- Remove Docker deployment files (1panel doesn't use Docker)
- Unify .env files: .env.example -> .env (single config file)
- Merge start.sh and start-prod.sh into unified start.sh with --prod flag
- Update setup_dev_env.sh to use .env instead of .env.local
- Add DEPLOY.md with 1panel deployment guide
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update config.py to read both .env and .env.local (with .env.local priority)
- Move DIFY API settings from hardcoded values to environment configuration
- Remove unused PADDLEOCR_MODEL_DIR setting (models stored in ~/.paddleocr/)
- Remove deprecated argostranslate translation settings
- Add DIFY settings: base_url, api_key, timeout, max_retries, batch limits
- Update dify_client.py to use settings from config.py
- Update translation_service.py to use settings instead of constants
- Fix frontend env files to use correct variable name VITE_API_BASE_URL
- Update setup_dev_env.sh with correct PaddlePaddle version (3.2.0)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add unified start.sh script with subcommands (all/backend/frontend)
- Add process management (--stop, --status)
- Remove separate start_backend.sh and start_frontend.sh
- Update setup_dev_env.sh with pre-flight checks and --cpu-only/--skip-db options
- Update .env.example to remove sensitive data and add DIFY translation config
- Add .pid/ to .gitignore for process management
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Updates all project documentation to reflect that chart recognition
is now fully enabled with PaddlePaddle 3.2.1+.
Changes:
- README.md: Remove Known Limitations section about chart recognition,
update tech stack and prerequisites to include PaddlePaddle 3.2.1+,
add WSL CUDA configuration notes
- openspec/project.md: Add comprehensive chart recognition feature
descriptions, update system requirements for GPU/CUDA support
- openspec/changes/add-gpu-acceleration-support/tasks.md: Mark task
5.4 as completed with resolution details
- openspec/changes/add-gpu-acceleration-support/proposal.md: Update
Known Issues section to show chart recognition is now resolved
- setup_dev_env.sh: Upgrade PaddlePaddle from 3.0.0 to 3.2.1+, add
WSL CUDA library path configuration, add chart recognition API
verification
All documentation now accurately reflects:
✅ Chart recognition fully enabled
✅ PaddlePaddle 3.2.1+ with fused_rms_norm_ext API
✅ WSL CUDA path auto-configuration
✅ Comprehensive PP-StructureV3 capabilities
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
PaddleOCR-VL chart recognition model requires `fused_rms_norm_ext` API
which is not available in PaddlePaddle 3.0.0 stable release.
Changes:
- Set use_chart_recognition=False in PP-StructureV3 initialization
- Remove unsupported show_log parameter from PaddleOCR 3.x API calls
- Document known limitation in openspec proposal
- Add limitation documentation to README
- Update tasks.md with documentation task for known issues
Impact:
- Layout analysis still detects/extracts charts as images ✓
- Tables, formulas, and text recognition work normally ✓
- Deep chart understanding (type detection, data extraction) disabled ✗
- Chart to structured data conversion disabled ✗
Workaround: Charts saved as image files for manual review
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changes to setup_dev_env.sh:
- Add support for CUDA 13.x (install CUDA 12.x compatible version)
- Use official PaddlePaddle source for GPU versions
- Install paddlepaddle-gpu==3.0.0b2 from official index
- CUDA 13.x: use cu123 package (backward compatible)
- CUDA 12.x: use cu123 package
- CUDA 11.7+: use cu118 package
- CUDA 11.2-11.6: use cu117 package
Changes to requirements.txt:
- Comment out paddlepaddle dependency
- Let setup script handle GPU/CPU version installation
This fixes the issue where pip installed CPU-only paddlepaddle 3.2.1
instead of GPU version, causing GPU acceleration to be unavailable.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
