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>
41 lines
1.6 KiB
Text
41 lines
1.6 KiB
Text
# Enterprise PDF Accessibility Checker - Environment Variables
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# Copy this file to .env and fill in your API keys
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# Anthropic Claude API Key (required for AI image analysis)
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# Get your key from: https://console.anthropic.com/
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ANTHROPIC_API_KEY=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
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# Google Cloud Vision API (OPTIONAL - for enhanced image analysis)
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# IMPORTANT: Comment out or remove lines you're not using!
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#
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# Option 1: Use credentials file path (UNCOMMENT and set path if using)
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# GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/google-credentials.json
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# Option 2: Or use API key directly (UNCOMMENT and set key if using)
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GOOGLE_API_KEY=AIzaSyDWVxBWiDTeECqapiUpbXJadrxqcoA9tus
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# Note: You only need ONE of the Google options above, not both
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# The credentials file method is recommended for production use
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# Development mode - set to 'true' for localhost auth bypass
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DEV_MODE=true
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# Database (PostgreSQL) - used in Docker setup
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DB_HOST=postgres
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DB_PORT=5432
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DB_NAME=pdf_checker
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DB_USER=pdf_checker
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DB_PASSWORD=change_me_in_production
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# Cloud Run - PDF processing service
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# Set this to your deployed Cloud Run URL (leave empty for local Python fallback)
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CLOUD_RUN_URL=https://pdf-checker-bcb6ipdqka-uc.a.run.app
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# Path to GCP service account key for authenticating to Cloud Run
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GCP_SA_KEY_PATH=./pdf-api-invoker-key.json
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# GCS bucket for page images
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GCS_BUCKET_NAME=optical-pdf-images
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# Azure AD / MSAL Authentication
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AZURE_TENANT_ID=e519c2e6-bc6d-4fdf-8d9c-923c2f002385
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AZURE_CLIENT_ID=9079054c-9620-4757-a256-23413042f1ef
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AZURE_REDIRECT_URI=https://ai-sandbox.oliver.solutions/pdf-accessibility
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