diff --git a/.github/workflows/docker_publish_image.yml b/.github/workflows/docker_publish_image.yml index 827cb520b..b47eb4d94 100644 --- a/.github/workflows/docker_publish_image.yml +++ b/.github/workflows/docker_publish_image.yml @@ -11,6 +11,16 @@ on: - ".github/workflows/frontend_build_push.yml" release: types: [released] + workflow_dispatch: + inputs: + use_cache: + description: 'Use Docker build cache' + required: false + default: 'true' + type: choice + options: + - 'true' + - 'false' env: REGISTRY: ghcr.io @@ -59,8 +69,8 @@ jobs: 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 + cache-from: ${{ (github.event_name == 'workflow_dispatch' && github.event.inputs.use_cache == 'false') && '' || 'type=gha,scope=api,timeout=20m' }} + cache-to: ${{ (github.event_name == 'workflow_dispatch' && github.event.inputs.use_cache == 'false') && '' || 'type=gha,mode=max,scope=api,timeout=20m,ignore-error=true' }} github-token: ${{ secrets.GITHUB_TOKEN }} build-and-push-worker-image: @@ -111,8 +121,8 @@ jobs: BUILD_TYPE=${{ 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 + 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 }} build-and-push-offline-predictor-image: @@ -160,6 +170,6 @@ jobs: 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 + 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 }} diff --git a/.github/workflows/frontend_build.yml b/.github/workflows/frontend_build.yml index 3953970e8..2e77e77de 100644 --- a/.github/workflows/frontend_build.yml +++ b/.github/workflows/frontend_build.yml @@ -53,6 +53,14 @@ jobs: if: steps.pnpm-cache.outputs.cache-hit != 'true' working-directory: ./frontend run: pnpm install --frozen-lockfile + + - name: Run Eslint + working-directory: ./frontend + run: pnpm lint + + - name: Run Prettier check + working-directory: ./frontend + run: pnpm format:check - name: Build working-directory: ./frontend diff --git a/.github/workflows/frontend_build_push.yml b/.github/workflows/frontend_build_push.yml index afd325604..1c7df5c31 100644 --- a/.github/workflows/frontend_build_push.yml +++ b/.github/workflows/frontend_build_push.yml @@ -52,6 +52,14 @@ jobs: if: steps.pnpm-cache.outputs.cache-hit != 'true' working-directory: ./frontend run: pnpm install --frozen-lockfile + + - name: Run Eslint + working-directory: ./frontend + run: pnpm lint + + - name: Run Prettier check + working-directory: ./frontend + run: pnpm format:check - name: Build frontend working-directory: ./frontend diff --git a/Readme.md b/Readme.md index 1511e51a9..f17362ee2 100644 --- a/Readme.md +++ b/Readme.md @@ -131,6 +131,6 @@ You _must_ verify that imagery provider's license is compatible with fAIr’s in ### Extended Use -- If you plan to use the API or imagery services beyond the scope of the listed license, **reach out to** [info@hotosm.org](mailto:info@hotosm.org) for further guidance. +- If you plan to use the API or imagery services beyond the scope of the listed license, **reach out to** [info@hotosm.org](mailto:info@hotosm.org) for further guidance . ![image](https://github.com/user-attachments/assets/9cbdc3a6-0a47-4c6e-8880-7ce5dbb1491e) diff --git a/backend/aiproject/settings.py b/backend/aiproject/settings.py index e8dff8978..da967403c 100644 --- a/backend/aiproject/settings.py +++ b/backend/aiproject/settings.py @@ -37,6 +37,7 @@ FRONTEND_URL = env("FRONTEND_URL", default="https://fair.hotosm.org") +API_BASE_URL = env("API_BASE_URL", default="https://fair-dev.hotosm.org/api/v1") EXPORT_TOOL_API_URL = env( "EXPORT_TOOL_API_URL", @@ -84,6 +85,13 @@ "TRAINING_WORKSPACE_DOWNLOAD_LIMIT", default=200 ) +## FGB Stream API Safety Limits +# Examples: 500km = ~4.5° at equator, 10000km² = ~100x100km area +FGB_MAX_BBOX_AREA_KM2 = env("FGB_MAX_BBOX_AREA_KM2", default=10000.0) +FGB_MAX_BBOX_DIMENSION_KM = env("FGB_MAX_BBOX_DIMENSION_KM", default=500.0) +FGB_MAX_FEATURES_LIMIT = env("FGB_MAX_FEATURES_LIMIT", default=50000) +FGB_REQUEST_TIMEOUT = env("FGB_REQUEST_TIMEOUT", default=60) +FGB_USE_ARROW_FOR_STREAMING = env("FGB_USE_ARROW_FOR_STREAMING", default=True) # Application definition @@ -212,7 +220,6 @@ logging.info("Enabling oauthlib insecure transport in debug mode") os.environ["OAUTHLIB_INSECURE_TRANSPORT"] = "1" - # celery configuration CELERY_BROKER_URL = env("CELERY_BROKER_URL", default="redis://127.0.0.1:6379/0") @@ -274,6 +281,10 @@ # CORS settings +# Cache settings +CACHE_TIMEOUT_MINUTES = int(os.getenv("CACHE_TIMEOUT_MINUTES", 5)) + + def extract_domain(url): return urlparse(url).hostname diff --git a/backend/core/management/commands/backup_db.py b/backend/core/management/commands/backup_db.py new file mode 100644 index 000000000..b89213951 --- /dev/null +++ b/backend/core/management/commands/backup_db.py @@ -0,0 +1,42 @@ +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/restore_db.py b/backend/core/management/commands/restore_db.py new file mode 100644 index 000000000..e4165c9bb --- /dev/null +++ b/backend/core/management/commands/restore_db.py @@ -0,0 +1,45 @@ +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/migrations/0001_initial.py b/backend/core/migrations/0001_initial.py new file mode 100644 index 000000000..47d30c149 --- /dev/null +++ b/backend/core/migrations/0001_initial.py @@ -0,0 +1,140 @@ +# 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/0002_remove_training_chips_length.py b/backend/core/migrations/0002_remove_training_chips_length.py new file mode 100644 index 000000000..e5455d76a --- /dev/null +++ b/backend/core/migrations/0002_remove_training_chips_length.py @@ -0,0 +1,17 @@ +# Generated by Django 4.1.4 on 2024-05-30 15:35 + +from django.db import migrations + + +class Migration(migrations.Migration): + + dependencies = [ + ('core', '0001_initial'), + ] + + operations = [ + migrations.RemoveField( + model_name='training', + name='chips_length', + ), + ] diff --git a/backend/core/migrations/0003_training_chips_length.py b/backend/core/migrations/0003_training_chips_length.py new file mode 100644 index 000000000..eb86d3fec --- /dev/null +++ b/backend/core/migrations/0003_training_chips_length.py @@ -0,0 +1,18 @@ +# 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 new file mode 100644 index 000000000..85776aa3f --- /dev/null +++ b/backend/core/migrations/0004_approvedpredictions.py @@ -0,0 +1,28 @@ +# 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 new file mode 100644 index 000000000..75ab66a4d --- /dev/null +++ b/backend/core/migrations/0005_banner_rename_approved_by_approvedpredictions_user_and_more.py @@ -0,0 +1,83 @@ +# 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 new file mode 100644 index 000000000..e507dedbf --- /dev/null +++ b/backend/core/migrations/0006_dataset_offset_usernotification.py @@ -0,0 +1,35 @@ +# 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 new file mode 100644 index 000000000..34368b6e7 --- /dev/null +++ b/backend/core/migrations/0007_remove_feedback_feedback_type_and_more.py @@ -0,0 +1,76 @@ +# 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 new file mode 100644 index 000000000..f15bbddba --- /dev/null +++ b/backend/core/migrations/0008_prediction_result_count.py @@ -0,0 +1,18 @@ +# 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/__init__.py b/backend/core/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/core/models.py b/backend/core/models.py index 4af648532..b599f5765 100644 --- a/backend/core/models.py +++ b/backend/core/models.py @@ -1,13 +1,14 @@ 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.core.exceptions import ValidationError from django.db import models from django.utils import timezone from login.models import OsmUser -from django.contrib.contenttypes.fields import GenericForeignKey -from django.contrib.contenttypes.models import ContentType + class Dataset(models.Model): class DatasetStatus(models.IntegerChoices): @@ -228,9 +229,12 @@ class UserNotification(models.Model): 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) + 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') + related_object = GenericForeignKey("content_type", "object_id") + def mark_as_read(self): if not self.is_read: self.is_read = True @@ -255,6 +259,7 @@ class Prediction(models.Model): status = models.CharField( choices=STATUS_CHOICES, default="SUBMITTED", max_length=10 ) + result_count = models.PositiveIntegerField(default=0) 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) diff --git a/backend/core/tasks.py b/backend/core/tasks.py index 089eb8ce6..222a598aa 100644 --- a/backend/core/tasks.py +++ b/backend/core/tasks.py @@ -11,10 +11,6 @@ from datetime import datetime 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, FeedbackAOI, @@ -31,10 +27,15 @@ LabelFileSerializer, ) from core.utils import bbox, is_dir_empty +from django.conf import settings +from django.shortcuts import get_object_or_404 +from django.utils import timezone from .utils import ( S3Uploader, + check_and_convert_crs, copyfile, + geojson_to_fgb, get_file_count, safe_copytree, safe_rmtree, @@ -391,20 +392,31 @@ def prepare_data( def run_tippecanoe(out): logger = logging.getLogger(__name__) try: - subprocess.run( - f"tippecanoe -o {out}/meta.pmtiles -Z7 -z18 " - f"-L aois:{out}/aois.geojson -L labels:{out}/labels.geojson " + 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, - check=True, - capture_output=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)) @@ -520,7 +532,7 @@ def train_model( @shared_task -def predict_area(prediction_request_id): +def predict_area(prediction_request_id, folder=None): from predictor import predict from predictor.models import PredictionRequest @@ -536,6 +548,7 @@ def predict_area(prediction_request_id): ) logger.addHandler(file_handler) try: + result = {} logger.info("Starting model prediction task") with capture_output_to_file(log_file): send_notification(inst, "Started") @@ -544,6 +557,10 @@ def predict_area(prediction_request_id): timezone.now(), predict_area.request.id, ) + 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"] = [ @@ -567,27 +584,61 @@ def predict_area(prediction_request_id): 