On mobile browsers 100vh is the tall viewport (URL bar retracted), so the
full-height shells (h-screen + overflow-hidden) rendered their bottom strip
below the visible area with no way to scroll to it. After an upload the tool
page's bottom control is the "Process" peek bar, so it landed off-screen on
every tool.
Switch the fixed-height shells from h-screen (100vh) to h-dvh (100dvh), which
tracks the visible viewport. AppLayout covers every tool page; the same sweep
covers the editor, login, change-password, 404, and the error/loading screens.
On desktop dvh equals vh, so desktop is unchanged. Adds a source-level guard
(tests/unit/web/app-shell-viewport.test.ts) since headless Chromium has no URL
bar and cannot reproduce the bug.
Comprehensive telemetry quality improvements across Sentry and PostHog, grounded in an audit of the live data plus current best-practice research.
Sentry: job_id/instance_id tags, operational fingerprinting, PII-safe settings context on bug events, web tag population + extension-noise filtering, an early-crash buffer, http status/method kept on breadcrumbs, and a gated-off-by-default performance-tracing re-enable (tracesSampler that zeroes db/redis/queue-poll root spans + drops the Redis integration) with worker job spans and canonical-host cron monitors.
PostHog: history_change SPA pageviews, instance_id super property for fleet rollups, enriched tool_used (formats, byte sizes, is_batch, execution_hint, real error_kind taxonomy), the previously-dead result_saved/batch_processed/ai_bundle_prompted events fired, search click-through, editor + Automate authoring + auth instrumentation, a before_send PII boundary, and minimal opt-in landing-site pageviews.
A genuine pdf.js load failure (corrupt or password-protected file) was swallowed by the same catch that silences teardown rejections, leaving a blank canvas that looks like it is still loading. The two cases are now distinguished by the load effect's cancelled flag, and a real failure renders a clear message pointing at Unlock PDF for encrypted files. New loadFailed string in all 21 locales.
Item 4 of #478.
The password policy toggles (uppercase, lowercase, digit, special) can all be switched off in Settings -> Security, but the minimum-length input clamped at 4, so homelab admins couldn't deliberately allow short passwords. The API never enforced a floor; only the UI did. Lower the input floor to 1 and pin it with a test.
Closes#136
Fixes#533, found while working on #529/#531.
OIDC and SAML logins hard-blocked on the MFA policy with zero check of whether the user actually enrolled TOTP, and no challenge step at all. Once an admin turned on an MFA-required policy, every SSO user was permanently locked out regardless of enrollment status.
- Extract the post-auth MFA decision (challenge / enrollment-required / proceed) into a shared, unit-tested function so OIDC and SAML can't independently diverge again
- An already-enrolled user now gets a real challenge (reusing the existing, auth-method-agnostic MFA completion flow) instead of being blocked
- An unenrolled user under a required policy gets a distinct, correctly mapped error instead of the old generic one
- Fix a real fail-open regression caught in review: a transient DB error during the enrollment-status check could have silently skipped MFA entirely for an enrolled user; now it fails closed and logs
- Strip the one-time challenge token from the URL after consuming it
Fixes#529 (opened investigating #515).
Setting MFA policy to "required"/"admins only" saved regardless of whether the mfa enterprise feature was licensed, and there was no enrollment UI at all, so any instance that flipped the toggle locked every unenrolled user out with no way back in. The login page and Settings save also both collapsed the resulting error into a generic message, hiding the real reason.
- Reject saving mfaPolicy to admins_only/required server-side unless mfa is licensed
- Surface the specific server error on login and on a failed settings save instead of a generic fallback
- Add a self-service two-factor authentication enrollment flow (QR code, manual entry, recovery codes, verify, disable) so a licensed admin can actually satisfy the policy before it's enforced
- Fix a pending-enrollment dead end, silent error swallowing in verify/disable, and a silent clipboard-copy failure on the recovery codes screen
- Add the integration test that actually proves the fix: a real login attempt returns 403 MFA_ENROLLMENT_REQUIRED
Add a proportion chip row (Free, Original, 1:1, 4:3, 3:2, 16:9, 3:4, 9:16) to the Resize tool's Custom tab. Picking a ratio locks width and height so editing one recomputes the other, and prefills the largest box of that ratio that fits the source so it never upscales. Free stays the default, preserving existing behavior. Replaces the previously non-functional lock-aspect button. Frontend only, no backend or schema change; adds strings to all 21 locales.
