Pipeline steps and batch size are now unlimited by default. The old
"20 steps" and "200 images" figures had no basis in the actual code
(MAX_BATCH_SIZE already defaulted to 0/unlimited). Both remain
configurable via MAX_PIPELINE_STEPS and MAX_BATCH_SIZE env vars.
Also includes updated hardware requirements and sidebar nav from
prior documentation audit.
Closes the last coverage gap from the master test matrix - 11 tests
covering toggle behavior, control visibility, input validation,
square mode, slider ranges, and end-to-end processing for PNG/HEIC.
When auth was disabled, users could log out, reach the login page,
and authenticate with the default admin/admin credentials to gain
full admin privileges — defeating the purpose of AUTH_ENABLED=false.
Defense-in-depth fix across five layers:
- Skip ensureDefaultAdmin() when auth is disabled (no admin user seeded)
- Return 403 from POST /api/auth/login when auth is disabled
- Return synthetic anonymous user from GET /api/auth/session when auth is disabled
- Hide logout button in settings when auth is disabled
- Redirect /login and /change-password to / via AuthGuard when auth is disabled
Closes#90
Establishes Contributor Covenant 2.1 as the project Code of Conduct with
reporting to ashim.hq@gmail.com. Adds a community guide with the 5-category
Discussions layout, a pinned Welcome post draft, and seed post ideas.
The auth setup project accepts analytics consent for the admin user
before tests run. The E2E tests incorrectly expected the consent page
to appear on subsequent logins. Fixed by:
- analytics-consent: verify home loads without consent redirect instead
of expecting the consent page to appear
- analytics-privacy-policy: use getByRole("link") for PostHog/Sentry
links to avoid matching multiple elements with getByText
- analytics-no-data-leak: use page.evaluate with in-browser auth token
to toggle analytics via API instead of separate login calls that hit
the rate limiter; handle both "/" and "/analytics-consent" post-login
* feat: allow multi-file selection for automation pipeline
Add two ways to import server-stored files into the pipeline:
1. Files page: "Pipeline" bulk action button and "Open in Pipeline"
button in file details panel — navigates to /automate with selected
file IDs via React Router state.
2. Automate page: "Import from Library" button opens a modal with
thumbnails, search, and multi-select checkboxes to pick files from
the user's server-stored library.
Both paths download the selected files and load them into the existing
useFileStore, reusing the batch pipeline processing infrastructure.
Closes#35
* fix: resolve 8 pre-existing test failures across unit and integration suites
- file-validation.ts: Return valid:false when Sharp fails to read
metadata for standard formats (PNG, JPEG, BMP) instead of silently
accepting corrupt buffers. CLI-decoded formats already skip Sharp.
- pipeline.ts: Enforce hard cap of 20 steps via .max() instead of
relying on MAX_PIPELINE_STEPS env var (default 0 = unlimited).
Tighten name limit to 100 chars and description to 500 chars to
match test expectations.
- env.ts: Change MAX_LOGO_SIZE_KB default from 2048 to 500 to match
the branding upload size limit the tests verify.
- Convert all AI bridge inputs to PNG before writing to disk so PIL can
read AVIF/WebP/TIFF (7 bridge files; face-detection and OCR already
had this pattern)
- Add title/author aliases to edit-metadata schema so common field names
actually write EXIF tags instead of being silently stripped by Zod
- Port extend/pad crop logic from passport-photo single endpoint to the
batch pipeline so crop regions extending beyond the image get filled
with background color instead of producing all-white output
- Clamp quantized color channels to 255 in color-palette to prevent
Math.round(255/16)*16=256 from producing invalid hex like #100100100
- Compare OCR fallback warning against expected engine name per tier
instead of comparing engine name against tier name (always mismatch)
When model is set to "auto", CodeFormer failure previously threw an
error telling users to manually switch to GFPGAN. Now it falls back
to GFPGAN automatically, matching the graceful degradation pattern
already used in OCR.
When auth was disabled, the backend middleware attached the first admin
user from the database to every request, and the frontend granted all 12
permissions. This gave every unauthenticated visitor full admin access
to user management, settings, teams, branding, and feature installation.
Now both layers use role "user" with user-level permissions so tools,
files, and pipelines still work without login while admin-only routes
correctly return 403.
Closes#72
Closes#73
AVIF was already supported in the core engine, convert, compress,
optimize-for-web, upscale, erase-object, svg-to-raster, and
pdf-to-image tools. This adds AVIF as an output format option to
the 6 tools that were missing it: split, collage, stitch,
image-to-base64, noise-removal, and red-eye-removal.
For each tool, both the frontend format selector (with quality
slider for AVIF's lossy encoding) and the backend Zod schema +
Sharp .avif() encoding were updated. AVIF defaults: quality from
the user slider, effort 4 (balanced encode speed).
Also fixes pre-existing Biome formatting violations in 5 files
that were blocking a clean lint pass.
The <select> for Default Tool View was an uncontrolled dead control with
no value binding, no onChange handler, and no save mechanism. This wires
it up end-to-end:
- Add defaultToolView to the Zustand settings store
- Load the persisted value from the settings API on mount
- Bind the <select> with value/onChange
- Add Save Settings button mirroring SystemSection's pattern
- Redirect home page to /fullscreen when defaultToolView is "fullscreen"
Closes#75
1. split batch 404: register split tool in batch registry via
registerToolProcessFn() so /api/v1/tools/split/batch works
2. CodeFormer crash: inference_app() expects a file path, not a numpy
array. Save to temp file before calling, read result back.
3. OCR fallback chain: fix case-sensitive "Segmentation fault" match
that prevented PaddleOCR crash from triggering Tesseract fallback.
Also add "process crashed" check. Upgrade ARM paddlepaddle to >=3.2.1.
4. blur-faces large images: downscale to 1920px max before MediaPipe
detection, scale coordinates back. Also add rotation retry for
portrait-oriented images where BlazeFace misses faces. Applied to
detect_faces.py, enhance_faces.py, and restore.py.
5. color-adjustments tool ID: fix mismatch in index.ts registration
array (was "color-adjustments", should be "adjust-colors").
The connection-monitor.tsx component was referenced in App.tsx but the
file was missing, causing TypeScript compilation failure during Docker
build. This component combines the useConnectionMonitor hook with
the ConnectionBanner UI.
The info tool reads metadata directly via Sharp without going through
the format decoder pipeline. Added CLI format detection and decoding
before metadata read, matching the pattern used by all other tools.
ashim-hq