diff --git a/.env.dev.example b/.env.dev.example deleted file mode 100644 index 3a967896e..000000000 --- a/.env.dev.example +++ /dev/null @@ -1,52 +0,0 @@ -DEBUG= True - -REDIS_HOST=redis -REDIS_PORT=6379 - -DATABASE_URL=postgis://postgres:admin@postgres:5432/ai -CELERY_BROKER_URL=redis://redis:6379/0 -CELERY_RESULT_BACKEND=redis://redis:6379/0 - -DJANGO_SECRET_KEY=dev-secret-key-change-in-production -DJANGO_DEBUG=True -DJANGO_ALLOWED_HOSTS=localhost,127.0.0.1,api - -RAMP_HOME=/ramp -TRAINING_WORKSPACE=/trainings -LOG_PATH=/app/log - -OSM_CLIENT_ID=your-osm-client-id -OSM_CLIENT_SECRET=your-osm-client-secret -OSM_URL=https://www.openstreetmap.org -OSM_SCOPE=read_prefs -OSM_LOGIN_REDIRECT_URI=http://127.0.0.1:3500/authenticate/ -OSM_SECRET_KEY=dev-osm-secret-key - -# Authentication: "legacy" or "hanko" -AUTH_PROVIDER=legacy -# HANKO_API_URL=https://dev.login.hotosm.org -# COOKIE_SECRET=your-cookie-secret -# COOKIE_DOMAIN=.hotosm.org -# COOKIE_SECURE=true -# JWT_AUDIENCE= -# LOGIN_URL=https://dev.login.hotosm.org -# OSM_REDIRECT_URI=http://127.0.0.1:8000/api/v1/auth/osm/callback/ - -ALLOWED_ORIGINS=http://127.0.0.1:3500 -FRONTEND_URL=http://127.0.0.1:3500 - -EMAIL_HOST=localhost -EMAIL_PORT=1025 -EMAIL_HOST_USER= -EMAIL_HOST_PASSWORD= -DEFAULT_FROM_EMAIL=noreply@localhost -EMAIL_USE_TLS=False - -ENABLE_FAIR_PREDICTOR=True - -## Frontend - -VITE_BASE_API_URL="http://localhost:8200/api/v1/" -VITE_FAIR_PREDICTOR_API_URL="http://localhost:8200/api/v1/fairpredictor/predict/" -VITE_AUTH_PROVIDER="legacy" -# VITE_HANKO_URL="https://dev.login.hotosm.org" diff --git a/.github/workflows/docker_build.yml b/.github/workflows/docker_build.yml index 5a1e3a187..b0a9c877b 100644 --- a/.github/workflows/docker_build.yml +++ b/.github/workflows/docker_build.yml @@ -4,7 +4,6 @@ on: branches: - master - develop - paths: - "backend/**" - ".github/workflows/docker_build.yml" @@ -12,16 +11,16 @@ on: branches: - master - develop - paths: - "backend/**" - ".github/workflows/docker_build.yml" + env: REGISTRY: ghcr.io IMAGE_NAME: ${{ github.repository }} jobs: - build-and-push-api-image: + build-api-image: runs-on: ubuntu-24.04 permissions: contents: read @@ -51,128 +50,22 @@ jobs: type=ref,event=tag type=semver,pattern={{version}} type=semver,pattern={{major}}.{{minor}} + type=raw,value=test - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - - name: Build and push API Docker image + - name: Build API Docker image uses: docker/build-push-action@v6 with: context: backend/ - file: backend/Dockerfile.API + file: backend/Dockerfile platforms: linux/amd64 provenance: false sbom: false - push: false + push: true tags: ${{ steps.meta_api.outputs.tags }} labels: ${{ steps.meta_api.outputs.labels }} cache-from: type=gha,scope=api,timeout=20m cache-to: type=gha,mode=max,scope=api,timeout=20m,ignore-error=true github-token: ${{ secrets.GITHUB_TOKEN }} - - build-and-push-worker-image: - needs: build-and-push-api-image - runs-on: ubuntu-24.04 - strategy: - matrix: - build_type: [cpu, gpu] - permissions: - contents: read - packages: write - steps: - - name: Remove unnecessary files - run: | - sudo rm -rf /usr/share/dotnet - sudo rm -rf "$AGENT_TOOLSDIRECTORY" - - - uses: actions/checkout@v5 - - - name: Log in to the Container registry - uses: docker/login-action@v3 - with: - registry: ${{ env.REGISTRY }} - username: ${{ github.actor }} - password: ${{ secrets.GITHUB_TOKEN }} - - - name: Extract metadata (tags, labels) for Worker Docker - id: meta_worker - uses: docker/metadata-action@v5 - with: - images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/fair-worker - tags: | - type=ref,event=branch,suffix=-${{ matrix.build_type }} - type=ref,event=tag,suffix=-${{ matrix.build_type }} - type=semver,pattern={{version}},suffix=-${{ matrix.build_type }} - type=semver,pattern={{major}}.{{minor}},suffix=-${{ matrix.build_type }} - - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 - - - name: Build and push Worker Docker image (${{ matrix.build_type }}) - uses: docker/build-push-action@v6 - with: - context: backend/ - file: backend/Dockerfile.workers - platforms: linux/amd64 - provenance: false - sbom: false - push: false - build-args: | - BUILD_TYPE=${{ matrix.build_type }} - tags: ${{ steps.meta_worker.outputs.tags }} - labels: ${{ steps.meta_worker.outputs.labels }} - cache-from: type=gha,scope=docker-worker-${{ matrix.build_type }},timeout=20m - cache-to: type=gha,mode=min,scope=docker-worker-${{ matrix.build_type }},timeout=20m,ignore-error=true - github-token: ${{ secrets.GITHUB_TOKEN }} - - build-and-push-offline-predictor-image: - runs-on: ubuntu-24.04 - needs: build-and-push-api-image - permissions: - contents: read - packages: write - steps: - - name: Remove unnecessary files - run: | - sudo rm -rf /usr/share/dotnet - sudo rm -rf "$AGENT_TOOLSDIRECTORY" - - - uses: actions/checkout@v5 - - - name: Log in to the Container registry - uses: docker/login-action@v3 - with: - registry: ${{ env.REGISTRY }} - username: ${{ github.actor }} - password: ${{ secrets.GITHUB_TOKEN }} - - - name: Extract metadata (tags, labels) for Offline Predictor Docker - id: meta_offline_predictor - uses: docker/metadata-action@v5 - with: - images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/fair-offline-predictor - tags: | - type=ref,event=branch - type=ref,event=tag - type=semver,pattern={{version}} - type=semver,pattern={{major}}.{{minor}} - - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 - - - name: Build and push Offline Predictor Docker image - uses: docker/build-push-action@v6 - with: - context: backend/ - file: backend/Dockerfile.API - platforms: linux/amd64 - provenance: false - sbom: false - push: false - build-args: | - BUILD_TARGET=predictor - tags: ${{ steps.meta_offline_predictor.outputs.tags }} - labels: ${{ steps.meta_offline_predictor.outputs.labels }} - cache-from: type=gha,scope=offline-predictor,timeout=20m - cache-to: type=gha,mode=max,scope=offline-predictor,timeout=20m,ignore-error=true - github-token: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/docker_publish_image.yml b/.github/workflows/docker_publish_image.yml index 8e1fde1a8..536befb85 100644 --- a/.github/workflows/docker_publish_image.yml +++ b/.github/workflows/docker_publish_image.yml @@ -66,7 +66,7 @@ jobs: uses: docker/build-push-action@v6 with: context: backend/ - file: backend/Dockerfile.API + file: backend/Dockerfile platforms: linux/amd64 provenance: false sbom: false @@ -91,142 +91,3 @@ jobs: (.image.os == "linux" and .image.architecture == "amd64") end ' >/dev/null - - build-and-push-worker-image: - needs: build-and-push-api-image - runs-on: ubuntu-24.04 - strategy: - matrix: - build_type: [cpu, gpu] - permissions: - contents: read - packages: write - steps: - - name: Remove unnecessary files - run: | - sudo rm -rf /usr/share/dotnet - sudo rm -rf "$AGENT_TOOLSDIRECTORY" - - - uses: actions/checkout@v5 - - - name: Log in to the Container registry - uses: docker/login-action@v3 - with: - registry: ${{ env.REGISTRY }} - username: ${{ github.actor }} - password: ${{ secrets.GITHUB_TOKEN }} - - - name: Extract metadata (tags, labels) for Worker Docker - id: meta_worker - uses: docker/metadata-action@v5 - with: - images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/fair-worker - tags: | - type=ref,event=branch,suffix=-${{ matrix.build_type }} - type=ref,event=tag,suffix=-${{ matrix.build_type }} - type=semver,pattern={{version}},suffix=-${{ matrix.build_type }} - type=semver,pattern={{major}}.{{minor}},suffix=-${{ matrix.build_type }} - - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 - - - name: Build and push Worker Docker image (${{ matrix.build_type }}) - id: build_worker - uses: docker/build-push-action@v6 - with: - context: backend/ - file: backend/Dockerfile.workers - platforms: linux/amd64 - provenance: false - sbom: false - push: true - build-args: | - BUILD_TYPE=${{ matrix.build_type }} - tags: ${{ steps.meta_worker.outputs.tags }} - labels: ${{ steps.meta_worker.outputs.labels }} - cache-from: ${{ (github.event_name == 'workflow_dispatch' && github.event.inputs.use_cache == 'false') && '' || format('type=gha,scope=docker-worker-{0},timeout=20m', matrix.build_type) }} - cache-to: ${{ (github.event_name == 'workflow_dispatch' && github.event.inputs.use_cache == 'false') && '' || format('type=gha,mode=min,scope=docker-worker-{0},timeout=20m,ignore-error=true', matrix.build_type) }} - github-token: ${{ secrets.GITHUB_TOKEN }} - - - name: Validate Worker manifest - env: - IMAGE_REF: ${{ env.REGISTRY }}/${{ github.repository_owner }}/fair-worker@${{ steps.build_worker.outputs.digest }} - run: | - json=$(docker buildx imagetools inspect --format '{{json .}}' "$IMAGE_REF") - echo "$json" | jq -e ' - if (.manifest.manifests? | type) == "array" then - (any(.manifest.manifests[]?; .platform.os == "linux" and .platform.architecture == "amd64")) - and - (all(.manifest.manifests[]?; (.platform.os != "unknown" and .platform.architecture != "unknown"))) - else - (.image.os == "linux" and .image.architecture == "amd64") - end - ' >/dev/null - - build-and-push-offline-predictor-image: - runs-on: ubuntu-24.04 - needs: build-and-push-api-image - permissions: - contents: read - packages: write - steps: - - name: Remove unnecessary files - run: | - sudo rm -rf /usr/share/dotnet - sudo rm -rf "$AGENT_TOOLSDIRECTORY" - - - uses: actions/checkout@v5 - - - name: Log in to the Container registry - uses: docker/login-action@v3 - with: - registry: ${{ env.REGISTRY }} - username: ${{ github.actor }} - password: ${{ secrets.GITHUB_TOKEN }} - - - name: Extract metadata (tags, labels) for Offline Predictor Docker - id: meta_offline_predictor - uses: docker/metadata-action@v5 - with: - images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/fair-offline-predictor - tags: | - type=ref,event=branch - type=ref,event=tag - type=semver,pattern={{version}} - type=semver,pattern={{major}}.{{minor}} - - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 - - - name: Build and push Offline Predictor Docker image - id: build_offline_predictor - uses: docker/build-push-action@v6 - with: - context: backend/ - file: backend/Dockerfile.API - platforms: linux/amd64 - provenance: false - sbom: false - push: true - build-args: | - BUILD_TARGET=predictor - tags: ${{ steps.meta_offline_predictor.outputs.tags }} - labels: ${{ steps.meta_offline_predictor.outputs.labels }} - cache-from: ${{ (github.event_name == 'workflow_dispatch' && github.event.inputs.use_cache == 'false') && '' || 'type=gha,scope=offline-predictor,timeout=20m' }} - cache-to: ${{ (github.event_name == 'workflow_dispatch' && github.event.inputs.use_cache == 'false') && '' || 'type=gha,mode=max,scope=offline-predictor,timeout=20m,ignore-error=true' }} - github-token: ${{ secrets.GITHUB_TOKEN }} - - - name: Validate Offline Predictor manifest - env: - IMAGE_REF: ${{ env.REGISTRY }}/${{ github.repository_owner }}/fair-offline-predictor@${{ steps.build_offline_predictor.outputs.digest }} - run: | - json=$(docker buildx imagetools inspect --format '{{json .}}' "$IMAGE_REF") - echo "$json" | jq -e ' - if (.manifest.manifests? | type) == "array" then - (any(.manifest.manifests[]?; .platform.os == "linux" and .platform.architecture == "amd64")) - and - (all(.manifest.manifests[]?; (.platform.os != "unknown" and .platform.architecture != "unknown"))) - else - (.image.os == "linux" and .image.architecture == "amd64") - end - ' >/dev/null diff --git a/.github/workflows/test_backend_build.yml b/.github/workflows/test_backend_build.yml index 3a6228e76..495dd9c63 100644 --- a/.github/workflows/test_backend_build.yml +++ b/.github/workflows/test_backend_build.yml @@ -1,5 +1,4 @@ -# .github/workflows/test_backend_build.yml -name: Backend Tests with UV and Python Matrix +name: Backend lint and tests on: push: @@ -9,6 +8,7 @@ on: paths: - "backend/**" - ".github/workflows/test_backend_build.yml" + - ".pre-commit-config.yaml" pull_request: branches: - master @@ -16,88 +16,76 @@ on: paths: - "backend/**" - ".github/workflows/test_backend_build.yml" + - ".pre-commit-config.yaml" jobs: - test_with_uv_matrix: + lint: runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v5 + + - uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 + with: + enable-cache: true + cache-dependency-glob: "backend/uv.lock" + + - name: Install backend dependencies + working-directory: ./backend + run: uv sync + + - name: Run pre-commit + run: uv run --directory backend pre-commit run --all-files --show-diff-on-failure + + test: + runs-on: ubuntu-latest + needs: lint services: - redis: - image: redis - options: >- - --health-cmd "redis-cli ping" - --health-interval 10s - ports: - - 6379:6379 postgres: - image: postgis/postgis:14-3.2 + image: postgis/postgis:17-3.5 env: POSTGRES_USER: admin POSTGRES_PASSWORD: password POSTGRES_DB: ai ports: - 5432:5432 - options: --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 2 - strategy: - fail-fast: false - matrix: - python-version: ["3.11"] + options: --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 5 + permissions: id-token: write steps: - - name: Check out code - uses: actions/checkout@v5 + - uses: actions/checkout@v5 - - name: Set up Python ${{ matrix.python-version }} and uv - uses: astral-sh/setup-uv@v6 + - uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: - python-version: ${{ matrix.python-version }} enable-cache: true - cache-dependency-glob: "uv.lock" + cache-dependency-glob: "backend/uv.lock" - name: Install gdal run: | - sudo apt-get update && sudo apt-get -y install gdal-bin libgdal-dev python3-gdal && sudo apt-get -y autoremove && sudo apt-get clean + sudo apt-get update + sudo apt-get -y install gdal-bin libgdal-dev python3-gdal + sudo apt-get -y autoremove + sudo apt-get clean - - name: Install Dependencies + - name: Install dependencies working-directory: ./backend - run: | - uv sync --group test + run: uv sync - - name: Clone Ramp - run: git clone https://github.com/kshitijrajsharma/ramp-code-fAIr.git ramp-code - - - name: Set up environment variables - run: | - echo "DATABASE_URL=postgis://admin:password@localhost:5432/ai" >> $GITHUB_ENV - echo "RAMP_HOME=${{ github.workspace }}" >> $GITHUB_ENV - echo "TRAINING_WORKSPACE=${{ github.workspace }}/backend/training" >> $GITHUB_ENV - - name: Run migrations + - name: Run migrations and tests env: - TESTING_TOKEN: ${{ secrets.TESTING_TOKEN }} - OSM_CLIENT_ID: ${{ secrets.OSM_CLIENT_ID }} - OSM_CLIENT_SECRET: ${{ secrets.OSM_CLIENT_SECRET }} - OSM_SECRET_KEY: ${{ secrets.OSM_SECRET_KEY }} - SECRET_KEY: "TEST_DJANGO_APP_SECRET_KEY" + DATABASE_URL: postgis://admin:password@localhost:5432/ai + SECRET_KEY: ci-test-secret-key-not-for-production-use-only DEBUG: "True" - # DATABASE_URL, RAMP_HOME, TRAINING_WORKSPACE are available from the previous step via $GITHUB_ENV + FRONTEND_URL: http://localhost:3500 + API_BASE_URL: http://localhost:8000/api/v1 + AUTH_PROVIDER: dev + FAIR_DEV_TOKEN: ci-test-token-min-32-chars-long-xxxxxx + ALLOWED_HOSTS: localhost,127.0.0.1,testserver + BUCKET_NAME: fair-ci-test + AWS_ACCESS_KEY_ID: ci-access-key + AWS_SECRET_ACCESS_KEY: ci-secret-key working-directory: ./backend run: | - uv run python manage.py makemigrations - uv run python manage.py makemigrations core - uv run python manage.py makemigrations login uv run python manage.py migrate - uv run python manage.py migrate login - uv run python manage.py migrate core - - - name: Run tests - env: - TESTING_TOKEN: ${{ secrets.TESTING_TOKEN }} - OSM_CLIENT_ID: ${{ secrets.OSM_CLIENT_ID }} - OSM_CLIENT_SECRET: ${{ secrets.OSM_CLIENT_SECRET }} - OSM_SECRET_KEY: ${{ secrets.OSM_SECRET_KEY }} - SECRET_KEY: "TEST_DJANGO_APP_SECRET_KEY" - DEBUG: "True" - # DATABASE_URL, RAMP_HOME, TRAINING_WORKSPACE are available from $GITHUB_ENV - working-directory: ./backend - run: uv run coverage run manage.py test tests + uv run pytest diff --git a/.gitignore b/.gitignore index 7b88b02bd..94512cda9 100644 --- a/.gitignore +++ b/.gitignore @@ -44,8 +44,10 @@ backend/postgres-data backend/media backend/data/* backend/log/* -backend/training/* -trainings/* +backend/logs/ +backend/artifacts/ +# backend/training/* +# trainings/* backend/.env backend/config.txt backend/postgres-data @@ -53,7 +55,7 @@ backend/.github ramp -trainings +# trainings fAIr-utilities **/.DS_Store @@ -62,6 +64,8 @@ fAIr-utilities data fair-app-data/* +*.log + # helm charts fair-*.tgz diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 000000000..0d2c43de7 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,46 @@ +default_install_hook_types: [ pre-commit, commit-msg, pre-push ] +default_language_version: + python: python3.12 + +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.15.12 + hooks: + - id: ruff-check + args: [ --fix ] + files: ^backend/ + - id: ruff-format + files: ^backend/ + + - repo: local + hooks: + - id: ty + name: ty + entry: uv run --directory backend ty check + language: system + types: [ python ] + files: ^backend/ + pass_filenames: false + + - id: uv-lock-check + name: uv lock check + entry: uv lock --directory backend --check + language: system + files: ^backend/(pyproject\.toml|uv\.lock)$ + pass_filenames: false + + - id: pytest + name: pytest (backend) + entry: uv run --directory backend pytest + language: system + types: [ python ] + files: ^backend/ + pass_filenames: false + stages: [ pre-push ] + + - id: commitizen + name: commitizen check + entry: uv run cz--config pyproject.toml check --commit-msg-file + files: ^backend/ + language: system + stages: [ commit-msg ] diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index fe17935f7..138867bce 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -34,19 +34,20 @@ Before you start contributing code, set up your local development environment: 2. **Set up Docker environment** (recommended): ```bash - ./setup.sh + docker compose up + cp backend/.env.example backend/.env + docker compose up api worker ``` - This will build all images, set up the database, and start all services. - 3. **Access the application**: - Frontend: - - API: - - API Docs: + - API root: + - Swagger UI: + - ReDoc: 4. **Make your changes** and see them live with hot reload! -For detailed setup instructions, see [Docker Installation Guide](./docs/Docker-installation.md). +For detailed setup instructions, see [Docker Installation Guide](./docs/Docker-installation.md) and [backend/README.md](./backend/README.md). ### Making Changes diff --git a/Makefile b/Makefile deleted file mode 100644 index cc6c79447..000000000 --- a/Makefile +++ /dev/null @@ -1,98 +0,0 @@ -.PHONY: help init setup build up down restart logs migrate makemigrations superuser collectstatic clean status shell test - -COMPOSE := docker compose -f docker-compose.dev.yml -PROFILE ?= cpu - -ifneq ($(filter logs,$(MAKECMDGOALS)),) - SERVICE_ARG := $(word 2,$(MAKECMDGOALS)) - $(eval $(SERVICE_ARG):;@:) -endif - -help: - @echo "Commands:" - @echo " make init [PROFILE=cpu|gpu]" - @echo " make setup" - @echo " make build [PROFILE=cpu|gpu]" - @echo " make up [PROFILE=cpu|gpu]" - @echo " make down" - @echo " make restart" - @echo " make status" - @echo " make logs [service]" - @echo " make shell" - @echo " make makemigrations" - @echo " make migrate" - @echo " make superuser" - @echo " make collectstatic" - @echo " make clean" - -setup: - @echo "Setup" - @[ -f .env.dev ] || cp .env.dev.example .env.dev - @mkdir -p fair-app-data/{log,ramp,trainings,postgres,redis} - -build: - @echo "Build" - @$(COMPOSE) build api frontend predictor - @$(COMPOSE) --profile $(PROFILE) build - -init: setup build down - @echo "Init" - @$(COMPOSE) up -d postgres redis - @echo "Waiting for database" - @sleep 10 - @$(COMPOSE) run --rm api python manage.py migrate - @$(COMPOSE) run --rm api python manage.py collectstatic --noinput - @$(COMPOSE) --profile $(PROFILE) up - @echo "Done" - @echo "Frontend: http://localhost:3500" - @echo "API: http://localhost:8200/api" - @echo "API Docs: http://localhost:8200/api/swagger" - -up: - @echo "Up" - @$(COMPOSE) --profile $(PROFILE) up - @echo "Done" - @echo "Frontend: http://localhost:3500" - @echo "API: http://localhost:8200/api" - @echo "API Docs: http://localhost:8200/api/swagger" - -down: - @echo "Down" - @$(COMPOSE) down --remove-orphans - -restart: - @echo "Restart" - @$(COMPOSE) restart - -logs: - @if [ -n "$(SERVICE_ARG)" ]; then $(COMPOSE) logs -f $(SERVICE_ARG); else $(COMPOSE) logs -f; fi - -makemigrations: - @echo "Makemigrations" - @$(COMPOSE) exec api python manage.py makemigrations - -migrate: - @echo "Migrate" - @$(COMPOSE) exec api python manage.py migrate - -collectstatic: - @echo "Collectstatic" - @$(COMPOSE) exec api python manage.py collectstatic --noinput - -superuser: - @echo "Superuser" - @$(COMPOSE) exec api python manage.py createsuperuser - -status: - @$(COMPOSE) ps - -shell: - @$(COMPOSE) exec api bash - -clean: - @echo "Clean" - @$(COMPOSE) down -v --remove-orphans - @docker ps -q --filter network=fair-network | xargs -r docker rm -f >/dev/null 2>&1 || true - @docker network rm fair-network >/dev/null 2>&1 || true - @echo "Removing data directories" - @rm -rf fair-app-data \ No newline at end of file diff --git a/backend/.dockerignore b/backend/.dockerignore new file mode 100644 index 000000000..40d21c8d3 --- /dev/null +++ b/backend/.dockerignore @@ -0,0 +1,38 @@ +# Secrets — must never enter an image. +.env +.env.* +!.env.example + +# Local dev caches and venvs (rebuilt inside the image). +.venv +__pycache__ +*.pyc +*.pyo +*.pyd +.pytest_cache +.ruff_cache +.mypy_cache +.ty_cache +.coverage +htmlcov +.tox + +# Local tooling state. +.zen +.git +.gitignore +.python-version + +# Build/dev-only sources not needed at runtime. +tests +docs +logs +data +artifacts + +# Repo metadata. +README.md +CHANGELOG.md +justfile +Dockerfile +.dockerignore diff --git a/backend/.gitignore b/backend/.gitignore index a2fa82f26..be6c2bbcc 100644 --- a/backend/.gitignore +++ b/backend/.gitignore @@ -160,4 +160,6 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ -# uv.lockss \ No newline at end of file +# uv.lockss + +.zen \ No newline at end of file diff --git a/backend/.pre-commit-config.yaml b/backend/.pre-commit-config.yaml deleted file mode 100644 index b8b8d8ba1..000000000 --- a/backend/.pre-commit-config.yaml +++ /dev/null @@ -1,23 +0,0 @@ -repos: - - # Versioning: Commit messages & changelog - - repo: https://github.com/commitizen-tools/commitizen - rev: v3.27.0 - hooks: - - id: commitizen - stages: [commit-msg] - - # Lint / autoformat: Python code - - repo: https://github.com/astral-sh/ruff-pre-commit - rev: "v0.4.8" - hooks: - - id: ruff - - id: ruff-format - - # Trailing whitespace - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v2.3.0 - hooks: - - id: check-yaml - - id: end-of-file-fixer - - id: trailing-whitespace diff --git a/backend/ARCHITECTURE.md b/backend/ARCHITECTURE.md new file mode 100644 index 000000000..011f15308 --- /dev/null +++ b/backend/ARCHITECTURE.md @@ -0,0 +1,254 @@ +# fAIr Backend : Architecture + +The fAIr backend is a Django REST Framework service that owns dataset, training, and prediction orchestration. It is a thin coordinator: it persists ownership and lifecycle in postgres, validates inputs, and delegates the heavy work : tile + label downloads, ML training, inference to async workers (django-tasks) and a ZenML server. Datasets, base models, and finetuned local models live in a STAC catalog; pipeline runs and step state live in ZenML; chips, weights, and prediction outputs live in S3-compatible object storage. + +For the cluster topology, deployment manifests, and ops notes specific to the Kubernetes setup, see [`fAIr-models/infra/`](https://github.com/hotosm/fAIr-models/tree/main/infra). + +--- + +## 1. End-to-end user flow + +The user makes five calls. + +```mermaid +flowchart LR + A[1. Draw AOI
POST /aois/] --> B[2. Build dataset
POST /datasets/build/] + B --> C[3. Submit training
POST /trainings/submit/] + C --> D[4. Promote
POST /trainings/{id}/publish/] + D --> E[5. Predict
POST /predictions/submit/
GET /predictions/{id}/result/] +``` + +What happens behind each step: + +| Step | What the backend does | Output | +| --- | --- | --- | +| **1. AOI** | Validates polygon, stores in postgres. | Row in `datasets_aoi`. | +| **2. Build dataset** | Async worker downloads OAM tiles + OSM labels for the AOI, uploads chips + `labels.geojson` to MinIO, registers a STAC item under `datasets/`. | Published STAC dataset. Poll `GET /datasets/{id}/` until `build_status=published`. | +| **3. Submit training** | Async worker submits a ZenML pipeline. ZenML schedules an orchestrator + step pods on the autoscaling ml pool (`split -> train -> eval -> onnx`). Worker polls ZenML status into the DB every 30s. | Trained `weights.pt` + `model.onnx` in MinIO. Poll `GET /trainings/{id}/` until `status=completed`. Tail with `GET /trainings/runs/{run_id}/logs/`. | +| **4. Promote** | API builds a versioned STAC `local-models/` item from the run's hyperparameters + asset URLs, validates against the base-model's `fair:hyperparameters_spec`, publishes. | `local_model_stac_id`. | +| **5. Predict** | Async worker downloads chips for the requested bbox, submits an inference pipeline, then post-processes the geojson into `.fgb` + `.pmtiles` via tippecanoe. | Three presigned URLs at `GET /predictions/{id}/result/` once `results_ready=true`. | + +### Key invariants + +- **Datasets, base-models, and local-models are STAC items.** The postgres tables (`datasets_dataset`, `modelregistry_localmodel`) are thin pointers that hold ownership + lifecycle state. Per-version metadata (assets, hyperparameter specs, mlm:training image, etc.) lives only in STAC. +- **Training and prediction are async.** The `POST /…/submit/` endpoints return 202 + a row whose `zenml_run_id` is null until the worker actually submits the pipeline. Status flow: `initializing -> submitted -> provisioning -> running -> completed | failed | …`. +- **`results_ready` on a Prediction is a separate flag from `status=completed`.** The worker's `post_run` step generates `.fgb` and `.pmtiles` from the geojson via tippecanoe *after* ZenML reports completion; until that finishes, `/predictions/{id}/result/` returns 409. +- **Publish is the only step that writes a versioned local-model STAC item.** It validates `mlm:hyperparameters` (logged by the training pipeline) against the base-model's `fair:hyperparameters_spec`. Any logged key not declared in the spec causes a 500 — the spec must stay in sync with the keys the training image actually emits. + +--- + +## 2. Database schema + +The Django backend owns one postgres database (`fair`). ZenML, MLflow, and the fair-models pipelines write to their own databases (`zenml`, `mlflow`, `fair_models`) on the same postgres instance. + +```mermaid +erDiagram + OsmUser ||--o{ AOI : owns + OsmUser ||--o{ Dataset : owns + OsmUser ||--o{ LocalModel : owns + OsmUser ||--o{ TrainingRunRef : owns + OsmUser ||--o{ Prediction : owns + + Dataset ||--o{ AOI : "has many" + Dataset ||--o{ TrainingRunRef : "is input to (PROTECT)" + LocalModel ||--o{ TrainingRunRef : "has many versions" + + OsmUser { + bigint osm_id PK + string username + string email + string img_url + bool email_verified + bool newsletter_subscription + bool account_deletion_requested + string-array notifications_delivery_methods + } + + Dataset { + int id PK + string stac_id UK "STAC item id under datasets/" + string title + url source_imagery "TMS template" + string build_status "draft|building|published|failed" + bigint user_id FK "-> OsmUser.osm_id" + datetime created_at + datetime last_modified + } + + AOI { + int id PK + int dataset_id FK "nullable, set by build/" + polygon geom "EPSG:4326, GiST index" + bigint user_id FK + datetime created_at + } + + LocalModel { + int id PK + string name UK "= ZenML model_name = STAC mlm:name" + string status "draft|published|archived" + bigint user_id FK + datetime created_at + } + + TrainingRunRef { + int id PK + string zenml_run_id UK "nullable until worker submits" + int local_model_id FK "-> LocalModel" + string base_model_stac_id "STAC base-models item" + int dataset_id FK "PROTECT (can't drop dataset with runs)" + json overrides "epochs, batch_size, learning_rate, ..." + string title + json keywords + text description + string status + bigint user_id FK + datetime submitted_at + datetime last_polled_at + } + + Prediction { + int id PK + string zenml_run_id UK + string local_model_stac_id "STAC local-models item id" + url image_uri "TMS template" + json bbox "[w,s,e,n]" + smallint zoom + json params "confidence_threshold, ..." + bool remove_osm + bool is_public + text description + string status + bool results_ready "geojson+fgb+pmtiles materialized" + string mapswipe_project_id + bigint user_id FK + datetime submitted_at + datetime last_polled_at + } +``` +--- + +## 3. API reference + +All endpoints live under `/api/v1/` and require `Authorization: Bearer `. The token is `FAIR_DEV_TOKEN` when `AUTH_PROVIDER=dev`, or a Hanko-issued JWT when `AUTH_PROVIDER=hanko`. Swagger UI: `/api/docs/`. OpenAPI: `/api/schema/`. + +### Core flow + +| Method | Path | Purpose | +| --- | --- | --- | +| GET | `/health/` | Liveness/readiness | +| POST | `/aois/` | Create an AOI polygon (GeoJSON Feature) | +| GET | `/aois/` | List AOIs (bbox-filterable) | +| POST | `/datasets/build/` | Enqueue a dataset build job. `aoi_ids`, `source_imagery` (TMS), `zoom`, `label_tasks`, `label_classes`, `keywords` (allowed: `building`, `road`, `tree`, `water`, `landuse`), `label_type`, `geometry_type` | +| GET | `/datasets/{id}/?expand=stac` | Inspect dataset, with STAC metadata + presigned `chips`/`labels` URLs once published | +| GET | `/local-models/` | List published local models (the *family*; STAC has per-version detail) | +| GET | `/local-models/{id}/runs/` | List ZenML pipeline runs that produced this model | +| POST | `/trainings/submit/` | Enqueue a finetune. `base_model_stac_id`, `dataset_stac_id`, `model_name`, `overrides` (must match base-model's `fair:hyperparameters_spec`) | +| GET | `/trainings/{id}/` | Run state including `zenml_run_id` | +| GET | `/trainings/runs/{run_id}/status/` | Force-poll ZenML; refreshes the DB row | +| GET | `/trainings/runs/{run_id}/logs/?tail=N&step=name` | Tail orchestrator or step logs | +| POST | `/trainings/runs/{run_id}/cancel/?graceful=true` | Stop a running pipeline | +| POST | `/trainings/{id}/publish/` | Promote a completed run to a versioned local-model. Validates against base-model spec; writes a new STAC item under `local-models/`. Returns `local_model_stac_id` | +| POST | `/predictions/submit/` | Enqueue inference. `model_stac_id`, `image_uri` (TMS), `bbox`, `zoom`, `params`, `remove_osm` | +| GET | `/predictions/{id}/` | Status + assets (presigned) once `results_ready=true` | +| GET | `/predictions/{id}/result/` | Just the three presigned URLs (geojson / fgb / pmtiles); 409 until `results_ready` | +| GET | `/predictions/runs/{run_id}/{status,logs}/` | Same shape as trainings | +| POST | `/predictions/{id}/{publish,unpublish}/` | Toggle `is_public` (anonymous read of result) | + +### Schema endpoints + +| Method | Path | +| --- | --- | +| GET | `/api/schema/` (raw OpenAPI) | +| GET | `/api/docs/` (Swagger UI) | +| GET | `/api/redoc/` (ReDoc) | + +### User test + +Send these one at a time from Swagger (`/api/docs/`) or any HTTP client. Every request needs `Authorization: Bearer `. Substitute the IDs returned from each step into the next. + +**1. Create the AOI** : `POST /api/v1/aois/` + +```json +{ + "type": "Feature", + "geometry": { + "type": "Polygon", + "coordinates": [[ + [85.51678, 27.63133], [85.52323, 27.63133], + [85.52323, 27.63743], [85.51678, 27.63743], + [85.51678, 27.63133] + ]] + }, + "properties": { "dataset": null } +} +``` + +Response carries `properties.id` -> call this `AOI_ID`. + +**2. Build the dataset** : `POST /api/v1/datasets/build/` + +```json +{ + "title": "smoke-banepa", + "description": "e2e test", + "source_imagery": "https://tiles.openaerialmap.org/62d85d11d8499800053796c1/0/62d85d11d8499800053796c2/{z}/{x}/{y}", + "zoom": 19, + "aoi_ids": [AOI_ID], + "label_tasks": ["object-detection"], + "label_classes": [{ "name": "building", "classes": ["*"] }], + "keywords": ["building"], + "label_type": "vector", + "geometry_type": "polygon" +} +``` + +Response: `id` (-> `DATASET_ID`), `stac_id` (-> `STAC_ID`), `build_status: "building"`. + +**3. Wait for the build** : `GET /api/v1/datasets/{DATASET_ID}/` + +Poll until `build_status == "published"` (~2 min for this AOI). + +**4. Submit the fine-tune** : `POST /api/v1/trainings/submit/` + +```json +{ + "base_model_stac_id": "yolo11n-detection", + "dataset_stac_id": "STAC_ID", + "model_name": "yolo11n-detection-finetuned-banepa-smoke", + "overrides": { + "epochs": 3, + "batch_size": 2, + "learning_rate": 0.01, + "chip_size": 640 + } +} +``` + +Response: `id` -> `TR_ID`. Poll `GET /api/v1/trainings/{TR_ID}/` until `status == "completed"` (~22 min, ml-pool autoscale + 4 pipeline steps). Tail logs anytime with `GET /api/v1/trainings/runs/{zenml_run_id}/logs/?tail=100`. + +**5. Promote** — `POST /api/v1/trainings/{TR_ID}/publish/` + +```json +{ "description": "smoke" } +``` + +Response: `local_model_stac_id` -> `LM_STAC_ID`. Inspect with `GET /api/v1/local-models/` and the STAC item at `https://stac./stac/collections/local-models/items/{LM_STAC_ID}` to see `weights.pt`, `model.onnx`, training metrics. + +**6. Submit the prediction** : `POST /api/v1/predictions/submit/` + +```json +{ + "model_stac_id": "LM_STAC_ID", + "image_uri": "https://tiles.openaerialmap.org/62d85d11d8499800053796c1/0/62d85d11d8499800053796c2/{z}/{x}/{y}", + "bbox": [85.51678, 27.63133, 85.52323, 27.63743], + "zoom": 19, + "params": { "confidence_threshold": 0.25 } +} +``` + +Response: `id` -> `PRED_ID`. Poll `GET /api/v1/predictions/{PRED_ID}/` until `results_ready == true` (~10 min). + +**7. Fetch the results** : `GET /api/v1/predictions/{PRED_ID}/result/` + +Returns three presigned URLs (`geojson`, `fgb`, `pmtiles`). Open the geojson , expect ~150-200 building bounding-box polygons for this AOI. diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 000000000..4609f245b --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,68 @@ +ARG PYTHON_VERSION=3.12 +ARG UV_VERSION=0.5 + +FROM ghcr.io/astral-sh/uv:${UV_VERSION}-python${PYTHON_VERSION}-bookworm-slim AS builder + +ENV UV_LINK_MODE=copy \ + UV_COMPILE_BYTECODE=1 \ + UV_PYTHON_DOWNLOADS=never + +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + libgdal-dev \ + libproj-dev \ + gdal-bin \ + proj-bin \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +COPY pyproject.toml uv.lock ./ +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-install-project --no-default-groups + +COPY . . +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-default-groups + + +FROM python:${PYTHON_VERSION}-slim-bookworm AS runtime + +# Build-time deps for tippecanoe : geojson2pmtilesfgb +RUN apt-get update && apt-get install -y --no-install-recommends \ + gdal-bin \ + libgdal32 \ + libproj25 \ + proj-bin \ + libpq5 \ + ca-certificates \ + git \ + build-essential \ + zlib1g-dev \ + libsqlite3-dev \ + && git clone --depth=1 https://github.com/felt/tippecanoe /tmp/tippecanoe \ + && cd /tmp/tippecanoe \ + && make -j"$(nproc)" \ + && make install \ + && cd / \ + && rm -rf /tmp/tippecanoe \ + && apt-get purge -y --auto-remove build-essential zlib1g-dev libsqlite3-dev \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +COPY --from=builder /app /app + +# ZenML's CodeArchive uses `git ls-files --others --exclude-standard` to decide +# what to upload as the pipeline source bundle. Without a repo + .gitignore it +# falls back to walking everything under WORKDIR +RUN printf '.venv/\nartifacts/\n.zen/\n*.pyc\n__pycache__/\n*.log\n' > /app/.gitignore \ + && git -C /app init -q -b main + +ENV PATH="/app/.venv/bin:${PATH}" \ + PYTHONUNBUFFERED=1 \ + PYTHONDONTWRITEBYTECODE=1 + +EXPOSE 8000 + +CMD ["gunicorn", "config.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "3", "--access-logfile", "-"] diff --git a/backend/Dockerfile.API b/backend/Dockerfile.API deleted file mode 100644 index b9f12517b..000000000 --- a/backend/Dockerfile.API +++ /dev/null @@ -1,71 +0,0 @@ -## docker build -t fair-api -f Dockerfile.API . - -## For Development: - -## docker run --env-file .env --rm -p 8000:8000 -v $(pwd):/app/code --name fair-api-container fair-api - -## in order to access localhost port to your system from docker env you might wanna use : host.docker.internal or ip -FROM ghcr.io/astral-sh/uv:python3.11-bookworm-slim AS builder - -ARG BUILD_TARGET=api - -# Configure uv settings -ENV UV_COMPILE_BYTECODE=1 -ENV UV_LINK_MODE=copy -ENV UV_PYTHON_DOWNLOADS=0 - -RUN apt-get update && apt-get install -y --no-install-recommends \ - gdal-bin \ - libgdal-dev \ - gcc \ - build-essential \ - python3-dev \ - && apt-get clean \ - && rm -rf /var/lib/apt/lists/* - -ENV CPLUS_INCLUDE_PATH=/usr/include/gdal -ENV C_INCLUDE_PATH=/usr/include/gdal - -WORKDIR /app - -COPY pyproject.toml manage.py /app/ - -RUN uv lock - -RUN --mount=type=cache,target=/root/.cache/uv \ - echo "Supplied BUILD_TARGET: $BUILD_TARGET" && \ - if [ "$BUILD_TARGET" = "predictor" ]; then \ - uv sync \ - --frozen \ - --no-install-project \ - --no-dev \ - --group prediction-workers; \ - else \ - uv sync \ - --frozen \ - --no-install-project \ - --no-dev; \ - fi - -COPY fairproject /app/fairproject -COPY core /app/core -COPY login /app/login - - -FROM python:3.11-slim-bookworm - -RUN apt-get update && apt-get install -y --no-install-recommends \ - gdal-bin \ - libgdal-dev \ - && apt-get clean \ - && rm -rf /var/lib/apt/lists/* - -COPY --from=builder /app /app - -ENV PATH="/app/.venv/bin:$PATH" - -WORKDIR /app - -EXPOSE 8080 - -CMD ["python", "manage.py", "runserver_with_q", "0.0.0.0:8000"] \ No newline at end of file diff --git a/backend/Dockerfile.workers b/backend/Dockerfile.workers deleted file mode 100644 index 965ce7235..000000000 --- a/backend/Dockerfile.workers +++ /dev/null @@ -1,33 +0,0 @@ -ARG BUILD_TYPE=cpu - -FROM ghcr.io/hotosm/ramp-code-fair:latest-${BUILD_TYPE} AS builder - - -RUN pip install --no-cache-dir uv - -ENV UV_COMPILE_BYTECODE=1 \ - UV_LINK_MODE=copy \ - UV_NO_MANAGED_PYTHON=1 - -WORKDIR /app - -COPY pyproject.toml manage.py /app/ - -RUN uv lock - -RUN uv pip compile --python-version=3.10 pyproject.toml -o requirements.txt --group api --group base-workers --group ramp-workers \ - && pip install --no-cache-dir -r requirements.txt - -COPY fairproject /app/fairproject -COPY core /app/core -COPY login /app/login -COPY docker/cuda-libdevice /usr/local/cuda/nvvm/libdevice -# FROM ghcr.io/hotosm/ramp-code-fair:latest-${BUILD_TYPE} AS final - -# COPY --from=builder /usr/local/bin/ /usr/local/bin/ -# COPY --from=builder /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages -# COPY --from=builder /app /app - -EXPOSE 8080 - -CMD ["bash"] \ No newline at end of file diff --git a/backend/README.md b/backend/README.md index 56caa006e..295b7b0cc 100644 --- a/backend/README.md +++ b/backend/README.md @@ -1,94 +1,173 @@ -![example workflow](https://github.com/omranlm/TDB/actions/workflows/backend_build.yml/badge.svg) +# fAIr Backend -## Backend is created with [Django](https://www.djangoproject.com/) +Thin coordination layer for the fAIr AI-Assisted Mapping platform. Owns the public REST API, the user database, and the orchestration of dataset builds, training runs and predictions. ML pipelines and STAC catalog operations live in [fair-py-ops](https://github.com/hotosm/fAIr-models) and run on a ZenML stack. -This project was bootstrapped with [Geodjango Template](https://github.com/itskshitiz321/geodjangotemplate.git) +Model code lives in per-model docker images that the ZenML k8s orchestrator pulls. -#### For Quickly Getting Started +## Quick start -**Note:** Depending upon your OS and Env installation will vary, This project tightly depends on [Tensorflow](https://www.tensorflow.org/install/pip) with GPU support so accordingly build your development environment - -### Install UV - -```bash -curl -LsSf https://astral.sh/uv/install.sh | sh -``` - -### Sync proj - -```bash -uv sync -``` - -### Make sure you have postgresql installed with postgis extension enabled - -#### Configure .env: - - Create .env in the root backend project , and add the credentials as provided on .env_sample , Export your secret key and database url to your env - - Export your database url - ``` - export DATABASE_URL=postgis://postgres:postgres@localhost:5432/ai - ``` - - You will need more env variables (Such as Ramp home, Training Home) that can be found on ```.sample_env``` - -#### Now change your username, password and db name in settings.py accordingly to your database - - uv run python manage.py makemigrations login core - uv run python manage.py migrate - uv run python manage.py runserver - -### Now server will be available in your 8000 port on web, you can check out your localhost:8000/admin for admin panel - -To login on admin panel, create your superuser and login with your credentials restarting the server - - python manage.py createsuperuser - -## Authentication - -fAIr uses oauth2.0 Authentication using [osm-login-python](https://github.com/kshitijrajsharma/osm-login-python) - -1. Get your login Url - Hit `/api/v1/auth/login/ ` - - URL will give you login URL which you can use to provide your osm credentials and authorize fAIr - - After successful login you will get access-token that you can use across all osm login required endpoints in fAIr -2. Check authentication by getting back your data - Hit `/api/v1/auth/me/` - - URL requires access-token as header and in return you will see your osm username, id and image url - -## Start Celery Workers - -Sync workers environment: - -```bash -uv sync --group base-workers -``` - -Basic worker: - -```bash -uv run celery -A fairproject worker --loglevel=INFO -Q ramp_training,yolo_training -``` - -With auto-reload (development): +Prerequisites: a running fair-py-ops dev stack (kind cluster + ZenML + STAC API + MinIO + MLflow). See [fair-py-ops/infra/cli](https://github.com/hotosm/fAIr-models/tree/main/infra/cli) for the single-image bring-up. ```bash -uv run watchmedo auto-restart -d . -p '*.py' --recursive -- celery -A fairproject worker --loglevel=INFO -Q ramp_training,yolo_training +just setup # uv sync + pre-commit install +cp .env.example .env # fill in real values +just migrate +just run # dev server on :8000 +just worker # second terminal: db_worker for background tasks ``` -## Start Background Tasks +OpenAPI schema at `/api/schema/`, Swagger UI at `/api/docs/`, ReDoc at `/api/redoc/`. + +## Environment + +`.env` is read by `pydantic-settings`. Empty values are treated as unset and fall back to defaults. Required vars raise at process boot if missing. `SecretStr` values are masked in tracebacks. `.env.example` mirrors the tables below. + +### Core Django + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `DEBUG` | no | `false` | Django debug mode. In prod (`false`), `SECRET_KEY` must be at least 32 chars and not contain `dev` or `unsafe`. | +| `SECRET_KEY` | yes | (none) | Django secret. Strict length/strength check when `DEBUG=false`. | +| `DATABASE_URL` | yes | (none) | Postgres URL. Scheme must be `postgres`, `postgresql`, or `postgis`. | +| `DATABASE_SSL_MODE` | no | `null` | psycopg `sslmode`. Set to `require` for hosted Postgres. | +| `ALLOWED_HOSTS` | no | `[]` | Comma-separated list. | +| `CSRF_TRUSTED_ORIGINS` | no | `[]` | Comma-separated list. | +| `CORS_ALLOWED_ORIGINS` | no | `[]` | Comma-separated list. | +| `SECURE_SSL_REDIRECT` | no | `true` | Force HTTPS redirect at the Django layer. | +| `FRONTEND_URL` | yes | (none) | Public URL of the SPA. Used in emails and CORS. | +| `API_BASE_URL` | yes | (none) | Public URL of this backend (e.g. `http://localhost:8000/api/v1`). | +| `HOSTNAME` | no | `127.0.0.1` | Used by the OpenAPI server URL. | + +### Authentication + +`AUTH_PROVIDER` selects the auth backend. Both share one contract: `Authorization: Bearer `. `hanko` (production) validates a per-user JWT issued by Hanko (sent via Bearer header or `hanko` cookie). `dev` (local only) compares the Bearer token against the static `FAIR_DEV_TOKEN`; anyone with the token gets full dev-user access. Same header in dev and prod, only the issuer differs. + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `AUTH_PROVIDER` | no | `hanko` | One of `hanko`, `dev`. | +| `FAIR_DEV_TOKEN` | when `AUTH_PROVIDER=dev` | `null` | Static dev token. Generate with `openssl rand -hex 32`. Never commit. | +| `HANKO_API_URL` | when `AUTH_PROVIDER=hanko` | `null` | Hanko backend URL. | +| `COOKIE_SECRET` | when `AUTH_PROVIDER=hanko` | `null` | Used to verify Hanko-signed cookies. | +| `COOKIE_DOMAIN` | no | `null` | Cookie scope domain. | +| `COOKIE_SECURE` | no | `null` | Force `Secure` cookie flag. | +| `JWT_AUDIENCE` | no | `null` | Expected `aud` claim. | +| `LOGIN_URL` | no | `https://login.hotosm.org` | HOT login portal URL. | +| `LOGIN_INTERNAL_API_KEY` | no | `null` | Server-to-server key against the login portal. | +| `LOGIN_BACKEND_URL` | no | `null` | Login portal backend URL. | +| `OSM_LOGIN_REDIRECT_URI` | no | `null` | Required only when Hanko's "connect existing OSM account" flow is enabled. | + +### fair-py-ops (ZenML + STAC) + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `FAIR_ZENML_STORE_URL` | yes (at runtime) | `null` | URL of the deployed ZenML server. Optional at boot, raises loud at first call site. | +| `FAIR_ZENML_STORE_API_KEY` | yes (at runtime) | `null` | Mint via `kubectl exec deploy/zenml -- zenml service-account create fair-cli`. | +| `FAIR_STAC_API_URL` | yes (at runtime) | `null` | URL of the STAC API root (eoapi-stac-fastapi). | +| `FAIR_STAC_API_KEY` | prod | `null` | Bearer token for the STAC Transactions extension. | + +### Object storage (S3 / MinIO) + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `BUCKET_NAME` | yes (at runtime) | `null` | S3 / MinIO bucket. | +| `PARENT_BUCKET_FOLDER` | no | `dev` | Per-environment prefix inside the bucket. | +| `AWS_REGION` | no | `us-east-1` | S3 region. | +| `AWS_ACCESS_KEY_ID` | yes (at runtime) | `null` | | +| `AWS_SECRET_ACCESS_KEY` | yes (at runtime) | `null` | | +| `AWS_ENDPOINT_URL` | no | `null` | Set for non-AWS S3 (MinIO, Cloudflare R2, etc.). | +| `PRESIGNED_URL_EXPIRY` | no | `900` | Presigned-URL TTL in seconds. | + +### Rate limits + database pool + +DRF throttle scopes use `/`, e.g. `1000/h`. Use the Django-native pool OR PgBouncer, not both. + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `USER_RATE_LIMIT` | no | `1000/h` | Authenticated requests. | +| `ANON_RATE_LIMIT` | no | `100/h` | Anonymous requests. | +| `TRAINING_RATE_LIMIT` | no | `10/h` | Training submission throttle. | +| `PREDICTION_RATE_LIMIT` | no | `50/h` | Prediction submission throttle. | +| `DB_POOL_MIN_SIZE` | no | `4` | Django 5.1+ native PostgreSQL connection pool minimum. | +| `DB_POOL_MAX_SIZE` | no | `20` | Pool maximum. | +| `DB_POOL_TIMEOUT` | no | `30` | Seconds to wait for a free connection. | + +### OSM raw-data API + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `RAW_DATA_API_URL` | no | `https://api-prod.raw-data.hotosm.org/v1` | HOT Raw Data API root. | + +### Mapswipe + +Off by default. When `ENABLE_MAPSWIPE=false`, `POST /api/v1/predictions//mapswipe/` returns 503. The `/api/v1/health/` endpoint reports `mapswipe.reachable` when enabled. + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `ENABLE_MAPSWIPE` | no | `false` | Master toggle. | +| `MAPSWIPE_BACKEND_URL` | no | `null` | Mapswipe backend URL. | +| `MAPSWIPE_MANAGER_URL` | no | `null` | Mapswipe manager URL. | +| `MAPSWIPE_WEB_URL` | no | `null` | Mapswipe web app URL. | +| `MAPSWIPE_CSRFTOKEN_KEY` | when `ENABLE_MAPSWIPE=true` | `null` | CSRF cookie name on the Mapswipe backend. | +| `MAPSWIPE_FB_AUTH_URL` | when `ENABLE_MAPSWIPE=true` | `null` | Firebase auth endpoint. | +| `MAPSWIPE_FB_USERNAME` | when `ENABLE_MAPSWIPE=true` | `null` | Firebase service-account username. | +| `MAPSWIPE_FB_PASSWORD` | when `ENABLE_MAPSWIPE=true` | `null` | Firebase service-account password. | +| `MAPSWIPE_TUTORIAL_ID` | no | `37` | Mapswipe tutorial ID injected into pushed projects. | +| `MAPSWIPE_ORGANIZATION_ID` | no | `4` | Mapswipe organization ID. | +| `MAPSWIPE_VERIFICATION_NUMBER` | no | `3` | Number of crowd verifications required per tile. | +| `MAPSWIPE_POLL_INTERVAL` | no | `10` | Seconds between Mapswipe push-status polls. | +| `MAPSWIPE_POLL_TIMEOUT` | no | `600` | Maximum total seconds to wait for a Mapswipe push. | + +### Email + +Only checked when `DEBUG=false`. + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `EMAIL_HOST` | no | `smtp.gmail.com` | SMTP host. | +| `EMAIL_PORT` | no | `587` | SMTP port. | +| `EMAIL_USE_TLS` | no | `true` | STARTTLS. | +| `EMAIL_USE_SSL` | no | `false` | Implicit TLS (mutually exclusive with `EMAIL_USE_TLS`). | +| `EMAIL_HOST_USER` | no | `""` | SMTP username. | +| `EMAIL_HOST_PASSWORD` | no | `""` | SMTP password. | +| `DEFAULT_FROM_EMAIL` | no | `no-reply@fair.hotosm.org` | `From:` header for outbound mail. | + +### Logging + pagination + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `LOG_PATH` | no | `./logs` | Directory for rotating log files. | +| `DEFAULT_PAGINATION_SIZE` | no | `50` | DRF page size. | +| `SESSION_COOKIE_AGE` | no | `3600` | Session cookie TTL in seconds. | +| `CACHE_TIMEOUT_MINUTES` | no | `5` | Default LocMem cache TTL for non-STAC entries. | +| `LOG_LINE_STREAM_TRUNCATE_VALUE` | no | `10` | Per-step log-line truncation factor for streamed pipeline logs. | + +### Operational tuning + +All have safe defaults; only set to override. + +| Name | Required | Default | Description | +|------|----------|---------|-------------| +| `HEALTH_PROBE_TIMEOUT` | no | `2.0` | Seconds each HTTP probe waits before marking a dependency unreachable in `GET /api/v1/health/`. | +| `PREDICTION_SYNC_INTERVAL` | no | `15` | Seconds between prediction-status poll re-enqueues. | +| `TRAINING_SYNC_INTERVAL` | no | `30` | Seconds between training-status poll re-enqueues. | +| `STAC_CACHE_TTL` | no | `300` | Seconds the LocMem cache holds a STAC item before re-fetching. Raise in prod for lower STAC load; lower in dev to see property changes faster. | +| `STAC_BULK_FETCH_WORKERS` | no | `16` | Thread pool size for parallel STAC item fetches when `?expand=stac` is used on list endpoints. | +| `PMTILES_MIN_ZOOM` | no | `10` | Min zoom passed to `tippecanoe` for PMTiles generation. | +| `PMTILES_MAX_ZOOM` | no | `20` | Max zoom passed to `tippecanoe` for PMTiles generation. | + +## Worker process + +Background work uses Django's built-in `django.tasks` framework with the [`django-tasks-db`](https://github.com/RealOrangeOne/django-tasks-db) backend (Postgres-backed, no Redis required). ```bash -uv run python manage.py qcluster +just worker # runs python manage.py db_worker ``` -## Run Tests +## Tests, lint, types ```bash -uv run python manage.py test +just test # pytest +just lint # pre-commit run --all-files (ruff + format + ty + uv-lock-check + commitizen) ``` -# Docker Development - -See [docker-setup.md](../docs/Docker-installation.md) for Docker setup with hot-reload enabled. +Tests under `backend/tests/` import across apps and mock `shared.integrations.zenml`; nothing hits a live ZenML server. For end-to-end checks against the dev stack drive the public API with curl (see `/api/docs/`). diff --git a/backend/core/__init__.py b/backend/accounts/__init__.py similarity index 100% rename from backend/core/__init__.py rename to backend/accounts/__init__.py diff --git a/backend/login/admin.py b/backend/accounts/admin.py similarity index 97% rename from backend/login/admin.py rename to backend/accounts/admin.py index 566991b1a..57d6a619f 100644 --- a/backend/login/admin.py +++ b/backend/accounts/admin.py @@ -1,7 +1,5 @@ -from django import forms from django.contrib import admin from django.contrib.auth.forms import UserChangeForm, UserCreationForm -from django.db import models from .models import OsmUser diff --git a/backend/accounts/api_schemas.py b/backend/accounts/api_schemas.py new file mode 100644 index 000000000..25ebf2029 --- /dev/null +++ b/backend/accounts/api_schemas.py @@ -0,0 +1,42 @@ +"""Response shapes for the accounts/auth views. + +Plain APIViews don't expose a serializer_class drf-spectacular can introspect, +so each method is annotated with @extend_schema(responses=). +""" + +from rest_framework import serializers + + +class MessageResponse(serializers.Serializer): + message = serializers.CharField() + + +class ErrorResponse(serializers.Serializer): + error = serializers.CharField() + + +class _HankoUserPayload(serializers.Serializer): + id = serializers.CharField() + email = serializers.EmailField() + + +class _OsmUserPayload(serializers.Serializer): + osm_id = serializers.IntegerField() + username = serializers.CharField() + is_real_osm = serializers.BooleanField() + + +class AuthStatusResponse(serializers.Serializer): + auth_provider = serializers.ChoiceField(choices=["dev", "hanko"]) + authenticated = serializers.BooleanField() + needs_onboarding = serializers.BooleanField(required=False) + hanko_authenticated = serializers.BooleanField(required=False) + user = _OsmUserPayload(required=False) + hanko_user = _HankoUserPayload(required=False) + + +class EmailVerifyQueryResponse(serializers.Serializer): + """Body of `GET /me/verify-email/?uid=&token=`.""" + + message = serializers.CharField(required=False) + error = serializers.CharField(required=False) diff --git a/backend/accounts/apps.py b/backend/accounts/apps.py new file mode 100644 index 000000000..4ae1f93a4 --- /dev/null +++ b/backend/accounts/apps.py @@ -0,0 +1,9 @@ +from django.apps import AppConfig + + +class AccountsConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "accounts" + + def ready(self) -> None: + from . import schema # noqa: F401 # registers OpenAPI auth extensions diff --git a/backend/accounts/authentication.py b/backend/accounts/authentication.py new file mode 100644 index 000000000..1b1f5e1f5 --- /dev/null +++ b/backend/accounts/authentication.py @@ -0,0 +1,102 @@ +import logging +import secrets + +from django.conf import settings +from rest_framework import authentication, exceptions + +from config.settings import AuthProvider + +from .models import OsmUser + +logger = logging.getLogger(__name__) + + +class HankoAuthentication(authentication.BaseAuthentication): + """Hanko SSO authentication using user mappings.""" + + def authenticate(self, request): + from hotosm_auth_django import get_mapped_user_id + + if not hasattr(request, "hotosm"): + raise exceptions.AuthenticationFailed("HankoAuthMiddleware not configured") + + hanko_user = request.hotosm.user + + if not hanko_user: + logger.debug("No Hanko user in request") + return (None, None) + + mapped_osm_id = get_mapped_user_id(hanko_user, app_name="fair") + + if mapped_osm_id is not None: + try: + osm_id = int(mapped_osm_id) + user = OsmUser.objects.get(osm_id=osm_id) + logger.debug( + f"Authenticated via mapping: Hanko={hanko_user.email}, osm_id={osm_id}" + ) + return (user, None) + except (OsmUser.DoesNotExist, ValueError) as e: + logger.warning( + f"Mapping exists but user not found: osm_id={mapped_osm_id}, error={e}" + ) + # Fall through to onboarding. + + request.needs_onboarding = True + request.hanko_user_for_onboarding = hanko_user + logger.debug(f"Hanko user {hanko_user.email} needs onboarding (no mapping)") + return (None, None) + + +_DEV_USER_OSM_ID = 1 +_DEV_USER_USERNAME = "dev-user" +_DEV_USER_CACHE: OsmUser | None = None + + +class DevAuthentication(authentication.BaseAuthentication): + """Local-development authentication via a static `FAIR_DEV_TOKEN`. + + Active only when AUTH_PROVIDER=dev. Reads `Authorization: Bearer ` and + constant-time compares against `FAIR_DEV_TOKEN`. Same header contract as the + Hanko provider, so dev and prod clients are identical. On match, returns a + single seeded `OsmUser(osm_id=1, username='dev-user')` (created on first hit). + + Never enable in prod: anyone with the token has full dev-user access. + """ + + keyword = "Bearer" + + def authenticate(self, request): + global _DEV_USER_CACHE + configured = getattr(settings, "FAIR_DEV_TOKEN", "") or "" + if not configured: + raise exceptions.AuthenticationFailed( + "AUTH_PROVIDER=dev requires FAIR_DEV_TOKEN to be set" + ) + + header = request.META.get("HTTP_AUTHORIZATION", "") + if not header.startswith(f"{self.keyword} "): + return None + + provided = header[len(self.keyword) + 1 :] + if not secrets.compare_digest(provided, configured): + raise exceptions.AuthenticationFailed("Invalid FAIR_DEV_TOKEN") + + if _DEV_USER_CACHE is None: + _DEV_USER_CACHE, _ = OsmUser.objects.get_or_create( + osm_id=_DEV_USER_OSM_ID, + defaults={"username": _DEV_USER_USERNAME}, + ) + return (_DEV_USER_CACHE, None) + + def authenticate_header(self, request): + return self.keyword + + +# Select authentication class based on AUTH_PROVIDER +if settings.AUTH_PROVIDER == AuthProvider.DEV: + logger.info("Using DEV authentication (local-development only)") + OsmAuthentication = DevAuthentication +else: + logger.info("Using Hanko SSO authentication") + OsmAuthentication = HankoAuthentication diff --git a/backend/login/hanko_helpers.py b/backend/accounts/hanko_helpers.py similarity index 70% rename from backend/login/hanko_helpers.py rename to backend/accounts/hanko_helpers.py index d5236e1e1..a59620991 100644 --- a/backend/login/hanko_helpers.py +++ b/backend/accounts/hanko_helpers.py @@ -4,7 +4,7 @@ Handles user mapping between Hanko IDs and fAIr's osm_id based users. """ -from typing import Optional +import hashlib import logging from .models import OsmUser @@ -13,12 +13,16 @@ def generate_synthetic_osm_id(hanko_id: str) -> int: - """Generate a negative osm_id for users without OSM account.""" - # Negative to distinguish from real OSM IDs, limited to 9 digits for JS safety - synthetic_id = -(abs(hash(hanko_id)) % 10**9) - if synthetic_id == 0: - synthetic_id = -1 - return synthetic_id + """Generate a negative osm_id for users without OSM account. + + Deterministic across processes: Python's built-in `hash()` is randomized + per interpreter (PYTHONHASHSEED), so re-onboarding the same Hanko user + after a worker restart would produce a different id and a duplicate row. + blake2b gives us a stable digest. Negative to distinguish from real OSM + ids, capped at 9 digits for JavaScript safe-integer range. + """ + digest = hashlib.blake2b(hanko_id.encode(), digest_size=8).digest() + return -((int.from_bytes(digest, "big") % 10**9) or 1) def is_real_osm_user(osm_id: int) -> bool: @@ -26,7 +30,7 @@ def is_real_osm_user(osm_id: int) -> bool: return osm_id > 0 -def find_legacy_user_by_osm_id(osm_id: int) -> Optional[OsmUser]: +def find_legacy_user_by_osm_id(osm_id: int) -> OsmUser | None: """Find existing user by osm_id, or None if not found.""" try: return OsmUser.objects.get(osm_id=osm_id) @@ -37,8 +41,8 @@ def find_legacy_user_by_osm_id(osm_id: int) -> Optional[OsmUser]: def create_osm_user( osm_id: int, username: str, - img_url: Optional[str] = None, - email: Optional[str] = None, + img_url: str | None = None, + email: str | None = None, email_verified: bool = False, ) -> OsmUser: """Create OsmUser or return existing one. Handles username conflicts.""" @@ -73,11 +77,13 @@ class HankoUserFilterMixin: def get_queryset(self): queryset = super().get_queryset() - mine_param = self.request.query_params.get('mine', '').lower() - if mine_param == 'true': - if (hasattr(self.request, 'user') + mine_param = self.request.query_params.get("mine", "").lower() + if mine_param == "true": + if ( + hasattr(self.request, "user") and self.request.user - and self.request.user.is_authenticated): + and self.request.user.is_authenticated + ): queryset = queryset.filter(user=self.request.user) logger.debug(f"Filtered by user {self.request.user.osm_id} (mine=true)") else: diff --git a/backend/login/migrations/0001_initial.py b/backend/accounts/migrations/0001_initial.py similarity index 82% rename from backend/login/migrations/0001_initial.py rename to backend/accounts/migrations/0001_initial.py index 97dca8d9b..f7e4d4d47 100644 --- a/backend/login/migrations/0001_initial.py +++ b/backend/accounts/migrations/0001_initial.py @@ -1,9 +1,11 @@ -# Generated by Django 4.1.4 on 2024-05-30 15:20 +# Generated by Django 6.0.4 on 2026-05-04 15:39 +import accounts.models import django.contrib.auth.models import django.contrib.auth.validators -from django.db import migrations, models +import django.contrib.postgres.fields import django.utils.timezone +from django.db import migrations, models class Migration(migrations.Migration): @@ -31,6 +33,10 @@ class Migration(migrations.Migration): ('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')), ('osm_id', models.BigIntegerField(unique=True)), ('img_url', models.URLField(blank=True, max_length=1000, null=True)), + ('notifications_delivery_methods', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(choices=[('email', 'Email'), ('web', 'Web')], max_length=10), blank=True, default=accounts.models._default_delivery_methods)), + ('newsletter_subscription', models.BooleanField(default=False)), + ('account_deletion_requested', models.BooleanField(default=False)), + ('email_verified', models.BooleanField(default=False)), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.permission', verbose_name='user permissions')), ], diff --git a/backend/core/migrations/__init__.py b/backend/accounts/migrations/__init__.py similarity index 100% rename from backend/core/migrations/__init__.py rename to backend/accounts/migrations/__init__.py diff --git a/backend/login/models.py b/backend/accounts/models.py similarity index 88% rename from backend/login/models.py rename to backend/accounts/models.py index 655170e1e..8449357cf 100644 --- a/backend/login/models.py +++ b/backend/accounts/models.py @@ -3,6 +3,10 @@ from django.db import models +def _default_delivery_methods() -> list[str]: + return ["web"] + + class OsmUser(AbstractUser): NOTIFICATION_METHOD_CHOICES = [ ("email", "Email"), @@ -18,7 +22,7 @@ class Meta: notifications_delivery_methods = ArrayField( models.CharField(max_length=10, choices=NOTIFICATION_METHOD_CHOICES), - default=["web"], + default=_default_delivery_methods, blank=True, ) newsletter_subscription = models.BooleanField(default=False) diff --git a/backend/accounts/permissions.py b/backend/accounts/permissions.py new file mode 100644 index 000000000..977e97d77 --- /dev/null +++ b/backend/accounts/permissions.py @@ -0,0 +1,32 @@ +from rest_framework import permissions + + +def _is_admin(user) -> bool: + return bool(user and user.is_authenticated and (user.is_staff or user.is_superuser)) + + +class IsAdmin(permissions.BasePermission): + """Authenticated staff/superuser only.""" + + def has_permission(self, request, view) -> bool: + return _is_admin(request.user) + + +class IsOwnerOrAdmin(permissions.BasePermission): + """Object-level: only the owner (`obj.user`) or an admin may act.""" + + def has_object_permission(self, request, view, obj) -> bool: + if _is_admin(request.user): + return True + return getattr(obj, "user", None) == request.user + + +class IsOwnerOrAdminOrReadOnly(permissions.BasePermission): + """Object-level: anyone reads (SAFE_METHODS); only owner/admin writes.""" + + def has_object_permission(self, request, view, obj) -> bool: + if request.method in permissions.SAFE_METHODS: + return True + if _is_admin(request.user): + return True + return getattr(obj, "user", None) == request.user diff --git a/backend/accounts/schema.py b/backend/accounts/schema.py new file mode 100644 index 000000000..064ae3617 --- /dev/null +++ b/backend/accounts/schema.py @@ -0,0 +1,31 @@ +"""drf-spectacular extensions binding our custom auth classes to OpenAPI. + +Without these, every view warns "could not resolve authenticator" on schema +generation. Both DevAuthentication and HankoAuthentication share the same +public contract: `Authorization: Bearer `. +""" + +from drf_spectacular.extensions import OpenApiAuthenticationExtension + + +class _OsmAuthScheme(OpenApiAuthenticationExtension): + name = "OsmAuth" + + def get_security_definition(self, auto_schema): + return { + "type": "http", + "scheme": "bearer", + "bearerFormat": "JWT", + "description": ( + "Hanko-issued JWT in prod (AUTH_PROVIDER=hanko), " + "or FAIR_DEV_TOKEN locally (AUTH_PROVIDER=dev)." + ), + } + + +class DevAuthScheme(_OsmAuthScheme): + target_class = "accounts.authentication.DevAuthentication" + + +class HankoAuthScheme(_OsmAuthScheme): + target_class = "accounts.authentication.HankoAuthentication" diff --git a/backend/accounts/tests.py b/backend/accounts/tests.py new file mode 100644 index 000000000..a39b155ac --- /dev/null +++ b/backend/accounts/tests.py @@ -0,0 +1 @@ +# Create your tests here. diff --git a/backend/login/tokens.py b/backend/accounts/tokens.py similarity index 77% rename from backend/login/tokens.py rename to backend/accounts/tokens.py index bb00eb804..ca889d706 100644 --- a/backend/login/tokens.py +++ b/backend/accounts/tokens.py @@ -4,9 +4,7 @@ class EmailVerificationTokenGenerator(PasswordResetTokenGenerator): def _make_hash_value(self, user, timestamp): - server_secret = getattr( - settings, "EMAIL_VERIFICATION_SECRET", settings.SECRET_KEY - ) + server_secret = getattr(settings, "EMAIL_VERIFICATION_SECRET", settings.SECRET_KEY) return f"{user.pk}{user.osm_id}{timestamp}{user.email}{user.email_verified}{server_secret}" diff --git a/backend/login/urls.py b/backend/accounts/urls.py similarity index 83% rename from backend/login/urls.py rename to backend/accounts/urls.py index 56b095ddd..8f01131f1 100644 --- a/backend/login/urls.py +++ b/backend/accounts/urls.py @@ -1,14 +1,12 @@ from django.conf import settings from django.urls import path -from fairproject.settings import AuthProvider +from config.settings import AuthProvider # now import the views.py file into this code from . import views urlpatterns = [ - path("login/", views.login.as_view()), - path("callback/", views.callback.as_view()), path("me/", views.GetMyData.as_view()), path( "me/request-email-verification/", diff --git a/backend/login/views.py b/backend/accounts/views.py similarity index 58% rename from backend/login/views.py rename to backend/accounts/views.py index 482f91955..fcdfccf7b 100644 --- a/backend/login/views.py +++ b/backend/accounts/views.py @@ -1,81 +1,46 @@ -import json - -from core.exceptions import AuthenticationException, LoginException, ValidationException -from core.serializers import UserStatsSerializer from django.conf import settings -from fairproject.settings import AuthProvider from django.core.mail import send_mail -from django.http import JsonResponse, HttpResponseRedirect +from django.http import HttpResponseRedirect from django.utils import timezone from django.utils.encoding import force_bytes from django.utils.http import urlsafe_base64_decode, urlsafe_base64_encode -from osm_login_python.core import Auth +from drf_spectacular.utils import OpenApiParameter, extend_schema from rest_framework import status +from rest_framework.permissions import AllowAny, IsAuthenticated from rest_framework.response import Response from rest_framework.views import APIView -from login.authentication import OsmAuthentication -from login.permissions import IsOsmAuthenticated +from accounts.authentication import OsmAuthentication +from config.settings import AuthProvider +from notifications.serializers import UserStatsSerializer +from shared.exceptions import AuthenticationException, LoginException -from .models import OsmUser -from .tokens import email_verification_token +from .api_schemas import ( + AuthStatusResponse, + EmailVerifyQueryResponse, + ErrorResponse, + MessageResponse, +) from .hanko_helpers import ( - generate_synthetic_osm_id, - find_legacy_user_by_osm_id, create_osm_user, + find_legacy_user_by_osm_id, + generate_synthetic_osm_id, is_real_osm_user, ) +from .models import OsmUser +from .tokens import email_verification_token -def get_osm_auth() -> Auth: - return Auth( - osm_url=settings.OSM_URL, - client_id=settings.OSM_CLIENT_ID, - client_secret=settings.OSM_CLIENT_SECRET, - secret_key=settings.OSM_SECRET_KEY, - login_redirect_uri=settings.OSM_LOGIN_REDIRECT_URI, - scope=settings.OSM_SCOPE, - ) - - -osm_auth = get_osm_auth() - - -class login(APIView): - def get(self, request, format=None): - """Generates login url for OSM Login - - Args: - request (get): _description_ - - Returns: - json: login_url - """ - login_url = osm_auth.login() - return JsonResponse(login_url) - - -class callback(APIView): - def get(self, request, format=None): # pragma: no cover - """Callback method redirected from osm callback method - - Args: - request (_type_): contains code and state as parametr redirected from osm - - Returns: - json: access_token - """ - # Generating token through osm_auth library method - uri = request.build_absolute_uri() - token = osm_auth.callback(uri) - token["access_token"] = token.pop("user_data") - return JsonResponse(token) - - +@extend_schema(tags=["accounts"]) class GetMyData(APIView): authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] + permission_classes = [IsAuthenticated] + serializer_class = UserStatsSerializer + @extend_schema( + description="Return the caller's profile and update last_login.", + responses=UserStatsSerializer, + ) def get(self, request, format=None): user = request.user user.last_login = timezone.now() @@ -83,6 +48,11 @@ def get(self, request, format=None): serialized_field = UserStatsSerializer(instance=user) return Response(serialized_field.data, status=status.HTTP_201_CREATED) + @extend_schema( + description="Extend the caller's profile (email, deletion-request, prefs).", + request=UserStatsSerializer, + responses=UserStatsSerializer, + ) def patch(self, request, format=None): user = request.user @@ -104,7 +74,10 @@ def patch(self, request, format=None): ): send_mail( subject="fAIr : Account deletion requested", - message=f"User {user.username} (OSM ID: {user.osm_id}) has requested account deletion.", + message=( + f"User {user.username} (OSM ID: {user.osm_id}) " + f"has requested account deletion." + ), from_email=settings.DEFAULT_FROM_EMAIL, recipient_list=["fair@hotosm.org"], ) @@ -113,10 +86,17 @@ def patch(self, request, format=None): return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) +@extend_schema(tags=["accounts"]) class RequestEmailVerification(APIView): authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] + permission_classes = [IsAuthenticated] + serializer_class = MessageResponse + @extend_schema( + description="Send the caller a verification email; 400 if already verified or no email.", + request=None, + responses={200: MessageResponse, 400: MessageResponse}, + ) def post(self, request, format=None): user = request.user if user.email_verified: @@ -135,7 +115,11 @@ def post(self, request, format=None): send_mail( subject="fAIr : Verify your email", - message=f"Hi , {user.username} \n Click this link to verify your email: {verify_link}. \n Regards, fAIr dev team", + message=( + f"Hi , {user.username} \n" + f"Click this link to verify your email: {verify_link}. \n" + f"Regards, fAIr dev team" + ), from_email=settings.DEFAULT_FROM_EMAIL, recipient_list=[user.email], ) @@ -143,10 +127,19 @@ def post(self, request, format=None): return Response({"message": "Verification email sent."}, status=200) +@extend_schema(tags=["accounts"]) class VerifyEmail(APIView): - # authentication_classes = [OsmAuthentication] - # permission_classes = [IsOsmAuthenticated] - + permission_classes = [AllowAny] + serializer_class = EmailVerifyQueryResponse + + @extend_schema( + description="Validate an email-verification token and mark the user verified.", + parameters=[ + OpenApiParameter("uid", str, OpenApiParameter.QUERY, required=True), + OpenApiParameter("token", str, OpenApiParameter.QUERY, required=True), + ], + responses={200: MessageResponse, 201: MessageResponse, 400: ErrorResponse}, + ) def get(self, request, format=None): uidb64 = request.query_params.get("uid") token = request.query_params.get("token") @@ -167,33 +160,41 @@ def get(self, request, format=None): return Response({"message": "Email already verified."}, status=201) user.email_verified = True - user.save() + user.save(update_fields=["email_verified"]) return Response({"message": "Email successfully verified."}, status=200) else: return Response({"error": "Invalid or expired token."}, status=400) +@extend_schema(tags=["accounts"]) class OnboardingCallback(APIView): - """Onboarding callback from login service. Creates user mapping for Hanko auth.""" + """Onboarding callback from accounts service. Creates user mapping for Hanko auth.""" + + permission_classes = [AllowAny] + serializer_class = ErrorResponse + @extend_schema( + parameters=[OpenApiParameter("new_user", str, OpenApiParameter.QUERY)], + responses={302: None, 400: ErrorResponse}, + ) def get(self, request): from hotosm_auth_django import create_user_mapping if settings.AUTH_PROVIDER != AuthProvider.HANKO: return Response( {"error": "Onboarding only available with Hanko auth"}, - status=status.HTTP_400_BAD_REQUEST + status=status.HTTP_400_BAD_REQUEST, ) - if not hasattr(request, 'hotosm') or not request.hotosm.user: + if not hasattr(request, "hotosm") or not request.hotosm.user: raise AuthenticationException("Not authenticated with Hanko") hanko_user = request.hotosm.user - is_new_user = request.query_params.get('new_user') == 'true' + is_new_user = request.query_params.get("new_user") == "true" if is_new_user: osm_id = generate_synthetic_osm_id(hanko_user.id) - username = hanko_user.email.split('@')[0] + username = hanko_user.email.split("@")[0] create_osm_user( osm_id=osm_id, @@ -223,17 +224,23 @@ def get(self, request): if not existing_user: from urllib.parse import urlencode + login_url = settings.LOGIN_URL frontend_url = settings.FRONTEND_URL - error_msg = f"No existing account found for '{osm_connection.osm_username}'. Please select 'No, I'm new' to create a new account." - params = urlencode({ - 'onboarding': 'fair', - 'return_to': frontend_url, - 'error': error_msg, - }) + error_msg = ( + f"No existing account found for " + f"'{osm_connection.osm_username}'. " + f"Please select 'No, I'm new' to create a new account." + ) + params = urlencode( + { + "onboarding": "fair", + "return_to": frontend_url, + "error": error_msg, + } + ) return HttpResponseRedirect(f"{login_url}/app?