External/SnapOtter
1
0
Fork 0
mirror of https://github.com/snapotter-hq/SnapOtter.git synced 2026-08-03 07:46:42 +02:00
Code Issues Packages Projects Releases Wiki Activity

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

Browse Source 
- 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
This commit is contained in:
Siddharth Kumar Sah
2026-03-23 11:46:45 +08:00
parent 8db84a753c
commit 80e536bcf8
74 changed files with 7247 additions and 487 deletions
Download Patch File Download Diff File Expand all files Collapse all files
apps/docs/api/ai.md
+6 -16
View File
@@ -71,25 +71,15 @@ Takes an image and a mask (white = area to erase, black = keep). Returns the inp
**Python script:** `packages/ai/python/inpaint.py`
## Smart crop
Content-aware cropping that identifies the most relevant region of an image.
| Parameter | Type | Description |
|---|---|---|
| `width` | number | Target crop width |
| `height` | number | Target crop height |
Unlike regular cropping, smart crop analyzes the image content to decide where to place the crop window.
## How the bridge works
The TypeScript bridge (`packages/ai/src/bridge.ts`) does the following for each AI call:
The TypeScript bridge (`packages/ai/src/bridge.ts`) exposes a single function, `runPythonWithProgress`, that does the following for each AI call:
1. Writes the input image to a temp file in the workspace directory.
2. Spawns a Python subprocess with the appropriate script and arguments.
3. Reads stdout for JSON output and stderr for error messages.
4. Reads the output image from the filesystem.
5. Cleans up temp files.
3. Parses JSON progress lines from stderr (e.g. `{"progress": 50, "stage": "Processing..."}`) and forwards them via an `onProgress` callback for real-time SSE streaming.
4. Reads stdout for JSON output.
5. Reads the output image from the filesystem.
6. Cleans up temp files.
If the Python process exits with a non-zero code or writes to stderr, the bridge throws an error with the stderr content. Timeouts are handled at the API route level.
If the Python process exits with a non-zero code, the bridge extracts a user-friendly error from stderr/stdout and throws. Timeouts default to 5 minutes.