Target-size compression had only a coarse DPI lever, so it undershot badly (a 350KB target could land at 216KB) and silently missed unreachable targets. Adds JPEG quality as a second lever (forced re-encode so it bites on JPEG scans), folds both into one monotonic quality axis that target-size binary-searches, reports targetMet honestly in the panel across 21 locales, and flips the tool to async for the extra passes. Quality-mode output sizes shift intentionally (slider now drives JPEG quality at full resolution in its top half).
Add a once-per-boot instance_started event (arch, os, deploy_mode,
gpu_present) so the fleet architecture mix is measurable. It reuses the
existing per-instance instance_id and is exempt from the volume sample
rate, since a census that fires once per boot must not be thinned.
Restore useful capture depth now that the sponsored plan removes the
quota pressure behind the earlier hardening:
- PostHog sample rate 0.1 to 1.0 (full analytics when enabled); the
property allowlist still blocks file data.
- Sentry per-instance ceiling 20 to 500/hr, breadcrumb trail restored
(sanitized: urls/paths redacted, data payloads dropped), full stack
paths kept; local vars, request bodies, and PII still dropped. Both
api and web.
Honor ANALYTICS_ENABLED=false as an opt-out alias: it was documented on
the Docker Hub README but never wired in 2.x, so anyone who set it was
still tracked.
All capture stays behind the analytics opt-out gate.
Adds a Brush | Lasso toggle to the object eraser. Lasso lets the user drag a freeform loop that auto-closes and fills into the mask, so they select around a subject instead of painting every pixel. Frontend-only; the mask contract is unchanged. Also un-skips the erase-object e2e suite via a shared mockAiFeaturesInstalled helper (7 tests now run; 2 multi-file tests fixme'd for a pre-existing tool-page remount bug). Closes#492.
Adds a dedicated remove-gif-background AI tool: removes the background from an animated GIF, WebP, or APNG frame by frame and reassembles a transparent (or composited) animation in WebP, APNG, or GIF, with full per-frame effects. Reuses the background-removal bundle. Verified end-to-end with the real rembg model.
Closes#496.
Adds install method and hardest-setup-area as two optional questions to the first-login usage survey, so these fields are collected at onboarding scale instead of only via the low-traffic admin installer card. Both stay null until chosen and are omitted from the payload when unanswered. No API change and no new i18n; reuses the shared feedback schema and existing locale strings.
Regenerate the social/OG card (200+ tools, Private file processing, self-hosted infrastructure) and sync to landing/web/docs; update banner, press kit, package + OpenAPI + Docker Hub descriptions, a leaked docs count, and the English About string.
Removes Sentry tracing entirely (BullMQ idle polling burned 4.8M transactions in 2 days at the baked 0.1 rate), decouples PostHog sampling, and replaces the type-only error scrub with a vetted-field sanitizer plus SafeError/ToolInputError contracts. One classified capture path with per-signature throttles and a per-process ceiling makes storms impossible (NODE-1E was 4,541 events from one 30s loop). Browser errors move to a dedicated web Sentry project with their own source maps. Adds the SNAPOTTER_TELEMETRY runtime kill switch and silences test fleets.
Crash fixes: remote 204/304 SSRF process kill (NODE-20), conversion-preset boot crash loop (NODE-21), Redis version preflight + unhandled subscribe rejection (NODE-1T), Sign PDF on plain-http origins (NODE-1K/1M), wavesurfer/pdf.js teardown rejections (NODE-1P/1N), bundle-import ZlibError to 400 (NODE-1Z), chart-maker input errors declassified (NODE-1H/1J), asset requests skip the session DB lookup (NODE-1D).