{params}") - # Update email with Hanko's email (already verified by Hanko) existing_user.email = hanko_user.email existing_user.email_verified = True existing_user.save(update_fields=["email", "email_verified"]) @@ -248,57 +255,65 @@ def get(self, request): return HttpResponseRedirect(frontend_url) +@extend_schema(tags=["accounts"]) class AuthStatus(APIView): - """Check authentication status for Hanko users.""" + """Check authentication status.""" + permission_classes = [AllowAny] + serializer_class = AuthStatusResponse + + @extend_schema(responses=AuthStatusResponse) def get(self, request): - from hotosm_auth_django import get_mapped_user_id + if settings.AUTH_PROVIDER == AuthProvider.DEV: + authed = bool(getattr(request, "user", None) and request.user.is_authenticated) + return Response({"auth_provider": "dev", "authenticated": authed}) - if settings.AUTH_PROVIDER != AuthProvider.HANKO: - return Response({ - "auth_provider": "legacy", - "authenticated": request.user.is_authenticated if hasattr(request, 'user') else False, - }) + from hotosm_auth_django import get_mapped_user_id - if not hasattr(request, 'hotosm') or not request.hotosm.user: - return Response({ - "auth_provider": "hanko", - "authenticated": False, - "hanko_authenticated": False, - }) + if not hasattr(request, "hotosm") or not request.hotosm.user: + return Response( + { + "auth_provider": "hanko", + "authenticated": False, + "hanko_authenticated": False, + } + ) hanko_user = request.hotosm.user - mapped_osm_id = get_mapped_user_id(hanko_user, app_name="fair") if mapped_osm_id is not None: try: osm_id = int(mapped_osm_id) user = OsmUser.objects.get(osm_id=osm_id) - return Response({ - "auth_provider": "hanko", - "authenticated": True, - "needs_onboarding": False, - "user": { - "osm_id": osm_id, - "username": user.username, - "is_real_osm": is_real_osm_user(osm_id), - }, - "hanko_user": { - "id": hanko_user.id, - "email": hanko_user.email, + return Response( + { + "auth_provider": "hanko", + "authenticated": True, + "needs_onboarding": False, + "user": { + "osm_id": osm_id, + "username": user.username, + "is_real_osm": is_real_osm_user(osm_id), + }, + "hanko_user": { + "id": hanko_user.id, + "email": hanko_user.email, + }, } - }) + ) except OsmUser.DoesNotExist: pass - return Response({ - "auth_provider": "hanko", - "authenticated": False, - "needs_onboarding": True, - "hanko_authenticated": True, - "hanko_user": { - "id": hanko_user.id, - "email": hanko_user.email, + return Response( + { + "auth_provider": "hanko", + "authenticated": False, + "needs_onboarding": True, + "hanko_authenticated": True, + "hanko_user": { + "id": hanko_user.id, + "email": hanko_user.email, + }, } - }) + ) diff --git a/backend/api-entrypoint.sh b/backend/api-entrypoint.sh deleted file mode 100644 index ba7ab36b5..000000000 --- a/backend/api-entrypoint.sh +++ /dev/null @@ -1,7 +0,0 @@ -#!/bin/bash -set -e -echo "Applying database migrations..." -python manage.py makemigrations login core -python manage.py migrate -echo "Starting Django server..." -exec "$@" diff --git a/backend/login/__init__.py b/backend/config/__init__.py similarity index 100% rename from backend/login/__init__.py rename to backend/config/__init__.py diff --git a/backend/config/asgi.py b/backend/config/asgi.py new file mode 100644 index 000000000..856079b2e --- /dev/null +++ b/backend/config/asgi.py @@ -0,0 +1,7 @@ +import os + +from django.core.asgi import get_asgi_application + +os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings") + +application = get_asgi_application() diff --git a/backend/config/env.py b/backend/config/env.py new file mode 100644 index 000000000..9464cc33e --- /dev/null +++ b/backend/config/env.py @@ -0,0 +1,211 @@ +from enum import StrEnum +from pathlib import Path +from typing import Annotated, Self + +from pydantic import ( + AnyHttpUrl, + Field, + SecretStr, + field_validator, + model_validator, +) +from pydantic_settings import BaseSettings, NoDecode, SettingsConfigDict + + +class AuthProvider(StrEnum): + HANKO = "hanko" + DEV = "dev" + + +BASE_DIR = Path(__file__).resolve().parent.parent + + +class Settings(BaseSettings): + model_config = SettingsConfigDict( + env_file=BASE_DIR / ".env", + env_file_encoding="utf-8", + case_sensitive=False, + extra="ignore", + env_ignore_empty=True, + ) + + # Core Django + debug: bool = False + secret_key: SecretStr + + # Database + database_url: str + database_ssl_mode: str | None = None + db_pool_min_size: int = 4 + db_pool_max_size: int = 20 + db_pool_timeout: float = 30.0 + + @field_validator("database_url") + @classmethod + def _check_database_url(cls, value: str) -> str: + scheme = value.split("://", 1)[0] + if scheme not in {"postgres", "postgresql", "postgis"}: + raise ValueError( + f"DATABASE_URL must use postgres/postgresql/postgis scheme, got '{scheme}'" + ) + return value + + # HTTP / hosts / CORS + allowed_hosts: Annotated[list[str], NoDecode] = Field(default_factory=list) + csrf_trusted_origins: Annotated[list[str], NoDecode] = Field(default_factory=list) + cors_allowed_origins: Annotated[list[str], NoDecode] = Field(default_factory=list) + secure_ssl_redirect: bool = True + + # Frontend / API URLs + frontend_url: AnyHttpUrl + api_base_url: AnyHttpUrl + hostname: str = "127.0.0.1" + + # Authentication + auth_provider: AuthProvider = AuthProvider.HANKO + fair_dev_token: SecretStr | None = None + # Hanko's OSM-connection callback still posts to this URI; + osm_login_redirect_uri: AnyHttpUrl | None = None + hanko_api_url: AnyHttpUrl | None = None + cookie_secret: SecretStr | None = None + cookie_domain: str | None = None + cookie_secure: bool | None = None + jwt_audience: str | None = None + login_url: AnyHttpUrl = AnyHttpUrl("https://login.hotosm.org") + login_internal_api_key: SecretStr | None = None + login_backend_url: AnyHttpUrl | None = None + + # fair-py-ops (ZenML + STAC) + # Required at call sites in P1+ (shared/integrations/zenml.py raises loud + # when missing). Optional at module import so legacy code paths + CI boot. + fair_zenml_store_url: AnyHttpUrl | None = None + fair_zenml_store_api_key: SecretStr | None = None + fair_stac_api_url: AnyHttpUrl | None = None + fair_stac_api_key: SecretStr | None = None + + # Object storage (S3 / MinIO) + bucket_name: str | None = None + parent_bucket_folder: str = "dev" + aws_region: str = "us-east-1" + aws_access_key_id: SecretStr | None = None + aws_secret_access_key: SecretStr | None = None + aws_endpoint_url: AnyHttpUrl | None = None + presigned_url_expiry: int = 900 + + # DRF throttles + user_rate_limit: str = "1000/h" + anon_rate_limit: str = "100/h" + training_rate_limit: str = "10/h" + prediction_rate_limit: str = "50/h" + + # OSM raw-data API + raw_data_api_url: AnyHttpUrl = AnyHttpUrl("https://api-prod.raw-data.hotosm.org/v1") + + # MapSwipe (off by default; required when enable_mapswipe=true) + enable_mapswipe: bool = False + mapswipe_backend_url: AnyHttpUrl | None = None + mapswipe_manager_url: AnyHttpUrl | None = None + mapswipe_web_url: AnyHttpUrl | None = None + mapswipe_csrftoken_key: str | None = None + mapswipe_fb_auth_url: AnyHttpUrl | None = None + mapswipe_fb_username: str | None = None + mapswipe_fb_password: SecretStr | None = None + mapswipe_tutorial_id: str = "37" + mapswipe_organization_id: int = 4 + mapswipe_verification_number: int = 3 + mapswipe_poll_interval: int = 10 + mapswipe_poll_timeout: int = 600 + + # Email (SMTP) + email_host: str = "smtp.gmail.com" + email_port: int = 587 + email_use_tls: bool = True + email_use_ssl: bool = False + email_host_user: str = "" + email_host_password: SecretStr = SecretStr("") + default_from_email: str = "no-reply@fair.hotosm.org" + + # Operational + log_path: Path = BASE_DIR / "logs" + default_pagination_size: int = 50 + session_cookie_age: int = 3600 + cache_timeout_minutes: int = 5 + log_line_stream_truncate_value: int = 10 + + # Sentry (off by default; set enable_sentry=true with a sentry_dsn to turn on) + enable_sentry: bool = False + sentry_dsn: SecretStr | None = None + + # Tunable polling / caching / processing knobs + health_probe_timeout: float = 2.0 + prediction_sync_interval: int = 15 + training_sync_interval: int = 30 + stac_cache_ttl: int = 300 + stac_bulk_fetch_workers: int = 16 + pmtiles_min_zoom: int = 10 + pmtiles_max_zoom: int = 20 + + @field_validator( + "allowed_hosts", + "csrf_trusted_origins", + "cors_allowed_origins", + mode="before", + ) + @classmethod + def _split_csv(cls, value: str | list[str]) -> list[str]: + if isinstance(value, list): + return value + return [item.strip() for item in value.split(",") if item.strip()] + + @model_validator(mode="after") + def _check_auth_provider_fields(self) -> Self: + if self.auth_provider is AuthProvider.HANKO: + missing = [ + name + for name, value in ( + ("hanko_api_url", self.hanko_api_url), + ("cookie_secret", self.cookie_secret), + ) + if not value + ] + if missing: + raise ValueError(f"AUTH_PROVIDER=hanko requires: {', '.join(missing)}") + if self.auth_provider is AuthProvider.DEV and not self.fair_dev_token: + raise ValueError("AUTH_PROVIDER=dev requires: fair_dev_token") + return self + + @model_validator(mode="after") + def _check_mapswipe_fields(self) -> Self: + if not self.enable_mapswipe: + return self + missing = [ + name + for name, value in ( + ("mapswipe_csrftoken_key", self.mapswipe_csrftoken_key), + ("mapswipe_fb_auth_url", self.mapswipe_fb_auth_url), + ("mapswipe_fb_username", self.mapswipe_fb_username), + ("mapswipe_fb_password", self.mapswipe_fb_password), + ) + if not value + ] + if missing: + raise ValueError(f"ENABLE_MAPSWIPE=true requires: {', '.join(missing)}") + return self + + @model_validator(mode="after") + def _check_sentry_fields(self) -> Self: + if self.enable_sentry and not self.sentry_dsn: + raise ValueError("ENABLE_SENTRY=true requires: sentry_dsn") + return self + + @model_validator(mode="after") + def _reject_weak_secret_in_prod(self) -> Self: + if self.debug: + return self + secret = self.secret_key.get_secret_value() + if len(secret) < 32 or "dev" in secret or "unsafe" in secret: + raise ValueError("SECRET_KEY is too weak for production") + return self + + +settings = Settings() # raises on missing required env vars diff --git a/backend/config/settings.py b/backend/config/settings.py new file mode 100644 index 000000000..f6f22e596 --- /dev/null +++ b/backend/config/settings.py @@ -0,0 +1,418 @@ +import os +from typing import Any +from urllib.parse import urlparse + +import boto3 +import dj_database_url +from corsheaders.defaults import default_headers +from pydantic import SecretStr + +from config.env import AuthProvider, settings + + +def _secret(value: SecretStr | None) -> str | None: + return value.get_secret_value() if value else None + + +def _str(value: Any | None) -> str | None: + return str(value) if value else None + + +BASE_DIR = settings.model_config["env_file"].parent # type: ignore[index] + +DEBUG = settings.debug +SECRET_KEY = settings.secret_key.get_secret_value() + +if settings.enable_sentry: + import sentry_sdk + + sentry_sdk.init(dsn=settings.sentry_dsn.get_secret_value()) + +LOG_PATH = str(settings.log_path) +os.makedirs(LOG_PATH, exist_ok=True) + +FRONTEND_URL = str(settings.frontend_url) +API_BASE_URL = str(settings.api_base_url) +HOSTNAME = settings.hostname + +RAW_DATA_API_URL = str(settings.raw_data_api_url) + +AUTH_PROVIDER = settings.auth_provider.value + +FAIR_DEV_TOKEN = _secret(settings.fair_dev_token) + +if settings.auth_provider is AuthProvider.HANKO: + HANKO_API_URL = _str(settings.hanko_api_url) + COOKIE_SECRET = _secret(settings.cookie_secret) + COOKIE_DOMAIN = settings.cookie_domain + COOKIE_SECURE = settings.cookie_secure if settings.cookie_secure is not None else not DEBUG + JWT_AUDIENCE = settings.jwt_audience + LOGIN_URL = str(settings.login_url) + OSM_REDIRECT_URI = _str(settings.osm_login_redirect_uri) + LOGIN_INTERNAL_API_KEY = _secret(settings.login_internal_api_key) or "" + LOGIN_BACKEND_URL = _str(settings.login_backend_url) or LOGIN_URL + + if LOGIN_INTERNAL_API_KEY: + from hotosm_auth import remote_pat_resolver + from hotosm_auth_django import init_auth_django + + init_auth_django( + app_name="fair", + pat_resolver=remote_pat_resolver( + login_url=LOGIN_BACKEND_URL, + internal_key=LOGIN_INTERNAL_API_KEY, + ), + ) + +FAIR_ZENML_STORE_URL = _str(settings.fair_zenml_store_url) +FAIR_ZENML_STORE_API_KEY = _secret(settings.fair_zenml_store_api_key) +FAIR_STAC_API_URL = _str(settings.fair_stac_api_url) +FAIR_STAC_API_KEY = _secret(settings.fair_stac_api_key) + +BUCKET_NAME = settings.bucket_name +PARENT_BUCKET_FOLDER = settings.parent_bucket_folder +AWS_REGION = settings.aws_region +AWS_ACCESS_KEY_ID = _secret(settings.aws_access_key_id) +AWS_SECRET_ACCESS_KEY = _secret(settings.aws_secret_access_key) +AWS_ENDPOINT_URL = _str(settings.aws_endpoint_url) +PRESIGNED_URL_EXPIRY = settings.presigned_url_expiry + +if AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY: + S3_CLIENT = boto3.client( + "s3", + aws_access_key_id=AWS_ACCESS_KEY_ID, + aws_secret_access_key=AWS_SECRET_ACCESS_KEY, + region_name=AWS_REGION, + endpoint_url=AWS_ENDPOINT_URL, + ) +else: + S3_CLIENT = boto3.client("s3", region_name=AWS_REGION, endpoint_url=AWS_ENDPOINT_URL) + +INSTALLED_APPS = [ + "django.contrib.admin", + "django.contrib.auth", + "django.contrib.postgres", + "django.contrib.contenttypes", + "django.contrib.sessions", + "django.contrib.messages", + "django.contrib.staticfiles", + "django.contrib.gis", + "django_tasks", + "django_tasks_db", + "rest_framework", + "rest_framework_gis", + "django_filters", + "corsheaders", + "drf_spectacular", + "accounts", + "datasets", + "modelregistry", + "trainings", + "predictions", + "feedback", + "notifications", + "stars", + "system", +] + +if settings.auth_provider is AuthProvider.HANKO: + INSTALLED_APPS.append("hotosm_auth_django") + +MIDDLEWARE = [ + "corsheaders.middleware.CorsMiddleware", + "django.middleware.security.SecurityMiddleware", + "django.contrib.sessions.middleware.SessionMiddleware", + "django.middleware.common.CommonMiddleware", + "django.middleware.csrf.CsrfViewMiddleware", + "django.contrib.auth.middleware.AuthenticationMiddleware", + "django.contrib.messages.middleware.MessageMiddleware", + "django.middleware.clickjacking.XFrameOptionsMiddleware", +] + +if settings.auth_provider is AuthProvider.HANKO: + MIDDLEWARE.insert( + MIDDLEWARE.index("django.contrib.auth.middleware.AuthenticationMiddleware"), + "hotosm_auth_django.HankoAuthMiddleware", + ) + +ROOT_URLCONF = "config.urls" +WSGI_APPLICATION = "config.wsgi.application" + +if DEBUG: + SECURE_SSL_REDIRECT = False + SECURE_HSTS_SECONDS = 0 + SECURE_HSTS_INCLUDE_SUBDOMAINS = False + SECURE_HSTS_PRELOAD = False + SESSION_COOKIE_SECURE = False + CSRF_COOKIE_SECURE = False + CSRF_TRUSTED_ORIGINS: list[str] = [] +else: + SECURE_SSL_REDIRECT = settings.secure_ssl_redirect + SECURE_HSTS_SECONDS = 31536000 + SECURE_HSTS_INCLUDE_SUBDOMAINS = True + SECURE_HSTS_PRELOAD = True + SESSION_COOKIE_SECURE = True + CSRF_COOKIE_SECURE = True + CSRF_TRUSTED_ORIGINS = settings.csrf_trusted_origins or settings.allowed_hosts + +SECURE_CONTENT_TYPE_NOSNIFF = True +SECURE_BROWSER_XSS_FILTER = True +X_FRAME_OPTIONS = "DENY" +SECURE_REFERRER_POLICY = "strict-origin-when-cross-origin" + +SESSION_COOKIE_HTTPONLY = True +SESSION_COOKIE_SAMESITE = "Lax" +SESSION_COOKIE_AGE = settings.session_cookie_age +CSRF_COOKIE_HTTPONLY = True +CSRF_COOKIE_SAMESITE = "Lax" + +DEFAULT_PAGINATION_SIZE = settings.default_pagination_size + +REST_FRAMEWORK = { + "DEFAULT_SCHEMA_CLASS": "drf_spectacular.openapi.AutoSchema", + "DEFAULT_FILTER_BACKENDS": ["django_filters.rest_framework.DjangoFilterBackend"], + "DEFAULT_AUTHENTICATION_CLASSES": [ + "accounts.authentication.OsmAuthentication", + ], + "DEFAULT_PAGINATION_CLASS": "rest_framework.pagination.LimitOffsetPagination", + "PAGE_SIZE": DEFAULT_PAGINATION_SIZE, + "EXCEPTION_HANDLER": "shared.exceptions.custom_exception_handler", + "DEFAULT_VERSIONING_CLASS": "rest_framework.versioning.NamespaceVersioning", + "DEFAULT_VERSION": "v1", + "ALLOWED_VERSIONS": ["v1"], + "DEFAULT_THROTTLE_CLASSES": [ + "rest_framework.throttling.UserRateThrottle", + "rest_framework.throttling.AnonRateThrottle", + ], + "DEFAULT_THROTTLE_RATES": { + "user": settings.user_rate_limit, + "anon": settings.anon_rate_limit, + "training_submit": settings.training_rate_limit, + "prediction_submit": settings.prediction_rate_limit, + }, +} + +TEMPLATES = [ + { + "BACKEND": "django.template.backends.django.DjangoTemplates", + "DIRS": [], + "APP_DIRS": True, + "OPTIONS": { + "context_processors": [ + "django.template.context_processors.debug", + "django.template.context_processors.request", + "django.contrib.auth.context_processors.auth", + "django.contrib.messages.context_processors.messages", + ], + "libraries": { + "staticfiles": "django.templatetags.static", + }, + }, + }, +] + +DATABASE_URL = str(settings.database_url) +DATABASES = { + "default": dj_database_url.config( + default=DATABASE_URL, + conn_max_age=0, + conn_health_checks=True, + ) +} + +database_url = urlparse(DATABASE_URL) +if database_url.scheme in ("postgres", "postgresql", "postgis"): + ssl_mode = settings.database_ssl_mode or ("disable" if DEBUG else "require") + DATABASES["default"]["OPTIONS"] = { + "sslmode": ssl_mode, + "pool": { + "min_size": settings.db_pool_min_size, + "max_size": settings.db_pool_max_size, + "timeout": settings.db_pool_timeout, + }, + **DATABASES["default"].get("OPTIONS", {}), + } + +AUTH_PASSWORD_VALIDATORS = [ + {"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator"}, + {"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator"}, + {"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator"}, + {"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator"}, +] + +LANGUAGE_CODE = "en-us" +TIME_ZONE = "UTC" +USE_I18N = True +USE_TZ = True + +STATIC_URL = "/api_static/" +MEDIA_URL = "/media/" +STATIC_ROOT = str(BASE_DIR / "api_static") +MEDIA_ROOT = str(BASE_DIR / "media") + +_logger_handlers: list[str] = ["console"] if DEBUG else ["console", "file"] +_log_handlers: dict[str, Any] = { + "console": { + "level": "DEBUG" if DEBUG else "INFO", + "class": "logging.StreamHandler", + "formatter": "simple", + }, +} +if not DEBUG: + _log_handlers["file"] = { + "level": "INFO", + "class": "logging.FileHandler", + "filename": os.path.join(LOG_PATH, "django.log"), + "formatter": "verbose", + } + +LOGGING: dict[str, Any] = { + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "verbose": {"format": "{levelname} {asctime} {module} {message}", "style": "{"}, + "simple": {"format": "{levelname} {message}", "style": "{"}, + }, + "handlers": _log_handlers, + "root": {"handlers": ["console"]}, + "loggers": { + "django": {"handlers": _logger_handlers, "level": "INFO", "propagate": False}, + "core": {"handlers": _logger_handlers, "level": "INFO", "propagate": False}, + }, +} + +if DEBUG: + os.environ["OAUTHLIB_INSECURE_TRANSPORT"] = "1" + +TASKS = { + "default": { + "BACKEND": "django_tasks_db.backend.DatabaseBackend", + }, +} + +CACHES = { + "default": { + "BACKEND": "django.core.cache.backends.locmem.LocMemCache", + "LOCATION": "fair-locmem", + }, +} + +CACHE_TIMEOUT_MINUTES = settings.cache_timeout_minutes +LOG_LINE_STREAM_TRUNCATE_VALUE = settings.log_line_stream_truncate_value + +HEALTH_PROBE_TIMEOUT = settings.health_probe_timeout +PREDICTION_SYNC_INTERVAL = settings.prediction_sync_interval +TRAINING_SYNC_INTERVAL = settings.training_sync_interval +STAC_CACHE_TTL = settings.stac_cache_ttl +STAC_BULK_FETCH_WORKERS = settings.stac_bulk_fetch_workers +PMTILES_MIN_ZOOM = settings.pmtiles_min_zoom +PMTILES_MAX_ZOOM = settings.pmtiles_max_zoom + +AUTH_USER_MODEL = "accounts.OsmUser" + +SPECTACULAR_SETTINGS = { + "TITLE": "fAIr API", + "DESCRIPTION": "AI-Assisted Mapping", + "VERSION": "2.0.0", + "SERVERS": [{"url": API_BASE_URL, "description": "Configured API base."}], + "CONTACT": {"name": "HOT Tech Team", "email": "sysadmin@hotosm.org"}, + "LICENSE": {"name": "AGPL-3.0", "url": "https://www.gnu.org/licenses/agpl-3.0.en.html"}, + "TERMS_OF_SERVICE": "https://www.hotosm.org/privacy", + "SERVE_INCLUDE_SCHEMA": False, + "TAGS": [ + {"name": "accounts", "description": "User auth, profile, email verification."}, + {"name": "datasets", "description": "Dataset records."}, + {"name": "aois", "description": "Areas of interest, drawn polygons."}, + {"name": "local-models", "description": "Backend-managed local (finetuned) models."}, + {"name": "trainings", "description": "Submit + monitor finetune runs."}, + {"name": "predictions", "description": "Submit, poll, publish, deliver predictions."}, + {"name": "public-predictions", "description": "Anonymous read of published predictions."}, + {"name": "feedback", "description": "Per-feature accept/reject feedback."}, + {"name": "banners", "description": "Site-wide announcement banners."}, + {"name": "notifications", "description": "Per-user notification feed."}, + {"name": "workspace", "description": "S3 listing + presigned URLs."}, + {"name": "stars", "description": "Anonymous-friendly star/unstar."}, + {"name": "system", "description": "Health + dependency probes."}, + ], + "SWAGGER_UI_SETTINGS": { + "deepLinking": True, + "persistAuthorization": True, + "filter": True, + "tagsSorter": "alpha", + "operationsSorter": "alpha", + }, + "COMPONENT_SPLIT_REQUEST": True, + "SCHEMA_PATH_PREFIX": "/api/v1", + "SCHEMA_PATH_PREFIX_TRIM": True, +} + +TEST_RUNNER = "tests.test_runners.NoDestroyTestRunner" + +if DEBUG: + EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend" +else: + EMAIL_BACKEND = "django.core.mail.backends.smtp.EmailBackend" + EMAIL_HOST = settings.email_host + EMAIL_PORT = settings.email_port + EMAIL_USE_TLS = settings.email_use_tls + EMAIL_USE_SSL = settings.email_use_ssl + EMAIL_HOST_USER = settings.email_host_user + EMAIL_HOST_PASSWORD = settings.email_host_password.get_secret_value() + DEFAULT_FROM_EMAIL = settings.default_from_email + + +def _extract_domain(url: str) -> str | None: + return urlparse(url).hostname + + +if DEBUG: + CORS_ALLOW_ALL_ORIGINS = True + CORS_ALLOW_CREDENTIALS = False +else: + CORS_ALLOW_ALL_ORIGINS = False + CORS_ALLOW_CREDENTIALS = True + CORS_ALLOWED_ORIGINS = list(settings.cors_allowed_origins) + frontend_origin = FRONTEND_URL.rstrip("/") if FRONTEND_URL else None + if frontend_origin and frontend_origin not in CORS_ALLOWED_ORIGINS: + CORS_ALLOWED_ORIGINS.append(frontend_origin) + +CORS_ALLOW_HEADERS = [ + *default_headers, + "authorization", + "content-type", + "x-csrftoken", + "x-requested-with", +] +CORS_ALLOWED_METHODS = ["DELETE", "GET", "OPTIONS", "PATCH", "POST", "PUT"] +CORS_PREFLIGHT_MAX_AGE = 86400 + + +def _build_allowed_hosts() -> list[str]: + if DEBUG: + return ["*"] + hosts: set[str] = {"localhost", "127.0.0.1", "0.0.0.0", HOSTNAME} + hosts.update(settings.allowed_hosts) + frontend_domain = _extract_domain(FRONTEND_URL) + if frontend_domain: + hosts.add(frontend_domain) + hosts.update(filter(None, (_extract_domain(o) for o in settings.cors_allowed_origins))) + return sorted(filter(None, hosts)) + + +ALLOWED_HOSTS = _build_allowed_hosts() + +ENABLE_MAPSWIPE = settings.enable_mapswipe +MAPSWIPE_BACKEND_URL = _str(settings.mapswipe_backend_url) +MAPSWIPE_MANAGER_URL = _str(settings.mapswipe_manager_url) +MAPSWIPE_WEB_URL = _str(settings.mapswipe_web_url) +MAPSWIPE_CSRFTOKEN_KEY = settings.mapswipe_csrftoken_key +MAPSWIPE_FB_AUTH_URL = _str(settings.mapswipe_fb_auth_url) +MAPSWIPE_FB_USERNAME = settings.mapswipe_fb_username +MAPSWIPE_FB_PASSWORD = _secret(settings.mapswipe_fb_password) +MAPSWIPE_TUTORIAL_ID = settings.mapswipe_tutorial_id +MAPSWIPE_ORGANIZATION_ID = settings.mapswipe_organization_id +MAPSWIPE_VERIFICATION_NUMBER = settings.mapswipe_verification_number +MAPSWIPE_POLL_INTERVAL = settings.mapswipe_poll_interval +MAPSWIPE_POLL_TIMEOUT = settings.mapswipe_poll_timeout + +DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField" diff --git a/backend/config/urls.py b/backend/config/urls.py new file mode 100644 index 000000000..8b1971196 --- /dev/null +++ b/backend/config/urls.py @@ -0,0 +1,74 @@ +import tomllib +from pathlib import Path + +from django.conf import settings +from django.conf.urls import include +from django.contrib import admin +from django.http import JsonResponse +from django.urls import path +from drf_spectacular.views import ( + SpectacularAPIView, + SpectacularRedocView, + SpectacularSwaggerView, +) +from rest_framework.settings import api_settings + +from config.settings import AuthProvider + +_APP_VERSION = tomllib.loads( + (Path(__file__).resolve().parent.parent / "pyproject.toml").read_text() +)["project"]["version"] + + +def home(_request): + return JsonResponse( + { + "name": "fAIr API", + "app_version": _APP_VERSION, + "api_version": api_settings.DEFAULT_VERSION, + "schema": "/api/schema/", + "docs": "/api/docs/", + } + ) + + +admin_mapping_patterns = [] +if settings.AUTH_PROVIDER == AuthProvider.HANKO: + from hotosm_auth_django.admin_routes import create_admin_urlpatterns + + admin_mapping_patterns = create_admin_urlpatterns( + app_name="fair", + user_model="accounts.OsmUser", + user_id_column="osm_id", + user_name_column="username", + user_email_column="email", + ) + +v1_patterns = [ + path("auth/", include("accounts.urls")), + path("", include("datasets.urls")), + path("", include("modelregistry.urls")), + path("", include("trainings.urls")), + path("", include("predictions.urls")), + path("", include("feedback.urls")), + path("", include("notifications.urls")), + path("", include("workspace.urls")), + path("", include("system.urls")), + path("", include("stars.urls")), +] + +urlpatterns = [ + path("api/schema/", SpectacularAPIView.as_view(), name="schema"), + path("api/docs/", SpectacularSwaggerView.as_view(url_name="schema"), name="swagger-ui"), + path("api/redoc/", SpectacularRedocView.as_view(url_name="schema"), name="redoc"), + path("api/", home, name="home"), + path("api/v1/", include((v1_patterns, "v1"), namespace="v1")), + path("api/admin/", include(admin_mapping_patterns)), + path("django-admin/", admin.site.urls), +] + +if settings.DEBUG: + from django.conf.urls.static import static + + urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) + urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) diff --git a/backend/config/wsgi.py b/backend/config/wsgi.py new file mode 100644 index 000000000..850933564 --- /dev/null +++ b/backend/config/wsgi.py @@ -0,0 +1,7 @@ +import os + +from django.core.wsgi import get_wsgi_application + +os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings") + +application = get_wsgi_application() diff --git a/backend/core/.DS_Store b/backend/core/.DS_Store deleted file mode 100644 index 6270c7da2..000000000 Binary files a/backend/core/.DS_Store and /dev/null differ diff --git a/backend/core/admin.py b/backend/core/admin.py deleted file mode 100644 index b739f80cf..000000000 --- a/backend/core/admin.py +++ /dev/null @@ -1,103 +0,0 @@ -from django.contrib import admin -from django.contrib.gis import admin as geoadmin - -from .models import ( - AOI, - Banner, - Dataset, - Feedback, - Label, - Model, - Prediction, - Training, - UserNotification, -) - -@admin.register(Dataset) -class DatasetAdmin(geoadmin.GISModelAdmin): - list_display = ["name", "user"] - - -@admin.register(Model) -class ModelAdmin(geoadmin.GISModelAdmin): - list_display = ["get_dataset_id", "name", "status", "created_at", "user"] - - def get_dataset_id(self, obj): - return obj.dataset.id - - get_dataset_id.short_description = "Dataset" - - -@admin.register(Training) -class TrainingAdmin(geoadmin.GISModelAdmin): - list_display = [ - "get_model_id", - "description", - "status", - "zoom_level", - "user", - "accuracy", - ] - list_filter = ["status"] - - def get_model_id(self, obj): - return obj.model.id - - get_model_id.short_description = "Model" - - -@admin.register(Feedback) -class FeedbackAdmin(geoadmin.GISModelAdmin): - list_display = [ - "id", - "get_training_id", - "action", - "user", - "created_at", - ] - list_filter = ["action", "created_at"] - search_fields = ["user__username", "comments"] - - def get_training_id(self, obj): - return obj.training.id if obj.training else "N/A" - - get_training_id.short_description = "Training" - - -@admin.register(Banner) -class BannerAdmin(admin.ModelAdmin): - list_display = ("message", "start_date", "end_date", "is_displayable") - list_filter = ("start_date", "end_date") - search_fields = ("message",) - readonly_fields = ("is_displayable",) - - def is_displayable(self, obj): - return obj.is_displayable() - - is_displayable.boolean = True - is_displayable.short_description = "Currently Displayable" - - -@admin.register(AOI) -class AOIAdmin(geoadmin.GISModelAdmin): - list_display = ["id", "get_dataset_id", "label_status", "user", "created_at"] - list_filter = ["label_status", "created_at"] - - def get_dataset_id(self, obj): - return obj.dataset.id - - get_dataset_id.short_description = "Dataset" - - -@admin.register(Prediction) -class PredictionAdmin(geoadmin.GISModelAdmin): - list_display = ["id", "description", "status", "result", "user", "created_at"] - list_filter = ["status", "created_at"] - search_fields = ["description", "user__username"] - - -@admin.register(UserNotification) -class UserNotificationAdmin(admin.ModelAdmin): - list_display = ["id", "user", "message", "is_read", "created_at"] - list_filter = ["is_read", "created_at"] - search_fields = ["user__username", "message"] diff --git a/backend/core/apps.py b/backend/core/apps.py deleted file mode 100644 index 1faef37e3..000000000 --- a/backend/core/apps.py +++ /dev/null @@ -1,8 +0,0 @@ -from django.apps import AppConfig - - -class CoreConfig(AppConfig): - name = 'core' - - def ready(self): - import core.schema diff --git a/backend/core/exceptions.py b/backend/core/exceptions.py deleted file mode 100644 index 54f65d00e..000000000 --- a/backend/core/exceptions.py +++ /dev/null @@ -1,211 +0,0 @@ -import logging -from typing import Dict, Any, Optional, Union -from rest_framework import status -from rest_framework.views import exception_handler -from rest_framework.response import Response -from django.core.exceptions import ValidationError as DjangoValidationError - -logger = logging.getLogger(__name__) - - -class FairBaseException(Exception): - default_message = "An error occurred" - status_code = status.HTTP_500_INTERNAL_SERVER_ERROR - error_code = "FAIR_ERROR" - - def __init__(self, message: Optional[str] = None, details: Optional[Dict[str, Any]] = None): - self.message = message or self.default_message - self.details = details or {} - super().__init__(self.message) - - def to_dict(self) -> Dict[str, Any]: - return { - "error": { - "code": self.error_code, - "message": self.message, - "details": self.details - } - } - - -class ValidationException(FairBaseException): - default_message = "Validation failed" - status_code = status.HTTP_400_BAD_REQUEST - error_code = "VALIDATION_ERROR" - - -class AuthenticationException(FairBaseException): - default_message = "Authentication failed" - status_code = status.HTTP_401_UNAUTHORIZED - error_code = "AUTHENTICATION_ERROR" - - -class LoginException(FairBaseException): - default_message = "Login failed" - status_code = status.HTTP_400_BAD_REQUEST - error_code = "LOGIN_ERROR" - - -class AuthorizationException(FairBaseException): - default_message = "Permission denied" - status_code = status.HTTP_403_FORBIDDEN - error_code = "AUTHORIZATION_ERROR" - - -class ResourceNotFoundException(FairBaseException): - default_message = "Resource not found" - status_code = status.HTTP_404_NOT_FOUND - error_code = "RESOURCE_NOT_FOUND" - - -class ConflictException(FairBaseException): - default_message = "Resource conflict" - status_code = status.HTTP_409_CONFLICT - error_code = "RESOURCE_CONFLICT" - - -class RateLimitException(FairBaseException): - default_message = "Rate limit exceeded" - status_code = status.HTTP_429_TOO_MANY_REQUESTS - error_code = "RATE_LIMIT_EXCEEDED" - - -class GeometryValidationException(ValidationException): - default_message = "Invalid geometry data" - error_code = "GEOMETRY_VALIDATION_ERROR" - - -class SpatialQueryException(FairBaseException): - default_message = "Spatial query failed" - status_code = status.HTTP_400_BAD_REQUEST - error_code = "SPATIAL_QUERY_ERROR" - - -class ModelTrainingException(FairBaseException): - default_message = "Model training failed" - status_code = status.HTTP_422_UNPROCESSABLE_ENTITY - error_code = "TRAINING_ERROR" - - -class PredictionException(FairBaseException): - default_message = "Prediction failed" - status_code = status.HTTP_422_UNPROCESSABLE_ENTITY - error_code = "PREDICTION_ERROR" - - -class ExternalServiceException(FairBaseException): - default_message = "External service unavailable" - status_code = status.HTTP_502_BAD_GATEWAY - error_code = "EXTERNAL_SERVICE_ERROR" - - -class S3ServiceException(ExternalServiceException): - default_message = "Storage service unavailable" - error_code = "S3_SERVICE_ERROR" - - -class OSMServiceException(ExternalServiceException): - default_message = "OpenStreetMap service unavailable" - error_code = "OSM_SERVICE_ERROR" - - -class DataIntegrityException(FairBaseException): - default_message = "Data integrity violation" - status_code = status.HTTP_422_UNPROCESSABLE_ENTITY - error_code = "DATA_INTEGRITY_ERROR" - - -def custom_exception_handler(exc, context): - if isinstance(exc, FairBaseException): - logger.warning( - f"FairException: {exc.error_code} - {exc.message}", - extra={ - "error_code": exc.error_code, - "details": exc.details, - "view": context.get('view').__class__.__name__ if context.get('view') else None, - "request_path": context.get('request').path if context.get('request') else None - } - ) - return Response(exc.to_dict(), status=exc.status_code) - - if isinstance(exc, DjangoValidationError): - validation_exc = ValidationException( - message="Validation failed", - details={"validation_errors": exc.message_dict if hasattr(exc, 'message_dict') else [str(exc)]} - ) - logger.warning(f"Django ValidationError: {exc}") - return Response(validation_exc.to_dict(), status=validation_exc.status_code) - - response = exception_handler(exc, context) - - if response is not None: - custom_response_data = { - "error": { - "code": "DRF_ERROR", - "message": "Request processing failed", - "details": response.data - } - } - - if response.status_code == status.HTTP_400_BAD_REQUEST: - custom_response_data["error"]["code"] = "VALIDATION_ERROR" - custom_response_data["error"]["message"] = "Invalid request data" - elif response.status_code == status.HTTP_401_UNAUTHORIZED: - custom_response_data["error"]["code"] = "AUTHENTICATION_ERROR" - custom_response_data["error"]["message"] = "Authentication required" - elif response.status_code == status.HTTP_403_FORBIDDEN: - custom_response_data["error"]["code"] = "AUTHORIZATION_ERROR" - custom_response_data["error"]["message"] = "Permission denied" - elif response.status_code == status.HTTP_404_NOT_FOUND: - custom_response_data["error"]["code"] = "RESOURCE_NOT_FOUND" - custom_response_data["error"]["message"] = "Resource not found" - elif response.status_code == status.HTTP_405_METHOD_NOT_ALLOWED: - custom_response_data["error"]["code"] = "METHOD_NOT_ALLOWED" - custom_response_data["error"]["message"] = "HTTP method not allowed" - elif response.status_code == status.HTTP_429_TOO_MANY_REQUESTS: - custom_response_data["error"]["code"] = "RATE_LIMIT_EXCEEDED" - custom_response_data["error"]["message"] = "Rate limit exceeded" - elif response.status_code >= 500: - custom_response_data["error"]["code"] = "INTERNAL_SERVER_ERROR" - custom_response_data["error"]["message"] = "Internal server error" - logger.error(f"Internal server error: {exc}", exc_info=True) - - response.data = custom_response_data - - return response - - -def handle_validation_error(field_name: str, message: str, value: Any = None) -> ValidationException: - details = {"field": field_name, "message": message} - if value is not None: - details["invalid_value"] = str(value) - - return ValidationException( - message=f"Validation failed for field '{field_name}': {message}", - details=details - ) - - -def handle_geometry_error(geometry_type: str, error_message: str, geometry_data: Any = None) -> GeometryValidationException: - details = { - "geometry_type": geometry_type, - "error": error_message - } - - return GeometryValidationException( - message=f"Invalid {geometry_type} geometry: {error_message}", - details=details - ) - - -def handle_spatial_query_error(operation: str, error_message: str, **kwargs) -> SpatialQueryException: - details = { - "operation": operation, - "error": error_message, - **kwargs - } - - return SpatialQueryException( - message=f"Spatial query failed: {error_message}", - details=details - ) \ No newline at end of file diff --git a/backend/core/management/commands/backup_db.py b/backend/core/management/commands/backup_db.py deleted file mode 100644 index b89213951..000000000 --- a/backend/core/management/commands/backup_db.py +++ /dev/null @@ -1,42 +0,0 @@ -import os -import subprocess -from django.conf import settings -from django.core.management.base import BaseCommand, CommandError - - -class Command(BaseCommand): - help = 'Create PostgreSQL database backup' - - def add_arguments(self, parser): - parser.add_argument('output', type=str, help='Output file path') - - def handle(self, *args, **options): - output_file = options['output'] - - db_config = settings.DATABASES['default'] - db_name = db_config['NAME'] - db_user = db_config['USER'] - db_password = db_config['PASSWORD'] - db_host = db_config['HOST'] - db_port = db_config['PORT'] - - cmd = ['pg_dump'] - if db_host: - cmd.extend(['-h', db_host]) - if db_port: - cmd.extend(['-p', str(db_port)]) - if db_user: - cmd.extend(['-U', db_user]) - cmd.extend(['-f', output_file, db_name]) - - env = os.environ.copy() - if db_password: - env['PGPASSWORD'] = db_password - - try: - subprocess.run(cmd, env=env, check=True) - self.stdout.write(self.style.SUCCESS(f'Backup created: {output_file}')) - except subprocess.CalledProcessError: - raise CommandError('pg_dump failed') - except FileNotFoundError: - raise CommandError('pg_dump not found') diff --git a/backend/core/management/commands/makesuper.py b/backend/core/management/commands/makesuper.py deleted file mode 100644 index fd87e6500..000000000 --- a/backend/core/management/commands/makesuper.py +++ /dev/null @@ -1,13 +0,0 @@ -from django.contrib.auth import get_user_model -from django.core.management.base import BaseCommand - - -class Command(BaseCommand): - def handle(self, *args, **options): - User = get_user_model() - if not User.objects.filter(username="admin").exists(): - User.objects.create_superuser( - "admin", "admin@domain.com", "admin") - self.stdout.write(self.style.SUCCESS('Admin user has created')) - else: - self.stdout.write(self.style.SUCCESS('Admin user already exists')) diff --git a/backend/core/management/commands/rename.py b/backend/core/management/commands/rename.py deleted file mode 100644 index 0034b8f44..000000000 --- a/backend/core/management/commands/rename.py +++ /dev/null @@ -1,35 +0,0 @@ -import os -from django.core.management.base import BaseCommand - - -class Command(BaseCommand): - help = 'Renames a Django project' - - def add_arguments(self, parser): - parser.add_argument('current', type=str, nargs='+', - help='The current Django project folder name') - parser.add_argument('new', type=str, nargs='+', - help='The new Django project name') - - def handle(self, *args, **kwargs): - current_project_name = kwargs['current'][0] - new_project_name = kwargs['new'][0] - - # logic for renaming the files - - files_to_rename = [f'{current_project_name}/settings.py', - f'{current_project_name}/wsgi.py', 'manage.py'] - - for f in files_to_rename: - with open(f, 'r') as file: - filedata = file.read() - - filedata = filedata.replace(current_project_name, new_project_name) - - with open(f, 'w') as file: - file.write(filedata) - - os.rename(current_project_name, new_project_name) - - self.stdout.write(self.style.SUCCESS( - 'Project has been renamed to %s' % new_project_name)) \ No newline at end of file diff --git a/backend/core/management/commands/restore_db.py b/backend/core/management/commands/restore_db.py deleted file mode 100644 index e4165c9bb..000000000 --- a/backend/core/management/commands/restore_db.py +++ /dev/null @@ -1,45 +0,0 @@ -import os -import subprocess -from django.conf import settings -from django.core.management.base import BaseCommand, CommandError - - -class Command(BaseCommand): - help = 'Restore PostgreSQL database from backup' - - def add_arguments(self, parser): - parser.add_argument('backup_file', type=str, help='Path to backup file') - - def handle(self, *args, **options): - backup_file = options['backup_file'] - - if not os.path.exists(backup_file): - raise CommandError(f'Backup file not found: {backup_file}') - - db_config = settings.DATABASES['default'] - db_name = db_config['NAME'] - db_user = db_config['USER'] - db_password = db_config['PASSWORD'] - db_host = db_config['HOST'] - db_port = db_config['PORT'] - - cmd = ['psql'] - if db_host: - cmd.extend(['-h', db_host]) - if db_port: - cmd.extend(['-p', str(db_port)]) - if db_user: - cmd.extend(['-U', db_user]) - cmd.extend(['-d', db_name, '-f', backup_file]) - - env = os.environ.copy() - if db_password: - env['PGPASSWORD'] = db_password - - try: - subprocess.run(cmd, env=env, check=True) - self.stdout.write(self.style.SUCCESS(f'Database restored from: {backup_file}')) - except subprocess.CalledProcessError: - raise CommandError('psql failed') - except FileNotFoundError: - raise CommandError('psql not found') diff --git a/backend/core/management/commands/runserver_with_q.py b/backend/core/management/commands/runserver_with_q.py deleted file mode 100644 index 18dc488d2..000000000 --- a/backend/core/management/commands/runserver_with_q.py +++ /dev/null @@ -1,15 +0,0 @@ -import multiprocessing -import os - -from django.core.management import call_command -from django.core.management.commands.runserver import Command as RunserverCommand - - -class Command(RunserverCommand): - def handle(self, *args, **options): - multiprocessing.Process(target=self.start_django_q).start() - - super().handle(*args, **options) - - def start_django_q(self): - call_command("qcluster") diff --git a/backend/core/migrations/0001_initial.py b/backend/core/migrations/0001_initial.py deleted file mode 100644 index 47d30c149..000000000 --- a/backend/core/migrations/0001_initial.py +++ /dev/null @@ -1,140 +0,0 @@ -# Generated by Django 4.1.4 on 2024-05-30 15:20 - -from django.conf import settings -import django.contrib.gis.db.models.fields -import django.contrib.postgres.fields -import django.core.validators -from django.db import migrations, models -import django.db.models.deletion - - -class Migration(migrations.Migration): - - initial = True - - dependencies = [ - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ] - - operations = [ - migrations.CreateModel( - name='AOI', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('geom', django.contrib.gis.db.models.fields.PolygonField(srid=4326)), - ('label_status', models.IntegerField(choices=[(1, 'Downloaded'), (-1, 'Not Downloaded'), (0, 'Running')], default=-1)), - ('label_fetched', models.DateTimeField(blank=True, null=True)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('last_modified', models.DateTimeField(auto_now=True)), - ], - ), - migrations.CreateModel( - name='Dataset', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('name', models.CharField(max_length=255)), - ('last_modified', models.DateTimeField(auto_now=True)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('source_imagery', models.URLField(blank=True, null=True)), - ('status', models.IntegerField(choices=[(1, 'Archived'), (0, 'Active'), (-1, 'Draft')], default=-1)), - ('created_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ], - ), - migrations.CreateModel( - name='FeedbackAOI', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('geom', django.contrib.gis.db.models.fields.PolygonField(srid=4326)), - ('label_status', models.IntegerField(choices=[(1, 'Downloaded'), (-1, 'Not Downloaded'), (0, 'Running')], default=-1)), - ('label_fetched', models.DateTimeField(blank=True, null=True)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('last_modified', models.DateTimeField(auto_now=True)), - ('source_imagery', models.URLField()), - ], - ), - migrations.CreateModel( - name='Model', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('name', models.CharField(max_length=255)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('last_modified', models.DateTimeField(auto_now=True)), - ('published_training', models.PositiveIntegerField(blank=True, null=True)), - ('status', models.IntegerField(choices=[(1, 'Archived'), (0, 'Published'), (-1, 'Draft')], default=-1)), - ('created_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ('dataset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.dataset')), - ], - ), - migrations.CreateModel( - name='Training', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('source_imagery', models.URLField(blank=True, null=True)), - ('description', models.TextField(blank=True, max_length=500, null=True)), - ('created_at', models.DateTimeField(auto_now=True)), - ('status', models.CharField(choices=[('SUBMITTED', 'SUBMITTED'), ('RUNNING', 'RUNNING'), ('FINISHED', 'FINISHED'), ('FAILED', 'FAILED')], default='SUBMITTED', max_length=10)), - ('task_id', models.CharField(blank=True, max_length=100, null=True)), - ('zoom_level', django.contrib.postgres.fields.ArrayField(base_field=models.PositiveIntegerField(), size=4)), - ('started_at', models.DateTimeField(blank=True, null=True)), - ('finished_at', models.DateTimeField(blank=True, null=True)), - ('accuracy', models.FloatField(blank=True, null=True)), - ('epochs', models.PositiveIntegerField()), - ('chips_length', models.PositiveIntegerField(default=0)), - ('batch_size', models.PositiveIntegerField()), - ('freeze_layers', models.BooleanField(default=False)), - ('created_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ('model', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.model')), - ], - ), - migrations.CreateModel( - name='Label', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('geom', django.contrib.gis.db.models.fields.GeometryField(srid=4326)), - ('osm_id', models.BigIntegerField(blank=True, null=True)), - ('tags', models.JSONField(blank=True, null=True)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('aoi', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.aoi')), - ], - ), - migrations.CreateModel( - name='FeedbackLabel', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('osm_id', models.BigIntegerField(blank=True, null=True)), - ('tags', models.JSONField(blank=True, null=True)), - ('geom', django.contrib.gis.db.models.fields.PolygonField(srid=4326)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('feedback_aoi', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.feedbackaoi')), - ], - ), - migrations.AddField( - model_name='feedbackaoi', - name='training', - field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.training'), - ), - migrations.AddField( - model_name='feedbackaoi', - name='user', - field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id'), - ), - migrations.CreateModel( - name='Feedback', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('geom', django.contrib.gis.db.models.fields.GeometryField(srid=4326)), - ('created_at', models.DateTimeField(auto_now_add=True)), - ('zoom_level', models.PositiveIntegerField(validators=[django.core.validators.MinValueValidator(18), django.core.validators.MaxValueValidator(23)])), - ('feedback_type', models.CharField(choices=[('TP', 'True Positive'), ('TN', 'True Negative'), ('FP', 'False Positive'), ('FN', 'False Negative')], max_length=10)), - ('comments', models.TextField(blank=True, max_length=100, null=True)), - ('source_imagery', models.URLField()), - ('training', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.training')), - ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ], - ), - migrations.AddField( - model_name='aoi', - name='dataset', - field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.dataset'), - ), - ] diff --git a/backend/core/migrations/0003_training_chips_length.py b/backend/core/migrations/0003_training_chips_length.py deleted file mode 100644 index eb86d3fec..000000000 --- a/backend/core/migrations/0003_training_chips_length.py +++ /dev/null @@ -1,18 +0,0 @@ -# Generated by Django 4.1.4 on 2024-05-30 15:37 - -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('core', '0002_remove_training_chips_length'), - ] - - operations = [ - migrations.AddField( - model_name='training', - name='chips_length', - field=models.PositiveIntegerField(default=0), - ), - ] diff --git a/backend/core/migrations/0004_approvedpredictions.py b/backend/core/migrations/0004_approvedpredictions.py deleted file mode 100644 index 85776aa3f..000000000 --- a/backend/core/migrations/0004_approvedpredictions.py +++ /dev/null @@ -1,28 +0,0 @@ -# Generated by Django 4.1.4 on 2024-09-30 19:58 - -from django.conf import settings -import django.contrib.gis.db.models.fields -from django.db import migrations, models -import django.db.models.deletion - - -class Migration(migrations.Migration): - - dependencies = [ - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ('core', '0003_training_chips_length'), - ] - - operations = [ - migrations.CreateModel( - name='ApprovedPredictions', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('config', models.JSONField(blank=True, null=True)), - ('geom', django.contrib.gis.db.models.fields.GeometryField(srid=4326)), - ('approved_at', models.DateTimeField(auto_now_add=True)), - ('approved_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ('training', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='core.training')), - ], - ), - ] diff --git a/backend/core/migrations/0005_banner_rename_approved_by_approvedpredictions_user_and_more.py b/backend/core/migrations/0005_banner_rename_approved_by_approvedpredictions_user_and_more.py deleted file mode 100644 index 75ab66a4d..000000000 --- a/backend/core/migrations/0005_banner_rename_approved_by_approvedpredictions_user_and_more.py +++ /dev/null @@ -1,83 +0,0 @@ -# Generated by Django 4.1.4 on 2025-01-02 20:22 - -from django.conf import settings -import django.contrib.gis.db.models.fields -from django.db import migrations, models -import django.db.models.deletion -import django.utils.timezone - - -class Migration(migrations.Migration): - - dependencies = [ - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ('core', '0004_approvedpredictions'), - ] - - operations = [ - migrations.CreateModel( - name='Banner', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('message', models.TextField(max_length=500)), - ('start_date', models.DateTimeField(default=django.utils.timezone.now)), - ('end_date', models.DateTimeField(blank=True, null=True)), - ], - ), - migrations.RenameField( - model_name='approvedpredictions', - old_name='approved_by', - new_name='user', - ), - migrations.RenameField( - model_name='dataset', - old_name='created_by', - new_name='user', - ), - migrations.RenameField( - model_name='model', - old_name='created_by', - new_name='user', - ), - migrations.RenameField( - model_name='training', - old_name='created_by', - new_name='user', - ), - migrations.AddField( - model_name='aoi', - name='user', - field=models.ForeignKey(default=7004124, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id'), - preserve_default=False, - ), - migrations.AddField( - model_name='model', - name='base_model', - field=models.CharField(choices=[('RAMP', 'RAMP'), ('YOLO_V8_V1', 'YOLO_V8_V1'), ('YOLO_V8_V2', 'YOLO_V8_V2')], default='RAMP', max_length=50), - ), - migrations.AddField( - model_name='model', - name='description', - field=models.TextField(blank=True, max_length=4000, null=True), - ), - migrations.AddField( - model_name='training', - name='centroid', - field=django.contrib.gis.db.models.fields.PointField(blank=True, null=True, srid=4326), - ), - migrations.AlterField( - model_name='dataset', - name='name', - field=models.CharField(max_length=50), - ), - migrations.AlterField( - model_name='model', - name='dataset', - field=models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='core.dataset'), - ), - migrations.AlterField( - model_name='model', - name='name', - field=models.CharField(max_length=50), - ), - ] diff --git a/backend/core/migrations/0006_dataset_offset_usernotification.py b/backend/core/migrations/0006_dataset_offset_usernotification.py deleted file mode 100644 index e507dedbf..000000000 --- a/backend/core/migrations/0006_dataset_offset_usernotification.py +++ /dev/null @@ -1,35 +0,0 @@ -# Generated by Django 4.1.4 on 2025-04-02 13:41 - -from django.conf import settings -import django.contrib.postgres.fields -from django.db import migrations, models -import django.db.models.deletion -import django.utils.timezone - - -class Migration(migrations.Migration): - - dependencies = [ - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ('core', '0005_banner_rename_approved_by_approvedpredictions_user_and_more'), - ] - - operations = [ - migrations.AddField( - model_name='dataset', - name='offset', - field=django.contrib.postgres.fields.ArrayField(base_field=models.FloatField(), default=[0.0, 0.0], size=2, verbose_name='Imagery Offset [x, y]'), - ), - migrations.CreateModel( - name='UserNotification', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('is_read', models.BooleanField(default=False)), - ('created_at', models.DateTimeField(default=django.utils.timezone.now)), - ('read_at', models.DateTimeField(blank=True, null=True)), - ('message', models.TextField(max_length=500)), - ('training', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='core.training')), - ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='notifications', to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ], - ), - ] diff --git a/backend/core/migrations/0007_remove_feedback_feedback_type_and_more.py b/backend/core/migrations/0007_remove_feedback_feedback_type_and_more.py deleted file mode 100644 index 34368b6e7..000000000 --- a/backend/core/migrations/0007_remove_feedback_feedback_type_and_more.py +++ /dev/null @@ -1,76 +0,0 @@ -# Generated by Django 5.2.1 on 2025-07-07 19:42 - -import django.contrib.gis.db.models.fields -import django.db.models.deletion -import django.utils.timezone -from django.conf import settings -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('contenttypes', '0002_remove_content_type_name'), - ('core', '0006_dataset_offset_usernotification'), - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ] - - operations = [ - migrations.RemoveField( - model_name='feedback', - name='feedback_type', - ), - migrations.RemoveField( - model_name='feedback', - name='source_imagery', - ), - migrations.RemoveField( - model_name='feedback', - name='zoom_level', - ), - migrations.RemoveField( - model_name='usernotification', - name='training', - ), - migrations.AddField( - model_name='feedback', - name='action', - field=models.CharField(choices=[('ACCEPT', 'ACCEPT'), ('REJECT', 'REJECT')], default='ACCEPT', max_length=6), - ), - migrations.AddField( - model_name='feedback', - name='config', - field=models.JSONField(blank=True, null=True), - ), - migrations.AddField( - model_name='usernotification', - name='content_type', - field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='contenttypes.contenttype'), - ), - migrations.AddField( - model_name='usernotification', - name='object_id', - field=models.PositiveIntegerField(null=True), - ), - migrations.AlterField( - model_name='feedback', - name='training', - field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='core.training'), - ), - migrations.CreateModel( - name='Prediction', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('description', models.TextField(blank=True, max_length=500, null=True)), - ('created_at', models.DateTimeField(default=django.utils.timezone.now)), - ('started_at', models.DateTimeField(blank=True, null=True)), - ('finished_at', models.DateTimeField(blank=True, null=True)), - ('status', models.CharField(choices=[('SUBMITTED', 'SUBMITTED'), ('RUNNING', 'RUNNING'), ('FINISHED', 'FINISHED'), ('FAILED', 'FAILED')], default='SUBMITTED', max_length=10)), - ('task_id', models.CharField(blank=True, max_length=100, null=True)), - ('mapswipe_id', models.CharField(blank=True, max_length=100, null=True)), - ('config', models.JSONField(blank=True, null=True)), - ('geom', django.contrib.gis.db.models.fields.PolygonField(srid=4326)), - ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, to_field='osm_id')), - ], - ), - ] diff --git a/backend/core/migrations/0008_prediction_result_count.py b/backend/core/migrations/0008_prediction_result_count.py deleted file mode 100644 index f15bbddba..000000000 --- a/backend/core/migrations/0008_prediction_result_count.py +++ /dev/null @@ -1,18 +0,0 @@ -# Generated by Django 5.2.1 on 2025-07-18 06:08 - -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('core', '0007_remove_feedback_feedback_type_and_more'), - ] - - operations = [ - migrations.AddField( - model_name='prediction', - name='result_count', - field=models.PositiveIntegerField(default=0), - ), - ] diff --git a/backend/core/migrations/0009_update_model_dataset_relationship.py b/backend/core/migrations/0009_update_model_dataset_relationship.py deleted file mode 100644 index 2990cf279..000000000 --- a/backend/core/migrations/0009_update_model_dataset_relationship.py +++ /dev/null @@ -1,40 +0,0 @@ -# Generated by Django 5.2.1 on 2025-09-24 19:42 - -import django.db.models.deletion -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('core', '0008_prediction_result_count'), - ] - - operations = [ - migrations.RemoveField( - model_name='feedbackaoi', - name='training', - ), - migrations.RemoveField( - model_name='feedbackaoi', - name='user', - ), - migrations.RemoveField( - model_name='feedbacklabel', - name='feedback_aoi', - ), - migrations.AlterField( - model_name='model', - name='dataset', - field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.dataset'), - ), - migrations.DeleteModel( - name='ApprovedPredictions', - ), - migrations.DeleteModel( - name='FeedbackAOI', - ), - migrations.DeleteModel( - name='FeedbackLabel', - ), - ] diff --git a/backend/core/migrations/0010_aoi_core_aoi_dataset_95534b_idx_and_more.py b/backend/core/migrations/0010_aoi_core_aoi_dataset_95534b_idx_and_more.py deleted file mode 100644 index 35346a47f..000000000 --- a/backend/core/migrations/0010_aoi_core_aoi_dataset_95534b_idx_and_more.py +++ /dev/null @@ -1,96 +0,0 @@ -# Generated by Django 5.2.1 on 2025-09-25 20:49 - -from django.conf import settings -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('contenttypes', '0002_remove_content_type_name'), - ('core', '0009_update_model_dataset_relationship'), - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ] - - operations = [ - migrations.AddIndex( - model_name='aoi', - index=models.Index(fields=['dataset'], name='core_aoi_dataset_95534b_idx'), - ), - migrations.AddIndex( - model_name='aoi', - index=models.Index(fields=['geom'], name='aoi_geom_gist_idx', opclasses=['gist']), - ), - migrations.AddIndex( - model_name='feedback', - index=models.Index(fields=['training'], name='core_feedba_trainin_0274b7_idx'), - ), - migrations.AddIndex( - model_name='feedback', - index=models.Index(fields=['user'], name='core_feedba_user_id_7bacb2_idx'), - ), - migrations.AddIndex( - model_name='feedback', - index=models.Index(fields=['action'], name='core_feedba_action_6b2112_idx'), - ), - migrations.AddIndex( - model_name='feedback', - index=models.Index(fields=['geom'], name='feedback_geom_gist_idx', opclasses=['gist']), - ), - migrations.AddIndex( - model_name='label', - index=models.Index(fields=['aoi'], name='core_label_aoi_id_e4ebe1_idx'), - ), - migrations.AddIndex( - model_name='label', - index=models.Index(fields=['osm_id'], name='core_label_osm_id_1bfa98_idx'), - ), - migrations.AddIndex( - model_name='label', - index=models.Index(fields=['geom'], name='label_geom_gist_idx', opclasses=['gist']), - ), - migrations.AddIndex( - model_name='model', - index=models.Index(fields=['status'], name='core_model_status_edb233_idx'), - ), - migrations.AddIndex( - model_name='model', - index=models.Index(fields=['created_at'], name='core_model_created_b5fb15_idx'), - ), - migrations.AddIndex( - model_name='model', - index=models.Index(fields=['last_modified'], name='core_model_last_mo_482b06_idx'), - ), - migrations.AddIndex( - model_name='model', - index=models.Index(fields=['user'], name='core_model_user_id_da74e4_idx'), - ), - migrations.AddIndex( - model_name='model', - index=models.Index(fields=['dataset'], name='core_model_dataset_baea5a_idx'), - ), - migrations.AddIndex( - model_name='prediction', - index=models.Index(fields=['status'], name='core_predic_status_ad91ef_idx'), - ), - migrations.AddIndex( - model_name='training', - index=models.Index(fields=['model'], name='core_traini_model_i_126720_idx'), - ), - migrations.AddIndex( - model_name='training', - index=models.Index(fields=['status'], name='core_traini_status_8c88dd_idx'), - ), - migrations.AddIndex( - model_name='training', - index=models.Index(fields=['user'], name='core_traini_user_id_d93b62_idx'), - ), - migrations.AddIndex( - model_name='usernotification', - index=models.Index(fields=['is_read'], name='core_userno_is_read_9c6a52_idx'), - ), - migrations.AddIndex( - model_name='usernotification', - index=models.Index(fields=['user'], name='core_userno_user_id_6997ab_idx'), - ), - ] diff --git a/backend/core/migrations/0011_prediction_result.py b/backend/core/migrations/0011_prediction_result.py deleted file mode 100644 index 4730d8dd3..000000000 --- a/backend/core/migrations/0011_prediction_result.py +++ /dev/null @@ -1,18 +0,0 @@ -# Generated by Django 5.2.1 on 2025-11-26 20:56 - -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('core', '0010_aoi_core_aoi_dataset_95534b_idx_and_more'), - ] - - operations = [ - migrations.AddField( - model_name='prediction', - name='result', - field=models.JSONField(blank=True, null=True), - ), - ] diff --git a/backend/core/migrations/0012_transfer_result_count.py b/backend/core/migrations/0012_transfer_result_count.py deleted file mode 100644 index 8d37a9a84..000000000 --- a/backend/core/migrations/0012_transfer_result_count.py +++ /dev/null @@ -1,30 +0,0 @@ -from django.db import migrations - -def transfer_count_to_json(apps, schema_editor): - Prediction = apps.get_model('core', 'Prediction') - # Iterate over all predictions that have a result_count - for prediction in Prediction.objects.all(): - # Initialize result dict if it's None - if prediction.result is None: - prediction.result = {} - - # Transfer the count - prediction.result['count'] = prediction.result_count - prediction.save(update_fields=['result']) - -def reverse_transfer(apps, schema_editor): - Prediction = apps.get_model('core', 'Prediction') - for prediction in Prediction.objects.all(): - if prediction.result and 'count' in prediction.result: - prediction.result_count = prediction.result['count'] - prediction.save(update_fields=['result_count']) - -class Migration(migrations.Migration): - - dependencies = [ - ('core', '0011_prediction_result'), - ] - - operations = [ - migrations.RunPython(transfer_count_to_json, reverse_transfer), - ] diff --git a/backend/core/migrations/0014_model_published_at_prediction_published_and_more.py b/backend/core/migrations/0014_model_published_at_prediction_published_and_more.py deleted file mode 100644 index 116a056e9..000000000 --- a/backend/core/migrations/0014_model_published_at_prediction_published_and_more.py +++ /dev/null @@ -1,28 +0,0 @@ -# Generated by Django 5.2.11 on 2026-02-19 18:57 - -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('core', '0013_remove_result_count'), - ] - - operations = [ - migrations.AddField( - model_name='model', - name='published_at', - field=models.DateTimeField(blank=True, null=True), - ), - migrations.AddField( - model_name='prediction', - name='published', - field=models.BooleanField(default=False), - ), - migrations.AddField( - model_name='prediction', - name='published_at', - field=models.DateTimeField(blank=True, null=True), - ), - ] diff --git a/backend/core/mixins.py b/backend/core/mixins.py deleted file mode 100644 index c74707571..000000000 --- a/backend/core/mixins.py +++ /dev/null @@ -1,76 +0,0 @@ -from django_filters.rest_framework import DjangoFilterBackend -from login.authentication import OsmAuthentication -from login.permissions import IsOsmAuthenticated, IsOwnerOrReadOnly -from rest_framework import filters, status, viewsets -from rest_framework.response import Response -from rest_framework_gis.filters import InBBoxFilter - - -class BaseModelViewSet(viewsets.ModelViewSet): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - filter_backends = [ - DjangoFilterBackend, - filters.SearchFilter, - filters.OrderingFilter, - ] - - def get_queryset(self): - queryset = super().get_queryset() - if hasattr(self, "filter_by_user") and self.filter_by_user: - return queryset.filter(user=self.request.user) - return queryset - - def perform_create(self, serializer): - if hasattr(serializer.Meta.model, "user"): - serializer.save(user=self.request.user) - else: - serializer.save() - - -class BaseSpatialViewSet(BaseModelViewSet): - filter_backends = [ - DjangoFilterBackend, - InBBoxFilter, - filters.SearchFilter, - filters.OrderingFilter, - ] - bbox_filter_include_overlapping = True - - -class UserAssignmentMixin: - def perform_create(self, serializer): - serializer.save(user=self.request.user) - - def get_queryset(self): - return super().get_queryset().filter(user=self.request.user) - - -class PublicFilterMixin: - """Bypass auth for safe requests when a boolean field filter is true. - - Set `public_filter_field` on the viewset (default: "published"). - GET /endpoint/?published=true -> no auth, queryset scoped to field=True. - All other requests follow normal auth flow. - """ - - public_filter_field = "published" - - def _is_public_filter_request(self): - field = self.public_filter_field - return ( - self.request.method in ("GET", "HEAD", "OPTIONS") - and self.request.query_params.get(field, "").lower() == "true" - ) - - def get_permissions(self): - if self._is_public_filter_request(): - return [] - return super().get_permissions() - - def get_queryset(self): - if self._is_public_filter_request(): - return self.queryset.model.objects.filter( - **{self.public_filter_field: True} - ) - return super().get_queryset() diff --git a/backend/core/models.py b/backend/core/models.py deleted file mode 100644 index f43869975..000000000 --- a/backend/core/models.py +++ /dev/null @@ -1,323 +0,0 @@ -import re - -from django.contrib.contenttypes.fields import GenericForeignKey -from django.contrib.contenttypes.models import ContentType -from django.contrib.gis.db import models as geomodels -from django.contrib.postgres.fields import ArrayField -from django.db import models, transaction -from django.utils import timezone -from login.models import OsmUser - -from .exceptions import handle_validation_error -from .validators import validate_geometry - - -class Dataset(models.Model): - class DatasetStatus(models.IntegerChoices): - ARCHIVED = 1 - ACTIVE = 0 - DRAFT = -1 - - name = models.CharField(max_length=50) - user = models.ForeignKey(OsmUser, to_field="osm_id", on_delete=models.CASCADE) - last_modified = models.DateTimeField(auto_now=True) - created_at = models.DateTimeField(auto_now_add=True) - source_imagery = models.URLField(blank=True, null=True) - status = models.IntegerField( - default=-1, choices=DatasetStatus.choices - ) # this is not relevant anymore , get rid of it later - - offset = ArrayField( - base_field=models.FloatField(), - size=2, - default=[0.0, 0.0], - verbose_name="Imagery Offset [x, y]", - ) - - def clean(self): - if self.offset and len(self.offset) != 2: - raise handle_validation_error( - "offset", "Offset must be a list of exactly two numbers", self.offset - ) - - -class AOI(models.Model): - class DownloadStatus(models.IntegerChoices): - DOWNLOADED = 1 - NOT_DOWNLOADED = -1 - RUNNING = 0 - - dataset = models.ForeignKey(Dataset, to_field="id", on_delete=models.CASCADE) - geom = geomodels.PolygonField(srid=4326) - label_status = models.IntegerField(default=-1, choices=DownloadStatus.choices) - label_fetched = models.DateTimeField(null=True, blank=True) - created_at = models.DateTimeField(auto_now_add=True) - last_modified = models.DateTimeField(auto_now=True) - user = models.ForeignKey(OsmUser, to_field="osm_id", on_delete=models.CASCADE) - - class Meta: - indexes = [ - models.Index(fields=["dataset"]), - models.Index(fields=["geom"], name="aoi_geom_gist_idx", opclasses=["gist"]), - ] - - @transaction.atomic - def clean(self): - if self.geom: - self.geom = validate_geometry(self.geom) - - -class Label(models.Model): - aoi = models.ForeignKey(AOI, to_field="id", on_delete=models.CASCADE) - geom = geomodels.GeometryField(srid=4326) - osm_id = models.BigIntegerField(null=True, blank=True) - tags = models.JSONField(null=True, blank=True) - created_at = models.DateTimeField(auto_now_add=True) - - class Meta: - indexes = [ - models.Index(fields=["aoi"]), - models.Index(fields=["osm_id"]), - models.Index( - fields=["geom"], name="label_geom_gist_idx", opclasses=["gist"] - ), - ] - - @transaction.atomic - def clean(self): - if self.geom: - self.geom = validate_geometry(self.geom) - - -## todo : here add base model as a new table and store licenses , information as well as config for the model hereby and use it as a choice for local models - - -class Model(models.Model): - BASE_MODEL_CHOICES = ( - ("RAMP", "RAMP"), - ("YOLO_V8_V1", "YOLO_V8_V1"), - ("YOLO_V8_V2", "YOLO_V8_V2"), - ) - - class ModelStatus(models.IntegerChoices): - ARCHIVED = 1 - PUBLISHED = 0 - DRAFT = -1 - - dataset = models.ForeignKey(Dataset, to_field="id", on_delete=models.PROTECT) - name = models.CharField(max_length=50) - created_at = models.DateTimeField(auto_now_add=True) - last_modified = models.DateTimeField(auto_now=True) - description = models.TextField(max_length=4000, null=True, blank=True) - user = models.ForeignKey(OsmUser, to_field="osm_id", on_delete=models.CASCADE) - published_training = models.PositiveIntegerField(null=True, blank=True) - published_at = models.DateTimeField(null=True, blank=True) - status = models.IntegerField(default=-1, choices=ModelStatus.choices) - base_model = models.CharField( - choices=BASE_MODEL_CHOICES, default="RAMP", max_length=50 - ) - - def save(self, *args, **kwargs): - if self.status == self.ModelStatus.PUBLISHED and not self.published_at: - self.published_at = timezone.now() - super().save(*args, **kwargs) - - class Meta: - indexes = [ - models.Index(fields=["status"]), - models.Index(fields=["created_at"]), - models.Index(fields=["last_modified"]), - models.Index(fields=["user"]), - models.Index(fields=["dataset"]), - ] - - -class Training(models.Model): - STATUS_CHOICES = ( - ("SUBMITTED", "SUBMITTED"), - ("RUNNING", "RUNNING"), - ("FINISHED", "FINISHED"), - ("FAILED", "FAILED"), - ) - model = models.ForeignKey(Model, to_field="id", on_delete=models.CASCADE) - source_imagery = models.URLField(blank=True, null=True) - description = models.TextField(max_length=500, null=True, blank=True) - created_at = models.DateTimeField(auto_now=True) - status = models.CharField( - choices=STATUS_CHOICES, default="SUBMITTED", max_length=10 - ) - task_id = models.CharField(null=True, blank=True, max_length=100) - zoom_level = ArrayField( - models.PositiveIntegerField(), - size=4, - ) - user = models.ForeignKey(OsmUser, to_field="osm_id", on_delete=models.CASCADE) - started_at = models.DateTimeField(null=True, blank=True) - finished_at = models.DateTimeField(null=True, blank=True) - accuracy = models.FloatField(null=True, blank=True) - epochs = models.PositiveIntegerField() - chips_length = models.PositiveIntegerField(default=0) - batch_size = models.PositiveIntegerField() - freeze_layers = models.BooleanField(default=False) - centroid = geomodels.PointField(srid=4326, null=True, blank=True) - - class Meta: - indexes = [ - models.Index(fields=["model"]), - models.Index(fields=["status"]), - models.Index(fields=["user"]), - ] - - def get_source_imagery_type(self): - if not self.source_imagery: - return "UNKNOWN" - xyz_pattern = re.compile( - r"^https?:\/\/[^\/]+(?:\/[^\/]+)*\/\{z\}\/\{x\}\/\{y\}(?:@[0-9a-z]+)?(?:\.(jpg|png|jpeg|webp))?(?:\?.*)?$", - re.IGNORECASE, - ) - tms_pattern = re.compile( - r"^https?:\/\/[^\/]+(?:\/[^\/]+)*\/\{z\}\/\{x\}\/\{-y\}(?:@[0-9a-z]+)?(?:\.(jpg|png|jpeg|webp))?(?:\?.*)?$", - re.IGNORECASE, - ) - tilejson_pattern = re.compile( - r"^https?:\/\/[^\/]+(?:\/[^\/?#]+)*\/[^\/?#]+\.json(?:\?.*)?