The upscale function called runPythonWithProgress without a timeout parameter,
defaulting to the bridge's 10-minute hard limit. On CPU-only systems like
Synology NAS devices, Real-ESRGAN 4x upscaling easily exceeds this for modest
images. Additionally, when the timeout fired on the dispatcher path, the Python
process was left running and blocked all subsequent AI operations.
This fix adds an adaptive timeout based on input megapixels, scale factor, and
GPU availability (180s/effective-MP on CPU, 30s/effective-MP on GPU, floor of
10 minutes). It also kills the dispatcher on timeout so subsequent requests can
proceed via a fresh restart.
Closes#119
The dispatcher was lazy-initialized on first AI request, but a race
condition meant the first call always missed it (dispatcherReady still
false) and fell through to cold per-request Python. initDispatcher()
starts the dispatcher eagerly and returns a Promise that resolves with
GPU status once ready (or after a timeout).
The close handler called recordCrash() unconditionally, even for exit
code 0 (normal MAX_REQUESTS restart). After 5 normal cycles within 60s
the dispatcher was permanently disabled. Now only non-zero exits count.
Add ~500 new E2E tests and ~300 new integration tests covering:
- 24 new GUI E2E specs: navigation, responsive layout, keyboard shortcuts,
tool UI for all 35 non-AI tools, batch/pipeline workflows, settings/RBAC,
visual regression, accessibility, and performance budgets
- 3 new E2E-Docker specs: batch workflows, advanced pipelines, cross-format
- 1 new adversarial integration test: memory pressure, corrupted files,
unicode filenames, extreme dimensions, pipeline/batch edge cases
- 29 expanded integration test files: HEIC/HEIF input, large files, parameter
boundaries, batch processing, format edge cases across all tools
- Cross-format matrix expanded: 641 tests covering every tool x 18 formats
- AI bridge unit tests expanded: lifecycle, tool modules, error propagation
- Unit test gaps filled: analytics, tool-registry, web stores
Also fixes:
- vitest.config.ts: exclude e2e-docs and e2e-landing from Vitest runner
- AI E2E specs: add sidecar health check to skip gracefully when Python
AI backend is not running instead of timing out
- Unit: 1,353 tests (42 files) — +256 new tests covering AI bridge
modules, image-engine sharpen/optimize-for-web, Zustand stores, and
icon-map validation
- Integration: 1,640 tests (57 files) — +826 new tests across all
tool routes, pipeline/progress/batch infrastructure, user-files,
edit-metadata, and a 321-test cross-format matrix
- E2E-Docker: 389 passing (20 spec files) — 6 new spec files for
batch processing, format conversion, layout, optimization,
watermark/overlay, and pipeline chains. Tests verified against fresh
Docker container with all 6 AI bundles installed.
Bug fixes discovered during testing:
- fix(compress): SVG/BMP/exotic formats crashed Sharp encoder — added
format-safety fallback to PNG
- fix(rate-limit): increase default login attempt limit from 10 to 500
per minute — previous value caused false test failures and is too
restrictive for a self-hosted app
- fix(auth.setup): wait for consent button visibility before clicking
to prevent flaky E2E-Docker auth setup
SnapOtter