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 - remove_metadata= True, + get_predictions_as_points=True, # True by default for now , however once it is implemented in the frontend make it parameterized #todo + remove_metadata=True, output_path=out, ) ) write_json( os.path.join(out, "aois.geojson"), - inst.geom.geojson, + json.loads(inst.geom.geojson), ) - write_json( + shutil.copy( + os.path.join(out, "results", "geojson", "predictions.geojson"), os.path.join(out, "labels.geojson"), - predictions, ) - run_tippecanoe(out) - if settings.USE_S3_TO_UPLOAD_MODELS: - upload_to_s3( - out, parent=f"{settings.PARENT_BUCKET_FOLDER}/prediction_{inst.id}" + 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") ) - inst.status, inst.finished_at = "FINISHED", timezone.now() + 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, inst.finished_at, inst.result_count = ( + "FINISHED", + timezone.now(), + 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", + } + return result except Exception as ex: logger.exception("Prediction failed") inst.status, inst.finished_at = "FAILED", timezone.now() diff --git a/backend/core/urls.py b/backend/core/urls.py index 6753d6bc2..1a22e5491 100644 --- a/backend/core/urls.py +++ b/backend/core/urls.py @@ -24,6 +24,8 @@ PredictionViewSet, RawdataApiAOIView, RawdataApiFeedbackView, + StreamFGBView, + TerminatePredictionView, TerminateTrainingView, TrainingViewSet, TrainingWorkspaceDownloadView, @@ -70,11 +72,16 @@ TerminateTrainingView.as_view(), name="cancel_training", ), + path( + "prediction/terminate//", + TerminatePredictionView.as_view(), + name="cancel_prediction", + ), # path("feedback/training/submit/", FeedbackView.as_view()), # path("status/", APIStatus.as_view()), # path("geojson2osm/", geojson2osmconverter, name="geojson2osmconverter"), # path("conflate/", ConflateGeojson, name="Conflate Geojson"), - # path("aoi/gpx//", GenerateGpxView.as_view()), + path("aoi/gpx//", GenerateGpxView.as_view()), # path( # "feedback-aoi/gpx//", GenerateFeedbackAOIGpxView.as_view() # ), @@ -82,6 +89,9 @@ "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//", diff --git a/backend/core/utils.py b/backend/core/utils.py index 4c22778d2..06e85f093 100644 --- a/backend/core/utils.py +++ b/backend/core/utils.py @@ -50,6 +50,53 @@ def get_s3_client(): s3_client = get_s3_client() +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: @@ -466,11 +513,19 @@ def _upload_directory(self, directory_path, bucket_name): def get_email_message(obj_instance, status): hostname = settings.FRONTEND_URL - # training_model_url = f"{hostname}/ai-models/{training_instance.model.id}" - profile_url = f"{hostname}/profile" # doing profile for now as training url won't work for the predictions, i can read from the class name and filter out the condition , keeping it simple for now can do that later #todo + + if obj_instance.__class__.__name__ == "Prediction": + profile_url = f"{hostname}/profile/offline-predictions" # todo : later on add the instance id here once we have the offline prediction page itself + + 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_instance.__class__.__name__} task (ID: {object_id}) of model {model_name} has {status}. You can view the details in your profile:\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" @@ -482,10 +537,11 @@ def get_email_message(obj_instance, status): message = message_template.format( username=obj_instance.user.username, object_id=obj_instance.id, - model_name=obj_instance.model.name, + # 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 @@ -504,14 +560,20 @@ def send_notification(obj_instance, status): and obj_instance.user.email != "" and obj_instance.user.email_verified ): - message, subject = get_email_message(obj_instance, status) - send_mail( - subject=subject, - message=message, - from_email=settings.DEFAULT_FROM_EMAIL, - recipient_list=[obj_instance.user.email], - fail_silently=settings.FAIL_EMAIL_SILENTLY, - ) + 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): @@ -657,3 +719,19 @@ def setup_ramp(): 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") diff --git a/backend/core/views.py b/backend/core/views.py index 4a87762e9..bd6be6f5d 100644 --- a/backend/core/views.py +++ b/backend/core/views.py @@ -5,11 +5,12 @@ import os import pathlib import subprocess -import time import zipfile from datetime import datetime from urllib.parse import quote +import pyogrio + # import tensorflow as tf from celery import current_app from celery.result import AsyncResult @@ -25,8 +26,7 @@ from django_q.tasks import async_task from drf_yasg import openapi from drf_yasg.utils import swagger_auto_schema - -# from geojson2osm import geojson2osm +from geojson2osm import geojson2osm from login.authentication import OsmAuthentication from login.permissions import ( IsAdminUser, @@ -46,6 +46,7 @@ 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 .models import ( AOI, @@ -82,9 +83,11 @@ ) from .tasks import predict_area, train_model from .utils import ( + degrees_to_km, download_s3_file, get_s3_directory, gpx_generator, + km_to_degrees, process_rawdata, request_rawdata, s3_object_exists, @@ -816,7 +819,7 @@ def get(self, request, feedback_aoi_id: int): class TrainingWorkspaceView(APIView): - @method_decorator(cache_page(60 * 15)) + @method_decorator(cache_page(60 * settings.CACHE_TIMEOUT_MINUTES)) @method_decorator(vary_on_headers("access-token")) def get(self, request, lookup_dir): bucket_name = settings.BUCKET_NAME @@ -862,19 +865,19 @@ def get_queryset(self): ) | Banner.objects.filter(end_date__isnull=True) -@cache_page(60 * 15) ## Cache for 15 mins +@cache_page(60 * settings.CACHE_TIMEOUT_MINUTES) # @vary_on_cookie @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_feedback_labels = Feedback.objects.filter(action="ACCEPT").count() - total_approved_predictions = Feedback.objects.filter(action="REJECT").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_approved_predictions, + "total_accepted_predictions": total_accepted_predictions, "total_feedback_labels": total_feedback_labels, } @@ -1023,9 +1026,11 @@ class Meta: 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"), ) @@ -1043,8 +1048,10 @@ class PredictionViewSet(UserAssignmentMixin, viewsets.ModelViewSet): public_methods = ["GET"] http_method_names = ["get", "post", "patch"] queryset = Prediction.objects.all() + bbox_filter_field = "geom" filter_backends = ( DjangoFilterBackend, + InBBoxFilter, filters.SearchFilter, filters.OrderingFilter, ) @@ -1068,3 +1075,223 @@ def partial_update(self, request, *args, **kwargs): ) return super().partial_update(request, *args, **kwargs) + + +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 + + # Convert km limits to degrees for comparison + center_lat = (miny + maxy) / 2 + max_dim_deg, _ = km_to_degrees(settings.FGB_MAX_BBOX_DIMENSION_KM, center_lat) + + # Calculate area in km² for comparison + 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") diff --git a/backend/login/migrations/0001_initial.py b/backend/login/migrations/0001_initial.py new file mode 100644 index 000000000..97dca8d9b --- /dev/null +++ b/backend/login/migrations/0001_initial.py @@ -0,0 +1,44 @@ +# Generated by Django 4.1.4 on 2024-05-30 15:20 + +import django.contrib.auth.models +import django.contrib.auth.validators +from django.db import migrations, models +import django.utils.timezone + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + ('auth', '0012_alter_user_first_name_max_length'), + ] + + operations = [ + migrations.CreateModel( + name='OsmUser', + fields=[ + ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('password', models.CharField(max_length=128, verbose_name='password')), + ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), + ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), + ('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')), + ('first_name', models.CharField(blank=True, max_length=150, verbose_name='first name')), + ('last_name', models.CharField(blank=True, max_length=150, verbose_name='last name')), + ('email', models.EmailField(blank=True, max_length=254, verbose_name='email address')), + ('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')), + ('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')), + ('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)), + ('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')), + ], + options={ + 'db_table': 'auth_user', + }, + managers=[ + ('objects', django.contrib.auth.models.UserManager()), + ], + ), + ] 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 new file mode 100644 index 000000000..b87bafc1e --- /dev/null +++ b/backend/login/migrations/0002_osmuser_account_deletion_requested_and_more.py @@ -0,0 +1,29 @@ +# 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/migrations/0003_osmuser_email_verified.py b/backend/login/migrations/0003_osmuser_email_verified.py new file mode 100644 index 000000000..05abdd316 --- /dev/null +++ b/backend/login/migrations/0003_osmuser_email_verified.py @@ -0,0 +1,18 @@ +# Generated by Django 4.1.4 on 2025-04-14 14:07 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('login', '0002_osmuser_account_deletion_requested_and_more'), + ] + + operations = [ + migrations.AddField( + model_name='osmuser', + name='email_verified', + field=models.BooleanField(default=False), + ), + ] diff --git a/backend/login/migrations/__init__.py b/backend/login/migrations/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 96aa1e021..b94b953c3 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -9,8 +9,7 @@ authors = [ {name = "HOTOSM", email = "sysadmin@hotosm.org"}, ] dependencies = [ - "geomltoolkits>=0.3.6", - "gunicorn>=23.0.0", + ] [tool.uv] @@ -32,13 +31,17 @@ api = [ "djangorestframework-gis>=1.0", "drf-yasg>=1.21.10", "flower>=2.0.1", - "geomltoolkits>=0.3.7", + "geojson2osm>=0.0.1", + "geomltoolkits>=0.4.1", "geopandas>=0.13.2", "gpxpy>=1.6.2", + "gunicorn>=23.0.0", "mercantile>=1.2.1", 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size = 9630, upload-time = "2024-11-10T15:05:19.275Z" }, ] diff --git