diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index 713c9cf9d0..25a077a630 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -108,10 +108,13 @@ Examples: `scatter-basic`, `scatter-color-mapped`, `bar-grouped-horizontal`, `he - **`plots/{spec-id}/`**: Plot-centric directories (spec + metadata + implementations) - **`prompts/`**: AI agent prompts for code generation and quality evaluation -- **`core/`**: Shared business logic (database, repositories, config) +- **`core/`**: Shared business logic (database, repositories, config, utils, images) - **`core/database/types.py`**: Custom SQLAlchemy types (PostgreSQL + SQLite compatibility) -- **`api/`**: FastAPI backend (routers, schemas, dependencies) -- **`app/`**: React frontend (React 19 + TypeScript + Vite 7 + MUI 7) + - **`core/database/repositories.py`**: Data access layer +- **`api/`**: FastAPI backend (routers, schemas, dependencies, cache, analytics, MCP server) +- **`app/`**: React frontend (React 19 + TypeScript 5 + Vite 7 + MUI 7) +- **`agentic/`**: AI workflow layer (composable phases, prompt templates, runtime state) +- **`automation/`**: CI/CD helper scripts (workflow_cli, label_manager, sync_to_postgres) - **`tests/unit/`**: Unit tests with mocked dependencies - **`tests/integration/`**: Integration tests with SQLite in-memory database - **`tests/e2e/`**: End-to-end tests with full FastAPI stack @@ -210,10 +213,10 @@ plt.savefig('plot.png', dpi=300, bbox_inches='tight') ## Tech Stack -- **Backend**: FastAPI, SQLAlchemy (async), PostgreSQL, Python 3.10+ -- **Frontend**: React 19, TypeScript, Vite 7, MUI 7 +- **Backend**: FastAPI, SQLAlchemy (async), PostgreSQL, Python 3.14+ +- **Frontend**: React 19, TypeScript 5, Vite 7, MUI 7 - **Package Manager**: uv (Python), yarn (Node.js) -- **Linting**: Ruff (Python) +- **Linting**: Ruff (Python), ESLint (TypeScript) ## Deployment diff --git a/.github/workflows/ci-lint.yml b/.github/workflows/ci-lint.yml index 689fa4337f..191afd463b 100644 --- a/.github/workflows/ci-lint.yml +++ b/.github/workflows/ci-lint.yml @@ -55,7 +55,7 @@ jobs: if: steps.check.outputs.should_lint == 'true' uses: actions/setup-python@v6 with: - python-version: '3.13' + python-version: '3.14' - name: Install uv if: steps.check.outputs.should_lint == 'true' diff --git a/.github/workflows/ci-tests.yml b/.github/workflows/ci-tests.yml index e6f9183b7c..6677c0cee6 100644 --- a/.github/workflows/ci-tests.yml +++ b/.github/workflows/ci-tests.yml @@ -75,7 +75,7 @@ jobs: if: steps.check.outputs.should_test == 'true' uses: actions/setup-python@v6 with: - python-version: '3.13' + python-version: '3.14' - name: Install uv if: steps.check.outputs.should_test == 'true' diff --git a/.github/workflows/impl-generate.yml b/.github/workflows/impl-generate.yml index d835ec0f3d..0c57c04ada 100644 --- a/.github/workflows/impl-generate.yml +++ b/.github/workflows/impl-generate.yml @@ -185,7 +185,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v6 with: - python-version: '3.13' + python-version: '3.14' - name: Install uv uses: astral-sh/setup-uv@v7 diff --git a/.github/workflows/impl-repair.yml b/.github/workflows/impl-repair.yml index f9d235e067..21a455a68c 100644 --- a/.github/workflows/impl-repair.yml +++ b/.github/workflows/impl-repair.yml @@ -63,7 +63,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v6 with: - python-version: '3.13' + python-version: '3.14' - name: Install uv uses: astral-sh/setup-uv@v7 diff --git a/.github/workflows/sync-postgres.yml b/.github/workflows/sync-postgres.yml index bb23f60914..e9f034be70 100644 --- a/.github/workflows/sync-postgres.yml +++ b/.github/workflows/sync-postgres.yml @@ -34,7 +34,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v6 with: - python-version: '3.13' + python-version: '3.14' - name: Install uv uses: astral-sh/setup-uv@v7 diff --git a/.serena/memories/code_style.md b/.serena/memories/code_style.md index 7a51b8709f..e068f362eb 100644 --- a/.serena/memories/code_style.md +++ b/.serena/memories/code_style.md @@ -1,80 +1,64 @@ # Code Style and Conventions -## Python Style (API, Core, Tests) -- **Linter/Formatter**: Ruff (enforces PEP 8) -- **Line Length**: 120 characters +## Python (API, Core, Tests) +- **Linter/Formatter**: Ruff (line-length=120, target=py314) +- **Rules**: E, F, W, I, C, B (ignores E501, C901, B008) +- **Excludes**: plots/, scripts/, .git, .venv, __pycache__, dist, temp - **Type Hints**: Required for all functions -- **Docstrings**: Google style for all public functions -- **Import Order**: Standard library → Third-party → Local - -### Example (for API/core code): -```python -def get_spec_by_id(spec_id: str, db: Session) -> Spec: - """ - Retrieve a spec by its ID. - - Args: - spec_id: The unique spec identifier - db: Database session - - Returns: - Spec object if found - - Raises: - NotFoundError: If spec doesn't exist - """ - pass -``` +- **Docstrings**: Google style for public functions +- **Import Order**: stdlib → third-party → local (enforced by ruff I) +- **Async**: SQLAlchemy async, pytest-asyncio (auto mode) + +## TypeScript (Frontend) +- **Linter**: ESLint 10 with typescript-eslint +- **Strict mode**: Enabled in tsconfig +- **Target**: ES2020, bundler module resolution +- **Path alias**: `@/` → `./src/` +- **Components**: PascalCase files (e.g., `PlotCard.tsx`), function components only +- **Hooks**: camelCase with `use` prefix (e.g., `useSpecs.ts`) +- **Utils/Types**: camelCase files (e.g., `api.ts`) +- **Exports**: Named exports (no default exports) +- **Styling**: MUI `sx` prop + Emotion `styled()`, no CSS modules +- **State**: Local state + custom hooks (no Redux/Zustand) +- **API calls**: Plain `fetch()` in `utils/api.ts` + +## Agentic Layer Conventions +- **Script headers**: uv inline script metadata (dependencies declared in-file) +- **CLI**: Click for all workflow scripts +- **Console output**: Rich library, stderr for UI, stdout for state JSON +- **State**: `WorkflowState` persisted at `agentic/runs/{run_id}/state.json` +- **Templates**: `agentic/commands/*.md` with `$1`, `$2`, `$ARGUMENTS` placeholders +- **Execution**: `prompt_claude_code_with_retry()` in `agent.py` +- **Data types**: `TestResult`, `ReviewResult`, `ReviewIssue` in `agent.py` +- **JSON parsing**: `parse_json()` handles markdown-fenced JSON from LLM output ## Plot Implementation Style (KISS) -Plot implementations should be simple, readable scripts - like matplotlib gallery examples: - ```python """ -scatter-basic: Basic Scatter Plot -Library: matplotlib +spec-id: Plot Title +Library: library-name """ - import matplotlib.pyplot as plt import numpy as np # Data np.random.seed(42) x = np.random.randn(100) -y = x * 0.8 + np.random.randn(100) * 0.5 # Plot fig, ax = plt.subplots(figsize=(16, 9)) -ax.scatter(x, y, alpha=0.7, s=50, color='#306998') - -ax.set_xlabel('X Value') -ax.set_ylabel('Y Value') -ax.set_title('Basic Scatter Plot') -ax.grid(True, alpha=0.3) - +ax.scatter(x, y) +ax.set_title('Title') plt.tight_layout() plt.savefig('plot.png', dpi=300, bbox_inches='tight') ``` - -### Plot Code Rules: -- No functions, no classes -- No `if __name__ == '__main__':` -- No type hints or docstrings (in plot code) -- Just: imports → data → plot → save +- No functions, no classes, no `if __name__` +- No type hints or docstrings in plot code +- Flow: imports → data → plot → save ## Naming Conventions - -### Spec IDs -Format: `{plot-type}-{variant}-{modifier}` (lowercase, hyphens only) -- `scatter-basic` - Simple 2D scatter plot -- `bar-grouped-horizontal` - Horizontal grouped bars -- `heatmap-correlation` - Correlation matrix heatmap - -### Files -- Implementation files: `{library}.py` (e.g., `matplotlib.py`) -- Metadata files: `{library}.yaml` - -## General Rules -- Always write in English -- Testing coverage target: 90%+ -- Test naming: `test_{what_it_does}` +- **Spec IDs**: `{plot-type}-{variant}-{modifier}` (lowercase, hyphens) +- **Implementation files**: `{library}.py` +- **Metadata files**: `{library}.yaml` +- **Test naming**: `test_{what_it_does}` +- **All output**: English only (comments, commits, docs, PRs) diff --git a/.serena/memories/commands.md b/.serena/memories/commands.md new file mode 100644 index 0000000000..6eb80b77df --- /dev/null +++ b/.serena/memories/commands.md @@ -0,0 +1,87 @@ +# Commands Reference + +## Development Setup +```bash +uv sync --all-extras # Install Python dependencies +cd app && yarn install # Install frontend dependencies +uv run alembic upgrade head # Run DB migrations +``` + +## Running Services +```bash +uv run uvicorn api.main:app --reload --port 8000 # Backend API +cd app && yarn dev # Frontend dev server +docker-compose up # All services +``` + +## Code Quality (REQUIRED before commits) +```bash +uv run ruff check # Lint check +uv run ruff check --fix # Auto-fix lint +uv run ruff format # Format code +cd app && yarn lint # Frontend lint +``` + +## Testing +```bash +uv run pytest # All tests +uv run pytest tests/unit # Unit tests only +uv run pytest tests/integration # Integration tests +uv run pytest --cov=. --cov-report=html # With coverage +uv run pytest tests/unit/api/test_routers.py::test_name # Specific test +``` + +## Database +```bash +uv run alembic upgrade head # Apply migrations +uv run alembic revision --autogenerate -m "description" # Create migration +uv run alembic current # Check current revision +``` + +## Frontend +```bash +cd app && yarn dev # Dev server +cd app && yarn build # Production build (tsc + vite) +cd app && yarn preview # Preview prod build +cd app && yarn lint # ESLint check +cd app && yarn type-check # TypeScript type check only +cd app && yarn test # Run vitest +cd app && yarn test:watch # Watch mode tests +``` + +## Agentic Workflows +```bash +# Individual phases (all use Click CLI) +uv run agentic/workflows/plan.py --spec-id --library +uv run agentic/workflows/build.py --run-id +uv run agentic/workflows/test.py --run-id +uv run agentic/workflows/review.py --run-id + +# Orchestrators +uv run agentic/workflows/plan_build.py --spec-id --library +uv run agentic/workflows/plan_build_test.py --spec-id --library +uv run agentic/workflows/plan_build_test_review.py --spec-id --library +``` + +## GitHub Actions (via gh CLI) +```bash +# Spec workflow +gh issue create --title "Plot Name" --label "spec-request" --body "Description" +# After review: add 'approved' label to ISSUE (not PR!) + +# Implementation workflow +gh workflow run bulk-generate.yml -f specification_id= -f library=all + +# Monitor +gh run list --workflow=impl-generate.yml +gh run list --workflow=impl-review.yml +gh run list --workflow=impl-merge.yml + +# Sync to DB +gh workflow run sync-postgres.yml +``` + +## Important Notes +- Use `uv run` for all Python commands (no system python) +- Use `yarn` (not npm) for frontend +- Never manually merge impl PRs - let `impl-merge.yml` handle it diff --git a/.serena/memories/directory_structure.md b/.serena/memories/directory_structure.md deleted file mode 100644 index 6c589602e3..0000000000 --- a/.serena/memories/directory_structure.md +++ /dev/null @@ -1,72 +0,0 @@ -# Directory Structure - -## Root Level -``` -pyplots/ -├── api/ # FastAPI backend -├── app/ # React frontend -├── core/ # Shared business logic -├── plots/ # Plot specifications and implementations (253 specs) -├── prompts/ # AI agent prompts (24 files) -├── tests/ # Test suite -├── docs/ # Documentation -├── automation/ # Automation scripts -├── alembic/ # Database migrations -├── .github/workflows/ # GitHub Actions (13 workflows) -└── scripts/ # Utility scripts -``` - -## Key Directories - -### `api/` - FastAPI Backend -- `main.py` - Application entry point -- `routers/` - API route handlers -- `schemas.py` - Pydantic models -- `dependencies.py` - Dependency injection -- `exceptions.py` - Error handlers - -### `core/` - Shared Logic -- `config.py` - Configuration management -- `constants.py` - Project constants -- `database/` - Database models and connection -- `generators/` - Code generation utilities -- `images.py` - Image processing - -### `app/src/` - React Frontend -- `components/` - React components -- `pages/` - Page components -- `hooks/` - Custom React hooks -- `types/` - TypeScript types -- `utils/` - Utility functions - -### `plots/{spec-id}/` - Plot-Centric Design -``` -plots/{specification-id}/ -├── specification.md # Library-agnostic description -├── specification.yaml # Spec metadata (tags, created, issue) -├── metadata/ # Per-library metadata -│ ├── matplotlib.yaml -│ ├── seaborn.yaml -│ └── ... -└── implementations/ # Library implementations - ├── matplotlib.py - ├── seaborn.py - └── ... -``` - -### `prompts/` - AI Prompts -- `plot-generator.md` - Base rules for implementations -- `library/*.md` - Library-specific rules (9 files) -- `quality-criteria.md` - Quality definition -- `quality-evaluator.md` - AI quality evaluation -- `spec-validator.md` - Spec validation -- `templates/` - Spec and metadata templates - -### `.github/workflows/` - Automation -- `spec-create.yml` - Create new specifications -- `impl-generate.yml` - Generate implementations -- `impl-review.yml` - AI quality review -- `impl-repair.yml` - Fix rejected implementations -- `impl-merge.yml` - Merge approved PRs -- `bulk-generate.yml` - Batch generation -- `sync-postgres.yml` - Database sync diff --git a/.serena/memories/project_overview.md b/.serena/memories/project_overview.md index 5b24d8fce3..847a32c9c4 100644 --- a/.serena/memories/project_overview.md +++ b/.serena/memories/project_overview.md @@ -1,32 +1,114 @@ # pyplots - Project Overview ## Purpose -**pyplots** is an AI-powered platform for Python data visualization that automatically discovers, generates, tests, and maintains plotting examples across 9 major libraries. +**pyplots** is an AI-powered platform for Python data visualization that automatically discovers, generates, tests, and maintains plotting examples across 9 major libraries. Community proposes plot ideas via GitHub Issues → AI generates code → AI quality review → Deployed. -## Core Principle -Community proposes plot ideas via GitHub Issues → AI generates code → AI quality review → Deployed - -## Supported Libraries (9 total) -- **matplotlib** - The classic standard, maximum flexibility -- **seaborn** - Statistical visualizations, beautiful defaults -- **plotly** - Interactive web plots, dashboards, 3D -- **bokeh** - Interactive, streaming data, large datasets -- **altair** - Declarative/Vega-Lite, elegant exploration -- **plotnine** - ggplot2 syntax for R users -- **pygal** - Minimalistic SVG charts -- **highcharts** - Interactive web charts (requires license for commercial use) -- **lets-plot** - ggplot2 grammar by JetBrains, interactive +## Supported Libraries (9) +matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, lets-plot ## Tech Stack -- **Backend**: Python 3.12+, FastAPI, SQLAlchemy async, asyncpg, PostgreSQL -- **Frontend**: React 19, Vite, TypeScript, MUI 7 -- **Package Manager**: uv (fast Python installer) -- **Infrastructure**: Google Cloud Run, Cloud SQL, Cloud Storage -- **AI**: Claude (code generation + quality review) -- **CI/CD**: GitHub Actions with label-driven triggers +- **Backend**: Python 3.14+, FastAPI, SQLAlchemy async, asyncpg, PostgreSQL +- **Frontend**: React 19, Vite 7, TypeScript 5, MUI 7, Emotion CSS-in-JS +- **Package Managers**: uv (Python), yarn (frontend) +- **Infrastructure**: Google Cloud Run, Cloud SQL, Cloud Storage (GCS) +- **AI**: Claude (code generation, quality review, spec creation) +- **CI/CD**: GitHub Actions (13 workflows, label-driven triggers) + +## Directory Structure +``` +pyplots/ +├── api/ # FastAPI backend +│ ├── main.py # App factory, CORS, lifespan +│ ├── routers/ # health, specs, libraries, images, plots, stats, +│ │ # download, proxy, seo, og_images, debug +│ ├── mcp/ # MCP server (server.py) +│ ├── schemas.py # Pydantic response models +│ ├── dependencies.py # DB session injection +│ ├── exceptions.py # HTTP error handlers +│ ├── cache.py # Caching layer +│ └── analytics.py # Analytics tracking +├── core/ # Shared business logic +│ ├── config.py # Settings (pydantic-settings) +│ ├── constants.py # SUPPORTED_LIBRARIES, quality thresholds +│ ├── images.py # GCS image handling +│ ├── utils.py # Shared utilities +│ ├── database/ +│ │ ├── connection.py # Async SQLAlchemy engine +│ │ ├── models.py # ORM models (Spec, Implementation, Tag) +│ │ ├── repositories.py # Data access layer +│ │ └── types.py # Custom types (PostgreSQL + SQLite compat) +│ └── generators/ +│ └── plot_generator.py # Plot code generation logic +├── app/ # React frontend +│ └── src/ +│ ├── components/ # 13 components (PlotCard, CodeBlock, FilterPanel, Header, Footer, etc.) +│ ├── pages/ # GalleryPage, SpecDetailPage, AboutPage +│ ├── hooks/ # useSpecs, useSpec, useLibraries, useDebounce, useMediaQuery, etc. +│ ├── types/ # TypeScript interfaces +│ ├── utils/ # api.ts (fetch-based API client) +│ └── theme.ts # MUI theme config +├── agentic/ # AI workflow layer +│ ├── workflows/ # Composable phase scripts (Click CLI, uv inline headers) +│ │ ├── plan.py, build.py, test.py, review.py # Individual phases +│ │ ├── plan_build.py, plan_build_test.py # Orchestrators +│ │ ├── plan_build_test_review.py # Full pipeline +│ │ └── modules/ # agent.py (execution, types), state.py (persistence) +│ ├── commands/ # 12 .md prompt templates ($1, $2, $ARGUMENTS vars) +│ ├── specs/ # quality-criteria.md, code-conventions.md +│ ├── docs/ # project-guide.md +│ └── runs/ # Runtime state (gitignored) +├── automation/ # CI/CD helper scripts +│ └── scripts/ # workflow_cli.py, label_manager.py, sync_to_postgres.py, workflow_utils.py +├── plots/ # 267 specifications (plot-centric design) +│ └── {spec-id}/ +│ ├── specification.md # Library-agnostic description +│ ├── specification.yaml # Tags, metadata +│ ├── implementations/ # {library}.py files +│ └── metadata/ # {library}.yaml files +├── prompts/ # AI prompt files +│ ├── plot-generator.md, quality-*.md, spec-*.md, impl-tags-generator.md +│ ├── default-style-guide.md # Default visual style rules +│ ├── library/ # 9 library-specific rule files +│ ├── templates/ # spec/metadata YAML/MD templates +│ └── workflow-prompts/ # ai-quality-review.md, impl-generate-claude.md, +│ # impl-repair-claude.md, report-analysis.md +├── tests/ # pytest suite +│ ├── conftest.py # Shared fixtures +│ ├── unit/ +│ │ ├── api/ # test_routers, test_cache, test_analytics, test_proxy, mcp/ +│ │ ├── core/ # test_config, test_constants, test_images, test_types, test_utils +│ │ ├── agentic/ # test_state, test_template, test_agent_*, test_orchestrator* +│ │ ├── automation/ # test_label_manager, test_sync_to_postgres, test_workflow_* +│ │ ├── workflows/ # test_workflows +│ │ └── prompts/ # test_prompts +│ ├── integration/ # test_repositories, api/test_api_endpoints +│ └── e2e/ # test_api_postgres (requires DATABASE_URL) +├── docs/ # contributing, development, reference/, workflows/, concepts/ +├── alembic/ # DB migrations (async engine) +├── .github/workflows/ # 13 GitHub Actions workflows +└── docker-compose.yml # API + PostgreSQL + frontend +``` + +## GitHub Actions Workflows (13) +| Workflow | Purpose | +|----------|---------| +| `spec-create.yml` | Creates specs from issues labeled `spec-request` | +| `impl-generate.yml` | Generates implementation for one spec+library | +| `impl-review.yml` | AI quality review of implementations | +| `impl-repair.yml` | Fixes rejected implementations (max 3 attempts) | +| `impl-merge.yml` | Merges approved PRs, creates metadata, promotes GCS | +| `bulk-generate.yml` | Batch generation for multiple specs/libraries | +| `report-validate.yml` | Validates user-submitted issue reports | +| `sync-postgres.yml` | Syncs filesystem specs/impls to PostgreSQL | +| `sync-labels.yml` | Auto-syncs labels after manual PR merges | +| `ci-lint.yml` | Ruff linting on PRs | +| `ci-tests.yml` | Unit tests on PRs | +| `notify-deployment.yml` | Deployment notifications | +| `util-claude.yml` | Claude utility workflow | -## Key Architecture -- Plot-centric design: Everything for one plot lives in `plots/{spec-id}/` -- Specification-driven: Every plot starts as a library-agnostic Markdown spec -- Per-library metadata files (no merge conflicts) -- Quality scores: ≥90 auto-merge, <90 repair loop, ≥50 minimum after 3 attempts +## Data Flow +1. GitHub Issue + `spec-request` → `spec-create.yml` generates spec PR +2. `approved` label on Issue → spec merges, gets `spec-ready` label +3. `bulk-generate.yml` → `impl-generate.yml` → `impl-review.yml` → `impl-merge.yml` +4. `sync-postgres.yml` syncs filesystem to PostgreSQL on push to main +5. FastAPI serves data, React frontend displays gallery at pyplots.ai diff --git a/.serena/memories/suggested_commands.md b/.serena/memories/suggested_commands.md deleted file mode 100644 index 887238e2ea..0000000000 --- a/.serena/memories/suggested_commands.md +++ /dev/null @@ -1,85 +0,0 @@ -# Suggested Commands - -## Development Setup -```bash -# Install all dependencies -uv sync --all-extras - -# Start backend API -uv run uvicorn api.main:app --reload --port 8000 - -# Run database migrations -uv run alembic upgrade head -``` - -## Testing -```bash -# Run all tests -uv run pytest - -# Run only unit tests -uv run pytest tests/unit - -# Run only integration tests -uv run pytest tests/integration - -# Run with coverage -uv run pytest --cov=. --cov-report=html - -# Run specific test -uv run pytest tests/unit/api/test_routers.py::test_get_specs -``` - -## Code Quality (REQUIRED before commits!) -```bash -# Lint check -uv run ruff check . - -# Auto-fix lint issues -uv run ruff check . --fix - -# Format code -uv run ruff format . - -# Before committing (ALWAYS run this on changed files): -uv run ruff check && uv run ruff format -``` - -## Frontend Development -```bash -cd app -yarn install -yarn dev # Development server -yarn build # Production build -``` - -## Database -```bash -# Create migration -uv run alembic revision --autogenerate -m "description" - -# Apply migrations -uv run alembic upgrade head - -# Check current revision -uv run alembic current -``` - -## GitHub Workflow Commands -```bash -# Trigger implementation generation -gh workflow run bulk-generate.yml -f specification_id= -f library=all - -# Monitor workflow runs -gh run list --workflow=impl-generate.yml -gh run list --workflow=impl-review.yml - -# Create spec request issue -gh issue create --title "Plot Type Name" --label "spec-request" --body "Description" -``` - -## System Utilities -- `git` - Version control -- `ls`, `cd`, `find`, `grep` - File navigation/search -- `cat`, `head`, `tail` - File viewing -- `uv` - Python package management (replaces pip) diff --git a/.serena/memories/task_completion.md b/.serena/memories/task_completion.md index bac7ecdf69..88ef547b60 100644 --- a/.serena/memories/task_completion.md +++ b/.serena/memories/task_completion.md @@ -4,46 +4,39 @@ ### 1. Code Quality (REQUIRED) ```bash -# Run on all changed files +# Python changes uv run ruff check && uv run ruff format + +# Frontend changes +cd app && yarn lint ``` ### 2. Run Tests (if applicable) ```bash -# Run relevant tests -uv run pytest tests/unit # For unit tests -uv run pytest tests/integration # For integration tests +uv run pytest tests/unit # For backend changes +uv run pytest tests/integration # For DB/API changes +cd app && yarn build # For frontend (catches TS errors) +cd app && yarn test # Frontend unit tests (vitest) ``` ### 3. Documentation -- Check if related documentation needs updating -- Key docs to check: - - `docs/reference/plausible.md` - for analytics events - - `docs/workflows/` - for workflow changes - - `docs/contributing.md` - for user-facing changes +Check if related docs need updating: +- `docs/reference/plausible.md` - analytics events +- `docs/workflows/` - workflow changes +- `docs/contributing.md` - user-facing changes +- `agentic/docs/project-guide.md` - architecture/agentic changes -## CRITICAL Rules +## Critical