Make on-demand AI feature-bundle installs reliable and self-healing, closing
the failure modes behind most "some tool doesn't work" reports.
Multi-bundle installs: tools needing more than one bundle (Passport Photo,
Enhance Faces) install every required bundle from one action and stay
not-installed until all are present. Verified across all 19 AI tools.
Downloads: self-heal the accelerated Hugging Face (Xet) client so an upgraded
venv no longer silently falls back to slow urllib; restart instead of
corrupting a resumed partial when a proxy ignores Range and returns 200;
verify the completed size; fail fast on disk-full and HTTP 4xx; retry
transient errors five times; add hf_transfer fallback and document Xet egress.
Install integrity: crash-atomic venv writes so a killed or out-of-space
install can no longer tear the shared venv and break other tools; a boot
breadcrumb reseeds a torn venv to a clean state automatically; a post-install
smoke import test refuses to record a bundle whose libraries cannot load; an
install watchdog stops a wedged installer that would otherwise hold the venv
writer lock forever.
Adds unit and end-to-end tests for every failure mode above.
The demo signs in as an admin on load (no login/change-password screen; /login and /change-password bounce to the dashboard), authEnabled stays true so the People/Teams/Roles/Security settings tabs remain available, the banner notes the admin data is sample data, and the mobile editor icon is an inline SVG so it always renders.
Uninstalling a bundle only deletes its downloaded model weights, never the
shared venv's site-packages, so self-hosters who already hit an AI bundle
conflict (e.g. the scipy ABI strand) have no clean self-service path via
uninstall+reinstall: reinstalling just overlays corrected files on top of
stale ones. Adds POST /api/v1/admin/features/reset, which wipes
/data/ai/{venv,models,pip-cache}, resets installed.json, and reseeds a real
working venv from the image's baked /opt/venv (extracted docker/reseed-ai-venv.sh,
now shared with entrypoint.sh's existing base-venv-upgrade bootstrap instead
of duplicating that logic) -- leaving an empty venv directory here would
make the very next install fail with "spawn .../python3 ENOENT", caught by
testing this live rather than assuming it. Ships with a matching Settings UI
section (inline confirm, same pattern as per-bundle uninstall) and strings
across all 21 locales.
Verified against a real snapotter/snapotter:1.17.2 image migrated to 2.0.0,
with real multi-GB bundles installed (background-removal + OCR): confirmed
the migrated instance's inherited python3.11 venv (2.0.0 itself uses 3.12)
still imports the fixed scipy/numpy/paddleocr correctly, then reset + real
reinstall + actual tool execution (remove-background, verified output image)
all worked end-to-end.
Save to Files posted only the blob, so userFiles.toolChain stayed null and the library showed "Tools Used: None". Thread the producing toolId through /api/v1/files/upload (validated optional field) and store it as a one-element toolChain, matching the pipeline path.