a/docker-compose.prod.yml b/docker-compose.prod.yml index e78dc2bd8..bebcfa2c9 100644 --- a/docker-compose.prod.yml +++ b/docker-compose.prod.yml @@ -7,6 +7,7 @@ x-common-volumes: &common-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: @@ -105,7 +106,7 @@ services: platform: linux/amd64 container_name: worker-cpu restart: always - command: celery -A aiproject worker --loglevel=INFO --concurrency=1 -Q ramp_training,yolo_training + command: celery -A aiproject worker --loglevel=INFO --pool=threads --concurrency=1 -Q ramp_training,yolo_training depends_on: backend-api: condition: service_healthy @@ -128,7 +129,7 @@ services: platform: linux/amd64 container_name: worker-gpu restart: always - command: celery -A aiproject worker --loglevel=INFO --concurrency=1 -Q ramp_training,yolo_training --max-tasks-per-child 1000 -n worker-gpu@%h + command: celery -A aiproject 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 diff --git a/docs/Docker-installation.md b/docs/Docker-installation.md index c68583e51..241e04b6a 100644 --- a/docs/Docker-installation.md +++ b/docs/Docker-installation.md @@ -4,64 +4,33 @@ Docker Compose is created with redis , worker , postgis database , api and fron 1. Clone Repo - ``` + ```bash git clone https://github.com/hotosm/fAIr.git ``` 2. Get Docker Compose Installed If docker is not installed , Install it from [here](https://docs.docker.com/engine/install/) - ``` + ```bash docker compose version ``` -3. Check your Graphics +3. Check your Graphics (Optional) - fAIr works best with graphics card. It is highly recommended to use graphics card . It might not work with CPU only (You can setup and test from bottom of this document). Nvidia Graphics cards are tested + fAIr works best with graphics card , Ideally you can also set it up only with CPU though for the development , but if you want models to be trained locally GPU is recommended. Nvidia Graphics cards are tested You need to make sure you can see your graphics card details and can be accessed through docker by installing necessary drivers By following command you can see your graphics and graphics driver details & nvidia container toolkit is installed More details [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) - ``` + ```bash nvidia-smi ``` -4. Clone Base Model and Create RAMP_HOME - - - Create a new folder called RAMP , outside fAIr - - ``` - mkdir ramp - ``` - - Download BaseModel Checkpoint from [here](https://drive.google.com/file/d/1YQsY61S_rGfJ_f6kLQq4ouYE2l3iRe1k/view) - OR You can use basemodel from [Model Ramp Baseline](https://github.com/radiantearth/model_ramp_baseline/tree/main/data/input/checkpoint.tf) - ``` - pip install gdown - gdown --fuzzy https://drive.google.com/file/d/1YQsY61S_rGfJ_f6kLQq4ouYE2l3iRe1k/view - ``` - - Clone Ramp Code - - ``` - git clone https://github.com/kshitijrajsharma/ramp-code-fAIr.git ramp-code - ``` - - Unzip downloaded basemodel and move inside ramp-code/ramp - - ``` - unzip checkpoint.tf.zip -d ramp-code/ramp - ``` - - Export Env variable for RAMP_HOME - Grab the file path of folder we created earlier ```ramp``` and export it as env variable - ``` - export RAMP_HOME=/home/YOUR_RAMP_LOCATION - ``` - eg : export RAMP_HOME=/home/kshitij/ramp - - - Export ```TRAINING_WORKSPACE``` Env - Training workspace is the folder where fAIr will store its training files - for eg : - ``` - export TRAINING_WORKSPACE=/home/kshitij/hotosm/fAIr/trainings - ``` +4. Setup + ```bash + bash ./manage-dev.sh setup + ``` + It will create .env.dev in your dir , Now replace your credentials for the Login 5. Register your Local setup to OSM @@ -70,121 +39,18 @@ Docker Compose is created with redis , worker , postgis database , api and fron - Navigate to ```Oauth2 Applications``` - Register new application - Check permissions for ```Read user preferences``` and Redirect URI to be ```http://127.0.0.1:3000/authenticate/``` , Give it name as ```fAIr Dev Local``` - - You will get ```OSM_CLIENT_ID``` , ```OSM_CLIENT_SECRET``` Copy them - -6. Create Env variables - Backend - - Create a file ```.env``` in backend with [docker_sample_env](../backend/docker_sample_env) content - ``` - cd backend - cp docker_sample_env .env - ``` - - Fill out the details of ```OSM_CLIENT_ID``` &```OSM_CLIENT_SECRET``` in .env file and generate a unique key & paste it to ```OSM_SECRET_KEY``` (It can be random for dev setup) - - Leave rest of the items as it is unless you know what you are doing - - Frontend - - Create ```.env``` file in /frontend - ``` - cd frontend - cp .env_sample .env - ``` - You can leave it as it is for dev setup - -7. Build & Run containers - - ``` - docker compose build - ``` - - ``` - docker compose up - ``` - -8. Run Migrations - - Run directly bash script : - - ``` - bash run_migrations.sh - ``` - - OR - - Grab API container & Open Bash + - You will get ```OSM_CLIENT_ID``` , ```OSM_CLIENT_SECRET``` Copy them & Replace it back to the .env.dev - docker exec -it api bash +6. Build & Run containers - - Once Bash is promoted hit following commands - - python manage.py makemigrations - python manage.py makemigrations login - python manage.py makemigrations core - python manage.py migrate - -9. Play and Develop - - Restart containers - - ``` - docker compose restart + ```bash + bash ./manage-dev.sh start ``` Frontend will be available on 5000 port , Backend will be on 8000 , Flower will be on 5500 Please open the frontend using URL `127.0.0.1:3000` instead of `localhost:3000` to ensure login functionality. -10. Want to run your local tiles ? +7. Want to run your local tiles ? You can use [titler](https://github.com/developmentseed/titiler) , [gdals2tiles](https://gdal.org/programs/gdal2tiles.html) or nginx to run your own TMS server and add following to docker compose in order to access your localhost through docker containers . Add those to API and Worker . Make sure you update the .env variable accordingly - - ``` - network_mode: "host" - ``` - Example docker compose : - - ``` - backend-api: - build: - context: ./backend - dockerfile: Dockerfile.API - container_name: api - command: python manage.py runserver 0.0.0.0:8000 - - ports: - - 8000:8000 - volumes: - - ./backend:/app - - ${RAMP_HOME}:/RAMP_HOME - - ${TRAINING_WORKSPACE}:/TRAINING_WORKSPACE - depends_on: - - redis - - postgres - network_mode: "host" - - backend-worker: - build: - context: ./backend - dockerfile: Dockerfile.workers - container_name: worker - command: celery -A aiproject worker --loglevel=INFO --concurrency=1 -Q ramp_training,yolo_training - - volumes: - - ./backend:/app - - ${RAMP_HOME}:/RAMP_HOME - - ${TRAINING_WORKSPACE}:/TRAINING_WORKSPACE - depends_on: - - backend-api - - redis - - postgres - network_mode: "host" - ``` - - Example .env after host change : - - ``` - DATABASE_URL=postgis://postgres:admin@localhost:5434/ai - CELERY_BROKER_URL="redis://localhost:6379/0" - CELERY_RESULT_BACKEND="redis://localhost:6379/0" - ``` diff --git a/docs/deployment.md b/docs/deployment.md new file mode 100644 index 000000000..5cac12962 --- /dev/null +++ b/docs/deployment.md @@ -0,0 +1,48 @@ +Checklist for the deployments: + +**Pre-Deployment Checklist** + +* Perform sanity check on the dev env with model creation , predictions , dataset creation ! +* Backup the Database , `python manage.py backup_db myoutputpath/backup.sql` +* Check and verify any database migration exists for the release if they do kindly verify the migrations files are stored in the git itself , production uses migrations from the repo + +**Release Checklist** + +* Release fAIr utilities +* Release fairpredictor +* Verify the pypi releases for utilities and predictor +* Make PR to include new versions from utilities and predictor & finally Release fAIr +- Document the env variable changes that are required for this release as compared to the previous version + +Make sure you always follow this order because : new version of fAIr utilities and fAIrpredictor should be included in the fAIr backend envs, hence it can only be done after first two release . A PR would be required to bump it to new versions and docker images should be built for the prediciton and new release of fAIr should include those versions from utilties and predictor ! + +**Database Migration Checklist** + +Make sure you have backups available in case things go wrong ! +* Login to SSH +* Login as admin +* Checkout to release +* Activate virtualenv (source fAIr/backend/.venv/bin/activate) +* Verify changes +* Run `python manage.py migrate` + +**Deployment Checklist** + +* Verify PYPI packages are available: + + hot-fair-utilities (https://pypi.org/project/hot-fair-utilities/) + + fairpredictor (https://pypi.org/project/fairpredictor/) + +* Verify Docker images for fAIr production are built and deployed +* [worker](https://github.com/hotosm/fAIr/pkgs/container/fair-worker) , [api](https://github.com/hotosm/fAIr/pkgs/container/fair-api) & [offline-predictor](https://github.com/hotosm/fAIr/pkgs/container/fair-offline-predictor ) images should be built and pointed to latest release +* Verify Docker image for [fairpredictor](https://github.com/hotosm/fairpredictor/pkgs/container/fairpredictor) is built and deployed +- Now create new task definition for api , worker , predictor and prediction worker , Verify the env variable changes if there are any +- Deploy the services + + +**Verification Checklist** + +* Verify all the workers are appearing in flower +* Verify the full workflow in frontend ! +- Check the cache for the s3 (frontend cloudfront) +* Verify Matomo after deployment + diff --git a/frontend/.husky/pre-commit b/frontend/.husky/pre-commit new file mode 100644 index 000000000..3a4f351d7 --- /dev/null +++ b/frontend/.husky/pre-commit @@ -0,0 +1,7 @@ +echo "===== Navigating to project directory =====" +cd frontend + +echo "===== Running precommit script =====" +pnpm precommit + +echo "===== Pre-commit hook finished =====" \ No newline at end of file diff --git a/frontend/README.md b/frontend/README.md index 61da4a915..a819a06cd 100644 --- a/frontend/README.md +++ b/frontend/README.md @@ -84,14 +84,30 @@ The project standards are crucial for maintaining code quality, consistency, and ESLint is used to maintain code quality and adhering to coding standards. +#### Lint + +You can run linting to automatically check and fix code style issues. Run the following command in your terminal: + +```bash +pnpm lint +``` + +#### Precommit + +The precommit script is used to automatically check code style, run tests, and format code before commits are made. To run it manually, use: + +```bash +pnpm precommit +``` + #### Prettier Prettier is a used to maintain consistent code formatting in the project. To format run the code below in the terminal. ```bash -1. pnpm/npm/yarn format +1. pnpm format -2. pnpm/npm/yarn format:check +2. pnpm format:check ``` #### TypeScript diff --git a/frontend/eslint.config.js b/frontend/eslint.config.js index 6b191c342..1d145beb4 100644 --- a/frontend/eslint.config.js +++ b/frontend/eslint.config.js @@ -2,26 +2,36 @@ import js from '@eslint/js'; import globals from 'globals'; import reactHooks from 'eslint-plugin-react-hooks'; import reactRefresh from 'eslint-plugin-react-refresh'; -import tseslint from '@typescript-eslint/eslint-plugin'; import prettierPlugin from 'eslint-plugin-prettier'; import prettierConfig from 'eslint-config-prettier'; +import tseslint from 'typescript-eslint' +import react from 'eslint-plugin-react' +import TypeScriptParser from '@typescript-eslint/parser' +import pluginQuery from '@tanstack/eslint-plugin-query' +import tailwind from "eslint-plugin-tailwindcss"; -export default [ + +export default tseslint.config( + { ignores: ['dist'] }, { - ignores: ['dist'], + extends: [ + // Js + js.configs.recommended, + // Ts + ...tseslint.configs.recommended, + // React + react.configs.flat.recommended, + // Prettier + ...pluginQuery.configs['flat/recommended'], + ...tailwind.configs["flat/recommended"], + prettierConfig, + ], files: ['**/*.{ts,tsx}'], - languageOptions: { - ecmaVersion: 2020, - sourceType: 'module', - globals: globals.browser, - parser: '@typescript-eslint/parser', - }, plugins: { 'react-hooks': reactHooks, 'react-refresh': reactRefresh, - '@tanstack/query': '@tanstack/query', 'prettier': prettierPlugin, }, rules: { @@ -31,12 +41,27 @@ export default [ { allowConstantExport: true }, ], 'prettier/prettier': 'error', + // To avoid the need to import React + 'react/react-in-jsx-scope': 'off', + // To avoid the need to specify prop types + 'react/prop-types': 'off', + 'tailwindcss/no-custom-classname': 'off', + }, + languageOptions: { + ecmaVersion: 2020, + sourceType: 'module', + globals: globals.browser, + parser: TypeScriptParser, + }, + settings: { + // For eslint-plugin-react to auto detect react version + react: { + version: 'detect' + }, }, - }, - js.configs.recommended, - ...tseslint.configs.recommended, - 'plugin:@tanstack/eslint-plugin-query/recommended', - 'plugin:tailwindcss/recommended', - prettierConfig, -]; + + } +) + + diff --git a/frontend/index.html b/frontend/index.html index 984d73570..8215be0bb 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -19,7 +19,6 @@ - HOT fAIr diff --git a/frontend/package.json b/frontend/package.json index 8225c2ff3..b4d09a961 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -10,8 +10,17 @@ "preview": "vite preview", "format": "prettier --write 'src/**/*.{js,jsx,ts,tsx,json,css,scss,md}'", "format:check": "prettier --check 'src/**/*.{js,jsx,ts,tsx,json,css,scss,md}'", - "test": "vitest", - "coverage": "vitest run --coverage" + "test": "vitest run --passWithNoTests", + "coverage": "vitest run --coverage", + "precommit": "lint-staged", + "prepare": "cd .. && husky frontend/.husky" + }, + "lint-staged": { + "src/**/*.{js,jsx,ts,tsx,json,css,scss,md,test.ts}": [ + "pnpm format", + "pnpm test", + "pnpm lint" + ] }, "dependencies": { "@reactour/tour": "^3.7.0", @@ -71,7 +80,9 @@ "eslint-plugin-react-refresh": "^0.4.12", "eslint-plugin-tailwindcss": "^3.17.5", "globals": "^15.10.0", + "husky": "^9.1.7", "jsdom": "^26.0.0", + "lint-staged": "^16.1.2", "postcss": "^8.4.47", "prettier": "3.3.3", "tailwindcss": "^3.4.13", diff --git a/frontend/pnpm-lock.yaml b/frontend/pnpm-lock.yaml index 42bc43eed..e39f8175e 100644 --- a/frontend/pnpm-lock.yaml +++ b/frontend/pnpm-lock.yaml @@ -178,9 +178,15 @@ importers: globals: specifier: ^15.10.0 version: 15.10.0 + husky: + specifier: ^9.1.7 + version: 9.1.7 jsdom: specifier: ^26.0.0 version: 26.0.0 + lint-staged: + specifier: ^16.1.2 + version: 16.1.2 postcss: specifier: ^8.4.47 version: 8.4.47 @@ -1281,6 +1287,10 @@ packages: ajv@6.12.6: 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+ string-width@4.2.3: resolution: {integrity: sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==} engines: {node: '>=8'} @@ -3039,6 +3157,10 @@ packages: resolution: {integrity: sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==} engines: {node: '>=12'} + string-width@7.2.0: + resolution: {integrity: sha512-tsaTIkKW9b4N+AEj+SVA+WhJzV7/zMhcSu78mLKWSk7cXMOSHsBKFWUs0fWwq8QyK3MgJBQRX6Gbi4kYbdvGkQ==} + engines: {node: '>=18'} + string.prototype.includes@2.0.1: resolution: {integrity: sha512-o7+c9bW6zpAdJHTtujeePODAhkuicdAryFsfVKwA+wGw89wJ4GTY484WTucM9hLtDEOpOvI+aHnzqnC5lHp4Rg==} engines: {node: '>= 0.4'} @@ -3457,6 +3579,10 @@ packages: resolution: {integrity: sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==} engines: {node: '>=12'} + wrap-ansi@9.0.0: + resolution: {integrity: sha512-G8ura3S+3Z2G+mkgNRq8dqaFZAuxfsxpBB8OCTGRTCtp+l/v9nbFNmCUP1BZMts3G1142MsZfn6eeUKrr4PD1Q==} + engines: {node: '>=18'} + ws@8.18.1: resolution: {integrity: sha512-RKW2aJZMXeMxVpnZ6bck+RswznaxmzdULiBr6KY7XkTnW8uvt0iT9H5DkHUChXrc+uurzwa0rVI16n/Xzjdz1w==} engines: {node: '>=10.0.0'} @@ -3488,6 +3614,11 @@ packages: engines: {node: '>= 14'} hasBin: true + yaml@2.8.0: + resolution: {integrity: sha512-4lLa/EcQCB0cJkyts+FpIRx5G/llPxfP6VQU5KByHEhLxY3IJCH0f0Hy1MHI8sClTvsIb8qwRJ6R/ZdlDJ/leQ==} + engines: {node: '>= 14.6'} + hasBin: true + yocto-queue@0.1.0: resolution: {integrity: sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==} engines: {node: '>=10'} @@ -4657,6 +4788,10 @@ snapshots: json-schema-traverse: 0.4.1 uri-js: 4.4.1 + ansi-escapes@7.0.0: + dependencies: + environment: 1.1.0 + ansi-regex@5.0.1: {} ansi-regex@6.1.0: {} @@ -4866,6 +5001,8 @@ snapshots: ansi-styles: 4.3.0 supports-color: 7.2.0 + chalk@5.4.1: {} + character-entities-html4@2.1.0: {} character-entities-legacy@3.0.0: {} @@ -4888,6 +5025,15 @@ snapshots: optionalDependencies: fsevents: 2.3.3 + cli-cursor@5.0.0: + dependencies: + restore-cursor: 5.1.0 + + cli-truncate@4.0.0: + dependencies: + slice-ansi: 5.0.0 + string-width: 7.2.0 + clsx@2.1.1: {} color-convert@1.9.3: @@ -4902,12 +5048,16 @@ snapshots: color-name@1.1.4: {} + colorette@2.0.20: {} + combined-stream@1.0.8: dependencies: delayed-stream: 1.0.0 comma-separated-tokens@2.0.3: {} + commander@14.0.0: {} + commander@4.1.1: {} composed-offset-position@0.0.4: {} @@ -4966,6 +5116,10 @@ snapshots: dependencies: ms: 2.1.3 + debug@4.4.1: + dependencies: + ms: 2.1.3 + decimal.js@10.5.0: {} decode-named-character-reference@1.0.2: @@ -5022,12 +5176,16 @@ snapshots: electron-to-chromium@1.5.30: {} + emoji-regex@10.4.0: {} + emoji-regex@8.0.0: {} emoji-regex@9.2.2: {} entities@4.5.0: {} + environment@1.1.0: {} + es-abstract@1.23.8: dependencies: array-buffer-byte-length: 1.0.2 @@ -5315,6 +5473,8 @@ snapshots: esutils@2.0.3: {} + eventemitter3@5.0.1: {} + expect-type@1.1.0: {} extend@3.0.2: {} @@ -5423,6 +5583,8 @@ snapshots: geojson@0.5.0: {} + get-east-asian-width@1.3.0: {} + get-intrinsic@1.2.6: dependencies: call-bind-apply-helpers: 1.0.1 @@ -5556,6 +5718,8 @@ snapshots: transitivePeerDependencies: - supports-color + husky@9.1.7: {} + iconv-lite@0.6.3: dependencies: safer-buffer: 2.1.2 @@ -5640,6 +5804,12 @@ snapshots: is-fullwidth-code-point@3.0.0: {} + is-fullwidth-code-point@4.0.0: {} + + is-fullwidth-code-point@5.0.0: + dependencies: + get-east-asian-width: 1.3.0 + is-generator-function@1.0.10: dependencies: has-tostringtag: 1.0.2 @@ -5808,8 +5978,34 @@ snapshots: lilconfig@3.1.2: {} + lilconfig@3.1.3: {} + lines-and-columns@1.2.4: {} + lint-staged@16.1.2: + dependencies: + chalk: 5.4.1 + commander: 14.0.0 + debug: 4.4.1 + lilconfig: 3.1.3 + listr2: 8.3.3 + micromatch: 4.0.8 + nano-spawn: 1.0.2 + pidtree: 0.6.0 + string-argv: 0.3.2 + yaml: 2.8.0 + transitivePeerDependencies: + - supports-color + + listr2@8.3.3: + dependencies: + cli-truncate: 4.0.0 + colorette: 2.0.20 + eventemitter3: 5.0.1 + log-update: 6.1.0 + rfdc: 1.4.1 + wrap-ansi: 9.0.0 + lit-element@4.1.0: dependencies: '@lit-labs/ssr-dom-shim': 1.2.1 @@ -5838,6 +6034,14 @@ snapshots: lodash@4.17.21: {} + log-update@6.1.0: + dependencies: + ansi-escapes: 7.0.0 + cli-cursor: 5.0.0 + slice-ansi: 7.1.0 + strip-ansi: 7.1.0 + wrap-ansi: 9.0.0 + longest-streak@3.1.0: {} loose-envify@1.4.0: @@ -6248,6 +6452,8 @@ snapshots: dependencies: mime-db: 1.52.0 + mimic-function@5.0.1: {} + min-indent@1.0.1: {} minimatch@3.1.2: @@ -6278,6 +6484,8 @@ snapshots: object-assign: 4.1.1 thenify-all: 1.6.0 + nano-spawn@1.0.2: {} + nanoid@3.3.7: {} natural-compare@1.4.0: {} @@ -6327,6 +6535,10 @@ snapshots: define-properties: 1.2.1 es-object-atoms: 1.0.0 + onetime@7.0.0: + dependencies: + mimic-function: 5.0.1 + optionator@0.9.4: dependencies: deep-is: 0.1.4 @@ -6397,6 +6609,8 @@ snapshots: picomatch@2.3.1: {} + pidtree@0.6.0: {} + pify@2.3.0: {} pirates@4.0.6: {} @@ -6670,8 +6884,15 @@ snapshots: path-parse: 1.0.7 supports-preserve-symlinks-flag: 1.0.0 + restore-cursor@5.1.0: + dependencies: + onetime: 7.0.0 + signal-exit: 4.1.0 + reusify@1.0.4: {} + rfdc@1.4.1: {} + rollup@4.23.0: dependencies: '@types/estree': 1.0.6 @@ -6787,6 +7008,16 @@ snapshots: signal-exit@4.1.0: {} + slice-ansi@5.0.0: + dependencies: + ansi-styles: 6.2.1 + is-fullwidth-code-point: 4.0.0 + + slice-ansi@7.1.0: + dependencies: + ansi-styles: 6.2.1 + is-fullwidth-code-point: 5.0.0 + source-map-js@1.2.1: {} space-separated-tokens@2.0.2: {} @@ -6799,6 +7030,8 @@ snapshots: std-env@3.8.0: {} + string-argv@0.3.2: {} + string-width@4.2.3: dependencies: emoji-regex: 8.0.0 @@ -6811,6 +7044,12 @@ snapshots: emoji-regex: 9.2.2 strip-ansi: 7.1.0 + string-width@7.2.0: + dependencies: + emoji-regex: 10.4.0 + get-east-asian-width: 1.3.0 + strip-ansi: 7.1.0 + string.prototype.includes@2.0.1: dependencies: call-bind: 1.0.8 @@ -7316,6 +7555,12 @@ snapshots: string-width: 5.1.2 strip-ansi: 7.1.0 + wrap-ansi@9.0.0: + dependencies: + ansi-styles: 6.2.1 + string-width: 7.2.0 + strip-ansi: 7.1.0 + ws@8.18.1: {} xml-name-validator@5.0.0: {} @@ -7333,6 +7578,8 @@ snapshots: yaml@2.5.1: {} + yaml@2.8.0: {} + yocto-queue@0.1.0: {} zustand@5.0.3(@types/react@19.1.8)(react@19.1.0): diff --git a/frontend/prettier.config.mjs b/frontend/prettier.config.mjs index 6016970d1..9288b82e5 100644 --- a/frontend/prettier.config.mjs +++ b/frontend/prettier.config.mjs @@ -6,7 +6,9 @@ export default { singleQuote: false, tabWidth: 2, trailingComma: "all", + trailingComma: "es5", printWidth: 80, useTabs: false, - endOfLine: "auto" + endOfLine: "auto", + bracketSpacing: true, }; diff --git a/frontend/src/app/providers/auth-provider.tsx b/frontend/src/app/providers/auth-provider.tsx index 2d9b19145..7f5701a11 100644 --- a/frontend/src/app/providers/auth-provider.tsx +++ b/frontend/src/app/providers/auth-provider.tsx @@ -47,7 +47,7 @@ export const AuthProvider: React.FC = ({ children }) => { useSessionStorage(); const [token, setToken] = useState( - getValue(HOT_FAIR_LOCAL_STORAGE_ACCESS_TOKEN_KEY), + getValue(HOT_FAIR_LOCAL_STORAGE_ACCESS_TOKEN_KEY) ); const [user, setUser] = useState(undefined); @@ -76,7 +76,7 @@ export const AuthProvider: React.FC = ({ children }) => { */ useEffect(() => { const loginSuccessful = getSessionValue( - HOT_FAIR_LOGIN_SUCCESSFUL_SESSION_KEY, + HOT_FAIR_LOGIN_SUCCESSFUL_SESSION_KEY ); if (loginSuccessful == "success") { showSuccessToast(TOAST_NOTIFICATIONS.loginSuccess); @@ -118,7 +118,7 @@ export const AuthProvider: React.FC = ({ children }) => { setUser(user); handleRedirection(); } catch (error) { - showErrorToast(error); + showErrorToast(error as Error); } }; @@ -148,8 +148,8 @@ export const AuthProvider: React.FC = ({ children }) => { const data = await authService.authenticate(state, code); setValue(HOT_FAIR_LOCAL_STORAGE_ACCESS_TOKEN_KEY, data.access_token); setToken(data.access_token); - } catch (error) { - showErrorToast(error, TOAST_NOTIFICATIONS.authenticationFailed); + } catch { + showErrorToast(TOAST_NOTIFICATIONS.authenticationFailed); // Delay for 5 seconds, incase it's the network speed. // Otherwise, redirect the user back to the home page. setTimeout(() => { @@ -177,7 +177,7 @@ export const AuthProvider: React.FC = ({ children }) => { window.location.href = APPLICATION_ROUTES.PROFILE_SETTINGS; }, 3000); } catch (error) { - showErrorToast(error); + showErrorToast(error as Error); // Delay for 3 seconds, incase it's the network speed. // Otherwise, redirect the user back to the home page. setTimeout(() => { diff --git a/frontend/src/app/providers/models-provider.tsx b/frontend/src/app/providers/models-provider.tsx index 213f851a4..b277fd080 100644 --- a/frontend/src/app/providers/models-provider.tsx +++ b/frontend/src/app/providers/models-provider.tsx @@ -205,7 +205,7 @@ const ModelsContext = createContext<{ | number | number[] | Record - | LngLatBoundsLike, + | LngLatBoundsLike ) => void; hasLabeledTrainingAreas: boolean; @@ -266,37 +266,43 @@ export const ModelsProvider: React.FC<{ const datasetId = searchParams.get(DatasetURLParams.DATASET_ID); const datasetName = searchParams.get(DatasetURLParams.DATASET_NAME); const datasetSourceImagery = searchParams.get( - DatasetURLParams.DATASET_SOURCE_IMAGERY, + DatasetURLParams.DATASET_SOURCE_IMAGERY ); const { setValue, removeValue, getValue } = useLocalStorage(); const storedFormData = getValue(HOT_FAIR_MODEL_CREATION_LOCAL_STORAGE_KEY); const [formData, setFormData] = useState( - storedFormData ? JSON.parse(storedFormData) : initialFormState, + storedFormData ? JSON.parse(storedFormData) : initialFormState ); const { user, isAuthenticated } = useAuth(); - const handleChange = ( - field: string, - value: - | string - | boolean - | number - | number[] - | Record - | LngLatBoundsLike, - ) => { - setFormData((prev) => { - const updatedData = { ...prev, [field]: value }; - setValue( - HOT_FAIR_MODEL_CREATION_LOCAL_STORAGE_KEY, - JSON.stringify(updatedData), - ); - return updatedData; - }); - }; + const handleChange = useCallback( + ( + field: string, + value: + | string + | boolean + | number + | number[] + | Record + | LngLatBoundsLike + ) => { + setFormData((prev) => { + const updatedData = { ...prev, [field]: value }; + setValue( + HOT_FAIR_MODEL_CREATION_LOCAL_STORAGE_KEY, + JSON.stringify(updatedData) + ); + return updatedData; + }); + }, + [] + ); - const getFullPath = (path: string) => - `${isEditMode ? MODELS_BASE + "/" + modelId : MODELS_ROUTES.CREATE_MODEL_BASE}/${path}/`; + const getFullPath = useCallback( + (path: string) => + `${isEditMode ? MODELS_BASE + "/" + modelId : MODELS_ROUTES.CREATE_MODEL_BASE}/${path}/`, + [] + ); const timeOutRef = useRef(null); @@ -305,7 +311,7 @@ export const ModelsProvider: React.FC<{ const { data, isPending, isError, error } = useModelDetails( id ?? (modelId as string), !!id || !!modelId, - 10000, + 10000 ); const isModelOwner = isAuthenticated && data?.user?.osm_id === user?.osm_id; @@ -340,7 +346,7 @@ export const ModelsProvider: React.FC<{ if (datasetId && datasetName && datasetSourceImagery) { handleChange( MODEL_CREATION_FORM_NAME.SELECTED_TRAINING_DATASET_ID, - datasetId, + datasetId ); handleChange(MODEL_CREATION_FORM_NAME.DATASET_NAME, datasetName); handleChange(MODEL_CREATION_FORM_NAME.TMS_URL, datasetSourceImagery); @@ -353,32 +359,32 @@ export const ModelsProvider: React.FC<{ handleChange(MODEL_CREATION_FORM_NAME.BASE_MODELS, data.base_model); handleChange( MODEL_CREATION_FORM_NAME.MODEL_DESCRIPTION, - data.description ?? "", + data.description ?? "" ); handleChange(MODEL_CREATION_FORM_NAME.MODEL_NAME, data.name ?? ""); handleChange( MODEL_CREATION_FORM_NAME.SELECTED_TRAINING_DATASET_ID, - data.dataset.id, + data.dataset.id ); handleChange( MODEL_CREATION_FORM_NAME.DATASET_NAME, - data.dataset.name ?? "", + data.dataset.name ?? "" ); handleChange( MODEL_CREATION_FORM_NAME.TMS_URL, - data.dataset.source_imagery ?? "", + data.dataset.source_imagery ?? "" ); handleChange( MODEL_CREATION_FORM_NAME.TILESERVICE_TYPE, - getTileServerTypeFromURL(data.dataset.source_imagery ?? ""), + getTileServerTypeFromURL(data.dataset.source_imagery ?? "") ); handleChange(MODEL_CREATION_FORM_NAME.DATASET_OFFSET, data.dataset.offset); }, [isEditMode, isError, isPending, data]); - const resetState = () => { + const resetState = useCallback(() => { removeValue(HOT_FAIR_MODEL_CREATION_LOCAL_STORAGE_KEY); setFormData(initialFormState); - }; + }, []); useEffect(() => { // Cleanup the timeout on component unmount @@ -425,10 +431,10 @@ export const ModelsProvider: React.FC<{ zoom_level: formData.zoomLevels, }); }, - [formData, modelId], + [formData, createNewTrainingRequestMutation] ); - const handleModelCreationOrUpdateSuccess = (id: string) => { + const handleModelCreationOrUpdateSuccess = useCallback((id: string) => { if (isEditMode && isModelOwner) { showSuccessToast(TOAST_NOTIFICATIONS.modelUpdateSuccess); } else if (!isEditMode) { @@ -438,7 +444,7 @@ export const ModelsProvider: React.FC<{ navigate(`${getFullPath(MODELS_ROUTES.CONFIRMATION)}?id=${id}`); // Submit the model for training request submitTrainingRequest(id); - }; + }, []); const modelCreateMutation = useCreateModel({ mutationConfig: { @@ -468,9 +474,9 @@ export const ModelsProvider: React.FC<{ () => formData.trainingAreas.length > 0 && formData.trainingAreas.every( - (aoi: TTrainingAreaFeature) => aoi.properties.label_fetched !== null, + (aoi: TTrainingAreaFeature) => aoi.properties.label_fetched !== null ), - [formData], + [formData] ); // Confirm that all of the training areas have a geometry. @@ -478,12 +484,12 @@ export const ModelsProvider: React.FC<{ () => formData.trainingAreas.length > 0 && formData.trainingAreas.every( - (aoi: TTrainingAreaFeature) => aoi.geometry !== null, + (aoi: TTrainingAreaFeature) => aoi.geometry !== null ), - [formData], + [formData] ); - const handleModelCreationAndUpdate = () => { + const handleModelCreationAndUpdate = useCallback(() => { // The user is trying to edit their model. // In this case, send a PATCH request and submit a training request. if (isEditMode && isModelOwner) { @@ -506,11 +512,19 @@ export const ModelsProvider: React.FC<{ base_model: formData.baseModel, }); } - }; + }, [ + isEditMode, + isModelOwner, + modelUpdateMutation, + formData, + modelId, + handleModelCreationOrUpdateSuccess, + modelCreateMutation, + ]); const modelCreationOrUpdateInProgress = useMemo( () => modelCreateMutation.isPending || modelUpdateMutation.isPending, - [modelCreateMutation.isPending, modelUpdateMutation.isPending], + [modelCreateMutation.isPending, modelUpdateMutation.isPending] ); const memoizedValues = useMemo( @@ -553,7 +567,7 @@ export const ModelsProvider: React.FC<{ isError, isModelOwner, modelCreationOrUpdateInProgress, - ], + ] ); return ( diff --git a/frontend/src/app/providers/tour-provider.tsx b/frontend/src/app/providers/tour-provider.tsx index 8c13942aa..7ae784d1b 100644 --- a/frontend/src/app/providers/tour-provider.tsx +++ b/frontend/src/app/providers/tour-provider.tsx @@ -52,9 +52,9 @@ export const AppTourProvider: React.FC = ({ setShowTourModal(false); setIsOpen(true); // @ts-expect-error bad types definition - setSteps((prevSteps) => { + setSteps(() => { const visibleSteps = APP_TOUR_STEPS.filter((step) => - document.querySelector(step.selector), + document.querySelector(step.selector) ); return visibleSteps; }); diff --git a/frontend/src/app/routes/about.tsx b/frontend/src/app/routes/about.tsx index bce29670e..a3719b248 100644 --- a/frontend/src/app/routes/about.tsx +++ b/frontend/src/app/routes/about.tsx @@ -10,14 +10,14 @@ export const AboutPage = () => {
-
-
-