Rules -### Do NOT: +### NEVER do: - Commit or push in interactive sessions (let user do it) -- Manually create `plots/{spec-id}/` directories -- Manually write `specification.md` files +- Manually create `plots/{spec-id}/` directories or `specification.md` files - Manually merge implementation PRs - Upload images to GCS manually +- Add `approved` label to PRs (add to ISSUES instead) -### Always: -- Use the GitHub Actions workflow for specs and implementations -- Add `approved` label to ISSUES (not PRs) +### ALWAYS do: +- Use GitHub Actions pipeline for specs and implementations +- Write everything in English - Let `impl-merge.yml` handle PR merging -- Update documentation when changing features - -## For Spec/Implementation Changes -All specifications and implementations MUST go through the GitHub Actions pipeline: - -1. Create GitHub Issue with descriptive title (NO spec-id!) -2. Add `spec-request` label -3. Wait for `spec-create.yml` to create PR -4. Add `approved` label to the ISSUE -5. Wait for merge and `spec-ready` label -6. Trigger `bulk-generate.yml` for implementations -7. DO NOT manually merge - let workflows handle it +- Update docs when changing features or workflows diff --git a/agentic/context/.gitkeep b/agentic/context/.gitkeep deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/agentic/docs/project-guide.md b/agentic/docs/project-guide.md index 5efe9d154d..b6fbd5e0b4 100644 --- a/agentic/docs/project-guide.md +++ b/agentic/docs/project-guide.md @@ -159,15 +159,21 @@ Example: `plots/scatter-basic/` contains everything for the basic scatter plot. - **`prompts/`**: AI agent prompts for code generation, quality evaluation, and tagging - `templates/`: Spec and metadata templates - `library/`: Library-specific generation rules (9 files) -- **`core/`**: Shared business logic (database, repositories, config) -- **`api/`**: FastAPI backend (routers, schemas, dependencies) -- **`app/`**: React frontend (Vite + TypeScript + MUI) -- **`tests/unit/`**: Unit tests mirroring source structure +- **`core/`**: Shared business logic (database, repositories, config, utils, images) + - **`core/database/types.py`**: Custom SQLAlchemy types (PostgreSQL + SQLite compatibility) + - **`core/database/repositories.py`**: Data access layer +- **`api/`**: FastAPI backend (routers, schemas, dependencies, cache, analytics, MCP server) +- **`app/`**: React frontend (Vite 7 + TypeScript 5 + MUI 7) +- **`agentic/`**: AI workflow layer (composable phases, prompt templates, runtime state) + - **`agentic/workflows/`**: Click CLI scripts (plan, build, test, review + orchestrators) + - **`agentic/commands/`**: Markdown prompt templates +- **`automation/`**: CI/CD helper scripts (workflow_cli, label_manager, sync_to_postgres) +- **`tests/`**: Unit, integration, and e2e tests mirroring source structure - **`docs/`**: Architecture and workflow documentation ### Key Architecture Patterns -1. **Repository Pattern**: Data access layer in `core/repositories/` +1. **Repository Pattern**: Data access layer in `core/database/repositories.py` 2. **Async Everything**: FastAPI + SQLAlchemy async + asyncpg 3. **Clean Repo**: Only production code in git. Quality reports -> `metadata/{library}.yaml`. Preview images -> GCS. 4. **Issue-Based Workflow**: GitHub Issues as state machine for plot lifecycle @@ -310,8 +316,8 @@ gs://pyplots-images/ ## Tech Stack -- **Backend**: FastAPI, SQLAlchemy (async), PostgreSQL, Python 3.10+ -- **Frontend**: React 19, Vite, TypeScript, MUI 7 +- **Backend**: FastAPI, SQLAlchemy (async), PostgreSQL, Python 3.14+ +- **Frontend**: React 19, Vite 7, TypeScript 5, MUI 7 - **Plotting**: matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, lets-plot - **Package Manager**: uv (fast Python installer) - **Infrastructure**: Google Cloud Run, Cloud SQL, Cloud Storage @@ -619,9 +625,11 @@ Issue ready for maintainer review | Workflow | Purpose | |----------|---------| | **ci-lint.yml** | Ruff linting on PR | -| **ci-unittest.yml** | Unit tests on PR | +| **ci-tests.yml** | Unit tests on PR | | **sync-postgres.yml** | Syncs plots/ to database on push to main | | **sync-labels.yml** | Auto-syncs labels after manual PR merges (spec-ready, impl:*:done) | +| **notify-deployment.yml** | Deployment notifications | +| **util-claude.yml** | Claude utility workflow | ### Decoupled Architecture diff --git a/api/Dockerfile b/api/Dockerfile index 0855e75d38..8af132a5cc 100644 --- a/api/Dockerfile +++ b/api/Dockerfile @@ -1,5 +1,5 @@ # Dockerfile for pyplots FastAPI backend on Cloud Run -FROM python:3.13-slim +FROM python:3.14-slim # Set working directory WORKDIR /app diff --git a/app/package.json b/app/package.json index a1be19e682..08e3a12041 100644 --- a/app/package.json +++ b/app/package.json @@ -30,15 +30,15 @@ "react-syntax-highlighter": "^16.1.0" }, "devDependencies": { - "@eslint/js": "^9.39.2", - "@types/react": "^19.2.10", + "@eslint/js": "^10.0.1", + "@types/react": "^19.2.13", "@types/react-dom": "^19.1.7", "@types/react-syntax-highlighter": "^15.5.13", "@typescript-eslint/eslint-plugin": "^8.54.0", "@typescript-eslint/parser": "^8.54.0", "@vitejs/plugin-react-swc": "^4.2.3", "@vitest/coverage-v8": "^4.0.18", - "eslint": "^9.39.2", + "eslint": "^10.0.0", "eslint-plugin-react-hooks": "^7.0.1", "eslint-plugin-react-refresh": "^0.5.0", "typescript": "^5.9.2", diff --git a/app/yarn.lock b/app/yarn.lock index 062f76239c..aeb7c1c382 100644 --- a/app/yarn.lock +++ b/app/yarn.lock @@ -2,43 +2,34 @@ # yarn lockfile v1 -"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.27.1": - version "7.27.1" - resolved "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz" - integrity sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg== - dependencies: - "@babel/helper-validator-identifier" "^7.27.1" - js-tokens "^4.0.0" - picocolors "^1.1.1" - -"@babel/code-frame@^7.28.6": - version "7.28.6" - resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.28.6.tgz#72499312ec58b1e2245ba4a4f550c132be4982f7" - integrity