SnapOtter

1,009 Commits 10 Branches 89 Tags

3 Commits

Include renames

Author	SHA1	Message	Date
ashim-hq	37277e5c09	fix: resolve ONNX CUDA fallback, Docker e2e infrastructure, and all test failures - Add safe_onnx_session() to gpu.py with graceful CUDA EP → CPU fallback - Replace bare ort.InferenceSession() calls across colorize, restore, inpaint, remove_bg - Add libcublas-12-6 to production Dockerfile for ONNX Runtime CUDA EP - Add skipIfFeatureNotInstalled guards to remove-bg, blur-faces, smart-crop, ocr, noise-removal e2e specs - Add AI tool install prompt detection in tools-all.spec.ts - Add smart-crop to PYTHON_SIDECAR_TOOLS so frontend shows install prompt correctly - Create Dockerfile.test.dockerignore to include tests/ in test image builds - Add libheif-examples and exiftool to Dockerfile.test for HEIC and metadata tests - Regenerate visual regression baselines for Docker/Linux and skip on non-Docker platforms	2026-04-20 20:53:54 +08:00
ashim-hq	f67a03bb36	fix: resolve all audit findings — e2e coverage, feature system hardening, visual baselines - Add 8 new E2E specs for AI tools (upscale, enhance-faces, colorize, restore-photo, erase-object, smart-crop, passport-photo, red-eye-removal) closing all HIGH/MEDIUM coverage gaps from the test matrix audit - Fix ensureAiDirs() crash on non-Docker environments by gating on isDockerEnvironment() — prevents ENOENT when /data doesn't exist - Bump torch 2.6.0→2.7.0 and torchvision 0.21.0→0.22.0 in feature manifest for broader Python version compatibility - Add Python 3.14 version guard warning in install_feature.py - Remove duplicate torchvision shims from upscale.py and enhance_faces.py (dispatcher.py already handles this at startup) - Remove orphaned tools.batch i18n key and dead pipeline-builder filter - Regenerate 4 visual regression baselines for current UI state - Add data-testid to passport-photo generate button for E2E testability	2026-04-20 18:47:59 +08:00
Siddharth Kumar Sah	80e536bcf8	chore: remove dead code, add test infrastructure, update docs - 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

Author

SHA1

Message

Date

ashim-hq

37277e5c09

fix: resolve ONNX CUDA fallback, Docker e2e infrastructure, and all test failures

- Add safe_onnx_session() to gpu.py with graceful CUDA EP → CPU fallback
- Replace bare ort.InferenceSession() calls across colorize, restore, inpaint, remove_bg
- Add libcublas-12-6 to production Dockerfile for ONNX Runtime CUDA EP
- Add skipIfFeatureNotInstalled guards to remove-bg, blur-faces, smart-crop, ocr, noise-removal e2e specs
- Add AI tool install prompt detection in tools-all.spec.ts
- Add smart-crop to PYTHON_SIDECAR_TOOLS so frontend shows install prompt correctly
- Create Dockerfile.test.dockerignore to include tests/ in test image builds
- Add libheif-examples and exiftool to Dockerfile.test for HEIC and metadata tests
- Regenerate visual regression baselines for Docker/Linux and skip on non-Docker platforms

2026-04-20 20:53:54 +08:00

ashim-hq

f67a03bb36

fix: resolve all audit findings — e2e coverage, feature system hardening, visual baselines

- Add 8 new E2E specs for AI tools (upscale, enhance-faces, colorize,
  restore-photo, erase-object, smart-crop, passport-photo, red-eye-removal)
  closing all HIGH/MEDIUM coverage gaps from the test matrix audit
- Fix ensureAiDirs() crash on non-Docker environments by gating on
  isDockerEnvironment() — prevents ENOENT when /data doesn't exist
- Bump torch 2.6.0→2.7.0 and torchvision 0.21.0→0.22.0 in feature
  manifest for broader Python version compatibility
- Add Python 3.14 version guard warning in install_feature.py
- Remove duplicate torchvision shims from upscale.py and enhance_faces.py
  (dispatcher.py already handles this at startup)
- Remove orphaned tools.batch i18n key and dead pipeline-builder filter
- Regenerate 4 visual regression baselines for current UI state
- Add data-testid to passport-photo generate button for E2E testability

2026-04-20 18:47:59 +08:00

Siddharth Kumar Sah

80e536bcf8

chore: remove dead code, add test infrastructure, update docs

- 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