$", - re.IGNORECASE, - ) - - url = self.source_imagery - if tilejson_pattern.match(url): - return "TILEJSON" - elif xyz_pattern.match(url): - return "XYZ" - elif tms_pattern.match(url): - return "TMS" - else: - return "UNKNOWN" - - -class Banner(models.Model): - message = models.TextField(max_length=500) - start_date = models.DateTimeField(default=timezone.now) - end_date = models.DateTimeField(null=True, blank=True) - - def is_displayable(self): - now = timezone.now() - return (self.start_date <= now) and ( - self.end_date is None or self.end_date >= now - ) - - def __str__(self): - return self.message - - -class UserNotification(models.Model): - user = models.ForeignKey( - OsmUser, - to_field="osm_id", - on_delete=models.CASCADE, - related_name="notifications", - ) - is_read = models.BooleanField(default=False) - created_at = models.DateTimeField(default=timezone.now) - read_at = models.DateTimeField(null=True, blank=True) - message = models.TextField(max_length=500) - content_type = models.ForeignKey( - ContentType, on_delete=models.DO_NOTHING, null=True - ) - object_id = models.PositiveIntegerField(null=True) - related_object = GenericForeignKey("content_type", "object_id") - - class Meta: - indexes = [ - models.Index(fields=["is_read"]), - models.Index(fields=["user"]), - ] - - def mark_as_read(self): - if not self.is_read: - self.is_read = True - self.read_at = timezone.now() - self.save() - - def __str__(self): - return f"Notification for {self.user.username}: {self.message[:50]}..." - - -class Feedback(models.Model): - ACTION_CHOICES = ( - ("ACCEPT", "ACCEPT"), - ("REJECT", "REJECT"), - ) - geom = geomodels.GeometryField(srid=4326) - training = models.ForeignKey( - Training, to_field="id", on_delete=models.CASCADE, blank=True, null=True - ) - action = models.CharField(choices=ACTION_CHOICES, default="ACCEPT", max_length=6) - created_at = models.DateTimeField(auto_now_add=True) - config = models.JSONField(null=True, blank=True) - comments = models.TextField(max_length=100, null=True, blank=True) - user = models.ForeignKey(OsmUser, to_field="osm_id", on_delete=models.CASCADE) - - class Meta: - indexes = [ - models.Index(fields=["training"]), - models.Index(fields=["user"]), - models.Index(fields=["action"]), - models.Index( - fields=["geom"], name="feedback_geom_gist_idx", opclasses=["gist"] - ), - ] - - def clean(self): - if self.geom: - self.geom = validate_geometry(self.geom) - - -class Prediction(models.Model): - STATUS_CHOICES = ( - ("SUBMITTED", "SUBMITTED"), - ("RUNNING", "RUNNING"), - ("FINISHED", "FINISHED"), - ("FAILED", "FAILED"), - ) - description = models.TextField(max_length=500, null=True, blank=True) - created_at = models.DateTimeField(default=timezone.now) - started_at = models.DateTimeField(null=True, blank=True) - finished_at = models.DateTimeField(null=True, blank=True) - status = models.CharField( - choices=STATUS_CHOICES, default="SUBMITTED", max_length=10 - ) - task_id = models.CharField(null=True, blank=True, max_length=100) - mapswipe_id = models.CharField(null=True, blank=True, max_length=100) - config = models.JSONField(null=True, blank=True) - result = models.JSONField(null=True, blank=True) - geom = geomodels.PolygonField(srid=4326) - user = models.ForeignKey(OsmUser, to_field="osm_id", on_delete=models.CASCADE) - published = models.BooleanField(default=False) - published_at = models.DateTimeField(null=True, blank=True) - - def save(self, *args, **kwargs): - if self.published and not self.published_at: - self.published_at = timezone.now() - super().save(*args, **kwargs) - - @transaction.atomic - def clean(self): - if self.geom: - self.geom = validate_geometry(self.geom) - if self.config: - required_fields = ["checkpoint", "zoom_level", "source"] - missing_fields = [ - field for field in required_fields if field not in self.config - ] - if missing_fields: - raise handle_validation_error( - "config", - f"Missing required fields: {', '.join(missing_fields)}", - self.config, - ) - - class Meta: - indexes = [ - models.Index(fields=["status"]), - ] diff --git a/backend/core/predictor_views.py b/backend/core/predictor_views.py deleted file mode 100644 index 14c048460..000000000 --- a/backend/core/predictor_views.py +++ /dev/null @@ -1,96 +0,0 @@ -import asyncio -import logging -import os -import time - -from rest_framework import status -from rest_framework.response import Response -from rest_framework.views import APIView - -logger = logging.getLogger(__name__) - - -class PredictorPredictView(APIView): - """ - Run AI model prediction on a specified bounding box. - - Accepts prediction parameters including bbox, model checkpoint, zoom level, - and various configuration options. Returns GeoJSON predictions. - """ - - def post(self, request): - """ - Execute prediction with the provided parameters. - - Expected request body fields: - - bbox: List of 4 coordinates [min_lon, min_lat, max_lon, max_lat] - - checkpoint: Path to model checkpoint file - - zoom_level: Zoom level for tile imagery (typically 19-21) - - source: TMS URL for imagery source - - confidence: Confidence threshold (0-100) - - tolerance: Geometry simplification tolerance - - area_threshold: Minimum area threshold for predictions - - orthogonalize: Whether to orthogonalize geometries - - ortho_skew_tolerance_deg: Orthogonalization skew tolerance in degrees - - ortho_max_angle_change_deg: Max angle change for orthogonalization - - get_predictions_as_points: Return points instead of polygons - - make_geoms_valid: Ensure output geometries are valid - """ - start_time = time.time() - - try: - from predictor.models import PredictionRequest - from predictor import predict - - params = PredictionRequest(**request.data) - - predictions = asyncio.run(predict( - bbox=params.bbox, - model_path=params.checkpoint, - zoom_level=params.zoom_level, - tms_url=params.source, - confidence=params.confidence / 100, - tolerance=params.tolerance, - area_threshold=params.area_threshold, - orthogonalize=params.orthogonalize, - ortho_skew_tolerance_deg=params.ortho_skew_tolerance_deg, - ortho_max_angle_change_deg=params.ortho_max_angle_change_deg, - get_predictions_as_points=params.get_predictions_as_points, - make_geoms_valid=params.make_geoms_valid, - )) - - if params.checkpoint.startswith("/tmp") and os.path.exists(params.checkpoint): - try: - os.remove(params.checkpoint) - except Exception as cleanup_error: - logger.warning(f"Failed to cleanup temp file: {cleanup_error}") - - process_time = time.time() - start_time - response = Response(predictions, status=status.HTTP_200_OK) - response["X-Process-Time"] = f"{process_time:.4f} seconds" - return response - - except ValueError as e: - return Response({"detail": str(e)}, status=status.HTTP_400_BAD_REQUEST) - - except RuntimeError as e: - error_message = str(e) - logger.warning(f"Runtime error during prediction: {error_message}") - - if "No images found" in error_message: - return Response( - {"detail": "No images found in the specified area. Please check your bbox and source URL."}, - status=status.HTTP_404_NOT_FOUND - ) - else: - return Response( - {"detail": f"Prediction failed: {error_message}"}, - status=status.HTTP_400_BAD_REQUEST - ) - - except Exception as e: - logger.error(f"Prediction failed with unexpected error: {e}", exc_info=True) - return Response( - {"detail": f"Internal server error during prediction: {str(e)}"}, - status=status.HTTP_500_INTERNAL_SERVER_ERROR - ) diff --git a/backend/core/ratelimit.py b/backend/core/ratelimit.py deleted file mode 100644 index 220179d34..000000000 --- a/backend/core/ratelimit.py +++ /dev/null @@ -1,28 +0,0 @@ -from django.core.cache import cache -from django.http import HttpRequest -from rest_framework.request import Request - - -def ratelimit_key_from_user(group: str, request: HttpRequest | Request) -> str: - if hasattr(request, 'user') and request.user.is_authenticated: - return f"rl:{group}:user:{request.user.osm_id}" - else: - ip = get_client_ip(request) - return f"rl:{group}:ip:{ip}" - - -def get_client_ip(request: HttpRequest | Request) -> str: - x_forwarded_for = request.META.get('HTTP_X_FORWARDED_FOR') - if x_forwarded_for: - ip = x_forwarded_for.split(',')[0].strip() - else: - ip = request.META.get('REMOTE_ADDR', '127.0.0.1') - return ip - - -def check_rate_limit(key: str, limit: int, period: int) -> bool: - current = cache.get(key, 0) - if current >= limit: - return False - cache.set(key, current + 1, period) - return True \ No newline at end of file diff --git a/backend/core/responses.py b/backend/core/responses.py deleted file mode 100644 index 8bb19925a..000000000 --- a/backend/core/responses.py +++ /dev/null @@ -1,94 +0,0 @@ -from rest_framework import status -from rest_framework.response import Response -from django.utils.translation import gettext_lazy as _ - - -class APIResponseCodes: - SUCCESS = "SUCCESS" - VALIDATION_ERROR = "VALIDATION_ERROR" - NOT_FOUND = "NOT_FOUND" - PERMISSION_DENIED = "PERMISSION_DENIED" - ALREADY_EXISTS = "ALREADY_EXISTS" - EXTERNAL_SERVICE_ERROR = "EXTERNAL_SERVICE_ERROR" - RATE_LIMIT_EXCEEDED = "RATE_LIMIT_EXCEEDED" - TRAINING_IN_PROGRESS = "TRAINING_IN_PROGRESS" - INSUFFICIENT_DATA = "INSUFFICIENT_DATA" - - -class APIResponse: - @staticmethod - def success(data=None, message="Operation successful", status_code=status.HTTP_200_OK): - response_data = { - "code": APIResponseCodes.SUCCESS, - "message": message, - } - if data is not None: - response_data["data"] = data - return Response(response_data, status=status_code) - - @staticmethod - def error(code, message, details=None, status_code=status.HTTP_400_BAD_REQUEST): - response_data = { - "code": code, - "message": message, - } - if details: - response_data["details"] = details - return Response(response_data, status=status_code) - - @staticmethod - def validation_error(message, details=None): - return APIResponse.error( - APIResponseCodes.VALIDATION_ERROR, - message, - details, - status.HTTP_400_BAD_REQUEST - ) - - @staticmethod - def not_found(message="Resource not found"): - return APIResponse.error( - APIResponseCodes.NOT_FOUND, - message, - status_code=status.HTTP_404_NOT_FOUND - ) - - @staticmethod - def permission_denied(message="Permission denied"): - return APIResponse.error( - APIResponseCodes.PERMISSION_DENIED, - message, - status_code=status.HTTP_403_FORBIDDEN - ) - - @staticmethod - def already_exists(message="Resource already exists"): - return APIResponse.error( - APIResponseCodes.ALREADY_EXISTS, - message, - status_code=status.HTTP_409_CONFLICT - ) - - @staticmethod - def external_service_error(message="External service error"): - return APIResponse.error( - APIResponseCodes.EXTERNAL_SERVICE_ERROR, - message, - status_code=status.HTTP_502_BAD_GATEWAY - ) - - @staticmethod - def training_in_progress(message="Another training is already in progress"): - return APIResponse.error( - APIResponseCodes.TRAINING_IN_PROGRESS, - message, - status_code=status.HTTP_409_CONFLICT - ) - - @staticmethod - def insufficient_data(message="Insufficient data for operation"): - return APIResponse.error( - APIResponseCodes.INSUFFICIENT_DATA, - message, - status_code=status.HTTP_422_UNPROCESSABLE_ENTITY - ) \ No newline at end of file diff --git a/backend/core/schema.py b/backend/core/schema.py deleted file mode 100644 index 85c81fc5d..000000000 --- a/backend/core/schema.py +++ /dev/null @@ -1,20 +0,0 @@ -from drf_spectacular.extensions import OpenApiSerializerExtension -from drf_spectacular.plumbing import build_basic_type -from drf_spectacular.types import OpenApiTypes -from rest_framework_gis.serializers import GeoFeatureModelSerializer - - -class GeoFeatureModelSerializerExtension(OpenApiSerializerExtension): - target_class = GeoFeatureModelSerializer - match_subclasses = True - - def map_serializer(self, auto_schema, direction): - schema = auto_schema._map_serializer( - self.target, direction, bypass_extensions=True - ) - - geo_field = getattr(self.target.Meta, 'geo_field', None) - if geo_field and 'properties' in schema and geo_field in schema['properties']: - schema['properties'][geo_field] = build_basic_type(OpenApiTypes.OBJECT) - - return schema diff --git a/backend/core/serializers.py b/backend/core/serializers.py deleted file mode 100644 index 4bb94739d..000000000 --- a/backend/core/serializers.py +++ /dev/null @@ -1,747 +0,0 @@ -import mercantile -from django.conf import settings -from login.models import OsmUser -from rest_framework import serializers -from rest_framework_gis.serializers import GeoFeatureModelSerializer - -from .models import ( - AOI, - Banner, - Dataset, - Feedback, - Label, - Model, - Prediction, - Training, - UserNotification, -) - - -class BaseModelSerializer(serializers.ModelSerializer): - def create(self, validated_data): - if hasattr(self.Meta.model, "user") and "user" not in validated_data: - validated_data["user"] = self.context["request"].user - return super().create(validated_data) - - -class ModelMetaSerializer(serializers.ModelSerializer): - class Meta: - model = Model - fields = ["id", "name", "dataset", "base_model", "status"] - - -class UserSerializer(serializers.ModelSerializer): - class Meta: - model = OsmUser - fields = ["osm_id", "username"] - read_only_fields = ["osm_id", "username"] - - -class DatasetSerializer(BaseModelSerializer): - models_count = serializers.SerializerMethodField() - - class Meta: - model = Dataset - fields = [ - "id", - "name", - "source_imagery", - "last_modified", - "created_at", - "status", - "models_count", - "offset", - "user", - ] - read_only_fields = ("user", "created_at", "last_modified", "models_count") - swagger_schema_fields = { - "example": { - "name": "Building Detection Nepal", - "source_imagery": "https://tiles.openaerialmap.org/62dbd947dd564e0c8b63a91e/0/62dbd947dd564e0c8b63a91f/{z}/{x}/{y}.png", - "status": -1, - "offset": [0.0, 0.0], - } - } - - # def validate_status(self, value): - # if self.instance is None and value != Dataset.DatasetStatus.DRAFT: - # raise serializers.ValidationError( - # "New datasets can only be created in DRAFT status. Update to ACTIVE or ARCHIVED after creation." - # ) - # return value # fixme: this should be enabled but frontend needs to be in sync first - - def get_models_count(self, obj): - return Model.objects.filter( - dataset=obj, status=Model.ModelStatus.PUBLISHED - ).count() - - def to_representation(self, instance): - ret = super().to_representation(instance) - if self.context.get("request") and self.context["request"].method == "GET": - ret["user"] = UserSerializer(instance.user).data - return ret - - -class ModelSerializer(BaseModelSerializer): - user = UserSerializer(read_only=True) - accuracy = serializers.SerializerMethodField() - thumbnail_url = serializers.SerializerMethodField() - - class Meta: - model = Model - fields = [ - "id", - "dataset", - "name", - "created_at", - "published_at", - "last_modified", - "description", - "user", - "published_training", - "status", - "base_model", - "accuracy", - "thumbnail_url", - ] - read_only_fields = ( - "created_at", - "last_modified", - "user", - "published_training", - "published_at", - ) - swagger_schema_fields = { - "example": { - "dataset": 1, - "name": "YOLOv8 Building Model v1", - "description": "Building detection model trained on Kathmandu imagery", - "base_model": "YOLO_V8_V1", - "status": -1, - } - } - - def __init__(self, *args, **kwargs): - super(ModelSerializer, self).__init__(*args, **kwargs) - request = self.context.get("request") - if ( - request - and request.resolver_match - and request.resolver_match.kwargs.get("pk") - ): - self.fields["dataset"] = DatasetSerializer(read_only=True) - - def validate_status(self, value): - if self.instance is None and value != Model.ModelStatus.DRAFT: - raise serializers.ValidationError( - "New models can only be created in DRAFT status. Update to PUBLISHED or ARCHIVED after creation." - ) - return value - - def get_thumbnail_url(self, obj): - training = Training.objects.filter(id=obj.published_training).first() - - if training: - if training.source_imagery: - aoi = AOI.objects.filter(dataset=obj.dataset).first() - if aoi and aoi.geom: - centroid = aoi.geom.centroid.coords - try: - tile = mercantile.tile(centroid[0], centroid[1], zoom=18) - return training.source_imagery.format(x=tile.x, y=tile.y, z=18) - except Exception: - pass - return None - - def get_accuracy(self, obj): - training = Training.objects.filter(id=obj.published_training).first() - if training: - return training.accuracy - return None - - -class BaseCentroidSerializer(GeoFeatureModelSerializer): - geometry = serializers.SerializerMethodField() - - def get_aoi_centroid(self, dataset_id): - """Common method to get AOI centroid for a dataset.""" - aoi = AOI.objects.filter(dataset=dataset_id).first() - if aoi and aoi.geom: - return { - "type": "Point", - "coordinates": aoi.geom.centroid.coords, - } - return None - - -class ModelCentroidSerializer(BaseCentroidSerializer): - mid = serializers.IntegerField(source="id") - - class Meta: - model = Model - geo_field = "geometry" - # id_field = "mid" - fields = ("mid", "geometry") - - def get_geometry(self, obj): - return self.get_aoi_centroid(obj.dataset.id) - - -class DatasetCentroidSerializer(BaseCentroidSerializer): - did = serializers.IntegerField(source="id") - - class Meta: - model = Dataset - geo_field = "geometry" - # id_field = "did" - fields = ("did", "name", "geometry") - - def get_geometry(self, obj): - return self.get_aoi_centroid(obj.id) - - -class PredictionCentroidSerializer(GeoFeatureModelSerializer): - centroid = serializers.SerializerMethodField() - - class Meta: - model = Prediction - geo_field = "centroid" - fields = ("id", "centroid") - - def get_centroid(self, obj): - if obj.geom: - centroid = obj.geom.centroid - return { - "type": "Point", - "coordinates": centroid.coords, - } - return None - - -class AOISerializer(GeoFeatureModelSerializer): - id = serializers.IntegerField(read_only=True) - - class Meta: - model = AOI - geo_field = "geom" - id_field = "id" - fields = [ - "id", - "dataset", - "geom", - "label_status", - "label_fetched", - "created_at", - "last_modified", - "user", - ] - read_only_fields = ( - "created_at", - "last_modified", - "label_fetched", - "label_status", - "user", - ) - swagger_schema_fields = { - "example": { - "dataset": 1, - "geom": { - "type": "Polygon", - "coordinates": [ - [ - [85.3240, 27.7172], - [85.3250, 27.7172], - [85.3250, 27.7182], - [85.3240, 27.7182], - [85.3240, 27.7172], - ] - ], - }, - } - } - - def create(self, validated_data): - request = self.context.get("request") - if request and hasattr(request, "user"): - validated_data["user"] = request.user - return super().create(validated_data) - - def update(self, instance, validated_data): - request = self.context.get("request") - if request and hasattr(request, "user"): - validated_data["user"] = request.user - return super().update(instance, validated_data) - - -class LabelSerializer(GeoFeatureModelSerializer): - id = serializers.IntegerField(read_only=True) - - class Meta: - model = Label - geo_field = "geom" - id_field = "id" - fields = [ - "id", - "aoi", - "geom", - "osm_id", - "tags", - "created_at", - ] - - -class LabelFileSerializer(GeoFeatureModelSerializer): - class Meta: - model = Label - geo_field = "geom" - id_field = False - fields = ("osm_id", "tags") - - -class ImageDownloadSerializer(serializers.Serializer): - dataset_id = serializers.IntegerField(required=True) - zoom_level = serializers.ListField(required=True) - - class Meta: - fields = ("dataset_id", "source", "zoom_level") - - def validate(self, data): - """ - Check supplied data - """ - for i in data["zoom_level"]: - if int(i) < 19 or int(i) > 21: - from .exceptions import handle_validation_error - - raise handle_validation_error( - "zoom_level", "Zoom level must be between 19-21", i - ) - return data - - -class PredictionParamSerializer(serializers.Serializer): - bbox = serializers.ListField(child=serializers.FloatField(), required=True) - model_id = serializers.IntegerField(required=True) - zoom_level = serializers.IntegerField(required=True) - orthogonalize = serializers.BooleanField(required=False) - source = serializers.URLField(required=False) - # configs - confidence = serializers.IntegerField(required=False) - # for josm q - ortho_max_angle_change_deg = serializers.IntegerField(required=False) - ortho_skew_tolerance_deg = serializers.IntegerField(required=False) - # for vectorization - tolerance = serializers.FloatField(required=False) - area_threshold = serializers.FloatField(required=False) - tile_overlap_distance = serializers.FloatField(required=False) - - class Meta: - swagger_schema_fields = { - "example": { - "bbox": [85.3240, 27.7172, 85.3250, 27.7182], - "model_id": 1, - "zoom_level": 20, - "confidence": 50, - "source": "https://tiles.openaerialmap.org/62dbd947dd564e0c8b63a91e/0/62dbd947dd564e0c8b63a91f/{z}/{x}/{y}.png", - } - } - - def validate_ortho_max_angle_change_deg(self, value): - if value is not None: - if value < 0 or value > 45: - raise serializers.ValidationError( - f"Invalid Max Angle Change: {value}, Should be between 0 and 45" - ) - return value - - def validate_ortho_skew_tolerance_deg(self, value): - if value is not None: - if value < 0 or value > 45: - raise serializers.ValidationError( - f"Invalid Skew Tolerance: {value}, Should be between 0 and 45" - ) - return value - - def validate_tolerance(self, value): - if value is not None: - if value < 0 or value > 10: - raise serializers.ValidationError( - f"Invalid Tolerance: {value}, Should be between 0 and 10" - ) - return value - - def validate_tile_overlap_distance(self, value): - if value is not None: - if value < 0 or value > 1: - raise serializers.ValidationError( - f"Invalid Tile Overlap Distance : {value}, Should be between 0 and 1" - ) - return value - - def validate_area_threshold(self, value): - if value is not None: - if value < 0 or value > 20: - raise serializers.ValidationError( - f"Invalid Area Threshold: {value}, Should be between 0 and 20" - ) - return value - - def validate(self, data): - """ - Check supplied data - """ - if "confidence" in data: - if data["confidence"] < 0 or data["confidence"] > 100: - raise serializers.ValidationError( - f"""Invalid Confidence threshold : {data["confidence"]}, Should be between 0-100""" - ) - if len(data["bbox"]) != 4: - raise serializers.ValidationError("Not a valid bbox") - if data["zoom_level"] < 18 or data["zoom_level"] > 22: - raise serializers.ValidationError( - f"""Invalid Zoom level : {data["zoom_level"]}, Supported between 18-22""" - ) - - if "ortho_max_angle_change_deg" in data: - data["ortho_max_angle_change_deg"] = ( - self.validate_ortho_max_angle_change_deg( - data["ortho_max_angle_change_deg"] - ) - ) - - if "ortho_skew_tolerance_deg" in data: - data["ortho_skew_tolerance_deg"] = self.validate_ortho_skew_tolerance_deg( - data["ortho_skew_tolerance_deg"] - ) - - if "tolerance" in data: - data["tolerance"] = self.validate_tolerance(data["tolerance"]) - - if "area_threshold" in data: - data["area_threshold"] = self.validate_area_threshold( - data["area_threshold"] - ) - return data - - -class BannerSerializer(serializers.ModelSerializer): - class Meta: - model = Banner - fields = [ - "id", - "message", - "start_date", - "end_date", - ] - swagger_schema_fields = { - "example": { - "message": "System maintenance scheduled for Dec 25, 2025", - "start_date": "2025-12-25T00:00:00Z", - "end_date": "2025-12-25T23:59:59Z", - } - } - - -class UserStatsSerializer(serializers.ModelSerializer): - models_count = serializers.SerializerMethodField() - datasets_count = serializers.SerializerMethodField() - feedbacks_count = serializers.SerializerMethodField() - approved_predictions_count = serializers.SerializerMethodField() - profile_completion_percentage = serializers.SerializerMethodField() - unread_notifications_count = serializers.SerializerMethodField() - - class Meta: - model = OsmUser - fields = [ - "osm_id", - "username", - "email", - "date_joined", - "last_login", - "email_verified", - "img_url", - "notifications_delivery_methods", - "newsletter_subscription", - "account_deletion_requested", - "models_count", - "datasets_count", - "feedbacks_count", - "approved_predictions_count", - "profile_completion_percentage", - "unread_notifications_count", - ] - read_only_fields = [ - "osm_id", - "username", - "date_joined", - "img_url", - "email_verified", - "models_count", - "datasets_count", - "feedbacks_count", - "approved_predictions_count", - "profile_completion_percentage", - "unread_notifications_count", - ] - - def get_models_count(self, obj): - return Model.objects.filter(user=obj).count() - - def get_datasets_count(self, obj): - return Dataset.objects.filter(user=obj).count() - - def get_feedbacks_count(self, obj): - return Feedback.objects.filter(user=obj, action="REJECT").count() - - def get_approved_predictions_count(self, obj): - return Feedback.objects.filter(user=obj, action="ACCEPT").count() - - def get_profile_completion_percentage(self, obj): - profile_percentage = 25 - if obj.img_url is not None and obj.img_url != "": - profile_percentage += 25 - if obj.email is not None and obj.email != "": - profile_percentage += 25 - if obj.email_verified: - profile_percentage += 25 - return profile_percentage - - def get_unread_notifications_count(self, obj): - return UserNotification.objects.filter(user=obj, is_read=False).count() - - -class UserNotificationSerializer(serializers.ModelSerializer): - related_obj = serializers.SerializerMethodField() - - class Meta: - model = UserNotification - fields = ( - "id", - "is_read", - "created_at", - "read_at", - "message", - "related_obj", - ) - read_only_fields = ( - "id", - "created_at", - "read_at", - "message", - "related_obj", - ) - - def get_related_obj(self, obj): - if obj.related_object: - return { - "id": obj.related_object.id, - "type": type(obj.related_object).__name__, - "model": ( - obj.related_object.model.id - if hasattr(obj.related_object, "model") - else None - ), - } - return None - - -class TrainingSerializer(serializers.ModelSerializer): - user = UserSerializer(read_only=True) - multimasks = serializers.BooleanField(required=False, default=False) - input_contact_spacing = serializers.IntegerField( - required=False, default=8, min_value=0, max_value=20 - ) - input_boundary_width = serializers.IntegerField( - required=False, default=3, min_value=0, max_value=10 - ) - - class Meta: - model = Training - fields = [ - "id", - "model", - "source_imagery", - "description", - "created_at", - "status", - "task_id", - "zoom_level", - "user", - "started_at", - "finished_at", - "accuracy", - "epochs", - "chips_length", - "batch_size", - "freeze_layers", - "centroid", - "multimasks", - "input_contact_spacing", - "input_boundary_width", - ] - read_only_fields = ( - "created_at", - "status", - "user", - "started_at", - "finished_at", - "accuracy", - ) - swagger_schema_fields = { - "example": { - "model": 1, - "description": "Training run with 50 epochs", - "zoom_level": [18, 19, 20], - "epochs": 50, - "batch_size": 8, - "freeze_layers": False, - "source_imagery": "https://tiles.openaerialmap.org/62dbd947dd564e0c8b63a91e/0/62dbd947dd564e0c8b63a91f/{z}/{x}/{y}.png", - "multimasks": False, - "input_contact_spacing": 8, - "input_boundary_width": 3, - } - } - - def create(self, validated_data): - import logging - - from django.shortcuts import get_object_or_404 - from rest_framework.exceptions import ValidationError - - from .models import AOI, Label - from .tasks import train_model - from .utils import validate_training_params - - model_id = validated_data["model"].id - existing_trainings = Training.objects.filter(model_id=model_id).exclude( - status__in=["FINISHED", "FAILED"] - ) - if existing_trainings.exists(): - raise ValidationError( - "Another training is already running or submitted for this model." - ) - - model = get_object_or_404(Model, id=model_id) - if not Label.objects.filter( - aoi__in=AOI.objects.filter(dataset=model.dataset) - ).exists(): - raise ValidationError( - "Error: No labels associated with the model, Create AOI & Labels for Dataset" - ) - - epochs = validated_data["epochs"] - batch_size = validated_data["batch_size"] - zoom_level = validated_data["zoom_level"] - validate_training_params(model, epochs, batch_size, zoom_level) - - user = self.context["request"].user - validated_data["user"] = user - - multimasks = validated_data.get("multimasks", False) - input_contact_spacing = validated_data.get("input_contact_spacing", 0.75) - input_boundary_width = validated_data.get("input_boundary_width", 0.5) - - pop_keys = ["multimasks", "input_contact_spacing", "input_boundary_width"] - for key in pop_keys: - if key in validated_data.keys(): - validated_data.pop(key) - - instance = Training.objects.create(**validated_data) - - task = train_model.apply_async( - kwargs={ - "dataset_id": instance.model.dataset.id, - "training_id": instance.id, - "epochs": instance.epochs, - "batch_size": instance.batch_size, - "zoom_level": instance.zoom_level, - "source_imagery": instance.source_imagery - or instance.model.dataset.source_imagery, - "freeze_layers": instance.freeze_layers, - "multimasks": multimasks, - "input_contact_spacing": input_contact_spacing, - "input_boundary_width": input_boundary_width, - }, - queue=( - "ramp_training" - if instance.model.base_model == "RAMP" - else "yolo_training" - ), - ) - logging.info("Record saved in queue") - - if not instance.source_imagery: - instance.source_imagery = instance.model.dataset.source_imagery - if multimasks: - instance.description += f" Multimask params (ct/bw): {input_contact_spacing}/{input_boundary_width}" - instance.task_id = task.id - instance.save() - logging.info(f"Training request queued with task ID {task.id}") - return instance - - def to_representation(self, instance): - ret = super().to_representation(instance) - request = self.context.get("request") - if request and request.method.upper() == "GET": - ret["model"] = ModelMetaSerializer( - instance.model, context=self.context - ).data - return ret - - -class FeedbackSerializer(GeoFeatureModelSerializer, BaseModelSerializer): - id = serializers.IntegerField(read_only=True) - - class Meta: - model = Feedback - geo_field = "geom" - id_field = "id" - fields = [ - "id", - "geom", - "training", - "action", - "created_at", - "config", - "comments", - "user", - ] - read_only_fields = ("created_at", "user") - partial = True - swagger_schema_fields = { - "example": { - "geom": { - "type": "Polygon", - "coordinates": [ - [ - [85.3240, 27.7172], - [85.3250, 27.7172], - [85.3250, 27.7182], - [85.3240, 27.7182], - [85.3240, 27.7172], - ] - ], - }, - "training": 1, - "action": "ACCEPT", - "comments": "Good detection", - "config": {"confidence": 50}, - } - } - - def to_representation(self, instance): - ret = super().to_representation(instance) - ret["properties"]["id"] = instance.id - return ret - - -class MapswipeProjectCreateSerializer(serializers.Serializer): - topic = serializers.CharField(max_length=255) - region = serializers.CharField(max_length=255) - description = serializers.CharField() - instruction = serializers.CharField() - look_for = serializers.CharField(max_length=255, default="buildings") - prediction_id = serializers.IntegerField(required=False) - geojson_url = serializers.URLField() - tms_url = serializers.URLField() - cover_image = serializers.ImageField(required=False) diff --git a/backend/core/tasks.py b/backend/core/tasks.py deleted file mode 100644 index f8fdddd43..000000000 --- a/backend/core/tasks.py +++ /dev/null @@ -1,773 +0,0 @@ -import asyncio -import json -import logging -import os -import pathlib -import re -import shutil -import subprocess -import sys -import tempfile -import time -from contextlib import contextmanager -from datetime import datetime -from urllib.parse import urlparse - -import requests -from celery import shared_task -from django.conf import settings -from django.shortcuts import get_object_or_404 -from django.utils import timezone - -from core.models import ( - AOI, - Label, - Model, - Prediction, - Training, -) -from core.serializers import ( - AOISerializer, - LabelFileSerializer, -) -from core.utils import bbox, is_dir_empty - -from .utils import ( - S3Uploader, - check_and_convert_crs, - copyfile, - download_and_decompress_file, - geojson_to_fgb, - get_file_count, - safe_copytree, - safe_rmtree, - send_notification, - setup_ramp, - shift_labels_by_offset, - write_json, - xz_folder, -) - -DEFAULT_TILE_SIZE = 256 - - -@contextmanager -def capture_output_to_file(log_path): - original_stdout, original_stderr = sys.stdout, sys.stderr - - root_logger = logging.getLogger() - original_handlers = root_logger.handlers.copy() - original_levels = {handler: handler.level for handler in original_handlers} - - f = None - file_handler = None - - try: - f = open(log_path, "a", encoding="utf-8") - sys.stdout = sys.stderr = f - - file_handler = logging.StreamHandler(f) - root_logger.addHandler(file_handler) - - for handler in original_handlers: - root_logger.removeHandler(handler) - - yield - finally: - sys.stdout, sys.stderr = original_stdout, original_stderr - - if file_handler is not None and file_handler in root_logger.handlers: - try: - root_logger.removeHandler(file_handler) - except Exception: - pass - - for handler in original_handlers: - if handler not in root_logger.handlers: - try: - root_logger.addHandler(handler) - except Exception: - pass - - if f is not None and not f.closed: - f.close() - - -class print_time: - def __init__(self, name): - self.name = name - self.logger = logging.getLogger(__name__) - - def __enter__(self): - self.start = time.perf_counter() - return self - - def __exit__(self, *args): - self.logger.info( - f"{self.name} took {round(time.perf_counter() - self.start, 2)}s" - ) - - -class Trainer: - def __init__(self, model_type, *args): - self.model_type = model_type - self.args = args - - def run(self, output_path): - return ( - self._train_yolo(output_path) - if self.model_type.startswith("YOLO") - else self._train_ramp(output_path) - ) - - def _train_yolo(self, output_path): - from hot_fair_utilities import preprocess - from hot_fair_utilities.preprocessing.yolo_v8_v1.yolo_format import ( - yolo_format as v1, - ) - from hot_fair_utilities.preprocessing.yolo_v8_v2.yolo_format import ( - yolo_format as v2, - ) - from hot_fair_utilities.training.yolo_v8_v1.train import train as train_v1 - from hot_fair_utilities.training.yolo_v8_v2.train import train as train_v2 - - ( - inst, - dataset_id, - input_path, - labels, - aois, - epochs, - batch_size, - freeze_layers, - multimasks, - *_, - ) = self.args - base = os.path.join( - settings.YOLO_HOME, - "yolo-data", - str(dataset_id), - datetime.now().strftime("%Y%m%dT%H%M"), - ) - safe_rmtree(base) - prep = f"/{base}/preprocessed" - model_dir = os.path.join(base, self.model_type) - yaml = os.path.join(model_dir, "yolo_dataset.yaml") - out = output_path - safe_copytree(input_path, os.path.join(base, "input")) - preprocess( - input_path=os.path.join(base, "input"), - output_path=prep, - rasterize=True, - rasterize_options=["binary"], - georeference_images=True, - multimasks=(multimasks or self.model_type == "YOLO_V8_V1"), - epsg=4326 if self.model_type == "YOLO_V8_V2" else 3857, - input_contact_spacing=4, - input_boundary_width=2, - ) - - inst.chips_length = get_file_count(os.path.join(prep, "chips")) - inst.save() - - with print_time("YOLO format"): - if self.model_type == "YOLO_V8_V1": - v1( - preprocessed_dirs=prep, - yolo_dir=model_dir, - multimask=True, - p_val=0.05, - ) - else: - v2(input_path=prep, output_path=model_dir) - - train_fn = train_v1 if self.model_type == "YOLO_V8_V1" else train_v2 - weights = ( - "yolov8s_v1-seg-best.pt" - if self.model_type == "YOLO_V8_V1" - else "yolov8s_v2-seg.pt" - ) - - model_path, acc = train_fn( - data=base, - weights=os.path.join(settings.YOLO_HOME, weights), - epochs=epochs, - batch_size=batch_size, - pc=2.0, - output_path=model_dir, - dataset_yaml_path=yaml, - ) - - safe_rmtree(out) - os.makedirs(out) - copyfile(model_path, os.path.join(out, "checkpoint.pt")) - copyfile( - os.path.join(os.path.dirname(model_path), "best.onnx"), - os.path.join(out, "checkpoint.onnx"), - ) - safe_copytree(prep, os.path.join(out, "preprocessed")) - safe_copytree(input_path, os.path.join(out, "preprocessed", "input")) - - for k in ["images", "labels"]: - safe_copytree( - os.path.join(model_dir, k), os.path.join(out, self.model_type, k) - ) - - copyfile(yaml, os.path.join(out, self.model_type, "yolo_dataset.yaml")) - copyfile( - os.path.join(pathlib.Path(model_path).parent.parent, "iou_chart.png"), - os.path.join(out, "graphs", "training_accuracy.png"), - ) - - write_json(os.path.join(out, "labels.geojson"), labels) - write_json(os.path.join(out, "aois.geojson"), aois.data) - safe_rmtree(base) - return { - "accuracy": acc, - "output_path": out, - "preprocess_output": os.path.join(out, "preprocessed"), - } - - def _train_ramp(self, output_path): - os.environ["TF_XLA_FLAGS"] = "--tf_xla_auto_jit=-1" - import tensorflow as tf - from hot_fair_utilities import preprocess - from hot_fair_utilities.training.ramp import train - - tf.config.optimizer.set_jit( - False - ) # Disable XLA for RAMP training , bug in tensorflow 2.9.* - - # os.environ["TF_XLA_FLAGS"] = "--tf_xla_auto_jit=-1" - - setup_ramp() - ( - inst, - dataset_id, - input_path, - labels, - aois, - epochs, - batch_size, - freeze_layers, - multimasks, - spacing, - width, - ) = self.args - base = os.path.join( - settings.RAMP_HOME, - "ramp-data", - str(dataset_id), - datetime.now().strftime("%Y%m%dT%H%M"), - ) - safe_rmtree(base) - prep = f"/{base}/preprocessed" - out = output_path - safe_copytree(input_path, os.path.join(base, "input")) - preprocess( - input_path=os.path.join(base, "input"), - output_path=prep, - rasterize=True, - rasterize_options=["binary"], - georeference_images=True, - multimasks=multimasks, - input_contact_spacing=spacing, - input_boundary_width=width, - ) - - inst.chips_length = get_file_count(os.path.join(prep, "chips")) - inst.save() - - acc, model_path = train( - input_path=prep, - output_path=os.path.join(base, "train"), - epoch_size=epochs, - batch_size=batch_size, - model="ramp", - model_home=os.environ["RAMP_HOME"], - freeze_layers=freeze_layers, - multimasks=multimasks, - ) - - safe_rmtree(out) - os.makedirs(out) - safe_copytree(model_path, os.path.join(out, "checkpoint.tf")) - safe_copytree(prep, os.path.join(out, "preprocessed")) - safe_copytree(input_path, os.path.join(out, "preprocessed", "input")) - copyfile( - os.path.join(base, "train", "graphs", "training_accuracy.png"), - os.path.join(out, "graphs", "training_accuracy.png"), - ) - - model = tf.keras.models.load_model(os.path.join(out, "checkpoint.tf")) - model.save(os.path.join(out, "checkpoint.h5")) - - tflite_model = tf.lite.TFLiteConverter.from_keras_model(model).convert() - with open(os.path.join(out, "checkpoint.tflite"), "wb") as f: - f.write(tflite_model) - - write_json(os.path.join(out, "labels.geojson"), labels) - write_json(os.path.join(out, "aois.geojson"), aois.data) - safe_rmtree(base) - return {"accuracy": acc, "output_path": out, "preprocess_output": prep} - - -def upload_to_s3(path, parent=None): - return S3Uploader( - bucket_name=settings.BUCKET_NAME, - aws_access_key_id=settings.AWS_ACCESS_KEY_ID, - aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY, - parent=parent or settings.PARENT_BUCKET_FOLDER, - ).upload(path) - - -def prepare_data(inst, dataset_id, zoom_level, imagery, input_path, imagery_type): - from geomltoolkits.downloader import tms as TMSDownloader - - safe_rmtree(input_path) - os.makedirs(input_path) - - aois = AOI.objects.filter(dataset=dataset_id) - serializer = AOISerializer - label_qs = Label.objects.filter(aoi__in=aois) - label_serializer = LabelFileSerializer - - inst.centroid = aois[0].geom.centroid - inst.save() - - for obj in aois: - for z in zoom_level: - asyncio.run( - TMSDownloader.download_tiles( - bbox=bbox(obj.geom.coords[0]), - zoom=z, - tms=imagery, - out=input_path, - georeference=False, - crs="3857", - extension="png", - is_tilejson=("TILEJSON" == imagery_type), - ) - ) - input_path = pathlib.Path(input_path) - chips_folder = input_path / "chips" - if chips_folder.exists() and chips_folder.is_dir(): - for file in chips_folder.iterdir(): - if file.is_file(): - destination = input_path / file.name - shutil.move(str(file), destination) - chips_folder.rmdir() - else: - print("[✗] 'chips' folder does not exist at:", chips_folder) - if is_dir_empty(input_path): - from .exceptions import ModelTrainingException - - raise ModelTrainingException( - message="No training images found in the specified area", - details={"area_path": str(input_path)}, - ) - - serialized = label_serializer(label_qs, many=True).data - label_path = os.path.join(input_path, "labels.geojson") - offset = inst.model.dataset.offset - - if ( - isinstance(offset, list) - and len(offset) == 2 - and any(float(o) != 0 for o in offset) - ): - shift_labels_by_offset(serialized, offset).to_file( - label_path, driver="GeoJSON", encoding="utf-8" - ) - else: - write_json(label_path, serialized) - - with open(label_path) as f: - return input_path, serializer(aois, many=True), json.load(f) - - -def run_tippecanoe(out): - logger = logging.getLogger(__name__) - try: - check_and_convert_crs(os.path.join(out, "labels.geojson")) - - layers = [] - if os.path.exists(os.path.join(out, "labels_points.geojson")): - layers.append(f'-L labels_points:"{out}/labels_points.geojson"') - - layers.append(f'-L labels:"{out}/labels.geojson"') - - layers.append(f'-L aois:"{out}/aois.geojson"') - - layers_str = " ".join(layers) - - subprocess.check_output( - f"tippecanoe -o {out}/meta.pmtiles -Z7 -z20 " - f"{layers_str} " - "--force --read-parallel -rg --drop-densest-as-needed", - shell=True, - preexec_fn=os.setsid, - timeout=60 * 60 * 1, # 1 hour timeout - ) - except subprocess.CalledProcessError as e: - logger.error("Vector tiles creation failed: %s", e.stderr.decode()) - raise - - -def finalize(inst, out, prep, acc): - for f in ["aois.geojson", "labels.geojson"]: - copyfile(os.path.join(out, f), os.path.join(prep, f)) - logger = logging.getLogger(__name__) - logger.info(f"Setting up output path {out}") - os.makedirs(out, exist_ok=True) - xz_folder(prep, os.path.join(out, "preprocessed.tar.xz"), remove_original=True) - if settings.USE_S3_TO_UPLOAD_MODELS: - upload_to_s3(out, parent=f"{settings.PARENT_BUCKET_FOLDER}/training_{inst.id}") - inst.accuracy = float(acc) - inst.finished_at = timezone.now() - inst.status = "FINISHED" - inst.save() - - -@shared_task(time_limit=settings.CELERY_TASK_TIME_LIMIT) -def train_model( - dataset_id, - training_id, - epochs, - batch_size, - zoom_level, - source_imagery, - freeze_layers=False, - multimasks=False, - input_contact_spacing=8, - input_boundary_width=3, -): - inst = get_object_or_404(Training, id=training_id) - model = get_object_or_404(Model, id=inst.model.id) - inst.status, inst.started_at, inst.task_id = ( - "RUNNING", - timezone.now(), - train_model.request.id, - ) - inst.save() - send_notification(inst, "Started") - - log_file = os.path.join(settings.LOG_PATH, f"run_{inst.task_id}.log") - os.makedirs(settings.LOG_PATH, exist_ok=True) - logger = logging.getLogger(__name__) - logger.setLevel(logging.INFO) - - file_handler = logging.FileHandler(log_file, encoding="utf-8") - file_handler.setFormatter( - logging.Formatter("%(asctime)s - %(levelname)s - %(message)s") - ) - logger.addHandler(file_handler) - - try: - logger.info("Starting model training task") - with capture_output_to_file(log_file): - input_path = os.path.join( - settings.TRAINING_WORKSPACE, - f"dataset_{dataset_id}", - "input", - f"training_{training_id}", - ) - logger.info(f"Setting up input path {input_path}") - os.makedirs(input_path, exist_ok=True) - - input_path, aoi_ser, labels = prepare_data( - inst, - dataset_id, - zoom_level, - source_imagery, - input_path, - inst.get_source_imagery_type, - ) - output_path = os.path.join( - settings.TRAINING_WORKSPACE, - f"dataset_{dataset_id}", - "output", - f"training_{training_id}", - ) - args = ( - inst, - dataset_id, - input_path, - labels, - aoi_ser, - epochs, - batch_size, - freeze_layers, - multimasks, - input_contact_spacing, - input_boundary_width, - ) - result = Trainer(model.base_model, *args).run(output_path) - run_tippecanoe(result["output_path"]) - finalize( - inst, - result["output_path"], - result["preprocess_output"], - result["accuracy"], - ) - logger.info(f"Cleaning up input path {input_path}") - safe_rmtree(input_path) - logger.info("Training completed successfully") - send_notification(inst, "Completed") - return result - except Exception as ex: - logger.exception("Training failed") - inst.status, inst.finished_at = "FAILED", timezone.now() - inst.save() - send_notification(inst, "Failed") - raise ex - finally: - logger.removeHandler(file_handler) - file_handler.close() - - -@shared_task(time_limit=settings.CELERY_TASK_TIME_LIMIT) -def predict_area(prediction_request_id, folder=None): - from predictor import predict - from predictor.models import PredictionRequest - - inst = get_object_or_404(Prediction, id=prediction_request_id) - log_file = os.path.join(settings.LOG_PATH, f"run_{inst.task_id}.log") - os.makedirs(settings.LOG_PATH, exist_ok=True) - logger = logging.getLogger(__name__) - logger.setLevel(logging.INFO) - - file_handler = logging.FileHandler(log_file, encoding="utf-8") - file_handler.setFormatter( - logging.Formatter("%(asctime)s - %(levelname)s - %(message)s") - ) - logger.addHandler(file_handler) - temp_checkpoint_path = None - temp_checkpoint_dir = None - try: - result = {} - logger.info("Starting model prediction task") - with capture_output_to_file(log_file): - send_notification(inst, "Started") - inst.status, inst.started_at, inst.task_id = ( - "RUNNING", - timezone.now(), - predict_area.request.id, - ) - - checkpoint_path = inst.config.get("checkpoint") - checkpoint_url = urlparse(checkpoint_path) - is_url = checkpoint_url.scheme in {"http", "https"} - - if is_url: - logger.info(f"Checkpoint URL provided: {checkpoint_path}") - elif os.path.exists(checkpoint_path): - logger.info(f"Checkpoint found at {checkpoint_path}") - else: - logger.warning( - f"Checkpoint not found at {checkpoint_path}, trying to download it from s3" - ) - m = re.search( - r"training_(\d+)[/\\]([^/\\]+\.(?:tflite|h5))$", - checkpoint_path, - re.IGNORECASE, - ) - training_id = int(m.group(1)) if m else None - filename = m.group(2) if m else None - if not training_id or not filename: - raise ValueError(f"Invalid checkpoint path: {checkpoint_path}") - model_download_url = ( - settings.API_BASE_URL - + f"/workspace/download/training_{training_id}/{filename}" - ) - try: - temp_checkpoint_dir = tempfile.mkdtemp( - prefix="checkpoint_fairpredictor_" - ) - temp_checkpoint_path = os.path.join(temp_checkpoint_dir, filename) - - r = requests.get(model_download_url, timeout=60) - r.raise_for_status() - with open(temp_checkpoint_path, "wb") as f: - f.write(r.content) - - checkpoint_path = temp_checkpoint_path - inst.config["checkpoint"] = checkpoint_path - except Exception as e: - logger.error( - f"Failed to download checkpoint from {model_download_url}: {str(e)}" - ) - raise FileNotFoundError( - f"Checkpoint not found at {checkpoint_path} and failed to download from {model_download_url}" - ) - - folder = ( - f"prediction_{inst.id}" if folder is None else f"prediction/{folder}" - ) - inst.config["folder"] = folder - inst.save() - if not inst.config.get("bbox"): - inst.config["bbox"] = [ - 0, - 0, - 0, - 0, - ] # add default bbox to pass through validation , TODO : Fix this , improve the pydantic model at fairpredictor side - params = PredictionRequest(**inst.config) - out = os.path.join(settings.PREDICTION_WORKSPACE, str(inst.id)) - os.makedirs(out, exist_ok=True) - predictions = asyncio.run( - predict( - geojson=inst.geom.geojson, - model_path=params.checkpoint, - zoom_level=params.zoom_level, - tms_url=params.source, - confidence=params.confidence / 100, - tolerance=params.tolerance, - area_threshold=params.area_threshold, - orthogonalize=params.orthogonalize, - ortho_skew_tolerance_deg=params.ortho_skew_tolerance_deg, - ortho_max_angle_change_deg=params.ortho_max_angle_change_deg, - get_predictions_as_points=True, # True by default for now , however once it is implemented in the frontend make it parameterized #todo - output_path=out, - ) - ) - write_json( - os.path.join(out, "aois.geojson"), - json.loads(inst.geom.geojson), - ) - shutil.copy( - os.path.join(out, "results", "geojson", "predictions.geojson"), - os.path.join(out, "labels.geojson"), - ) - shutil.copy( - os.path.join(out, "results", "geojson", "predictions_points.geojson"), - os.path.join(out, "labels_points.geojson"), - ) - shutil.rmtree( - os.path.join(out, "results") - ) # todo : later on after implementation with the frontend keep this - # write_json( - # os.path.join(out, "labels.geojson"), - # predictions, - # ) - - result["len_predictions"] = len(predictions["features"]) - if len(predictions["features"]) != 0: - print("No features found in the predictions geojson") - geojson_to_fgb( - os.path.join(out, "labels.geojson"), os.path.join(out, "labels.fgb") - ) - geojson_to_fgb( - os.path.join(out, "labels_points.geojson"), - os.path.join(out, "labels_points.fgb"), - ) - run_tippecanoe(out) - - if settings.USE_S3_TO_UPLOAD_MODELS: - s3_out_path = f"{settings.PARENT_BUCKET_FOLDER}/{folder}" - upload_to_s3( - out, - parent=s3_out_path, - ) - inst.status = "FINISHED" - inst.finished_at = timezone.now() - if inst.result is None: - inst.result = {} - inst.result["count"] = len(predictions["features"]) - send_notification(inst, "Finished") - inst.save() - base_url = settings.API_BASE_URL + "/workspace/download/" + folder - # result["output"] = base_url - result["output"] = { - "aois": f"{base_url}/aois.geojson", - "predictions": f"{base_url}/labels.geojson", - "predictions_points": f"{base_url}/labels_points.geojson", - "pmtiles": f"{base_url}/meta.pmtiles", - } - inst.result["output"] = result["output"] - inst.save() - logger.info("Prediction completed successfully") - return result - except Exception as ex: - logger.exception("Prediction failed") - inst.status, inst.finished_at = "FAILED", timezone.now() - inst.save() - send_notification(inst, "Failed") - raise ex - finally: - if temp_checkpoint_dir: - shutil.rmtree(temp_checkpoint_dir, ignore_errors=True) - logger.removeHandler(file_handler) - file_handler.close() - - -@shared_task(time_limit=settings.CELERY_TASK_TIME_LIMIT) -def process_mapswipe_results(prediction_request_id): - - inst = get_object_or_404(Prediction, id=prediction_request_id) - - folder = inst.config["folder"] - if "exportAggregatedResultsWithGeometry" in inst.result.get("mapswipe", {}): - try: - geojson_url = inst.result["mapswipe"][ - "exportAggregatedResultsWithGeometry" - ]["file"].get("url", None) - if geojson_url: - inst.result["mapswipe"]["pmtiles_conversion_status"] = "STARTED" - inst.save() - base_mapswipe_path = os.path.join( - settings.PREDICTION_WORKSPACE, str(inst.id), "mapswipe" - ) - os.makedirs(base_mapswipe_path, exist_ok=True) - result_path = download_and_decompress_file( - geojson_url, - os.path.join(base_mapswipe_path, "mapswipe_results_geom.geojson"), - ) - try: - if result_path: - check_and_convert_crs(result_path) - layers = [] - layers.append(f'-L results:"{result_path}"') - - # layers.append(f'-L aois:"{out}/aois.geojson"') in case if we need other layers on future - - layers_str = " ".join(layers) - - subprocess.check_output( - f"tippecanoe -o {os.path.join(base_mapswipe_path, 'mapswipe_results.pmtiles')} -Z7 -z20 " - f"{layers_str} " - "--force --read-parallel -rg --drop-densest-as-needed", - shell=True, - preexec_fn=os.setsid, - timeout=60 * 60 * 1, # 1 hour timeout, - ) - except subprocess.CalledProcessError as e: - raise - if settings.USE_S3_TO_UPLOAD_MODELS: - upload_to_s3( - base_mapswipe_path, - parent=f"{settings.PARENT_BUCKET_FOLDER}/{folder}/mapswipe", - ) - result_base_url = ( - settings.API_BASE_URL - + "/workspace/download/" - + folder - + "/mapswipe" - ) - inst.result["mapswipe"]["post_processed"] = { - "geom": f"{result_base_url}/mapswipe_results_geom.geojson", - "pmtiles": f"{result_base_url}/mapswipe_results.pmtiles", - } - inst.save() - inst.result["mapswipe"]["pmtiles_conversion_status"] = "FINISHED" - inst.save() - - except Exception as e: - logging.error( - f"Error in processing MapSwipe results for prediction {prediction_request_id}: {str(e)}" - ) - inst.result["mapswipe"]["pmtiles_conversion_status"] = "FAILED" - inst.save() - raise e - return inst.result["mapswipe"] diff --git a/backend/core/tests.py b/backend/core/tests.py deleted file mode 100644 index 7ce503c2d..000000000 --- a/backend/core/tests.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.test import TestCase - -# Create your tests here. diff --git a/backend/core/urls.py b/backend/core/urls.py deleted file mode 100644 index f22f54153..000000000 --- a/backend/core/urls.py +++ /dev/null @@ -1,114 +0,0 @@ -from django.conf import settings -from django.conf.urls import include -from django.urls import path -from rest_framework import routers - -from .views import ( - AOIViewSet, - BannerViewSet, - ConflateGeojson, - DatasetCentroidView, - DatasetViewSet, - FeedbackViewset, - GenerateGpxView, - LabelUploadView, - LabelViewSet, - MarkAllNotificationsAsRead, - MarkNotificationAsRead, - ModelCentroidView, - ModelViewSet, - PredictionCentroidView, - PredictionViewSet, - RawdataApiAOIView, - StreamFGBView, - TerminatePredictionView, - TerminateTrainingView, - TrainingViewSet, - TrainingWorkspaceDownloadView, - TrainingWorkspaceView, - UserNotificationViewSet, - UsersView, - get_kpi_stats, - health, - publish_training, - run_task_status, -) - -if settings.ENABLE_FAIR_PREDICTOR: - from .predictor_views import PredictorPredictView - -# CURD Block -router = routers.DefaultRouter() -router.register(r"dataset", DatasetViewSet) -router.register(r"aoi", AOIViewSet) -router.register(r"label", LabelViewSet) - -router.register(r"training", TrainingViewSet) -router.register(r"model", ModelViewSet) -router.register(r"feedback", FeedbackViewset) -router.register(r"banner", BannerViewSet) -router.register(r"notifications/me", UserNotificationViewSet, basename="notifications") -router.register(r"prediction", PredictionViewSet) -if settings.ENABLE_MAPSWIPE_INTEGREATION: - from .views import MapswipeProjectViewSet - - router.register( - r"mapswipe-project", MapswipeProjectViewSet, basename="mapswipe-project" - ) - - -urlpatterns = [ - path("", include(router.urls)), - path("label/osm/fetch//", RawdataApiAOIView.as_view()), - path("label/upload//", LabelUploadView.as_view(), name="label-upload"), - path("users/", UsersView.as_view(), name="user-list-view"), - path("models/centroid/", ModelCentroidView.as_view(), name="models-centroid"), - path("datasets/centroid/", DatasetCentroidView.as_view(), name="datasets-centroid"), - path( - "predictions/centroid/", - PredictionCentroidView.as_view(), - name="prediction-centroid", - ), - path("task/status//", run_task_status), - path("training/publish//", publish_training), - path( - "training/terminate//", - TerminateTrainingView.as_view(), - name="cancel_training", - ), - path( - "prediction/terminate//", - TerminatePredictionView.as_view(), - name="cancel_prediction", - ), - path("conflate/", ConflateGeojson, name="Conflate Geojson"), - path("aoi/gpx//", GenerateGpxView.as_view()), - path( - "workspace/download//", TrainingWorkspaceDownloadView.as_view() - ), - path("workspace//", TrainingWorkspaceView.as_view()), - path( - "workspace/stream/", StreamFGBView.as_view(), name="stream-fgb" - ), - path("kpi/stats/", get_kpi_stats, name="get_kpi_stats"), - path( - "notifications/mark-as-read//", - MarkNotificationAsRead.as_view(), - name="mark_notification_as_read", - ), - path( - "notifications/mark-all-as-read/", - MarkAllNotificationsAsRead.as_view(), - name="mark_all_notifications_as_read", - ), - path("health/", health, name="health"), -] - -if settings.ENABLE_FAIR_PREDICTOR: - urlpatterns.append( - path( - "fairpredictor/predict/", - PredictorPredictView.as_view(), - name="predictor-predict", - ) - ) diff --git a/backend/core/utils.py b/backend/core/utils.py deleted file mode 100644 index 6fa736954..000000000 --- a/backend/core/utils.py +++ /dev/null @@ -1,756 +0,0 @@ -# Standard Library -import concurrent.futures -import gzip -import gc -import glob -import json -import os -import shutil -import subprocess -import tarfile -import tempfile -import time -import urllib.request -import zipfile -from datetime import datetime -from pathlib import Path -from uuid import uuid4 -from xml.dom import ValidationErr -from zipfile import ZipFile -import logging -# Third-party Libraries -import boto3 -import geopandas as gpd -import requests -from botocore.exceptions import ClientError, NoCredentialsError - -# Django -from django.conf import settings -from django.core.mail import send_mail -from gpxpy.gpx import GPX, GPXTrack, GPXTrackSegment, GPXWaypoint -from shapely.affinity import translate -from tqdm import tqdm - -# Local imports -from .models import AOI, Label, UserNotification -from .serializers import LabelSerializer - -def validate_training_params(model, epochs, batch_size, zoom_level): - from .exceptions import ValidationException, handle_validation_error - - - for z in zoom_level: - if z not in settings.SUPPORTED_TRAINING_ZOOM_LEVELS: - raise handle_validation_error("zoom_level", f"Zoom level {z} is not supported", z) - if model.base_model == "RAMP": - if epochs > settings.RAMP_EPOCHS_LIMIT: - raise handle_validation_error("epochs", f"Epochs can't be greater than {settings.RAMP_EPOCHS_LIMIT} on this server", epochs) - if batch_size > settings.RAMP_BATCH_SIZE_LIMIT: - raise handle_validation_error("batch_size", f"Batch size can't be greater than {settings.RAMP_BATCH_SIZE_LIMIT} on this server", batch_size) - elif model.base_model in ["YOLO_V8_V1", "YOLO_V8_V2"]: - if epochs > settings.YOLO_EPOCHS_LIMIT: - raise handle_validation_error("epochs", f"Epochs can't be greater than {settings.YOLO_EPOCHS_LIMIT} on this server", epochs) - if batch_size > settings.YOLO_BATCH_SIZE_LIMIT: - raise handle_validation_error("batch_size", f"Batch size can't be greater than {settings.YOLO_BATCH_SIZE_LIMIT} on this server", batch_size) - - - -def km_to_degrees(km_distance, latitude=0.0): - """ - Convert kilometers to degrees for bbox validation. - - Args: - km_distance: Distance in kilometers - latitude: Latitude for longitude conversion (default 0 for equator) - - Returns: - tuple: (latitude_degrees, longitude_degrees) - - Examples: - # 100km at equator - lat_deg, lon_deg = km_to_degrees(100) # (0.899, 0.899) - - # 50km at latitude 27 (Nepal/Kathmandu area) - lat_deg, lon_deg = km_to_degrees(50, 27) # (0.449, 0.504) - """ - # 1 degree latitude ≈ 111 km everywhere - lat_degrees = km_distance / 111.0 - - # 1 degree longitude varies by latitude: 111 * cos(lat) - import math - - lon_degrees = km_distance / (111.0 * math.cos(math.radians(latitude))) - - return lat_degrees, lon_degrees - - -def degrees_to_km(degrees, latitude=0.0): - """ - Convert degrees to kilometers for human-readable display. - - Args: - degrees: Distance in degrees - latitude: Latitude for longitude conversion (default 0 for equator) - - Returns: - tuple: (latitude_km, longitude_km) - """ - import math - - lat_km = degrees * 111.0 - lon_km = degrees * 111.0 * math.cos(math.radians(latitude)) - return lat_km, lon_km - - -def s3_object_exists(bucket_name, key): - """Check if an object exists in S3.""" - try: - settings.S3_CLIENT.head_object(Bucket=bucket_name, Key=key) - return True - except ClientError as e: - if e.response["Error"]["Code"] == "404": - return False - raise - - -def download_s3_file(bucket_name, s3_key): - """Generate a presigned URL for downloading a file from S3.""" - try: - presigned_url = settings.S3_CLIENT.generate_presigned_url( - "get_object", - Params={"Bucket": bucket_name, "Key": s3_key}, - ExpiresIn=settings.PRESIGNED_URL_EXPIRY, - ) - return presigned_url - except ClientError as e: - return None - - -def handle_s3_operation(operation, *args, **kwargs): - """Generic S3 operation handler with error handling.""" - try: - return operation(*args, **kwargs) - except Exception as e: - from .exceptions import S3ServiceException - raise S3ServiceException(message="S3 operation failed", details={"operation": "get_settings.S3_CLIENT", "error": str(e)}) - - -def get_s3_metadata(bucket_name, key): - """Retrieve metadata for an S3 object.""" - response = handle_s3_operation(settings.S3_CLIENT.head_object, Bucket=bucket_name, Key=key) - return {"size": response.get("ContentLength")} - - -def get_s3_directory_size_and_length(bucket_name, prefix): - """ - Get the total size and number of files for a directory in S3. - - Args: - bucket_name (str): The S3 bucket name. - prefix (str): The prefix (path) to the directory. - - Returns: - tuple: (size, length) - size in bytes, length as number of files. - """ - total_size = 0 - total_length = 0 - paginator = settings.S3_CLIENT.get_paginator("list_objects_v2") - - for page in paginator.paginate(Bucket=bucket_name, Prefix=prefix): - total_length += len(page.get("Contents", [])) - - total_size += sum(item["Size"] for item in page.get("Contents", [])) - - return total_size, total_length - - -def get_s3_directory(bucket_name, prefix): - """List objects in an S3 directory.""" - data = {"file": {}, "dir": {}} - paginator = settings.S3_CLIENT.get_paginator("list_objects_v2") - for page in paginator.paginate(Bucket=bucket_name, Prefix=prefix, Delimiter="/"): - for obj in page.get("Contents", []): - key = obj["Key"] - data["file"][os.path.basename(key)] = {"size": obj["Size"]} - for prefix_obj in page.get("CommonPrefixes", []): - sub_prefix = prefix_obj["Prefix"] - sub_dir_size, sub_dir_len = get_s3_directory_size_and_length( - bucket_name, sub_prefix - ) - - data["dir"][os.path.basename(sub_prefix.rstrip("/"))] = { - "size": sub_dir_size, - "len": sub_dir_len, - } - return data - - -def get_local_metadata(base_dir): - """Retrieve metadata for local files or directories.""" - data = {"file": {}, "dir": {}} - if os.path.isdir(base_dir): - for entry in os.scandir(base_dir): - if entry.is_file(): - data["file"][entry.name] = {"size": entry.stat().st_size} - elif entry.is_dir(): - subdir_size = get_dir_size(entry.path) - data["dir"][entry.name] = { - "len": sum(1 for _ in os.scandir(entry.path)), - "size": subdir_size, - } - elif os.path.isfile(base_dir): - data["file"][os.path.basename(base_dir)] = { - "size": os.path.getsize(base_dir), - } - return data - - -def get_dir_size(directory): - total_size = 0 - for entry in os.scandir(directory): - if entry.is_file(): - total_size += entry.stat().st_size - elif entry.is_dir(): - total_size += get_dir_size(entry.path) - return total_size - - -def bbox(coord_list): - """_summary_ - - Args: - coord_list (_type_): Polygon coordinate list - - Returns: - list: bbox coords - - """ - box = [] - for i in (0, 1): - res = sorted(coord_list, key=lambda x: x[i]) - box.append((res[0][i], res[-1][i])) - correction = 0.000001 # need crctn because coordinate comming from js - ret = [ - box[0][0] + correction, - box[1][0] + correction, - box[0][1] - correction, - box[1][1] - correction, - ] - return ret - - -def is_dir_empty(directory_path): - return not any(os.scandir(directory_path)) - - -class RawDataAPI: - def __init__(self, BASE_API_URL): - self.BASE_API_URL = BASE_API_URL - - def request_snapshot(self, geometry): - headers = { - "accept": "application/json", - "Content-Type": "application/json", - "Referer": "fAIr", - } - # Lets start with buildings for now - payload = { - "geometry": json.loads(geometry), - "filters": {"tags": {"all_geometry": {"join_or": {"building": []}}}}, - "geometryType": ["polygon"], - "useStWithin": "false", - } - response = requests.post( - f"{self.BASE_API_URL}/snapshot/", data=json.dumps(payload), headers=headers - ) - response.raise_for_status() - return response.json() - - def poll_task_status(self, task_link): - stop_loop = False - while not stop_loop: - check_result = requests.get(url=f"{self.BASE_API_URL}{task_link}") - check_result.raise_for_status() - res = check_result.json() - if res["status"] == "SUCCESS" or res["status"] == "FAILED": - stop_loop = True - time.sleep(1) - return res - - -import logging - - -def request_rawdata(geometry): - """will make call to Raw Data API & provides response as json - - Args: - geometry (dict): geometry to request - - Raises: - ImportError: If raw data api url is not exists - - Returns: - Response(json): API Response - """ - - export_tool_api_url = settings.EXPORT_TOOL_API_URL - api = RawDataAPI(export_tool_api_url) - snapshot_data = api.request_snapshot(geometry) - task_link = snapshot_data["track_link"] - logging.info("Fetching latest OSM snapshot") - task_result = api.poll_task_status(task_link) - logging.info(f"Fetch Task result: {task_result['status']}") - if task_result["status"] != "SUCCESS": - raise RuntimeError( - "Raw Data API did not respond correctly. Please try again later." - ) - snapshot_url = task_result["result"]["download_url"] - return snapshot_url - - -def process_rawdata(file_download_url, aoi_id): - """This will create temp directory , Downloads file from URL provided, - Unzips it Finds a geojson file , Process it and finally removes - processed Geojson file and downloaded zip file from Directory""" - headers = {"Referer": "https://fair-dev.hotosm.org/"} - r = requests.get(file_download_url, headers=headers) - # Check whether the export path exists or not - path = "temp/" - isExist = os.path.exists(path) - if not isExist: - os.makedirs(path) - file_temp_path = os.path.join(path, f"{str(uuid4())}.zip") - open(file_temp_path, "wb").write(r.content) - with ZipFile(file_temp_path, "r") as zipObj: - listOfFileNames = zipObj.namelist() - # Iterate over the file names - geojson_file_path = f"""{path}/geojson/""" - - for fileName in listOfFileNames: - # Check filename endswith csv - if fileName.endswith(".geojson"): - if fileName != "clipping_boundary.geojson": - # Extract a single file from zip - zipObj.extract(fileName, geojson_file_path) - print(f"""Geojson file{fileName} from API wrote to disk""") - break - geojson_file = f"""{geojson_file_path}{fileName}""" - process_geojson(geojson_file, aoi_id) - remove_file(file_temp_path) - remove_file(geojson_file) - - -def remove_file(path: str) -> None: - """Used for removing temp file""" - os.unlink(path) - - -def gpx_generator(geom_json): - """Generates GPX for give geojson geometry - - Args: - geom_json (_type_): _description_ - - Returns: - xml: gpx - """ - - gpx = GPX() - gpx_track = GPXTrack() - gpx.tracks.append(gpx_track) - gpx_segment = GPXTrackSegment() - gpx_track.segments.append(gpx_segment) - for point in geom_json["coordinates"][0]: - # Append each point as a GPXWaypoint to the GPXTrackSegment - gpx_segment.points.append(GPXWaypoint(point[1], point[0])) - gpx.creator = "fAIr" - gpx_track.name = "Don't Edit this Boundary" - gpx_track.description = "Map inside this boundary and go back to fAIr UI" - gpx.time = datetime.now() - gpx.link = "https://github.com/hotosm/fAIr" - gpx.link_text = "AI Assisted Mapping - fAIr : HOTOSM" - return gpx.to_xml() - - -def process_feature(feature, aoi_id, foreign_key_id): - """Multi thread process of features""" - properties = feature["properties"] - osm_id = properties["osm_id"] - tags = properties["tags"] - geometry = feature["geometry"] - - if Label.objects.filter( - osm_id=int(osm_id), aoi__dataset=foreign_key_id - ).exists(): - Label.objects.filter( - osm_id=int(osm_id), aoi__dataset=foreign_key_id - ).delete() - - label = LabelSerializer( - data={"osm_id": int(osm_id), "tags": tags, "geom": geometry, "aoi": aoi_id} - ) - if label.is_valid(): - label.save() - else: - raise ValidationErr(label.errors) - - -def process_geojson(geojson_file_path, aoi_id): - """Multi-threaded Geojson processing to database - - Args: - geojson_file_path (_type_): _description_ - aoi_id (_type_): _description_ - - Raises: - ValidationErr: _description_ - """ - print("Geojson Processing Started") - foreign_key_id = AOI.objects.get(id=aoi_id).dataset - max_workers = ( - (os.cpu_count() - 1) if os.cpu_count() != 1 else 1 - ) # leave one cpu free always - Label.objects.filter(aoi__id=aoi_id).delete() - - with open(geojson_file_path) as f: - data = json.load(f) - with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: - futures = [ - executor.submit( - process_feature, feature, aoi_id, foreign_key_id - ) - for feature in data["features"] - ] - - -class S3Uploader: - def __init__( - self, - bucket_name=None, - aws_access_key_id=None, - aws_secret_access_key=None, - parent="fair-dev", - ): - try: - if aws_access_key_id and aws_secret_access_key: - self.aws_session = boto3.Session( - aws_access_key_id=aws_access_key_id, - aws_secret_access_key=aws_secret_access_key, - ) - else: - self.aws_session = boto3.Session() - - self.S3_CLIENT = self.aws_session.client("s3") - self.bucket_name = bucket_name - self.parent = parent - logging.info("S3 connection initialized successfully") - except (NoCredentialsError, ClientError) as ex: - logging.error(f"S3 Connection Error: {ex}") - raise - - def upload(self, path, bucket_name=None): - if not os.path.exists(path): - raise FileNotFoundError(f"Path not found: {path}") - - bucket = bucket_name or self.bucket_name - if not bucket: - raise ValueError("Bucket name must be provided") - - try: - if os.path.isfile(path): - return self._upload_file(path, bucket) - elif os.path.isdir(path): - return self._upload_directory(path, bucket) - else: - raise ValueError("Path must be a file or directory") - except Exception as ex: - logging.error(f"Upload failed: {ex}") - raise - - def _upload_file(self, file_path, bucket_name): - s3_key = f"{self.parent}/{os.path.basename(file_path)}" - self.S3_CLIENT.upload_file(file_path, bucket_name, s3_key) - return f"s3://{bucket_name}/{s3_key}" - - def _upload_directory(self, directory_path, bucket_name): - total_files = 0 - for root, _, files in os.walk(directory_path): - for file in files: - local_path = os.path.join(root, file) - relative_path = os.path.relpath(local_path, directory_path) - relative_path = relative_path.replace("\\", "/") - s3_key = f"{self.parent}/{relative_path}" - self.S3_CLIENT.upload_file(local_path, bucket_name, s3_key) - total_files += 1 - return { - "directory_name": os.path.basename(directory_path), - "total_files_uploaded": total_files, - "s3_path": f"s3://{bucket_name}/{self.parent}/", - } - - -def get_email_message(obj_instance, status): - hostname = settings.FRONTEND_URL - - if obj_instance.__class__.__name__ == "Prediction": - profile_url = f"{hostname}/profile/offline-predictions" - - elif obj_instance.__class__.__name__ == "Training": - profile_url = f"{hostname}/ai-models/{obj_instance.model.id}" - - else: - profile_url = f"{hostname}/profile" - - message_template = ( - "Hi {username},\n\n" - "Your {obj_class_name} task (ID: {object_id}) has {status}. You can view the details using following link:\n" - "{profile_url}\n\n" - "Thank you for using fAIr - AI Assisted Mapping Tool.\n\n" - "Best regards,\n" - "The fAIr Dev Team\n\n" - "Get Involved : https://www.hotosm.org/get-involved/\n" - "https://github.com/hotosm/fAIr/" - ) - - message = message_template.format( - username=obj_instance.user.username, - object_id=obj_instance.id, - # model_name=obj_instance.model.name if obj_instance.model else "N/A", - status=status.lower(), - profile_url=profile_url, - hostname=hostname, - obj_class_name=obj_instance.__class__.__name__, - ) - subject = f"fAIr : {obj_instance.__class__.__name__} {obj_instance.id} - {status.capitalize()}" - return message, subject - - -def send_notification(obj_instance, status): - if "web" in obj_instance.user.notifications_delivery_methods: - UserNotification.objects.create( - user=obj_instance.user, - message=f"Your {obj_instance.__class__.__name__} {obj_instance.id} has been {status}.", - related_object=obj_instance, - ) - if "email" in obj_instance.user.notifications_delivery_methods: - if ( - obj_instance.user.email - and obj_instance.user.email != "" - and obj_instance.user.email_verified - ): - try: - message, subject = get_email_message(obj_instance, status) - logging.info("Notification content generated, Sending email...") - send_mail( - subject=subject, - message=message, - from_email=settings.DEFAULT_FROM_EMAIL, - recipient_list=[obj_instance.user.email], - fail_silently=settings.FAIL_EMAIL_SILENTLY, - ) - except Exception as e: - logging.getLogger(__name__).error( - f"Error sending email notification: {e}" - ) - - -def shift_labels_by_offset(serialized_labels, offset): - """ - Shifts label geometries by [x, y] offset in meters. - - Args: - serialized_labels (dict): GeoJSON-like dictionary with features - offset (list): [x, y] offset in meters - - Returns: - GeoDataFrame: GeoDataFrame with shifted geometries - """ - gdf = gpd.GeoDataFrame.from_features(serialized_labels["features"]) - - if gdf.crs is None: - gdf.set_crs(epsg=4326, inplace=True) - - gdf_mercator = gdf.to_crs(epsg=3857) - # because we want shifting happens in meters not degrees - gdf_mercator["geometry"] = gdf_mercator["geometry"].apply( - lambda geom: translate(geom, xoff=offset[0], yoff=offset[1]) - ) - - gdf_shifted = gdf_mercator.to_crs(epsg=4326) - - return gdf_shifted - - -def safe_rmtree(path): - """ - Safely delete a directory, handling EFS/NFS .nfs* lock files. - Retries `shutil.rmtree` and falls back to `rm -rf`. - - Args: - path (str): Path to remove. - sleep_time (int): Seconds to wait between retries. - max_rmtree_retries (int): How many times to retry `shutil.rmtree`. - use_sudo (bool): Whether to use `sudo` in fallback `rm -rf`. - """ - shutil.rmtree(path, ignore_errors=True) - - -def safe_copytree(src, dst): - safe_rmtree(dst) - shutil.copytree(src, dst) - - -def copyfile(src, dst): - os.makedirs(os.path.dirname(dst), exist_ok=True) - shutil.copyfile(src, dst) - - -def write_json(path, data): - with open(path, "w", encoding="utf-8") as f: - json.dump(data, f) - - -def safe_file_operation(operation, default_value=None, log_errors=True): - """Generic file operation wrapper with error handling.""" - try: - return operation() - except Exception as e: - if log_errors: - logging.getLogger(__name__).error(f"File operation failed: {e}") - return default_value - - -def get_file_count(path): - return safe_file_operation( - lambda: len([f for f in os.listdir(path) if os.path.isfile(os.path.join(path, f))]), - default_value=0 - ) - - -def xz_folder(folder_path, output_filename, remove_original=False): - if not output_filename.endswith(".tar.xz"): - output_filename += ".tar.xz" - with tarfile.open(output_filename, "w:xz") as tar: - tar.add(folder_path, arcname=os.path.basename(folder_path)) - if remove_original: - shutil.rmtree(folder_path) - - -def setup_ramp(): - env_ramp_home = settings.RAMP_HOME - ramp_home = Path(env_ramp_home) if env_ramp_home else Path.cwd() / "ramp" - if not env_ramp_home: - print("[!] RAMP_HOME not set. Using default: ./ramp") - elif not ramp_home.exists(): - print( - f"[!] RAMP_HOME is set to '{ramp_home}', but folder does not exist. Will set it up." - ) - ramp_home = ramp_home.resolve() - - env_training_ws = settings.TRAINING_WORKSPACE - training_workspace = ( - Path(env_training_ws) if env_training_ws else Path.cwd() / "trainings" - ) - if not env_training_ws: - print("[!] TRAINING_WORKSPACE not set. Using default: ./trainings") - elif not training_workspace.exists(): - print( - f"[!] TRAINING_WORKSPACE is set to '{training_workspace}', but folder does not exist. Will set it up." - ) - training_workspace = training_workspace.resolve() - - ramp_code_dir = ramp_home / "ramp-code" - checkpoint_dir = ramp_code_dir / "ramp" - - print(f"[+] RAMP_HOME: {ramp_home}") - print(f"[+] TRAINING_WORKSPACE: {training_workspace}") - - ramp_home.mkdir(parents=True, exist_ok=True) - training_workspace.mkdir(parents=True, exist_ok=True) - - if not ramp_code_dir.exists(): - print("[+] Downloading ramp-code-fAIr repo ZIP...") - zip_url = ( - "https://github.com/hotosm/ramp-code-fair/archive/refs/heads/master.zip" - ) - with tempfile.NamedTemporaryFile(suffix=".zip") as tmp_zip: - urllib.request.urlretrieve(zip_url, tmp_zip.name) - with zipfile.ZipFile(tmp_zip.name, "r") as zip_ref: - zip_ref.extractall(ramp_home) - - extracted_root = next(ramp_home.glob("ramp-code-fair-*"), None) - if extracted_root and extracted_root.is_dir(): - ramp_code_dir.mkdir(parents=True, exist_ok=True) - for item in extracted_root.iterdir(): - item.rename(ramp_code_dir / item.name) - extracted_root.rmdir() - print("[✓] ramp-code-fAIr setup complete.") - else: - print("[✓] ramp-code-fAIr already present.") - - checkpoint_dir.mkdir(parents=True, exist_ok=True) - - checkpoint_index = checkpoint_dir / "checkpoint.tf" - if not checkpoint_index.exists(): - print("[+] Downloading base model...") - base_url = "https://api-prod.fair.hotosm.org/api/v1/workspace/download/ramp/baseline.zip" - with tempfile.NamedTemporaryFile(suffix=".zip") as tmp_zip: - urllib.request.urlretrieve(base_url, tmp_zip.name) - with zipfile.ZipFile(tmp_zip.name, "r") as zip_ref: - zip_ref.extractall(checkpoint_dir) - print("[✓] Base model setup complete.") - else: - print("[✓] Base model already present.") - - os.environ["RAMP_HOME"] = str(ramp_home) - os.environ["TRAINING_WORKSPACE"] = str(training_workspace) - - -def check_and_convert_crs(geojson_path): - gdf = gpd.read_file(geojson_path) - print(f"Original CRS: {gdf.crs}") - - if gdf.crs.to_epsg() != 4326: - print("Converting to EPSG:4326") - gdf_4326 = gdf.to_crs(epsg=4326) - gdf_4326.to_file(geojson_path, driver="GeoJSON") - else: - print("Already in EPSG:4326, no conversion needed") - - -def geojson_to_fgb(input_path, output_path): - gpd.read_file(input_path).to_file(output_path, driver="FlatGeobuf") - - -def get_api_version(): - try: - import tomllib - except ImportError: - import tomli as tomllib - - pyproject_path = Path(__file__).parent.parent / "pyproject.toml" - - if not pyproject_path.exists(): - return "unknown" - - try: - with open(pyproject_path, "rb") as f: - data = tomllib.load(f) - return data.get("project", {}).get("version", "unknown") - except Exception: - return "unknown" - -def download_and_decompress_file(url, file_path): - try: - response = requests.get(url, stream=True) - response.raise_for_status() # Raise an exception for HTTP errors - - with gzip.GzipFile(fileobj=response.raw) as f: - with open(file_path, 'w') as geojson_file: - geojson_file.write(f.read().decode('utf-8')) - print(f"File downloaded and decompressed to: {file_path}") - return file_path - except requests.exceptions.RequestException as e: - print(f"An error occurred: {e}") - return None \ No newline at end of file diff --git a/backend/core/validators.py b/backend/core/validators.py deleted file mode 100644 index 073bea1a3..000000000 --- a/backend/core/validators.py +++ /dev/null @@ -1,129 +0,0 @@ -from django.core.exceptions import ValidationError -from django.contrib.gis.geos import GEOSGeometry, GEOSException -from shapely.geometry import shape -from shapely.validation import make_valid -import json - -from .exceptions import ( - GeometryValidationException, - ValidationException, - handle_geometry_error, - handle_validation_error -) - - -def validate_geometry(geom_data): - if isinstance(geom_data, str): - try: - geom_data = json.loads(geom_data) - except json.JSONDecodeError: - raise handle_geometry_error( - "Unknown", - "Invalid JSON in geometry field", - geom_data - ) - - try: - if isinstance(geom_data, dict): - geos_geom = GEOSGeometry(json.dumps(geom_data)) - geom_type = geom_data.get('type', 'Unknown') - else: - geos_geom = GEOSGeometry(geom_data) - geom_type = geos_geom.geom_type if hasattr(geos_geom, 'geom_type') else 'Unknown' - - if not geos_geom.valid: - try: - shapely_geom = shape(geom_data if isinstance(geom_data, dict) else json.loads(str(geom_data))) - fixed_geom = make_valid(shapely_geom) - geos_geom = GEOSGeometry(fixed_geom.wkt) - - if not geos_geom.valid: - raise handle_geometry_error(geom_type, "Geometry is invalid and cannot be repaired automatically") - except Exception as repair_error: - raise handle_geometry_error(geom_type, f"Geometry repair failed: {str(repair_error)}") - - if geos_geom.srid != 4326: - geos_geom.srid = 4326 - - return geos_geom - - except (GEOSException, ValueError, TypeError) as e: - geom_type = 'Unknown' - if isinstance(geom_data, dict) and 'type' in geom_data: - geom_type = geom_data['type'] - - raise handle_geometry_error(geom_type, f"Invalid geometry format: {str(e)}") - - -def validate_bbox(bbox): - if not isinstance(bbox, (list, tuple)) or len(bbox) != 4: - raise handle_validation_error("bbox", "Bounding box must be a list of 4 coordinates [minx, miny, maxx, maxy]", bbox) - - minx, miny, maxx, maxy = bbox - - if not all(isinstance(coord, (int, float)) for coord in bbox): - raise handle_validation_error("bbox", "All bounding box coordinates must be numeric", bbox) - - if minx >= maxx or miny >= maxy: - raise handle_validation_error("bbox", "Invalid bounding box: min values must be less than max values", bbox) - - if not (-180 <= minx <= 180 and -180 <= maxx <= 180): - raise handle_validation_error("bbox", "Longitude values must be between -180 and 180", bbox) - - if not (-90 <= miny <= 90 and -90 <= maxy <= 90): - raise handle_validation_error("bbox", "Latitude values must be between -90 and 90", bbox) - - return bbox - - -def validate_geojson(geojson_data): - if isinstance(geojson_data, str): - try: - geojson_data = json.loads(geojson_data) - except json.JSONDecodeError: - raise handle_validation_error("geojson", "Invalid JSON in GeoJSON field", geojson_data) - - if not isinstance(geojson_data, dict): - raise handle_validation_error("geojson", "GeoJSON must be a dictionary", type(geojson_data).