DJP
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b4e004c822
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Complete Python automation implementation - All components built
MAJOR MILESTONE: Complete Python automation system created!
Components Implemented:
✅ Box Client (box_client.py)
- JWT authentication via boxsdk
- Upload with tracking ID suffix
- Download files
- Campaign folder creation
- Connection testing
✅ Database Client (database.py)
- PostgreSQL connection pooling
- generate_unique_tracking_id()
- store_master_asset() with full_metadata JSONB
- get_master_asset(tracking_id)
- check_campaign_upload_complete() - ALL-DONE CHECK!
- store_derivative_asset()
- Connection testing
✅ Filename Parser (filename_parser.py)
- V2 naming convention parser (ported from PHP)
- parse_filename() - 10 components
- strip_upload_components() - Remove Job# and Tracking ID
- Strict validation with detailed errors
✅ Metadata Extractor MVP (metadata_extractor_mvp.py)
- Extract 28 MVP fields from master
- Update fields from V2 filename (Description, Language, State)
- Add missing fields with defaults
- Build asset representation for upload
✅ Notifier (notifier.py)
- Mailgun email integration
- Outgoing webhook sender
- Email templates (success, error, partial, critical)
- Configurable recipients
Main Scripts:
✅ A1→A2 Download (a1_to_a2_download.py)
- Poll DAM every 5 minutes for A1 campaigns
- Download all master assets
- Upload to Box with tracking IDs
- Store in DB with full metadata
- ALL-DONE CHECK before status update
- Update A1→A2 only if all assets successful
- Send webhook with campaign ID/number
- Email notifications
✅ A2→A3 Upload (a2_to_a3_upload.py)
- Flask webhook receiver for Box uploads
- Signature validation
- Async task queue processing
- Parse V2 filenames
- Load master metadata
- Extract MVP fields
- Upload to DAM
- ALL-DONE CHECK for campaign
- Update A2→A3 when all assets uploaded
- Send webhook notifications
✅ Test Connection Script (test_connection.py)
- Verify DAM, Box, Database connectivity
- Quick health check
✅ README.md
- Complete setup guide
- Usage instructions
- Configuration examples
- Troubleshooting
Key Features:
- Python 3.6+ compatible (server requirement)
- Virtual environment isolated
- Configuration-driven (YAML files)
- Easy field updates (no code changes)
- Environment switching (staging/production)
- Comprehensive error handling
- Email + webhook notifications
- Retry logic
- All-done checks before status updates
- Campaign webhook notifications
Ready for testing locally with Python 3.10!
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-10-30 16:49:14 -04:00 |
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DJP
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9dc272f8bf
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Start Python automation - Foundation components
Created Python-Version/ directory structure:
✅ Complete folder hierarchy (scripts, config, logs, temp, tests)
✅ Virtual environment setup script
✅ Python 3.6+ compatible dependencies
✅ Configuration system with env var substitution
✅ DAM API client (complete)
Components Implemented:
1. setup.sh - venv creation and dependency installation
2. requirements.txt - Python 3.6/3.10 compatible packages
3. config/config.yaml - Main configuration (URLs, credentials, settings)
4. config/field_mappings.yaml - MVP fields list (easy to edit!)
5. config_loader.py - YAML config with ${VAR} substitution
6. dam_client.py - Complete DAM API wrapper:
- OAuth2 with auto-refresh
- search_campaigns(status)
- get_master_assets(campaign_id)
- download_asset(asset_id)
- upload_asset() with video metadata
- update_campaign_status()
- Helper methods
Features:
- Python 3.6 compatible (shared hosting requirement)
- Python 3.10 compatible (local development)
- Configuration-driven (no hardcoded values)
- Environment-specific configs (staging/production)
- Comprehensive error handling
- Logging built-in
Next: Box client, Database client, FilenameParser, MetadataExtractorMVP,
Notifier, then main scripts (A1→A2, A2→A3)
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-10-30 16:38:26 -04:00 |
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