Siddharth Kumar Sah
1cbdfa1590
feat: add worker threads, persistent Python sidecar, graceful shutdown, and architectural improvements
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- Graceful shutdown: SIGTERM/SIGINT handlers drain HTTP, stop workers, close DB
- Thumbnail caching: disk-cached thumbnails with immutable Cache-Control headers
- Worker thread pool: Piscina offloads Sharp processing off the main event loop
- Persistent Python dispatcher: pre-imports ML libraries, eliminates cold-start latency
- Tool page registry: declarative tool-to-component mapping replaces 750-line switch
- File store cleanup: remove dead derived fields, stable files array reference
- Job persistence: progress written to SQLite jobs table, stale jobs recovered on startup
2026-03-29 17:23:41 +08:00
Siddharth Kumar Sah
585d66f0c9
refactor: rename Tool.alpha to Tool.experimental
2026-03-26 01:10:51 +08:00
Siddharth Kumar Sah
80e536bcf8
chore: remove dead code, add test infrastructure, update docs
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- Delete 3 dead files: use-batch-processor.ts, use-i18n.ts, smart-crop.ts (AI package)
- Remove dead getJobProgress function and unused runPythonScript wrapper
- Remove 6 unused imports across API and web apps
- Remove unused shared types (ImageFormat, AppConfig, ApiError, HealthResponse, JobProgress)
and constants (SUPPORTED_INPUT_FORMATS/OUTPUT_FORMATS, DEFAULT_OUTPUT_FORMAT)
- Remove unused store method (setOriginalBlobUrl) and clean AI package re-exports
- Add test infrastructure: vitest config, unit/integration/e2e tests, fixtures, screenshots
- Add Docker test infrastructure: Dockerfile.test, docker-compose.test.yml
- Add download_models.py for pre-baking AI model weights in Docker
- Add filename sanitization utility (apps/api/src/lib/filename.ts)
- Update .gitignore to exclude coverage/, *.tsbuildinfo, .superpowers/, test artifacts
- Update .dockerignore to exclude test/coverage/IDE artifacts from builds
- Update docs: remove smart crop from AI docs (uses Sharp directly), update bridge docs
2026-03-23 11:46:45 +08:00
Siddharth Kumar Sah
acb230cc98
feat(ai): add onProgress callback to all AI wrapper functions
2026-03-23 01:39:52 +08:00
Siddharth Kumar Sah
7d74ddd3a6
feat(ai): rewrite bridge.ts to stream stderr progress via spawn
2026-03-23 01:37:12 +08:00
Siddharth Kumar Sah
4807bd2726
feat: add semantic-release for automated versioning and help dialog
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- Set up semantic-release with zero-touch CI pipeline on push to main
- Add version sync script to keep all package.json files and APP_VERSION
constant in sync automatically
- Consolidate Docker publishing into single tag-triggered workflow that
pushes to both Docker Hub and ghcr.io with semver tags
- Add help dialog with keyboard shortcuts, getting started guide, and
resource links
- Sync all versions to 0.2.1 to match Docker Hub latest
2026-03-22 21:25:14 +08:00
Siddharth Kumar Sah
fb1d366d5f
fix: use U2-Net as default model (fast, 2s) with BiRefNet as opt-in
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BiRefNet-Lite times out on first load (~60s+ for 973MB model).
U2-Net works in 2 seconds. Users can still select BiRefNet for
higher quality when they're willing to wait. Added timing hints
in model descriptions and increased timeout for BiRefNet models.
2026-03-22 21:08:37 +08:00
Siddharth Kumar Sah
977b5f5ec0
fix: bridge.ts ENOENT check for Python venv fallback
2026-03-22 20:52:51 +08:00
Siddharth Kumar Sah
818d2acd94
fix: Python bridge fallback only on missing venv, not script errors
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The bridge.ts catch block was catching ALL errors from the venv Python
and falling back to system python3. This masked real script errors
(like rembg model loading failures) by reporting "rembg not installed"
from the system python3 fallback. Now only falls back on ENOENT (venv
binary not found).
2026-03-22 20:41:04 +08:00
Siddharth Kumar Sah
5524939b6f
feat: add Phase 4 AI tools with Python bridge and 6 new tools
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Add Python bridge (packages/ai/src/bridge.ts) that calls Python scripts
via child_process with venv-first fallback to system python3. Implements
6 AI-powered tools:
- Remove Background: rembg-based with U2-Net/IS-Net models
- Image Upscaling: Real-ESRGAN with Lanczos fallback
- OCR/Text Extraction: Tesseract + PaddleOCR engines
- Face/PII Blur: MediaPipe face detection with configurable blur
- Object Eraser: LaMa inpainting with mask-based input
- Smart Crop: Sharp attention-based entropy cropping (no Python needed)
Each tool includes: Python script, TypeScript wrapper, API route,
and React settings component. All Python scripts handle ImportError
gracefully with clear installation messages.
2026-03-22 04:31:49 +08:00
Siddharth Kumar Sah
19e48203bb
feat: add image-engine and ai stub packages
2026-03-22 02:44:46 +08:00
Siddharth Kumar Sah