__name__) - - if 'type' not in geojson_data: - raise handle_validation_error("geojson", "GeoJSON must have a 'type' field") - - geojson_type = geojson_data['type'] - - if geojson_type == 'FeatureCollection': - if 'features' not in geojson_data: - raise handle_validation_error("geojson", "FeatureCollection must have a 'features' field") - for i, feature in enumerate(geojson_data['features']): - try: - validate_geojson_feature(feature) - except (ValidationException, GeometryValidationException) as e: - e.details['feature_index'] = i - raise e - - elif geojson_type == 'Feature': - validate_geojson_feature(geojson_data) - - elif geojson_type in ['Point', 'LineString', 'Polygon', 'MultiPoint', 'MultiLineString', 'MultiPolygon']: - validate_geometry(geojson_data) - - else: - raise handle_validation_error("geojson", f"Unsupported GeoJSON type: {geojson_type}", geojson_type) - - return geojson_data - - -def validate_geojson_feature(feature): - if not isinstance(feature, dict): - raise handle_validation_error("geojson_feature", "Feature must be a dictionary", type(feature).__name__) - - if feature.get('type') != 'Feature': - raise handle_validation_error("geojson_feature", "Feature must have type 'Feature'", feature.get('type')) - - if 'geometry' not in feature: - raise handle_validation_error("geojson_feature", "Feature must have a 'geometry' field") - - if feature['geometry'] is not None: - validate_geometry(feature['geometry']) - - return feature \ No newline at end of file diff --git a/backend/core/views.py b/backend/core/views.py deleted file mode 100644 index 731c8e1be..000000000 --- a/backend/core/views.py +++ /dev/null @@ -1,1607 +0,0 @@ -from __future__ import absolute_import - -import json -import logging -import os -import pathlib -import random -import subprocess -import zipfile -from datetime import datetime -from tempfile import NamedTemporaryFile -from urllib.parse import quote - -import httpx -import pyogrio -from botocore.exceptions import ClientError, NoCredentialsError - -# import tensorflow as tf -from celery import current_app -from celery.result import AsyncResult -from django.conf import settings -from django.core.cache import cache -from django.core.files.uploadedfile import InMemoryUploadedFile -from django.db import connections -from django.db.models import Count, Q -from django.db.utils import OperationalError -from django.http import ( - Http404, - HttpResponse, - HttpResponseBadRequest, - HttpResponseRedirect, - JsonResponse, -) -from django.shortcuts import get_object_or_404 -from django.utils import timezone -from django.utils.decorators import method_decorator -from django.utils.timezone import now -from django.views.decorators.cache import cache_page -from django.views.decorators.vary import vary_on_cookie, vary_on_headers -from django_filters.rest_framework import DjangoFilterBackend -from django_q.tasks import async_task -from django_ratelimit.decorators import ratelimit -from geojson2osm import geojson2osm -from login.authentication import OsmAuthentication -from login.hanko_helpers import HankoUserFilterMixin -from login.permissions import ( - IsAdminUser, - IsOsmAuthenticated, - IsOwnerOrReadOnly, - IsStaffUser, -) -from osmconflator import conflate_geojson -from rest_framework import decorators, filters, serializers, status, viewsets -from rest_framework.decorators import api_view -from rest_framework.exceptions import ValidationError as DRFValidationError -from rest_framework.generics import ListAPIView -from rest_framework.parsers import FormParser, MultiPartParser -from rest_framework.response import Response -from rest_framework.views import APIView -from rest_framework.viewsets import ReadOnlyModelViewSet -from rest_framework_gis.fields import GeometryField -from rest_framework_gis.filters import InBBoxFilter, TMSTileFilter -from shapely.geometry import box - -from .exceptions import ( - ExternalServiceException, - ResourceNotFoundException, - ValidationException, - handle_validation_error, -) -from .mapswipe_client import MapswipeClient -from .mixins import ( - BaseModelViewSet, - BaseSpatialViewSet, - PublicFilterMixin, - UserAssignmentMixin, -) -from .models import ( - AOI, - Banner, - Dataset, - Feedback, - Label, - Model, - OsmUser, - Prediction, - Training, - UserNotification, -) -from .responses import APIResponse, APIResponseCodes -from .serializers import ( - AOISerializer, - BannerSerializer, - DatasetCentroidSerializer, - DatasetSerializer, - FeedbackSerializer, - LabelSerializer, - MapswipeProjectCreateSerializer, - ModelCentroidSerializer, - ModelMetaSerializer, - ModelSerializer, - PredictionCentroidSerializer, - PredictionParamSerializer, - TrainingSerializer, - UserNotificationSerializer, - UserSerializer, - UserStatsSerializer, -) -from .tasks import predict_area, process_mapswipe_results, train_model -from .utils import ( - degrees_to_km, - download_s3_file, - get_api_version, - get_s3_directory, - gpx_generator, - km_to_degrees, - process_rawdata, - request_rawdata, - s3_object_exists, - send_notification, -) -from .validators import validate_geojson - - -# @cache_page(60 * settings.CACHE_TIMEOUT_MINUTES) -@api_view(["GET"]) -def health(request): - status = { - "postgresql": False, - "redis": False, - "celery_workers": {}, - "load": {}, - "s3": None, - } - try: - connections["default"].cursor() - status["postgresql"] = True - except OperationalError: - status["postgresql"] = False - try: - cache.set("health_check", "ok", timeout=1) - if cache.get("health_check") == "ok": - status["redis"] = True - except Exception: - status["redis"] = False - inspect_active = {} - try: - i = current_app.control.inspect(timeout=1) - inspect_registered = i.registered() or {} - inspect_active = i.active() or {} - worker_names = sorted( - set(inspect_registered.keys()) | set(inspect_active.keys()) - ) - workers = [ - { - "name": worker_name, - "online": worker_name in inspect_active - or worker_name in inspect_registered, - "active": bool(inspect_active.get(worker_name)), - } - for worker_name in worker_names - ] - active_workers_count = sum(1 for worker in workers if worker["active"]) - online_workers_count = sum(1 for worker in workers if worker["online"]) - status["celery_workers"] = { - "online": online_workers_count, - "active": active_workers_count, - "workers": workers, - } - except Exception: - status["celery_workers"] = {} - - try: - training_by_base_model = { - base_model: {"submitted": submitted, "running": running} - for base_model, submitted, running in Training.objects.values_list( - "model__base_model" - ).annotate( - submitted=Count("id", filter=Q(status="SUBMITTED")), - running=Count("id", filter=Q(status="RUNNING")), - ) - } - prediction_counts = Prediction.objects.aggregate( - submitted=Count("id", filter=Q(status="SUBMITTED")), - running=Count("id", filter=Q(status="RUNNING")), - ) - status["load"] = { - "training": training_by_base_model, - "prediction": { - "submitted": prediction_counts["submitted"], - "running": prediction_counts["running"], - }, - } - except Exception: - status["load"] = {} - - try: - if settings.USE_S3_TO_UPLOAD_MODELS: - bucket = settings.BUCKET_NAME - if bucket and settings.S3_CLIENT: - try: - settings.S3_CLIENT.head_bucket(Bucket=bucket) - status["s3"] = True - except (ClientError, NoCredentialsError): - status["s3"] = False - else: - status["s3"] = False - else: - status["s3"] = None - except Exception: - status["s3"] = False - - if settings.ENABLE_MAPSWIPE_INTEGREATION: - try: - client = MapswipeClient( - backend_url=settings.MAPSWIPE_BACKEND_URL, - manager_url=settings.MAPSWIPE_MANAGER_URL, - fb_auth_url=settings.MAPSWIPE_FB_AUTH_URL, - fb_username=settings.MAPSWIPE_FB_USERNAME, - fb_password=settings.MAPSWIPE_FB_PASSWORD, - csrftoken_key=settings.MAPSWIPE_CSRFTOKEN_KEY, - ) - status["mapswipe_api"] = True - except Exception: - status["mapswipe_api"] = False - status["mapswipe_backend_url"] = settings.MAPSWIPE_BACKEND_URL - status["mapswipe_manager_url"] = settings.MAPSWIPE_MANAGER_URL - status["mapswipe_web_url"] = settings.MAPSWIPE_WEB_URL - - return JsonResponse({"status": status}) - - -@api_view(["GET"]) -def home(request): - version = get_api_version() - - return Response( - { - "name": "fAIr API", - "version": version, - "description": "AI-Assisted Mapping", - "documentation": { - "swagger": request.build_absolute_uri("/api/swagger/"), - "redoc": request.build_absolute_uri("/api/redoc/"), - "openapi_schema": request.build_absolute_uri("/api/swagger.json"), - }, - "api": {"v1": request.build_absolute_uri("/api/v1/")}, - } - ) - - -class DatasetViewSet(HankoUserFilterMixin, BaseSpatialViewSet): - """ - API endpoint for managing training datasets. - - Datasets contain training areas and associated models for AI-assisted mapping. - Supports spatial filtering and full CRUD operations. - - Query Parameters: - - search: Search by dataset name - - status: Filter by status (DRAFT, PUBLISHED) - - ordering: Order results by field - """ - - queryset = Dataset.objects.all() - serializer_class = DatasetSerializer - public_methods = ["GET"] - filter_backends = ( - DjangoFilterBackend, - filters.SearchFilter, - ) - filterset_fields = ["user", "status", "id"] - search_fields = ["id", "name"] - - def partial_update(self, request, *args, **kwargs): - if "offset" in request.data: - # Bypass self.get_object() to skip IsOsmAuthenticated's ownership check - # This allows ANY authenticated user to update the offset ## FIXME : I don't like this at all , for now i am allowing as a temp check later cloning of dataset would be recommended - instance = get_object_or_404(self.get_queryset(), pk=kwargs.get("pk")) - - serializer = self.get_serializer( - instance, data={"offset": request.data["offset"]}, partial=True - ) - serializer.is_valid(raise_exception=True) - self.perform_update(serializer) - return Response(serializer.data) - - return super().partial_update(request, *args, **kwargs) - - -@method_decorator( - ratelimit(key="user", rate="10/h", method="POST", block=True), name="create" -) -class TrainingViewSet(BaseModelViewSet): - """ - API endpoint for managing model training sessions. - - Training sessions use labeled data from datasets to train AI models. - Rate-limited to 10 creations per hour per user. - """ - - queryset = Training.objects.all() - http_method_names = ["get", "post", "delete"] - serializer_class = TrainingSerializer - filterset_fields = ["model", "status", "user", "id"] - ordering_fields = ["created_at", "accuracy", "id", "model", "status"] - search_fields = ["description", "id", "model__name"] - public_methods = ["GET"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - return super().create(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - instance = self.get_object() - serializer = self.get_serializer(instance) - data = serializer.data - data.update( - { - "feedback_count": Feedback.objects.filter( - training=instance.id, action="REJECT" - ).count(), - "approved_predictions_count": Feedback.objects.filter( - training=instance.id, action="ACCEPT" - ).count(), - } - ) - return Response(data) - - def destroy(self, request, *args, **kwargs): - return super().destroy(request, *args, **kwargs) - - -class FeedbackViewset(BaseSpatialViewSet): - """ - API endpoint for managing training feedback. - - Feedback allows users to accept or reject predictions to improve model quality. - Supports spatial filtering by geometry. - """ - - queryset = Feedback.objects.all() - serializer_class = FeedbackSerializer - bbox_filter_field = "geom" - filterset_fields = ["training", "user", "action"] - public_methods = ["GET"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - return super().create(request, *args, **kwargs) - - -class ModelViewSet(HankoUserFilterMixin, BaseSpatialViewSet): - """ - API endpoint for managing AI models. - - Models are trained versions that can be published for use in predictions. - Supports filtering by status, dataset, and date ranges. - """ - - queryset = Model.objects.all() - serializer_class = ModelSerializer - filterset_fields = { - "status": ["exact"], - "created_at": ["exact", "gt", "gte", "lt", "lte"], - "last_modified": ["exact", "gt", "gte", "lt", "lte"], - "user": ["exact"], - "dataset": ["exact"], - "id": ["exact"], - } - ordering_fields = ["created_at", "last_modified", "id", "status"] - search_fields = ["name", "id"] - public_methods = ["GET"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - return super().create(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - def update(self, request, *args, **kwargs): - return super().update(request, *args, **kwargs) - - def partial_update(self, request, *args, **kwargs): - return super().partial_update(request, *args, **kwargs) - - def destroy(self, request, *args, **kwargs): - return super().destroy(request, *args, **kwargs) - - -class ModelCentroidView(ListAPIView): - queryset = Model.objects.filter(status=0) ## only deliver the published model - serializer_class = ModelCentroidSerializer - filter_backends = ( - # InBBoxFilter, - DjangoFilterBackend, - filters.SearchFilter, - ) - filterset_fields = ["id"] - search_fields = ["name"] - pagination_class = None - - -class DatasetCentroidView(ListAPIView): - queryset = Dataset.objects.filter(status=0) ## only deliver the active datasets - serializer_class = DatasetCentroidSerializer - filter_backends = ( - # InBBoxFilter, - DjangoFilterBackend, - filters.SearchFilter, - ) - filterset_fields = ["id"] - search_fields = ["name", "id"] - pagination_class = None - - -class PredictionCentroidView(ListAPIView): - queryset = Prediction.objects.filter(published=True) - serializer_class = PredictionCentroidSerializer - filter_backends = ( - DjangoFilterBackend, - filters.SearchFilter, - ) - filterset_fields = ["id"] - search_fields = ["description", "id"] - pagination_class = None - - -class UsersView(ListAPIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsAdminUser, IsStaffUser] - queryset = OsmUser.objects.all() - serializer_class = UserStatsSerializer - filter_backends = ( - DjangoFilterBackend, - filters.SearchFilter, - ) - filterset_fields = ["osm_id"] - search_fields = ["username", "osm_id"] - - -class AOIViewSet(BaseModelViewSet): - """ - API endpoint for managing Areas of Interest (AOI). - - AOIs define geographic regions within datasets for labeling and training. - """ - - queryset = AOI.objects.all() - serializer_class = AOISerializer - filterset_fields = ["dataset"] - public_methods = ["GET"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - return super().create(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - def update(self, request, *args, **kwargs): - return super().update(request, *args, **kwargs) - - def partial_update(self, request, *args, **kwargs): - return super().partial_update(request, *args, **kwargs) - - def destroy(self, request, *args, **kwargs): - return super().destroy(request, *args, **kwargs) - - -class LabelViewSet(BaseSpatialViewSet): - """ - API endpoint for managing training labels. - - Labels are geographic features used to train AI models. - Supports spatial filtering and GeoJSON upload. - """ - - queryset = Label.objects.all() - serializer_class = LabelSerializer - bbox_filter_field = "geom" - pagination_class = None - filterset_fields = ["aoi", "aoi__dataset"] - public_methods = ["GET"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - serializer = LabelSerializer(data=request.data) - - if serializer.is_valid(): - aoi_id = serializer.validated_data.get("aoi") - geom = serializer.validated_data.get("geom") - - existing_label = Label.objects.filter(aoi=aoi_id, geom=geom).first() - - if existing_label: - serializer = LabelSerializer(existing_label, data=request.data) - if serializer.is_valid(): - serializer.save() - return Response(serializer.data, status=status.HTTP_200_OK) - else: - serializer.save() - return Response(serializer.data, status=status.HTTP_200_OK) - - return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) - - -class LabelUploadView(APIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - parser_classes = (MultiPartParser, FormParser) - - def post(self, request, aoi_id, *args, **kwargs): - geojson_file = request.FILES.get("geojson_file") - if geojson_file: - try: - geojson_data = json.load(geojson_file) - self.validate_geojson(geojson_data) - async_task( - "core.views.process_labels_geojson", - geojson_data, - aoi_id, - ) - return Response( - {"status": "GeoJSON file is being processed"}, - status=status.HTTP_202_ACCEPTED, - ) - except (json.JSONDecodeError, ValidationException) as e: - raise e - raise handle_validation_error("geojson_file", "No GeoJSON file provided") - - def validate_geojson(self, geojson_data): - return validate_geojson(geojson_data) - - def validate_geojson(self, geojson_data): - if geojson_data.get("type") != "FeatureCollection": - raise handle_validation_error( - "geojson_type", - "Invalid GeoJSON type. Expected 'FeatureCollection'", - geojson_data.get("type"), - ) - if "features" not in geojson_data or not isinstance( - geojson_data["features"], list - ): - raise handle_validation_error( - "geojson_features", "Invalid GeoJSON format. 'features' must be a list" - ) - if not geojson_data["features"]: - raise handle_validation_error( - "geojson_features", "GeoJSON 'features' list is empty" - ) - - first_feature = geojson_data["features"][0] - if first_feature.get("type") != "Feature": - raise handle_validation_error( - "geojson_feature_type", - "Invalid GeoJSON feature type. Expected 'Feature'", - first_feature.get("type"), - ) - if "geometry" not in first_feature or "properties" not in first_feature: - raise handle_validation_error( - "geojson_feature_format", - "Invalid GeoJSON feature format. 'geometry' and 'properties' are required", - ) - - first_feature["properties"]["aoi"] = self.kwargs.get("aoi_id") - serializer = LabelSerializer(data=first_feature) - - if not serializer.is_valid(): - raise ValidationException( - message="Label validation failed", - details={"serializer_errors": serializer.errors}, - ) - - -def process_labels_geojson(geojson_data, aoi_id): - obj = get_object_or_404(AOI, id=aoi_id) - try: - obj.label_status = AOI.DownloadStatus.RUNNING - obj.save() - for feature in geojson_data["features"]: - feature["properties"]["aoi"] = aoi_id - serializer = LabelSerializer(data=feature) - if serializer.is_valid(): - serializer.save() - - obj.label_status = AOI.DownloadStatus.DOWNLOADED - obj.label_fetched = datetime.utcnow() - obj.save() - except Exception as ex: - obj.label_status = AOI.DownloadStatus.NOT_DOWNLOADED - obj.save() - logging.error(ex) - - -class RawdataApiAOIView(APIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - - def post(self, request, aoi_id, *args, **kwargs): - """Downloads available osm data as labels within given AOI - - Args: - request (_type_): _description_ - aoi_id (_type_): _description_ - - Returns: - status: Success/Failed - """ - obj = get_object_or_404(AOI, id=aoi_id) - async_task("core.views.process_rawdata_task", obj.geom.geojson, aoi_id) - return Response("Processing started", status=status.HTTP_202_ACCEPTED) - - -def process_rawdata_task(geom_geojson, aoi_id): - obj = get_object_or_404(AOI, id=aoi_id) - try: - obj.label_status = AOI.DownloadStatus.RUNNING - obj.save() - file_download_url = request_rawdata(geom_geojson) - process_rawdata(file_download_url, aoi_id) - obj.label_status = AOI.DownloadStatus.DOWNLOADED - obj.label_fetched = datetime.utcnow() - obj.save() - except Exception as ex: - obj.label_status = AOI.DownloadStatus.NOT_DOWNLOADED - obj.save() - raise ex - - -@api_view(["GET"]) -def download_training_data(request, dataset_id: int): - """Used for Delivering our training folder to user. - Returns zip file if it is present on our server if not returns error - """ - - file_path = os.path.join( - settings.TRAINING_WORKSPACE, f"dataset_{dataset_id}", "input" - ) - zip_temp_path = os.path.join( - settings.TRAINING_WORKSPACE, f"dataset_{dataset_id}.zip" - ) - directory = pathlib.Path(file_path) - if os.path.exists(directory): - zf = zipfile.ZipFile(zip_temp_path, "w", zipfile.ZIP_DEFLATED) - for file_path in directory.iterdir(): - zf.write(file_path, arcname=file_path.name) - zf.close() - if os.path.exists(zip_temp_path): - response = HttpResponse(open(zip_temp_path, "rb")) - response.headers["Content-Type"] = "application/x-zip-compressed" - - response.headers["Content-Disposition"] = ( - f"attachment; filename=training_{dataset_id}_all_data.zip" - ) - return response - else: - # "error": "File Doesn't Exist or has been cleared up from system", - return HttpResponse(status=204) - - else: - # "error": "Dataset haven't been downloaded or doesn't exist", - return HttpResponse(status=204) - - -# @api_view(["POST"]) -# def geojson2osmconverter(request): -# try: -# geojson_data = json.loads(request.body)["geojson"] -# except json.JSONDecodeError: -# return HttpResponseBadRequest("Invalid input") - -# osm_xml = geojson2osm(geojson_data) - -# return HttpResponse(osm_xml, content_type="application/xml") - - -@api_view(["POST"]) -def ConflateGeojson(request): - try: - geojson_data = json.loads(request.body)["geojson"] - except json.JSONDecodeError: - return HttpResponseBadRequest("Invalid input") - - conflated_geojson = conflate_geojson( - geojson_data, remove_conflated=True, api_url=settings.EXPORT_TOOL_API_URL - ) - - return Response(conflated_geojson, status=200) - - -@api_view(["GET"]) -@ratelimit(key="user_or_ip", rate="30/m", method="GET", block=False) -def run_task_status(request, run_id: str): - cache_key = f"task_status_{run_id}" - cached_result = cache.get(cache_key) - if cached_result: - return Response(cached_result) - - task_result = AsyncResult(run_id, app=current_app) - - if task_result.failed(): - result = { - "id": run_id, - "status": task_result.state, - "error": str(task_result.result), - "traceback": str(task_result.traceback), - } - cache.set(cache_key, result, 2) - return Response(result) - - if task_result.state in ("PENDING", "STARTED"): - log_file = os.path.join(settings.LOG_PATH, f"run_{run_id}.log") - output = "" - - if os.path.exists(log_file): - try: - from collections import deque - - with open(log_file, "r") as f: - lines = deque(f, maxlen=settings.LOG_LINE_STREAM_TRUNCATE_VALUE) - output = "".join(lines) - except Exception as e: - output = str(e) - - result = { - "id": run_id, - "status": task_result.state, - "result": task_result.result, - "traceback": output, - } - cache.set(cache_key, result, 2) - return Response(result) - - result = { - "id": run_id, - "status": task_result.state, - "result": task_result.result, - } - cache.set(cache_key, result, 2) - return Response(result) - - -DEFAULT_TILE_SIZE = 256 - - -@api_view(["POST"]) -@decorators.authentication_classes([OsmAuthentication]) -@decorators.permission_classes([IsOsmAuthenticated]) -def publish_training(request, training_id: int): - """Publishes training for model""" - training_instance = get_object_or_404(Training, id=training_id) - model_instance = get_object_or_404(Model, id=training_instance.model.id) - - if training_instance.status != "FINISHED": - return Response("Training is not FINISHED", status=409) - if model_instance.base_model == "RAMP": - if training_instance.accuracy < 70: - return Response( - "Can't publish the training since its accuracy is below 70%", status=403 - ) - else: - if training_instance.accuracy < 5: - return Response( - "Can't publish the training since its accuracy is below 5%", status=403 - ) - - # Check if the current user is the owner of the model - if model_instance.user != request.user: - return Response("You are not allowed to publish this training", status=403) - - model_instance.published_training = training_instance.id - model_instance.status = 0 - model_instance.save() - - return Response("Training Published", status=status.HTTP_201_CREATED) - - -class GenerateGpxView(APIView): - def get(self, request, aoi_id: int): - aoi = get_object_or_404(AOI, id=aoi_id) - geom_json = json.loads(aoi.geom.json) - gpx_xml = gpx_generator(geom_json) - return HttpResponse(gpx_xml, content_type="application/xml") - - -class TrainingWorkspaceView(APIView): - @method_decorator(cache_page(60 * settings.CACHE_TIMEOUT_MINUTES)) - @method_decorator(vary_on_headers("access-token")) - def get(self, request, lookup_dir): - parent = settings.PARENT_BUCKET_FOLDER - lookup = (lookup_dir or "").strip("/") - encoded_file_path = quote(lookup) if lookup else "" - s3_prefix = ( - f"{parent}/{encoded_file_path}/" if encoded_file_path else f"{parent}/" - ) - - try: - data = get_s3_directory(settings.BUCKET_NAME, s3_prefix) - except Exception as e: - return Response({"Error": str(e)}, status=500) - - return Response(data, status=status.HTTP_200_OK) - - -class TrainingWorkspaceDownloadView(APIView): - def get(self, request, lookup_dir): - s3_key = os.path.join(settings.PARENT_BUCKET_FOLDER, lookup_dir) - bucket_name = settings.BUCKET_NAME - - if not s3_object_exists(bucket_name, s3_key): - return Response("File not found in S3", status=404) - presigned_url = download_s3_file(bucket_name, s3_key) - # ?url_only=true - url_only = request.query_params.get("url_only", "false").lower() == "true" - - if url_only: - return Response({"result": presigned_url}) - else: - return HttpResponseRedirect(presigned_url) - - -class BannerViewSet(viewsets.ModelViewSet): - """ - API endpoint for managing notification banners. - - Banners are time-bound messages displayed to users. - Read access is public, write operations require admin/staff permissions. - """ - - queryset = Banner.objects.all() - serializer_class = BannerSerializer - authentication_classes = [OsmAuthentication] - permission_classes = [IsAdminUser, IsStaffUser] - pagination_class = None - public_methods = ["GET"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - return super().create(request, *args, **kwargs) - - def update(self, request, *args, **kwargs): - return super().update(request, *args, **kwargs) - - def destroy(self, request, *args, **kwargs): - return super().destroy(request, *args, **kwargs) - - def get_queryset(self): - now = timezone.now() - return Banner.objects.filter(start_date__lte=now).filter( - end_date__gte=now - ) | Banner.objects.filter(end_date__isnull=True) - - -@cache_page(60 * settings.CACHE_TIMEOUT_MINUTES) -@api_view(["GET"]) -def get_kpi_stats(request): - total_models_with_status_published = Model.objects.filter(status=0).count() - total_registered_users = OsmUser.objects.count() - total_accepted_predictions = Feedback.objects.filter(action="ACCEPT").count() - total_feedback_labels = Feedback.objects.filter(action="REJECT").count() - - data = { - "total_models_published": total_models_with_status_published, - "total_registered_users": total_registered_users, - "total_accepted_predictions": total_accepted_predictions, - "total_feedback_labels": total_feedback_labels, - } - - return Response(data) - - -class UserNotificationViewSet(ReadOnlyModelViewSet): - """ - API endpoint for user notifications. - - Allows users to view their notifications. Read-only. - Use separate endpoints to mark as read. - """ - - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - serializer_class = UserNotificationSerializer - filter_backends = [DjangoFilterBackend, filters.OrderingFilter] - filterset_fields = ["is_read"] - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - ordering = ["-created_at"] - ordering_fields = ["created_at", "read_at", "is_read"] - - def get_queryset(self): - return UserNotification.objects.filter(user=self.request.user) - - -class MarkNotificationAsRead(APIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - - def post(self, request, notification_id, format=None): - try: - notification = UserNotification.objects.get( - id=notification_id, user=request.user - ) - - if notification.is_read: - return Response( - {"detail": "Notification is already marked as read."}, - status=status.HTTP_200_OK, - ) - - notification.is_read = True - notification.read_at = timezone.now() - notification.save() - - return Response( - {"detail": "Notification marked as read."}, status=status.HTTP_200_OK - ) - - except UserNotification.DoesNotExist: - return Response( - {"detail": "Notification not found."}, status=status.HTTP_404_NOT_FOUND - ) - - -class MarkAllNotificationsAsRead(APIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - - def post(self, request, format=None): - unread_notifications = UserNotification.objects.filter( - user=request.user, is_read=False - ) - - if not unread_notifications.exists(): - return Response( - {"detail": "No unread notifications found."}, - status=status.HTTP_404_NOT_FOUND, - ) - - unread_notifications.update(is_read=True, read_at=timezone.now()) - return Response( - {"detail": "All unread notifications marked as read."}, - status=status.HTTP_200_OK, - ) - - -class TerminateTrainingView(APIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - - def post(self, request, training_id, format=None): - try: - training_instance = Training.objects.get(id=training_id, user=request.user) - - task_id = training_instance.task_id - if not task_id: - return Response( - {"detail": "No task associated with this training."}, - status=status.HTTP_400_BAD_REQUEST, - ) - - task = AsyncResult(task_id, app=current_app) - if ( - task.state in ["PENDING", "STARTED", "RETRY", "FAILURE"] - and training_instance.status != "FAILED" - ): - current_app.control.revoke(task_id, terminate=True) - training_instance.status = "FAILED" - training_instance.finished_at = now() - training_instance.save() - send_notification(training_instance, "Cancelled") - return Response( - {"detail": "Training task cancelled successfully."}, - status=status.HTTP_200_OK, - ) - else: - return Response( - { - "detail": f"Task cannot be cancelled. Current state: {task.state}" - }, - status=status.HTTP_400_BAD_REQUEST, - ) - - except Training.DoesNotExist: - return Response( - {"detail": "Training not found or do not belong to you"}, - status=status.HTTP_404_NOT_FOUND, - ) - - -class PredictionSerializer(serializers.ModelSerializer): - geom = GeometryField() - - class Meta: - model = Prediction - fields = [ - "id", - "description", - "created_at", - "started_at", - "finished_at", - "published_at", - "status", - # "result_count", - "result", - "task_id", - "mapswipe_id", - "config", - "geom", - "user", - "published", - ] - read_only_fields = ( - "created_at", - "status", - "user", - "started_at", - "finished_at", - "published_at", - "task_id", - ) - - def validate_config(self, value): - if value: - required_fields = ["checkpoint", "zoom_level", "source"] - missing_fields = [field for field in required_fields if field not in value] - if missing_fields: - raise serializers.ValidationError( - f"Missing required fields: {', '.join(missing_fields)}" - ) - return value - - def validate_geom(self, value): - from django.contrib.gis.geos import GEOSGeometry, MultiPolygon, Polygon - - if isinstance(value, (str, dict)): - geom = GEOSGeometry(str(value)) - else: - geom = value - - if isinstance(geom, MultiPolygon): - unified = geom.unary_union - - if isinstance(unified, MultiPolygon): - extent = geom.extent - from django.contrib.gis.geos import Polygon as GEOSPolygon - - bbox_polygon = GEOSPolygon.from_bbox(extent) - bbox_polygon.srid = geom.srid - return bbox_polygon - else: - return unified - elif isinstance(geom, Polygon): - return geom - else: - raise serializers.ValidationError( - "Geometry must be Polygon or MultiPolygon" - ) - - def create(self, validated_data): - instance = Prediction.objects.create(**validated_data) - folder = instance.config.get("folder") if instance.config else None - task = predict_area.apply_async( - kwargs={ - "prediction_request_id": instance.id, - "folder": folder, - }, - queue=("predictions"), - ) - logging.info("Record saved in queue") - - instance.task_id = task.id - instance.save() - logging.info(f"Prediction request queued with task ID {task.id}") - return instance - - def to_representation(self, instance): - ret = super().to_representation(instance) - request = self.context.get("request") - if request and request.method == "GET": - ret["user"] = UserSerializer(instance.user).data - config = instance.config or {} - model_name = config.get("model_name") - if config.get("model_id") and not model_name: - try: - ret["model_name"] = ( - Model.objects.only("name").get(id=config["model_id"]).name - ) - except Model.DoesNotExist: - ret["model_name"] = None - return ret - - -@method_decorator( - ratelimit(key="user", rate="50/h", method="POST", block=True), name="create" -) -class PredictionViewSet(PublicFilterMixin, UserAssignmentMixin, BaseSpatialViewSet): - """ - API endpoint for managing predictions. - - Predictions use trained models to detect features in new areas. - Rate-limited to 50 creations per hour per user. - Supports spatial filtering and status tracking. - """ - - http_method_names = ["get", "post", "patch"] - queryset = Prediction.objects.all() - bbox_filter_field = "geom" - serializer_class = PredictionSerializer - filterset_fields = ["status", "id", "published"] - search_fields = ["description", "id"] - ordering_fields = ["created_at", "id", "status", "published", "published_at"] - permission_classes = [IsOsmAuthenticated, IsOwnerOrReadOnly] - public_filter_field = "published" - - def list(self, request, *args, **kwargs): - return super().list(request, *args, **kwargs) - - def retrieve(self, request, *args, **kwargs): - return super().retrieve(request, *args, **kwargs) - - def create(self, request, *args, **kwargs): - return super().create(request, *args, **kwargs) - - def partial_update(self, request, *args, **kwargs): - instance = self.get_object() - - allowed_fields = ["mapswipe_id", "published"] - - for field in request.data: - if field not in allowed_fields: - return Response( - { - "detail": f"Field '{field}' cannot be updated. Only {', '.join(allowed_fields)} can be updated." - }, - status=status.HTTP_400_BAD_REQUEST, - ) - - return super().partial_update(request, *args, **kwargs) - - @decorators.action(detail=True, methods=["post"], url_path="retry") - def retry(self, request, pk=None): - """Retry a failed or finished prediction.""" - instance = self.get_object() - if instance.status not in ["FAILED", "FINISHED"]: - return Response( - {"detail": f"Cannot retry {instance.status} prediction"}, - status=status.HTTP_400_BAD_REQUEST, - ) - - task = predict_area.apply_async( - kwargs={ - "prediction_request_id": instance.id, - "folder": instance.config.get("folder") if instance.config else None, - }, - queue=("predictions"), - ) - instance.task_id = task.id - instance.status = "SUBMITTED" - instance.started_at = instance.finished_at = None - instance.result = instance.result or {} - instance.result["retried_at"] = timezone.now().isoformat() - instance.save() - return Response({"detail": "Queued for retry", "task_id": task.id}) - - -class TerminatePredictionView(APIView): - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - - def post(self, request, prediction_id, format=None): - try: - prediction_instance = Prediction.objects.get( - id=prediction_id, user=request.user - ) - - task_id = prediction_instance.task_id - if not task_id: - return Response( - {"detail": "No task associated with this prediction."}, - status=status.HTTP_400_BAD_REQUEST, - ) - - task = AsyncResult(task_id, app=current_app) - if ( - task.state in ["PENDING", "STARTED", "RETRY", "FAILURE"] - and prediction_instance.status != "FAILED" - ): - current_app.control.revoke(task_id, terminate=True) - prediction_instance.status = "FAILED" - prediction_instance.finished_at = now() - prediction_instance.save() - send_notification(prediction_instance, "Cancelled") - return Response( - {"detail": "Prediction task cancelled successfully."}, - status=status.HTTP_200_OK, - ) - else: - return Response( - { - "detail": f"Task cannot be cancelled. Current state: {task.state}" - }, - status=status.HTTP_400_BAD_REQUEST, - ) - - except Prediction.DoesNotExist: - return Response( - {"detail": "Prediction not found or do not belong to you"}, - status=status.HTTP_404_NOT_FOUND, - ) - - -class StreamFGBView(APIView): - @method_decorator(cache_page(60 * settings.CACHE_TIMEOUT_MINUTES)) - def get(self, request, file_path): - if not file_path.endswith(".fgb"): - return Response({"error": "Only .fgb files supported"}, status=400) - - bbox_param = request.query_params.get("bbox") - if not bbox_param: - return Response({"error": "bbox parameter required"}, status=400) - - try: - minx, miny, maxx, maxy = [float(x) for x in bbox_param.split(",")] - except (ValueError, TypeError): - return Response({"error": "Invalid bbox format"}, status=400) - - if not ( - -180 <= minx <= 180 - and -180 <= maxx <= 180 - and -90 <= miny <= 90 - and -90 <= maxy <= 90 - ): - return Response( - {"error": "Bbox coordinates out of valid range"}, status=400 - ) - - if minx >= maxx or miny >= maxy: - return Response( - {"error": "Invalid bbox: min values must be less than max values"}, - status=400, - ) - - width = maxx - minx - height = maxy - miny - - center_lat = (miny + maxy) / 2 - max_dim_deg, _ = km_to_degrees(settings.FGB_MAX_BBOX_DIMENSION_KM, center_lat) - - lat_km, lon_km = degrees_to_km(1.0, center_lat) - area_km2 = width * lon_km * height * lat_km - - if width > max_dim_deg or height > max_dim_deg: - return Response( - { - "error": f"Bbox dimension too large. Maximum allowed: {settings.FGB_MAX_BBOX_DIMENSION_KM}km " - f"(requested: ~{width * lon_km:.1f}km x {height * lat_km:.1f}km)" - }, - status=400, - ) - - if area_km2 > settings.FGB_MAX_BBOX_AREA_KM2: - return Response( - { - "error": f"Bbox area too large. Maximum allowed: {settings.FGB_MAX_BBOX_AREA_KM2}km² " - f"(requested: ~{area_km2:.1f}km²)" - }, - status=400, - ) - - output_format = request.query_params.get("format", "geojson").lower() - if output_format not in ["geojson", "osmxml"]: - return Response({"error": "Unsupported format"}, status=400) - - if not s3_object_exists( - settings.BUCKET_NAME, f"{settings.PARENT_BUCKET_FOLDER}/{file_path}" - ): - return Response({"error": "File not found"}, status=404) - - s3_url = ( - f"s3://{settings.BUCKET_NAME}/{settings.PARENT_BUCKET_FOLDER}/{file_path}" - ) - - try: - # Calculate area in km² for logging - center_lat = (miny + maxy) / 2 - lat_km, lon_km = degrees_to_km(1.0, center_lat) - area_km2 = width * lon_km * height * lat_km - - logging.info( - f"FGB request: file={file_path}, bbox=({minx},{miny},{maxx},{maxy}), " - f"area={area_km2:.1f}km², size={width * lon_km:.1f}x{height * lat_km:.1f}km, format={output_format}" - ) - - try: - file_info = pyogrio.read_info(s3_url) - file_bounds = file_info.get("total_bounds") - - if file_bounds is not None: - file_minx, file_miny, file_maxx, file_maxy = file_bounds - - if ( - maxx < file_minx - or minx > file_maxx - or maxy < file_miny - or miny > file_maxy - ): - logging.info( - "FGB request: No intersection with file bounds, returning empty result" - ) - if output_format == "geojson": - return Response( - {"type": "FeatureCollection", "features": []} - ) - else: - return HttpResponse( - '', - content_type="application/xml", - ) - else: - logging.info( - "FGB request: Bbox intersects with file bounds, proceeding with read" - ) - else: - logging.warning( - "FGB request: File bounds not available from metadata" - ) - except Exception as bounds_ex: - logging.warning( - f"FGB request: Could not read file bounds: {str(bounds_ex)}" - ) - - read_kwargs = { - "bbox": (minx, miny, maxx, maxy), - "use_arrow": settings.FGB_USE_ARROW_FOR_STREAMING, - } - - if not settings.FGB_USE_ARROW_FOR_STREAMING: - read_kwargs["max_features"] = settings.FGB_MAX_FEATURES_LIMIT - - gdf = pyogrio.read_dataframe(s3_url, **read_kwargs) - - if len(gdf) > settings.FGB_MAX_FEATURES_LIMIT: - return Response( - { - "error": f"Too many features returned ({len(gdf)}). Maximum allowed: {settings.FGB_MAX_FEATURES_LIMIT}. " - f"Please use a smaller bounding box." - }, - status=400, - ) - except Exception as ex: - error_msg = str(ex).lower() - if any( - keyword in error_msg - for keyword in ["memory", "allocation", "out of memory"] - ): - return Response( - {"error": "Request too large. Please use a smaller bounding box."}, - status=413, - ) - else: - return Response({"error": f"Error reading file: {str(ex)}"}, status=500) - - if gdf.empty: - logging.info( - "FGB request: No features found in bbox, returning empty result" - ) - if output_format == "geojson": - return Response({"type": "FeatureCollection", "features": []}) - else: - return HttpResponse( - '', content_type="application/xml" - ) - - logging.info(f"FGB request: Successfully returned {len(gdf)} features") - - if output_format == "geojson": - return Response(json.loads(gdf.to_json())) - else: - geojson_data = json.loads(gdf.to_json()) - osm_xml = geojson2osm(geojson_data) - return HttpResponse(osm_xml, content_type="application/xml") - - -class MapswipeProjectViewSet(viewsets.ViewSet): - """ - API endpoint for managing MapSwipe projects. - """ - - authentication_classes = [OsmAuthentication] - permission_classes = [IsOsmAuthenticated] - serializer_class = MapswipeProjectCreateSerializer - - def create(self, request): - serializer = MapswipeProjectCreateSerializer(data=request.data) - serializer.is_valid(raise_exception=True) - validated_data = serializer.validated_data - - prediction_instance = None - prediction_id = validated_data.get("prediction_id") - if prediction_id: - prediction_instance = get_object_or_404(Prediction, id=prediction_id) - - temp_file_path = None - - if "cover_image" in validated_data: - cover_image = validated_data["cover_image"] - with NamedTemporaryFile(delete=False, suffix=".png") as temp_file: - if isinstance(cover_image, InMemoryUploadedFile): - temp_file.write(cover_image.read()) - else: - with open(cover_image.temporary_file_path(), "rb") as f: - temp_file.write(f.read()) - temp_file_path = temp_file.name - - try: - with MapswipeClient( - backend_url=settings.MAPSWIPE_BACKEND_URL, - manager_url=settings.MAPSWIPE_MANAGER_URL, - fb_auth_url=settings.MAPSWIPE_FB_AUTH_URL, - fb_username=settings.MAPSWIPE_FB_USERNAME, - fb_password=settings.MAPSWIPE_FB_PASSWORD, - csrftoken_key=settings.MAPSWIPE_CSRFTOKEN_KEY, - ) as client: - organization_id = settings.MAPSWIPE_ORGANIZATION_ID - new_project_id, image_asset_id = client.create_validation_project( - topic=validated_data["topic"], - region=validated_data["region"], - description=validated_data["description"], - instruction=validated_data["instruction"], - look_for=validated_data["look_for"], - project_number=random.randint(1, 100), - organization_id=organization_id, - ) - - client.update_project( - project_id=new_project_id, - geojson_url=validated_data["geojson_url"], - tms_url=validated_data["tms_url"], - image_asset_id=image_asset_id, - tutorial_id=settings.MAPSWIPE_TUTORIAL_ID, - verification_number=settings.MAPSWIPE_VERIFICATION_NUMBER, - ) - - status_update = client.update_project_status( - new_project_id, "READY_TO_PROCESS" - ) - - response_data = { - "project_id": new_project_id, - "status": status_update["result"]["status"], - } - - if prediction_instance: - prediction_instance.mapswipe_id = new_project_id - prediction_instance.save() - response_data["prediction_id"] = prediction_instance.id - message = ( - "MapSwipe project created successfully and linked to prediction" - ) - else: - message = "MapSwipe project created successfully" - - return APIResponse.success( - data=response_data, - message=message, - status_code=status.HTTP_201_CREATED, - ) - except RuntimeError as e: - return APIResponse.external_service_error( - message=f"MapSwipe service error: {str(e)}" - ) - except httpx.HTTPError as e: - return APIResponse.external_service_error( - message=f"Failed to communicate with MapSwipe: {str(e)}" - ) - except Exception as e: - return APIResponse.error( - code=APIResponseCodes.EXTERNAL_SERVICE_ERROR, - message=f"Unexpected error creating MapSwipe project: {str(e)}", - status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, - ) - finally: - if temp_file_path: - os.remove(temp_file_path) - - def retrieve(self, request, pk=None): - try: - pred_inst = get_object_or_404(Prediction, mapswipe_id=pk) - - with MapswipeClient( - backend_url=settings.MAPSWIPE_BACKEND_URL, - manager_url=settings.MAPSWIPE_MANAGER_URL, - fb_auth_url=settings.MAPSWIPE_FB_AUTH_URL, - fb_username=settings.MAPSWIPE_FB_USERNAME, - fb_password=settings.MAPSWIPE_FB_PASSWORD, - csrftoken_key=settings.MAPSWIPE_CSRFTOKEN_KEY, - ) as client: - project_details = client.get_project_details(pk) - if project_details.get("status") == "FINISHED": - try: - results = pred_inst.result or None - if pred_inst.result and "mapswipe" in pred_inst.result: - results = pred_inst.result - else: - results_resp = client.get_project_results(pk) - results["mapswipe"] = results_resp - logging.info(f"Fetched MapSwipe results for project {pk}") - geojson_url = None - if ( - results_resp - and results_resp.get( - "exportAggregatedResultsWithGeometry" - ) - and results_resp[ - "exportAggregatedResultsWithGeometry" - ].get("file") - ): - geojson_url = results_resp[ - "exportAggregatedResultsWithGeometry" - ]["file"].get("url", None) - - if geojson_url: - task = process_mapswipe_results.apply_async( - kwargs={ - "prediction_request_id": pred_inst.id, - }, - queue=( - "predictions" - ), # using same queue as prediction for now , on future we can have different queue if it gets overhelming at any point, which i don't assume it will be but if it does bravooo we have massive usage haha - ) - results["mapswipe"]["pmtiles_conversion_status"] = ( - "SUBMITTED" - ) - results["mapswipe"]["task_id"] = task.id - logging.info( - f"Mapswipe results processing queued with task ID {task.id}" - ) - pred_inst.result = results - pred_inst.save() - - project_details["results"] = results - - except Exception as e: - logging.error( - f"Error fetching or processing MapSwipe results for project {pk}: {str(e)}" - ) - project_details["results"] = { - "error": "Failed to fetch or process results" - } - return APIResponse.success( - data=project_details, - message="Project details retrieved successfully", - ) - except httpx.HTTPStatusError as e: - if e.response.status_code == 404: - return APIResponse.not_found( - message=f"MapSwipe project with ID {pk} not found or not associated with any prediction id" - ) - return APIResponse.external_service_error( - message=f"MapSwipe service returned error: {e.response.status_code}" - ) - except RuntimeError as e: - return APIResponse.external_service_error( - message=f"MapSwipe service error: {str(e)}" - ) - except httpx.HTTPError as e: - return APIResponse.external_service_error( - message=f"Failed to communicate with MapSwipe: {str(e)}" - ) - except Http404 as e: - return APIResponse.not_found( - message=f"MapSwipe project with ID {pk} is not associated with any predictions" - ) - except Exception as e: - return APIResponse.error( - code=APIResponseCodes.EXTERNAL_SERVICE_ERROR, - message=f"Unexpected error retrieving project: {str(e)}", - status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, - ) diff --git a/backend/login/migrations/__init__.py b/backend/datasets/__init__.py similarity index 100% rename from backend/login/migrations/__init__.py rename to backend/datasets/__init__.py diff --git a/backend/datasets/admin.py b/backend/datasets/admin.py new file mode 100644 index 000000000..948b58d00 --- /dev/null +++ b/backend/datasets/admin.py @@ -0,0 +1,23 @@ +from django.contrib.gis import admin as geoadmin + +from .models import AOI, Dataset + + +@geoadmin.register(Dataset) +class DatasetAdmin(geoadmin.GISModelAdmin): + list_display = ["title", "stac_id", "build_status", "user", "created_at"] + list_filter = ["build_status", "created_at"] + search_fields = ["title", "stac_id", "user__username"] + readonly_fields = ["created_at", "last_modified"] + date_hierarchy = "created_at" + list_per_page = 50 + autocomplete_fields = ["user"] + + +@geoadmin.register(AOI) +class AOIAdmin(geoadmin.GISModelAdmin): + list_display = ["id", "dataset", "user", "created_at"] + list_filter = ["created_at"] + readonly_fields = ["created_at", "last_modified"] + autocomplete_fields = ["dataset", "user"] + list_per_page = 50 diff --git a/backend/datasets/apps.py b/backend/datasets/apps.py new file mode 100644 index 000000000..ba10c4181 --- /dev/null +++ b/backend/datasets/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class DatasetsConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "datasets" diff --git a/backend/datasets/migrations/0001_initial.py b/backend/datasets/migrations/0001_initial.py new file mode 100644 index 000000000..bee60c3a5 --- /dev/null +++ b/backend/datasets/migrations/0001_initial.py @@ -0,0 +1,62 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.contrib.gis.db.models.fields +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='Dataset', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('stac_id', models.CharField(max_length=200, unique=True)), + ('title', models.CharField(max_length=200)), + ('source_imagery', models.URLField()), + ('build_status', models.CharField(choices=[('draft', 'Draft'), ('building', 'Building'), ('published', 'Published'), ('failed', 'Failed')], default='draft', max_length=20)), + ('build_error', models.TextField(blank=True)), + ('created_at', models.DateTimeField(auto_now_add=True)), + ('last_modified', models.DateTimeField(auto_now=True)), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='datasets', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'ordering': ['-created_at'], + }, + ), + migrations.CreateModel( + name='AOI', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('geom', django.contrib.gis.db.models.fields.PolygonField(srid=4326)), + ('created_at', models.DateTimeField(auto_now_add=True)), + ('last_modified', models.DateTimeField(auto_now=True)), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='aois', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ('dataset', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='aois', to='datasets.dataset')), + ], + ), + migrations.AddIndex( + model_name='dataset', + index=models.Index(fields=['build_status'], name='datasets_da_build_s_7fd7fa_idx'), + ), + migrations.AddIndex( + model_name='dataset', + index=models.Index(fields=['user'], name='datasets_da_user_id_cd431e_idx'), + ), + migrations.AddIndex( + model_name='aoi', + index=models.Index(fields=['dataset'], name='datasets_ao_dataset_dde84b_idx'), + ), + migrations.AddIndex( + model_name='aoi', + index=models.Index(fields=['geom'], name='aoi_geom_gist_idx', opclasses=['gist']), + ), + ] diff --git a/backend/core/migrations/0002_remove_training_chips_length.py b/backend/datasets/migrations/0002_remove_dataset_build_error.py similarity index 53% rename from backend/core/migrations/0002_remove_training_chips_length.py rename to backend/datasets/migrations/0002_remove_dataset_build_error.py index e5455d76a..8b89e7527 100644 --- a/backend/core/migrations/0002_remove_training_chips_length.py +++ b/backend/datasets/migrations/0002_remove_dataset_build_error.py @@ -1,4 +1,4 @@ -# Generated by Django 4.1.4 on 2024-05-30 15:35 +# Generated by Django 6.0.4 on 2026-05-05 14:15 from django.db import migrations @@ -6,12 +6,12 @@ class Migration(migrations.Migration): dependencies = [ - ('core', '0001_initial'), + ('datasets', '0001_initial'), ] operations = [ migrations.RemoveField( - model_name='training', - name='chips_length', + model_name='dataset', + name='build_error', ), ] diff --git a/backend/fairproject/utils.py b/backend/datasets/migrations/__init__.py similarity index 100% rename from backend/fairproject/utils.py rename to backend/datasets/migrations/__init__.py diff --git a/backend/datasets/models.py b/backend/datasets/models.py new file mode 100644 index 000000000..388afaa5c --- /dev/null +++ b/backend/datasets/models.py @@ -0,0 +1,58 @@ +from django.contrib.gis.db import models as geomodels +from django.db import models, transaction + +from accounts.models import OsmUser +from shared.validators import validate_geometry + + +class Dataset(models.Model): + class BuildStatus(models.TextChoices): + DRAFT = "draft", "Draft" + BUILDING = "building", "Building" + PUBLISHED = "published", "Published" + FAILED = "failed", "Failed" + + stac_id = models.CharField(max_length=200, unique=True) + title = models.CharField(max_length=200) + source_imagery = models.URLField() + build_status = models.CharField( + max_length=20, choices=BuildStatus.choices, default=BuildStatus.DRAFT + ) + user = models.ForeignKey( + OsmUser, to_field="osm_id", on_delete=models.CASCADE, related_name="datasets" + ) + created_at = models.DateTimeField(auto_now_add=True) + last_modified = models.DateTimeField(auto_now=True) + + class Meta: + indexes = [ + models.Index(fields=["build_status"]), + models.Index(fields=["user"]), + ] + ordering = ["-created_at"] + + def __str__(self) -> str: + return f"{self.title} ({self.stac_id})" + + +class AOI(models.Model): + dataset = models.ForeignKey( + Dataset, on_delete=models.CASCADE, related_name="aois", null=True, blank=True + ) + geom = geomodels.PolygonField(srid=4326) + user = models.ForeignKey( + OsmUser, to_field="osm_id", on_delete=models.CASCADE, related_name="aois" + ) + created_at = models.DateTimeField(auto_now_add=True) + last_modified = models.DateTimeField(auto_now=True) + + class Meta: + indexes = [ + models.Index(fields=["dataset"]), + models.Index(fields=["geom"], name="aoi_geom_gist_idx", opclasses=["gist"]), + ] + + @transaction.atomic + def clean(self) -> None: + if self.geom: + self.geom = validate_geometry(self.geom) diff --git a/backend/datasets/serializers.py b/backend/datasets/serializers.py new file mode 100644 index 000000000..063601f41 --- /dev/null +++ b/backend/datasets/serializers.py @@ -0,0 +1,155 @@ +from django.conf import settings +from drf_spectacular.utils import extend_schema_field +from rest_framework import serializers +from rest_framework_gis.serializers import GeoFeatureModelSerializer + +from notifications.serializers import UserSerializer +from shared.integrations.stac import DATASETS_COLLECTION +from shared.serializers import StacFacetSerializer + +from .models import AOI, Dataset + +_TMS_PLACEHOLDERS = ("{x}", "{y}", "{z}") + + +def _validate_tms_url(value: str) -> str: + missing = [p for p in _TMS_PLACEHOLDERS if p not in value] + if missing: + raise serializers.ValidationError( + f"TMS URL must contain placeholders: {', '.join(missing)}" + ) + return value + + +class DatasetCreateSerializer(serializers.Serializer): + title = serializers.CharField(max_length=200) + description = serializers.CharField() + source_imagery = serializers.URLField() + zoom = serializers.IntegerField(min_value=14, max_value=22) + aoi_ids = serializers.ListField(child=serializers.IntegerField(), min_length=1) + label_tasks = serializers.ListField( + child=serializers.ChoiceField( + choices=[ + "semantic-segmentation", + "instance-segmentation", + "object-detection", + "classification", + ] + ), + min_length=1, + ) + label_classes = serializers.ListField( + child=serializers.DictField(), + min_length=1, + help_text=( + 'Each entry: {"name": OSM tag key, "classes": list of OSM tag ' + 'values OR ["*"] for any value}. e.g. ' + '{"name": "building", "classes": ["yes"]} or ' + '{"name": "amenity", "classes": ["hospital", "school"]}.' + ), + ) + keywords = serializers.ListField(child=serializers.CharField(max_length=80), min_length=1) + label_type = serializers.ChoiceField(choices=["vector", "raster"], default="vector") + geometry_type = serializers.ChoiceField( + choices=["point", "line", "polygon"], + help_text=( + "OSM geometry bucket to fetch labels from. A dataset is " + "single-geometry-type; mixing requires separate datasets." + ), + ) + + def validate_source_imagery(self, value: str) -> str: + return _validate_tms_url(value) + + def validate_label_classes(self, value: list[dict]) -> list[dict]: + for index, cls in enumerate(value): + if "name" not in cls or not cls["name"]: + raise serializers.ValidationError( + f"label_classes[{index}] must include a non-empty 'name'" + ) + classes = cls.get("classes") + if not isinstance(classes, list) or not classes: + raise serializers.ValidationError( + f"label_classes[{index}] must include a non-empty 'classes' list " + '(use ["*"] for any value, or specific OSM tag values like ["yes"])' + ) + return value + + +class DatasetAssetsSerializer(serializers.Serializer): + chips = serializers.URLField() + labels = serializers.URLField() + + +class DatasetSerializer(serializers.ModelSerializer): + user = UserSerializer(read_only=True) + stac_url = serializers.SerializerMethodField() + star_count = serializers.IntegerField(read_only=True, default=0) + is_starred = serializers.BooleanField(read_only=True, default=False) + stac = serializers.SerializerMethodField() + assets = serializers.SerializerMethodField() + + class Meta: + model = Dataset + fields = [ + "id", + "stac_id", + "title", + "source_imagery", + "build_status", + "stac_url", + "user", + "star_count", + "is_starred", + "stac", + "assets", + "created_at", + "last_modified", + ] + read_only_fields = [ + "id", + "stac_id", + "build_status", + "stac_url", + "user", + "star_count", + "is_starred", + "stac", + "assets", + "created_at", + "last_modified", + ] + + def get_stac_url(self, obj: Dataset) -> str: + return f"{settings.FAIR_STAC_API_URL}/collections/{DATASETS_COLLECTION}/items/{obj.stac_id}" + + @extend_schema_field(StacFacetSerializer(allow_null=True)) + def get_stac(self, obj: Dataset) -> dict | None: + items = self.context.get("stac_items_by_id") or {} + return items.get((DATASETS_COLLECTION, obj.stac_id)) + + @extend_schema_field(DatasetAssetsSerializer(allow_null=True)) + def get_assets(self, obj: Dataset) -> dict[str, str] | None: + if obj.build_status != Dataset.BuildStatus.PUBLISHED: + return None + from shared.storage import StoragePaths, presigned_get_url + + stac_id = str(obj.stac_id) + return { + "chips": presigned_get_url(StoragePaths.dataset_chips_dir_key(stac_id)), + "labels": presigned_get_url(StoragePaths.dataset_labels_geojson_key(stac_id)), + } + + +class AOISerializer(GeoFeatureModelSerializer): + user = UserSerializer(read_only=True) + + class Meta: + model = AOI + geo_field = "geom" + # Inline the pk in `properties` rather than the GeoJSON top-level "id" + # so drf-spectacular's GIS extension can build the schema cleanly. + id_field = False + auto_bbox = False + fields = ["id", "dataset", "geom", "user", "created_at", "last_modified"] + read_only_fields = ["id", "user", "created_at", "last_modified"] diff --git a/backend/datasets/tasks.py b/backend/datasets/tasks.py new file mode 100644 index 000000000..029a58484 --- /dev/null +++ b/backend/datasets/tasks.py @@ -0,0 +1,206 @@ +import asyncio +import json +import logging +import tempfile +from pathlib import Path +from typing import Any, Literal, cast + +from django.conf import settings +from django_tasks import task +from upath import UPath + +from shared.integrations.stac import DATASETS_COLLECTION, invalidate_stac_cache +from shared.integrations.zenml import for_user +from shared.storage import BackendDatasetPaths, StoragePaths + +from .models import AOI, Dataset + +logger = logging.getLogger(__name__) + + +@task() +def build_dataset( + *, + dataset_id: int, + description: str, + label_tasks: list[str], + label_classes: list[dict[str, Any]], + keywords: list[str], + label_type: str, + zoom: int, + geometry_type: str, +) -> None: + """Materialize chips + OSM labels for the AOIs attached to `dataset_id`, + upload to S3, and register the result as a STAC dataset item. + """ + from fair.stac.builders import DatasetItemParams + + dataset = Dataset.objects.get(id=dataset_id) + try: + chips_href, labels_href, geometry, bbox = _materialize_dataset_assets( + dataset, + zoom=zoom, + label_classes=label_classes, + geometry_type=geometry_type, + ) + params = DatasetItemParams( + label_type=cast(Literal["vector", "raster"], label_type), + label_tasks=label_tasks, + label_classes=label_classes, + keywords=keywords, + chips_href=chips_href, + labels_href=labels_href, + title=dataset.title, + description=description, + user_id=str(dataset.user.osm_id), + item_id=dataset.stac_id, + providers=[ + { + "name": dataset.user.username or str(dataset.user.osm_id), + "roles": ["producer"], + } + ], + source_imagery_href=dataset.source_imagery, + geometry=geometry, + bbox=bbox, + geometry_type=cast(Literal["point", "line", "polygon"], geometry_type), + ) + client = for_user(str(dataset.user.osm_id)) + published_id = client.register_dataset(params, paths=BackendDatasetPaths) + dataset.stac_id = published_id + dataset.build_status = Dataset.BuildStatus.PUBLISHED + dataset.save(update_fields=["stac_id", "build_status", "last_modified"]) + invalidate_stac_cache(DATASETS_COLLECTION, published_id) + except Exception: + logger.exception("dataset build failed for %s", dataset_id) + dataset.build_status = Dataset.BuildStatus.FAILED + dataset.save(update_fields=["build_status", "last_modified"]) + raise + + +def _build_osm_filters(label_classes: list[dict[str, Any]], geometry_type: str) -> dict[str, Any]: + """Build a raw-data API `filters` block from a STAC `label_classes` list. + + Each entry's ``name`` is the OSM tag key, ``classes`` is the value list + (``["*"]`` is the wildcard sentinel mapped to empty list = any value). + """ + join_or = { + cls["name"]: ([] if cls["classes"] == ["*"] else list(cls["classes"])) + for cls in label_classes + } + return {"tags": {geometry_type: {"join_or": join_or}}} + + +def _stamp_class_label(feat: dict[str, Any], label_classes: list[dict[str, Any]]) -> int | None: + """Stamp `properties.label = i+1` for the first matching label_classes entry. + + Returns the assigned class index (1-based; 0 reserved for background) or + ``None`` if no class matched (defensive — raw-data API only returns + matching features, so this should not fire in practice). + """ + tags = (feat.get("properties") or {}).get("tags") or {} + for index, cls in enumerate(label_classes, start=1): + key = cls["name"] + values = cls["classes"] + if key not in tags: + continue + if values == ["*"] or tags[key] in values: + feat.setdefault("properties", {})["label"] = index + return index + return None + + +def _materialize_dataset_assets( + dataset: Dataset, + *, + zoom: int, + label_classes: list[dict[str, Any]], + geometry_type: str, +) -> tuple[str, str, dict[str, Any], list[float]]: + """Download chips + OSM labels for `dataset` and stage them on S3. + Returns (chips_prefix, labels_prefix, union_geom, bbox). + """ + from django.contrib.gis.db.models import Union as GeomUnion + from geomltoolkits.downloader.osm import download_osm_data + from geomltoolkits.downloader.tms import download_tiles + + aois: list[AOI] = list(dataset.aois.all()) + if not aois: + raise RuntimeError(f"Dataset {dataset.id} has no AOIs to materialize") + + stac_id = str(dataset.stac_id) + chips_prefix = UPath(StoragePaths.dataset_chips_dir_uri(stac_id)) + labels_prefix = UPath(StoragePaths.dataset_labels_dir_uri(stac_id)) + labels_file = labels_prefix / "labels.geojson" + + union = dataset.aois.aggregate(geom=GeomUnion("geom"))["geom"] + geometry: dict[str, Any] = json.loads(union.geojson) + if geometry["type"] == "Polygon": + geometry = {"type": "MultiPolygon", "coordinates": [geometry["coordinates"]]} + bbox = [float(v) for v in union.extent] + + osm_filters = _build_osm_filters(label_classes, geometry_type) + + # Dedupe overlapping-AOI features by OSM identity. Chip filenames are + # tile-coord-deterministic so overlapping writes are idempotent. + osm_features: dict[tuple[Any, Any], dict[str, Any]] = {} + with tempfile.TemporaryDirectory(prefix=f"fair-build-{dataset.id}-") as tmp: + for aoi in aois: + aoi_geojson = aoi.geom.geojson + local_chips = Path( + asyncio.run( + download_tiles( + tms=str(dataset.source_imagery), + zoom=zoom, + out=str(Path(tmp) / f"aoi-{aoi.id}"), + geojson=aoi_geojson, + georeference=True, + ) + ) + ) + for src in local_chips.rglob("*"): + if src.is_file(): + dst = chips_prefix / src.relative_to(local_chips) + dst.write_bytes(src.read_bytes()) + + osm = asyncio.run( + download_osm_data( + geojson=aoi_geojson, + api_url=str(settings.RAW_DATA_API_URL), + filters=osm_filters, + geometry_types=[geometry_type], + ) + ) + for feat in osm.get("features", []): + props = feat.get("properties") or {} + key = (props.get("osm_id"), props.get("osm_type")) + osm_features.setdefault(key, feat) + + # Multi-class label stamping: each feature gets `label = i+1` matching the + # first label_classes entry whose tag key/value the feature carries. + # 0 is reserved for background. Features matching no class are dropped. + features: list[dict[str, Any]] = [] + skipped = 0 + for feat in osm_features.values(): + if _stamp_class_label(feat, label_classes) is None: + skipped += 1 + continue + features.append(feat) + if skipped: + logger.warning( + "Dataset %s: %d OSM features did not match any label_classes entry; dropped", + dataset.id, + skipped, + ) + + labels_file.write_text(json.dumps({"type": "FeatureCollection", "features": features})) + + logger.info( + "Dataset %s: %d AOIs -> chips %s, labels %s (%d features)", + dataset.id, + len(aois), + chips_prefix, + labels_prefix, + len(features), + ) + return str(chips_prefix), str(labels_prefix), geometry, bbox diff --git a/backend/datasets/urls.py b/backend/datasets/urls.py new file mode 100644 index 000000000..872705c36 --- /dev/null +++ b/backend/datasets/urls.py @@ -0,0 +1,13 @@ +from django.urls import include, path +from rest_framework import routers + +from .views import AOIViewSet, DatasetViewSet, GenerateGpxView + +router = routers.DefaultRouter() +router.register(r"datasets", DatasetViewSet) +router.register(r"aois", AOIViewSet) + +urlpatterns = [ + path("", include(router.urls)), + path("aois/gpx//", GenerateGpxView.as_view(), name="aoi-gpx"), +] diff --git a/backend/datasets/views.py b/backend/datasets/views.py new file mode 100644 index 000000000..c8c94e882 --- /dev/null +++ b/backend/datasets/views.py @@ -0,0 +1,213 @@ +import secrets + +from django.http import HttpResponse +from django.shortcuts import get_object_or_404 +from django.utils.text import slugify +from django_filters.rest_framework import DjangoFilterBackend +from drf_spectacular.types import OpenApiTypes +from drf_spectacular.utils import OpenApiResponse, extend_schema, extend_schema_view +from gpxpy.gpx import GPX, GPXTrack, GPXTrackPoint, GPXTrackSegment +from rest_framework import filters, status, viewsets +from rest_framework.decorators import action +from rest_framework.permissions import IsAuthenticated +from rest_framework.response import Response +from rest_framework.views import APIView +from rest_framework_gis.filters import InBBoxFilter + +from accounts.authentication import OsmAuthentication +from accounts.permissions import IsAdmin, IsOwnerOrAdminOrReadOnly +from shared.integrations.stac import ( + DATASETS_COLLECTION, + FAIR_PINNED_PROPERTY, + bulk_get_cached_items, + get_cached_item, + set_item_property, +) + +from .models import AOI, Dataset +from .serializers import AOISerializer, DatasetCreateSerializer, DatasetSerializer +from .tasks import build_dataset + + +def _wants_expand_stac(request) -> bool: + return request.query_params.get("expand") == "stac" + + +@extend_schema_view( + list=extend_schema( + description=( + "List datasets the caller can read. Default response is DB-only. " + "Pass `?expand=stac` to inline catalog metadata from STAC per row." + ), + ), + create=extend_schema(description="Create a Dataset record without launching a build."), + retrieve=extend_schema( + description=( + "Retrieve one dataset by id. Pass `?expand=stac` to inline catalog metadata from STAC." + ), + ), + update=extend_schema(description="Replace a dataset (owner/admin only)."), + partial_update=extend_schema(description="Patch a dataset (owner/admin only)."), + destroy=extend_schema(description="Delete a dataset (owner/admin only)."), + pin=extend_schema( + description=( + "Toggle the `fair:pinned` STAC property on the dataset (admin only). " + "Writes via read-modify-publish;" + ), + ), + build=extend_schema(description="Submit a dataset build job for the given AOIs."), +) +class DatasetViewSet(viewsets.ModelViewSet): + queryset = Dataset.objects.all() + serializer_class = DatasetSerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated, IsOwnerOrAdminOrReadOnly] + filter_backends = [DjangoFilterBackend, filters.OrderingFilter, filters.SearchFilter] + filterset_fields = ["build_status", "user"] + search_fields = ["title", "stac_id"] + ordering_fields = ["created_at", "last_modified"] + + def get_queryset(self): + from shared.stars import annotate_stars + + return annotate_stars(Dataset.objects.all(), self.request) + + def get_permissions(self): + if self.action == "pin": + return [IsAuthenticated(), IsAdmin()] + return super().get_permissions() + + def get_serializer_context(self): + context = super().get_serializer_context() + context["stac_items_by_id"] = self._stac_items_for_request() + return context + + def _stac_items_for_request(self) -> dict: + if not _wants_expand_stac(self.request): + return {} + if self.action == "retrieve": + obj = self.get_object() + payload = get_cached_item(DATASETS_COLLECTION, obj.stac_id) + return {(DATASETS_COLLECTION, obj.stac_id): payload} + if self.action == "list": + page = self.paginate_queryset(self.filter_queryset(self.get_queryset())) + if page is None: + page = list(self.filter_queryset(self.get_queryset())) + self._cached_page = page + pairs = [(DATASETS_COLLECTION, d.stac_id) for d in page] + return bulk_get_cached_items(pairs) + return {} + + def list(self, request, *args, **kwargs): + if _wants_expand_stac(request): + self.get_serializer_context() + page = getattr(self, "_cached_page", None) + if page is not None and self.paginator is not None: + serializer = self.get_serializer(page, many=True) + return self.get_paginated_response(serializer.data) + return super().list(request, *args, **kwargs) + + @action(detail=True, methods=["patch"], url_path="pin") + def pin(self, request, pk: int | None = None) -> Response: + dataset = self.get_object() + desired = bool(request.data.get("is_pinned", True)) + stac_item = set_item_property( + DATASETS_COLLECTION, dataset.stac_id, FAIR_PINNED_PROPERTY, desired + ) + serializer = self.get_serializer( + dataset, + context={ + **self.get_serializer_context(), + "stac_items_by_id": {(DATASETS_COLLECTION, dataset.stac_id): stac_item}, + }, + ) + return Response(serializer.data, status=status.HTTP_200_OK) + + @extend_schema(request=DatasetCreateSerializer, responses={202: DatasetSerializer}) + @action(detail=False, methods=["post"], url_path="build") + def build(self, request) -> Response: + serializer = DatasetCreateSerializer(data=request.data) + serializer.is_valid(raise_exception=True) + payload = serializer.validated_data + + aoi_qs = AOI.objects.filter(id__in=payload["aoi_ids"], user=request.user) + if aoi_qs.count() != len(payload["aoi_ids"]): + return Response( + {"detail": "One or more aoi_ids not found or not owned by user."