- {ABOUT_PAGE_CONTENT.heroHeading.firstSegment}{" "} +
+
+

+ {ABOUT_PAGE_CONTENT.heroHeading.firstSegment} {ABOUT_PAGE_CONTENT.heroHeading.secondSegment} - {" "} - {ABOUT_PAGE_CONTENT.heroHeading.thirdSegment}{" "} + + {ABOUT_PAGE_CONTENT.heroHeading.thirdSegment}

@@ -27,11 +27,12 @@ export const AboutPage = () => { src={HOTTeamLandscape} width="100%" height="100%" + className="size-2 md:size-full" />

-
-
-

+

+
+

{ABOUT_PAGE_CONTENT.bodyContent.firstParagraph}

{ABOUT_PAGE_CONTENT.bodyContent.secondParagraph}

diff --git a/frontend/src/app/routes/datasets/dataset-detail.tsx b/frontend/src/app/routes/datasets/dataset-detail.tsx index e3dad7c2d..0b5f33b7a 100644 --- a/frontend/src/app/routes/datasets/dataset-detail.tsx +++ b/frontend/src/app/routes/datasets/dataset-detail.tsx @@ -25,7 +25,7 @@ export const TrainingDatasetsDetailPage = () => { const datasetId = id ? parseInt(id, 10) : undefined; const { data, isPending, isError, refetch, error } = useGetTrainingDataset( datasetId as number, - !!datasetId, + !!datasetId ); const { isAuthenticated, user } = useAuth(); @@ -62,7 +62,7 @@ export const TrainingDatasetsDetailPage = () => { if (isError) { return ( -
+

Error loading dataset {datasetId}.

