4080638856
Replace the Redis queue + Python worker daemon with a synchronous HTTP call to a Cloud Run service, eliminating Redis and simplifying the infrastructure from 4 containers (web, worker, redis, postgres) to just web + postgres (with Cloud Run handling processing). - Add cloudrun_service.py: Flask app wrapping EnterprisePDFChecker with POST /check and GET /health endpoints, GCS image upload - Add Dockerfile.cloudrun + requirements-cloudrun.txt for Cloud Run image - Add cloudbuild.yaml for Cloud Build with custom Dockerfile - Rewrite api.php: remove all Redis code, add Cloud Run OIDC auth (getCloudRunToken), synchronous processing in handleCheck(), file-based rate limiting, GCS redirect in handleImage(), DB helper updateJobInDatabase() - Update js/upload.js: handle synchronous completed response from Cloud Run, increase poll timeout to 15 minutes - Update js/page-viewer.js: use GCS URLs directly for page images - Simplify docker-compose.yml and docker-compose.prod.yml: remove worker and redis services - Remove PHP Redis extension from Dockerfile.web - Set 900s timeouts across nginx, PHP-FPM, gunicorn, curl, and Cloud Run - Update cleanup.py: remove result_images pattern (now on GCS), add rate_limits cleanup - Update .env.example: replace Redis vars with Cloud Run/GCS config Cloud Run service deployed to: https://pdf-checker-bcb6ipdqka-uc.a.run.app GCS bucket: gs://optical-pdf-images (7-day lifecycle, public read) GCP project: optical-414516 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
51 lines
474 B
Text
51 lines
474 B
Text
# Environment variables (contains API keys)
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.env
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.keys
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.api_keys
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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venv/
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env/
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ENV/
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# Cache
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.cache/
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*.cache
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# Reports
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*.json
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reports/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# OS
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.DS_Store
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Thumbs.db
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# Docker volumes (local data)
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pg-data/
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# GCP service account keys
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*-key.json
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*-credentials.json
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# Rate limit data
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rate_limits/
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# Coverage
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.coverage
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htmlcov/
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# Uploads and results (runtime data)
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uploads/
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results/
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logs/
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