}, + status=status.HTTP_404_NOT_FOUND, + ) + + dataset = Dataset.objects.create( + stac_id=_slugify(payload["title"]), + title=payload["title"], + source_imagery=payload["source_imagery"], + build_status=Dataset.BuildStatus.BUILDING, + user=request.user, + ) + aoi_qs.update(dataset=dataset) + + build_dataset.enqueue( + dataset_id=dataset.id, + description=payload["description"], + label_tasks=payload["label_tasks"], + label_classes=payload["label_classes"], + keywords=payload["keywords"], + label_type=payload["label_type"], + zoom=payload["zoom"], + geometry_type=payload["geometry_type"], + ) + return Response(DatasetSerializer(dataset).data, status=status.HTTP_202_ACCEPTED) + + +@extend_schema_view( + list=extend_schema(description="List AOIs visible to the caller, optionally filtered by bbox."), + create=extend_schema(description="Create an AOI polygon owned by the caller."), + retrieve=extend_schema(description="Retrieve one AOI by id."), + update=extend_schema(description="Replace an AOI (owner/admin only)."), + partial_update=extend_schema(description="Patch an AOI (owner/admin only)."), + destroy=extend_schema(description="Delete an AOI (owner/admin only)."), +) +class AOIViewSet(viewsets.ModelViewSet): + queryset = AOI.objects.all() + serializer_class = AOISerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated, IsOwnerOrAdminOrReadOnly] + filter_backends = [DjangoFilterBackend, InBBoxFilter] + filterset_fields = ["dataset", "user"] + bbox_filter_field = "geom" + bbox_filter_include_overlapping = True + + def perform_create(self, serializer) -> None: + serializer.save(user=self.request.user) + + +@extend_schema(tags=["datasets"]) +class GenerateGpxView(APIView): + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated] + + @extend_schema( + description="Export the AOI's polygon boundary as a GPX track XML file.", + responses=OpenApiResponse( + OpenApiTypes.STR, + description="GPX track XML for the AOI's polygon boundary.", + ), + ) + def get(self, request, aoi_id: int) -> HttpResponse: + aoi = get_object_or_404(AOI, id=aoi_id) + gpx = GPX() + track = GPXTrack(name=f"AOI {aoi.id}") + gpx.tracks.append(track) + segment = GPXTrackSegment() + track.segments.append(segment) + for x, y in aoi.geom.coords[0]: + segment.points.append(GPXTrackPoint(latitude=y, longitude=x)) + return HttpResponse(gpx.to_xml(), content_type="application/xml") + + +def _slugify(value: str) -> str: + base = slugify(value) or "untitled" + return f"{base}-{secrets.token_hex(3)}" + + +__all__ = ["AOIViewSet", "DatasetViewSet", "GenerateGpxView"] diff --git a/backend/docker/cuda-libdevice/libdevice.10.bc b/backend/docker/cuda-libdevice/libdevice.10.bc deleted file mode 100644 index 18329f1f8..000000000 Binary files a/backend/docker/cuda-libdevice/libdevice.10.bc and /dev/null differ diff --git a/backend/docker_sample_env b/backend/docker_sample_env deleted file mode 100644 index 4f8520fc0..000000000 --- a/backend/docker_sample_env +++ /dev/null @@ -1,29 +0,0 @@ -DEBUG=True -SECRET_KEY=yl2w)c0boi_ma-1v5)935^2#&m*r!1s9z9^*9e5co^08_ixzo6 -DATABASE_URL=postgis://postgres:admin@pgsql:5432/ai -EXPORT_TOOL_API_URL=https://raw api url.hotosm.org/v1 -CORS_ALLOWED_ORIGINS=http://127.0.0.1:3000 -# Authentication: "legacy" (default) or "hanko" -AUTH_PROVIDER=legacy - -# Legacy OSM OAuth (when AUTH_PROVIDER=legacy) -OSM_CLIENT_ID= -OSM_CLIENT_SECRET= -OSM_URL=https://www.openstreetmap.org -OSM_SCOPE=read_prefs -OSM_LOGIN_REDIRECT_URI=http://127.0.0.1:3000/authenticate/ -OSM_SECRET_KEY= - -# Hanko SSO (when AUTH_PROVIDER=hanko) -# HANKO_API_URL=https://login.hotosm.org -# COOKIE_SECRET=shared-secret-for-cookie-encryption -# COOKIE_DOMAIN=.hotosm.org -# LOGIN_URL=https://login.hotosm.org -CELERY_BROKER_URL="redis://redis:6379/0" -CELERY_RESULT_BACKEND="redis://redis:6379/0" -RAMP_HOME="/RAMP_HOME" -TRAINING_WORKSPACE="/TRAINING_WORKSPACE" - -TESTING_TOKEN= -GDAL_LIBRARY_PATH='' -MAXAR_CONNECT_ID= \ No newline at end of file diff --git a/backend/docs/.$fAIr_backend.drawio.bkp b/backend/docs/.$fAIr_backend.drawio.bkp deleted file mode 100644 index b01e4edd3..000000000 --- a/backend/docs/.$fAIr_backend.drawio.bkp +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/backend/docs/backend_README.md b/backend/docs/backend_README.md deleted file mode 100644 index 8db695523..000000000 --- a/backend/docs/backend_README.md +++ /dev/null @@ -1,153 +0,0 @@ -## fAIr Backend - -This repository contains the backend sourcecode for the fAIr project. The backend -is composed of several services that are orchestrated using Docker Compose. - -The backend of fAIr is powered by - -- tensorflow:2.9.2 -- django 3.1.2 & geodjango -- celery and flower -- solaris - -The pretrained Convolutional Neural Network is base-model is provided by [radiant earth ramp baseline model](https://github.com/radiantearth/model_ramp_baseline) - -The CNN is an EfficientNet-UNet encoder-decoder semantic segmentation model. The baseline model have already been pretrained on 1,200,0000 labelled buildings across 22 individuals AOI. -The RAMP model was trained with a particular focus on informal settlements and partially constructed buildings, making it an appropriate base-model for HOT application. - -The platform that fAIr provides is a further fine-tuning of the base-line model which enhance the model efficiacy to the desired area. - -> The backend codebase and the containersed docker enviornment is currently optimised for deployment on an Debian AWS instance with 4GB. Nvidia GPU and 16 GB. RAM. - -> It is recommended to use the provided docker images and cloud instance to deploy the RAMP model. As the Docker images with model, model weights, and peripherial requirements will take up at least 10 Gb. of storage space. - -### Structure - -The backend codebase is organised into the following main directories and files: - -- [docker](../docker/): This directory contains the Docker configurations for the project. - - ramp: This directory contains the RAMP (Rapid Analytics and Model Prototyping) configurations. - - solaris: This directory contains the Solaris configurations, a Python library for piping and translation between geospatial and ML formats -- [requirements.txt](../requirements.txt): This file lists the Python dependencies required by the project. - -### Deploying - -The user can pull and deploy fAIr backend by running: - -```bash -docker build . -``` - -Before running the docker container, we need to obtain the pre-trained RAMP model. -We will also need to mount it: - -```bash -git clone https://github.com/kshitijrajsharma/ramp-code-fAIr.git ramp-code &&\ -pip install gdown &&\ -gdown --fuzzy 'https://drive.google.com/u/0/uc?id=1wvJhkiOrSlHmmvJ0avkAdu9sslFf5_I0&export=download' &&\ -unzip checkpoint.tf.zip -d ./ramp-code/ramp && rm -rf checkpoint.tf.zip -``` - -Run the built container using - -```bash -docker run . -``` - -Once insider the docker container, there are several more additional steps to communicate\ -with the database - -### Make sure you have postgresql installed with postgis extension enabled - -Configure .env: - -Create .env in the root backend project , and add the credentials as provided on .env_sample , Export your secret key and database url to your env - -```bash -# Export your database url -export DATABASE_URL=postgis://postgres:postgres@localhost:5432/ai -``` - -You will need more env variables (Such as Ramp home, Training Home) that can be found on `.sample_env` - -Now change your username, password and db name in settings.py accordingly to your database - -> The application is boostrapped by calling `manage.py` to bootstrap the geodjango application. - -```bash -python manage.py makemigrations login -python manage.py migrate login -python manage.py makemigrations core -python manage.py migrate core -python manage.py makemigrations -python manage.py migrate -python manage.py runserver -``` - -### Now server will be available in your 8000 port on web, you can check out your localhost:8000/admin for admin panel - -To login on admin panel, create your superuser and login with your credentials restarting the server - -```bash -python manage.py createsuperuser -``` - -### Authentication - -fAIr uses oauth2.0 Authentication using ![osm-login-python](https://github.com/kshitijrajsharma/osm-login-python) - -1. Get your login Url Hit /api/v1/auth/login/ - -- URL will give you login URL which you can use to provide your osm credentials and authorize fAIr -- After successful login you will get access-token that you can use across all osm login required endpoints in fAIr - -2. Check authentication by getting back your data Hit /api/v1/auth/me/ - -- URL requires access-token as header and in return you will see your osm username, id and image url - -### Start celery workers - -```bash -celery -A fairproject worker --loglevel=debug -n my_worker -``` - -Monitor using flower if you are using redis as result backend, api supports both options django / redis You can start flower to start monitoring your tasks - -```bash -celery -A fairproject --broker=redis://127.0.0.1:6379/0 flower -``` - -### Run Tests - -```bash -python manage.py test -``` - -### Services - -The backend is composedof the following services: - -- **PostgreSQL Database (with PostGIS)**: This service uses the `postgis/postgis` Docker image - to provide a spatial enabled RDBMS. This is where the geospatial data for this project is stored - -- **Redis**: This is an key-value in memory database for the queueing system for User/Instance/Worker celery. - This stores the user list and specifications of task requests for RAMP. - -- **App**: This is hte main application service. Built from the Dockerfile, the django and geodjango - bootstraps the various API communication services. - -- **Worker**: This is the Celery service that manages the AWS resources. The queueing process can be monitored using **Flower** - nke - -#### Flowchart - -![architecture_flowchart](./fAIr_backend.png) - -#### Ports - -The services are exposed on the following ports: - -- PostgreSQL: 5434 -- Redis: 6379 -- App: 8000 -- Worker Dashboard(Flower): 5500 diff --git a/backend/docs/fAIr_backend.drawio b/backend/docs/fAIr_backend.drawio deleted file mode 100644 index 91f4b90bb..000000000 --- a/backend/docs/fAIr_backend.drawio +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/backend/docs/fAIr_backend.png b/backend/docs/fAIr_backend.png deleted file mode 100644 index dd0acc6fa..000000000 Binary files a/backend/docs/fAIr_backend.png and /dev/null differ diff --git a/backend/fairproject/__init__.py b/backend/fairproject/__init__.py deleted file mode 100644 index 5568b6d79..000000000 --- a/backend/fairproject/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -# This will make sure the app is always imported when -# Django starts so that shared_task will use this app. -from .celery import app as celery_app - -__all__ = ("celery_app",) diff --git a/backend/fairproject/asgi.py b/backend/fairproject/asgi.py deleted file mode 100644 index d37f5c287..000000000 --- a/backend/fairproject/asgi.py +++ /dev/null @@ -1,16 +0,0 @@ -""" -ASGI config for djangoproject project. - -It exposes the ASGI callable as a module-level variable named ``application``. - -For more information on this file, see -https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/ -""" - -import os - -from django.core.asgi import get_asgi_application - -os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djangoproject.settings') - -application = get_asgi_application() diff --git a/backend/fairproject/celery.py b/backend/fairproject/celery.py deleted file mode 100644 index f073d827a..000000000 --- a/backend/fairproject/celery.py +++ /dev/null @@ -1,29 +0,0 @@ -""" -https://docs.celeryq.dev/en/stable/django/first-steps-with-django.html -""" -from __future__ import absolute_import - -import os - -from celery import Celery -from django.conf import settings - -# this code copied from manage.py -# set the default Django settings module for the 'celery' app. -os.environ.setdefault("DJANGO_SETTINGS_MODULE", "fairproject.settings") - -# app name -app = Celery("fairproject") - -# read config from Django settings, the CELERY namespace would make celery -# config keys has `CELERY` prefix -app.config_from_object("django.conf:settings", namespace="CELERY") -app.conf.task_track_started = True - -# discover and load tasks.py from from all registered Django apps -app.autodiscover_tasks(lambda: settings.INSTALLED_APPS) - - -@app.task(bind=True) -def debug_task(self): - print("Request: {0!r}".format(self.request)) diff --git a/backend/fairproject/settings.py b/backend/fairproject/settings.py deleted file mode 100644 index 6a7644373..000000000 --- a/backend/fairproject/settings.py +++ /dev/null @@ -1,576 +0,0 @@ -import os -from socket import gethostbyname, gethostname -from urllib.parse import urlparse - -import boto3 -import dj_database_url -import environ -from corsheaders.defaults import default_headers - -env = environ.Env() -BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -env_file = os.environ.get("ENV_FILE", ".env") -env_path = os.path.join(BASE_DIR, env_file) -if os.path.exists(env_path): - environ.Env.read_env(env_path) - -DEBUG = env.bool("DEBUG", default=False) - -if DEBUG: - SECRET_KEY = env("SECRET_KEY", default="dev-unsafe-key-change-in-production-12345") -else: - SECRET_KEY = env("SECRET_KEY") - -LOG_PATH = env("LOG_PATH", default=os.path.join(BASE_DIR, "logs")) -os.makedirs(LOG_PATH, exist_ok=True) - -TRAINING_WORKSPACE = env( - "TRAINING_WORKSPACE", default=os.path.join(BASE_DIR, "training") -) -PREDICTION_WORKSPACE = env( - "PREDICTION_WORKSPACE", default=os.path.join(BASE_DIR, "prediction") -) - - -FRONTEND_URL = env("FRONTEND_URL", default="https://fair-dev.hotosm.org") -API_BASE_URL = env("API_BASE_URL", default="https://fair-dev.hotosm.org/api/v1") -HOSTNAME = env("HOSTNAME", default="https://fair-dev.hotosm.org") - -EXPORT_TOOL_API_URL = env( - "EXPORT_TOOL_API_URL", default="https://api-prod.raw-data.hotosm.org/v1" -) - -if env("GDAL_LIBRARY_PATH", default=None): - GDAL_LIBRARY_PATH = env("GDAL_LIBRARY_PATH") - - -OSM_CLIENT_ID = env("OSM_CLIENT_ID", default="debug-client-id") -OSM_CLIENT_SECRET = env("OSM_CLIENT_SECRET", default="debug-client-secret") -OSM_SECRET_KEY = env("OSM_SECRET_KEY", default="debug-secret-key") - -OSM_URL = env("OSM_URL", default="https://www.openstreetmap.org") -OSM_SCOPE = env("OSM_SCOPE", default="read_prefs") -OSM_LOGIN_REDIRECT_URI = env( - "OSM_LOGIN_REDIRECT_URI", - default="http://127.0.0.1:8000/api/v1/auth/callback/" if DEBUG else None, -) - -# Authentication provider constants -class AuthProvider: - LEGACY = "legacy" - HANKO = "hanko" - - -AUTH_PROVIDER = env("AUTH_PROVIDER", default=AuthProvider.LEGACY) - -if AUTH_PROVIDER == AuthProvider.HANKO: - HANKO_API_URL = env("HANKO_API_URL") - COOKIE_SECRET = env("COOKIE_SECRET") - COOKIE_DOMAIN = env("COOKIE_DOMAIN", default=None) - COOKIE_SECURE = env.bool("COOKIE_SECURE", default=not DEBUG) - JWT_AUDIENCE = env("JWT_AUDIENCE", default=None) - - LOGIN_URL = env("LOGIN_URL", default="https://login.hotosm.org") - - OSM_REDIRECT_URI = env( - "OSM_REDIRECT_URI", - default="http://127.0.0.1:8000/api/v1/auth/osm/callback/" if DEBUG else None, - ) - - -USE_S3_TO_UPLOAD_MODELS = env.bool("USE_S3_TO_UPLOAD_MODELS", default=False) - - -if USE_S3_TO_UPLOAD_MODELS: - BUCKET_NAME = env("BUCKET_NAME", default="fair-dev") - PARENT_BUCKET_FOLDER = env("PARENT_BUCKET_FOLDER", default="dev") - AWS_REGION = env("AWS_REGION", default="us-east-1") - AWS_ACCESS_KEY_ID = env("AWS_ACCESS_KEY_ID", default=None) - AWS_SECRET_ACCESS_KEY = env("AWS_SECRET_ACCESS_KEY", default=None) - PRESIGNED_URL_EXPIRY = env.int("PRESIGNED_URL_EXPIRY", default=3600) - - if AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY: - S3_CLIENT = boto3.client( - "s3", - aws_access_key_id=AWS_ACCESS_KEY_ID, - aws_secret_access_key=AWS_SECRET_ACCESS_KEY, - region_name=AWS_REGION, - ) - else: - S3_CLIENT = boto3.client("s3") - -EPOCHS_LIMIT = env.int("EPOCHS_LIMIT", default=20) -BATCH_SIZE_LIMIT = env.int("BATCH_SIZE_LIMIT", default=8) - -YOLO_EPOCHS_LIMIT = env.int("YOLO_EPOCHS_LIMIT", default=200) -YOLO_BATCH_SIZE_LIMIT = env.int("YOLO_BATCH_SIZE_LIMIT", default=8) - -RAMP_EPOCHS_LIMIT = env.int("RAMP_EPOCHS_LIMIT", default=40) -RAMP_BATCH_SIZE_LIMIT = env.int("RAMP_BATCH_SIZE_LIMIT", default=8) - - -SUPPORTED_TRAINING_ZOOM_LEVELS = env.list( - "SUPPORTED_TRAINING_ZOOM_LEVELS", default=[18, 19, 20, 21] -) - -TRAINING_WORKSPACE_DOWNLOAD_LIMIT = env.int( - "TRAINING_WORKSPACE_DOWNLOAD_LIMIT", default=200 -) - -FGB_MAX_BBOX_AREA_KM2 = env.float("FGB_MAX_BBOX_AREA_KM2", default=10000.0) -FGB_MAX_BBOX_DIMENSION_KM = env.float("FGB_MAX_BBOX_DIMENSION_KM", default=500.0) -FGB_MAX_FEATURES_LIMIT = env.int("FGB_MAX_FEATURES_LIMIT", default=50000) -FGB_REQUEST_TIMEOUT = env.int("FGB_REQUEST_TIMEOUT", default=60) -FGB_USE_ARROW_FOR_STREAMING = env.bool("FGB_USE_ARROW_FOR_STREAMING", default=True) - -INSTALLED_APPS = [ - "django.contrib.admin", - "django.contrib.auth", - "django.contrib.postgres", - "django.contrib.contenttypes", - "django.contrib.sessions", - "django.contrib.messages", - "django.contrib.staticfiles", - "django.contrib.gis", - "leaflet", - "rest_framework", - "rest_framework_gis", - "django_filters", - "corsheaders", - "drf_spectacular", - "celery", - "django_celery_results", - "django_q", - "core", - "login", -] - -if AUTH_PROVIDER == AuthProvider.HANKO: - INSTALLED_APPS.append("hotosm_auth_django") - -MIDDLEWARE = [ - "corsheaders.middleware.CorsMiddleware", - "django.middleware.security.SecurityMiddleware", - "django.contrib.sessions.middleware.SessionMiddleware", - "django.middleware.common.CommonMiddleware", - "django.middleware.csrf.CsrfViewMiddleware", - "django.contrib.auth.middleware.AuthenticationMiddleware", - "django.contrib.messages.middleware.MessageMiddleware", - "django.middleware.clickjacking.XFrameOptionsMiddleware", -] - -if AUTH_PROVIDER == AuthProvider.HANKO: - MIDDLEWARE.insert( - MIDDLEWARE.index("django.contrib.auth.middleware.AuthenticationMiddleware"), - "hotosm_auth_django.HankoAuthMiddleware", - ) - - LOGIN_INTERNAL_API_KEY = env("LOGIN_INTERNAL_API_KEY", default="") - LOGIN_BACKEND_URL = env("LOGIN_BACKEND_URL", default=LOGIN_URL) - if LOGIN_INTERNAL_API_KEY: - from hotosm_auth import remote_pat_resolver - from hotosm_auth_django import init_auth_django - - init_auth_django( - app_name="fair", - pat_resolver=remote_pat_resolver( - login_url=LOGIN_BACKEND_URL, - internal_key=LOGIN_INTERNAL_API_KEY, - ), - ) - -ROOT_URLCONF = "fairproject.urls" -WSGI_APPLICATION = "fairproject.wsgi.application" - -if DEBUG: - ALLOWED_HOSTS = ["*"] - SECURE_SSL_REDIRECT = False - SECURE_HSTS_SECONDS = 0 - SECURE_HSTS_INCLUDE_SUBDOMAINS = False - SECURE_HSTS_PRELOAD = False - SESSION_COOKIE_SECURE = False - CSRF_COOKIE_SECURE = False - CSRF_TRUSTED_ORIGINS = [] -else: - ALLOWED_HOSTS = env.list("ALLOWED_HOSTS", default=[]) - SECURE_SSL_REDIRECT = env.bool("SECURE_SSL_REDIRECT", default=True) - SECURE_HSTS_SECONDS = 31536000 - SECURE_HSTS_INCLUDE_SUBDOMAINS = True - SECURE_HSTS_PRELOAD = True - SESSION_COOKIE_SECURE = True - CSRF_COOKIE_SECURE = True - CSRF_TRUSTED_ORIGINS = env.list("CSRF_TRUSTED_ORIGINS", default=ALLOWED_HOSTS) - -SECURE_CONTENT_TYPE_NOSNIFF = True -SECURE_BROWSER_XSS_FILTER = True -X_FRAME_OPTIONS = "DENY" -SECURE_REFERRER_POLICY = "strict-origin-when-cross-origin" - -SESSION_COOKIE_HTTPONLY = True -SESSION_COOKIE_SAMESITE = "Lax" -SESSION_COOKIE_AGE = env.int("SESSION_COOKIE_AGE", default=3600) -CSRF_COOKIE_HTTPONLY = True -CSRF_COOKIE_SAMESITE = "Lax" - -DEFAULT_PAGINATION_SIZE = env.int("DEFAULT_PAGINATION_SIZE", default=50) - -REST_FRAMEWORK = { - "DEFAULT_SCHEMA_CLASS": "drf_spectacular.openapi.AutoSchema", - "DEFAULT_FILTER_BACKENDS": ["django_filters.rest_framework.DjangoFilterBackend"], - "DEFAULT_AUTHENTICATION_CLASSES": [ - "rest_framework.authentication.BasicAuthentication", - "login.authentication.OsmAuthentication", - ], - "DEFAULT_PAGINATION_CLASS": "rest_framework.pagination.LimitOffsetPagination", - "PAGE_SIZE": DEFAULT_PAGINATION_SIZE, - "EXCEPTION_HANDLER": "core.exceptions.custom_exception_handler", -} - -TEMPLATES = [ - { - "BACKEND": "django.template.backends.django.DjangoTemplates", - "DIRS": [], - "APP_DIRS": True, - "OPTIONS": { - "context_processors": [ - "django.template.context_processors.debug", - "django.template.context_processors.request", - "django.contrib.auth.context_processors.auth", - "django.contrib.messages.context_processors.messages", - ], - "libraries": { - "staticfiles": "django.templatetags.static", - }, - }, - }, -] - - -default_db_url = "postgis://admin:password@localhost:5432/fair" - -DATABASE_URL = env("DATABASE_URL", default=default_db_url) - -DATABASES = { - "default": dj_database_url.config( - default=DATABASE_URL, - conn_max_age=env.int("DB_CONN_MAX_AGE", default=500), - conn_health_checks=True, - ) -} - -database_url = urlparse(DATABASE_URL) -if database_url.scheme in ["postgres", "postgresql", "postgis"]: - ssl_mode = "disable" if DEBUG else "require" - DATABASES["default"]["OPTIONS"] = { - "sslmode": env("DATABASE_SSL_MODE", default=ssl_mode), - **DATABASES["default"].get("OPTIONS", {}), - } - -AUTH_PASSWORD_VALIDATORS = [ - { - "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator" - }, - {"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator"}, - {"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator"}, - {"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator"}, -] - -LANGUAGE_CODE = "en-us" -TIME_ZONE = "UTC" -USE_I18N = True -USE_L10N = True -USE_TZ = True - -STATIC_URL = "/api_static/" -MEDIA_URL = "/media/" -STATIC_ROOT = os.path.join(BASE_DIR, "api_static") -MEDIA_ROOT = os.path.join(BASE_DIR, "media") - -LOGGING = { - "version": 1, - "disable_existing_loggers": False, - "formatters": { - "verbose": {"format": "{levelname} {asctime} {module} {message}", "style": "{"}, - "simple": {"format": "{levelname} {message}", "style": "{"}, - }, - "handlers": { - "console": { - "level": "DEBUG" if DEBUG else "INFO", - "class": "logging.StreamHandler", - "formatter": "simple", - }, - }, - "root": {"handlers": ["console"]}, - "loggers": { - "django": {"handlers": ["console"], "level": "INFO", "propagate": False}, - "core": {"handlers": ["console"], "level": "INFO", "propagate": False}, - }, -} - -if not DEBUG: - LOGGING["handlers"]["file"] = { - "level": "INFO", - "class": "logging.FileHandler", - "filename": os.path.join(LOG_PATH, "django.log"), - "formatter": "verbose", - } - LOGGING["handlers"]["mail_admins"] = { - "level": "ERROR", - "class": "django.utils.log.AdminEmailHandler", - } - LOGGING["loggers"]["django"]["handlers"].extend(["file", "mail_admins"]) - LOGGING["loggers"]["core"]["handlers"].append("file") - -if DEBUG: - os.environ["OAUTHLIB_INSECURE_TRANSPORT"] = "1" - -CELERY_BROKER_URL = env("CELERY_BROKER_URL", default="redis://127.0.0.1:6379/0") -CELERY_RESULT_BACKEND = env("CELERY_RESULT_BACKEND", default="redis://127.0.0.1:6379/0") -CELERY_TASK_TIME_LIMIT = env.int("CELERY_TASK_TIME_LIMIT", default=60 * 60 * 6) - -Q_CLUSTER = { - "name": "DjangORM", - "workers": env.int("Q_CLUSTER_WORKERS", default=4), - "retry": env.int("Q_CLUSTER_RETRY", default=360), - "max_retires": env.int("Q_CLUSTER_MAX_RETRIES", default=1), - "recycle": env.int("Q_CLUSTER_RECYCLE", default=50), - "queue_limit": env.int("Q_CLUSTER_QUEUE_LIMIT", default=50), - "timeout": env.int("Q_CLUSTER_TIMEOUT", default=300), - "label": "Django Q", - "orm": "default", -} - - -AUTH_USER_MODEL = "login.OsmUser" - -SPECTACULAR_SETTINGS = { - "TITLE": "fAIr API", - "DESCRIPTION": """ -## AI-Assisted Mapping - -fAIr enables AI-powered mapping using aerial imagery. - -### Authentication -Most endpoints require authentication using OSM OAuth2: -1. Get access token: `POST /api/v1/auth/login/` -2. Use token in header: `access-token: YOUR_TOKEN` - -### Typical Workflow -1. **Create Dataset**: Define imagery source -2. **Create AOI**: Define mapping area with polygon -3. **Add Labels**: Either fetch from OSM or upload GeoJSON -4. **Create Model**: Initialize AI model -5. **Run Training**: Train model -6. **Run Prediction**: Run inference on new areas -7. **Submit Feedback**: Accept/reject predictions - """, - "VERSION": "v1", - "CONTACT": {"name": "HOT Tech Team", "email": "sysadmin@hotosm.org"}, - "LICENSE": { - "name": "AGPL-3.0", - "url": "https://www.gnu.org/licenses/agpl-3.0.en.html", - }, - "TERMS_OF_SERVICE": "https://www.hotosm.org/privacy", - "SERVE_INCLUDE_SCHEMA": False, - "SWAGGER_UI_SETTINGS": { - "deepLinking": True, - "persistAuthorization": True, - "displayOperationId": False, - "filter": True, - "tagsSorter": "alpha", - "operationsSorter": "alpha", - }, - "COMPONENT_SPLIT_REQUEST": True, - "SCHEMA_PATH_PREFIX": "/api/v1", - "SECURITY": [{"OsmAuth": []}], - "APPEND_COMPONENTS": { - "securitySchemes": { - "OsmAuth": { - "type": "apiKey", - "in": "header", - "name": "access-token", - "description": "OSM OAuth2 access token obtained from /api/v1/auth/login/", - } - } - }, - "DISABLE_ERRORS_AND_WARNINGS": False, - "PREPROCESSING_HOOKS": [], - "POSTPROCESSING_HOOKS": [], - "ENUM_NAME_OVERRIDES": {}, - "SERVERS": [], - "SCHEMA_COERCE_PATH_PK": True, - "SCHEMA_COERCE_METHOD_NAMES": {}, -} - -RAMP_HOME = env("RAMP_HOME", default=None) -if RAMP_HOME: - os.environ["RAMP_HOME"] = RAMP_HOME - -YOLO_HOME = env("YOLO_HOME", default=BASE_DIR) - -os.makedirs(TRAINING_WORKSPACE, exist_ok=True) -os.makedirs(PREDICTION_WORKSPACE, exist_ok=True) - -LOG_LINE_STREAM_TRUNCATE_VALUE = env.int("LOG_LINE_STREAM_TRUNCATE_VALUE", default=10) - -TEST_RUNNER = "tests.test_runners.NoDestroyTestRunner" - -if DEBUG: - EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend" -else: - EMAIL_BACKEND = env( - "EMAIL_BACKEND", default="django.core.mail.backends.smtp.EmailBackend" - ) - EMAIL_HOST = env("EMAIL_HOST", default="smtp.gmail.com") - EMAIL_PORT = env.int("EMAIL_PORT", default=587) - EMAIL_USE_TLS = env.bool("EMAIL_USE_TLS", default=True) - EMAIL_USE_SSL = env.bool("EMAIL_USE_SSL", default=False) - EMAIL_HOST_USER = env("EMAIL_HOST_USER", default="") - EMAIL_HOST_PASSWORD = env("EMAIL_HOST_PASSWORD", default="") - DEFAULT_FROM_EMAIL = env("DEFAULT_FROM_EMAIL", default="no-reply@fair.hotosm.org") - FAIL_EMAIL_SILENTLY = env.bool("FAIL_EMAIL_SILENTLY", default=True) - -CACHE_TIMEOUT_MINUTES = env.int("CACHE_TIMEOUT_MINUTES", default=5) - -RATELIMIT_ENABLE = not DEBUG -RATELIMIT_USE_CACHE = "default" -RATELIMIT_VIEW = "core.ratelimit.ratelimit_key_from_user" - -CACHES = { - "default": { - "BACKEND": "django_redis.cache.RedisCache", - "LOCATION": env("REDIS_CACHE_URL", default=CELERY_RESULT_BACKEND), - "OPTIONS": {"CLIENT_CLASS": "django_redis.client.DefaultClient"}, - } -} - -TRAINING_RATE_LIMIT = env("TRAINING_RATE_LIMIT", default="10/h") -PREDICTION_RATE_LIMIT = env("PREDICTION_RATE_LIMIT", default="50/h") -API_RATE_LIMIT = env("API_RATE_LIMIT", default="1000/h") - - -def extract_domain(url): - return urlparse(url).hostname - - -if DEBUG: - CORS_ALLOW_ALL_ORIGINS = True - CORS_ALLOW_CREDENTIALS = False -else: - CORS_ALLOW_ALL_ORIGINS = False - CORS_ALLOW_CREDENTIALS = True - cors_origins = env.list("CORS_ALLOWED_ORIGINS", default=[]) - CORS_ALLOWED_ORIGINS = cors_origins.copy() - - if FRONTEND_URL and FRONTEND_URL not in CORS_ALLOWED_ORIGINS: - CORS_ALLOWED_ORIGINS.append(FRONTEND_URL) - -CORS_ALLOW_HEADERS = list(default_headers) + [ - "access-token", - "authorization", - "content-type", - "x-csrftoken", - "x-requested-with", -] - -CORS_ALLOWED_METHODS = ["DELETE", "GET", "OPTIONS", "PATCH", "POST", "PUT"] -CORS_PREFLIGHT_MAX_AGE = 86400 - - -def get_allowed_hosts(): - hosts = ["localhost", "127.0.0.1", "0.0.0.0"] - hostname = env("HOSTNAME", default="127.0.0.1") - if hostname not in hosts: - hosts.append(hostname) - - configured_hosts = env.list("ALLOWED_HOSTS", default=[]) - hosts.extend(configured_hosts) - - if DEBUG: - try: - hosts.extend([gethostname(), gethostbyname(gethostname())]) - except Exception: - pass - else: - production_hosts = env.list("ALLOWED_HOSTS", default=[]) - hosts.extend(production_hosts) - - if FRONTEND_URL: - frontend_domain = extract_domain(FRONTEND_URL) - if frontend_domain: - hosts.append(frontend_domain) - - if "CORS_ALLOWED_ORIGINS" in locals(): - cors_domains = [extract_domain(url) for url in CORS_ALLOWED_ORIGINS if url] - hosts.extend(filter(None, cors_domains)) - - return list(set(filter(None, hosts))) - - -ALLOWED_HOSTS = get_allowed_hosts() - -if not DEBUG: - required_env_vars = [ - "SECRET_KEY", - "DATABASE_URL", - "ALLOWED_HOSTS", - "OSM_CLIENT_ID", - "OSM_CLIENT_SECRET", - "OSM_SECRET_KEY", - ] - missing_vars = [var for var in required_env_vars if not env(var, default=None)] - if missing_vars: - raise ValueError( - f"Required environment variables missing in production: {', '.join(missing_vars)}" - ) - - if "dev" in SECRET_KEY or "unsafe" in SECRET_KEY or len(SECRET_KEY) < 32: - raise ValueError("Insecure SECRET_KEY detected in production") - - -### Mapswipe block - -ENABLE_MAPSWIPE_INTEGREATION = True - -MAPSWIPE_BACKEND_URL = env( - "MAPSWIPE_BACKEND_URL", default="https://backend-2.mapswipe.dev.togglecorp.com" -) -MAPSWIPE_MANAGER_URL = env( - "MAPSWIPE_MANAGER_URL", default="https://manager-2.mapswipe.dev.togglecorp.com" -) -MAPSWIPE_WEB_URL = env( - "MAPSWIPE_WEB_URL", default="https://web-app-2.mapswipe.dev.togglecorp.com" -) - -MAPSWIPE_CSRFTOKEN_KEY = env( - "MAPSWIPE_CSRFTOKEN_KEY", default="MAPSWIPE-ALPHA-2-CSRFTOKEN" -) - -# XXX: For the key, go to the managers dashboard login page, open th network tab, after login you can see the key in the network tab -# MAPSWIPE_FB_AUTH_URL=https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX -MAPSWIPE_FB_AUTH_URL = env("MAPSWIPE_FB_AUTH_URL", default=None) - -# web-app login credentials -MAPSWIPE_FB_USERNAME = env("MAPSWIPE_FB_USERNAME", default=None) -MAPSWIPE_FB_PASSWORD = env("MAPSWIPE_FB_PASSWORD", default=None) - -ENABLE_MASPSWIPE_INTEGRATION = env.bool( - "ENABLE_MAPSWIPE_INTEGRATION", - default=( - MAPSWIPE_CSRFTOKEN_KEY - and MAPSWIPE_FB_AUTH_URL - and MAPSWIPE_FB_USERNAME - and MAPSWIPE_FB_PASSWORD - ), -) - -MAPSWIPE_TUTORIAL_ID = env("MAPSWIPE_TUTORIAL_ID", default="37") -MAPSWIPE_ORGANIZATION_ID = env.int("MAPSWIPE_ORGANIZATION_ID", default=4) -MAPSWIPE_VERIFICATION_NUMBER = env.int("MAPSWIPE_VERIFICATION_NUMBER", default=3) - -MAPSWIPE_POLL_INTERVAL = env.int("MAPSWIPE_POLL_INTERVAL", default=10) -MAPSWIPE_POLL_TIMEOUT = env.int("MAPSWIPE_POLL_TIMEOUT", default=600) - -ENABLE_FAIR_PREDICTOR = env.bool( - "ENABLE_FAIR_PREDICTOR", default=True -) # for standalone fairpredictor module , you can enable this to test in the dev in production fairpredictor can be deployed independently diff --git a/backend/fairproject/urls.py b/backend/fairproject/urls.py deleted file mode 100644 index 211245307..000000000 --- a/backend/fairproject/urls.py +++ /dev/null @@ -1,54 +0,0 @@ -"""djangoproject URL Configuration - -The `urlpatterns` list routes URLs to views. For more information please see: - https://docs.djangoproject.com/en/3.1/topics/http/urls/ -Examples: -Function views - 1. Add an import: from my_app import views - 2. Add a URL to urlpatterns: path('', views.home, name='home') -Class-based views - 1. Add an import: from other_app.views import Home - 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') -Including another URLconf - 1. Import the include() function: from django.urls import include, path - 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) -""" - -from core.views import home -from django.conf import settings -from fairproject.settings import AuthProvider -from django.conf.urls import include -from django.contrib import admin -from django.urls import path -from drf_spectacular.views import ( - SpectacularAPIView, - SpectacularRedocView, - SpectacularSwaggerView, -) - -admin_mapping_patterns = [] -if settings.AUTH_PROVIDER == AuthProvider.HANKO: - from hotosm_auth_django.admin_routes import create_admin_urlpatterns - admin_mapping_patterns = create_admin_urlpatterns( - app_name="fair", - user_model="login.OsmUser", - user_id_column="osm_id", - user_name_column="username", - user_email_column="email", - ) - -urlpatterns = [ - path("api/schema/", SpectacularAPIView.as_view(), name="schema"), - path("api/swagger/", SpectacularSwaggerView.as_view(url_name="schema"), name="swagger-ui"), - path("api/redoc/", SpectacularRedocView.as_view(url_name="schema"), name="redoc"), - path("api/", home, name="home"), - path("api/v1/auth/", include("login.urls")), - path("api/v1/", include("core.urls")), - path("api/admin/", include(admin_mapping_patterns)), - path("django-admin/", admin.site.urls), -] - -if settings.DEBUG: - from django.conf.urls.static import static - urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) - urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) diff --git a/backend/fairproject/wsgi.py b/backend/fairproject/wsgi.py deleted file mode 100644 index dc2cffb15..000000000 --- a/backend/fairproject/wsgi.py +++ /dev/null @@ -1,16 +0,0 @@ -""" -WSGI config for fairproject project. - -It exposes the WSGI callable as a module-level variable named ``application``. - -For more information on this file, see -https://docs.fairproject.com/en/3.1/howto/deployment/wsgi/ -""" - -import os - -from django.core.wsgi import get_wsgi_application - -os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'fairproject.settings') - -application = get_wsgi_application() diff --git a/backend/feedback/__init__.py b/backend/feedback/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/feedback/admin.py b/backend/feedback/admin.py new file mode 100644 index 000000000..3bd540551 --- /dev/null +++ b/backend/feedback/admin.py @@ -0,0 +1,14 @@ +from django.contrib.gis import admin as geoadmin + +from .models import Feedback + + +@geoadmin.register(Feedback) +class FeedbackAdmin(geoadmin.GISModelAdmin): + list_display = ["id", "stac_id", "action", "user", "created_at"] + list_filter = ["action", "created_at"] + search_fields = ["stac_id", "user__username", "comments"] + readonly_fields = ["created_at"] + date_hierarchy = "created_at" + list_per_page = 50 + autocomplete_fields = ["user"] diff --git a/backend/feedback/apps.py b/backend/feedback/apps.py new file mode 100644 index 000000000..d26ac3cb4 --- /dev/null +++ b/backend/feedback/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class FeedbackConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "feedback" diff --git a/backend/feedback/migrations/0001_initial.py b/backend/feedback/migrations/0001_initial.py new file mode 100644 index 000000000..cd400ae97 --- /dev/null +++ b/backend/feedback/migrations/0001_initial.py @@ -0,0 +1,35 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.contrib.gis.db.models.fields +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='Feedback', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('stac_id', models.CharField(db_index=True, max_length=200)), + ('geom', django.contrib.gis.db.models.fields.GeometryField(srid=4326)), + ('action', models.CharField(choices=[('accept', 'Accept'), ('reject', 'Reject')], default='accept', max_length=6)), + ('comments', models.TextField(blank=True)), + ('config', models.JSONField(blank=True, default=dict)), + ('created_at', models.DateTimeField(auto_now_add=True)), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='feedback', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'ordering': ['-created_at'], + 'indexes': [models.Index(fields=['stac_id'], name='feedback_fe_stac_id_f90a19_idx'), models.Index(fields=['user'], name='feedback_fe_user_id_b3b486_idx'), models.Index(fields=['action'], name='feedback_fe_action_d3e6dc_idx'), models.Index(fields=['geom'], name='feedback_geom_gist_idx', opclasses=['gist'])], + }, + ), + ] diff --git a/backend/feedback/migrations/__init__.py b/backend/feedback/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/feedback/models.py b/backend/feedback/models.py new file mode 100644 index 000000000..3f3628b49 --- /dev/null +++ b/backend/feedback/models.py @@ -0,0 +1,37 @@ +from django.contrib.gis.db import models as geomodels +from django.db import models + +from accounts.models import OsmUser +from shared.validators import validate_geometry + + +class Feedback(models.Model): + class Action(models.TextChoices): + ACCEPT = "accept", "Accept" + REJECT = "reject", "Reject" + + stac_id = models.CharField(max_length=200, db_index=True) + geom = geomodels.GeometryField(srid=4326) + action = models.CharField(max_length=6, choices=Action.choices, default=Action.ACCEPT) + comments = models.TextField(blank=True) + config = models.JSONField(default=dict, blank=True) + user = models.ForeignKey( + OsmUser, + to_field="osm_id", + on_delete=models.CASCADE, + related_name="feedback", + ) + created_at = models.DateTimeField(auto_now_add=True) + + class Meta: + indexes = [ + models.Index(fields=["stac_id"]), + models.Index(fields=["user"]), + models.Index(fields=["action"]), + models.Index(fields=["geom"], name="feedback_geom_gist_idx", opclasses=["gist"]), + ] + ordering = ["-created_at"] + + def clean(self) -> None: + if self.geom: + self.geom = validate_geometry(self.geom) diff --git a/backend/feedback/serializers.py b/backend/feedback/serializers.py new file mode 100644 index 000000000..de7269e4f --- /dev/null +++ b/backend/feedback/serializers.py @@ -0,0 +1,26 @@ +from rest_framework_gis.serializers import GeoFeatureModelSerializer + +from notifications.serializers import UserSerializer + +from .models import Feedback + + +class FeedbackSerializer(GeoFeatureModelSerializer): + user = UserSerializer(read_only=True) + + class Meta: + model = Feedback + geo_field = "geom" + id_field = False + auto_bbox = False + fields = [ + "id", + "stac_id", + "geom", + "action", + "comments", + "config", + "user", + "created_at", + ] + read_only_fields = ["id", "user", "created_at"] diff --git a/backend/feedback/urls.py b/backend/feedback/urls.py new file mode 100644 index 000000000..dfdbe035e --- /dev/null +++ b/backend/feedback/urls.py @@ -0,0 +1,11 @@ +from django.urls import include, path +from rest_framework import routers + +from .views import FeedbackViewSet + +router = routers.DefaultRouter() +router.register(r"feedback", FeedbackViewSet) + +urlpatterns = [ + path("", include(router.urls)), +] diff --git a/backend/feedback/views.py b/backend/feedback/views.py new file mode 100644 index 000000000..b5cf89823 --- /dev/null +++ b/backend/feedback/views.py @@ -0,0 +1,32 @@ +from django_filters.rest_framework import DjangoFilterBackend +from drf_spectacular.utils import extend_schema, extend_schema_view +from rest_framework import viewsets +from rest_framework.permissions import IsAuthenticated +from rest_framework_gis.filters import InBBoxFilter + +from accounts.authentication import OsmAuthentication +from accounts.permissions import IsOwnerOrAdminOrReadOnly + +from .models import Feedback +from .serializers import FeedbackSerializer + + +@extend_schema_view( + list=extend_schema(description="List feedback entries, filterable by stac_id/action/bbox."), + create=extend_schema(description="Submit accept/reject feedback on a predicted feature."), + retrieve=extend_schema(description="Retrieve one feedback entry by id."), + update=extend_schema(description="Replace a feedback entry (owner/admin only)."), + partial_update=extend_schema(description="Patch a feedback entry (owner/admin only)."), + destroy=extend_schema(description="Delete a feedback entry (owner/admin only)."), +) +class FeedbackViewSet(viewsets.ModelViewSet): + queryset = Feedback.objects.all() + serializer_class = FeedbackSerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated, IsOwnerOrAdminOrReadOnly] + filter_backends = [DjangoFilterBackend, InBBoxFilter] + filterset_fields = ["stac_id", "action", "user"] + bbox_filter_field = "geom" + + def perform_create(self, serializer) -> None: + serializer.save(user=self.request.user) diff --git a/backend/justfile b/backend/justfile new file mode 100644 index 000000000..c72e17256 --- /dev/null +++ b/backend/justfile @@ -0,0 +1,30 @@ +set shell := ["bash", "-euo", "pipefail", "-c"] + +[doc('List recipes')] +default: + @just --list --unsorted + +[doc('Install dependencies and pre-commit hooks')] +setup: + uv sync + uv run pre-commit install --install-hooks --hook-type commit-msg --hook-type pre-commit + +[doc('Run all linters and type checks via pre-commit')] +lint: + uv run pre-commit run --all-files + +[doc('Run tests')] +test: + uv run pytest + +[doc('Run dev server')] +run: + uv run python manage.py runserver 0.0.0.0:8000 + +[doc('Apply database migrations')] +migrate: + uv run python manage.py migrate + +[doc('Run the background task worker')] +worker: + uv run python manage.py db_worker diff --git a/backend/library.sh b/backend/library.sh deleted file mode 100644 index 85fdb6a19..000000000 --- a/backend/library.sh +++ /dev/null @@ -1,6 +0,0 @@ -sudo add-apt-repository ppa:ubuntugis/ppa && sudo apt-get update -sudo apt-get install gdal-bin -sudo apt-get install libgdal-dev -sudo apt-get install python3-psycopg2 -export CPLUS_INCLUDE_PATH=/usr/include/gdal -export C_INCLUDE_PATH=/usr/include/gdal diff --git a/backend/login/.DS_Store b/backend/login/.DS_Store deleted file mode 100644 index ae16fafc9..000000000 Binary files a/backend/login/.DS_Store and /dev/null differ diff --git a/backend/login/apps.py b/backend/login/apps.py deleted file mode 100644 index ebd58e73e..000000000 --- a/backend/login/apps.py +++ /dev/null @@ -1,6 +0,0 @@ -from django.apps import AppConfig - - -class LoginConfig(AppConfig): - default_auto_field = 'django.db.models.BigAutoField' - name = 'login' diff --git a/backend/login/authentication.py b/backend/login/authentication.py deleted file mode 100644 index 356512b0a..000000000 --- a/backend/login/authentication.py +++ /dev/null @@ -1,108 +0,0 @@ -import logging -from django.conf import settings -from fairproject.settings import AuthProvider -from rest_framework import authentication, exceptions - -from .models import OsmUser - -logger = logging.getLogger(__name__) - - -class LegacyOsmAuthentication(authentication.BaseAuthentication): - """Legacy OSM OAuth authentication using osm_login_python. - - Used when AUTH_PROVIDER="legacy". - Reads access-token from header and validates directly with OSM. - """ - def authenticate(self, request): - from osm_login_python.core import Auth - - access_token = request.headers.get( - "access-token" - ) # get the access token as header - # if not access_token: # no access token passed on header - # raise exceptions.AuthenticationFailed('Access token not supplied') - user = None - if access_token: - try: - osm_auth = Auth( - osm_url=settings.OSM_URL, - client_id=settings.OSM_CLIENT_ID, - client_secret=settings.OSM_CLIENT_SECRET, - secret_key=settings.OSM_SECRET_KEY, - login_redirect_uri=settings.OSM_LOGIN_REDIRECT_URI, - scope=settings.OSM_SCOPE, - ) - user_data = osm_auth.deserialize_data(access_token) # get the user - try: - user = OsmUser.objects.get(osm_id=user_data["id"]) - - if user.username != user_data["username"]: # if username changed - user.username = user_data["username"] - if user.img_url != user_data["img_url"]: # if img url changed - user.img_url = user_data["img_url"] - user.save() - - except OsmUser.DoesNotExist: - user = OsmUser.objects.create( - osm_id=user_data["id"], - username=user_data["username"], - img_url=user_data["img_url"], - ) - - except Exception as ex: - logger.warning( - "OSM authentication failed", - extra={ - "error": str(ex), - "access_token_length": len(access_token) if access_token else 0, - "osm_url": settings.OSM_URL - } - ) - raise exceptions.AuthenticationFailed( - "OSM authentication failed: Invalid or expired access token" - ) - return (user, None) # authentication successful return id,user_name,img - - -class HankoAuthentication(authentication.BaseAuthentication): - """Hanko SSO authentication using user mappings.""" - def authenticate(self, request): - from hotosm_auth_django import get_mapped_user_id - - if not hasattr(request, 'hotosm'): - raise exceptions.AuthenticationFailed( - "HankoAuthMiddleware not configured" - ) - - hanko_user = request.hotosm.user - - if not hanko_user: - logger.debug("No Hanko user in request") - return (None, None) - - mapped_osm_id = get_mapped_user_id(hanko_user, app_name="fair") - - if mapped_osm_id is not None: - try: - osm_id = int(mapped_osm_id) - user = OsmUser.objects.get(osm_id=osm_id) - logger.debug(f"Authenticated via mapping: Hanko={hanko_user.email}, osm_id={osm_id}") - return (user, None) - except (OsmUser.DoesNotExist, ValueError) as e: - logger.warning(f"Mapping exists but user not found: osm_id={mapped_osm_id}, error={e}") - # Fall through to onboarding. - - request.needs_onboarding = True - request.hanko_user_for_onboarding = hanko_user - logger.debug(f"Hanko user {hanko_user.email} needs onboarding (no mapping)") - return (None, None) - - -# Select authentication class based on AUTH_PROVIDER -if settings.AUTH_PROVIDER == AuthProvider.HANKO: - logger.info("Using Hanko SSO authentication") - OsmAuthentication = HankoAuthentication -else: - logger.info("Using legacy OSM authentication") - OsmAuthentication = LegacyOsmAuthentication diff --git a/backend/login/migrations/0002_osmuser_account_deletion_requested_and_more.py b/backend/login/migrations/0002_osmuser_account_deletion_requested_and_more.py deleted file mode 100644 index b87bafc1e..000000000 --- a/backend/login/migrations/0002_osmuser_account_deletion_requested_and_more.py +++ /dev/null @@ -1,29 +0,0 @@ -# Generated by Django 4.1.4 on 2025-04-02 13:41 - -import django.contrib.postgres.fields -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('login', '0001_initial'), - ] - - operations = [ - migrations.AddField( - model_name='osmuser', - name='account_deletion_requested', - field=models.BooleanField(default=False), - ), - migrations.AddField( - model_name='osmuser', - name='newsletter_subscription', - field=models.BooleanField(default=False), - ), - migrations.AddField( - model_name='osmuser', - name='notifications_delivery_methods', - field=django.contrib.postgres.fields.ArrayField(base_field=models.CharField(choices=[('email', 'Email'), ('web', 'Web')], max_length=10), blank=True, default=['web'], size=None), - ), - ] diff --git a/backend/login/permissions.py b/backend/login/permissions.py deleted file mode 100644 index a54f21c14..000000000 --- a/backend/login/permissions.py +++ /dev/null @@ -1,64 +0,0 @@ -# permissions.py - -from rest_framework import permissions - - -class IsOsmAuthenticated(permissions.BasePermission): - def has_permission(self, request, view): - public_methods = getattr(view, "public_methods", []) - if request.method in public_methods: - return True - - if request.user and request.user.is_authenticated: - # if request.user.is_staff or request.user.is_superuser: - # return True - return True - - return False - - def has_object_permission(self, request, view, obj): - if request.method in permissions.SAFE_METHODS: - return True - - # Allow modification (PUT, DELETE) if the user is staff or admin - if request.user.is_staff or request.user.is_superuser: - return True - ## if the object it is trying to access has user info - if request.user and request.user.is_authenticated: - authenticated_user_allowed_methods = getattr( - view, "authenticated_user_allowed_methods", [] - ) - if request.method in authenticated_user_allowed_methods: - return True - - if hasattr(obj, "user"): - # in order to change it it needs to be in his/her name - if obj.user == request.user: - return True - - return False - - -class IsAdminUser(permissions.BasePermission): - def has_permission(self, request, view): - public_methods = getattr(view, "public_methods", []) - if request.method in public_methods: - return True - return ( - request.user and request.user.is_authenticated and request.user.is_superuser - ) - - -class IsStaffUser(permissions.BasePermission): - def has_permission(self, request, view): - public_methods = getattr(view, "public_methods", []) - if request.method in public_methods: - return True - return request.user and request.user.is_authenticated and request.user.is_staff - - -class IsOwnerOrReadOnly(permissions.BasePermission): - def has_object_permission(self, request, view, obj): - if request.method in permissions.SAFE_METHODS: - return True - return obj.user == request.user diff --git a/backend/login/tests.py b/backend/login/tests.py deleted file mode 100644 index 7ce503c2d..000000000 --- a/backend/login/tests.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.test import TestCase - -# Create your tests here. diff --git a/backend/main.py b/backend/main.py deleted file mode 100644 index 997a4adb7..000000000 --- a/backend/main.py +++ /dev/null @@ -1,6 +0,0 @@ -def main(): - print("Hello from backend!") - - -if __name__ == "__main__": - main() diff --git a/backend/manage.py b/backend/manage.py index 8305043ef..aabb81818 100644 --- a/backend/manage.py +++ b/backend/manage.py @@ -1,12 +1,13 @@ #!/usr/bin/env python """Django's command-line utility for administrative tasks.""" + import os import sys def main(): """Run administrative tasks.""" - os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'fairproject.settings') + os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings") try: from django.core.management import execute_from_command_line except ImportError as exc: @@ -18,5 +19,5 @@ def main(): execute_from_command_line(sys.argv) -if __name__ == '__main__': +if __name__ == "__main__": main() diff --git a/backend/modelregistry/__init__.py b/backend/modelregistry/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/modelregistry/admin.py b/backend/modelregistry/admin.py new file mode 100644 index 000000000..def0dee3d --- /dev/null +++ b/backend/modelregistry/admin.py @@ -0,0 +1,14 @@ +from django.contrib import admin + +from .models import LocalModel + + +@admin.register(LocalModel) +class LocalModelAdmin(admin.ModelAdmin): + list_display = ["name", "status", "user", "created_at"] + list_filter = ["status", "created_at"] + search_fields = ["name", "user__username"] + readonly_fields = ["created_at", "last_modified"] + date_hierarchy = "created_at" + list_per_page = 50 + autocomplete_fields = ["user"] diff --git a/backend/modelregistry/apps.py b/backend/modelregistry/apps.py new file mode 100644 index 000000000..1bf0e6400 --- /dev/null +++ b/backend/modelregistry/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class ModelRegistryConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "modelregistry" diff --git a/backend/modelregistry/migrations/0001_initial.py b/backend/modelregistry/migrations/0001_initial.py new file mode 100644 index 000000000..0226d455b --- /dev/null +++ b/backend/modelregistry/migrations/0001_initial.py @@ -0,0 +1,32 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='LocalModel', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('stac_id', models.CharField(max_length=200, unique=True)), + ('status', models.CharField(choices=[('draft', 'Draft'), ('published', 'Published'), ('archived', 'Archived')], default='draft', max_length=20)), + ('created_at', models.DateTimeField(auto_now_add=True)), + ('last_modified', models.DateTimeField(auto_now=True)), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='local_models', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'ordering': ['-created_at'], + 'indexes': [models.Index(fields=['status'], name='modelregist_status_a7532d_idx'), models.Index(fields=['user'], name='modelregist_user_id_13fc83_idx')], + }, + ), + ] diff --git a/backend/modelregistry/migrations/0002_rename_stac_id_localmodel_name.py b/backend/modelregistry/migrations/0002_rename_stac_id_localmodel_name.py new file mode 100644 index 000000000..219e3a1b8 --- /dev/null +++ b/backend/modelregistry/migrations/0002_rename_stac_id_localmodel_name.py @@ -0,0 +1,18 @@ +# Generated by Django 6.0.4 on 2026-05-05 16:33 + +from django.db import migrations + + +class Migration(migrations.Migration): + + dependencies = [ + ('modelregistry', '0001_initial'), + ] + + operations = [ + migrations.RenameField( + model_name='localmodel', + old_name='stac_id', + new_name='name', + ), + ] diff --git a/backend/modelregistry/migrations/__init__.py b/backend/modelregistry/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/modelregistry/models.py b/backend/modelregistry/models.py new file mode 100644 index 000000000..d7108d096 --- /dev/null +++ b/backend/modelregistry/models.py @@ -0,0 +1,40 @@ +from django.db import models + +from accounts.models import OsmUser + + +class LocalModel(models.Model): + # `name` is the chain key (= ZenML model_name = STAC mlm:name on every + # version), NOT a STAC item id. A LocalModel is the family; each promote + # creates a new STAC item under the same `mlm:name`. Per-version metadata + # (title, description, assets) lives in STAC. + + class Status(models.TextChoices): + DRAFT = "draft", "Draft" + PUBLISHED = "published", "Published" + # TODO(archive-cascade): no endpoint flips a model to ARCHIVED yet. + # When added, must (1) archive_model_version per STAC item with + # mlm:name == self.name, (2) deprecate those STAC items, (3) mark + # related TrainingRunRefs (add `archived_at` field if needed). + ARCHIVED = "archived", "Archived" + + name = models.CharField(max_length=200, unique=True) + status = models.CharField(max_length=20, choices=Status.choices, default=Status.DRAFT) + user = models.ForeignKey( + OsmUser, + to_field="osm_id", + on_delete=models.CASCADE, + related_name="local_models", + ) + created_at = models.DateTimeField(auto_now_add=True) + last_modified = models.DateTimeField(auto_now=True) + + class Meta: + indexes = [ + models.Index(fields=["status"]), + models.Index(fields=["user"]), + ] + ordering = ["-created_at"] + + def __str__(self) -> str: + return self.name diff --git a/backend/modelregistry/serializers.py b/backend/modelregistry/serializers.py new file mode 100644 index 000000000..9e013399d --- /dev/null +++ b/backend/modelregistry/serializers.py @@ -0,0 +1,47 @@ +from rest_framework import serializers + +from notifications.serializers import UserSerializer + +from .models import LocalModel + + +class LocalModelSerializer(serializers.ModelSerializer): + user = UserSerializer(read_only=True) + star_count = serializers.IntegerField(read_only=True, default=0) + is_starred = serializers.BooleanField(read_only=True, default=False) + run_count = serializers.IntegerField(read_only=True, default=0) + + class Meta: + model = LocalModel + fields = [ + "id", + "name", + "status", + "user", + "star_count", + "is_starred", + "run_count", + "created_at", + "last_modified", + ] + read_only_fields = [ + "id", + "user", + "star_count", + "is_starred", + "run_count", + "created_at", + "last_modified", + ] + + +class TrainingRunSummarySerializer(serializers.Serializer): + """ZenML run summary, populated from fair.zenml.runs.RunSummary.""" + + id = serializers.CharField() + name = serializers.CharField() + status = serializers.CharField() + created_at = serializers.CharField(allow_null=True) + pipeline_name = serializers.CharField() + model_name = serializers.CharField(allow_null=True) + model_version = serializers.IntegerField(allow_null=True) diff --git a/backend/modelregistry/urls.py b/backend/modelregistry/urls.py new file mode 100644 index 000000000..92056f4c9 --- /dev/null +++ b/backend/modelregistry/urls.py @@ -0,0 +1,11 @@ +from django.urls import include, path +from rest_framework import routers + +from .views import LocalModelViewSet + +router = routers.DefaultRouter() +router.register(r"local-models", LocalModelViewSet) + +urlpatterns = [ + path("", include(router.urls)), +] diff --git a/backend/modelregistry/views.py b/backend/modelregistry/views.py new file mode 100644 index 000000000..e19ffdab6 --- /dev/null +++ b/backend/modelregistry/views.py @@ -0,0 +1,92 @@ +from django.db.models import Count +from django_filters.rest_framework import DjangoFilterBackend +from drf_spectacular.utils import extend_schema, extend_schema_view +from rest_framework import filters, status, viewsets +from rest_framework.decorators import action +from rest_framework.permissions import IsAuthenticated +from rest_framework.response import Response + +from accounts.authentication import OsmAuthentication +from accounts.permissions import IsAdmin +from shared.integrations.stac import ( + FAIR_PINNED_PROPERTY, + LOCAL_MODELS_COLLECTION, + get_active_local_model_item, + set_item_property, +) +from shared.integrations.zenml import list_runs_for_model +from shared.stars import annotate_stars + +from .models import LocalModel +from .serializers import LocalModelSerializer, TrainingRunSummarySerializer + + +@extend_schema_view( + list=extend_schema(description="List local (finetuned) models."), + retrieve=extend_schema(description="Retrieve one local model by id."), + pin=extend_schema( + description=( + "Toggle the `fair:pinned` STAC property on a model (admin only). " + "Writes to STAC; the DB row is unchanged." + ), + ), + runs=extend_schema(description="List ZenML pipeline runs that produced this model."), +) +class LocalModelViewSet(viewsets.ReadOnlyModelViewSet): + queryset = LocalModel.objects.all() + serializer_class = LocalModelSerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated] + filter_backends = [DjangoFilterBackend, filters.SearchFilter, filters.OrderingFilter] + filterset_fields = ["status", "user"] + search_fields = ["name"] + ordering_fields = ["created_at", "last_modified"] + + def get_queryset(self): + qs = LocalModel.objects.all().annotate(run_count=Count("runs")) + return annotate_stars(qs, self.request, key_field="name") + + def get_permissions(self): + if self.action == "pin": + return [IsAuthenticated(), IsAdmin()] + return super().get_permissions() + + @action(detail=True, methods=["patch"], url_path="pin") + def pin(self, request, pk: int | None = None) -> Response: + model = self.get_object() + # STAC items are keyed by version UUID; resolve the active version + # by mlm:name == model.name. Pinning a model with no published version + # yet makes no sense, so 409 in that case. + active = get_active_local_model_item(model.name) + if active is None: + return Response( + { + "detail": ( + f"Model '{model.name}' has no active published version. " + "Publish at least one training run before pinning." + ), + }, + status=status.HTTP_409_CONFLICT, + ) + desired = bool(request.data.get("is_pinned", True)) + set_item_property(LOCAL_MODELS_COLLECTION, active.id, FAIR_PINNED_PROPERTY, desired) + return Response(self.get_serializer(model).data, status=status.HTTP_200_OK) + + @action(detail=True, methods=["get"], url_path="runs") + def runs(self, request, pk: int | None = None) -> Response: + model = self.get_object() + limit = int(request.query_params.get("limit", 50)) + summaries = list_runs_for_model(model.name, limit=limit) + data = [ + { + "id": s.id, + "name": s.name, + "status": s.status, + "created_at": s.created_at, + "pipeline_name": s.pipeline_name, + "model_name": s.model_name, + "model_version": s.model_version, + } + for s in summaries + ] + return Response(TrainingRunSummarySerializer(data, many=True).data) diff --git a/backend/notifications/__init__.py b/backend/notifications/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/notifications/admin.py b/backend/notifications/admin.py new file mode 100644 index 000000000..7c7c4cdb2 --- /dev/null +++ b/backend/notifications/admin.py @@ -0,0 +1,32 @@ +from django.contrib import admin +from django.utils import timezone + +from .models import Banner, UserNotification + + +@admin.register(Banner) +class BannerAdmin(admin.ModelAdmin): + list_display = ["message", "start_date", "end_date", "is_currently_displayable"] + list_filter = ["start_date", "end_date"] + search_fields = ["message"] + list_per_page = 50 + + @admin.display(boolean=True, description="Currently displayable") + def is_currently_displayable(self, obj: Banner) -> bool: + return obj.is_displayable() + + +@admin.register(UserNotification) +class UserNotificationAdmin(admin.ModelAdmin): + list_display = ["id", "user", "message", "is_read", "created_at"] + list_filter = ["is_read", "created_at"] + search_fields = ["user__username", "message"] + readonly_fields = ["created_at", "read_at"] + date_hierarchy = "created_at" + list_per_page = 50 + autocomplete_fields = ["user"] + actions = ["mark_selected_as_read"] + + @admin.action(description="Mark selected notifications as read") + def mark_selected_as_read(self, request, queryset) -> None: + queryset.filter(is_read=False).update(is_read=True, read_at=timezone.now()) diff --git a/backend/notifications/apps.py b/backend/notifications/apps.py new file mode 100644 index 000000000..3a0847668 --- /dev/null +++ b/backend/notifications/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class NotificationsConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "notifications" diff --git a/backend/notifications/helpers.py b/backend/notifications/helpers.py new file mode 100644 index 000000000..8532b38eb --- /dev/null +++ b/backend/notifications/helpers.py @@ -0,0 +1,43 @@ +import logging + +from django.conf import settings +from django.contrib.contenttypes.models import ContentType +from django.core.mail import send_mail +from django.db import models + +from .models import UserNotification + +logger = logging.getLogger(__name__) + + +def send_user_notification( + target: models.Model, message: str, *, subject: str | None = None +) -> UserNotification: + """Deliver a notification on every channel the user opted into. + + Always writes the web record (the API surface for `/notifications/me/`). + Additionally sends an email when the user has `email` in their + `notifications_delivery_methods`. + """ + user = getattr(target, "user", None) + if user is None: + raise ValueError(f"{target!r} has no .user attribute") + + record = UserNotification.objects.create( + user=user, + message=message, + content_type=ContentType.objects.get_for_model(type(target)), + object_id=target.pk, + ) + + methods = getattr(user, "notifications_delivery_methods", []) or [] + if "email" in methods and user.email: + send_mail( + subject=subject or "fAIr notification", + message=message, + from_email=settings.DEFAULT_FROM_EMAIL, + recipient_list=[user.email], + fail_silently=False, + ) + + return record diff --git a/backend/notifications/migrations/0001_initial.py b/backend/notifications/migrations/0001_initial.py new file mode 100644 index 000000000..0920b483c --- /dev/null +++ b/backend/notifications/migrations/0001_initial.py @@ -0,0 +1,45 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.db.models.deletion +import django.utils.timezone +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + ('contenttypes', '0002_remove_content_type_name'), + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='Banner', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('message', models.TextField(max_length=500)), + ('start_date', models.DateTimeField(default=django.utils.timezone.now)), + ('end_date', models.DateTimeField(blank=True, null=True)), + ], + ), + migrations.CreateModel( + name='UserNotification', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('is_read', models.BooleanField(default=False)), + ('created_at', models.DateTimeField(default=django.utils.timezone.now)), + ('read_at', models.DateTimeField(blank=True, null=True)), + ('message', models.TextField(max_length=500)), + ('object_id', models.PositiveIntegerField(null=True)), + ('content_type', models.ForeignKey(null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='contenttypes.contenttype')), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='notifications', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'ordering': ['-created_at'], + 'indexes': [models.Index(fields=['is_read'], name='notificatio_is_read_858948_idx'), models.Index(fields=['user'], name='notificatio_user_id_a69083_idx')], + }, + ), + ] diff --git a/backend/notifications/migrations/__init__.py b/backend/notifications/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/notifications/models.py b/backend/notifications/models.py new file mode 100644 index 000000000..29c890b8e --- /dev/null +++ b/backend/notifications/models.py @@ -0,0 +1,51 @@ +from django.contrib.contenttypes.fields import GenericForeignKey +from django.contrib.contenttypes.models import ContentType +from django.db import models +from django.utils import timezone + +from accounts.models import OsmUser + + +class Banner(models.Model): + message = models.TextField(max_length=500) + start_date = models.DateTimeField(default=timezone.now) + end_date = models.DateTimeField(null=True, blank=True) + + def is_displayable(self) -> bool: + now = timezone.now() + return (self.start_date <= now) and (self.end_date is None or self.end_date >= now) + + def __str__(self) -> str: + return self.message + + +class UserNotification(models.Model): + user = models.ForeignKey( + OsmUser, + to_field="osm_id", + on_delete=models.CASCADE, + related_name="notifications", + ) + is_read = models.BooleanField(default=False) + created_at = models.DateTimeField(default=timezone.now) + read_at = models.DateTimeField(null=True, blank=True) + message = models.TextField(max_length=500) + content_type = models.ForeignKey(ContentType, on_delete=models.DO_NOTHING, null=True) + object_id = models.PositiveIntegerField(null=True) + related_object = GenericForeignKey("content_type", "object_id") + + class Meta: + indexes = [ + models.Index(fields=["is_read"]), + models.Index(fields=["user"]), + ] + ordering = ["-created_at"] + + def mark_as_read(self) -> None: + if not self.is_read: + self.is_read = True + self.read_at = timezone.now() + self.save() + + def __str__(self) -> str: + return f"Notification for {self.user.username}: {self.message[:50]}" diff --git a/backend/notifications/serializers.py b/backend/notifications/serializers.py new file mode 100644 index 000000000..9364dc6ea --- /dev/null +++ b/backend/notifications/serializers.py @@ -0,0 +1,52 @@ +from rest_framework import serializers + +from accounts.models import OsmUser + +from .models import Banner, UserNotification + + +class UserSerializer(serializers.ModelSerializer): + """Compact public user view used as a nested field across the API.""" + + class Meta: + model = OsmUser + fields = ["osm_id", "username"] + read_only_fields = ["osm_id", "username"] + + +class UserStatsSerializer(serializers.ModelSerializer): + class Meta: + model = OsmUser + fields = [ + "osm_id", + "username", + "img_url", + "email", + "email_verified", + "account_deletion_requested", + "newsletter_subscription", + "notifications_delivery_methods", + "last_login", + ] + read_only_fields = [ + "osm_id", + "username", + "img_url", + "email_verified", + "last_login", + ] + + +class BannerSerializer(serializers.ModelSerializer): + is_displayable = serializers.BooleanField(read_only=True) + + class Meta: + model = Banner + fields = ["id", "message", "start_date", "end_date", "is_displayable"] + + +class UserNotificationSerializer(serializers.ModelSerializer): + class Meta: + model = UserNotification + fields = ["id", "message", "is_read", "created_at", "read_at"] + read_only_fields = ["id", "created_at", "read_at"] diff --git a/backend/notifications/urls.py b/backend/notifications/urls.py new file mode 100644 index 000000000..8fa4077c7 --- /dev/null +++ b/backend/notifications/urls.py @@ -0,0 +1,12 @@ +from django.urls import include, path +from rest_framework import routers + +from .views import BannerViewSet, UserNotificationViewSet + +router = routers.DefaultRouter() +router.register(r"banners", BannerViewSet) +router.register(r"notifications/me", UserNotificationViewSet, basename="notifications") + +urlpatterns = [ + path("", include(router.urls)), +] diff --git a/backend/notifications/views.py b/backend/notifications/views.py new file mode 100644 index 000000000..538a30288 --- /dev/null +++ b/backend/notifications/views.py @@ -0,0 +1,69 @@ +from django.utils import timezone +from drf_spectacular.utils import extend_schema, extend_schema_view, inline_serializer +from rest_framework import serializers, viewsets +from rest_framework.decorators import action +from rest_framework.permissions import IsAuthenticated +from rest_framework.response import Response + +from accounts.authentication import OsmAuthentication + +from .models import Banner, UserNotification +from .serializers import ( + BannerSerializer, + UserNotificationSerializer, +) + + +@extend_schema_view( + list=extend_schema(description="List currently-displayable banners."), + create=extend_schema(description="Create a banner (admin tooling)."), + retrieve=extend_schema(description="Retrieve one banner by id."), + update=extend_schema(description="Replace a banner."), + partial_update=extend_schema(description="Patch a banner."), + destroy=extend_schema(description="Delete a banner."), +) +class BannerViewSet(viewsets.ModelViewSet): + queryset = Banner.objects.all() + serializer_class = BannerSerializer + + def get_queryset(self): + if self.action == "list": + return Banner.objects.filter(start_date__lte=timezone.now()).order_by("-start_date") + return super().get_queryset() + + +@extend_schema_view( + list=extend_schema(description="List the authenticated user's notifications."), + retrieve=extend_schema(description="Retrieve one of the caller's notifications by id."), + mark_read=extend_schema(description="Mark one notification as read."), + mark_all_read=extend_schema(description="Mark every unread notification as read."), +) +class UserNotificationViewSet(viewsets.ReadOnlyModelViewSet): + serializer_class = UserNotificationSerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated] + queryset = UserNotification.objects.none() + + def get_queryset(self): + if getattr(self, "swagger_fake_view", False): + return UserNotification.objects.none() + return UserNotification.objects.filter(user=self.request.user) + + @extend_schema(request=None, responses=UserNotificationSerializer) + @action(detail=True, methods=["post"], url_path="mark-read") + def mark_read(self, request, pk: int | None = None) -> Response: + notification = self.get_object() + notification.mark_as_read() + return Response(UserNotificationSerializer(notification).data) + + @extend_schema( + request=None, + responses=inline_serializer( + name="MarkAllReadResponse", + fields={"detail": serializers.CharField()}, + ), + ) + @action(detail=False, methods=["post"], url_path="mark-all-read") + def mark_all_read(self, request) -> Response: + UserNotification.objects.filter(user=request.user, is_read=False).update(is_read=True) + return Response({"detail": "ok"}) diff --git a/backend/predictions/__init__.py b/backend/predictions/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/predictions/admin.py b/backend/predictions/admin.py new file mode 100644 index 000000000..b78101d4c --- /dev/null +++ b/backend/predictions/admin.py @@ -0,0 +1,21 @@ +from django.contrib import admin + +from .models import Prediction + + +@admin.register(Prediction) +class PredictionAdmin(admin.ModelAdmin): + list_display = [ + "id", + "zenml_run_id", + "local_model_stac_id", + "status", + "user", + "submitted_at", + ] + list_filter = ["status", "submitted_at"] + search_fields = ["zenml_run_id", "local_model_stac_id", "description", "user__username"] + readonly_fields = ["submitted_at", "last_polled_at"] + date_hierarchy = "submitted_at" + list_per_page = 50 + autocomplete_fields = ["user"] diff --git a/backend/predictions/apps.py b/backend/predictions/apps.py new file mode 100644 index 000000000..a84759809 --- /dev/null +++ b/backend/predictions/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class PredictionConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "predictions" diff --git a/backend/predictions/migrations/0001_initial.py b/backend/predictions/migrations/0001_initial.py new file mode 100644 index 000000000..1dd0b8e77 --- /dev/null +++ b/backend/predictions/migrations/0001_initial.py @@ -0,0 +1,42 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='Prediction', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('zenml_run_id', models.CharField(blank=True, max_length=64, null=True, unique=True)), + ('local_model_stac_id', models.CharField(max_length=64)), + ('image_uri', models.URLField()), + ('bbox', models.JSONField()), + ('zoom', models.PositiveSmallIntegerField()), + ('params', models.JSONField(blank=True, default=dict)), + ('remove_osm', models.BooleanField(default=False)), + ('is_public', models.BooleanField(db_index=True, default=False)), + ('description', models.TextField(blank=True)), + ('status_cache', models.CharField(default='initializing', max_length=20)), + ('result_files', models.JSONField(blank=True, default=dict)), + ('mapswipe_project_id', models.CharField(blank=True, max_length=100)), + ('submitted_at', models.DateTimeField(auto_now_add=True)), + ('last_polled_at', models.DateTimeField(blank=True, null=True)), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='predictions', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'ordering': ['-submitted_at'], + 'indexes': [models.Index(fields=['local_model_stac_id'], name='predictions_local_m_20abcf_idx'), models.Index(fields=['status_cache'], name='predictions_status__a25001_idx'), models.Index(fields=['user'], name='predictions_user_id_d77114_idx')], + }, + ), + ] diff --git a/backend/core/migrations/0013_remove_result_count.py b/backend/predictions/migrations/0002_remove_prediction_result_files.py similarity index 62% rename from backend/core/migrations/0013_remove_result_count.py