@@ -96,36 +96,36 @@ export const TrainingDatasetsDetailPage = () => { trainingDataset={data} /> -

Dataset ID: {data.id}

+

Dataset ID: {data.id}

-
-
+
+

{truncateString(data.name, 40)}

-
-

+

+

Used by: {data.models_count}{" "} {data.models_count > 1 ? "models" : "model"}

-

+

Created by:{" "} {data.user.username}

-

+

Last Modified:{" "} {formatDate(data.last_modified)}

- Source Image: + Source Image:
-
+
{ prefixIcon={DatabaseIcon} onClick={() => { navigate( - `${APPLICATION_ROUTES.CREATE_NEW_MODEL}/?${DatasetURLParams.DATASET_ID}=${data.id}&${DatasetURLParams.DATASET_NAME}=${data.name}&${DatasetURLParams.DATASET_SOURCE_IMAGERY}=${data.source_imagery}`, + `${APPLICATION_ROUTES.CREATE_NEW_MODEL}/?${DatasetURLParams.DATASET_ID}=${data.id}&${DatasetURLParams.DATASET_NAME}=${data.name}&${DatasetURLParams.DATASET_SOURCE_IMAGERY}=${data.source_imagery}` ); }} className="!w-fit" @@ -143,13 +143,13 @@ export const TrainingDatasetsDetailPage = () => { disabled={false} /> {/* Edit Dropdown */} -
+
{showEditOptions && ( + diff --git a/frontend/src/app/routes/landing.tsx b/frontend/src/app/routes/landing.tsx index 1e1de3a67..98feb7e49 100644 --- a/frontend/src/app/routes/landing.tsx +++ b/frontend/src/app/routes/landing.tsx @@ -1,15 +1,25 @@ -import { FAQs } from "@/components/shared"; import { Head } from "@/components/seo"; import { Header, Kpi, - TaglineBanner, + WhatIsFAIR, TheFAIRProcess, - CallToAction, - Corevalues, CoreFeatures, - WhatIsFAIR, + Corevalues, } from "@/components/landing"; +import { Suspense, lazy } from "react"; + +const FAQs = lazy(() => + import("@/components/shared").then((mod) => ({ default: mod.FAQs })) +); +const TaglineBanner = lazy(() => + import("@/components/landing").then((mod) => ({ + default: mod.TaglineBanner, + })) +); +const CallToAction = lazy(() => + import("@/components/landing").then((mod) => ({ default: mod.CallToAction })) +); export const LandingPage = () => { return ( @@ -21,11 +31,13 @@ export const LandingPage = () => { -
- -
- - + +
+ +
+ + + ); }; diff --git a/frontend/src/app/routes/models/confirmation.tsx b/frontend/src/app/routes/models/confirmation.tsx index d9f88f57d..62e5c9f09 100644 --- a/frontend/src/app/routes/models/confirmation.tsx +++ b/frontend/src/app/routes/models/confirmation.tsx @@ -26,10 +26,10 @@ export const ModelConfirmationPage = () => { return (
-
+
{ ? MODELS_CONTENT.modelCreation.confirmation.updateDescription : MODELS_CONTENT.modelCreation.confirmation.description}

-
+
{ const { data, isPending, isError } = useModelsContext(); const { data: feedbacksData, isLoading } = useTrainingFeedbacks( - data?.published_training, + data?.published_training ); if (isLoading || isPending || isError) { return (
-
-
+
+
); } @@ -25,20 +25,20 @@ export const ModelFeedbacksPage = () => { <> -
+
-

+

Training ID: {data?.published_training}

-
-
-
+
+
+
-
-

+
+

Feedbacks

-
+
Model Details @@ -50,21 +50,21 @@ export const ModelFeedbacksPage = () => { />
-

+

These are the rejected mapping results for this training by users. Some have comments attached to them.

-
-

+

+

Total Feedbacks: {feedbacksData?.count}

-
+
{ title={MODELS_CONTENT.models.modelsDetailsCard.propertiesSectionTitle} > {!data?.published_training ? ( -
+
Model training in progress { MODELS_CONTENT.models.modelsDetailsCard.trainingHistorySectionTitle } > -
+
{ if (mapViewIsActive) { return ( -
+
{ {modelsMapDataIsPending || modelsMapDataIsError || mapData.features.length === 0 ? ( -
+
) : ( @@ -136,10 +136,10 @@ export const ModelsPage = () => {
{/* Filters */} -
+
-
-
+
+
{ /> {/* Mobile filters */} -
+
{ {/* Desktop */}
-
+
{/* Desktop */} {
{isPending ? ( -
+
) : ( -
-
-

+

+
+

{data?.count}{" "} { MODELS_CONTENT.models.modelsList.sortingAndPaginationSection @@ -230,7 +230,7 @@ export const ModelsPage = () => {

{renderContent()} {/* mobile pagination */} -
+
{ const location = useLocation(); const modelNotFound = location.state?.from.includes( - APPLICATION_ROUTES.MODELS, + APPLICATION_ROUTES.MODELS ); const trainingDatasetNotFound = location.state?.from.includes( - APPLICATION_ROUTES.DATASETS, + APPLICATION_ROUTES.DATASETS ); const navigate = useNavigate(); @@ -19,9 +19,9 @@ export const PageNotFound = () => { return ( <> -
+
-

+

{SHARED_CONTENT.pageNotFound.messages.constant}{" "} {location.state?.error ? location.state?.error @@ -32,9 +32,9 @@ export const PageNotFound = () => { : SHARED_CONTENT.pageNotFound.messages.pageNotFound}

-

+

404 - + {/* Icon */} { ? APPLICATION_ROUTES.MODELS : trainingDatasetNotFound ? APPLICATION_ROUTES.DATASETS - : APPLICATION_ROUTES.HOMEPAGE, + : APPLICATION_ROUTES.HOMEPAGE ); }} className="max-w-[300px]" diff --git a/frontend/src/app/routes/profile/datasets.tsx b/frontend/src/app/routes/profile/datasets.tsx index b49387b35..cf6239866 100644 --- a/frontend/src/app/routes/profile/datasets.tsx +++ b/frontend/src/app/routes/profile/datasets.tsx @@ -24,7 +24,7 @@ export const UserProfileDatasetsPage = () => {
{/* Section heading */} -
+
@@ -35,9 +35,9 @@ export const UserProfileDatasetsPage = () => { className="w-full max-w-full sm:w-auto" />
-
+

{data?.count} datasets

-
+
{ /> )} -
+
{/* Section heading */} -
+
{ className="w-full max-w-full sm:w-auto" />
-
-
-

+

+
+

{data?.count} prediction {data?.count && data?.count > 1 ? "s" : ""}

@@ -88,7 +88,7 @@ export const UserProfileOfflinePredictionsPage = () => { iconSize="icon" />
-
+
{ { valid: true, message: "", - }, + } ); const [showForm, setShowForm] = useState(user?.email.length === 0); @@ -40,10 +40,10 @@ export const UserProfileSettingsPage = () => { }>({ monthlyNewsletter: user.newsletter_subscription, emailTrainingNotification: user.notifications_delivery_methods.includes( - NotificationDeliveryMethod.MAIL, + NotificationDeliveryMethod.MAIL ), webTrainingNotification: user.notifications_delivery_methods.includes( - NotificationDeliveryMethod.WEB, + NotificationDeliveryMethod.WEB ), }); @@ -60,7 +60,7 @@ export const UserProfileSettingsPage = () => { setIsEmailPending(false); }, onError: (error) => { - showErrorToast(error, "Error updating email."); + showErrorToast(error); setIsEmailPending(false); }, }, @@ -85,7 +85,7 @@ export const UserProfileSettingsPage = () => { openSuccessDialog(); }, onError: (error) => { - showErrorToast(error, "Account deletion request failed."); + showErrorToast(error); }, }, }); @@ -97,7 +97,7 @@ export const UserProfileSettingsPage = () => { mutationConfig: { onSuccess: () => { showSuccessToast( - "Email verification instructions has been sent to your email address.", + "Email verification instructions has been sent to your email address." ); }, onError: (error) => { @@ -114,7 +114,7 @@ export const UserProfileSettingsPage = () => { setIsNotificationPending(false); }, onError: (error) => { - showErrorToast(error, "Error updating notifications."); + showErrorToast(error); setIsNotificationPending(false); }, }, @@ -133,7 +133,7 @@ export const UserProfileSettingsPage = () => { <> {/* Delete success dialog */} -
+
Model Creation Success Icon { .deletionSuccessTitle }

-

+

{ USER_PROFILE_PAGE_CONTENT.settings.account.deleteModal .deletionSuccessDescription @@ -153,7 +153,7 @@ export const UserProfileSettingsPage = () => {

)} -
+
{ rounded />
-
+
{modelPredictionsExist && }
diff --git a/frontend/src/assets/images/hot_team.webp b/frontend/src/assets/images/hot_team.webp new file mode 100644 index 000000000..361e5590c Binary files /dev/null and b/frontend/src/assets/images/hot_team.webp differ diff --git a/frontend/src/assets/images/hot_team_2.webp b/frontend/src/assets/images/hot_team_2.webp new file mode 100644 index 000000000..0bcb97cf4 Binary files /dev/null and b/frontend/src/assets/images/hot_team_2.webp differ diff --git a/frontend/src/assets/images/hot_team_landscape.png b/frontend/src/assets/images/hot_team_landscape.png deleted file mode 100644 index 79760de33..000000000 Binary files a/frontend/src/assets/images/hot_team_landscape.png and /dev/null differ diff --git a/frontend/src/assets/images/hot_team_landscape.webp b/frontend/src/assets/images/hot_team_landscape.webp new file mode 100644 index 000000000..d5ee70f6e Binary files /dev/null and b/frontend/src/assets/images/hot_team_landscape.webp differ diff --git a/frontend/src/assets/images/index.ts b/frontend/src/assets/images/index.ts index 64f80a4c4..4dc66d639 100644 --- a/frontend/src/assets/images/index.ts +++ b/frontend/src/assets/images/index.ts @@ -1,8 +1,8 @@ export { default as JumbotronBackgroundImage } from "@/assets/images/header_bg.jpg"; export { default as CreativeCommonsBadge } from "@/assets/images/cc_by_badge.png"; -export { default as HOTTeamTwo } from "@/assets/images/hot_team_2.jpg"; -export { default as HOTTeamLandscape } from "@/assets/images/hot_team_landscape.png"; -export { default as HOTTeam } from "@/assets/images/hot_team.jpg"; +export { default as HOTTeamTwo } from "@/assets/images/hot_team_2.webp"; +export { default as HOTTeamLandscape } from "@/assets/images/hot_team_landscape.webp"; +export { default as HOTTeam } from "@/assets/images/hot_team.webp"; export { default as MapMarkerIcon } from "@/assets/images/map_marker.png"; export { default as MapathonOngoing } from "@/assets/images/mapathon_ongoing.jpg"; export { default as ModelFormConfirmation } from "@/assets/images/model_creation_success.png"; diff --git a/frontend/src/assets/images/mapathon_ongoing.webp b/frontend/src/assets/images/mapathon_ongoing.webp new file mode 100644 index 000000000..cd726c90d Binary files /dev/null and b/frontend/src/assets/images/mapathon_ongoing.webp differ diff --git a/frontend/src/assets/svgs/contour_background.webp b/frontend/src/assets/svgs/contour_background.webp new file mode 100644 index 000000000..34e33a93d Binary files /dev/null and b/frontend/src/assets/svgs/contour_background.webp differ diff --git a/frontend/src/components/auth/auth-modal.tsx b/frontend/src/components/auth/auth-modal.tsx index f510ad85b..d3ce03cd3 100644 --- a/frontend/src/components/auth/auth-modal.tsx +++ b/frontend/src/components/auth/auth-modal.tsx @@ -30,10 +30,10 @@ export const AuthenticationModal = ({ return ( -
+
-
-