sha512-JYgintcMjRiCvS8mMECzaEn+m3PfoQiyqukOMCCVQtoJGYJw8j/8LBJEiqkHLkfwCcs74E3pbAUFNg7d9VNJ+Q== +"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.28.6", "@babel/code-frame@^7.29.0": + version "7.29.0" + resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.29.0.tgz#7cd7a59f15b3cc0dcd803038f7792712a7d0b15c" + integrity sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw== dependencies: "@babel/helper-validator-identifier" "^7.28.5" js-tokens "^4.0.0" picocolors "^1.1.1" "@babel/compat-data@^7.28.6": - version "7.28.6" - resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.28.6.tgz#103f466803fa0f059e82ccac271475470570d74c" - integrity sha512-2lfu57JtzctfIrcGMz992hyLlByuzgIk58+hhGCxjKZ3rWI82NnVLjXcaTqkI2NvlcvOskZaiZ5kjUALo3Lpxg== + version "7.29.0" + resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.29.0.tgz#00d03e8c0ac24dd9be942c5370990cbe1f17d88d" + integrity sha512-T1NCJqT/j9+cn8fvkt7jtwbLBfLC/1y1c7NtCeXFRgzGTsafi68MRv8yzkYSapBnFA6L3U2VSc02ciDzoAJhJg== "@babel/core@^7.24.4": - version "7.28.6" - resolved 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sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw== update-browserslist-db@^1.2.0: @@ -2427,7 +2318,7 @@ yallist@^3.0.2: yaml@^1.10.0: version "1.10.2" - resolved "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz" + resolved "https://registry.yarnpkg.com/yaml/-/yaml-1.10.2.tgz#2301c5ffbf12b467de8da2333a459e29e7920e4b" integrity sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg== yocto-queue@^0.1.0: diff --git a/pyproject.toml b/pyproject.toml index 703e341efb..0a76800cad 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ name = "pyplots" version = "0.2.0" description = "AI-powered Python plotting examples" authors = [{ name = "Markus Neusinger", email = "admin@pyplots.ai" }] -requires-python = ">=3.12" +requires-python = ">=3.14" readme = "README.md" license = "MIT" keywords = [ @@ -16,88 +16,88 @@ keywords = [ dependencies = [ # Core Framework - "fastapi>=0.104.0", - "uvicorn[standard]>=0.24.0", + "fastapi>=0.115.0", + "uvicorn[standard]>=0.34.0", # MCP Server "mcp>=1.0.0", - "fastmcp>=0.1.0", + "fastmcp>=2.0.0", # Database "sqlalchemy[asyncio]>=2.0.0", - "asyncpg>=0.29.0", + "asyncpg>=0.30.0", "pg8000>=1.31.0", # Sync driver for Cloud SQL Connector in GitHub Actions - "alembic>=1.13.0", + "alembic>=1.14.0", "cloud-sql-python-connector[asyncpg,pg8000]>=1.18.0", # Cloud SQL Connector # Data & Plotting - "pandas>=2.2.0", - "numpy>=1.26.0", - "matplotlib>=3.8.0", + "pandas>=3.0.0", + "numpy>=2.0.0", + "matplotlib>=3.10.0", # Data Science & ML (for plot implementations) - "scipy>=1.11.0", - "scikit-learn>=1.3.0", + "scipy>=1.14.0", + "scikit-learn>=1.6.0", "statsmodels>=0.14.0", # AI & Cloud "anthropic>=0.39.0", - "google-cloud-storage>=2.10.0", + "google-cloud-storage>=3.0.0", # Image Processing - "pillow>=10.0.0", + "pillow>=11.0.0", # HTTP Client - "httpx>=0.27.0", + "httpx>=0.28.0", # Essentials - "pydantic>=2.5.0", - "pydantic-settings>=2.0.0", + "pydantic>=2.10.0", + "pydantic-settings>=2.7.0", "pyyaml>=6.0.0", "python-dotenv>=1.0.0", "pandas-stubs>=2.3.0", # Caching - "cachetools>=5.3.0", + "cachetools>=7.0.0", ] [project.optional-dependencies] test = [ "pytest>=8.4.0", "pytest-cov>=6.2.1", - "pytest-asyncio>=0.23.0", - "httpx>=0.27.0", # For testing FastAPI - "aiosqlite>=0.19.0", # SQLite async driver for integration tests + "pytest-asyncio>=1.0.0", + "httpx>=0.28.0", # For testing FastAPI + "aiosqlite>=0.20.0", # SQLite async driver for integration tests ] dev = [ "ruff>=0.11.13", - "pre-commit>=3.6.0", + "pre-commit>=4.0.0", ] typecheck = [ - "mypy>=1.8.0", + "mypy>=1.14.0", ] plotting = [ # Additional plotting libraries (matplotlib already in main dependencies) "seaborn>=0.13.0", - "plotly>=5.18.0", - "bokeh>=3.3.0", - "altair>=5.2.0", - "plotnine>=0.13.0", + "plotly>=6.0.0", + "bokeh>=3.6.0", + "altair>=5.5.0", + "plotnine>=0.14.0", "pygal>=3.0.0", "highcharts-core>=1.10.0", - "lets-plot>=4.5.0", + "lets-plot>=4.6.0", # PNG export dependencies - "vl-convert-python>=1.3.0", # altair PNG export - "kaleido>=0.2.1", # plotly PNG export + "vl-convert-python>=1.7.0", # altair PNG export + "kaleido>=1.0.0", # plotly PNG export "selenium>=4.15.0", # bokeh/highcharts PNG export "webdriver-manager>=4.0.0", # auto-install chromedriver "cairosvg>=2.7.0", # pygal PNG export # Common data science stack used across plot implementations - "scipy>=1.11.0", - "scikit-learn>=1.3.0", + "scipy>=1.14.0", + "scikit-learn>=1.6.0", "statsmodels>=0.14.0", ] # Per-library dependencies for CI (minimal installs) -lib-matplotlib = ["matplotlib>=3.9.0", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] -lib-seaborn = ["seaborn>=0.13.0", "matplotlib>=3.9.0", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] -lib-plotly = ["plotly>=5.18.0", "kaleido>=0.2.1", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] -lib-bokeh = ["bokeh>=3.4.0", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0", "selenium>=4.15.0", "webdriver-manager>=4.0.0"] -lib-altair = ["altair>=5.2.0", "vl-convert-python>=1.3.0", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] -lib-plotnine = ["plotnine>=0.13.0", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] -lib-pygal = ["pygal>=3.0.0", "cairosvg>=2.7.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] -lib-highcharts = ["highcharts-core>=1.10.0", "numpy>=1.26.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0", "selenium>=4.15.0", "webdriver-manager>=4.0.0"] -lib-letsplot = ["lets-plot>=4.5.0", "pandas>=2.2.0", "scipy>=1.11.0", "scikit-learn>=1.3.0", "statsmodels>=0.14.0"] +lib-matplotlib = ["matplotlib>=3.10.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] +lib-seaborn = ["seaborn>=0.13.0", "matplotlib>=3.10.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] +lib-plotly = ["plotly>=6.0.0", "kaleido>=1.0.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] +lib-bokeh = ["bokeh>=3.6.