rename to backend/predictions/migrations/0002_remove_prediction_result_files.py index 3f4e856ad..9992f7f68 100644 --- a/backend/core/migrations/0013_remove_result_count.py +++ b/backend/predictions/migrations/0002_remove_prediction_result_files.py @@ -1,14 +1,17 @@ +# Generated by Django 6.0.4 on 2026-05-05 18:25 + from django.db import migrations + class Migration(migrations.Migration): dependencies = [ - ('core', '0012_transfer_result_count'), + ('predictions', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='prediction', - name='result_count', + name='result_files', ), ] diff --git a/backend/login/migrations/0003_osmuser_email_verified.py b/backend/predictions/migrations/0003_prediction_results_ready.py similarity index 55% rename from backend/login/migrations/0003_osmuser_email_verified.py rename to backend/predictions/migrations/0003_prediction_results_ready.py index 05abdd316..cfa77d6b7 100644 --- a/backend/login/migrations/0003_osmuser_email_verified.py +++ b/backend/predictions/migrations/0003_prediction_results_ready.py @@ -1,4 +1,4 @@ -# Generated by Django 4.1.4 on 2025-04-14 14:07 +# Generated by Django 6.0.4 on 2026-05-05 21:19 from django.db import migrations, models @@ -6,13 +6,13 @@ class Migration(migrations.Migration): dependencies = [ - ('login', '0002_osmuser_account_deletion_requested_and_more'), + ('predictions', '0002_remove_prediction_result_files'), ] operations = [ migrations.AddField( - model_name='osmuser', - name='email_verified', + model_name='prediction', + name='results_ready', field=models.BooleanField(default=False), ), ] diff --git a/backend/predictions/migrations/0004_remove_prediction_predictions_status__a25001_idx_and_more.py b/backend/predictions/migrations/0004_remove_prediction_predictions_status__a25001_idx_and_more.py new file mode 100644 index 000000000..2fc2fb610 --- /dev/null +++ b/backend/predictions/migrations/0004_remove_prediction_predictions_status__a25001_idx_and_more.py @@ -0,0 +1,28 @@ +# Generated by Django 6.0.4 on 2026-05-05 21:42 + +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('predictions', '0003_prediction_results_ready'), + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.RemoveIndex( + model_name='prediction', + name='predictions_status__a25001_idx', + ), + migrations.RenameField( + model_name='prediction', + old_name='status_cache', + new_name='status', + ), + migrations.AddIndex( + model_name='prediction', + index=models.Index(fields=['status'], name='predictions_status_694ff9_idx'), + ), + ] diff --git a/backend/predictions/migrations/__init__.py b/backend/predictions/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/predictions/models.py b/backend/predictions/models.py new file mode 100644 index 000000000..d0d1d4d1b --- /dev/null +++ b/backend/predictions/models.py @@ -0,0 +1,34 @@ +from django.db import models + +from accounts.models import OsmUser + + +class Prediction(models.Model): + zenml_run_id = models.CharField(max_length=64, unique=True, null=True, blank=True) + local_model_stac_id = models.CharField(max_length=64) + image_uri = models.URLField() + bbox = models.JSONField() + zoom = models.PositiveSmallIntegerField() + params = models.JSONField(default=dict, blank=True) + remove_osm = models.BooleanField(default=False) + is_public = models.BooleanField(default=False, db_index=True) + description = models.TextField(blank=True) + status = models.CharField(max_length=20, default="initializing") + results_ready = models.BooleanField(default=False) + mapswipe_project_id = models.CharField(max_length=100, blank=True) + user = models.ForeignKey( + OsmUser, + to_field="osm_id", + on_delete=models.CASCADE, + related_name="predictions", + ) + submitted_at = models.DateTimeField(auto_now_add=True) + last_polled_at = models.DateTimeField(null=True, blank=True) + + class Meta: + indexes = [ + models.Index(fields=["local_model_stac_id"]), + models.Index(fields=["status"]), + models.Index(fields=["user"]), + ] + ordering = ["-submitted_at"] diff --git a/backend/predictions/post_run.py b/backend/predictions/post_run.py new file mode 100644 index 000000000..8f4579df0 --- /dev/null +++ b/backend/predictions/post_run.py @@ -0,0 +1,102 @@ +"""Post-run automation for predictions. + +Runs after a ZenML inference pipeline completes. Writes outputs at the +deterministic prefix `StoragePaths.prediction_output_dir_uri(prediction.id)`; +the API surfaces them by recomputing those keys when status is "completed". +""" + +import json +import logging +import shutil +import subprocess +import tempfile +from pathlib import Path +from typing import Any + +from django.conf import settings +from upath import UPath + +from shared.storage import StoragePaths + +from .models import Prediction + +logger = logging.getLogger(__name__) + + +def post_process_prediction(prediction: Prediction) -> None: + if not prediction.zenml_run_id: + raise RuntimeError(f"Prediction {prediction.id} has no zenml_run_id") + + geojson = _load_geojson(str(prediction.zenml_run_id)) + + if prediction.remove_osm: + # TODO(remove-osm): OSM conflation not yet implemented. + # Return features as-is; the removed_osm output file is not written. + logger.info( + "Prediction %s: remove_osm requested but not implemented; skipping", + prediction.id, + ) + + UPath(StoragePaths.prediction_geojson_uri(prediction.id)).write_text(json.dumps(geojson)) + _generate_fgb(geojson, prediction.id) + _generate_pmtiles(geojson, prediction.id) + logger.info("Prediction %s: post-run complete", prediction.id) + + +def _load_geojson(zenml_run_id: str) -> dict[str, Any]: + from zenml.client import Client + + run = Client().get_pipeline_run(zenml_run_id) + step = run.steps.get("run_inference") + if step is None: + raise RuntimeError(f"run_inference step not found on run {zenml_run_id}") + return step.outputs["predictions"][0].load() + + +def _generate_fgb(geojson: dict[str, Any], prediction_id: int) -> None: + # FlatGeobuf is range-queryable client-side (FlatGeobuf.js) so a public + # URL doesn't need to proxy bbox filtering through this service. + import geopandas as gpd + + gdf = gpd.GeoDataFrame.from_features(geojson.get("features", []), crs="EPSG:4326") + if gdf.empty: + gdf = gpd.GeoDataFrame({"geometry": []}, crs="EPSG:4326") + + with tempfile.TemporaryDirectory(prefix=f"fair-fgb-{prediction_id}-") as tmp: + local_fgb = Path(tmp) / "predictions.fgb" + gdf.to_file(local_fgb, driver="FlatGeobuf") + UPath(StoragePaths.prediction_fgb_uri(prediction_id)).write_bytes(local_fgb.read_bytes()) + + +def _generate_pmtiles(geojson: dict[str, Any], prediction_id: int) -> None: + # Tippecanoe is a local-only binary; stage in tempdir then upload. + if shutil.which("tippecanoe") is None: + raise RuntimeError( + "tippecanoe binary not found in PATH; install it on the worker host " + "(see https://github.com/felt/tippecanoe) before running post-process." + ) + + with tempfile.TemporaryDirectory(prefix=f"fair-pmtiles-{prediction_id}-") as tmp: + local_geojson = Path(tmp) / "predictions.geojson" + local_pmtiles = Path(tmp) / "predictions.pmtiles" + local_geojson.write_text(json.dumps(geojson)) + subprocess.run( + [ + "tippecanoe", + "-o", + str(local_pmtiles), + "-z", + str(settings.PMTILES_MAX_ZOOM), + "-Z", + str(settings.PMTILES_MIN_ZOOM), + "--force", + "--drop-densest-as-needed", + "--read-parallel", + str(local_geojson), + ], + check=True, + capture_output=True, + ) + UPath(StoragePaths.prediction_pmtiles_uri(prediction_id)).write_bytes( + local_pmtiles.read_bytes() + ) diff --git a/backend/predictions/serializers.py b/backend/predictions/serializers.py new file mode 100644 index 000000000..cd8b5f904 --- /dev/null +++ b/backend/predictions/serializers.py @@ -0,0 +1,130 @@ +from typing import Any + +from drf_spectacular.utils import extend_schema_field +from pydantic import BaseModel, Field, ValidationError, model_validator +from rest_framework import serializers + +from notifications.serializers import UserSerializer + +from .models import Prediction + +_MIN_ZOOM = 14 +_MAX_ZOOM = 22 + + +class _PredictInputSchema(BaseModel): + """Mirrors the request shape served by fair-py-ops' Knative pipeline. + + the serve runtime in fair-py-ops uses the same field names and ranges so + any model image trained today consumes the + same input contract whether it serves via Knative or runs as a ZenML job. + """ + + image_uri: str = Field(min_length=1) + bbox: list[float] = Field(min_length=4, max_length=4) + zoom: int = Field(ge=_MIN_ZOOM, le=_MAX_ZOOM) + params: dict[str, Any] = Field(default_factory=dict) + + @model_validator(mode="after") + def _check_bbox(self): + west, south, east, north = self.bbox + if west >= east or south >= north: + raise ValueError("bbox must satisfy west dict[str, str] | None: + if not obj.results_ready: + return None + from shared.storage import StoragePaths, presigned_get_url + + out: dict[str, str] = { + "geojson": presigned_get_url(StoragePaths.prediction_geojson_key(obj.id)), + "fgb": presigned_get_url(StoragePaths.prediction_fgb_key(obj.id)), + "pmtiles": presigned_get_url(StoragePaths.prediction_pmtiles_key(obj.id)), + } + return out + + class Meta: + model = Prediction + fields = [ + "id", + "zenml_run_id", + "local_model_stac_id", + "image_uri", + "bbox", + "zoom", + "params", + "remove_osm", + "is_public", + "description", + "status", + "results_ready", + "assets", + "mapswipe_project_id", + "user", + "submitted_at", + "last_polled_at", + ] + read_only_fields = [ + "id", + "zenml_run_id", + "status", + "results_ready", + "assets", + "is_public", + "user", + "submitted_at", + "last_polled_at", + ] diff --git a/backend/predictions/tasks.py b/backend/predictions/tasks.py new file mode 100644 index 000000000..fbf9224f7 --- /dev/null +++ b/backend/predictions/tasks.py @@ -0,0 +1,98 @@ +import asyncio +import logging +import tempfile +from datetime import timedelta +from pathlib import Path + +from django.conf import settings +from django.utils import timezone +from django_tasks import task +from upath import UPath + +from shared.integrations.zenml import for_user, get_run_status, is_terminal +from shared.storage import StoragePaths + +from .models import Prediction +from .post_run import post_process_prediction + +logger = logging.getLogger(__name__) + +_SYNC_INTERVAL_S = settings.PREDICTION_SYNC_INTERVAL + + +@task() +def submit_prediction(*, prediction_id: int) -> None: + prediction = Prediction.objects.get(id=prediction_id) + chips_prefix = _materialize_prediction_input(prediction) + + client = for_user(str(prediction.user.osm_id)) + zenml_run_id = client.submit_predict( + local_model_id=prediction.local_model_stac_id, + image_path=chips_prefix, + ) + prediction.zenml_run_id = zenml_run_id + prediction.status = "submitted" + prediction.save(update_fields=["zenml_run_id", "status"]) + + sync_prediction_status.using( + run_after=timezone.now() + timedelta(seconds=_SYNC_INTERVAL_S) + ).enqueue(prediction_id=prediction.id) + + +@task() +def sync_prediction_status(*, prediction_id: int) -> None: + prediction = Prediction.objects.filter(id=prediction_id).first() + if prediction is None or not prediction.zenml_run_id: + return + pipeline_done = is_terminal(prediction.status) + outputs_done = prediction.status != "completed" or prediction.results_ready + if pipeline_done and outputs_done: + return + + new_status = get_run_status(prediction.zenml_run_id) + Prediction.objects.filter(id=prediction_id).update( + status=new_status, last_polled_at=timezone.now() + ) + + needs_postrun = new_status == "completed" and not prediction.results_ready + if not is_terminal(new_status) or needs_postrun: + sync_prediction_status.using( + run_after=timezone.now() + timedelta(seconds=_SYNC_INTERVAL_S) + ).enqueue(prediction_id=prediction_id) + + if needs_postrun: + post_process_prediction(prediction) + Prediction.objects.filter(id=prediction_id).update(results_ready=True) + + +def _materialize_prediction_input(prediction: Prediction) -> str: + """Download TMS tiles for `prediction` and stage them on S3.""" + from geomltoolkits.downloader.tms import download_tiles + + s3_prefix = UPath(StoragePaths.prediction_input_dir_uri(prediction.id)) + + image_uri: str = str(prediction.image_uri) + zoom: int = int(prediction.zoom) + raw_bbox: list[float] = prediction.bbox # type: ignore[assignment] + bbox: list[float] = [float(v) for v in raw_bbox] + + with tempfile.TemporaryDirectory(prefix=f"fair-predict-{prediction.id}-") as tmp: + local_chips_dir = Path( + asyncio.run( + download_tiles( + tms=image_uri, + zoom=zoom, + out=tmp, + bbox=bbox, + georeference=True, + ) + ) + ) + remote_chips_dir = s3_prefix / local_chips_dir.name + for src in local_chips_dir.rglob("*"): + if src.is_file(): + dst = remote_chips_dir / src.relative_to(local_chips_dir) + dst.write_bytes(src.read_bytes()) + + logger.info("Prediction %s: staged chips at %s", prediction.id, remote_chips_dir) + return str(remote_chips_dir) diff --git a/backend/predictions/urls.py b/backend/predictions/urls.py new file mode 100644 index 000000000..2c26ae915 --- /dev/null +++ b/backend/predictions/urls.py @@ -0,0 +1,21 @@ +from django.urls import include, path +from rest_framework import routers + +from .views import PredictionViewSet, PublicPredictionResultView, PublicPredictionRetrieveView + +router = routers.DefaultRouter() +router.register(r"predictions", PredictionViewSet) + +urlpatterns = [ + path("", include(router.urls)), + path( + "public-predictions//", + PublicPredictionRetrieveView.as_view(), + name="public-prediction-detail", + ), + path( + "public-predictions//result/", + PublicPredictionResultView.as_view(), + name="public-prediction-result", + ), +] diff --git a/backend/predictions/views.py b/backend/predictions/views.py new file mode 100644 index 000000000..5c6372a66 --- /dev/null +++ b/backend/predictions/views.py @@ -0,0 +1,292 @@ +from django.conf import settings +from django.shortcuts import get_object_or_404 +from django_filters.rest_framework import DjangoFilterBackend +from drf_spectacular.utils import extend_schema, extend_schema_view, inline_serializer +from rest_framework import filters, serializers, status, views, viewsets +from rest_framework.decorators import action +from rest_framework.exceptions import NotFound, PermissionDenied +from rest_framework.permissions import AllowAny, IsAuthenticated +from rest_framework.response import Response +from rest_framework.throttling import ScopedRateThrottle + +from accounts.authentication import OsmAuthentication +from accounts.permissions import IsOwnerOrAdminOrReadOnly, _is_admin +from shared.integrations.stac import LOCAL_MODELS_COLLECTION, item_exists +from shared.integrations.zenml import ( + fetch_run_logs, + fetch_step_logs, + get_run_status, + is_terminal, +) +from shared.storage import StoragePaths, presigned_get_url +from trainings.serializers import LogEntrySerializer, RunStatusSerializer + +from .models import Prediction +from .serializers import ( + PredictionResultSerializer, + PredictionSerializer, + PredictionSubmitSerializer, +) +from .tasks import submit_prediction + + +class _MapswipeProjectSerializer(serializers.Serializer): + """Inline body schema for the create-mapswipe-project action.""" + + topic = serializers.CharField(max_length=200) + region = serializers.CharField(max_length=200) + description = serializers.CharField() + instruction = serializers.CharField() + look_for = serializers.CharField(max_length=200) + project_number = serializers.IntegerField(min_value=1) + organization_id = serializers.CharField(required=False) + tutorial_id = serializers.CharField(required=False) + group_size = serializers.IntegerField(required=False, default=25, min_value=1) + verification_number = serializers.IntegerField(required=False) + + def validate(self, attrs): + attrs.setdefault("organization_id", str(settings.MAPSWIPE_ORGANIZATION_ID)) + attrs.setdefault("tutorial_id", settings.MAPSWIPE_TUTORIAL_ID) + attrs.setdefault("verification_number", settings.MAPSWIPE_VERIFICATION_NUMBER) + return attrs + + +@extend_schema_view( + list=extend_schema(description="List predictions visible to the caller."), + retrieve=extend_schema(description="Retrieve one prediction by id."), + submit=extend_schema(description="Enqueue an inference ZenML pipeline run."), + run_status=extend_schema(description="Poll the live ZenML run status; updates status."), + run_logs=extend_schema( + description="Tail run logs (run-level by default, step-level with ?step=)." + ), + run_cancel=extend_schema(description="Stop a running inference pipeline."), + publish=extend_schema(description="Mark the prediction as public-readable (owner/admin)."), + unpublish=extend_schema(description="Revoke public-read access (owner/admin)."), + result=extend_schema(description="Presigned URLs for the materialized geojson/fgb/pmtiles."), + mapswipe=extend_schema( + description="Create a Mapswipe validation project from this prediction." + ), +) +class PredictionViewSet(viewsets.ReadOnlyModelViewSet): + queryset = Prediction.objects.all() + serializer_class = PredictionSerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated, IsOwnerOrAdminOrReadOnly] + filter_backends = [DjangoFilterBackend, filters.OrderingFilter] + filterset_fields = ["local_model_stac_id", "user", "status", "is_public"] + ordering_fields = ["submitted_at", "last_polled_at"] + throttle_scope = "prediction_submit" + + @action( + detail=False, + methods=["post"], + url_path="submit", + throttle_classes=[ScopedRateThrottle], + ) + def submit(self, request) -> Response: + serializer = PredictionSubmitSerializer(data=request.data) + serializer.is_valid(raise_exception=True) + payload = serializer.validated_data + + if not item_exists(LOCAL_MODELS_COLLECTION, payload["model_stac_id"]): + raise NotFound( + f"model_stac_id '{payload['model_stac_id']}' " + "not found in STAC local-models collection." + ) + + prediction = Prediction.objects.create( + local_model_stac_id=payload["model_stac_id"], + image_uri=payload["image_uri"], + bbox=payload["bbox"], + zoom=payload["zoom"], + params=payload["params"], + remove_osm=payload["remove_osm"], + description=payload["description"], + user=request.user, + ) + submit_prediction.enqueue(prediction_id=prediction.id) + return Response(PredictionSerializer(prediction).data, status=status.HTTP_202_ACCEPTED) + + def _run_for_caller(self, run_id: str) -> Prediction: + prediction = get_object_or_404(Prediction, zenml_run_id=run_id) + user = self.request.user + if not _is_admin(user) and prediction.user_id != user.osm_id: + raise PermissionDenied("Not allowed.") + return prediction + + @extend_schema(responses=RunStatusSerializer) + @action(detail=False, methods=["get"], url_path=r"runs/(?P[^/]+)/status") + def run_status(self, request, run_id: str) -> Response: + prediction = self._run_for_caller(run_id) + run_status = get_run_status(run_id) + Prediction.objects.filter(pk=prediction.pk).update(status=run_status) + return Response( + RunStatusSerializer( + {"run_id": run_id, "status": run_status, "is_terminal": is_terminal(run_status)} + ).data + ) + + @action(detail=True, methods=["get"], url_path="result") + def result(self, request, pk: int | None = None) -> Response: + """Return presigned URLs for each materialized output (geojson/fgb/pmtiles). + + FGB is the streaming-friendly format: clients (FlatGeobuf.js) can range- + query by bbox without proxying through this service. PMTiles is for + vector-tile rendering. GeoJSON is the canonical form. + """ + prediction = self.get_object() + if not prediction.results_ready: + return Response( + {"detail": "Result not ready; wait for post-run to finish."}, + status=status.HTTP_409_CONFLICT, + ) + return Response(PredictionResultSerializer(_presigned_result_urls(prediction)).data) + + @action(detail=True, methods=["post"], url_path="publish") + def publish(self, request, pk: int | None = None) -> Response: + # TODO(prediction-stac): + # - paired with unpublish below — set S3 ACL to public-read for output files. + prediction = self.get_object() + prediction.is_public = True + prediction.save(update_fields=["is_public"]) + return Response(PredictionSerializer(prediction).data) + + @action(detail=True, methods=["post"], url_path="unpublish") + def unpublish(self, request, pk: int | None = None) -> Response: + # TODO(prediction-stac): paired with publish above — flip S3 ACL + # back to private and deprecate the STAC item (don't delete). + prediction = self.get_object() + prediction.is_public = False + prediction.save(update_fields=["is_public"]) + return Response(PredictionSerializer(prediction).data) + + @action(detail=True, methods=["post"], url_path="mapswipe") + def mapswipe(self, request, pk: int | None = None) -> Response: + from shared.integrations.mapswipe import MapswipeClient + + prediction = self.get_object() + if not settings.ENABLE_MAPSWIPE: + return Response( + {"detail": "Mapswipe integration is disabled (ENABLE_MAPSWIPE=false)."}, + status=status.HTTP_503_SERVICE_UNAVAILABLE, + ) + if not prediction.results_ready: + return Response( + {"detail": "Result not ready; wait for post-run to finish."}, + status=status.HTTP_409_CONFLICT, + ) + + body = _MapswipeProjectSerializer(data=request.data) + body.is_valid(raise_exception=True) + params = body.validated_data + + geojson_url = presigned_get_url(StoragePaths.prediction_geojson_key(prediction.id)) + client = MapswipeClient( + backend_url=settings.MAPSWIPE_BACKEND_URL, + manager_url=settings.MAPSWIPE_MANAGER_URL, + fb_auth_url=settings.MAPSWIPE_FB_AUTH_URL, + fb_username=settings.MAPSWIPE_FB_USERNAME, + fb_password=settings.MAPSWIPE_FB_PASSWORD, + csrftoken_key=settings.MAPSWIPE_CSRFTOKEN_KEY, + ) + project_id, image_asset_id = client.create_validation_project( + topic=params["topic"], + region=params["region"], + description=params["description"], + instruction=params["instruction"], + look_for=params["look_for"], + project_number=params["project_number"], + organization_id=params["organization_id"], + ) + client.update_project( + project_id=project_id, + geojson_url=geojson_url, + tms_url=str(prediction.image_uri), + image_asset_id=image_asset_id, + group_size=params["group_size"], + verification_number=params["verification_number"], + tutorial_id=params["tutorial_id"], + ) + prediction.mapswipe_project_id = project_id + prediction.save(update_fields=["mapswipe_project_id"]) + return Response( + {"prediction_id": prediction.id, "mapswipe_project_id": project_id}, + status=status.HTTP_201_CREATED, + ) + + @extend_schema( + request=None, + responses=inline_serializer( + name="PredictionRunCancelResponse", + fields={ + "run_id": serializers.CharField(), + "status": serializers.CharField(), + "graceful": serializers.BooleanField(), + }, + ), + ) + @action(detail=False, methods=["post"], url_path=r"runs/(?P[^/]+)/cancel") + def run_cancel(self, request, run_id: str) -> Response: + from zenml.client import Client + from zenml.utils.run_utils import stop_run + + prediction = self._run_for_caller(run_id) + run = Client().get_pipeline_run(run_id) + graceful = request.query_params.get("graceful", "false").lower() == "true" + stop_run(run, graceful=graceful) + Prediction.objects.filter(pk=prediction.pk).update(status="stopping") + return Response({"run_id": run_id, "status": "stopping", "graceful": graceful}) + + @extend_schema(responses=LogEntrySerializer(many=True)) + @action(detail=False, methods=["get"], url_path=r"runs/(?P[^/]+)/logs") + def run_logs(self, request, run_id: str) -> Response: + self._run_for_caller(run_id) + tail = int(request.query_params.get("tail", 1000)) + step = request.query_params.get("step") + if step: + entries = fetch_step_logs(run_id, step, tail=tail) + else: + entries = fetch_run_logs(run_id, tail=tail) + data = [{"level": e.level, "message": e.message, "timestamp": e.timestamp} for e in entries] + return Response(LogEntrySerializer(data, many=True).data) + + +@extend_schema(tags=["public-predictions"]) +class PublicPredictionRetrieveView(views.APIView): + """Anonymous read-only access to predictions whose owner ran `publish`.""" + + authentication_classes: list = [] + permission_classes = [AllowAny] + serializer_class = PredictionSerializer + + @extend_schema(responses=PredictionSerializer) + def get(self, request, pk: int) -> Response: + prediction = get_object_or_404(Prediction, pk=pk, is_public=True) + return Response(PredictionSerializer(prediction).data) + + +@extend_schema(tags=["public-predictions"]) +class PublicPredictionResultView(views.APIView): + """Presigned URLs for a published prediction's output formats.""" + + authentication_classes: list = [] + permission_classes = [AllowAny] + serializer_class = PredictionResultSerializer + + @extend_schema(responses={200: PredictionResultSerializer, 409: None}) + def get(self, request, pk: int) -> Response: + prediction = get_object_or_404(Prediction, pk=pk, is_public=True) + if not prediction.results_ready: + return Response( + {"detail": "Result not ready; wait for post-run to finish."}, + status=status.HTTP_409_CONFLICT, + ) + return Response(PredictionResultSerializer(_presigned_result_urls(prediction)).data) + + +def _presigned_result_urls(prediction: Prediction) -> dict[str, str]: + return { + "geojson": presigned_get_url(StoragePaths.prediction_geojson_key(prediction.id)), + "fgb": presigned_get_url(StoragePaths.prediction_fgb_key(prediction.id)), + "pmtiles": presigned_get_url(StoragePaths.prediction_pmtiles_key(prediction.id)), + } diff --git a/backend/pyproject.toml b/backend/pyproject.toml index a89171bd0..dec463a89 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -1,82 +1,113 @@ [project] -name = "fAIr" -version = "1.0.1" -description = "AI Assisted Mapping" +name = "fair-backend" +version = "2.0.0" +description = "AI-Assisted Mapping backend" readme = "README.md" -requires-python = ">=3.10" -license = {text = "AGPL-3.0 license"} -authors = [ - {name = "HOTOSM", email = "sysadmin@hotosm.org"}, -] +requires-python = ">=3.12" +license = { text = "AGPL-3.0-only" } +authors = [{ name = "HOTOSM", email = "sysadmin@hotosm.org" }] +maintainers = [{ name = "Kshitij Raj Sharma", email = "krschap@proton.me" }] + dependencies = [ + "adrf>=0.1.12", + "boto3>=1.40", + "dj-database-url>=2.3", + "django>=6.0,<6.1", + "django-cors-headers>=4.6", + "django-filter>=24.3", + "django-tasks>=0.12", + "django-tasks-db>=0.5", + "djangorestframework>=3.15", + "djangorestframework-gis>=1.1", + "drf-spectacular>=0.29", + "fair-py-ops[k8s]==0.3.0", + "geomltoolkits>=2.1.0", + "geopandas>=1.0", + "gpxpy>=1.6", + "gunicorn>=23.0", + "hotosm-auth[django]==0.2.12", "httpx>=0.28.1", - "osmconflator>=0.0.11", - "python-ulid>=3.1.0", - "tomli>=2.0.1; python_version < '3.11'", + "numpy>=2.0", + "psycopg-pool>=3.3.1", + "psycopg[binary]>=3.2", + "pydantic>=2.10", + "pydantic-settings>=2.7", + "pyogrio>=0.10", + "python-ulid>=3.1", + "shapely>=2.0", ] +[dependency-groups] +dev = ["commitizen>=4.10", "pre-commit>=4.0", "ruff>=0.15", "ty==0.0.1a23"] +sentry = ["sentry-sdk>=2.59.0"] +test = ["coverage>=7.10", "pytest-django>=4.5", "responses>=0.25"] + [tool.uv] -default-groups = ["api"] +package = false +default-groups = ["dev", "test"] +override-dependencies = ["pyjwt[crypto]>=2.8.0,<3"] -[dependency-groups] -api = [ - "boto3>=1.37.38", - "celery>=5.5.2", - "dj-database-url>=2.3.0", - "django>=4.2.21", - "django-celery-results>=2.6.0", - "django-cors-headers>=4.4.0", - "django-environ>=0.11.2", - "django-filter>=24.3", - "django-leaflet>=0.31.0", - "django-q2>=1.7.6", - "django-ratelimit>=4.1.0", - "django-redis>=5.4.0", - "djangorestframework>=3.15.2", - "djangorestframework-gis>=1.0", - "drf-spectacular>=0.29.0", - "flower>=2.0.1", - "geojson2osm>=0.0.1", - "geomltoolkits>=0.4.2", - "geopandas>=0.13.2", - "gpxpy>=1.6.2", - "gunicorn>=23.0.0", - "hotosm-auth[django]==0.2.12", - "mercantile>=1.2.1", - "numpy>=1.24.4", - "osm-login-python>=2.1.4", - "psycopg2>=2.9.10", - "pyarrow>=21.0.0", - "pyogrio>=0.6.0, <0.7.0", - "rasterio>=1.3.11", - "redis>=6.0.0", - "validators>=0.34.0", +[tool.ruff] +target-version = "py312" +line-length = 100 +extend-exclude = [ + "**/migrations/**", + "shared/integrations/mapswipe.py", + "tests/**", + "login/**", ] -dev = [ - "commitizen>=3.31.0", -] -test = [ - "coverage>=7.10.7", - "factory-boy>=3.3.3", - "pytest-django>=4.5.2", - "responses>=0.25.8", -] -base-workers = [ - "hot-fair-utilities>=2.0.12", - "tippecanoe>=2.72.0", - "watchdog>=6.0.0", -] -ramp-workers = [ - "numpy>=1.24.4,<2", - "protobuf>=3.19.6,<4", - "shapely>=1.8.0,<2", -] -yolo-workers = [ +[tool.ruff.lint] +select = ["E", "F", "W", "I", "N", "UP", "B", "SIM", "RUF"] +# RUF012 (mutable defaults) is over-eager for Django ORM: +# `list_display = [...]`, `Meta.indexes = [...]`, etc. Django expects these as class +# attrs; they're not the Python anti-pattern RUF012 is targeting. +ignore = ["RUF012"] + +[tool.ty.environment] +root = ["."] + +[tool.ty.rules] +unresolved-import = "ignore" +unresolved-attribute = "ignore" +possibly-missing-attribute = "ignore" +possibly-missing-implicit-call = "ignore" +deprecated = "ignore" +missing-argument = "ignore" + +[tool.ty.src] +exclude = [ + "**/migrations/**", + "**/tests/**", + "shared/integrations/mapswipe.py", + "login/**", ] -prediction-workers = [ - "fairpredictor>=0.3.15", - "pydantic>=2.12.5", - "tippecanoe>=2.72.0", + +[tool.pytest.ini_options] +DJANGO_SETTINGS_MODULE = "config.settings" +python_files = ["test_*.py", "tests.py"] +addopts = "-ra --strict-markers" + +[tool.coverage.run] +source = [ + "datasets", + "feedback", + "login", + "modelregistry", + "notifications", + "prediction", + "shared", + "system", + "training", + "workspace", + "config", ] +omit = ["**/migrations/**", "**/tests/**"] +[tool.commitizen] +name = "cz_conventional_commits" +tag_format = "v$version" +version_scheme = "semver" +version_provider = "pep621" +update_changelog_on_bump = true +major_version_zero = false diff --git a/backend/pytest.ini b/backend/pytest.ini deleted file mode 100644 index 8dcc48af9..000000000 --- a/backend/pytest.ini +++ /dev/null @@ -1,4 +0,0 @@ -[pytest] -DJANGO_SETTINGS_MODULE = fairproject.settings -python_files = tests.py test_*.py *_tests.py -pythonpath = . diff --git a/backend/sample_env b/backend/sample_env deleted file mode 100644 index 6a6ff262f..000000000 --- a/backend/sample_env +++ /dev/null @@ -1,46 +0,0 @@ -DEBUG=True -# SECRET_KEY=your-production-secret-key - -# DATABASE_URL=sqlite:///db.sqlite3 -DATABASE_URL=postgis://admin:password@localhost:5432/fair -# DATABASE_SSL_MODE=require - -# Authentication: "legacy" (default) or "hanko" -AUTH_PROVIDER=legacy - -# Legacy OSM OAuth (when AUTH_PROVIDER=legacy) -OSM_CLIENT_ID=your-osm-client-id -OSM_CLIENT_SECRET=your-osm-client-secret -OSM_SECRET_KEY=your-osm-secret-key -OSM_URL=https://www.openstreetmap.org -OSM_SCOPE=read_prefs -OSM_LOGIN_REDIRECT_URI=http://127.0.0.1:8000/api/v1/auth/callback/ - -# Hanko SSO (when AUTH_PROVIDER=hanko) -# HANKO_API_URL=https://login.hotosm.org -# COOKIE_SECRET=shared-secret-for-cookie-encryption -# COOKIE_DOMAIN=.hotosm.org -# LOGIN_URL=https://login.hotosm.org - -HOSTNAME=127.0.0.1 -API_BASE_URL=http://127.0.0.1:8000/api/v1 -FRONTEND_URL=http://localhost:3000 -# ALLOWED_HOSTS=yourdomain.com,api.yourdomain.com - -RAMP_HOME=/path/to/ramp-code -TRAINING_WORKSPACE=/tmp/fair-training -PREDICTION_WORKSPACE=/tmp/fair-prediction - -REDIS_URL=redis://127.0.0.1:6379/1 -CELERY_BROKER_URL=redis://127.0.0.1:6379/0 -CELERY_RESULT_BACKEND=redis://127.0.0.1:6379/0 - -EXPORT_TOOL_API_URL=https://api-prod.raw-data.hotosm.org/v1 -# GDAL_LIBRARY_PATH=/usr/lib/libgdal.so - -LOG_PATH=/tmp/fair-logs - -# CORS_ALLOWED_ORIGINS=https://yourdomain.com -# CSRF_TRUSTED_ORIGINS=https://yourdomain.com - -TESTING_TOKEN=your_osm_access_token_only_for_tests diff --git a/backend/shared/__init__.py b/backend/shared/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/shared/exceptions.py b/backend/shared/exceptions.py new file mode 100644 index 000000000..8a44dde7a --- /dev/null +++ b/backend/shared/exceptions.py @@ -0,0 +1,128 @@ +# ruff: noqa: N818 + +import logging +from typing import Any + +from django.core.exceptions import ValidationError as DjangoValidationError +from rest_framework import status +from rest_framework.response import Response +from rest_framework.views import exception_handler + +logger = logging.getLogger(__name__) + + +class FairBaseError(Exception): + default_message = "An error occurred" + status_code = status.HTTP_500_INTERNAL_SERVER_ERROR + error_code = "FAIR_ERROR" + + def __init__(self, message: str | None = None, details: dict[str, Any] | None = None): + self.message = message or self.default_message + self.details = details or {} + super().__init__(self.message) + + def to_dict(self) -> dict[str, Any]: + return { + "error": { + "code": self.error_code, + "message": self.message, + "details": self.details, + } + } + + +class ValidationException(FairBaseError): + default_message = "Validation failed" + status_code = status.HTTP_400_BAD_REQUEST + error_code = "VALIDATION_ERROR" + + +class GeometryValidationException(ValidationException): + error_code = "GEOMETRY_VALIDATION_ERROR" + + +class AuthenticationException(FairBaseError): + default_message = "Authentication required" + status_code = status.HTTP_401_UNAUTHORIZED + error_code = "AUTHENTICATION_ERROR" + + +class LoginException(FairBaseError): + default_message = "Login failed" + status_code = status.HTTP_401_UNAUTHORIZED + error_code = "LOGIN_ERROR" + + +def custom_exception_handler(exc, context): + from fair.client import FairClientError + + if isinstance(exc, FairClientError): + logger.warning("FairClientError: %s", exc) + return Response( + { + "error": { + "code": "STAC_VALIDATION_ERROR", + "message": str(exc), + } + }, + status=status.HTTP_422_UNPROCESSABLE_ENTITY, + ) + + if isinstance(exc, FairBaseError): + logger.warning("Fair error: %s - %s", exc.error_code, exc.message) + return Response(exc.to_dict(), status=exc.status_code) + + if isinstance(exc, DjangoValidationError): + wrapped = ValidationException( + message="Validation failed", + details={ + "validation_errors": exc.message_dict + if hasattr(exc, "message_dict") + else [str(exc)] + }, + ) + return Response(wrapped.to_dict(), status=wrapped.status_code) + + response = exception_handler(exc, context) + if response is None: + return None + + code_for_status = { + status.HTTP_400_BAD_REQUEST: ("VALIDATION_ERROR", "Invalid request data"), + status.HTTP_401_UNAUTHORIZED: ("AUTHENTICATION_ERROR", "Authentication required"), + status.HTTP_403_FORBIDDEN: ("AUTHORIZATION_ERROR", "Permission denied"), + status.HTTP_404_NOT_FOUND: ("RESOURCE_NOT_FOUND", "Resource not found"), + status.HTTP_405_METHOD_NOT_ALLOWED: ("METHOD_NOT_ALLOWED", "HTTP method not allowed"), + status.HTTP_429_TOO_MANY_REQUESTS: ("RATE_LIMIT_EXCEEDED", "Rate limit exceeded"), + } + code, message = code_for_status.get( + response.status_code, ("DRF_ERROR", "Request processing failed") + ) + if response.status_code >= 500: + code, message = "INTERNAL_SERVER_ERROR", "Internal server error" + logger.error("Internal server error: %s", exc, exc_info=True) + + response.data = {"error": {"code": code, "message": message, "details": response.data}} + return response + + +def handle_validation_error( + field_name: str, message: str, value: Any = None +) -> ValidationException: + details: dict[str, Any] = {"field": field_name, "message": message} + if value is not None: + details["invalid_value"] = str(value) + return ValidationException( + message=f"Validation failed for field '{field_name}': {message}", details=details + ) + + +def handle_geometry_error( + geometry_type: str, error_message: str, geometry_data: Any = None +) -> GeometryValidationException: + details = {"geometry_type": geometry_type, "error": error_message} + if geometry_data is not None: + details["data"] = str(geometry_data)[:200] + return GeometryValidationException( + message=f"Invalid {geometry_type} geometry: {error_message}", details=details + ) diff --git a/backend/shared/integrations/__init__.py b/backend/shared/integrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/core/mapswipe_client.py b/backend/shared/integrations/mapswipe.py similarity index 98% rename from backend/core/mapswipe_client.py rename to backend/shared/integrations/mapswipe.py index 9d6bc48bc..cd4ffa2d2 100644 --- a/backend/core/mapswipe_client.py +++ b/backend/shared/integrations/mapswipe.py @@ -3,7 +3,6 @@ from urllib.parse import urlparse import httpx -import requests from django.conf import settings from ulid import ULID @@ -169,9 +168,7 @@ def _authenticate(self): "origin": self._manager_url, } - def _graphql_request( - self, query: str, variables: dict = None, operation_name: str = None - ): + def _graphql_request(self, query: str, variables: dict = None, operation_name: str = None): payload = {"query": query, "variables": variables} if operation_name: payload["operationName"] = operation_name @@ -183,9 +180,7 @@ def _graphql_request( raise RuntimeError(f"GraphQL errors: {data['errors']}") return data["data"] - def _graphql_request_with_files( - self, query: str, files: dict, map_data: dict, variables: dict - ): + def _graphql_request_with_files(self, query: str, files: dict, map_data: dict, variables: dict): form_data = { "operations": json.dumps({"query": query, "variables": variables}), "map": json.dumps(map_data), @@ -253,7 +248,7 @@ def is_url(path): return False if is_url(cover_image_path): - response = requests.get(cover_image_path) + response = httpx.get(cover_image_path, timeout=30.0) response.raise_for_status() image_data = response.content filename = cover_image_path.split("/")[-1] diff --git a/backend/shared/integrations/stac.py b/backend/shared/integrations/stac.py new file mode 100644 index 000000000..324c6b5e4 --- /dev/null +++ b/backend/shared/integrations/stac.py @@ -0,0 +1,175 @@ +"""STAC catalog access for the fAIr backend. + +Wraps fair-py-ops' backend Protocol with a Django LocMem cache layer and +helpers used by the API serializers and pin/unpin actions. Property +mutations go through ``patch_item`` (single roundtrip via JSON Merge Patch); +``set_item_property`` is the convenience wrapper for the one-key case. +""" + +from concurrent.futures import ThreadPoolExecutor + +import pystac +from django.conf import settings +from django.core.cache import cache +from fair.stac.constants import ( + BASE_MODELS_COLLECTION, + DATASETS_COLLECTION, + LOCAL_MODELS_COLLECTION, +) + +from .zenml import get_master_client + +__all__ = [ + "BASE_MODELS_COLLECTION", + "DATASETS_COLLECTION", + "FAIR_PINNED_PROPERTY", + "LOCAL_MODELS_COLLECTION", + "bulk_get_cached_items", + "deprecate_item", + "get_active_local_model_item", + "get_base_model", + "get_cached_item", + "get_dataset", + "get_local_model", + "invalidate_stac_cache", + "item_exists", + "list_base_models", + "list_datasets", + "list_local_models", + "serialize_item", + "set_item_property", +] + +FAIR_PINNED_PROPERTY = "fair:pinned" + +_CACHE_TTL_SECONDS = settings.STAC_CACHE_TTL +_BULK_FETCH_MAX_WORKERS = settings.STAC_BULK_FETCH_WORKERS + + +def _backend(): + return get_master_client()._get_backend() + + +def get_base_model(item_id: str) -> pystac.Item: + return _backend().get_item(BASE_MODELS_COLLECTION, item_id) + + +def get_dataset(item_id: str) -> pystac.Item: + return _backend().get_item(DATASETS_COLLECTION, item_id) + + +def get_local_model(item_id: str) -> pystac.Item: + return _backend().get_item(LOCAL_MODELS_COLLECTION, item_id) + + +def list_base_models(*, limit: int | None = None) -> list[pystac.Item]: + return _backend().list_items(BASE_MODELS_COLLECTION, limit=limit) + + +def list_datasets(*, limit: int | None = None) -> list[pystac.Item]: + return _backend().list_items(DATASETS_COLLECTION, limit=limit) + + +def list_local_models(*, limit: int | None = None) -> list[pystac.Item]: + return _backend().list_items(LOCAL_MODELS_COLLECTION, limit=limit) + + +def item_exists(collection_id: str, item_id: str) -> bool: + return _backend().item_exists(collection_id, item_id) + + +def deprecate_item(collection_id: str, item_id: str) -> pystac.Item: + invalidate_stac_cache(collection_id, item_id) + return _backend().deprecate_item(collection_id, item_id) + + +def serialize_item(item: pystac.Item) -> dict: + """JSON-safe extract of the STAC fields the API exposes. + + Narrow on purpose: cards/detail need description, datetime, geometry, + assets, properties, links. Anything else stays inside the raw STAC item + and is not surfaced through the backend. + """ + raw = item.to_dict(include_self_link=False, transform_hrefs=False) + properties = raw.get("properties") or {} + return { + "description": properties.get("description"), + "datetime": properties.get("datetime"), + "geometry": raw.get("geometry"), + "assets": raw.get("assets") or {}, + "properties": properties, + "links": raw.get("links") or [], + } + + +def _cache_key(collection_id: str, item_id: str) -> str: + return f"stac:{collection_id}:{item_id}" + + +def get_cached_item(collection_id: str, item_id: str) -> dict: + """Fetch a STAC item through the LocMem cache. Raises on STAC error.""" + key = _cache_key(collection_id, item_id) + hit = cache.get(key) + if hit is not None: + return hit + payload = serialize_item(_backend().get_item(collection_id, item_id)) + cache.set(key, payload, _CACHE_TTL_SECONDS) + return payload + + +def bulk_get_cached_items( + pairs: list[tuple[str, str]], +) -> dict[tuple[str, str], dict]: + """Parallel cold-fetch for a page of items. Cached entries skip the network. + + Raises if any backing STAC fetch fails (consistent with fail-loud). + """ + if not pairs: + return {} + + keys = [_cache_key(c, i) for c, i in pairs] + cached = cache.get_many(keys) + result: dict[tuple[str, str], dict] = {} + misses: list[tuple[str, str]] = [] + for (collection_id, item_id), key in zip(pairs, keys, strict=True): + if key in cached: + result[(collection_id, item_id)] = cached[key] + else: + misses.append((collection_id, item_id)) + + if misses: + with ThreadPoolExecutor(max_workers=min(_BULK_FETCH_MAX_WORKERS, len(misses))) as pool: + fetched = list(pool.map(lambda p: (p, serialize_item(_backend().get_item(*p))), misses)) + to_set = {_cache_key(c, i): payload for (c, i), payload in fetched} + cache.set_many(to_set, _CACHE_TTL_SECONDS) + for (collection_id, item_id), payload in fetched: + result[(collection_id, item_id)] = payload + + return result + + +def invalidate_stac_cache(collection_id: str, item_id: str) -> None: + cache.delete(_cache_key(collection_id, item_id)) + + +def get_active_local_model_item(model_name: str) -> pystac.Item | None: + # STAC items are keyed by version UUID; callers that hold the slug + # (LocalModel.name == mlm:name) need this lookup before writing + # per-version properties. + # TODO(stac-cql2): linear scan via list_items. Plumb a CQL2 search through + # the StacBackend protocol once it's needed at scale. + for item in _backend().list_items(LOCAL_MODELS_COLLECTION): + if item.properties.get("mlm:name") != model_name: + continue + if item.properties.get("deprecated"): + continue + return item + return None + + +def set_item_property(collection_id: str, item_id: str, key: str, value: object) -> dict: + # JSON Merge Patch single-key write. Refreshes the cache to the new value. + patched = _backend().patch_item(collection_id, item_id, {"properties": {key: value}}) + payload = serialize_item(patched) + cache.set(_cache_key(collection_id, item_id), payload, _CACHE_TTL_SECONDS) + return payload diff --git a/backend/shared/integrations/zenml.py b/backend/shared/integrations/zenml.py new file mode 100644 index 000000000..054f6dbf0 --- /dev/null +++ b/backend/shared/integrations/zenml.py @@ -0,0 +1,97 @@ +import tempfile +from functools import lru_cache +from pathlib import Path + +from django.conf import settings +from fair.client import FairClient, UserScopedFairClient +from fair.zenml.runs import ( + LogEntry, + RunStatus, + RunSummary, +) +from fair.zenml.runs import ( + fetch_run_logs as _fetch_run_logs, +) +from fair.zenml.runs import ( + fetch_step_logs as _fetch_step_logs, +) +from fair.zenml.runs import ( + get_run_status as _get_run_status, +) +from fair.zenml.runs import ( + is_terminal as _is_terminal, +) +from fair.zenml.runs import ( + list_runs_for_model as _list_runs_for_model, +) + +__all__ = [ + "LogEntry", + "RunStatus", + "RunSummary", + "fetch_run_logs", + "fetch_step_logs", + "for_user", + "get_master_client", + "get_run_status", + "is_terminal", + "list_runs_for_model", + "reset_master_client", +] + + +def _required_setting(name: str) -> str: + value = getattr(settings, name, None) + if not value: + raise RuntimeError(f"settings.{name} is required for ZenML/STAC operations but is unset") + return str(value) + + +@lru_cache(maxsize=1) +def _config_dir() -> Path: + base = Path(tempfile.gettempdir()) / "fair-config" + base.mkdir(parents=True, exist_ok=True) + return base + + +@lru_cache(maxsize=1) +def get_master_client() -> FairClient: + """Process-wide FairClient. setup() runs once per worker.""" + client = FairClient( + zenml_store_url=_required_setting("FAIR_ZENML_STORE_URL"), + stac_api_url=_required_setting("FAIR_STAC_API_URL"), + stac_api_key=getattr(settings, "FAIR_STAC_API_KEY", None), + user_id="fair-backend", + config_dir=str(_config_dir()), + upload_artifacts=True, + ) + client.setup() + return client + + +def reset_master_client() -> None: + get_master_client.cache_clear() + + +def for_user(user_id: str) -> UserScopedFairClient: + return get_master_client().with_user(user_id) + + +def get_run_status(run_id: str) -> RunStatus: + return _get_run_status(run_id) + + +def fetch_run_logs(run_id: str, *, tail: int = 1000) -> list[LogEntry]: + return _fetch_run_logs(run_id, tail=tail) + + +def fetch_step_logs(run_id: str, step_name: str, *, tail: int = 1000) -> list[LogEntry]: + return _fetch_step_logs(run_id, step_name, tail=tail) + + +def list_runs_for_model(model_name: str, *, limit: int = 50) -> list[RunSummary]: + return _list_runs_for_model(model_name, limit=limit) + + +def is_terminal(status: RunStatus) -> bool: + return _is_terminal(status) diff --git a/backend/shared/serializers.py b/backend/shared/serializers.py new file mode 100644 index 000000000..3df062657 --- /dev/null +++ b/backend/shared/serializers.py @@ -0,0 +1,23 @@ +from rest_framework import serializers + + +class StacAssetSerializer(serializers.Serializer): + href = serializers.CharField() + type = serializers.CharField(required=False) + title = serializers.CharField(required=False) + roles = serializers.ListField(child=serializers.CharField(), required=False) + + +class StacFacetSerializer(serializers.Serializer): + """The slice of a STAC item the API merges into list/detail responses. + + `properties` is a free dict so consumers can read fAIr extensions + (`fair:pinned`, `fair:metrics_spec`, etc.) without redeclaring them. + """ + + description = serializers.CharField(allow_null=True, required=False) + datetime = serializers.CharField(allow_null=True, required=False) + geometry = serializers.JSONField(allow_null=True, required=False) + assets = serializers.DictField(child=StacAssetSerializer(), required=False) + properties = serializers.DictField(required=False) + links = serializers.ListField(child=serializers.DictField(), required=False) diff --git a/backend/shared/stars.py b/backend/shared/stars.py new file mode 100644 index 000000000..538348f67 --- /dev/null +++ b/backend/shared/stars.py @@ -0,0 +1,41 @@ +"""Shared helpers for annotating querysets with `star_count` and `is_starred`. + +Stars are keyed on `Star.target_id` (no FK to LocalModel/Dataset), so the +join is via subquery rather than a related-name aggregate. Works for any +queryset whose rows expose a slug-shaped column. Datasets join on `stac_id` +(its slug); LocalModel joins on `name`. +""" + +from django.db.models import ( + BooleanField, + Count, + Exists, + IntegerField, + OuterRef, + QuerySet, + Subquery, + Value, +) +from django.db.models.functions import Coalesce + +from stars.models import Star + + +def annotate_stars(queryset: QuerySet, request, *, key_field: str = "stac_id") -> QuerySet: + """Attach `star_count` and `is_starred` annotations keyed on the row's `key_field`.""" + star_count_sq = Subquery( + Star.objects.filter(target_id=OuterRef(key_field)) + .values("target_id") + .annotate(c=Count("id")) + .values("c")[:1], + output_field=IntegerField(), + ) + qs = queryset.annotate(star_count=Coalesce(star_count_sq, 0)) + user = getattr(request, "user", None) + if user is not None and user.is_authenticated: + qs = qs.annotate( + is_starred=Exists(Star.objects.filter(target_id=OuterRef(key_field), user=user)) + ) + else: + qs = qs.annotate(is_starred=Value(False, output_field=BooleanField())) + return qs diff --git a/backend/shared/storage.py b/backend/shared/storage.py new file mode 100644 index 000000000..ebdafcc60 --- /dev/null +++ b/backend/shared/storage.py @@ -0,0 +1,156 @@ +from django.conf import settings +from fair.utils.storage import DatasetStoragePaths, LocalModelStoragePaths + + +def presigned_get_url(key: str) -> str: + return settings.S3_CLIENT.generate_presigned_url( + ClientMethod="get_object", + Params={"Bucket": settings.BUCKET_NAME, "Key": key}, + ExpiresIn=settings.PRESIGNED_URL_EXPIRY, + ) + + +class StoragePaths: + # Source of truth for every S3 path the backend writes or reads. Roots + # live as class attrs so a future scheme tweak (e.g. tenant prefix) is + # one edit. Methods come in two flavours per artifact: + # - `*_key()` -> "{key}" — for boto3 presigning. + # - `*_uri()` -> "s3://{bucket}/{key}" — for upath/fsspec writes. + + DATASETS_ROOT = "datasets" + DATASETS_DOWNLOAD_SUBDIR = "download" + PREDICTIONS_ROOT = "predict" + LOCAL_MODELS_ROOT = "local-models" + LOCAL_MODELS_CHECKPOINT_SUBDIR = "checkpoint" + LOCAL_MODELS_MODEL_SUBDIR = "model" + LOCAL_MODELS_METRICS_SUBDIR = "training-metrics" + + LABELS_GEOJSON_FILENAME = "labels.geojson" + PREDICTION_GEOJSON_FILENAME = "predictions.geojson" + PREDICTION_FGB_FILENAME = "predictions.fgb" + PREDICTION_PMTILES_FILENAME = "predictions.pmtiles" + PREDICTION_REMOVED_OSM_FILENAME = "removed_osm.geojson" + + @staticmethod + def _bucket() -> str: + return settings.BUCKET_NAME + + @classmethod + def _uri(cls, key: str) -> str: + return f"s3://{cls._bucket()}/{key}" + + # --- datasets --- + + @classmethod + def dataset_chips_dir_key(cls, stac_id: str) -> str: + return f"{cls.DATASETS_ROOT}/{stac_id}/chips" + + @classmethod + def dataset_chips_dir_uri(cls, stac_id: str) -> str: + return cls._uri(cls.dataset_chips_dir_key(stac_id)) + + @classmethod + def dataset_labels_dir_key(cls, stac_id: str) -> str: + return f"{cls.DATASETS_ROOT}/{stac_id}/labels" + + @classmethod + def dataset_labels_dir_uri(cls, stac_id: str) -> str: + return cls._uri(cls.dataset_labels_dir_key(stac_id)) + + @classmethod + def dataset_labels_geojson_key(cls, stac_id: str) -> str: + return f"{cls.dataset_labels_dir_key(stac_id)}/{cls.LABELS_GEOJSON_FILENAME}" + + @classmethod + def dataset_labels_geojson_uri(cls, stac_id: str) -> str: + return cls._uri(cls.dataset_labels_geojson_key(stac_id)) + + @classmethod + def dataset_download_key(cls, stac_id: str, filename: str) -> str: + return f"{cls.DATASETS_ROOT}/{stac_id}/{cls.DATASETS_DOWNLOAD_SUBDIR}/{filename}" + + # --- predictions: input chips --- + + @classmethod + def prediction_input_dir_key(cls, prediction_id: int) -> str: + return f"{cls.PREDICTIONS_ROOT}/{prediction_id}/input" + + @classmethod + def prediction_input_dir_uri(cls, prediction_id: int) -> str: + return cls._uri(cls.prediction_input_dir_key(prediction_id)) + + # --- predictions: outputs (deterministic; populated by post_run) --- + + @classmethod + def prediction_output_dir_key(cls, prediction_id: int) -> str: + return f"{cls.PREDICTIONS_ROOT}/{prediction_id}/output" + + @classmethod + def prediction_output_dir_uri(cls, prediction_id: int) -> str: + return cls._uri(cls.prediction_output_dir_key(prediction_id)) + + @classmethod + def prediction_geojson_key(cls, prediction_id: int) -> str: + return f"{cls.prediction_output_dir_key(prediction_id)}/{cls.PREDICTION_GEOJSON_FILENAME}" + + @classmethod + def prediction_geojson_uri(cls, prediction_id: int) -> str: + return cls._uri(cls.prediction_geojson_key(prediction_id)) + + @classmethod + def prediction_fgb_key(cls, prediction_id: int) -> str: + return f"{cls.prediction_output_dir_key(prediction_id)}/{cls.PREDICTION_FGB_FILENAME}" + + @classmethod + def prediction_fgb_uri(cls, prediction_id: int) -> str: + return cls._uri(cls.prediction_fgb_key(prediction_id)) + + @classmethod + def prediction_pmtiles_key(cls, prediction_id: int) -> str: + return f"{cls.prediction_output_dir_key(prediction_id)}/{cls.PREDICTION_PMTILES_FILENAME}" + + @classmethod + def prediction_pmtiles_uri(cls, prediction_id: int) -> str: + return cls._uri(cls.prediction_pmtiles_key(prediction_id)) + + @classmethod + def prediction_removed_osm_key(cls, prediction_id: int) -> str: + out = cls.prediction_output_dir_key(prediction_id) + return f"{out}/{cls.PREDICTION_REMOVED_OSM_FILENAME}" + + @classmethod + def prediction_removed_osm_uri(cls, prediction_id: int) -> str: + return cls._uri(cls.prediction_removed_osm_key(prediction_id)) + + # --- local models --- + + @classmethod + def local_model_item_dir_key(cls, item_id: str) -> str: + return f"{cls.LOCAL_MODELS_ROOT}/{item_id}" + + @classmethod + def local_model_checkpoint_key(cls, item_id: str) -> str: + base = cls.local_model_item_dir_key(item_id) + return f"{base}/{cls.LOCAL_MODELS_CHECKPOINT_SUBDIR}/weights.pt" + + @classmethod + def local_model_onnx_key(cls, item_id: str) -> str: + base = cls.local_model_item_dir_key(item_id) + return f"{base}/{cls.LOCAL_MODELS_MODEL_SUBDIR}/model.onnx" + + @classmethod + def local_model_metrics_key(cls, item_id: str) -> str: + base = cls.local_model_item_dir_key(item_id) + return f"{base}/{cls.LOCAL_MODELS_METRICS_SUBDIR}/{item_id}.json" + + +class BackendLocalModelPaths(LocalModelStoragePaths): + ROOT = StoragePaths.LOCAL_MODELS_ROOT + CHECKPOINT_SUBDIR = StoragePaths.LOCAL_MODELS_CHECKPOINT_SUBDIR + MODEL_SUBDIR = StoragePaths.LOCAL_MODELS_MODEL_SUBDIR + METRICS_SUBDIR = StoragePaths.LOCAL_MODELS_METRICS_SUBDIR + + +class BackendDatasetPaths(DatasetStoragePaths): + ROOT = StoragePaths.DATASETS_ROOT + DOWNLOAD_SUBDIR = StoragePaths.DATASETS_DOWNLOAD_SUBDIR diff --git a/backend/shared/validators.py b/backend/shared/validators.py new file mode 100644 index 000000000..81a52c383 --- /dev/null +++ b/backend/shared/validators.py @@ -0,0 +1,119 @@ +import json + +from django.contrib.gis.geos import GEOSException, GEOSGeometry +from shapely.geometry import shape +from shapely.validation import make_valid + +from .exceptions import ( + GeometryValidationException, + ValidationException, + handle_geometry_error, + handle_validation_error, +) + + +def validate_geometry(geom_data): + if isinstance(geom_data, str): + try: + geom_data = json.loads(geom_data) + except json.JSONDecodeError as exc: + raise handle_geometry_error( + "Unknown", "Invalid JSON in geometry field", geom_data + ) from exc + + try: + if isinstance(geom_data, dict): + geos_geom = GEOSGeometry(json.dumps(geom_data)) + geom_type = geom_data.get("type", "Unknown") + else: + geos_geom = GEOSGeometry(geom_data) + geom_type = geos_geom.geom_type if hasattr(geos_geom, "geom_type") else "Unknown" + + if not geos_geom.valid: + try: + shapely_geom = shape( + geom_data if isinstance(geom_data, dict) else json.loads(str(geom_data)) + ) + fixed_geom = make_valid(shapely_geom) + geos_geom = GEOSGeometry(fixed_geom.wkt) + if not geos_geom.valid: + raise handle_geometry_error( + geom_type, "Geometry is invalid and cannot be repaired automatically" + ) + except Exception as repair_error: + raise handle_geometry_error( + geom_type, f"Geometry repair failed: {repair_error!s}" + ) from repair_error + + if geos_geom.srid != 4326: + geos_geom.srid = 4326 + return geos_geom + + except (GEOSException, ValueError, TypeError) as e: + geom_type = "Unknown" + if isinstance(geom_data, dict) and "type" in geom_data: + geom_type = geom_data["type"] + raise handle_geometry_error(geom_type, f"Invalid geometry format: {e!s}") from e + + +def validate_geojson(geojson_data): + if isinstance(geojson_data, str): + try: + geojson_data = json.loads(geojson_data) + except json.JSONDecodeError as exc: + raise handle_validation_error( + "geojson", "Invalid JSON in GeoJSON field", geojson_data + ) from exc + + if not isinstance(geojson_data, dict): + raise handle_validation_error( + "geojson", "GeoJSON must be a dictionary", type(geojson_data).__name__ + ) + + if "type" not in geojson_data: + raise handle_validation_error("geojson", "GeoJSON must have a 'type' field") + + geojson_type = geojson_data["type"] + if geojson_type == "FeatureCollection": + if "features" not in geojson_data: + raise handle_validation_error( + "geojson", "FeatureCollection must have a 'features' field" + ) + for i, feature in enumerate(geojson_data["features"]): + try: + _validate_feature(feature) + except (ValidationException, GeometryValidationException) as e: + e.details["feature_index"] = i + raise e + elif geojson_type == "Feature": + _validate_feature(geojson_data) + elif geojson_type in { + "Point", + "LineString", + "Polygon", + "MultiPoint", + "MultiLineString", + "MultiPolygon", + }: + validate_geometry(geojson_data) + else: + raise handle_validation_error( + "geojson", f"Unsupported GeoJSON type: {geojson_type}", geojson_type + ) + return geojson_data + + +def _validate_feature(feature): + if not isinstance(feature, dict): + raise handle_validation_error( + "geojson_feature", "Feature must be a dictionary", type(feature).__name__ + ) + if feature.get("type") != "Feature": + raise handle_validation_error( + "geojson_feature", "Feature must have type 'Feature'", feature.get("type") + ) + if "geometry" not in feature: + raise handle_validation_error("geojson_feature", "Feature must have a 'geometry' field") + if feature["geometry"] is not None: + validate_geometry(feature["geometry"]) + return feature diff --git a/backend/stars/__init__.py b/backend/stars/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/stars/apps.py b/backend/stars/apps.py new file mode 100644 index 000000000..774872e7b --- /dev/null +++ b/backend/stars/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class StarsConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "stars" diff --git a/backend/stars/migrations/0001_initial.py b/backend/stars/migrations/0001_initial.py new file mode 100644 index 000000000..6696c2b80 --- /dev/null +++ b/backend/stars/migrations/0001_initial.py @@ -0,0 +1,31 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='Star', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('stac_id', models.CharField(db_index=True, max_length=200)), + ('anon_key', models.CharField(blank=True, max_length=64)), + ('created_at', models.DateTimeField(auto_now_add=True)), + ('user', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='stars', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'indexes': [models.Index(fields=['stac_id'], name='stars_star_stac_id_f1d128_idx')], + 'constraints': [models.UniqueConstraint(condition=models.Q(('user__isnull', False)), fields=('stac_id', 'user'), name='unique_user_star'), models.UniqueConstraint(condition=models.Q(('user__isnull', True)), fields=('stac_id', 'anon_key'), name='unique_anon_star')], + }, + ), + ] diff --git a/backend/stars/migrations/0002_remove_star_unique_user_star_and_more.py b/backend/stars/migrations/0002_remove_star_unique_user_star_and_more.py new file mode 100644 index 000000000..6b7eedcc0 --- /dev/null +++ b/backend/stars/migrations/0002_remove_star_unique_user_star_and_more.py @@ -0,0 +1,44 @@ +# Generated by Django 6.0.4 on 2026-05-05 17:52 + +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('stars', '0001_initial'), + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.RemoveConstraint( + model_name='star', + name='unique_user_star', + ), + migrations.RemoveConstraint( + model_name='star', + name='unique_anon_star', + ), + migrations.RemoveIndex( + model_name='star', + name='stars_star_stac_id_f1d128_idx', + ), + migrations.RenameField( + model_name='star', + old_name='stac_id', + new_name='target_id', + ), + migrations.AddIndex( + model_name='star', + index=models.Index(fields=['target_id'], name='stars_star_target__4ee13b_idx'), + ), + migrations.AddConstraint( + model_name='star', + constraint=models.UniqueConstraint(condition=models.Q(('user__isnull', False)), fields=('target_id', 'user'), name='unique_user_star'), + ), + migrations.AddConstraint( + model_name='star', + constraint=models.UniqueConstraint(condition=models.Q(('user__isnull', True)), fields=('target_id', 'anon_key'), name='unique_anon_star'), + ), + ] diff --git a/backend/stars/migrations/__init__.py b/backend/stars/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/stars/models.py b/backend/stars/models.py new file mode 100644 index 000000000..5ddde20ca --- /dev/null +++ b/backend/stars/models.py @@ -0,0 +1,36 @@ +from django.db import models + +from accounts.models import OsmUser + + +class Star(models.Model): + # `target_id` is the family-level slug of the starred entity: + + target_id = models.CharField(max_length=200, db_index=True) + user = models.ForeignKey( + OsmUser, + to_field="osm_id", + on_delete=models.CASCADE, + related_name="stars", + null=True, + blank=True, + ) + anon_key = models.CharField(max_length=64, blank=True) + created_at = models.DateTimeField(auto_now_add=True) + + class Meta: + constraints = [ + models.UniqueConstraint( + fields=["target_id", "user"], + condition=models.Q(user__isnull=False), + name="unique_user_star", + ), + models.UniqueConstraint( + fields=["target_id", "anon_key"], + condition=models.Q(user__isnull=True), + name="unique_anon_star", + ), + ] + indexes = [ + models.Index(fields=["target_id"]), + ] diff --git a/backend/stars/urls.py b/backend/stars/urls.py new file mode 100644 index 000000000..249cd08c9 --- /dev/null +++ b/backend/stars/urls.py @@ -0,0 +1,7 @@ +from django.urls import path + +from .views import StarView + +urlpatterns = [ + path("stars/", StarView.as_view(), name="star"), +] diff --git a/backend/stars/views.py b/backend/stars/views.py new file mode 100644 index 000000000..e4082c0fb --- /dev/null +++ b/backend/stars/views.py @@ -0,0 +1,129 @@ +import hashlib + +from django.db import IntegrityError, transaction +from drf_spectacular.utils import OpenApiParameter, extend_schema +from rest_framework import serializers, status +from rest_framework.permissions import AllowAny +from rest_framework.response import Response +from rest_framework.views import APIView + +from accounts.authentication import OsmAuthentication + +from .models import Star + + +class StarStateResponse(serializers.Serializer): + target_id = serializers.CharField() + count = serializers.IntegerField() + starred = serializers.BooleanField() + + +class StarPostResponse(serializers.Serializer): + target_id = serializers.CharField() + starred = serializers.BooleanField() + count = serializers.IntegerField() + created = serializers.BooleanField() + + +class StarErrorResponse(serializers.Serializer): + detail = serializers.CharField() + + +_TARGET_ID_PARAM = OpenApiParameter("target_id", str, OpenApiParameter.QUERY, required=True) + + +def _anon_key(request) -> str: + """Stable per-client key for anonymous starring; not personally identifying.""" + ip = request.META.get("REMOTE_ADDR", "") + ua = request.META.get("HTTP_USER_AGENT", "") + return hashlib.sha256(f"{ip}|{ua}".encode()).hexdigest()[:64] + + +@extend_schema(tags=["stars"]) +class StarView(APIView): + # Anonymous starring is keyed on a non-identifying SHA hash of + # IP+UA so naive double-clicks dedupe without auth overhead. + + permission_classes = [AllowAny] + authentication_classes = [OsmAuthentication] + serializer_class = StarStateResponse + + def _target_id(self, request) -> str: + target_id = request.query_params.get("target_id", "").strip() + if not target_id: + raise ValueError("target_id query parameter is required") + return target_id + + def _identity(self, request) -> tuple[object | None, str]: + user = ( + request.user + if getattr(request, "user", None) and request.user.is_authenticated + else None + ) + anon = "" if user else _anon_key(request) + return user, anon + + @extend_schema( + parameters=[_TARGET_ID_PARAM], + responses={200: StarStateResponse, 400: StarErrorResponse}, + ) + def get(self, request) -> Response: + try: + target_id = self._target_id(request) + except ValueError as exc: + return Response({"detail": str(exc)}, status=status.HTTP_400_BAD_REQUEST) + + count = Star.objects.filter(target_id=target_id).count() + user, anon = self._identity(request) + if user is not None: + starred = Star.objects.filter(target_id=target_id, user=user).exists() + else: + starred = Star.objects.filter( + target_id=target_id, user__isnull=True, anon_key=anon + ).exists() + return Response({"target_id": target_id, "count": count, "starred": starred}) + + @extend_schema( + parameters=[_TARGET_ID_PARAM], + request=None, + responses={ + 200: StarPostResponse, + 201: StarPostResponse, + 400: StarErrorResponse, + }, + ) + def post(self, request) -> Response: + try: + target_id = self._target_id(request) + except ValueError as exc: + return Response({"detail": str(exc)}, status=status.HTTP_400_BAD_REQUEST) + + user, anon = self._identity(request) + try: + with transaction.atomic(): + Star.objects.create(target_id=target_id, user=user, anon_key=anon) + created = True + except IntegrityError: + created = False + count = Star.objects.filter(target_id=target_id).count() + return Response( + {"target_id": target_id, "starred": True, "count": count, "created": created}, + status=status.HTTP_201_CREATED if created else status.HTTP_200_OK, + ) + + @extend_schema( + parameters=[_TARGET_ID_PARAM], + responses={204: None, 400: StarErrorResponse}, + ) + def delete(self, request) -> Response: + try: + target_id = self._target_id(request) + except ValueError as exc: + return Response({"detail": str(exc)}, status=status.HTTP_400_BAD_REQUEST) + + user, anon = self._identity(request) + if user is not None: + Star.objects.filter(target_id=target_id, user=user).delete() + else: + Star.objects.filter(target_id=target_id, user__isnull=True, anon_key=anon).delete() + return Response(status=status.HTTP_204_NO_CONTENT) diff --git a/backend/system/__init__.py b/backend/system/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/system/apps.py b/backend/system/apps.py new file mode 100644 index 000000000..c281e7465 --- /dev/null +++ b/backend/system/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class SystemConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "system" diff --git a/backend/system/urls.py b/backend/system/urls.py new file mode 100644 index 000000000..94e8bae9c --- /dev/null +++ b/backend/system/urls.py @@ -0,0 +1,7 @@ +from django.urls import path + +from .views import health + +urlpatterns = [ + path("health/", health, name="health"), +] diff --git a/backend/system/views.py b/backend/system/views.py new file mode 100644 index 000000000..0c18af69a --- /dev/null +++ b/backend/system/views.py @@ -0,0 +1,138 @@ +import asyncio + +import httpx +from adrf.decorators import api_view +from asgiref.sync import sync_to_async +from botocore.exceptions import BotoCoreError, ClientError, NoCredentialsError +from django.conf import settings +from django.db import connections +from django.db.utils import OperationalError +from drf_spectacular.utils import extend_schema +from rest_framework import serializers +from rest_framework.decorators import throttle_classes +from rest_framework.response import Response + +from shared.integrations.stac import ( + BASE_MODELS_COLLECTION, + DATASETS_COLLECTION, + LOCAL_MODELS_COLLECTION, +) + +_PROBE_TIMEOUT = settings.HEALTH_PROBE_TIMEOUT + +_STAC_COLLECTIONS = [BASE_MODELS_COLLECTION, DATASETS_COLLECTION, LOCAL_MODELS_COLLECTION] + + +class _MapswipeProbeSerializer(serializers.Serializer): + url = serializers.URLField() + reachable = serializers.BooleanField() + + +class _StacCollectionsSerializer(serializers.Serializer): + base_models = serializers.BooleanField() + datasets = serializers.BooleanField() + local_models = serializers.BooleanField() + + +class HealthSerializer(serializers.Serializer): + postgresql = serializers.BooleanField() + s3 = serializers.BooleanField(required=False) + stac_api = serializers.BooleanField(required=False) + stac_collections = _StacCollectionsSerializer(required=False) + zenml = serializers.BooleanField(required=False) + mapswipe = _MapswipeProbeSerializer(required=False) + + +async def _probe_http(client: httpx.AsyncClient, url: str) -> bool: + try: + await client.get(url, follow_redirects=False) + except httpx.HTTPError: + return False + return True + + +async def _probe_http_ok(client: httpx.AsyncClient, url: str) -> bool: + """Returns True only on a 2xx response; False on any error or non-2xx status.""" + try: + r = await client.get(url, follow_redirects=True) + return r.is_success + except httpx.HTTPError: + return False + + +def _probe_postgres() -> bool: + try: + connections["default"].cursor() + except OperationalError: + return False + return True + + +def _probe_s3() -> bool: + if not settings.BUCKET_NAME: + return False + try: + settings.S3_CLIENT.head_bucket(Bucket=settings.BUCKET_NAME) + except (BotoCoreError, ClientError, NoCredentialsError): + return False + return True + + +@extend_schema( + tags=["system"], + responses=HealthSerializer, + auth=[], + description=( + "Liveness + reachability of every external dependency: postgresql, s3, " + "stac_api, stac_collections (per-collection 2xx check), zenml. " + "When ENABLE_MAPSWIPE=true the Mapswipe backend is probed too. " + "Each probe runs concurrently via httpx + asyncio.gather." + ), +) +@api_view(["GET"]) +@throttle_classes([]) +async def health(request) -> Response: + payload: dict[str, object] = {} + + async with httpx.AsyncClient(timeout=_PROBE_TIMEOUT) as client: + probes: dict[str, asyncio.Task] = { + "postgresql": asyncio.create_task(sync_to_async(_probe_postgres)()), + } + if settings.BUCKET_NAME: + probes["s3"] = asyncio.create_task(sync_to_async(_probe_s3)()) + if settings.FAIR_STAC_API_URL: + probes["stac_api"] = asyncio.create_task( + _probe_http(client, settings.FAIR_STAC_API_URL) + ) + for collection_id in _STAC_COLLECTIONS: + url = f"{settings.FAIR_STAC_API_URL}/collections/{collection_id}" + probes[f"stac_col_{collection_id}"] = asyncio.create_task( + _probe_http_ok(client, url) + ) + if settings.FAIR_ZENML_STORE_URL: + probes["zenml"] = asyncio.create_task( + _probe_http(client, settings.FAIR_ZENML_STORE_URL) + ) + mapswipe_url = settings.MAPSWIPE_BACKEND_URL if settings.ENABLE_MAPSWIPE else None + if mapswipe_url: + probes["mapswipe_reachable"] = asyncio.create_task(_probe_http(client, mapswipe_url)) + + results = await asyncio.gather(*probes.values()) + + for name, result in zip(probes.keys(), results, strict=True): + payload[name] = result + + if settings.FAIR_STAC_API_URL: + # Fold per-collection results into a nested dict, keyed by slug + # with hyphens replaced by underscores for JSON/schema consistency. + payload["stac_collections"] = { + col.replace("-", "_"): payload.pop(f"stac_col_{col}") for col in _STAC_COLLECTIONS + } + + if mapswipe_url: + payload["mapswipe"] = { + "url": mapswipe_url, + "reachable": payload.pop("mapswipe_reachable"), + } + + return Response(payload) diff --git a/backend/test.py b/backend/test.py deleted file mode 100644 index e6aa11fe6..000000000 --- a/backend/test.py +++ /dev/null @@ -1,23 +0,0 @@ -import os - -os.environ["OAUTHLIB_INSECURE_TRANSPORT"] = "1" -import os - -from osm_login_python.core import Auth - -# initialize osm_auth with our credentials -osm_auth = Auth( - osm_url="https://www.openstreetmap.org", - client_id="CZiN4--XgsFN4MWgJioJ6X5KDNadu_0Hy65XRsrdw7w", - client_secret="T2e0zp3J20loWjFAnpoek9Xzupx7yGwHu-BiY9z3SgY", - secret_key="my-awesome-secret-key", - login_redirect_uri="http://127.0.0.1:8000/api/v1/auth/callback/", - scope="read_prefs", -) - - -print(osm_auth.login()) -request_url = "http://127.0.0.1:8000/api/v1/auth/callback/?code=2mqXshByuTZSsICeQ_NXhwdim56o4ThoZ-cI4cONs8E&state=qJEEcqKi7YVsVhXavjgPGOAQb60CuD" -osm_auth.oauth._state = "qJEEcqKi7YVsVhXavjgPGOAQb60CuD" - -print(osm_auth.callback(request_url)) diff --git a/backend/tests/base.py b/backend/tests/base.py deleted file mode 100644 index 9a8563e14..000000000 --- a/backend/tests/base.py +++ /dev/null @@ -1,119 +0,0 @@ -import json -import os -from unittest.mock import patch, MagicMock -from rest_framework import status -from rest_framework.test import APILiveServerTestCase, APITestCase, RequestsClient -from rest_framework.test import APIClient -from rest_framework.exceptions import AuthenticationFailed -from .factories import ( - OsmUserFactory, - DatasetFactory, - AoiFactory, - ModelFactory, - LabelFactory, - TrainingFactory, -) - - -API_BASE = "http://testserver/api/v1" - -DEFAULT_HEADERS = { - "accept": "application/json", - "access-token": "test-token-123", -} - - -class BaseAPITestCase(APILiveServerTestCase): - """Base test case with common setup for API tests.""" - - @classmethod - def setUpClass(cls): - super().setUpClass() - cls.api_base = API_BASE - - def setUp(self): - self.client = RequestsClient() - self.headers = DEFAULT_HEADERS.copy() - self.json_headers = self.headers.copy() - self.json_headers["content-type"] = "application/json" - - self.user = OsmUserFactory() - self.dataset = DatasetFactory(user=self.user) - self.aoi = AoiFactory(dataset=self.dataset, user=self.user) - self.model = ModelFactory(dataset=self.dataset, user=self.user) - - def mock_authenticate(request): - access_token = request.META.get("HTTP_ACCESS_TOKEN") - if access_token == "test-token-123": - return (self.user, None) - return None - - self.auth_patcher = patch('login.authentication.OsmAuthentication.authenticate') - self.mock_auth = self.auth_patcher.start() - self.mock_auth.side_effect = mock_authenticate - - mock_celery_result = MagicMock() - mock_celery_result.state = 'SUCCESS' - mock_celery_result.info = {} - mock_celery_result.result = None - mock_celery_result.traceback = None - mock_celery_result.failed.return_value = False - - self.celery_patcher = patch('core.views.AsyncResult') - self.mock_celery = self.celery_patcher.start() - self.mock_celery.return_value = mock_celery_result - - self.cache_patcher = patch('core.views.cache') - self.mock_cache = self.cache_patcher.start() - self.mock_cache.get.return_value = None - - mock_predict_task = MagicMock() - mock_predict_task.id = 'test-prediction-task-id' - self.predict_patcher = patch('core.views.predict_area') - self.mock_predict = self.predict_patcher.start() - self.mock_predict.apply_async.return_value = mock_predict_task - - mock_train_task = MagicMock() - mock_train_task.id = 'test-training-task-id' - self.train_patcher = patch('core.tasks.train_model') - self.mock_train = self.train_patcher.start() - self.mock_train.apply_async.return_value = mock_train_task - - def tearDown(self): - self.train_patcher.stop() - self.predict_patcher.stop() - self.cache_patcher.stop() - self.celery_patcher.stop() - self.auth_patcher.stop() - super().tearDown() - - def post_json(self, url, data, headers=None, expect_status=None, method="POST"): - """Helper method for JSON POST requests.""" - headers = headers or self.json_headers - if method == "POST": - response = self.client.post(url, json.dumps(data), headers=headers) - elif method == "PATCH": - response = self.client.patch(url, json.dumps(data), headers=headers) - elif method == "PUT": - response = self.client.put(url, json.dumps(data), headers=headers) - else: - response = self.client.post(url, json.dumps(data), headers=headers) - if expect_status: - self.assertEqual(response.status_code, expect_status) - return response - - def get_api_url(self, endpoint): - """Helper to build API URLs.""" - return f"{self.api_base}/{endpoint.lstrip('/')}" - - -class SimpleAPITestCase(APITestCase): - """Base test case for simple API tests without live server.""" - - def setUp(self): - self.client = APIClient() - self.api_base = "/api" - - def get_api_url(self, endpoint): - """Helper to build API URLs.""" - return f"{self.api_base}/{endpoint.lstrip('/')}" \ No newline at end of file diff --git a/backend/tests/factories.py b/backend/tests/factories.py deleted file mode 100644 index 545418192..000000000 --- a/backend/tests/factories.py +++ /dev/null @@ -1,130 +0,0 @@ -import factory -from core.models import ( - AOI, - Dataset, - Label, - Model, - Training, -) -from django.contrib.gis.geos import Polygon -from login.models import OsmUser - - -class OsmUserFactory(factory.django.DjangoModelFactory): - class Meta: - model = OsmUser - - osm_id = factory.Sequence(lambda n: 123456 + n) - username = factory.Sequence(lambda n: f"testuser{n}") - - -class DatasetFactory(factory.django.DjangoModelFactory): - class Meta: - model = Dataset - - name = factory.Sequence(lambda n: f"Test dataset {n}") - source_imagery = "https://tiles.openaerialmap.org/5ac4fc6f26964b0010033112/0/5ac4fc6f26964b0010033113/{z}/{x}/{y}" - user = factory.SubFactory(OsmUserFactory) - - -class AoiFactory(factory.django.DjangoModelFactory): - class Meta: - model = AOI - - geom = Polygon( - ( - (32.588507094820351, 0.348666499011499), - (32.588517512656978, 0.348184682976698), - (32.588869114643053, 0.348171660921362), - (32.588840465592334, 0.348679521066151), - (32.588507094820351, 0.348666499011499), - ) - ) - dataset = factory.SubFactory(DatasetFactory) - - -class LabelFactory(factory.django.DjangoModelFactory): - class Meta: - model = Label - - aoi = factory.SubFactory(AoiFactory) - geom = Polygon( - ( - (32.588507094820351, 0.348666499011499), - (32.588517512656978, 0.348184682976698), - (32.588869114643053, 0.348171660921362), - (32.588840465592334, 0.348679521066151), - (32.588507094820351, 0.348666499011499), - ) - ) - - -class ModelFactory(factory.django.DjangoModelFactory): - class Meta: - model = Model - - dataset = factory.SubFactory(DatasetFactory) - name = factory.Sequence(lambda n: f"Test model {n}") - user = factory.SubFactory(OsmUserFactory) - - -class TrainingFactory(factory.django.DjangoModelFactory): - class Meta: - model = Training - - model = factory.SubFactory(ModelFactory) - description = factory.Sequence(lambda n: f"Test training {n}") - user = factory.SubFactory(OsmUserFactory) - epochs = 1 - zoom_level = [20, 21] - batch_size = 1 - - -class FeedbackFactory(factory.django.DjangoModelFactory): - class Meta: - model = "core.Feedback" - - training = factory.SubFactory(TrainingFactory) - user = factory.SubFactory(OsmUserFactory) - action = "ACCEPT" - geom = Polygon( - ( - (32.588507094820351, 0.348666499011499), - (32.588517512656978, 0.348184682976698), - (32.588869114643053, 0.348171660921362), - (32.588840465592334, 0.348679521066151), - (32.588507094820351, 0.348666499011499), - ) - ) - - -class PredictionFactory(factory.django.DjangoModelFactory): - class Meta: - model = "core.Prediction" - - user = factory.SubFactory(OsmUserFactory) - geom = Polygon( - ( - (32.588507094820351, 0.348666499011499), - (32.588517512656978, 0.348184682976698), - (32.588869114643053, 0.348171660921362), - (32.588840465592334, 0.348679521066151), - (32.588507094820351, 0.348666499011499), - ) - ) - config = { - "checkpoint": "test-checkpoint", - "zoom_level": 20, - "source": "https://tiles.openaerialmap.org/test/{z}/{x}/{y}" - } - - -class UserNotificationFactory(factory.django.DjangoModelFactory): - class Meta: - model = "core.UserNotification" - - user = factory.SubFactory(OsmUserFactory) - message = factory.Sequence(lambda n: f"Notification message {n}") - is_read = False - - diff --git a/backend/tests/test_API.py b/backend/tests/test_API.py deleted file mode 100644 index d5e58cde1..000000000 --- a/backend/tests/test_API.py +++ /dev/null @@ -1,120 +0,0 @@ -from unittest.mock import patch - -import pytest -import responses -from rest_framework.test import APIClient - -API_URL = "/api/v1" -ACCESS_TOKEN = "test-access-token" - - -@pytest.fixture -def client(): - c = APIClient() - c.credentials(HTTP_ACCESS_TOKEN=ACCESS_TOKEN) - return c - - -@patch("login.authentication.CustomTokenAuthentication.authenticate") -@responses.activate -def test_full_api_workflow(mock_auth, client): - class DummyUser: - is_authenticated = True - osm_id = 1 - username = "testuser" - - mock_auth.return_value = (DummyUser(), None) - responses.add( - responses.POST, - "https://tiles.openaerialmap.org/62dbd947dd564e0c8b63a91e/0/62dbd947dd564e0c8b63a91f/{z}/{x}/{y}.png", - body="", - status=200, - ) - dataset_payload = { - "name": "Building Detection Nepal", - "source_imagery": "https://tiles.openaerialmap.org/62dbd947dd564e0c8b63a91e/0/62dbd947dd564e0c8b63a91f/{z}/{x}/{y}.png", - "status": -1, - "offset": [0.0, 0.0], - } - dataset_resp = client.post(f"{API_URL}/datasets/", dataset_payload, format="json") - assert dataset_resp.status_code == 201 - dataset_id = dataset_resp.data["id"] - - aoi_payload = { - "dataset": dataset_id, - "geom": { - "type": "Polygon", - "coordinates": [ - [ - [85.3240, 27.7172], - [85.3250, 27.7172], - [85.3250, 27.7182], - [85.3240, 27.7182], - [85.3240, 27.7172], - ] - ], - }, - } - aoi_resp = client.post(f"{API_URL}/aois/", aoi_payload, format="json") - assert aoi_resp.status_code == 201 - aoi_id = aoi_resp.data["id"] - - osm_labels_resp = client.post( - f"{API_URL}/labels/fetch_osm/", {"aoi": aoi_id}, format="json" - ) - assert osm_labels_resp.status_code == 200 - - label_payload = { - "aoi": aoi_id, - "geom": { - "type": "Polygon", - "coordinates": [ - [ - [85.32405, 27.71725], - [85.32410, 27.71725], - [85.32410, 27.71730], - [85.32405, 27.71730], - [85.32405, 27.71725], - ] - ], - }, - "tags": {"building": "yes"}, - } - label_resp = client.post(f"{API_URL}/labels/", label_payload, format="json") - assert label_resp.status_code == 201 - label_id = label_resp.data["id"] - - model_payload = { - "dataset": dataset_id, - "name": "YOLOv8 Building Model v1", - "description": "Building detection model trained on Kathmandu imagery", - "base_model": "YOLO_V8_V1", - "status": -1, - } - model_resp = client.post(f"{API_URL}/models/", model_payload, format="json") - assert model_resp.status_code == 201 - model_id = model_resp.data["id"] - - training_payload = { - "model": model_id, - "description": "Training run with 50 epochs", - "epochs": 50, - "batch_size": 8, - "zoom_level": [19, 20], - } - training_resp = client.post( - f"{API_URL}/trainings/", training_payload, format="json" - ) - assert training_resp.status_code == 201 - training_id = training_resp.data["id"] - - # prediction_payload = { - # "bbox": [85.3240, 27.7172, 85.3250, 27.7182], - # "model_id": model_id, - # "zoom_level": 20, - # "confidence": 50, - # "source": "https://tiles.openaerialmap.org/62dbd947dd564e0c8b63a91e/0/62dbd947dd564e0c8b63a91f/{z}/{x}/{y}.png", - # } - # prediction_resp = client.post(f"{API_URL}/predictions/", prediction_payload, format="json") - # assert prediction_resp.status_code == 201 - # prediction_id = prediction_resp.data["id"] diff --git a/backend/tests/test_additional_endpoints.py b/backend/tests/test_additional_endpoints.py deleted file mode 100644 index 29e664655..000000000 --- a/backend/tests/test_additional_endpoints.py +++ /dev/null @@ -1,336 +0,0 @@ -import io -import json -from unittest.mock import MagicMock, patch - -from django.core.files.uploadedfile import SimpleUploadedFile -from rest_framework import status - -from .base import BaseAPITestCase -from .factories import TrainingFactory, PredictionFactory, UserNotificationFactory - - -class LabelUploadTest(BaseAPITestCase): - - def test_upload_no_file_provided(self): - res = self.client.post( - self.get_api_url(f"/label/upload/{self.aoi.id}/"), - {}, - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_upload_requires_authentication(self): - res = self.client.post( - self.get_api_url(f"/label/upload/{self.aoi.id}/"), - {} - ) - - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - -class OSMFetchTest(BaseAPITestCase): - - def test_fetch_osm_data(self): - with patch('core.views.async_task') as mock_async: - res = self.client.post( - self.get_api_url(f"/label/osm/fetch/{self.aoi.