Claude-Session: https://claude.ai/code/session_01UvVCMNUBrgpghk8gye5gav
* feat(api): parse DATA_DIR from env for 1.x import auto-detection
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* test(migrator): build 1.17.2 fixtures by replaying legacy migrations
Discovered the legacy migrations seed a Default team (0005) and builtin roles
(0007), so the replayed fixture carries them. Seed uses a distinct custom team.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* fix(migrator): self-adjusting column copy, jobs.status map, drop sessions, advisory lock
The importer now inserts only the intersection of source and live target columns,
so the three analytics_* columns 2.x dropped no longer break the first users INSERT
(and future dropped columns are handled generically). jobs.status is mapped onto the
2.x enum (error->failed). Sessions are no longer migrated. A pg_advisory_xact_lock
serializes concurrent replicas. Includes login-after-migrate and library assertions.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* test(migrator): CI drift guard fails when a required column is unfillable from 1.17.2
Introspects every NOT-NULL-no-default column of each migrated table in the current
schema and asserts the engine can fill it from a real 1.17.2 source. Turns a future
breaking schema change into a PR-time failure instead of a production import break.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(migrator): orchestrator with detection, boot states, marker, blob count
sqlite-import.ts owns source resolution (explicit path, 'off' sentinel, DATA_DIR
probe), the four boot states (import/leftover/locked/none), the persisted
sqlite_import marker, and a read-only library-blob count. runBootImport wires them
together and catches TargetNonEmptyError as a benign multi-replica skip.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(api): route boot through the 1.x import orchestrator; hide marker from non-admins
index.ts now calls runBootImport (which owns detection + the four boot states)
instead of the inline SQLITE_MIGRATE_PATH block. The sqlite_import marker is added
to SENSITIVE_KEYS (but not REDACTED_KEYS) so admins see the counts for the banner
while non-admins don't see the key at all.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(migrator): add analyzeSqlite + dry-run/verify CLI
analyzeSqlite is a read-only pre-flight (no live Postgres): per-table row counts,
library-blob presence, and out-of-enum job statuses. The migrate:sqlite CLI now
lives in the orchestrator and supports --dry-run/--verify (prints the analysis and
exits without writing) alongside the existing import and --force.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* docs: add 1.x to 2.0 upgrade guide; fix volume-name casing
New apps/docs upgrade guide covering auto-detect, the SQLITE_MIGRATE_PATH override +
off opt-out, the dry-run, what carries over, locked-state recovery, and non-destructive
rollback. Leads with 'back up the WHOLE /data volume, not just snapotter.db' because
1.x WAL mode leaves data in snapotter.db-wal (surfaced by the real-image upgrade test).
Standardizes README/DOCKERHUB compose volume names on the canonical SnapOtter-data
casing so they match the repo compose and don't orphan an upgrader's volume.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(web): admin 1.x migration banner + 21-locale strings
A one-time admin banner reads the sqlite_import marker from /v1/settings and shows
the import result (user + saved-file counts) on success, or a warning when a 1.x
database was found but not imported. Dismissal persists to a sqlite_import.dismissedAt
settings key. shouldShowMigrationBanner/parseMigrationMarker sit in feedback.ts with
the other shouldShow helpers; strings added to en.ts and all 20 other locales.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* style(landing): biome-format Hero.astro trustBadges array
Pre-existing formatting drift on main (its Lint check was skipped on the merge that
introduced it); this PR's full Lint run surfaced it. Formatting-only, applied via
the repo's own biome formatter to unblock the required Lint check.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
Apply the always-on handoff to the failed-run Report issue button too. Un-gate the two buttons in tool-page.tsx from the analytics toggle, and extend the dialog offline handoff to source=failed_job, prefilling the GitHub issue with the tool id and error category so it is actionable even with an empty message. Follows #428.
Claude-Session: https://claude.ai/code/session_01XVrHKXwzZDWBWgkGQdPZ3A
Keep the top-nav feedback button always visible (icon plus label on desktop, icon-only on mobile) instead of hiding it when an instance opts out of analytics. When analytics is off, the dialog keeps the typed message and hands off to a prefilled GitHub issue plus a contact@snapotter.com email, with no fake Thanks. Adds a feedback.yml issue template, URL builders, and feedback strings across all 21 locales.
Claude-Session: https://claude.ai/code/session_01XVrHKXwzZDWBWgkGQdPZ3A
Adds a prominent Keep it free sponsor button to the top nav, linking to https://github.com/sponsors/snapotter-hq. Solid orange pill on desktop (left of the avatar), orange heart icon on mobile. Opens in a new tab with rel=noopener noreferrer, so no referrer or user data leaks, and it adds no passive network activity (offline-mode compatible). Fires an opt-in, property-less sponsor_clicked analytics event. Adds sidebar.sponsor and a11y.sponsorLink across all 21 locales.