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0", "selenium>=4.15.0", "webdriver-manager>=4.0.0"] +lib-altair = ["altair>=5.5.0", "vl-convert-python>=1.7.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] +lib-plotnine = ["plotnine>=0.14.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] +lib-pygal = ["pygal>=3.0.0", "cairosvg>=2.7.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] +lib-highcharts = ["highcharts-core>=1.10.0", "numpy>=2.0.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0", "selenium>=4.15.0", "webdriver-manager>=4.0.0"] +lib-letsplot = ["lets-plot>=4.6.0", "pandas>=3.0.0", "scipy>=1.14.0", "scikit-learn>=1.6.0", "statsmodels>=0.14.0"] all = [ "pyplots[test,dev,plotting,typecheck]", ] diff --git a/tests/unit/api/mcp/test_tools.py b/tests/unit/api/mcp/test_tools.py index 82916727dc..4d556f3d85 100644 --- a/tests/unit/api/mcp/test_tools.py +++ b/tests/unit/api/mcp/test_tools.py @@ -339,3 +339,67 @@ async def test_get_tag_values_invalid_category(mock_db_context): """Test get_tag_values with invalid category.""" with pytest.raises(ValueError, match="Invalid category 'invalid'"): await get_tag_values("invalid") + + +# ============================================================================= +# FastMCP Protocol-Level Tests (no mocks on fastmcp itself) +# ============================================================================= + + +class TestMcpServerProtocol: + """Tests that exercise the real fastmcp server instance. + + These tests verify tool registration and discovery without mocking fastmcp, + so breaking changes in the fastmcp API surface will be caught. + """ + + @pytest.mark.asyncio + async def test_all_tools_registered(self): + """MCP server should have all 6 tools registered.""" + from api.mcp.server import mcp_server + + tool_names = await mcp_server.get_tools() + expected = { + "list_specs", + "search_specs_by_tags", + "get_spec_detail", + "get_implementation", + "list_libraries", + "get_tag_values", + } + assert set(tool_names) == expected + + @pytest.mark.asyncio + async def test_tool_objects_have_correct_type(self): + """Each registered tool should be a FunctionTool with a callable fn.""" + from api.mcp.server import mcp_server + + tool_names = await mcp_server.get_tools() + for name in tool_names: + tool = await mcp_server.get_tool(name) + assert hasattr(tool, "fn"), f"Tool {name} has no 'fn' attribute" + assert callable(tool.fn), f"Tool {name}.fn is not callable" + + @pytest.mark.asyncio + async def test_tool_schemas_are_valid(self): + """Each tool should have a valid JSON Schema for its parameters.""" + from api.mcp.server import mcp_server + + tool_names = await mcp_server.get_tools() + for name in tool_names: + tool = await mcp_server.get_tool(name) + schema = tool.parameters + assert isinstance(schema, dict), f"Tool {name} schema is not a dict" + assert "properties" in schema, f"Tool {name} schema has no 'properties'" + assert schema.get("type") == "object", f"Tool {name} schema type is not 'object'" + + @pytest.mark.asyncio + async def test_get_tag_values_via_call_tool(self): + """Calling get_tag_values with invalid category through call_tool should raise.""" + from api.mcp.server import mcp_server + + # Call through the fastmcp protocol layer — exercises serialization + # get_tag_values("invalid") should raise ValueError + with pytest.raises(ValueError, match="Invalid category"): + tool = await mcp_server.get_tool("get_tag_values") + await tool.fn(category="invalid") diff --git a/tests/unit/api/test_cache.py b/tests/unit/api/test_cache.py index bc9dd7ef1a..bb9274e5ee 100644 --- a/tests/unit/api/test_cache.py +++ b/tests/unit/api/test_cache.py @@ -241,3 +241,25 @@ def test_stats_types(self) -> None: assert isinstance(stats["size"], int) assert isinstance(stats["maxsize"], int) assert isinstance(stats["ttl"], (int, float)) + + +class TestTTLCacheMaxsizeOverflow: + """Tests for TTLCache behavior when maxsize is exceeded.""" + + def test_oldest_entry_evicted_on_maxsize_overflow(self) -> None: + """When cache exceeds maxsize, oldest entry should be evicted (LRU).""" + from cachetools import TTLCache + + cache = TTLCache(maxsize=3, ttl=300) + cache["a"] = 1 + cache["b"] = 2 + cache["c"] = 3 + + # Adding 4th entry should evict oldest ("a") + cache["d"] = 4 + + assert "a" not in cache + assert cache["b"] == 2 + assert cache["c"] == 3 + assert cache["d"] == 4 + assert len(cache) == 3 diff --git a/tests/unit/core/test_data_deps.py b/tests/unit/core/test_data_deps.py new file mode 100644 index 0000000000..08dbcca862 --- /dev/null +++ b/tests/unit/core/test_data_deps.py @@ -0,0 +1,107 @@ +""" +Smoke tests for numpy and pandas API compatibility. + +These tests exercise the exact API patterns used in the project (conftest.py fixtures, +plot implementations) to catch breaking changes in major version upgrades. + +numpy 2.x removed many deprecated functions. +pandas 3.x made Copy-on-Write the default. +""" + +import numpy as np +import pandas as pd + + +class TestNumpyApiCompatibility: + """Tests for numpy API patterns used in the project.""" + + def test_random_seed(self) -> None: + """np.random.seed() must be available (used in conftest and plots).""" + np.random.seed(42) + val1 = np.random.randn(5) + np.random.seed(42) + val2 = np.random.randn(5) + np.testing.assert_array_equal(val1, val2) + + def test_random_randn(self) -> None: + """np.random.randn() must return correct shape (used in conftest).""" + result = np.random.randn(50) + assert result.shape == (50,) + assert result.dtype == np.float64 + + def test_random_uniform(self) -> None: + """np.random.uniform() must work with low/high/size (used in conftest).""" + result = np.random.uniform(10, 100, 50) + assert result.shape == (50,) + assert result.min() >= 10 + assert result.max() <= 100 + + def test_random_choice(self) -> None: + """np.random.choice() must work with list and size (used in conftest).""" + result = np.random.choice(["A", "B", "C"], 50) + assert result.shape == (50,) + assert set(result).issubset({"A", "B", "C"}) + + def