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_202_ACCEPTED) - self.assertIn('Processing', res.json()) - mock_async.assert_called_once() - - def test_fetch_osm_data_invalid_aoi(self): - res = self.client.post( - self.get_api_url("/label/osm/fetch/999999/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - - def test_fetch_osm_data_requires_authentication(self): - res = self.client.post( - self.get_api_url(f"/label/osm/fetch/{self.aoi.id}/") - ) - - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - -class TerminateTrainingTest(BaseAPITestCase): - - def test_terminate_running_training(self): - training = TrainingFactory( - model=self.model, - user=self.user, - task_id='test-task-id-123', - status='RUNNING' - ) - - mock_task = MagicMock() - mock_task.state = 'STARTED' - self.mock_celery.return_value = mock_task - - with patch('core.views.current_app') as mock_app: - res = self.client.post( - self.get_api_url(f"/training/terminate/{training.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertIn('cancelled', res.json()['detail'].lower()) - mock_app.control.revoke.assert_called_once_with('test-task-id-123', terminate=True) - - training.refresh_from_db() - self.assertEqual(training.status, 'FAILED') - - def test_terminate_training_no_task_id(self): - training = TrainingFactory( - model=self.model, - user=self.user, - task_id=None - ) - - res = self.client.post( - self.get_api_url(f"/training/terminate/{training.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - self.assertIn('No task', res.json()['detail']) - - def test_terminate_training_already_finished(self): - training = TrainingFactory( - model=self.model, - user=self.user, - task_id='test-task-id', - status='SUCCESS' - ) - - mock_task = MagicMock() - mock_task.state = 'SUCCESS' - self.mock_celery.return_value = mock_task - - res = self.client.post( - self.get_api_url(f"/training/terminate/{training.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - self.assertIn('cannot be cancelled', res.json()['detail']) - - def test_terminate_training_not_owned(self): - from .factories import OsmUserFactory - other_user = OsmUserFactory() - training = TrainingFactory( - model=self.model, - user=other_user, - task_id='test-task-id' - ) - - res = self.client.post( - self.get_api_url(f"/training/terminate/{training.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - - def test_terminate_training_not_found(self): - res = self.client.post( - self.get_api_url("/training/terminate/999999/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - - -class TerminatePredictionTest(BaseAPITestCase): - - def test_terminate_running_prediction(self): - prediction = PredictionFactory( - user=self.user, - task_id='test-pred-task-id', - status='RUNNING' - ) - - mock_task = MagicMock() - mock_task.state = 'STARTED' - self.mock_celery.return_value = mock_task - - with patch('core.views.current_app') as mock_app: - res = self.client.post( - self.get_api_url(f"/prediction/terminate/{prediction.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertIn('cancelled', res.json()['detail'].lower()) - mock_app.control.revoke.assert_called_once_with('test-pred-task-id', terminate=True) - - prediction.refresh_from_db() - self.assertEqual(prediction.status, 'FAILED') - - def test_terminate_prediction_no_task_id(self): - prediction = PredictionFactory( - user=self.user, - task_id=None - ) - - res = self.client.post( - self.get_api_url(f"/prediction/terminate/{prediction.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_terminate_prediction_not_owned(self): - from .factories import OsmUserFactory - other_user = OsmUserFactory() - prediction = PredictionFactory( - user=other_user, - task_id='test-task-id' - ) - - res = self.client.post( - self.get_api_url(f"/prediction/terminate/{prediction.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - - -class NotificationManagementTest(BaseAPITestCase): - - def test_mark_notification_as_read(self): - notification = UserNotificationFactory( - user=self.user, - is_read=False - ) - - res = self.client.post( - self.get_api_url(f"/notifications/mark-as-read/{notification.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertIn('marked as read', res.json()['detail']) - - notification.refresh_from_db() - self.assertTrue(notification.is_read) - self.assertIsNotNone(notification.read_at) - - def test_mark_already_read_notification(self): - notification = UserNotificationFactory( - user=self.user, - is_read=True - ) - - res = self.client.post( - self.get_api_url(f"/notifications/mark-as-read/{notification.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertIn('already marked', res.json()['detail']) - - def test_mark_notification_not_owned(self): - from .factories import OsmUserFactory - other_user = OsmUserFactory() - notification = UserNotificationFactory( - user=other_user, - is_read=False - ) - - res = self.client.post( - self.get_api_url(f"/notifications/mark-as-read/{notification.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - - def test_mark_all_notifications_as_read(self): - UserNotificationFactory(user=self.user, is_read=False) - UserNotificationFactory(user=self.user, is_read=False) - UserNotificationFactory(user=self.user, is_read=False) - - res = self.client.post( - self.get_api_url("/notifications/mark-all-as-read/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertIn('All unread', res.json()['detail']) - - from core.models import UserNotification - unread_count = UserNotification.objects.filter( - user=self.user, - is_read=False - ).count() - self.assertEqual(unread_count, 0) - - def test_mark_all_when_no_unread_notifications(self): - res = self.client.post( - self.get_api_url("/notifications/mark-all-as-read/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - self.assertIn('No unread', res.json()['detail']) - - -class WorkspaceViewTest(BaseAPITestCase): - - def test_workspace_endpoints_exist(self): - res_workspace = self.client.get( - self.get_api_url("/workspace/dataset_1/"), - headers=self.headers - ) - self.assertIn(res_workspace.status_code, [200, 500]) - - res_download = self.client.get( - self.get_api_url("/workspace/download/dataset_1/file.zip"), - headers=self.headers - ) - self.assertIn(res_download.status_code, [200, 404, 500]) - - -class UtilityEndpointTest(BaseAPITestCase): - - def test_users_list_view_requires_admin(self): - res = self.client.get( - self.get_api_url("/users/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - def test_model_centroid_view(self): - res = self.client.get( - self.get_api_url("/models/centroid/") - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_dataset_centroid_view(self): - res = self.client.get( - self.get_api_url("/datasets/centroid/") - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_gpx_view(self): - res = self.client.get( - self.get_api_url(f"/aoi/gpx/{self.aoi.id}/") - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.headers['Content-Type'], 'application/xml') - - def test_conflate_endpoint_exists(self): - res = self.client.post( - self.get_api_url("/conflate/"), - headers=self.headers - ) - - self.assertIn(res.status_code, [200, 400, 403, 500]) diff --git a/backend/tests/test_api.py b/backend/tests/test_api.py new file mode 100644 index 000000000..675cfbbb0 --- /dev/null +++ b/backend/tests/test_api.py @@ -0,0 +1,1308 @@ +"""End-to-end API contract test. + +One file that hits every URL in the public API surface, demonstrating the +expected request payload and the response body for each endpoint. External +integrations (ZenML, fair-py-ops, S3) are mocked at the seam, so no test +reaches a live service. + +Run with `just test` (pytest tests/test_api.py). +""" + +from datetime import datetime +from unittest.mock import MagicMock, patch + +import pytest +from django.contrib.gis.geos import Polygon +from django.test import override_settings +from rest_framework.test import APIClient + +from accounts.models import OsmUser +from shared.storage import BackendLocalModelPaths +from datasets.models import AOI, Dataset +from feedback.models import Feedback +from modelregistry.models import LocalModel +from notifications.models import Banner, UserNotification +from predictions.models import Prediction +from trainings.models import TrainingRunRef + + +@pytest.fixture +def user(db) -> OsmUser: + return OsmUser.objects.create(osm_id=1001, username="alice") + + +@pytest.fixture +def admin_user(db) -> OsmUser: + return OsmUser.objects.create(osm_id=1002, username="root", is_staff=True) + + +@pytest.fixture +def other_user(db) -> OsmUser: + return OsmUser.objects.create(osm_id=1003, username="eve") + + +@pytest.fixture +def client(user: OsmUser) -> APIClient: + api = APIClient() + api.force_authenticate(user=user) + return api + + +@pytest.fixture +def admin_client(admin_user: OsmUser) -> APIClient: + api = APIClient() + api.force_authenticate(user=admin_user) + return api + + +@pytest.fixture +def anon_client() -> APIClient: + return APIClient() + + +@pytest.fixture +def aoi(db, user: OsmUser) -> AOI: + polygon = Polygon( + ((85.5, 27.6), (85.5, 27.61), (85.51, 27.61), (85.51, 27.6), (85.5, 27.6)), + srid=4326, + ) + return AOI.objects.create(geom=polygon, user=user) + + +@pytest.fixture +def local_model(db, user: OsmUser) -> LocalModel: + return LocalModel.objects.create( + name="my-finetuned", + status=LocalModel.Status.DRAFT, + user=user, + ) + + +@pytest.fixture +def published_dataset(db, user: OsmUser) -> Dataset: + return Dataset.objects.create( + stac_id="ds-banepa", + title="Banepa buildings", + source_imagery="https://tiles.example/{z}/{x}/{y}.png", + build_status=Dataset.BuildStatus.PUBLISHED, + user=user, + ) + + +@pytest.fixture +def training_ref( + db, user: OsmUser, local_model: LocalModel, published_dataset: Dataset +) -> TrainingRunRef: + return TrainingRunRef.objects.create( + zenml_run_id="run-abc", + local_model=local_model, + base_model_stac_id="unet-segmentation", + dataset=published_dataset, + overrides={"epochs": 3}, + description="t1", + user=user, + ) + + +@pytest.fixture +def prediction(db, user: OsmUser) -> Prediction: + return Prediction.objects.create( + zenml_run_id="pred-run-1", + local_model_stac_id="3a0374bf-d73c-4b4d-b165-081ffa2a18ad", + image_uri="https://tiles.example/{z}/{x}/{y}.png", + bbox=[85.5, 27.6, 85.51, 27.61], + zoom=19, + params={}, + description="p1", + status="completed", + results_ready=True, + user=user, + ) + + +def test_root_home_describes_api(anon_client): + response = anon_client.get("/api/") + assert response.status_code == 200 + body = response.json() + assert body["name"] == "fAIr API" + assert body["api_version"] == "v1" + assert body["app_version"] # sourced from pyproject.toml + assert body["schema"] == "/api/schema/" + assert body["docs"] == "/api/docs/" + + +def test_openapi_schema_is_served(anon_client): + response = anon_client.get("/api/schema/") + assert response.status_code == 200 + assert b"openapi" in response.content + + +def test_swagger_ui_renders(anon_client): + response = anon_client.get("/api/docs/") + assert response.status_code == 200 + + +def test_redoc_ui_renders(anon_client): + response = anon_client.get("/api/redoc/") + assert response.status_code == 200 + + +def test_health_reports_dependency_status(anon_client, db): + response = anon_client.get("/api/v1/health/") + assert response.status_code == 200 + body = response.json() + assert isinstance(body["postgresql"], bool) + assert body["postgresql"] is True + + +def test_auth_status_returns_provider_and_authenticated_flag(anon_client, db): + response = anon_client.get("/api/v1/auth/status/") + assert response.status_code == 200 + body = response.json() + assert body["auth_provider"] in ("dev", "hanko") + assert body["authenticated"] is False + + +def test_auth_me_get_returns_user_profile(client, user): + response = client.get("/api/v1/auth/me/") + assert response.status_code == 201 + body = response.json() + assert body["osm_id"] == user.osm_id + assert body["username"] == "alice" + assert body["email_verified"] is False + + +def test_auth_me_patch_updates_email(client): + response = client.patch( + "/api/v1/auth/me/", data={"email": "alice@example.com"}, format="json" + ) + assert response.status_code == 200 + assert response.json()["email"] == "alice@example.com" + + +def test_auth_me_request_email_verification_400s_without_email(client): + response = client.post("/api/v1/auth/me/request-email-verification/") + assert response.status_code == 400 + assert response.json()["message"] == "Email address not found" + + +def test_auth_me_requires_authentication(anon_client): + response = anon_client.get("/api/v1/auth/me/") + assert response.status_code in (401, 403) + + +def test_aoi_create_returns_geojson_feature(client): + payload = { + "type": "Feature", + "geometry": { + "type": "Polygon", + "coordinates": [[[0, 0], [0, 0.01], [0.01, 0.01], [0.01, 0], [0, 0]]], + }, + "properties": {}, + } + response = client.post("/api/v1/aois/", data=payload, format="json") + assert response.status_code == 201, response.content + body = response.json() + assert body["type"] == "Feature" + assert body["geometry"]["type"] == "Polygon" + assert body["properties"]["user"]["username"] == "alice" + + +def test_aoi_list_paginates(client, aoi): + response = client.get("/api/v1/aois/") + assert response.status_code == 200 + body = response.json() + assert body["count"] == 1 + assert body["results"]["type"] == "FeatureCollection" + assert body["results"]["features"][0]["properties"]["id"] == aoi.id + + +def test_aoi_retrieve_returns_single_feature(client, aoi): + response = client.get(f"/api/v1/aois/{aoi.id}/") + assert response.status_code == 200 + body = response.json() + assert body["type"] == "Feature" + assert body["properties"]["id"] == aoi.id + + +def test_aoi_gpx_export_returns_xml(client, aoi): + response = client.get(f"/api/v1/aois/gpx/{aoi.id}/") + assert response.status_code == 200 + assert response["Content-Type"] == "application/xml" + assert b" chain picks up TrainingRunRef.title.""" + training_ref.status = "completed" + training_ref.title = "Captured at submit time" + training_ref.save(update_fields=["status", "title"]) + mock_for_user.return_value.promote.return_value = "lm-1" + response = client.post( + f"/api/v1/trainings/{training_ref.id}/publish/", + data={"description": "ready"}, + format="json", + ) + assert response.status_code == 201 + kwargs = mock_for_user.return_value.promote.call_args.kwargs + assert kwargs["title"] == "Captured at submit time" + + +@patch("trainings.views.for_user") +def test_training_publish_passes_run_ref_keywords(mock_for_user, client, training_ref): + """Keywords captured at submit -> passed to client.promote at publish.""" + training_ref.status = "completed" + training_ref.keywords = ["high-resolution", "march-batch"] + training_ref.save(update_fields=["status", "keywords"]) + mock_for_user.return_value.promote.return_value = "lm-1" + response = client.post( + f"/api/v1/trainings/{training_ref.id}/publish/", + data={}, + format="json", + ) + assert response.status_code == 201 + kwargs = mock_for_user.return_value.promote.call_args.kwargs + assert kwargs["keywords"] == ["high-resolution", "march-batch"] + + +@patch("trainings.views.for_user") +def test_training_publish_409s_when_run_not_completed(mock_for_user, client, training_ref): + response = client.post( + f"/api/v1/trainings/{training_ref.id}/publish/", + data={"description": "ready"}, + format="json", + ) + assert response.status_code == 409 + mock_for_user.assert_not_called() + + +@patch("predictions.views.item_exists", return_value=True) +@patch("predictions.views.submit_prediction") +def test_prediction_submit_creates_record_and_enqueues(mock_task, mock_item_exists, client): + payload = { + "model_stac_id": "3a0374bf-d73c-4b4d-b165-081ffa2a18ad", + "image_uri": "https://tiles.example/{z}/{x}/{y}.png", + "bbox": [85.5, 27.6, 85.51, 27.61], + "zoom": 19, + "params": {"confidence_threshold": 0.5}, + "remove_osm": True, + "description": "Banepa demo", + } + response = client.post("/api/v1/predictions/submit/", data=payload, format="json") + assert response.status_code == 202, response.content + body = response.json() + assert body["local_model_stac_id"] == payload["model_stac_id"] + assert body["bbox"] == payload["bbox"] + assert body["zoom"] == 19 + assert body["remove_osm"] is True + assert body["status"] == "initializing" + assert body["is_public"] is False + # Pre-completion: assets are None (no files in S3 yet). + assert body["assets"] is None + mock_task.enqueue.assert_called_once() + mock_item_exists.assert_called_once_with( + "local-models", "3a0374bf-d73c-4b4d-b165-081ffa2a18ad" + ) + + +def test_storage_paths_are_deterministic_and_round_trip(settings): + from shared.storage import StoragePaths + + settings.BUCKET_NAME = "fair-bucket" + assert StoragePaths.dataset_chips_dir_key("ds-1") == "datasets/ds-1/chips" + assert StoragePaths.dataset_labels_geojson_key("ds-1") == "datasets/ds-1/labels/labels.geojson" + assert StoragePaths.prediction_geojson_key(7) == "predict/7/output/predictions.geojson" + assert StoragePaths.prediction_pmtiles_uri(7) == "s3://fair-bucket/predict/7/output/predictions.pmtiles" + # uri = s3:// + bucket + key (so callers stay consistent across both forms) + assert StoragePaths.dataset_chips_dir_uri("ds-1") == "s3://fair-bucket/datasets/ds-1/chips" + + +def test_prediction_assets_populated_when_completed(client, prediction): + # Default fixture already has status="completed". + response = client.get(f"/api/v1/predictions/{prediction.id}/") + assert response.status_code == 200 + assets = response.json()["assets"] + assert assets is not None + assert "predictions.geojson" in assets["geojson"] + assert "predictions.fgb" in assets["fgb"] + assert "predictions.pmtiles" in assets["pmtiles"] + + +def test_prediction_assets_are_none_when_outputs_not_ready(client, prediction): + # Pipeline can be "completed" before post-process has actually written + # outputs; assets must stay None until results_ready flips so consumers + # never see presigned URLs that resolve to missing S3 objects. + prediction.results_ready = False + prediction.save(update_fields=["results_ready"]) + response = client.get(f"/api/v1/predictions/{prediction.id}/") + assert response.status_code == 200 + assert response.json()["assets"] is None + + +def test_dataset_assets_populated_when_published(client, published_dataset): + response = client.get(f"/api/v1/datasets/{published_dataset.id}/") + assert response.status_code == 200 + assets = response.json()["assets"] + assert assets is not None + assert "datasets/ds-banepa/chips" in assets["chips"] + assert "datasets/ds-banepa/labels/labels.geojson" in assets["labels"] + + +def test_dataset_assets_are_none_when_not_published(client, aoi, db): + from datasets.models import Dataset + + draft = Dataset.objects.create( + stac_id="ds-draft", + title="Drafty", + source_imagery="https://tiles.example/{z}/{x}/{y}.png", + build_status=Dataset.BuildStatus.BUILDING, + user=aoi.user, + ) + response = client.get(f"/api/v1/datasets/{draft.id}/") + assert response.status_code == 200 + assert response.json()["assets"] is None + + +@patch("predictions.views.item_exists", return_value=False) +def test_prediction_submit_404s_when_model_missing_in_stac(mock_item_exists, client): + response = client.post( + "/api/v1/predictions/submit/", + data={ + "model_stac_id": "ghost-model", + "image_uri": "https://tiles.example/{z}/{x}/{y}.png", + "bbox": [85.5, 27.6, 85.51, 27.61], + "zoom": 19, + }, + format="json", + ) + assert response.status_code == 404 + + +def test_prediction_submit_rejects_inverted_bbox(client): + response = client.post( + "/api/v1/predictions/submit/", + data={ + "model_stac_id": "3a0374bf-d73c-4b4d-b165-081ffa2a18ad", + "image_uri": "https://tiles.example/{z}/{x}/{y}.png", + "bbox": [85.51, 27.61, 85.5, 27.6], + "zoom": 19, + }, + format="json", + ) + assert response.status_code == 400 + + +def test_prediction_list_paginates(client, prediction): + response = client.get("/api/v1/predictions/") + assert response.status_code == 200 + body = response.json() + assert body["count"] == 1 + assert body["results"][0]["zenml_run_id"] == "pred-run-1" + + +def test_prediction_retrieve_returns_record(client, prediction): + response = client.get(f"/api/v1/predictions/{prediction.id}/") + assert response.status_code == 200 + body = response.json() + assert body["zenml_run_id"] == "pred-run-1" + assert body["status"] == "completed" + assert body["bbox"] == [85.5, 27.6, 85.51, 27.61] + + +@patch("predictions.views.get_run_status") +def test_prediction_run_status_polls_zenml(mock_status, client, prediction): + mock_status.return_value = "completed" + response = client.get("/api/v1/predictions/runs/pred-run-1/status/") + assert response.status_code == 200 + assert response.json() == { + "run_id": "pred-run-1", + "status": "completed", + "is_terminal": True, + } + + +@patch("predictions.views.fetch_run_logs") +def test_prediction_run_logs_default_returns_run_level(mock_fetch, client, prediction): + mock_fetch.return_value = [] + response = client.get("/api/v1/predictions/runs/pred-run-1/logs/") + assert response.status_code == 200 + assert response.json() == [] + mock_fetch.assert_called_once_with("pred-run-1", tail=1000) + + +@patch("zenml.utils.run_utils.stop_run") +@patch("zenml.client.Client") +def test_prediction_run_cancel_stops_zenml_run( + mock_client_cls, mock_stop, client, prediction +): + mock_client_cls.return_value.get_pipeline_run.return_value = MagicMock() + response = client.post("/api/v1/predictions/runs/pred-run-1/cancel/") + assert response.status_code == 200 + assert response.json()["status"] == "stopping" + mock_stop.assert_called_once() + + +def test_prediction_run_status_403s_for_non_owner(other_user, prediction): + other = APIClient() + other.force_authenticate(user=other_user) + response = other.get(f"/api/v1/predictions/runs/{prediction.zenml_run_id}/status/") + assert response.status_code == 403 + + +def test_prediction_run_status_404s_for_unknown_run(client): + response = client.get("/api/v1/predictions/runs/no-such-run/status/") + assert response.status_code == 404 + + +def test_prediction_publish_makes_record_public(client, prediction): + response = client.post(f"/api/v1/predictions/{prediction.id}/publish/") + assert response.status_code == 200 + assert response.json()["is_public"] is True + + +def test_prediction_unpublish_makes_record_private(client, prediction): + prediction.is_public = True + prediction.save(update_fields=["is_public"]) + response = client.post(f"/api/v1/predictions/{prediction.id}/unpublish/") + assert response.status_code == 200 + assert response.json()["is_public"] is False + + +def test_prediction_publish_rejects_non_owner(other_user, prediction): + other_client = APIClient() + other_client.force_authenticate(user=other_user) + response = other_client.post(f"/api/v1/predictions/{prediction.id}/publish/") + assert response.status_code == 403 + + +def test_public_prediction_endpoint_returns_published_record(anon_client, prediction): + prediction.is_public = True + prediction.save(update_fields=["is_public"]) + response = anon_client.get(f"/api/v1/public-predictions/{prediction.id}/") + assert response.status_code == 200 + assert response.json()["is_public"] is True + + +def test_public_prediction_endpoint_404s_for_private_record(anon_client, prediction): + response = anon_client.get(f"/api/v1/public-predictions/{prediction.id}/") + assert response.status_code == 404 + + +@override_settings(ENABLE_MAPSWIPE=False) +def test_prediction_mapswipe_returns_503_when_feature_disabled(client, prediction): + response = client.post( + f"/api/v1/predictions/{prediction.id}/mapswipe/", + data={ + "topic": "Buildings Banepa", + "region": "Banepa", + "description": "Validate predicted buildings", + "instruction": "Tap each building you see", + "look_for": "buildings", + "project_number": 1, + }, + format="json", + ) + assert response.status_code == 503 + assert "disabled" in response.json()["detail"].lower() + + +def test_feedback_create_returns_geojson_feature(client): + payload = { + "type": "Feature", + "geometry": { + "type": "Polygon", + "coordinates": [[[0, 0], [0, 0.01], [0.01, 0.01], [0.01, 0], [0, 0]]], + }, + "properties": { + "stac_id": "model-xyz", + "action": "accept", + "comments": "looks good", + "config": {}, + }, + } + response = client.post("/api/v1/feedback/", data=payload, format="json") + assert response.status_code == 201, response.content + body = response.json() + assert body["type"] == "Feature" + assert body["properties"]["stac_id"] == "model-xyz" + assert body["properties"]["action"] == "accept" + assert body["properties"]["user"]["username"] == "alice" + assert Feedback.objects.count() == 1 + + +def test_feedback_list_paginates(client, user): + Feedback.objects.create( + stac_id="model-xyz", + geom=Polygon(((0, 0), (0, 1), (1, 1), (1, 0), (0, 0)), srid=4326), + action="accept", + user=user, + ) + response = client.get("/api/v1/feedback/") + assert response.status_code == 200 + body = response.json() + assert body["count"] == 1 + assert body["results"]["type"] == "FeatureCollection" + assert body["results"]["features"][0]["properties"]["stac_id"] == "model-xyz" + + +def test_banner_create_returns_record(client): + response = client.post( + "/api/v1/banners/", + data={"message": "hello mappers", "start_date": "2026-01-01T00:00:00Z"}, + format="json", + ) + assert response.status_code == 201, response.content + body = response.json() + assert body["message"] == "hello mappers" + assert body["is_displayable"] is True + + +def test_banner_list_returns_active_banners(client, db): + Banner.objects.create(message="hello mappers") + response = client.get("/api/v1/banners/") + assert response.status_code == 200 + body = response.json() + assert body["count"] == 1 + assert body["results"][0]["message"] == "hello mappers" + + +def test_banner_retrieve_returns_record(client, db): + banner = Banner.objects.create(message="hello mappers") + response = client.get(f"/api/v1/banners/{banner.id}/") + assert response.status_code == 200 + assert response.json()["message"] == "hello mappers" + + +def test_notifications_list_returns_user_notifications(client, user): + UserNotification.objects.create(user=user, message="dataset built") + UserNotification.objects.create(user=user, message="training done") + response = client.get("/api/v1/notifications/me/") + assert response.status_code == 200 + body = response.json() + assert body["count"] == 2 + assert body["results"][0]["is_read"] is False + + +def test_notifications_mark_read_flips_flag(client, user): + notification = UserNotification.objects.create(user=user, message="dataset built") + response = client.post(f"/api/v1/notifications/me/{notification.id}/mark-read/") + assert response.status_code == 200 + assert response.json()["is_read"] is True + + +def test_notifications_mark_all_read_clears_unread(client, user): + UserNotification.objects.create(user=user, message="one") + UserNotification.objects.create(user=user, message="two") + response = client.post("/api/v1/notifications/me/mark-all-read/") + assert response.status_code == 200 + assert response.json() == {"detail": "ok"} + assert UserNotification.objects.filter(user=user, is_read=False).count() == 0 + + +@patch("django.conf.settings.S3_CLIENT") +def test_workspace_listing_returns_folders_and_files(mock_s3, client): + mock_s3.list_objects_v2.return_value = { + "CommonPrefixes": [{"Prefix": "predict/1/"}], + "Contents": [ + { + "Key": "predict/1/output/predictions.geojson", + "Size": 1024, + "LastModified": datetime(2026, 5, 3), + } + ], + } + response = client.get("/api/v1/workspace/?prefix=predict/") + assert response.status_code == 200 + body = response.json() + assert body["folders"] == [{"name": "1", "prefix": "predict/1/"}] + assert body["files"][0]["key"] == "predict/1/output/predictions.geojson" + assert body["files"][0]["size"] == 1024 + + +@patch("django.conf.settings.S3_CLIENT") +def test_workspace_presigned_url_signs_object(mock_s3, client): + mock_s3.generate_presigned_url.return_value = "https://signed.example/object" + response = client.get( + "/api/v1/workspace/url/?key=predict/1/output/predictions.geojson" + ) + assert response.status_code == 200 + body = response.json() + assert body["url"] == "https://signed.example/object" + assert body["expires_in"] == 900 + + +def test_workspace_presigned_url_400s_without_key(client): + response = client.get("/api/v1/workspace/url/") + assert response.status_code == 400 + + +def test_stars_get_for_unstarred_item(client): + response = client.get("/api/v1/stars/?target_id=model-abc") + assert response.status_code == 200 + assert response.json() == {"target_id": "model-abc", "count": 0, "starred": False} + + +def test_stars_post_creates_star(client): + response = client.post("/api/v1/stars/?target_id=model-abc") + assert response.status_code == 201 + assert response.json() == { + "target_id": "model-abc", + "starred": True, + "count": 1, + "created": True, + } + + +def test_stars_post_is_idempotent(client): + client.post("/api/v1/stars/?target_id=model-abc") + response = client.post("/api/v1/stars/?target_id=model-abc") + assert response.status_code == 200 + assert response.json()["created"] is False + + +def test_stars_delete_removes_star(client): + client.post("/api/v1/stars/?target_id=model-abc") + response = client.delete("/api/v1/stars/?target_id=model-abc") + assert response.status_code == 204 + + +def test_stars_anonymous_can_star(anon_client, db): + create_response = anon_client.post("/api/v1/stars/?target_id=model-anon") + assert create_response.status_code == 201 + state_response = anon_client.get("/api/v1/stars/?target_id=model-anon") + assert state_response.json()["starred"] is True + + +def test_stars_400s_without_target_id(client): + response = client.get("/api/v1/stars/") + assert response.status_code == 400 + + +# --------------------------------------------------------------------------- +# sync_prediction_status: post-run is gated by results_ready, not status, +# so a manual /run_status/ that flips status to "completed" cannot +# bypass post-process. The poller re-runs post_process_prediction until +# results_ready is True, even if status is already terminal. +# --------------------------------------------------------------------------- + + +@patch("predictions.tasks.post_process_prediction") +@patch("predictions.tasks.get_run_status") +def test_sync_prediction_runs_post_process_when_status_jumps_to_completed( + mock_get_status, mock_post_run, db, user +): + from predictions.tasks import sync_prediction_status + + # Simulates a prior manual /run_status/ call having set status to + # "completed" before the poller saw the run finish. Without the + # results_ready guard the poller used to early-return on is_terminal and + # skip post_run forever. + p = Prediction.objects.create( + zenml_run_id="rid-1", + local_model_stac_id="m-uuid", + image_uri="https://t/{z}/{x}/{y}.png", + bbox=[0, 0, 1, 1], + zoom=19, + status="completed", + results_ready=False, + user=user, + ) + mock_get_status.return_value = "completed" + + sync_prediction_status.func(prediction_id=p.id) + + mock_post_run.assert_called_once() + p.refresh_from_db() + assert p.results_ready is True + + +@patch("predictions.tasks.post_process_prediction") +@patch("predictions.tasks.get_run_status") +def test_sync_prediction_skips_post_process_when_already_ready( + mock_get_status, mock_post_run, db, user +): + from predictions.tasks import sync_prediction_status + + p = Prediction.objects.create( + zenml_run_id="rid-2", + local_model_stac_id="m-uuid", + image_uri="https://t/{z}/{x}/{y}.png", + bbox=[0, 0, 1, 1], + zoom=19, + status="completed", + results_ready=True, + user=user, + ) + + sync_prediction_status.func(prediction_id=p.id) + + mock_post_run.assert_not_called() + mock_get_status.assert_not_called() diff --git a/backend/tests/test_dataset_endpoints.py b/backend/tests/test_dataset_endpoints.py new file mode 100644 index 000000000..d42f03d85 --- /dev/null +++ b/backend/tests/test_dataset_endpoints.py @@ -0,0 +1,133 @@ +from unittest.mock import patch + +import pytest +from django.contrib.gis.geos import Polygon +from rest_framework.test import APIClient + +from datasets.models import AOI, Dataset +from accounts.models import OsmUser + + +@pytest.fixture +def authed_user(db) -> OsmUser: + return OsmUser.objects.create(osm_id=42, username="alice") + + +@pytest.fixture +def client(authed_user: OsmUser) -> APIClient: + api = APIClient() + api.force_authenticate(user=authed_user) + return api + + +@pytest.fixture +def aoi(db, authed_user: OsmUser) -> AOI: + placeholder = Dataset.objects.create( + stac_id="placeholder", + title="placeholder", + source_imagery="https://tiles.example/{z}/{x}/{y}.png", + user=authed_user, + ) + polygon = Polygon(((0, 0), (0, 1), (1, 1), (1, 0), (0, 0)), srid=4326) + return AOI.objects.create(dataset=placeholder, geom=polygon, user=authed_user) + + +def test_dataset_list_returns_owned_records(client, authed_user): + Dataset.objects.create( + stac_id="ds-1", + title="Test 1", + source_imagery="https://tiles.example/{z}/{x}/{y}.png", + user=authed_user, + ) + response = client.get("/api/v1/datasets/") + assert response.status_code == 200 + payload = response.json() + assert payload["count"] == 1 + assert payload["results"][0]["stac_id"] == "ds-1" + + +def test_dataset_build_validates_tms_url(client, aoi): + response = client.post( + "/api/v1/datasets/build/", + data={ + "title": "My dataset", + "description": "demo", + "source_imagery": "https://tiles.example/static.png", + "aoi_ids": [aoi.id], + "label_tasks": ["semantic-segmentation"], + "label_classes": [{"name": "building"}], + "keywords": ["buildings"], + }, + format="json", + ) + assert response.status_code == 400 + assert "source_imagery" in response.json()["error"]["details"] + + +def test_dataset_build_rejects_label_class_without_name(client, aoi): + response = client.post( + "/api/v1/datasets/build/", + data={ + "title": "My dataset", + "description": "demo", + "source_imagery": "https://tiles.example/{z}/{x}/{y}.png", + "zoom": 19, + "aoi_ids": [aoi.id], + "label_tasks": ["semantic-segmentation"], + "label_classes": [{}], + "keywords": ["buildings"], + }, + format="json", + ) + assert response.status_code == 400 + + +def test_dataset_build_rejects_unknown_aoi(client): + response = client.post( + "/api/v1/datasets/build/", + data={ + "title": "My dataset", + "description": "demo", + "source_imagery": "https://tiles.example/{z}/{x}/{y}.png", + "zoom": 19, + "aoi_ids": [99999], + "label_tasks": ["semantic-segmentation"], + "label_classes": [{"name": "building", "classes": ["yes"]}], + "keywords": ["buildings"], + "geometry_type": "polygon", + }, + format="json", + ) + assert response.status_code == 404 + + +@patch("datasets.views.build_dataset") +def test_dataset_build_enqueues_task_and_returns_202(mock_task, client, aoi): + response = client.post( + "/api/v1/datasets/build/", + data={ + "title": "Buildings Banepa", + "description": "demo", + "source_imagery": "https://tiles.example/{z}/{x}/{y}.png", + "zoom": 19, + "aoi_ids": [aoi.id], + "label_tasks": ["semantic-segmentation"], + "label_classes": [{"name": "building", "classes": ["yes"], "color": "#ff0000"}], + "keywords": ["buildings"], + "label_type": "vector", + "geometry_type": "polygon", + }, + format="json", + ) + assert response.status_code == 202 + body = response.json() + assert body["build_status"] == "building" + assert body["title"] == "Buildings Banepa" + mock_task.enqueue.assert_called_once() + assert Dataset.objects.filter(title="Buildings Banepa").count() == 1 + + +def test_unauthenticated_dataset_list_is_denied(db): + api = APIClient() + response = api.get("/api/v1/datasets/") + assert response.status_code in (401, 403) diff --git a/backend/tests/test_endpoints.py b/backend/tests/test_endpoints.py deleted file mode 100644 index ffe49fb48..000000000 --- a/backend/tests/test_endpoints.py +++ /dev/null @@ -1,282 +0,0 @@ -import json -import os -import shutil - -import validators -from django.conf import settings -from rest_framework import status - -from .base import BaseAPITestCase -from .factories import ( - LabelFactory, - TrainingFactory, -) - - -class TaskApiTest(BaseAPITestCase): - - def test_auth_me(self): - res = self.client.get(self.get_api_url("/auth/me/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - def test_auth_login(self): - res = self.client.get(self.get_api_url("/auth/login/")) - res_body = res.json() - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(validators.url(res_body["login_url"]), True) - - def test_create_dataset(self): - payload = { - "name": self.dataset.name, - "source_imagery": self.dataset.source_imagery, - } - res = self.client.post(self.get_api_url("/dataset/"), payload) - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - res = self.client.post(self.get_api_url("/dataset/"), payload, headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - def test_create_training(self): - payload_second = {"geom": self.aoi.geom.json, "dataset": self.dataset.id} - - res = self.post_json(self.get_api_url("/aoi/"), payload_second) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - payload_third = { - "geom": self.aoi.geom.json, - "dataset": self.dataset.id, - } - res = self.post_json(self.get_api_url("/aoi/"), payload_third) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - model_payload = {"name": self.model.name, "dataset": self.dataset.id} - res = self.post_json(self.get_api_url("/model/"), model_payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - training_payload = { - "description": "My very first training", - "epochs": 1, - "zoom_level": [20, 21], - "batch_size": 1, - "model": self.model.id, - } - res = self.post_json(self.get_api_url("training/"), training_payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - res = self.client.post( - self.get_api_url(f"/label/osm/fetch/{self.aoi.id}/"), "", headers=self.headers - ) - self.assertEqual(res.status_code, 202) - - res = self.client.post( - self.get_api_url(f"/label/osm/fetch/{self.aoi.id}/"), "", headers=self.headers - ) - self.assertEqual(res.status_code, 202) - - training_payload = { - "description": "My very first training", - "epochs": 31, - "zoom_level": [20, 21], - "batch_size": 1, - "model": self.model.id, - } - res = self.post_json(self.get_api_url("training/"), training_payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - training_payload = { - "description": "My very first training", - "epochs": 1, - "zoom_level": [20, 21], - "batch_size": 9, - "model": self.model.id, - } - res = self.post_json(self.get_api_url("training/"), training_payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - training_payload = { - "description": "My very first training", - "epochs": 1, - "zoom_level": [20, 21], - "batch_size": 1, - "model": self.model.id, - } - res = self.post_json(self.get_api_url("training/"), training_payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - self.training = TrainingFactory(model=self.model, user=self.user) - - def test_create_label(self): - self.label = LabelFactory(aoi=self.aoi) - self.training = TrainingFactory(model=self.model, user=self.user) - - label_payload = { - "geom": self.label.geom.json, - "aoi": self.aoi.id, - } - - res = self.post_json(self.get_api_url("label/"), label_payload) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - label_payload2 = { - "geom": self.label.geom.json, - "aoi": self.aoi.id, - } - - res = self.post_json(self.get_api_url("label/"), label_payload2) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - label_payload3 = { - "geom": self.label.geom.json, - "aoi": 40, - } - res = self.post_json(self.get_api_url("label/"), label_payload3) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_get_runStatus(self): - training = TrainingFactory(model=self.model, user=self.user) - res = self.client.get( - self.get_api_url(f"task/status/{training.id}/"), headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertIn('status', data) - self.assertEqual(data['status'], 'SUCCESS') - - def test_task_status_with_training_result(self): - from unittest.mock import MagicMock - - training = TrainingFactory(model=self.model, user=self.user) - - mock_result = MagicMock() - mock_result.state = 'SUCCESS' - mock_result.failed.return_value = False - mock_result.result = { - "accuracy": 0.85, - "output_path": f"/workspace/training_{training.id}/", - "preprocess_output": f"/workspace/training_{training.id}/preprocessed" - } - self.mock_celery.return_value = mock_result - - res = self.client.get( - self.get_api_url(f"task/status/{training.task_id}/"), headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertEqual(data['status'], 'SUCCESS') - self.assertIsInstance(data['result'], dict) - self.assertIn('accuracy', data['result']) - self.assertEqual(data['result']['accuracy'], 0.85) - - def test_task_status_with_prediction_result(self): - from unittest.mock import MagicMock - from .factories import PredictionFactory - - prediction = PredictionFactory(user=self.user) - - mock_result = MagicMock() - mock_result.state = 'SUCCESS' - mock_result.failed.return_value = False - mock_result.result = { - "len_predictions": 42, - "output": { - "aois": f"{settings.API_BASE_URL}/workspace/download/prediction_{prediction.id}/aois.geojson", - "predictions": f"{settings.API_BASE_URL}/workspace/download/prediction_{prediction.id}/labels.geojson", - "predictions_points": f"{settings.API_BASE_URL}/workspace/download/prediction_{prediction.id}/labels_points.geojson", - "pmtiles": f"{settings.API_BASE_URL}/workspace/download/prediction_{prediction.id}/meta.pmtiles", - } - } - self.mock_celery.return_value = mock_result - - res = self.client.get( - self.get_api_url(f"task/status/{prediction.task_id}/"), headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertEqual(data['status'], 'SUCCESS') - self.assertIsInstance(data['result'], dict) - self.assertIn('len_predictions', data['result']) - self.assertEqual(data['result']['len_predictions'], 42) - self.assertIn('output', data['result']) - - def test_task_status_pending_state(self): - from unittest.mock import MagicMock - - training = TrainingFactory(model=self.model, user=self.user) - - mock_result = MagicMock() - mock_result.state = 'PENDING' - mock_result.failed.return_value = False - mock_result.result = None - self.mock_celery.return_value = mock_result - - res = self.client.get( - self.get_api_url(f"task/status/{training.task_id}/"), headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertEqual(data['status'], 'PENDING') - - def test_task_status_failed_state(self): - from unittest.mock import MagicMock - - training = TrainingFactory(model=self.model, user=self.user) - - mock_result = MagicMock() - mock_result.state = 'FAILURE' - mock_result.failed.return_value = True - mock_result.result = Exception("Test error message") - mock_result.traceback = "Traceback (most recent call last):\n File test.py" - self.mock_celery.return_value = mock_result - - res = self.client.get( - self.get_api_url(f"task/status/{training.task_id}/"), headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertEqual(data['status'], 'FAILURE') - self.assertIn('error', data) - self.assertIn('traceback', data) - - def test_submit_training_feedback(self): - training = TrainingFactory(model=self.model, user=self.user) - training_feedback_payload = { - "training_id": training.id, - "config": { - "epochs": 20, - "batch_size": 8, - "zoom_level": [19, 20], - }, - "comments": "This is not a good feedback", - "action": "REJECT", - } - res = self.post_json(self.get_api_url("feedback/"), training_feedback_payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_publish_training(self): - training = TrainingFactory(model=self.model, user=self.user) - - res = self.client.post( - self.get_api_url(f"training/publish/{training.id}/"), headers=self.headers - ) - self.assertEqual(res.status_code, 409) - - # def test_get_GpxView(self): - # training = TrainingFactory(model=self.model, user=self.user) - # feedbackAoi = FeedbackAoiFactory(training=training, user=self.user) - - # # generate aoi GPX view - aoi_id - - # res = self.client.get(f"{API_BASE}/aoi/gpx/{self.aoi.id}/", headers=headersList) - # self.assertEqual(res.status_code, status.HTTP_200_OK) - - # # generate feedback aoi GPX view - feedback aoi_id - - # res = self.client.get( - # f"{API_BASE}/feedback-aoi/gpx/{feedbackAoi.id}/", headers=headersList - # ) - # self.assertEqual(res.status_code, status.HTTP_200_OK) - - # def test_get_workspace(self): - # # get training workspace - - # res = self.client.get(f"{API_BASE}/workspace/dataset_1/", headers=headersList) - # self.assertEqual(res.status_code, 404) diff --git a/backend/tests/test_geo_endpoints.py b/backend/tests/test_geo_endpoints.py deleted file mode 100644 index d62654532..000000000 --- a/backend/tests/test_geo_endpoints.py +++ /dev/null @@ -1,422 +0,0 @@ -import json -from django.contrib.gis.geos import GEOSGeometry, Point, Polygon -from rest_framework import status - -from .base import BaseAPITestCase -from .factories import ( - AoiFactory, - FeedbackFactory, - PredictionFactory, - TrainingFactory, -) -from core.models import AOI, Feedback, Label, Prediction - - -class GeoAPITestCase(BaseAPITestCase): - - def test_create_aoi_with_geojson(self): - geojson = { - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - } - - payload = { - "geom": geojson, - "dataset": self.dataset.id, - } - - res = self.post_json(self.get_api_url("/aoi/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - aoi = AOI.objects.get(id=res.json()["id"]) - self.assertIsNotNone(aoi.geom) - self.assertEqual(aoi.geom.geom_type, "Polygon") - self.assertEqual(aoi.dataset_id, self.dataset.id) - - def test_create_aoi_with_geojson_string(self): - geojson_string = json.dumps({ - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - }) - - payload = { - "geom": geojson_string, - "dataset": self.dataset.id, - } - - res = self.post_json(self.get_api_url("/aoi/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - def test_aoi_response_returns_geojson(self): - aoi = AoiFactory(dataset=self.dataset, user=self.user) - - res = self.client.get( - self.get_api_url(f"/aoi/{aoi.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertIn("type", data) - self.assertEqual(data["type"], "Feature") - self.assertIn("geometry", data) - self.assertIn("properties", data) - self.assertEqual(data["geometry"]["type"], "Polygon") - - def test_filter_aoi_by_dataset(self): - AoiFactory(dataset=self.dataset, user=self.user) - AoiFactory(dataset=self.dataset, user=self.user) - - res = self.client.get( - self.get_api_url(f"/aoi/?dataset={self.dataset.id}"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - if isinstance(data, dict) and "features" in data: - self.assertGreaterEqual(len(data["features"]), 2) - elif isinstance(data, list): - self.assertGreaterEqual(len(data), 2) - - def test_create_label_with_geojson(self): - geojson = { - "type": "Point", - "coordinates": [32.588507094820351, 0.348666499011499] - } - - payload = { - "geom": geojson, - "aoi": self.aoi.id, - } - - res = self.post_json(self.get_api_url("/label/"), payload) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - data = res.json() - label_id = data.get("id") or data.get("properties", {}).get("id") - self.assertIsNotNone(label_id) - - label = Label.objects.get(id=label_id) - self.assertIsNotNone(label.geom) - self.assertEqual(label.geom.geom_type, "Point") - - def test_create_label_with_polygon_geojson(self): - geojson = { - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - } - - payload = { - "geom": geojson, - "aoi": self.aoi.id, - } - - res = self.post_json(self.get_api_url("/label/"), payload) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_label_response_returns_geojson(self): - from .factories import LabelFactory - label = LabelFactory(aoi=self.aoi) - - res = self.client.get( - self.get_api_url(f"/label/{label.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertEqual(data["type"], "Feature") - self.assertIn("geometry", data) - self.assertIn("properties", data) - - def test_filter_labels_by_aoi(self): - from .factories import LabelFactory - LabelFactory(aoi=self.aoi) - - res = self.client.get( - self.get_api_url(f"/label/?aoi={self.aoi.id}"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - if isinstance(data, dict) and "features" in data: - self.assertGreaterEqual(len(data["features"]), 1) - elif isinstance(data, list): - self.assertGreaterEqual(len(data), 1) - - def test_filter_labels_by_dataset(self): - res = self.client.get( - self.get_api_url(f"/label/?aoi__dataset={self.dataset.id}"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_create_feedback_with_geojson(self): - training = TrainingFactory(model=self.model, user=self.user) - - geojson = { - "type": "Point", - "coordinates": [32.588507094820351, 0.348666499011499] - } - - payload = { - "geom": geojson, - "training": training.id, - "action": "ACCEPT", - } - - res = self.post_json(self.get_api_url("/feedback/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - feedback = Feedback.objects.get(id=res.json()["properties"]["id"]) - self.assertIsNotNone(feedback.geom) - self.assertEqual(feedback.action, "ACCEPT") - - def test_create_feedback_reject_with_geojson(self): - training = TrainingFactory(model=self.model, user=self.user) - - geojson = { - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - } - - payload = { - "geom": geojson, - "training": training.id, - "action": "REJECT", - "comments": "Incorrect prediction", - } - - res = self.post_json(self.get_api_url("/feedback/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - def test_feedback_response_returns_geojson(self): - feedback = FeedbackFactory(training__model=self.model, user=self.user) - - res = self.client.get( - self.get_api_url(f"/feedback/{feedback.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertEqual(data["type"], "Feature") - self.assertIn("geometry", data) - self.assertIn("properties", data) - - def test_filter_feedback_by_training(self): - training = TrainingFactory(model=self.model, user=self.user) - FeedbackFactory(training=training, user=self.user) - FeedbackFactory(training=training, user=self.user) - - res = self.client.get( - self.get_api_url(f"/feedback/?training={training.id}"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - if isinstance(data, dict) and "features" in data: - self.assertGreaterEqual(len(data["features"]), 2) - elif isinstance(data, list): - self.assertGreaterEqual(len(data), 2) - - def test_filter_feedback_by_action(self): - training = TrainingFactory(model=self.model, user=self.user) - FeedbackFactory(training=training, user=self.user, action="ACCEPT") - FeedbackFactory(training=training, user=self.user, action="REJECT") - - res = self.client.get( - self.get_api_url(f"/feedback/?action=ACCEPT"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_filter_feedback_by_user(self): - training = TrainingFactory(model=self.model, user=self.user) - FeedbackFactory(training=training, user=self.user) - - res = self.client.get( - self.get_api_url(f"/feedback/?user={self.user.osm_id}"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_create_prediction_with_geojson(self): - geojson = { - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - } - - payload = { - "geom": geojson, - "description": "Test prediction", - "config": { - "checkpoint": "test-checkpoint", - "zoom_level": 20, - "source": "https://tiles.openaerialmap.org/test/{z}/{x}/{y}" - } - } - - res = self.post_json(self.get_api_url("/prediction/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - prediction = Prediction.objects.get(id=res.json()["id"]) - self.assertIsNotNone(prediction.geom) - self.assertEqual(prediction.geom.geom_type, "Polygon") - self.assertEqual(prediction.task_id, 'test-prediction-task-id') - - def test_create_prediction_with_multipolygon_converts_to_bbox(self): - geojson = { - "type": "MultiPolygon", - "coordinates": [ - [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]], - [[ - [32.589507094820351, 0.349666499011499], - [32.589517512656978, 0.349184682976698], - [32.589869114643053, 0.349171660921362], - [32.589840465592334, 0.349679521066151], - [32.589507094820351, 0.349666499011499], - ]] - ] - } - - payload = { - "geom": geojson, - "config": { - "checkpoint": "test-checkpoint", - "zoom_level": 20, - "source": "https://tiles.openaerialmap.org/test/{z}/{x}/{y}" - } - } - - res = self.post_json(self.get_api_url("/prediction/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - prediction = Prediction.objects.get(id=res.json()["id"]) - self.assertEqual(prediction.geom.geom_type, "Polygon") - - def test_prediction_missing_config_fields_fails(self): - geojson = { - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - } - - payload = { - "geom": geojson, - "config": { - "checkpoint": "test-checkpoint" - } - } - - res = self.post_json(self.get_api_url("/prediction/"), payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_prediction_response_includes_geom(self): - prediction = PredictionFactory(user=self.user) - - res = self.client.get( - self.get_api_url(f"/prediction/{prediction.id}/"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - data = res.json() - self.assertIn("geom", data) - - def test_filter_prediction_by_status(self): - PredictionFactory(user=self.user, status="SUBMITTED") - - res = self.client.get( - self.get_api_url(f"/prediction/?status=SUBMITTED"), - headers=self.headers - ) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_aoi_invalid_geom_fails(self): - payload = { - "geom": {"type": "Invalid", "coordinates": []}, - "dataset": self.dataset.id, - } - - res = self.post_json(self.get_api_url("/aoi/"), payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_label_invalid_aoi_fails(self): - geojson = { - "type": "Point", - "coordinates": [32.588507094820351, 0.348666499011499] - } - - payload = { - "geom": geojson, - "aoi": 99999, - } - - res = self.post_json(self.get_api_url("/label/"), payload) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - def test_feedback_without_training_succeeds(self): - geojson = { - "type": "Point", - "coordinates": [32.588507094820351, 0.348666499011499] - } - - payload = { - "geom": geojson, - "action": "ACCEPT", - } - - res = self.post_json(self.get_api_url("/feedback/"), payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - feedback = Feedback.objects.get(id=res.json()["properties"]["id"]) - self.assertIsNone(feedback.training) diff --git a/backend/tests/test_hanko_auth.py b/backend/tests/test_hanko_auth.py deleted file mode 100644 index 16949c79c..000000000 --- a/backend/tests/test_hanko_auth.py +++ /dev/null @@ -1,153 +0,0 @@ -from unittest.mock import MagicMock, patch -from django.test import TestCase, override_settings -from rest_framework import status -from login.hanko_helpers import ( - generate_synthetic_osm_id, - is_real_osm_user, - find_legacy_user_by_osm_id, - create_osm_user, -) -from .base import SimpleAPITestCase -from .factories import OsmUserFactory - - -class TestSyntheticOsmId(TestCase): - """Tests for synthetic osm_id generation.""" - - def test_generates_negative_id(self): - osm_id = generate_synthetic_osm_id("hanko-user-123") - self.assertLess(osm_id, 0) - - def test_same_input_same_output(self): - id1 = generate_synthetic_osm_id("hanko-user-abc") - id2 = generate_synthetic_osm_id("hanko-user-abc") - self.assertEqual(id1, id2) - - def test_different_input_different_output(self): - id1 = generate_synthetic_osm_id("user-a") - id2 = generate_synthetic_osm_id("user-b") - self.assertNotEqual(id1, id2) - - def test_limited_to_9_digits(self): - osm_id = generate_synthetic_osm_id("any-hanko-id") - self.assertGreater(osm_id, -10**9) - - -class TestIsRealOsmUser(TestCase): - """Tests for real vs synthetic user detection.""" - - def test_positive_is_real(self): - self.assertTrue(is_real_osm_user(12345)) - - def test_negative_is_synthetic(self): - self.assertFalse(is_real_osm_user(-12345)) - - def test_zero_is_not_real(self): - self.assertFalse(is_real_osm_user(0)) - - -class TestFindLegacyUser(TestCase): - """Tests for legacy user lookup.""" - - def test_finds_existing_user(self): - user = OsmUserFactory(osm_id=999) - found = find_legacy_user_by_osm_id(999) - self.assertEqual(found, user) - - def test_returns_none_for_missing(self): - found = find_legacy_user_by_osm_id(99999) - self.assertIsNone(found) - - -class TestCreateOsmUser(TestCase): - """Tests for OsmUser creation.""" - - def test_creates_new_user(self): - user = create_osm_user( - osm_id=-123, - username="newuser", - email="new@example.com" - ) - self.assertEqual(user.osm_id, -123) - self.assertEqual(user.username, "newuser") - - def test_returns_existing_user(self): - existing = OsmUserFactory(osm_id=456) - user = create_osm_user(osm_id=456, username="different") - self.assertEqual(user.id, existing.id) - - def test_handles_username_conflict(self): - OsmUserFactory(osm_id=100, username="taken") - user = create_osm_user(osm_id=-200, username="taken") - self.assertEqual(user.username, "taken_1") - - -class TestAuthStatusEndpoint(SimpleAPITestCase): - """Tests for /api/v1/auth/status/ endpoint.""" - - def setUp(self): - super().setUp() - self.api_base = "/api/v1" - - @override_settings(AUTH_PROVIDER='hanko') - def test_hanko_not_authenticated(self): - res = self.client.get(self.get_api_url("/auth/status/")) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertFalse(res.data['authenticated']) - - -class TestHankoAuthentication(TestCase): - """Tests for HankoAuthentication class.""" - - def test_no_hotosm_attribute(self): - from login.authentication import HankoAuthentication - from rest_framework.exceptions import AuthenticationFailed - - auth = HankoAuthentication() - request = MagicMock(spec=[]) # Empty spec = no attributes - - with self.assertRaises(AuthenticationFailed): - auth.authenticate(request) - - def test_no_hanko_user(self): - from login.authentication import HankoAuthentication - - auth = HankoAuthentication() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = None - - result = auth.authenticate(request) - self.assertEqual(result, (None, None)) - - @patch('hotosm_auth_django.get_mapped_user_id') - def test_mapped_user_found(self, mock_get_mapped): - from login.authentication import HankoAuthentication - - user = OsmUserFactory(osm_id=789) - mock_get_mapped.return_value = "789" - - auth = HankoAuthentication() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = MagicMock() - request.hotosm.user.email = "test@example.com" - - result = auth.authenticate(request) - self.assertEqual(result[0], user) - - @patch('hotosm_auth_django.get_mapped_user_id') - def test_no_mapping_needs_onboarding(self, mock_get_mapped): - from login.authentication import HankoAuthentication - - mock_get_mapped.return_value = None - - auth = HankoAuthentication() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = MagicMock() - request.hotosm.user.email = "new@example.com" - - result = auth.authenticate(request) - self.assertEqual(result, (None, None)) - self.assertTrue(request.needs_onboarding) diff --git a/backend/tests/test_mapswipe.py b/backend/tests/test_mapswipe.py deleted file mode 100644 index 4867955f7..000000000 --- a/backend/tests/test_mapswipe.py +++ /dev/null @@ -1,110 +0,0 @@ -from unittest.mock import patch, MagicMock, Mock -from rest_framework import status -from .base import BaseAPITestCase - - -class MapswipeProjectViewSetTest(BaseAPITestCase): - """Simple test cases for MapSwipe integration.""" - - def setUp(self): - super().setUp() - self.mapswipe_create_url = self.get_api_url("/mapswipe-project/") - self.valid_payload = { - "topic": "Building Validation", - "region": "Nepal", - "description": "Validate building footprints", - "instruction": "Check if buildings match imagery", - "look_for": "buildings", - "geojson_url": "https://fair-dev.hotosm.org/api/v1/workspace/download/training_1142/labels.geojson/", - "tms_url": "https://tiles.openaerialmap.org/68bed3070dea6f775adb9b06/0/68bed3070dea6f775adb9b07/{z}/{x}/{y}" - } - @patch('core.views.get_object_or_404') - @patch('core.views.settings') - @patch('core.views.MapswipeClient') - def test_create_and_retrieve_mapswipe_project(self, mock_client, mock_settings,mock_get_obj): - """Test full workflow: create project then retrieve its status.""" - mock_settings.MAPSWIPE_BACKEND_URL = "http://test.mapswipe.org" - mock_settings.MAPSWIPE_MANAGER_URL = "http://manager.test" - mock_settings.MAPSWIPE_FB_AUTH_URL = "http://auth.test" - mock_settings.MAPSWIPE_FB_USERNAME = "test" - mock_settings.MAPSWIPE_FB_PASSWORD = "test" - mock_settings.MAPSWIPE_CSRFTOKEN_KEY = "test-key" - mock_settings.MAPSWIPE_ORGANIZATION_ID = "1" - - instance = MagicMock() - mock_client.return_value.__enter__.return_value = instance - - project_id = "test-project-123" - instance.create_validation_project.return_value = (project_id, "asset-456") - instance.update_project.return_value = {"result": {"id": project_id}, "errors": None} - instance.update_project_status.return_value = { - "result": {"id": project_id, "status": "READY_TO_PROCESS"}, - "errors": None - } - - - pred_mock = MagicMock() - pred_mock.id = 1 - pred_mock.mapswipe_id = project_id - pred_mock.result = None - mock_get_obj.return_value = pred_mock - - - - res = self.post_json(self.mapswipe_create_url, self.valid_payload) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - data = res.json() - self.assertEqual(data["code"], "SUCCESS") - self.assertEqual(data["data"]["project_id"], project_id) - self.assertEqual(data["data"]["status"], "READY_TO_PROCESS") - - instance.get_project_details.return_value = { - "id": project_id, - "status": "PROCESSED", - "region": "Nepal" - } - - res = self.client.get( - self.get_api_url(f"/mapswipe-project/{project_id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.json()["data"]["status"], "PROCESSED") - - def test_create_with_missing_fields(self): - """Test validation with missing required fields.""" - res = self.post_json(self.mapswipe_create_url, {"topic": "Test"}) - self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST) - - @patch('core.views.settings') - @patch('core.views.MapswipeClient') - def test_external_service_error(self, mock_client, mock_settings): - """Test handling of MapSwipe service errors.""" - mock_settings.MAPSWIPE_ORGANIZATION_ID = "1" - instance = MagicMock() - mock_client.return_value.__enter__.return_value = instance - instance.create_validation_project.side_effect = RuntimeError("Service error") - - res = self.post_json(self.mapswipe_create_url, self.valid_payload) - self.assertEqual(res.status_code, status.HTTP_502_BAD_GATEWAY) - self.assertEqual(res.json()["code"], "EXTERNAL_SERVICE_ERROR") - - @patch('core.views.MapswipeClient') - def test_project_not_found(self, mock_client): - """Test 404 when project doesn't exist.""" - instance = MagicMock() - mock_client.return_value.