+
+

{AUTH_PAGE_AND_MODAL_CONTENT.title}

@@ -55,7 +55,7 @@ export const AuthenticationModal = ({ > {AUTH_PAGE_AND_MODAL_CONTENT.buttonText} {AUTH_PAGE_AND_MODAL_CONTENT.buttonText} diff --git a/frontend/src/components/errors/fallback.tsx b/frontend/src/components/errors/fallback.tsx index ad39854be..f296ffcc0 100644 --- a/frontend/src/components/errors/fallback.tsx +++ b/frontend/src/components/errors/fallback.tsx @@ -4,9 +4,9 @@ import { SHARED_CONTENT } from "@/constants"; export const MainErrorFallback = () => { return ( <> -

+
-

+

{SHARED_CONTENT.errorBoundary.title}

diff --git a/frontend/src/components/errors/under-construction.tsx b/frontend/src/components/errors/under-construction.tsx index 36fca1646..25bc3b5e7 100644 --- a/frontend/src/components/errors/under-construction.tsx +++ b/frontend/src/components/errors/under-construction.tsx @@ -3,9 +3,9 @@ import { SHARED_CONTENT } from "@/constants"; export const PageUnderConstruction = () => { return ( -
+
-

+

{SHARED_CONTENT.construction.message}

diff --git a/frontend/src/components/landing/core-values/core-values.tsx b/frontend/src/components/landing/core-values/core-values.tsx index 30a199549..7e819f0a3 100644 --- a/frontend/src/components/landing/core-values/core-values.tsx +++ b/frontend/src/components/landing/core-values/core-values.tsx @@ -78,7 +78,13 @@ export const Corevalues = () => { {/* Connector */}
- + dashed-line
{/* Humans not replaced */} @@ -96,6 +102,8 @@ export const Corevalues = () => { src={MapathonOngoing} alt={SHARED_CONTENT.homepage.coreValues.humansNotReplaced.title} className={styles.image} + width="100%" + height="100%" /> {/* The rectangles */}
{ src={HOTTeamTwo} alt={SHARED_CONTENT.homepage.callToAction.ctaButton} className={styles.image} + width="100%" + height="100%" /> {/* The rectangles */}
diff --git a/frontend/src/components/landing/header/header.module.css b/frontend/src/components/landing/header/header.module.css index 7d0ee5695..c14f44d90 100644 --- a/frontend/src/components/landing/header/header.module.css +++ b/frontend/src/components/landing/header/header.module.css @@ -18,7 +18,7 @@ justify-content: center; color: var(--hot-fair-color-white); gap: var(--sl-spacing-large); - background-image: url("../../../assets/svgs/contour_background.svg"); + background-image: url("../../../assets/svgs/contour_background.webp"); background-size: cover; background-position: center; background-repeat: no-repeat; diff --git a/frontend/src/components/landing/header/header.tsx b/frontend/src/components/landing/header/header.tsx index 94bc389b2..1c3790ffb 100644 --- a/frontend/src/components/landing/header/header.tsx +++ b/frontend/src/components/landing/header/header.tsx @@ -9,8 +9,8 @@ import { ButtonVariant } from "@/enums"; export const Header = () => { return (
-
-
+
+

{SHARED_CONTENT.homepage.jumbotronTitle}

{SHARED_CONTENT.homepage.jumbotronHeadline}

@@ -37,7 +37,10 @@ export const Header = () => {
{SHARED_CONTENT.homepage.jumbotronImageAlt} diff --git a/frontend/src/components/landing/kpi/kpi.tsx b/frontend/src/components/landing/kpi/kpi.tsx index 2b08c081e..570a6bafe 100644 --- a/frontend/src/components/landing/kpi/kpi.tsx +++ b/frontend/src/components/landing/kpi/kpi.tsx @@ -2,41 +2,34 @@ import { API_ENDPOINTS, apiClient } from "@/services"; import { KPI_STATS_CACHE_TIME_MS } from "@/config"; import { SHARED_CONTENT } from "@/constants"; import { useQuery } from "@tanstack/react-query"; -import { useState, useEffect, FC } from "react"; +import { useState, useEffect } from "react"; import { BotIcon, FeedbackIcon, PeopleIcon, ProductionCheckmarkIcon, } from "@/components/ui/icons"; -import { IconProps } from "@/types"; -type TKPIS = { - figure?: number; - label: string; - icon: FC; -}[]; - -type TKPIResponse = { +type KPIResponse = { total_accepted_predictions: number; total_feedback_labels: number; total_models_published: number; total_registered_users: number; }; -const fetchKPIStats = async (): Promise => { +const fetchKPIStats = async (): Promise => { const { data } = await apiClient.get(API_ENDPOINTS.GET_KPI_STATS); return data; }; export const Kpi = () => { - const [enabled, setEnabled] = useState(false); + const [enabled, setEnabled] = useState(false); const { data } = useQuery({ queryKey: ["kpis"], queryFn: fetchKPIStats, refetchInterval: KPI_STATS_CACHE_TIME_MS, - enabled: enabled, + enabled, }); /** @@ -44,14 +37,11 @@ export const Kpi = () => { * This is done to allow the page to load first and then fetch the KPI stats. */ useEffect(() => { - const timer = setTimeout(() => { - setEnabled(true); - }, 1000); - + const timer = setTimeout(() => setEnabled(true), 1000); return () => clearTimeout(timer); }, []); - const KPIs: TKPIS = [ + const kpis = [ { figure: data?.total_models_published ?? 0, label: SHARED_CONTENT.homepage.kpi.publishedAIModels, @@ -75,14 +65,11 @@ export const Kpi = () => { ]; return ( -
- {KPIs.map((kpi, id) => ( -
-
- +
+ {kpis.map((kpi, id) => ( +
+
+

{ > {kpi.figure?.toLocaleString()}

-

{kpi.label}

+

{kpi.label}

))} diff --git a/frontend/src/components/layouts/footer/footer.tsx b/frontend/src/components/layouts/footer/footer.tsx index e9d2bbc2f..907be6794 100644 --- a/frontend/src/components/layouts/footer/footer.tsx +++ b/frontend/src/components/layouts/footer/footer.tsx @@ -42,12 +42,12 @@ const socials = [ export const Footer = () => { return (
-
-
+
+

{SHARED_CONTENT.footer.title}

-
+
    {footerLinks.groupOne .filter((link) => link.active) @@ -84,8 +84,8 @@ export const Footer = () => {
-
-
+
+
{

{SHARED_CONTENT.footer.copyright.secondSegment}

-
+
    {socials.map((media, id) => (
  • { href={"https://osm.org/about"} title={SHARED_CONTENT.footer.socials.ctaText} blank - className="!normal-case text-body-3 !text-white" + className="text-body-3 !normal-case !text-white" >

    {SHARED_CONTENT.footer.socials.ctaText}

    @@ -127,7 +127,7 @@ export const Footer = () => {
-
+
diff --git a/frontend/src/components/layouts/model-forms-layout.tsx b/frontend/src/components/layouts/model-forms-layout.tsx index b6b20a04a..1b1c80503 100644 --- a/frontend/src/components/layouts/model-forms-layout.tsx +++ b/frontend/src/components/layouts/model-forms-layout.tsx @@ -87,11 +87,11 @@ export const ModelFormsLayout = () => { /> -
+
-
+
{
@@ -110,7 +110,7 @@ export const ModelFormsLayout = () => { {!pathname.includes(MODELS_ROUTES.CONFIRMATION) && (
{ const navigate = useNavigate(); const handleClick = () => { - onClick ? onClick() : navigate(APPLICATION_ROUTES.HOMEPAGE); + if (onClick) { + onClick(); + } else { + navigate(APPLICATION_ROUTES.HOMEPAGE); + } }; return ( @@ -24,10 +28,10 @@ export const NavLogo = ({ {SHARED_CONTENT.navbar.logoAlt}

fAIr

diff --git a/frontend/src/components/layouts/navbar/navbar.tsx b/frontend/src/components/layouts/navbar/navbar.tsx index 6b23ccce9..a5c1dbda5 100644 --- a/frontend/src/components/layouts/navbar/navbar.tsx +++ b/frontend/src/components/layouts/navbar/navbar.tsx @@ -61,7 +61,7 @@ export const NavBar = () => {