test_linspace(self) -> None: + """np.linspace() must work (commonly used in plot implementations).""" + result = np.linspace(0, 10, 100) + assert result.shape == (100,) + assert result[0] == 0.0 + assert result[-1] == 10.0 + + def test_array_creation(self) -> None: + """np.array() must work for basic list conversion (used in plots).""" + result = np.array([1, 2, 3]) + assert result.shape == (3,) + assert result.dtype in (np.int64, np.intp) + + def test_arange(self) -> None: + """np.arange() must work (commonly used in plot implementations).""" + result = np.arange(0, 10, 0.5) + assert len(result) == 20 + assert result[0] == 0.0 + + +class TestPandasApiCompatibility: + """Tests for pandas API patterns used in the project.""" + + def test_dataframe_from_dict(self) -> None: + """pd.DataFrame() from dict must work (used in conftest).""" + np.random.seed(42) + df = pd.DataFrame( + { + "x": np.random.randn(50), + "y": np.random.randn(50), + "category": np.random.choice(["A", "B", "C"], 50), + "size": np.random.uniform(10, 100, 50), + } + ) + assert df.shape == (50, 4) + assert list(df.columns) == ["x", "y", "category", "size"] + + def test_column_access(self) -> None: + """Column access via df['col'] and df.col must work.""" + df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}) + assert list(df["a"]) == [1, 2, 3] + assert list(df.b) == [4, 5, 6] + + def test_to_dict(self) -> None: + """df.to_dict() must work (used in API responses).""" + df = pd.DataFrame({"a": [1, 2], "b": [3, 4]}) + result = df.to_dict() + assert result == {"a": {0: 1, 1: 2}, "b": {0: 3, 1: 4}} + + def test_dtypes(self) -> None: + """DataFrame dtypes must be accessible.""" + df = pd.DataFrame({"x": [1.0, 2.0], "cat": ["A", "B"]}) + assert df["x"].dtype == np.float64 + # pandas 3.x uses StringDtype by default, pandas 2.x uses object + assert pd.api.types.is_string_dtype(df["cat"]) + + def test_copy_on_write_safe_pattern(self) -> None: + """Modifying a copy should not affect the original (pandas 3.x CoW).""" + df = pd.DataFrame({"a": [1, 2, 3]}) + df_copy = df.copy() + df_copy["a"] = [10, 20, 30] + # Original must be unchanged + assert list(df["a"]) == [1, 2, 3] diff --git a/tests/unit/core/test_images.py b/tests/unit/core/test_images.py index 9e3f4e5b24..2a1be55dc7 100644 --- a/tests/unit/core/test_images.py +++ b/tests/unit/core/test_images.py @@ -617,6 +617,83 @@ def test_create_og_collage_without_labels(self, sample_plot_image: Path) -> None assert isinstance(result, bytes) +class TestGetMonolisaFontPath: + """Tests for _get_monolisa_font_path GCS font download.""" + + def test_returns_cached_font_without_gcs_call(self, tmp_path: Path) -> None: + """Should return cached font path without calling GCS when file exists.""" + from unittest.mock import patch + + import core.images + + # Create fake cached font in tmp_path + fake_font = tmp_path / "MonoLisaVariableNormal.ttf" + fake_font.write_bytes(b"fake font data") + + with patch("core.images.FONT_CACHE_DIR", tmp_path): + result = core.images._get_monolisa_font_path() + + assert result == fake_font + + def test_downloads_from_gcs_on_cache_miss(self, tmp_path: Path) -> None: + """Should download font from GCS when not cached.""" + from unittest.mock import MagicMock, patch + + import core.images + + mock_blob = MagicMock() + mock_bucket = MagicMock() + mock_bucket.blob.return_value = mock_blob + mock_client = MagicMock() + mock_client.bucket.return_value = mock_bucket + + with ( + patch.object(type(tmp_path / "MonoLisaVariableNormal.ttf"), "exists", return_value=False), + patch("core.images.FONT_CACHE_DIR", tmp_path), + patch("google.cloud.storage.Client", return_value=mock_client), + ): + result = core.images._get_monolisa_font_path() + + # Verify GCS interactions + mock_client.bucket.assert_called_once_with("pyplots-static") + mock_bucket.blob.assert_called_once_with("fonts/MonoLisaVariableNormal.ttf") + mock_blob.download_to_filename.assert_called_once() + assert result == tmp_path / "MonoLisaVariableNormal.ttf" + + def test_returns_none_on_gcs_exception(self, tmp_path: Path) -> None: + """Should return None gracefully when GCS download fails.""" + from unittest.mock import patch + + import core.images + + with ( + patch.object(type(tmp_path / "MonoLisaVariableNormal.ttf"), "exists", return_value=False), + patch("core.images.FONT_CACHE_DIR", tmp_path), + patch("google.cloud.storage.Client", side_effect=Exception("GCS unavailable")), + ): + result = core.images._get_monolisa_font_path() + + assert result is None + + def test_creates_cache_dir_on_download(self, tmp_path: Path) -> None: + """Should create cache directory if it doesn't exist before downloading.""" + from unittest.mock import MagicMock, patch + + import core.images + + cache_dir = tmp_path / "nonexistent" / "subdir" + mock_client = MagicMock() + mock_client.bucket.return_value.blob.return_value = MagicMock() + + with ( + patch("core.images.FONT_CACHE_DIR", cache_dir), + patch("google.cloud.storage.Client", return_value=mock_client), + ): + core.images._get_monolisa_font_path() + + assert cache_dir.exists() + + class TestBrandingCLI: """Tests for branding CLI commands.""" diff --git a/uv.lock b/uv.lock index 6e2aeebc83..d092c520ae 100644 --- a/uv.lock +++ b/uv.lock @@ -1,16 +1,10 @@ version = 1 revision = 3 -requires-python = ">=3.12" +requires-python = ">=3.14" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.13.*' and sys_platform == 'win32'", - "python_full_version == '3.13.*' and sys_platform == 'emscripten'", - "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version < '3.13' and sys_platform == 'win32'", - "python_full_version < '3.13' and sys_platform == 'emscripten'", - "python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "sys_platform == 'win32'", + "sys_platform == 'emscripten'", + "sys_platform != 'emscripten' and sys_platform != 'win32'", ] [[package]] @@ -46,40 +40,6 @@ dependencies = [ ] sdist = { url = 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