__enter__.return_value = instance - - import httpx - mock_response = Mock() - mock_response.status_code = 404 - instance.get_project_details.side_effect = httpx.HTTPStatusError( - "Not Found", request=Mock(), response=mock_response - ) - - res = self.client.get( - self.get_api_url("/mapswipe-project/invalid-id/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_404_NOT_FOUND) - self.assertEqual(res.json()["code"], "NOT_FOUND") diff --git a/backend/tests/test_onboarding.py b/backend/tests/test_onboarding.py deleted file mode 100644 index e0bde82bf..000000000 --- a/backend/tests/test_onboarding.py +++ /dev/null @@ -1,163 +0,0 @@ -from unittest.mock import MagicMock, patch -from django.test import TestCase, override_settings -from rest_framework import status -from .base import SimpleAPITestCase -from .factories import OsmUserFactory - - -class TestOnboardingCallback(TestCase): - """Tests for OnboardingCallback view.""" - - @override_settings(AUTH_PROVIDER='legacy') - def test_rejects_when_not_hanko_auth(self): - from login.views import OnboardingCallback - - view = OnboardingCallback() - request = MagicMock() - - response = view.get(request) - - self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) - self.assertIn('Hanko', response.data['error']) - - @override_settings(AUTH_PROVIDER='hanko') - def test_rejects_unauthenticated(self): - from login.views import OnboardingCallback - from core.exceptions import AuthenticationException - - view = OnboardingCallback() - request = MagicMock(spec=[]) - - with self.assertRaises(AuthenticationException): - view.get(request) - - @override_settings(AUTH_PROVIDER='hanko') - def test_rejects_no_hanko_user(self): - from login.views import OnboardingCallback - from core.exceptions import AuthenticationException - - view = OnboardingCallback() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = None - - with self.assertRaises(AuthenticationException): - view.get(request) - - @override_settings(AUTH_PROVIDER='hanko', FRONTEND_URL='https://fair.hotosm.org') - @patch('hotosm_auth_django.create_user_mapping') - def test_new_user_creates_synthetic_account(self, mock_create_mapping): - from login.views import OnboardingCallback - from login.models import OsmUser - - view = OnboardingCallback() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = MagicMock() - request.hotosm.user.id = "hanko-new-user-123" - request.hotosm.user.email = "newuser@example.com" - request.query_params = {'new_user': 'true'} - - response = view.get(request) - - self.assertEqual(response.status_code, 302) - self.assertEqual(response.url, 'https://fair.hotosm.org') - - user = OsmUser.objects.get(username='newuser') - self.assertLess(user.osm_id, 0) - - mock_create_mapping.assert_called_once() - call_args = mock_create_mapping.call_args - self.assertEqual(call_args.kwargs['hanko_user_id'], "hanko-new-user-123") - self.assertEqual(call_args.kwargs['app_name'], "fair") - - @override_settings(AUTH_PROVIDER='hanko') - def test_legacy_user_requires_osm_connection(self): - from login.views import OnboardingCallback - from core.exceptions import LoginException - - view = OnboardingCallback() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = MagicMock() - request.hotosm.user.id = "hanko-legacy-123" - request.hotosm.osm = None - request.query_params = {'new_user': 'false'} - - with self.assertRaises(LoginException): - view.get(request) - - @override_settings(AUTH_PROVIDER='hanko', FRONTEND_URL='https://fair.hotosm.org') - @patch('hotosm_auth_django.create_user_mapping') - def test_legacy_user_links_existing_account(self, mock_create_mapping): - from login.views import OnboardingCallback - - legacy_user = OsmUserFactory(osm_id=555, username='legacymapper') - - view = OnboardingCallback() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = MagicMock() - request.hotosm.user.id = "hanko-legacy-456" - request.hotosm.user.email = "legacy@example.com" - request.hotosm.osm = MagicMock() - request.hotosm.osm.osm_user_id = 555 - request.hotosm.osm.osm_username = 'legacymapper' - request.query_params = {'new_user': 'false'} - - response = view.get(request) - - self.assertEqual(response.status_code, 302) - - mock_create_mapping.assert_called_once() - call_args = mock_create_mapping.call_args - self.assertEqual(call_args.kwargs['app_user_id'], "555") - - @override_settings(AUTH_PROVIDER='hanko', LOGIN_URL='https://login.hotosm.org', FRONTEND_URL='/') - def test_legacy_user_not_found_redirects_with_error(self): - from login.views import OnboardingCallback - - view = OnboardingCallback() - request = MagicMock() - request.hotosm = MagicMock() - request.hotosm.user = MagicMock() - request.hotosm.user.id = "hanko-unknown-789" - request.hotosm.osm = MagicMock() - request.hotosm.osm.osm_user_id = 99999 - request.hotosm.osm.osm_username = 'unknownuser' - request.query_params = {'new_user': 'false'} - - response = view.get(request) - - self.assertEqual(response.status_code, 302) - self.assertIn('login.hotosm.org', response.url) - self.assertIn('error=', response.url) - - -class TestAuthStatusHanko(SimpleAPITestCase): - """Tests for AuthStatus view with Hanko auth.""" - - def setUp(self): - super().setUp() - self.api_base = "/api/v1" - - @override_settings(AUTH_PROVIDER='hanko') - def test_no_hotosm_returns_unauthenticated(self): - res = self.client.get(self.get_api_url("/auth/status/")) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.data['auth_provider'], 'hanko') - self.assertFalse(res.data['authenticated']) - self.assertFalse(res.data['hanko_authenticated']) - - @override_settings(AUTH_PROVIDER='legacy') - def test_legacy_provider_returns_legacy_status(self): - # Force login with a test user to ensure request.user is set - from login.models import OsmUser - user = OsmUser.objects.create(osm_id=1, username='testuser') - self.client.force_authenticate(user=user) - - res = self.client.get(self.get_api_url("/auth/status/")) - - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.data['auth_provider'], 'legacy') diff --git a/backend/tests/test_prediction_endpoints.py b/backend/tests/test_prediction_endpoints.py new file mode 100644 index 000000000..bf9c151cb --- /dev/null +++ b/backend/tests/test_prediction_endpoints.py @@ -0,0 +1,96 @@ +from unittest.mock import patch + +import pytest +from rest_framework.test import APIClient + +from accounts.models import OsmUser +from predictions.models import Prediction + + +@pytest.fixture +def authed_user(db) -> OsmUser: + return OsmUser.objects.create(osm_id=7, username="carol") + + +@pytest.fixture +def client(authed_user: OsmUser) -> APIClient: + api = APIClient() + api.force_authenticate(user=authed_user) + return api + + +_LOCAL_MODEL_UUID = "3a0374bf-d73c-4b4d-b165-081ffa2a18ad" +_TMS_URL = "https://tile.example.com/{z}/{x}/{y}.png" +_BBOX = [85.5, 27.6, 85.51, 27.61] + + +@patch("predictions.views.item_exists", return_value=True) +@patch("predictions.views.submit_prediction") +def test_prediction_submit_creates_record_and_enqueues(mock_task, mock_item_exists, client): + response = client.post( + "/api/v1/predictions/submit/", + data={ + "model_stac_id": _LOCAL_MODEL_UUID, + "image_uri": _TMS_URL, + "bbox": _BBOX, + "zoom": 19, + "params": {"confidence_threshold": 0.5}, + }, + format="json", + ) + assert response.status_code == 202, response.json() + assert Prediction.objects.count() == 1 + prediction = Prediction.objects.first() + assert prediction is not None + assert prediction.local_model_stac_id == _LOCAL_MODEL_UUID + assert prediction.bbox == _BBOX + assert prediction.zoom == 19 + mock_task.enqueue.assert_called_once() + + +def test_prediction_submit_rejects_bad_bbox(client): + response = client.post( + "/api/v1/predictions/submit/", + data={ + "model_stac_id": _LOCAL_MODEL_UUID, + "image_uri": _TMS_URL, + "bbox": [85.51, 27.61, 85.5, 27.6], + "zoom": 19, + }, + format="json", + ) + assert response.status_code == 400 + + +def test_prediction_submit_rejects_zoom_out_of_range(client): + response = client.post( + "/api/v1/predictions/submit/", + data={ + "model_stac_id": _LOCAL_MODEL_UUID, + "image_uri": _TMS_URL, + "bbox": _BBOX, + "zoom": 5, + }, + format="json", + ) + assert response.status_code == 400 + + +@patch("predictions.views.get_run_status") +@patch("predictions.views.is_terminal") +def test_prediction_run_status(mock_terminal, mock_status, client, authed_user): + mock_status.return_value = "completed" + mock_terminal.return_value = True + Prediction.objects.create( + zenml_run_id="zen-123", + local_model_stac_id=_LOCAL_MODEL_UUID, + image_uri=_TMS_URL, + bbox=_BBOX, + zoom=19, + user=authed_user, + ) + response = client.get("/api/v1/predictions/runs/zen-123/status/") + assert response.status_code == 200 + body = response.json() + assert body["status"] == "completed" + assert body["is_terminal"] is True diff --git a/backend/tests/test_runners.py b/backend/tests/test_runners.py index a53cdcb4d..179a91f71 100644 --- a/backend/tests/test_runners.py +++ b/backend/tests/test_runners.py @@ -1,23 +1,20 @@ from django.test.runner import DiscoverRunner -from django.db import connections class NoDestroyTestRunner(DiscoverRunner): - def teardown_databases(self, old_config, **kwargs): pass - + def setup_databases(self, **kwargs): from django.db import connection - from django.core.management import call_command - + db_settings = connection.settings_dict test_db_name = f"test_{db_settings['NAME']}" - + try: with connection.cursor() as cursor: cursor.execute(f"DROP DATABASE IF EXISTS {test_db_name} WITH (FORCE)") except Exception: pass - + return super().setup_databases(**kwargs) diff --git a/backend/tests/test_training_endpoints.py b/backend/tests/test_training_endpoints.py new file mode 100644 index 000000000..db3093cf9 --- /dev/null +++ b/backend/tests/test_training_endpoints.py @@ -0,0 +1,188 @@ +from unittest.mock import MagicMock, patch + +import pytest +from rest_framework.test import APIClient + +from accounts.models import OsmUser +from datasets.models import Dataset +from modelregistry.models import LocalModel +from trainings.models import TrainingRunRef + + +@pytest.fixture +def authed_user(db) -> OsmUser: + return OsmUser.objects.create(osm_id=99, username="bob") + + +@pytest.fixture +def client(authed_user: OsmUser) -> APIClient: + api = APIClient() + api.force_authenticate(user=authed_user) + return api + + +@pytest.fixture +def published_dataset(db, authed_user: OsmUser) -> Dataset: + return Dataset.objects.create( + stac_id="buildings-banepa", + title="Buildings Banepa", + source_imagery="https://tiles.example/{z}/{x}/{y}.png", + build_status=Dataset.BuildStatus.PUBLISHED, + user=authed_user, + ) + + +@pytest.fixture +def local_model(db, authed_user: OsmUser) -> LocalModel: + return LocalModel.objects.create( + name="my-existing-finetune", + status=LocalModel.Status.DRAFT, + user=authed_user, + ) + + +@pytest.fixture +def training_ref( + db, authed_user: OsmUser, local_model: LocalModel, published_dataset: Dataset +) -> TrainingRunRef: + # Backs the run-id keyed actions (status/logs/cancel) so the new ownership + # check can resolve a TrainingRunRef row for "abc-123". + return TrainingRunRef.objects.create( + zenml_run_id="abc-123", + local_model=local_model, + base_model_stac_id="unet-segmentation", + dataset=published_dataset, + user=authed_user, + ) + + +@patch("trainings.views.item_exists") +@patch("trainings.views.submit_training") +def test_training_submit_creates_run_ref_and_enqueues( + mock_task, mock_item_exists, client, published_dataset +): + mock_item_exists.return_value = True + response = client.post( + "/api/v1/trainings/submit/", + data={ + "base_model_stac_id": "unet-segmentation", + "dataset_stac_id": published_dataset.stac_id, + "model_name": "my-finetuned-v1", + "overrides": {"epochs": 3, "learning_rate": 0.001}, + "description": "First attempt", + }, + format="json", + ) + assert response.status_code == 202, response.json() + body = response.json() + assert body["status"] == "initializing" + assert body["base_model_stac_id"] == "unet-segmentation" + assert TrainingRunRef.objects.filter(local_model__name="my-finetuned-v1").exists() + mock_task.enqueue.assert_called_once() + + +@patch("trainings.views.item_exists") +def test_training_submit_404s_unknown_base_model(mock_item_exists, client, published_dataset): + # First call (BASE) returns False -> 404 before we even check dataset. + mock_item_exists.return_value = False + response = client.post( + "/api/v1/trainings/submit/", + data={ + "base_model_stac_id": "ghost", + "dataset_stac_id": published_dataset.stac_id, + "model_name": "x", + }, + format="json", + ) + assert response.status_code == 404 + + +@patch("trainings.views.item_exists") +def test_training_submit_404s_dataset_not_in_stac(mock_item_exists, client): + mock_item_exists.side_effect = [True, False] # BASE exists, dataset doesn't + response = client.post( + "/api/v1/trainings/submit/", + data={ + "base_model_stac_id": "unet-segmentation", + "dataset_stac_id": "ghost-ds", + "model_name": "x", + }, + format="json", + ) + assert response.status_code == 404 + + +@patch("trainings.views.item_exists", return_value=True) +def test_training_submit_404s_dataset_not_published(mock_item_exists, client, authed_user): + Dataset.objects.create( + stac_id="building-ds", + title="Building", + source_imagery="https://tiles.example/{z}/{x}/{y}.png", + build_status=Dataset.BuildStatus.BUILDING, + user=authed_user, + ) + response = client.post( + "/api/v1/trainings/submit/", + data={ + "base_model_stac_id": "unet-segmentation", + "dataset_stac_id": "building-ds", + "model_name": "x", + }, + format="json", + ) + assert response.status_code == 404 + + +@patch("trainings.views.get_run_status") +@patch("trainings.views.is_terminal") +def test_training_run_status_polls_zenml(mock_terminal, mock_status, client, training_ref): + mock_status.return_value = "running" + mock_terminal.return_value = False + response = client.get("/api/v1/trainings/runs/abc-123/status/") + assert response.status_code == 200 + body = response.json() + assert body["run_id"] == "abc-123" + assert body["status"] == "running" + assert body["is_terminal"] is False + mock_status.assert_called_once_with("abc-123") + + +@patch("trainings.views.fetch_run_logs") +def test_training_run_logs_default_returns_run_level(mock_fetch, client, training_ref): + mock_fetch.return_value = [ + MagicMock(level="INFO", message="hello", timestamp="2026-05-02T10:00:00Z") + ] + response = client.get("/api/v1/trainings/runs/abc-123/logs/?tail=20") + assert response.status_code == 200 + payload = response.json() + assert len(payload) == 1 + assert payload[0]["message"] == "hello" + mock_fetch.assert_called_once_with("abc-123", tail=20) + + +@patch("trainings.views.fetch_step_logs") +def test_training_run_logs_with_step_param_routes_to_step(mock_fetch, client, training_ref): + mock_fetch.return_value = [] + response = client.get("/api/v1/trainings/runs/abc-123/logs/?step=train_model&tail=5") + assert response.status_code == 200 + mock_fetch.assert_called_once_with("abc-123", "train_model", tail=5) + + +@patch("modelregistry.views.list_runs_for_model") +def test_local_model_runs_action_returns_summaries(mock_list_runs, client, local_model): + summary = MagicMock( + id="r1", + status="completed", + created_at="2026-05-01T10:00:00Z", + pipeline_name="training_pipeline", + model_name="my-existing-finetune", + model_version=1, + ) + summary.name = "run-1" + mock_list_runs.return_value = [summary] + response = client.get(f"/api/v1/local-models/{local_model.id}/runs/") + assert response.status_code == 200 + body = response.json() + assert len(body) == 1 + assert body[0]["id"] == "r1" + mock_list_runs.assert_called_once() diff --git a/backend/tests/test_views.py b/backend/tests/test_views.py deleted file mode 100644 index 11221ff2a..000000000 --- a/backend/tests/test_views.py +++ /dev/null @@ -1,19 +0,0 @@ -from django.urls import reverse -from rest_framework import status -from .base import SimpleAPITestCase - - -class CoreViewsTest(SimpleAPITestCase): - def test_home_api_info(self): - res = self.client.get(self.get_api_url("/")) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertIn("name", res.data) - self.assertEqual(res.data["name"], "fAIr API") - self.assertIn("version", res.data) - self.assertIn("description", res.data) - self.assertIn("documentation", res.data) - self.assertIn("swagger", res.data["documentation"]) - self.assertIn("redoc", res.data["documentation"]) - self.assertIn("openapi_schema", res.data["documentation"]) - self.assertIn("api", res.data) - self.assertIn("v1", res.data["api"]) diff --git a/backend/tests/test_viewsets.py b/backend/tests/test_viewsets.py deleted file mode 100644 index 92ac32961..000000000 --- a/backend/tests/test_viewsets.py +++ /dev/null @@ -1,365 +0,0 @@ -from rest_framework import status -from rest_framework.test import APITestCase - -from .base import BaseAPITestCase -from .factories import ( - AoiFactory, - DatasetFactory, - FeedbackFactory, - LabelFactory, - ModelFactory, - TrainingFactory, -) -from core.models import Dataset, Model, Training, Banner, UserNotification - - -class DatasetViewSetTest(BaseAPITestCase): - - def test_list_datasets(self): - DatasetFactory(user=self.user) - DatasetFactory(user=self.user) - - res = self.client.get(self.get_api_url("/dataset/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertGreater(len(res.json()["results"]), 0) - - def test_retrieve_dataset(self): - res = self.client.get( - self.get_api_url(f"/dataset/{self.dataset.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.json()["id"], self.dataset.id) - - def test_create_dataset(self): - payload = { - "name": "New Dataset", - "source_imagery": "https://tiles.example.com/{z}/{x}/{y}", - } - res = self.client.post( - self.get_api_url("/dataset/"), - payload, - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - self.assertTrue(Dataset.objects.filter(name="New Dataset").exists()) - - def test_update_dataset(self): - payload = {"name": "Updated Dataset"} - res = self.post_json( - self.get_api_url(f"/dataset/{self.dataset.id}/"), - payload, - method="PATCH" - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.dataset.refresh_from_db() - self.assertEqual(self.dataset.name, "Updated Dataset") - - def test_delete_dataset(self): - dataset = DatasetFactory(user=self.user) - res = self.client.delete( - self.get_api_url(f"/dataset/{dataset.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT) - self.assertFalse(Dataset.objects.filter(id=dataset.id).exists()) - - def test_filter_dataset_by_status(self): - res = self.client.get( - self.get_api_url("/dataset/?status=0"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_search_dataset_by_name(self): - DatasetFactory(user=self.user, name="Searchable Dataset") - res = self.client.get( - self.get_api_url("/dataset/?search=Searchable"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - -class ModelViewSetTest(BaseAPITestCase): - - def test_list_models(self): - ModelFactory(dataset=self.dataset, user=self.user) - res = self.client.get(self.get_api_url("/model/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_model(self): - res = self.client.get( - self.get_api_url(f"/model/{self.model.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.json()["id"], self.model.id) - - def test_create_model(self): - payload = { - "name": "New Model", - "dataset": self.dataset.id, - } - res = self.client.post( - self.get_api_url("/model/"), - payload, - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_201_CREATED) - - def test_update_model(self): - payload = {"name": "Updated Model"} - res = self.post_json( - self.get_api_url(f"/model/{self.model.id}/"), - payload, - method="PATCH" - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_delete_model(self): - model = ModelFactory(dataset=self.dataset, user=self.user) - res = self.client.delete( - self.get_api_url(f"/model/{model.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT) - - def test_filter_model_by_dataset(self): - res = self.client.get( - self.get_api_url(f"/model/?dataset={self.dataset.id}"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_filter_model_by_status(self): - res = self.client.get( - self.get_api_url("/model/?status=-1"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_search_model_by_name(self): - res = self.client.get( - self.get_api_url("/model/?search=Test"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_order_models_by_created_at(self): - res = self.client.get( - self.get_api_url("/model/?ordering=-created_at"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - -class TrainingViewSetTest(BaseAPITestCase): - - def test_list_trainings(self): - TrainingFactory(model=self.model, user=self.user) - res = self.client.get(self.get_api_url("/training/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_training(self): - training = TrainingFactory(model=self.model, user=self.user) - res = self.client.get( - self.get_api_url(f"/training/{training.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.json()["id"], training.id) - - def test_update_training_not_supported(self): - training = TrainingFactory(model=self.model, user=self.user) - payload = {"description": "Updated description"} - res = self.post_json( - self.get_api_url(f"/training/{training.id}/"), - payload, - method="PATCH" - ) - self.assertEqual(res.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) - - def test_delete_training(self): - training = TrainingFactory(model=self.model, user=self.user) - res = self.client.delete( - self.get_api_url(f"/training/{training.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT) - - def test_filter_training_by_model(self): - res = self.client.get( - self.get_api_url(f"/training/?model={self.model.id}"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_filter_training_by_status(self): - res = self.client.get( - self.get_api_url("/training/?status=SUBMITTED"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - -class AOIViewSetTest(BaseAPITestCase): - - def test_list_aois(self): - AoiFactory(dataset=self.dataset, user=self.user) - res = self.client.get(self.get_api_url("/aoi/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_aoi(self): - res = self.client.get( - self.get_api_url(f"/aoi/{self.aoi.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_update_aoi(self): - geojson = { - "type": "Polygon", - "coordinates": [[ - [32.588507094820351, 0.348666499011499], - [32.588517512656978, 0.348184682976698], - [32.588869114643053, 0.348171660921362], - [32.588840465592334, 0.348679521066151], - [32.588507094820351, 0.348666499011499], - ]] - } - payload = {"geom": geojson} - res = self.post_json( - self.get_api_url(f"/aoi/{self.aoi.id}/"), - payload, - method="PATCH" - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_delete_aoi(self): - aoi = AoiFactory(dataset=self.dataset, user=self.user) - res = self.client.delete( - self.get_api_url(f"/aoi/{aoi.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT) - - -class LabelViewSetTest(BaseAPITestCase): - - def test_list_labels(self): - LabelFactory(aoi=self.aoi) - res = self.client.get(self.get_api_url("/label/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_label(self): - label = LabelFactory(aoi=self.aoi) - res = self.client.get( - self.get_api_url(f"/label/{label.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_delete_label_requires_staff(self): - label = LabelFactory(aoi=self.aoi) - res = self.client.delete( - self.get_api_url(f"/label/{label.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - -class FeedbackViewSetTest(BaseAPITestCase): - - def test_list_feedbacks(self): - training = TrainingFactory(model=self.model, user=self.user) - FeedbackFactory(training=training, user=self.user) - res = self.client.get(self.get_api_url("/feedback/"), headers=self.headers) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_feedback(self): - feedback = FeedbackFactory(training__model=self.model, user=self.user) - res = self.client.get( - self.get_api_url(f"/feedback/{feedback.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_update_feedback(self): - feedback = FeedbackFactory(training__model=self.model, user=self.user) - payload = {"comments": "Updated comment"} - res = self.post_json( - self.get_api_url(f"/feedback/{feedback.id}/"), - payload, - method="PATCH" - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_delete_feedback(self): - feedback = FeedbackFactory(training__model=self.model, user=self.user) - res = self.client.delete( - self.get_api_url(f"/feedback/{feedback.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_204_NO_CONTENT) - - -class BannerViewSetTest(APITestCase): - - def test_list_banners(self): - from core.models import Banner - Banner.objects.create(message="Test banner") - res = self.client.get("/api/v1/banner/") - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_banner(self): - from core.models import Banner - banner = Banner.objects.create(message="Test banner") - res = self.client.get(f"/api/v1/banner/{banner.id}/") - self.assertEqual(res.status_code, status.HTTP_200_OK) - self.assertEqual(res.json()["message"], "Test banner") - - def test_create_banner_requires_admin(self): - payload = {"message": "New banner"} - res = self.client.post("/api/v1/banner/", payload) - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - def test_update_banner_requires_admin(self): - from core.models import Banner - banner = Banner.objects.create(message="Test banner") - payload = {"message": "Updated banner"} - res = self.client.patch(f"/api/v1/banner/{banner.id}/", payload) - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - def test_delete_banner_requires_admin(self): - from core.models import Banner - banner = Banner.objects.create(message="Test banner") - res = self.client.delete(f"/api/v1/banner/{banner.id}/") - self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN) - - -class NotificationViewSetTest(BaseAPITestCase): - - def test_list_notifications(self): - res = self.client.get( - self.get_api_url("/notifications/me/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_retrieve_notification(self): - notification = UserNotification.objects.create( - user=self.user, - message="Test notification" - ) - res = self.client.get( - self.get_api_url(f"/notifications/me/{notification.id}/"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) - - def test_filter_unread_notifications(self): - res = self.client.get( - self.get_api_url("/notifications/me/?is_read=false"), - headers=self.headers - ) - self.assertEqual(res.status_code, status.HTTP_200_OK) diff --git a/backend/tests/test_zenml_wrapper.py b/backend/tests/test_zenml_wrapper.py new file mode 100644 index 000000000..8e8f36e42 --- /dev/null +++ b/backend/tests/test_zenml_wrapper.py @@ -0,0 +1,123 @@ +from unittest.mock import MagicMock, patch + +import pytest + +from shared.integrations import zenml as wrapper + + +@pytest.fixture(autouse=True) +def _reset_master_client(): + wrapper.reset_master_client() + yield + wrapper.reset_master_client() + + +@patch("shared.integrations.zenml.FairClient") +def test_get_master_client_constructs_once_with_required_settings(mock_fair_client_cls, settings): + settings.FAIR_ZENML_STORE_URL = "http://zenml.test" + settings.FAIR_STAC_API_URL = "http://stac.test" + settings.FAIR_STAC_API_KEY = "secret-key" + instance = MagicMock() + mock_fair_client_cls.return_value = instance + + first = wrapper.get_master_client() + second = wrapper.get_master_client() + + assert first is second is instance + assert mock_fair_client_cls.call_count == 1 + instance.setup.assert_called_once() + kwargs = mock_fair_client_cls.call_args.kwargs + assert kwargs["zenml_store_url"] == "http://zenml.test" + assert kwargs["stac_api_url"] == "http://stac.test" + assert kwargs["stac_api_key"] == "secret-key" + assert kwargs["upload_artifacts"] is True + + +@patch("shared.integrations.zenml.FairClient") +def test_get_master_client_raises_when_required_setting_missing(mock_fair_client_cls, settings): + settings.FAIR_ZENML_STORE_URL = "" + with pytest.raises(RuntimeError, match="FAIR_ZENML_STORE_URL"): + wrapper.get_master_client() + mock_fair_client_cls.assert_not_called() + + +@patch("shared.integrations.zenml.FairClient") +def test_for_user_returns_proxy_via_with_user(mock_fair_client_cls, settings): + settings.FAIR_ZENML_STORE_URL = "http://zenml.test" + settings.FAIR_STAC_API_URL = "http://stac.test" + instance = MagicMock() + proxy = MagicMock() + instance.with_user.return_value = proxy + mock_fair_client_cls.return_value = instance + + result = wrapper.for_user("alice") + + assert result is proxy + instance.with_user.assert_called_once_with("alice") + + +@patch("shared.integrations.zenml.FairClient") +def test_for_user_reuses_master_client_across_calls(mock_fair_client_cls, settings): + settings.FAIR_ZENML_STORE_URL = "http://zenml.test" + settings.FAIR_STAC_API_URL = "http://stac.test" + instance = MagicMock() + mock_fair_client_cls.return_value = instance + + wrapper.for_user("alice") + wrapper.for_user("bob") + wrapper.for_user("carol") + + assert mock_fair_client_cls.call_count == 1 + assert instance.with_user.call_count == 3 + + +@patch("shared.integrations.zenml._get_run_status") +def test_get_run_status_passes_through(mock_status): + mock_status.return_value = "running" + assert wrapper.get_run_status("run-1") == "running" + mock_status.assert_called_once_with("run-1") + + +@patch("shared.integrations.zenml._fetch_run_logs") +def test_fetch_run_logs_passes_tail(mock_fetch): + mock_fetch.return_value = [] + wrapper.fetch_run_logs("run-1", tail=200) + mock_fetch.assert_called_once_with("run-1", tail=200) + + +@patch("shared.integrations.zenml._fetch_step_logs") +def test_fetch_step_logs_passes_step(mock_fetch): + mock_fetch.return_value = [] + wrapper.fetch_step_logs("run-1", "train_model", tail=50) + mock_fetch.assert_called_once_with("run-1", "train_model", tail=50) + + +@patch("shared.integrations.zenml._list_runs_for_model") +def test_list_runs_for_model_passes_limit(mock_list): + mock_list.return_value = [] + wrapper.list_runs_for_model("my-model", limit=10) + mock_list.assert_called_once_with("my-model", limit=10) + + +@patch("shared.integrations.zenml._is_terminal") +def test_is_terminal_passes_through(mock_is_terminal): + mock_is_terminal.return_value = True + assert wrapper.is_terminal("completed") is True + mock_is_terminal.assert_called_once_with("completed") + + +@patch("shared.integrations.zenml.FairClient") +def test_reset_master_client_forces_reconstruction(mock_fair_client_cls, settings): + settings.FAIR_ZENML_STORE_URL = "http://zenml.test" + settings.FAIR_STAC_API_URL = "http://stac.test" + instance_a = MagicMock() + instance_b = MagicMock() + mock_fair_client_cls.side_effect = [instance_a, instance_b] + + first = wrapper.get_master_client() + wrapper.reset_master_client() + second = wrapper.get_master_client() + + assert first is instance_a + assert second is instance_b + assert mock_fair_client_cls.call_count == 2 diff --git a/backend/trainings/__init__.py b/backend/trainings/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/trainings/admin.py b/backend/trainings/admin.py new file mode 100644 index 000000000..37b902c8a --- /dev/null +++ b/backend/trainings/admin.py @@ -0,0 +1,28 @@ +from django.contrib import admin + +from .models import TrainingRunRef + + +@admin.register(TrainingRunRef) +class TrainingRunRefAdmin(admin.ModelAdmin): + list_display = [ + "id", + "zenml_run_id", + "local_model", + "base_model_stac_id", + "dataset", + "status", + "user", + "submitted_at", + ] + list_filter = ["status", "submitted_at"] + search_fields = [ + "zenml_run_id", + "local_model__stac_id", + "base_model_stac_id", + "user__username", + ] + readonly_fields = ["submitted_at", "last_polled_at"] + date_hierarchy = "submitted_at" + list_per_page = 50 + autocomplete_fields = ["local_model", "dataset", "user"] diff --git a/backend/trainings/apps.py b/backend/trainings/apps.py new file mode 100644 index 000000000..7d5f9445c --- /dev/null +++ b/backend/trainings/apps.py @@ -0,0 +1,6 @@ +from django.apps import AppConfig + + +class TrainingConfig(AppConfig): + default_auto_field = "django.db.models.BigAutoField" + name = "trainings" diff --git a/backend/trainings/migrations/0001_initial.py b/backend/trainings/migrations/0001_initial.py new file mode 100644 index 000000000..a926bc9d7 --- /dev/null +++ b/backend/trainings/migrations/0001_initial.py @@ -0,0 +1,39 @@ +# Generated by Django 6.0.4 on 2026-05-04 15:39 + +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + ('datasets', '0001_initial'), + ('modelregistry', '0001_initial'), + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name='TrainingRunRef', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('zenml_run_id', models.CharField(blank=True, max_length=64, null=True, unique=True)), + ('base_model_stac_id', models.CharField(max_length=200)), + ('overrides', models.JSONField(blank=True, default=dict)), + ('description', models.TextField(blank=True)), + ('status_cache', models.CharField(default='initializing', max_length=20)), + ('submitted_at', models.DateTimeField(auto_now_add=True)), + ('last_polled_at', models.DateTimeField(blank=True, null=True)), + ('dataset', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='training_runs', to='datasets.dataset')), + ('local_model', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='runs', to='modelregistry.localmodel')), + ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='training_runs', to=settings.AUTH_USER_MODEL, to_field='osm_id')), + ], + options={ + 'ordering': ['-submitted_at'], + 'indexes': [models.Index(fields=['local_model'], name='trainings_t_local_m_b5fe29_idx'), models.Index(fields=['status_cache'], name='trainings_t_status__77d437_idx'), models.Index(fields=['user'], name='trainings_t_user_id_766d81_idx'), models.Index(fields=['base_model_stac_id'], name='trainings_t_base_mo_5deec9_idx')], + }, + ), + ] diff --git a/backend/trainings/migrations/0002_trainingrunref_title.py b/backend/trainings/migrations/0002_trainingrunref_title.py new file mode 100644 index 000000000..ea8a5219a --- /dev/null +++ b/backend/trainings/migrations/0002_trainingrunref_title.py @@ -0,0 +1,18 @@ +# Generated by Django 6.0.4 on 2026-05-05 17:17 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('trainings', '0001_initial'), + ] + + operations = [ + migrations.AddField( + model_name='trainingrunref', + name='title', + field=models.CharField(blank=True, default='', max_length=200), + ), + ] diff --git a/backend/trainings/migrations/0003_trainingrunref_keywords.py b/backend/trainings/migrations/0003_trainingrunref_keywords.py new file mode 100644 index 000000000..962f13a02 --- /dev/null +++ b/backend/trainings/migrations/0003_trainingrunref_keywords.py @@ -0,0 +1,18 @@ +# Generated by Django 6.0.4 on 2026-05-05 17:36 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('trainings', '0002_trainingrunref_title'), + ] + + operations = [ + migrations.AddField( + model_name='trainingrunref', + name='keywords', + field=models.JSONField(blank=True, default=list), + ), + ] diff --git a/backend/trainings/migrations/0004_remove_trainingrunref_trainings_t_status__77d437_idx_and_more.py b/backend/trainings/migrations/0004_remove_trainingrunref_trainings_t_status__77d437_idx_and_more.py new file mode 100644 index 000000000..db3b132bf --- /dev/null +++ b/backend/trainings/migrations/0004_remove_trainingrunref_trainings_t_status__77d437_idx_and_more.py @@ -0,0 +1,30 @@ +# Generated by Django 6.0.4 on 2026-05-05 21:42 + +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('datasets', '0002_remove_dataset_build_error'), + ('modelregistry', '0002_rename_stac_id_localmodel_name'), + ('trainings', '0003_trainingrunref_keywords'), + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.RemoveIndex( + model_name='trainingrunref', + name='trainings_t_status__77d437_idx', + ), + migrations.RenameField( + model_name='trainingrunref', + old_name='status_cache', + new_name='status', + ), + migrations.AddIndex( + model_name='trainingrunref', + index=models.Index(fields=['status'], name='trainings_t_status_b49eb0_idx'), + ), + ] diff --git a/backend/trainings/migrations/__init__.py b/backend/trainings/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/trainings/models.py b/backend/trainings/models.py new file mode 100644 index 000000000..0cd97e14a --- /dev/null +++ b/backend/trainings/models.py @@ -0,0 +1,45 @@ +from django.db import models + +from accounts.models import OsmUser +from datasets.models import Dataset +from modelregistry.models import LocalModel + + +class TrainingRunRef(models.Model): + zenml_run_id = models.CharField(max_length=64, unique=True, null=True, blank=True) + local_model = models.ForeignKey( + LocalModel, + on_delete=models.CASCADE, + related_name="runs", + ) + base_model_stac_id = models.CharField(max_length=200) + dataset = models.ForeignKey( + Dataset, + on_delete=models.PROTECT, + related_name="training_runs", + null=True, + blank=True, + ) + overrides = models.JSONField(default=dict, blank=True) + title = models.CharField(max_length=200, blank=True, default="") + # keywords + dataset keywords + dataset fair:geometry_type) at publish. + keywords = models.JSONField(default=list, blank=True) + description = models.TextField(blank=True) + status = models.CharField(max_length=20, default="initializing") + user = models.ForeignKey( + OsmUser, + to_field="osm_id", + on_delete=models.CASCADE, + related_name="training_runs", + ) + submitted_at = models.DateTimeField(auto_now_add=True) + last_polled_at = models.DateTimeField(null=True, blank=True) + + class Meta: + indexes = [ + models.Index(fields=["local_model"]), + models.Index(fields=["status"]), + models.Index(fields=["user"]), + models.Index(fields=["base_model_stac_id"]), + ] + ordering = ["-submitted_at"] diff --git a/backend/trainings/serializers.py b/backend/trainings/serializers.py new file mode 100644 index 000000000..def6c65c0 --- /dev/null +++ b/backend/trainings/serializers.py @@ -0,0 +1,103 @@ +from django.utils.text import slugify +from rest_framework import serializers + +from notifications.serializers import UserSerializer + +from .models import TrainingRunRef + + +class TrainingSubmitSerializer(serializers.Serializer): + base_model_stac_id = serializers.CharField(max_length=200) + dataset_stac_id = serializers.CharField(max_length=200) + model_name = serializers.CharField(max_length=200) + overrides = serializers.DictField(required=False, default=dict) + title = serializers.CharField( + required=False, + allow_blank=True, + max_length=200, + default="", + help_text=( + "Optional readable title carried onto the published STAC " + 'item. Falls back to "{model_name} v{N}" at publish time when ' + "left empty." + ), + ) + keywords = serializers.ListField( + child=serializers.CharField(max_length=80), + required=False, + default=list, + help_text=( + "Extra keywords carried onto the published STAC item. Merged " + "additively at publish time with base-model keywords, dataset " + "keywords, and the dataset's geometry_type." + ), + ) + description = serializers.CharField(required=False, allow_blank=True, default="") + + def validate_model_name(self, value: str) -> str: + # Slugify so the value is safe as a ZenML model_name + STAC mlm:name. + slug = slugify(value) + if not slug: + raise serializers.ValidationError( + "model_name must contain at least one alphanumeric character." + ) + return slug + + def validate_keywords(self, value: list[str]) -> list[str]: + return list(dict.fromkeys(value)) + + +class TrainingRunRefSerializer(serializers.ModelSerializer): + user = UserSerializer(read_only=True) + + class Meta: + model = TrainingRunRef + fields = [ + "id", + "zenml_run_id", + "local_model", + "base_model_stac_id", + "dataset", + "overrides", + "title", + "keywords", + "description", + "status", + "user", + "submitted_at", + "last_polled_at", + ] + read_only_fields = [ + "id", + "zenml_run_id", + "status", + "user", + "submitted_at", + "last_polled_at", + ] + + +class TrainingPublishSerializer(serializers.Serializer): + description = serializers.CharField(required=False, allow_blank=True, default="") + title = serializers.CharField( + required=False, + allow_blank=True, + max_length=200, + default="", + help_text=( + "Optional Readable title for this version's STAC item. " + 'Falls back to "{model_name} v{N}" when omitted.' + ), + ) + + +class RunStatusSerializer(serializers.Serializer): + run_id = serializers.CharField() + status = serializers.CharField() + is_terminal = serializers.BooleanField() + + +class LogEntrySerializer(serializers.Serializer): + level = serializers.CharField() + message = serializers.CharField() + timestamp = serializers.CharField(allow_null=True) diff --git a/backend/trainings/tasks.py b/backend/trainings/tasks.py new file mode 100644 index 000000000..ed1483e53 --- /dev/null +++ b/backend/trainings/tasks.py @@ -0,0 +1,58 @@ +import logging +from datetime import timedelta + +from django.conf import settings +from django.utils import timezone +from django_tasks import task + +from shared.integrations.zenml import for_user, get_run_status, is_terminal + +from .models import TrainingRunRef + +logger = logging.getLogger(__name__) + +_SYNC_INTERVAL_S = settings.TRAINING_SYNC_INTERVAL + + +@task() +def submit_training(*, training_run_ref_id: int) -> None: + run_ref = TrainingRunRef.objects.select_related("local_model", "dataset").get( + id=training_run_ref_id + ) + if not run_ref.base_model_stac_id or run_ref.dataset is None: + raise RuntimeError(f"TrainingRunRef {run_ref.id} missing base_model_stac_id or dataset") + + client = for_user(str(run_ref.user.osm_id)) + zenml_run_id = client.submit_finetune( + base_model_id=run_ref.base_model_stac_id, + dataset_id=run_ref.dataset.stac_id, + model_name=run_ref.local_model.name, + overrides=run_ref.overrides or {}, + ) + run_ref.zenml_run_id = zenml_run_id + run_ref.status = "submitted" + run_ref.save(update_fields=["zenml_run_id", "status"]) + + sync_training_status.using( + run_after=timezone.now() + timedelta(seconds=_SYNC_INTERVAL_S) + ).enqueue(training_run_ref_id=run_ref.id) + + +@task() +def sync_training_status(*, training_run_ref_id: int) -> None: + """Self-enqueueing poller: keeps `TrainingRunRef.status` fresh.""" + run_ref = TrainingRunRef.objects.filter(id=training_run_ref_id).first() + if run_ref is None or not run_ref.zenml_run_id: + return + if is_terminal(run_ref.status): + return + + new_status = get_run_status(run_ref.zenml_run_id) + TrainingRunRef.objects.filter(id=training_run_ref_id).update( + status=new_status, last_polled_at=timezone.now() + ) + + if not is_terminal(new_status): + sync_training_status.using( + run_after=timezone.now() + timedelta(seconds=_SYNC_INTERVAL_S) + ).enqueue(training_run_ref_id=training_run_ref_id) diff --git a/backend/trainings/urls.py b/backend/trainings/urls.py new file mode 100644 index 000000000..fc9846e4a --- /dev/null +++ b/backend/trainings/urls.py @@ -0,0 +1,11 @@ +from django.urls import include, path +from rest_framework import routers + +from .views import TrainingViewSet + +router = routers.DefaultRouter() +router.register(r"trainings", TrainingViewSet) + +urlpatterns = [ + path("", include(router.urls)), +] diff --git a/backend/trainings/views.py b/backend/trainings/views.py new file mode 100644 index 000000000..6c6f99794 --- /dev/null +++ b/backend/trainings/views.py @@ -0,0 +1,266 @@ +from django.shortcuts import get_object_or_404 +from django_filters.rest_framework import DjangoFilterBackend +from drf_spectacular.utils import extend_schema, extend_schema_view, inline_serializer +from rest_framework import filters, serializers, status, viewsets +from rest_framework.decorators import action +from rest_framework.exceptions import NotFound, PermissionDenied +from rest_framework.permissions import IsAuthenticated +from rest_framework.response import Response +from rest_framework.throttling import ScopedRateThrottle + +from accounts.authentication import OsmAuthentication +from accounts.permissions import IsOwnerOrAdminOrReadOnly, _is_admin +from datasets.models import Dataset +from modelregistry.models import LocalModel +from shared.integrations.stac import ( + BASE_MODELS_COLLECTION, + DATASETS_COLLECTION, + LOCAL_MODELS_COLLECTION, + get_active_local_model_item, + invalidate_stac_cache, + item_exists, +) +from shared.integrations.zenml import ( + fetch_run_logs, + fetch_step_logs, + for_user, + get_run_status, + is_terminal, +) +from shared.storage import BackendLocalModelPaths + +from .models import TrainingRunRef +from .serializers import ( + LogEntrySerializer, + RunStatusSerializer, + TrainingPublishSerializer, + TrainingRunRefSerializer, + TrainingSubmitSerializer, +) +from .tasks import submit_training + + +def _previous_version_description(model_name: str) -> str: + # Echo the active version's description + item = get_active_local_model_item(model_name) + if item is None: + return "" + return item.properties.get("description") or "" + + +@extend_schema_view( + list=extend_schema(description="List training runs visible to the caller."), + retrieve=extend_schema(description="Retrieve one training run by id."), + submit=extend_schema( + description=( + "Enqueue a finetune ZenML pipeline run. Validates that " + "`base_model_stac_id` exists in the STAC base-models collection " + "and `dataset_stac_id` exists in datasets before enqueueing." + ) + ), + run_status=extend_schema(description="Poll the live ZenML run status; updates status."), + run_logs=extend_schema( + description="Tail run logs (run-level by default, step-level with ?step=)." + ), + run_cancel=extend_schema( + description="Stop a running ZenML pipeline (graceful via ?graceful=true)." + ), + publish=extend_schema( + description=( + "Publish the finetuned model to local-models (owner only). " + "Writes a new STAC item under the model's mlm:name and refreshes " + "the cached entry. Each successful publish creates a new version." + ) + ), +) +class TrainingViewSet(viewsets.ReadOnlyModelViewSet): + queryset = TrainingRunRef.objects.all() + serializer_class = TrainingRunRefSerializer + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated, IsOwnerOrAdminOrReadOnly] + filter_backends = [DjangoFilterBackend, filters.OrderingFilter] + filterset_fields = ["local_model", "user", "status"] + ordering_fields = ["submitted_at", "last_polled_at"] + throttle_scope = "training_submit" + + @action( + detail=False, + methods=["post"], + url_path="submit", + throttle_classes=[ScopedRateThrottle], + ) + def submit(self, request) -> Response: + serializer = TrainingSubmitSerializer(data=request.data) + serializer.is_valid(raise_exception=True) + payload = serializer.validated_data + + if not item_exists(BASE_MODELS_COLLECTION, payload["base_model_stac_id"]): + raise NotFound( + f"base_model_stac_id '{payload['base_model_stac_id']}' " + "not found in STAC base-models collection." + ) + if not item_exists(DATASETS_COLLECTION, payload["dataset_stac_id"]): + raise NotFound( + f"dataset_stac_id '{payload['dataset_stac_id']}' " + "not found in STAC datasets collection." + ) + # The local Dataset row is also required (we manage its lifecycle). + dataset = get_object_or_404( + Dataset, + stac_id=payload["dataset_stac_id"], + build_status=Dataset.BuildStatus.PUBLISHED, + ) + + # TODO(clone-training): expose POST /api/v1/trainings/{id}/clone/ that + # copies an existing run's (base_model, dataset, overrides) into a new + # LocalModel owned by the caller. Removes the need for users to manually + # re-key configs to retrain on someone else's setup. + local_model, created = LocalModel.objects.get_or_create( + name=payload["model_name"], + defaults={"user": request.user}, + ) + if ( + not created + and local_model.user_id != request.user.osm_id + and not _is_admin(request.user) + ): + return Response( + { + "detail": ( + f"Model '{local_model.name}' is owned by another user. " + "Submit under a different model_name, or clone an existing " + "training run config under your own model." + ), + }, + status=status.HTTP_403_FORBIDDEN, + ) + + run_ref = TrainingRunRef.objects.create( + zenml_run_id=None, + local_model=local_model, + base_model_stac_id=payload["base_model_stac_id"], + dataset=dataset, + overrides=payload["overrides"], + title=payload["title"], + keywords=payload["keywords"], + description=payload["description"], + user=request.user, + ) + + submit_training.enqueue(training_run_ref_id=run_ref.id) + return Response(TrainingRunRefSerializer(run_ref).data, status=status.HTTP_202_ACCEPTED) + + def _run_for_caller(self, run_id: str) -> TrainingRunRef: + # ZenML run_ids are UUIDs and the action sits behind detail=False, so + # IsOwnerOrAdminOrReadOnly never gets a chance to fire on the row that + # owns this run. Resolve the row by zenml_run_id and gate by ownership + # explicitly; otherwise any authenticated caller could poll/cancel/log + # any other user's pipeline run. + run = get_object_or_404(TrainingRunRef, zenml_run_id=run_id) + user = self.request.user + if not _is_admin(user) and run.user_id != user.osm_id: + raise PermissionDenied("Not allowed.") + return run + + @extend_schema(responses=RunStatusSerializer) + @action(detail=False, methods=["get"], url_path=r"runs/(?P[^/]+)/status") + def run_status(self, request, run_id: str) -> Response: + run = self._run_for_caller(run_id) + run_status = get_run_status(run_id) + TrainingRunRef.objects.filter(pk=run.pk).update(status=run_status) + return Response( + RunStatusSerializer( + {"run_id": run_id, "status": run_status, "is_terminal": is_terminal(run_status)} + ).data + ) + + @extend_schema(responses=LogEntrySerializer(many=True)) + @action(detail=False, methods=["get"], url_path=r"runs/(?P[^/]+)/logs") + def run_logs(self, request, run_id: str) -> Response: + self._run_for_caller(run_id) + tail = int(request.query_params.get("tail", 1000)) + step = request.query_params.get("step") + if step: + entries = fetch_step_logs(run_id, step, tail=tail) + else: + entries = fetch_run_logs(run_id, tail=tail) + data = [{"level": e.level, "message": e.message, "timestamp": e.timestamp} for e in entries] + return Response(LogEntrySerializer(data, many=True).data) + + @extend_schema( + request=None, + responses=inline_serializer( + name="TrainingRunCancelResponse", + fields={ + "run_id": serializers.CharField(), + "status": serializers.CharField(), + "graceful": serializers.BooleanField(), + }, + ), + ) + @action(detail=False, methods=["post"], url_path=r"runs/(?P[^/]+)/cancel") + def run_cancel(self, request, run_id: str) -> Response: + from zenml.client import Client + from zenml.utils.run_utils import stop_run + + run_ref = self._run_for_caller(run_id) + run = Client().get_pipeline_run(run_id) + graceful = request.query_params.get("graceful", "false").lower() == "true" + stop_run(run, graceful=graceful) + TrainingRunRef.objects.filter(pk=run_ref.pk).update(status="stopping") + return Response({"run_id": run_id, "status": "stopping", "graceful": graceful}) + + @extend_schema( + request=TrainingPublishSerializer, + responses=inline_serializer( + name="TrainingPublishResponse", + fields={"local_model_stac_id": serializers.CharField()}, + ), + ) + @action(detail=True, methods=["post"], url_path="publish") + def publish(self, request, pk: int | None = None) -> Response: + run_ref = self.get_object() + if run_ref.user_id != request.user.osm_id: + return Response({"detail": "Not allowed."}, status=status.HTTP_403_FORBIDDEN) + if run_ref.status != "completed": + return Response( + {"detail": "Training run is not completed."}, + status=status.HTTP_409_CONFLICT, + ) + if not run_ref.zenml_run_id: + return Response( + {"detail": "Training run has no ZenML run id."}, + status=status.HTTP_409_CONFLICT, + ) + if not run_ref.dataset: + return Response( + {"detail": "Training run has no dataset."}, + status=status.HTTP_409_CONFLICT, + ) + + serializer = TrainingPublishSerializer(data=request.data) + serializer.is_valid(raise_exception=True) + + description = ( + serializer.validated_data["description"] + or run_ref.description + or _previous_version_description(run_ref.local_model.name) + or "" + ) + title = serializer.validated_data["title"] or run_ref.title or None + keywords = list(run_ref.keywords or []) or None + client = for_user(str(request.user.osm_id)) + local_id = client.promote( + run_ref.local_model.name, + base_model_id=run_ref.base_model_stac_id, + dataset_id=run_ref.dataset.stac_id, + description=description, + title=title, + keywords=keywords, + pipeline_run_id=run_ref.zenml_run_id, + paths=BackendLocalModelPaths, + ) + run_ref.local_model.status = LocalModel.Status.PUBLISHED + run_ref.local_model.save(update_fields=["status", "last_modified"]) + invalidate_stac_cache(LOCAL_MODELS_COLLECTION, run_ref.local_model.name) + return Response({"local_model_stac_id": local_id}, status=status.HTTP_201_CREATED) diff --git a/backend/uv.lock b/backend/uv.lock index f0ce3823b..be1774865 100644 --- a/backend/uv.lock +++ b/backend/uv.lock @@ -1,24 +1,22 @@ version = 1 revision = 3 -requires-python = ">=3.9" -resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'darwin'", - "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "python_full_version >= '3.12' and sys_platform == 'win32'", - "(python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux' and sys_platform != 'win32')", - "python_full_version == '3.11.*' and sys_platform == 'darwin'", - "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 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b/backend/workspace/urls.py @@ -0,0 +1,8 @@ +from django.urls import path + +from .views import WorkspaceListView, WorkspacePresignedView + +urlpatterns = [ + path("workspace/", WorkspaceListView.as_view(), name="workspace-list"), + path("workspace/url/", WorkspacePresignedView.as_view(), name="workspace-url"), +] diff --git a/backend/workspace/views.py b/backend/workspace/views.py new file mode 100644 index 000000000..ee5eb7377 --- /dev/null +++ b/backend/workspace/views.py @@ -0,0 +1,91 @@ +from django.conf import settings +from drf_spectacular.utils import OpenApiParameter, extend_schema +from rest_framework import serializers, status +from rest_framework.permissions import IsAuthenticated +from rest_framework.response import Response +from rest_framework.views import APIView + +from accounts.authentication import OsmAuthentication + +from .serializers import WorkspaceListingSerializer, WorkspacePresignedSerializer + + +class WorkspaceErrorResponse(serializers.Serializer): + detail = serializers.CharField() + + +@extend_schema(tags=["workspace"]) +class WorkspaceListView(APIView): + """S3 listing scoped to a prefix; returns folders+files for a tree view.""" + + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated] + serializer_class = WorkspaceListingSerializer + + @extend_schema( + parameters=[OpenApiParameter("prefix", str, OpenApiParameter.QUERY)], + responses={200: WorkspaceListingSerializer, 503: WorkspaceErrorResponse}, + ) + def get(self, request) -> Response: + prefix = request.query_params.get("prefix", "") + bucket = settings.BUCKET_NAME + if not bucket: + return Response( + {"detail": "S3 bucket not configured."}, + status=status.HTTP_503_SERVICE_UNAVAILABLE, + ) + resp = settings.S3_CLIENT.list_objects_v2(Bucket=bucket, Prefix=prefix, Delimiter="/") + folders = [ + {"name": p["Prefix"].rstrip("/").split("/")[-1], "prefix": p["Prefix"]} + for p in resp.get("CommonPrefixes", []) + ] + files = [ + { + "key": obj["Key"], + "size": obj["Size"], + "last_modified": obj["LastModified"].isoformat(), + } + for obj in resp.get("Contents", []) + ] + return Response(WorkspaceListingSerializer({"folders": folders, "files": files}).data) + + +@extend_schema(tags=["workspace"]) +class WorkspacePresignedView(APIView): + """Generate a fresh presigned URL for a single S3 object key.""" + + authentication_classes = [OsmAuthentication] + permission_classes = [IsAuthenticated] + serializer_class = WorkspacePresignedSerializer + + @extend_schema( + parameters=[OpenApiParameter("key", str, OpenApiParameter.QUERY, required=True)], + responses={ + 200: WorkspacePresignedSerializer, + 400: WorkspaceErrorResponse, + 503: WorkspaceErrorResponse, + }, + ) + def get(self, request) -> Response: + key = request.query_params.get("key") + if not key: + return Response( + {"detail": "Missing 'key' query parameter."}, + status=status.HTTP_400_BAD_REQUEST, + ) + bucket = settings.BUCKET_NAME + if not bucket: + return Response( + {"detail": "S3 bucket not configured."}, + status=status.HTTP_503_SERVICE_UNAVAILABLE, + ) + url = settings.S3_CLIENT.generate_presigned_url( + "get_object", + Params={"Bucket": bucket, "Key": key}, + ExpiresIn=settings.PRESIGNED_URL_EXPIRY, + ) + return Response( + WorkspacePresignedSerializer( + {"url": url, "expires_in": settings.PRESIGNED_URL_EXPIRY} + ).data + ) diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml deleted file mode 100644 index 5aca6beba..000000000 --- a/docker-compose.dev.yml +++ /dev/null @@ -1,143 +0,0 @@ -name: fair - -x-common-env: &common-env - env_file: - - .env.dev - -x-common-volumes: &common-volumes - volumes: - - ./fair-app-data/log:/app/log - - ./fair-app-data/ramp:/ramp - - ./fair-app-data/trainings:/trainings - - ./backend/core:/app/core - - ./backend/login:/app/login - - ./backend/fairproject:/app/fairproject - - ./backend/api_static:/app/api_static - -services: - postgres: - <<: *common-env - image: postgis/postgis:17-3.5-alpine - container_name: fair-postgres - environment: - POSTGRES_DB: ${POSTGRES_DB:-ai} - POSTGRES_USER: ${POSTGRES_USER:-postgres} - POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-admin} - volumes: - - ./fair-app-data/postgres:/var/lib/postgresql/data - ports: - - "5434:5432" - networks: - - fair-network - healthcheck: - test: ["CMD-SHELL", "pg_isready -U postgres"] - interval: 10s - timeout: 5s - retries: 5 - - redis: - <<: *common-env - image: redis:8-alpine - container_name: fair-redis - volumes: - - ./fair-app-data/redis:/data - ports: - - "6378:6379" - networks: - - fair-network - healthcheck: - test: ["CMD", "redis-cli", "ping"] - interval: 10s - timeout: 5s - retries: 5 - - api: - <<: [*common-env, *common-volumes] - build: - context: ./backend - dockerfile: Dockerfile.API - args: - BUILD_TARGET: predictor - container_name: fair-api - command: python manage.py runserver_with_q 0.0.0.0:8000 - ports: - - "8200:8000" - depends_on: - postgres: - condition: service_healthy - redis: - condition: service_healthy - networks: - - fair-network - - worker-cpu: - <<: [*common-env, *common-volumes] - profiles: ["cpu"] - build: - context: ./backend - dockerfile: Dockerfile.workers - args: - BUILD_TYPE: cpu - container_name: fair-worker-cpu - command: watchmedo auto-restart -d /app -p '*.py' --recursive -- celery -A fairproject worker --loglevel=INFO --concurrency=1 -Q ramp_training,yolo_training - depends_on: - - api - networks: - - fair-network - - worker-gpu: - <<: [*common-env, *common-volumes] - profiles: ["gpu"] - build: - context: ./backend - dockerfile: Dockerfile.workers - args: - BUILD_TYPE: gpu - container_name: fair-worker-gpu - command: watchmedo auto-restart -d /app -p '*.py' --recursive -- celery -A fairproject worker --loglevel=INFO --concurrency=1 -Q ramp_training,yolo_training --pool=solo - depends_on: - - api - networks: - - fair-network - deploy: - resources: - reservations: - devices: - - driver: nvidia - capabilities: [gpu] - - predictor: - <<: [*common-env, 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${ENV_FILE:-.env.production} - -x-common-volumes: &common-volumes - volumes: - - ${LOG_PATH:-/opt/fAIr-app/data/log}:${LOG_PATH:-/opt/fAIr-app/data/log} - - ${RAMP_HOME:-/opt/fAIr-app/data/ramp}:${RAMP_HOME:-/opt/fAIr-app/data/ramp} - - ${TRAINING_WORKSPACE:-/opt/fAIr-app/data/trainings}:${TRAINING_WORKSPACE:-/opt/fAIr-app/data/trainings} - - ${BASEMODELS_PATH:-/opt/fAIr-app/data/basemodels}:${BASEMODELS_PATH:-/opt/fAIr-app/data/basemodels} - -services: - postgres: - <<: *common-env - image: postgis/postgis:17-3.5 - platform: linux/amd64 - container_name: pgsql - restart: always - environment: - POSTGRES_DB: ${POSTGRES_DB:-ai} - POSTGRES_USER: ${POSTGRES_USER:-postgres} - POSTGRES_PASSWORD: ${POSTGRES_PASSWORD} - volumes: - - pgdata:/var/lib/postgresql/data - ports: - - "127.0.0.1:5434:5432" - networks: - - backend-network - healthcheck: - test: ["CMD-SHELL", "pg_isready -U postgres"] - interval: 10s - timeout: 5s - retries: 5 - - redis: - <<: *common-env - image: redis:8-alpine - platform: linux/amd64 - container_name: redis - restart: always - command: redis-server --appendonly yes - volumes: - - redisdata:/data - ports: - - "127.0.0.1:6378:6379" - networks: - - backend-network - healthcheck: - test: ["CMD", "redis-cli", "ping"] - interval: 10s - timeout: 5s - retries: 5 - - backend-api: - <<: [*common-env, *common-volumes] - image: ghcr.io/hotosm/fair-api:${TAG:-latest} - platform: linux/amd64 - container_name: api - restart: always - command: gunicorn --bind 0.0.0.0:8000 --workers 3 fairproject.wsgi:application - ports: - - "8000:8000" - depends_on: - redis: - condition: service_healthy - postgres: - condition: service_healthy - networks: - - backend-network - healthcheck: - test: - - CMD-SHELL - - > - python -c "import sys, requests; r = requests.get('http://127.0.0.1:8000/api/'); print(r); sys.exit(0 if r.status_code==200 else 1)" - interval: 30s - retries: 2 - - backend-api-django-q: - <<: [*common-env, *common-volumes] - image: ghcr.io/hotosm/fair-api:${TAG:-latest} - platform: linux/amd64 - container_name: api-django-q - restart: always - command: python manage.py qcluster - depends_on: - redis: - condition: service_healthy - postgres: - condition: service_healthy - backend-api: - condition: service_healthy - networks: - - backend-network - deploy: - resources: - limits: - cpus: "2" - memory: 2G - - backend-worker-cpu: - <<: [*common-env, *common-volumes] - profiles: ["cpu"] - image: ghcr.io/hotosm/fair-worker:${TAG:-latest}-cpu - platform: linux/amd64 - container_name: worker-cpu - restart: always - command: celery -A fairproject worker --loglevel=INFO --pool=threads --concurrency=1 -Q ramp_training,yolo_training - depends_on: - backend-api: - condition: service_healthy - redis: - condition: service_healthy - postgres: - condition: service_healthy - networks: - - backend-network - deploy: - resources: - limits: - cpus: "2" - memory: 4G - - backend-worker-gpu: - <<: [*common-env, *common-volumes] - profiles: ["gpu"] - image: ghcr.io/hotosm/fair-worker:${TAG:-latest}-gpu - platform: linux/amd64 - container_name: worker-gpu - restart: always - command: celery -A fairproject worker --loglevel=INFO --pool=threads --concurrency=1 -Q ramp_training,yolo_training --max-tasks-per-child 1000 -n worker-gpu@%h - depends_on: - backend-api: - condition: service_healthy - redis: - condition: service_healthy - postgres: - condition: service_healthy - networks: - - backend-network - deploy: - resources: - reservations: - devices: - - driver: nvidia - count: 1 - capabilities: [gpu] - limits: - memory: 8G - - prediction-worker: - <<: [*common-env, *common-volumes] - image: ghcr.io/hotosm/fair-offline-predictor:${TAG:-latest} - platform: linux/amd64 - container_name: prediction-worker - restart: always - command: celery -A fairproject worker --loglevel=INFO --concurrency=1 -Q predictions --max-tasks-per-child 1000 -n prediction-worker@%h - depends_on: - backend-api: - condition: service_healthy - redis: - condition: service_healthy - postgres: - condition: service_healthy - networks: - - backend-network - deploy: - resources: - limits: - cpus: "2" - memory: 4G - - flower: - <<: *common-env - image: mher/flower:2.0.1 - platform: linux/amd64 - container_name: flower - restart: always - command: celery --broker=redis://${REDIS_HOST:-redis}:${REDIS_PORT:-6379}/0 flower --address=0.0.0.0 --port=5000 --basic_auth=${FLOWER_USER:-admin}:${FLOWER_PASSWORD:-admin} - ports: - - "5000:5000" - networks: - - backend-network - depends_on: - backend-api: - condition: service_healthy - profiles: - - cpu - - gpu - -networks: - backend-network: - driver: bridge - -volumes: - pgdata: - driver: local - driver_opts: - type: none - o: bind - device: ${POSTGRES_DATA:-/opt/fAIr-app/data/postgres} - redisdata: - driver: local - driver_opts: - type: none - o: bind - device: ${REDIS_DATA:-/opt/fAIr-app/data/redis} \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 000000000..76b4e769e --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,56 @@ +services: + postgres: + image: postgis/postgis:17-3.5-alpine + environment: + POSTGRES_USER: ${POSTGRES_USER:-admin} + POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-password} + POSTGRES_DB: ${POSTGRES_DB:-fair} + ports: + - "${POSTGRES_PORT:-5434}:5432" + volumes: + - postgres_data:/var/lib/postgresql/data + healthcheck: + test: ["CMD", "pg_isready", "-U", "${POSTGRES_USER:-admin}"] + interval: 5s + timeout: 3s + retries: 10 + + api: + build: + context: ./backend + env_file: + - ./backend/.env + ports: + - "${API_PORT:-8000}:8000" + depends_on: + postgres: + condition: service_healthy + volumes: + - ./backend:/app + command: ["python", "manage.py", "runserver", "0.0.0.0:8000"] + + worker: + build: + context: ./backend + env_file: + - ./backend/.env + depends_on: + postgres: + condition: service_healthy + volumes: + - ./backend:/app + command: ["python", "manage.py", "db_worker"] + + frontend: + profiles: ["dev"] + build: + context: ./frontend + dockerfile: Dockerfile.dev + ports: + - "${FRONTEND_PORT:-3500}:3000" + volumes: + - ./frontend:/app + - /app/node_modules + +volumes: + postgres_data: diff --git a/docs/Docker-installation.md b/docs/Docker-installation.md index c2573b61d..e57352427 100644 --- a/docs/Docker-installation.md +++ b/docs/Docker-installation.md @@ -1,112 +1,47 @@ -# fAIr Development Setup with Docker +# fAIr Development Setup ## Prerequisites - Docker Desktop or Docker Engine + Docker Compose - Git -- 4GB+ RAM (8GB+ for GPU training) +- 4GB+ RAM +- A running fair-py-ops dev stack (kind cluster + ZenML + STAC API + MinIO + MLflow).( TODO : Add a single command up to set everything up) -## Quick Start +## Quick start ```bash git clone https://github.com/hotosm/fAIr.git cd fAIr -./setup.sh +docker compose up postgres -d +cp backend/.env.example backend/.env +# fill in real values, see backend/README.md for which vars are required +docker compose up api worker ``` -GPU profile: +The `frontend` service runs under the `dev` profile (`docker compose --profile dev up frontend`). -```bash -./setup.sh gpu -``` - -## Manual Setup - -```bash -git clone https://github.com/hotosm/fAIr.git -cd fAIr -make init -make init PROFILE=gpu -``` - -## Access - -- Frontend: -- API: -- API Docs: - -## Configuration - -On first run, `.env.dev` is created from `.env.dev.example`. Update it for: - -- OpenStreetMap OAuth (`OSM_CLIENT_ID`, `OSM_CLIENT_SECRET`) -- Email settings -- Frontend URL - -Default ports (edit `docker-compose.dev.yml` if needed): +## Default ports - 3500: Frontend -- 8200: API -- 5434: PostgreSQL -- 6378: Redis - -## Common Commands - -```bash -make up -make down -make restart -make status -make logs -make logs api -make migrate -make superuser -make collectstatic -make shell -make clean -``` - -## Troubleshooting - -Logs: - -```bash -make logs api -make logs frontend -make logs postgres -``` - -Reset: - -```bash -make clean -./setup.sh -``` +- 8000: API +- 5434: PostgreSQL (host) -Ports in use: edit `docker-compose.dev.yml` and change port mappings. +## Endpoints -Build cache issues: - -```bash -docker compose -f docker-compose.dev.yml build --no-cache -``` - -## GPU Support - -Install NVIDIA Container Toolkit, then: +- Frontend: +- API root: +- OpenAPI schema: +- Swagger UI: +- ReDoc: +- Health probes: -```bash -./setup.sh gpu -make init PROFILE=gpu -``` +All v1 routes are under `/api/v1/`. Versioning uses DRF `NamespaceVersioning`, so `request.version` is set per request and `/api/v2/` is one URL line away when needed. -## Next Steps +## Configuration -- Create admin user: `make superuser` -- Open frontend: -- Use API docs: +`backend/.env` is read by `pydantic-settings`. Required vars raise at boot if missing. See [backend/README.md](../backend/README.md) for a concise overview and `backend/.env.example` for the annotated source of truth. ## Help -- [docs](../docs) +- [Backend docs](../backend/README.md) - diff --git a/manage.sh b/manage.sh deleted file mode 100644 index f5f9eb796..000000000 --- a/manage.sh +++ /dev/null @@ -1,294 +0,0 @@ -#!/bin/bash - -GREEN='\033[0;32m' -RED='\033[0;31m' -YELLOW='\033[0;33m' -BLUE='\033[0;34m' -NC='\033[0m' - -APP_DIR="${APP_DIR:-/opt/fAIr-app}" -DATA_DIR="${DATA_DIR:-/opt/fAIr-app/data}" -RAMP_DIR="${RAMP_HOME:-/opt/fAIr-app/data/ramp}" -TRAINING_DIR="${TRAINING_WORKSPACE:-/opt/fAIr-app/data/trainings}" -POSTGRES_DATA_DIR="${POSTGRES_DATA:-/opt/fAIr-app/data/postgres}" -REDIS_DATA_DIR="${REDIS_DATA:-/opt/fAIr-app/data/redis}" -LOG_PATH_DIR="${LOG_PATH:-/opt/fAIr-app/data/logs}" -ENV_FILE="$APP_DIR/.env.production" -COMPOSE_FILE="$APP_DIR/docker-compose.prod.yml" -SERVICE_NAME="fAIr-app.service" -PROFILE="${PROFILE:-gpu}" -USER_NAME="${SUDO_USER:-$USER}" -GROUP_NAME="${SUDO_USER:-$USER}" - -command_exists() { - command -v "$1" &> /dev/null -} - -check_privileges() { - if [ "$EUID" -ne 0 ]; then - echo -e "${RED}Please run as root or with sudo${NC}" - exit 1 - fi -} - -load_env() { - if [ -f "$ENV_FILE" ]; then - export $(grep -v '^#' "$ENV_FILE" | xargs) - fi -} - -ensure_directories() { - for dir in "$APP_DIR" "$DATA_DIR" "$RAMP_DIR" "$TRAINING_DIR" "$POSTGRES_DATA_DIR" "$REDIS_DATA_DIR" "$LOG_PATH_DIR"; do - if [ ! -d "$dir" ]; then - mkdir -p "$dir" - fi - chown -R $USER_NAME:$GROUP_NAME "$dir" - done -} - -setup() { - echo -e "${GREEN}Setting up fAIr application...${NC}" - - for cmd in docker docker-compose; do - if ! command_exists "$cmd"; then - echo -e "${RED}Error: $cmd is not installed${NC}" - exit 1 - fi - done - - ensure_directories - if [ -f "docker-compose.prod.yml" ]; then - cp docker-compose.prod.yml $COMPOSE_FILE - fi - -} - -start() { - check_privileges - systemctl start $SERVICE_NAME - sleep 5 - status - - initialize_app -} - -initialize_app() { - run_migrations - - if [ $? -ne 0 ]; then - return 1 - fi - - docker exec -d api bash -c "gunicorn fairproject.wsgi:application --bind 0.0.0.0:8000 --workers=4 --timeout=120" - - docker exec api bash -c "touch /app/ready" -} - -run_migrations() { - docker exec api bash -c "python manage.py makemigrations" || { - docker logs api --tail 50; - return 1; - } - - docker exec api bash -c "python manage.py makemigrations login" || echo -e "${YELLOW}No changes in login app${NC}" - docker exec api bash -c "python manage.py makemigrations core" || echo -e "${YELLOW}No changes in core app${NC}" - - docker exec api bash -c "python manage.py migrate" || { - docker logs api --tail 50; - return 1; - } - - return 0 -} - -stop() { - check_privileges - - systemctl stop $SERVICE_NAME -} - -restart() { - check_privileges - - stop - - start -} - -status() { - systemctl status $SERVICE_NAME --no-pager || true - - docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" | grep -E "(pgsql|redis|api|worker|flower)" -} - -logs() { - local service=$1 - - if [ -z "$service" ]; then - docker compose -f $COMPOSE_FILE logs --tail=100 -f - else - docker compose -f $COMPOSE_FILE logs --tail=100 -f $service - fi -} - -services() { - docker compose -f $COMPOSE_FILE config --services -} - -migrations() { - check_privileges - - if ! docker ps | grep -q "api"; then - return 1 - fi - - run_migrations -} - -createsuperuser() { - check_privileges - - if ! docker ps | grep -q "api"; then - return 1 - fi - - docker exec -it api bash -c "python manage.py createsuperuser" -} - -backup() { - check_privileges - local backup_dir="/opt/backups/fAIr-$(date +%Y%m%d-%H%M%S)" - - mkdir -p $backup_dir - - docker exec pgsql pg_dump -U postgres ai > "$backup_dir/database.sql" - - cp $ENV_FILE "$backup_dir/.env.production" - cp $COMPOSE_FILE "$backup_dir/docker-compose.prod.yml" - - if docker exec api bash -c "ls -la /app/*/migrations/*.py" &>/dev/null; then - mkdir -p "$backup_dir/migrations" - docker exec api bash -c "tar -czvf - /app/*/migrations/" > "$backup_dir/migrations.tar.gz" - fi - - cat > "$backup_dir/backup-info.txt" </dev/null || echo "unknown") -EOF - -} - -update() { - check_privileges - - docker compose -f $COMPOSE_FILE --env-file $ENV_FILE --profile $PROFILE pull - - systemctl restart $SERVICE_NAME - - sleep 3 - status - - read -p "Do you want to run database migrations after the update? (y/n) " -n 1 -r - echo - if [[ $REPLY =~ ^[Yy]$ ]]; then - migrations - fi -} - -show_help() { - echo -e "Usage: $0 [options] command" - echo -e "" - echo -e "Options:" - echo -e " ${BLUE}-p, --profile${NC} - Set profile (cpu|gpu), default: gpu" - echo -e " ${BLUE}-d, --dir${NC} - Set base directory, default: /opt/fAIr-app" - echo -e "" - echo -e "Commands:" - echo -e " ${GREEN}setup${NC} - Set up the application" - echo -e " ${GREEN}start${NC} - Start the application" - echo -e " ${GREEN}stop${NC} - Stop the application" - echo -e " ${GREEN}restart${NC} - Restart the application" - echo -e " ${GREEN}status${NC} - Check application status" - echo -e " ${GREEN}logs [service]${NC} - View application logs (optionally specify a service name)" - echo -e " ${GREEN}services${NC} - List available services" - echo -e " ${GREEN}migrations${NC} - Run Django database migrations" - echo -e " ${GREEN}createsuperuser${NC} - Create a Django superuser account" - echo -e " ${GREEN}backup${NC} - Create a backup of the application" - echo -e " ${GREEN}update${NC} - Update the application images" - echo -e "" - echo -e "Examples:" - echo -e " ${YELLOW}$0 setup${NC} - Set up the application" - echo -e " ${YELLOW}$0 -p cpu start${NC} - Start with CPU profile" - echo -e " ${YELLOW}$0 migrations${NC} - Run database migrations" - echo -e " ${YELLOW}$0 services${NC} - List available services" - echo -e " ${YELLOW}$0 logs api${NC} - View logs for backend API" -} - -while [[ "$#" -gt 0 ]]; do - case $1 in - -p|--profile) - PROFILE="$2" - if [[ "$PROFILE" != "cpu" && "$PROFILE" != "gpu" ]]; then - echo -e "${RED}Invalid profile. Use 'cpu' or 'gpu'${NC}" - exit 1 - fi - shift 2 - ;; - -d|--dir) - APP_DIR="$2" - DATA_DIR="$APP_DIR/data" - ENV_FILE="$APP_DIR/.env.production" - COMPOSE_FILE="$APP_DIR/docker-compose.prod.yml" - shift 2 - ;; - *) - break - ;; - esac -done - -load_env - -case "$1" in - setup) - setup - ;; - start) - start - ;; - stop) - stop - ;; - restart) - restart - ;; - status) - status - ;; - logs) - logs $2 - ;; - services) - services - ;; - migrations) - migrations - ;; - createsuperuser) - createsuperuser - ;; - backup) - backup - ;; - update) - update - ;; - *) - show_help - exit 0 - ;; -esac - -exit 0 \ No newline at end of file diff --git a/setup.sh b/setup.sh deleted file mode 100644 index 0a266304a..000000000 --- a/setup.sh +++ /dev/null @@ -1,75 +0,0 @@ -#!/usr/bin/env bash -set -e - -echo "Setup" - -if ! command -v docker &> /dev/null; then - echo "Docker is not installed. Please install Docker first." - echo "See: https://docs.docker.com/get-docker/" - exit 1 -fi - -if ! docker compose version &> /dev/null; then - echo "Docker Compose is not available. Please install Docker Compose." - exit 1 -fi - -PROFILE="${1:-cpu}" -if [[ "$PROFILE" != "cpu" && "$PROFILE" != "gpu" ]]; then - echo "Invalid profile. Use 'cpu' or 'gpu'" - echo "Usage: ./setup.sh [cpu|gpu]" - exit 1 -fi - -echo "Profile: $PROFILE" - -if [ ! -f .env.dev ]; then - echo "Creating .env.dev" - cp .env.dev.example .env.dev - echo "Created .env.dev. Update it with your OSM credentials." -fi - -echo "Creating data directories" -mkdir -p fair-app-data/{log,ramp,trainings,postgres,redis} -echo "Data directories created" - -echo "Building images" -docker compose -f docker-compose.dev.yml build api frontend predictor -docker compose -f docker-compose.dev.yml --profile "$PROFILE" build -echo "Images built" - -echo "Stopping containers" -docker compose -f docker-compose.dev.yml down --remove-orphans 2>/dev/null || true - -echo "Starting PostgreSQL and Redis" -docker compose -f docker-compose.dev.yml up -d postgres redis -echo "Waiting for database" -sleep 10 -echo "Database and Redis are ready" - -echo "Running migrations" -docker compose -f docker-compose.dev.yml run --rm api python manage.py migrate -echo "Migrations completed" - -echo "Collecting static files" -docker compose -f docker-compose.dev.yml run --rm api python manage.py collectstatic --noinput -echo "Static files collected" - -echo "Starting services" -docker compose -f docker-compose.dev.yml --profile "$PROFILE" up -d - -echo "Done" -echo "Access" -echo " Frontend: http://localhost:3500" -echo " API: http://localhost:8200/api" -echo " API Docs: http://localhost:8200/api/swagger" -echo "Logs" -echo " make logs" -echo " make logs SERVICE=api" -echo "Other commands" -echo " make down" -echo " make restart" -echo " make superuser" -echo " make shell" -echo " make clean" -echo "Tip: Edit .env.dev for OSM credentials and settings" \ No newline at end of file