adobe-ps-scripts-loreal/IMPLEMENTATION-PLAN.md
DJP 4a192a8c97 Initial commit: Adobe Photoshop API text management scripts
Local and cloud-based workflows for extracting and updating
text layers in PSD files via ExtendScript and Adobe PS API.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 13:46:52 -05:00

107 lines
No EOL
3.7 KiB
Markdown

# Adobe Photoshop API Implementation Plan
This document outlines the implementation plan for fixing the layer ID issue in our Adobe Photoshop API integration.
## Problem Statement
Our current implementation of the Adobe Photoshop API for text layer updates:
- Successfully connects to the API
- Uploads files to Google Cloud Storage
- Gets valid presigned URLs
- Receives 202 Accepted responses from the API
- Processes complete successfully according to status URLs
- **BUT**: Text layer changes don't appear in the output file
The root cause is a mismatch between the layer IDs we use and the internal IDs that Adobe Photoshop API recognizes.
## Implementation Plan
### Phase 1: ExtendScript Implementation (3 days)
1. Create a robust ExtendScript for extracting accurate layer IDs from PSD files
2. Add functionality to map layer names/paths to internal IDs
3. Test the script on various PSD files to ensure accuracy
4. Create a Mac-specific implementation using AppleScript to drive Photoshop
#### Deliverables:
- `extract_internal_ids.jsx`: ExtendScript file
- `mac_extract_ids.py`: Python wrapper for Mac
- Documentation for the ID extraction process
### Phase 2: JSON Format Update (2 days)
1. Modify the JSON generation process to include internal layer IDs
2. Update the JSON schema to accommodate both user-friendly IDs and internal IDs
3. Create a conversion utility to update existing JSON files
4. Update documentation for the JSON format
#### Deliverables:
- Updated JSON schema
- `update_json_schema.py`: Utility to update existing JSON files
- Updated documentation
### Phase 3: API Integration (3 days)
1. Update the Adobe API integration to use internal layer IDs
2. Implement a fallback mechanism for when internal IDs are not available
3. Add more robust error handling and validation
4. Test the integration with various PSD files
#### Deliverables:
- Updated `adobe_ps_api.py` with internal ID support
- Enhanced error handling and logging
- Test suite for validation
### Phase 4: Workflow Integration (2 days)
1. Update the batch processing scripts to use the new approach
2. Create a unified workflow that works for both local and API processing
3. Implement a hybrid approach that can fall back to local processing when needed
4. Update user documentation
#### Deliverables:
- Updated batch processing scripts
- Unified workflow implementation
- User documentation
## Timeline
- **Total Estimated Time**: 10 working days
- **Priority**: High - This is a critical feature for our workflow
- **Dependencies**: Access to Adobe Photoshop on Mac for testing
## Success Criteria
The implementation will be considered successful when:
1. Text layer updates consistently work through the API
2. The workflow is as automated as possible
3. There is a fallback mechanism for complex files
4. Documentation is comprehensive and user-friendly
## Risks and Mitigations
| Risk | Impact | Mitigation |
|------|--------|------------|
| Adobe API changes | High | Monitor Adobe documentation for updates |
| ExtendScript compatibility issues | Medium | Test on multiple Photoshop versions |
| Complex PSD structures | Medium | Implement fallback to local processing |
| Performance with large files | Low | Optimize file handling and implement progress reporting |
## Long-term Considerations
For future versions, consider:
1. Caching layer IDs to avoid repeated extraction
2. Creating a more robust layer mapping system
3. Implementing direct integration with Adobe Creative Cloud Libraries API
4. Building a web interface for managing text updates
---
## Next Steps
1. Approve this implementation plan
2. Assign resources to each phase
3. Begin development of ExtendScript implementation
4. Schedule regular check-ins to monitor progress