Claude-Session: https://claude.ai/code/session_01DnYLLA5z4Uf1GDeEPENVgr
Server stops phoning Sentry home after opt-out (release-health sessions + client reports off); settings saves diff-send only changed keys so a stale tab cannot revert an instance-wide opt-out; disabling analytics hides the feedback UI immediately; optIn resumes PostHog after re-enable; onboarding survey writes time out at 15s; inline tool-feedback prompt arms a shown-cooldown.
* fix: remove all automatic third-party egress (OSM tiles, Scalar fonts, editor Google Fonts, AI model download fallbacks)
Phone-home audit follow-up. The product no longer makes any automatic
third-party request; user-initiated click-outs stay, and production now
fails closed on missing AI models.
1. GPS leak via OSM tiles: the strip-metadata panel auto-loaded
tile.openstreetmap.org tiles encoding the photo's GPS position. The
Leaflet mini-map is gone; coordinates render as text plus an explicit
View on map link (openstreetmap.org, opens on click only). Removed
tile.openstreetmap.org from the CSP img-src, dropped the leaflet
dependency, added the viewOnMap i18n key to all 21 locales.
2. Scalar docs fonts: /api/docs loaded Inter and JetBrains Mono from
fonts.scalar.com. Scalar now renders with withDefaultFonts: false and
both --scalar-font and --scalar-font-code pinned to system stacks;
fonts.scalar.com removed from the docs CSP font-src. Verified by
injecting GET /api/docs/: config carries withDefaultFonts false and
the served page has no fonts.scalar.com reference.
3. Editor Google Fonts: the editor font picker built
fonts.googleapis.com stylesheet URLs for 25 web fonts the served CSP
already blocked. The remote loading path is deleted; the picker now
offers system fonts only, with a SELF_HOSTED_FONTS seam (FontFace API,
same origin) for bundling fonts later. Unknown families saved in old
documents fall back to the browser default.
4. Python sidecar fails closed on model downloads: new
packages/ai/python/offline_guard.py gates every runtime download
fallback (inpaint, outpaint, restore, noise_removal, detect_faces,
enhance_faces, face_landmarks, red_eye_removal, remove_bg, ocr,
transcribe, upscale) behind SNAPOTTER_ALLOW_MODEL_DOWNLOAD=1 with an
actionable error. Bundled models keep working untouched.
5. OCR and transcription library-internal downloads: unbundled PaddleOCR
language and detection fallbacks now raise the guard error naming the
language instead of resolving models over the network; faster-whisper
gets local_files_only when downloads are off.
6. GFPGAN and CodeFormer cwd-relative weights: facexlib and
codeformer-pip resolve helper weights relative to the process cwd and
fetch them from GitHub when absent. They are now symlinked from the
installed bundle files under MODELS_PATH/gfpgan/facelib before the
libraries load, failing closed when unresolvable.
Defense in depth: HF_HUB_OFFLINE=1 and TRANSFORMERS_OFFLINE=1 are set in
the runtime image and in the sidecar spawn env; install_feature.py lifts
them for user-initiated bundle installs and restores them afterwards
(it can run in-process inside the dispatcher). SNAPOTTER_ALLOW_MODEL_DOWNLOAD
is documented in .env.example, default off.
Validation: typecheck 9/9 workspaces, Biome clean on touched files,
5178 unit tests pass, py_compile on all touched scripts, guard behavior
exercised in both dispatcher exec and per-request import modes, zero
remaining runtime references to the three hosts. Docker build and live
AI inference need post-merge verification on the GPU host.
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
* fix: allow AI model downloads by default, make strict offline mode opt-in
Product call: ease of use first. The download gating from the previous
commit inverts its default: runtime model fetches (public model weights
only, never user data) are allowed out of the box so AI tools self-heal,
and SNAPOTTER_ALLOW_MODEL_DOWNLOAD=0 becomes the explicit strict offline
mode for airgapped deployments, where every fallback raises the
actionable error instead of fetching.
Changes: offline_guard blocks only on an explicit 0/false; the
unconditional HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE image ENV is removed
and bridge.ts sets those flags for the sidecar only in strict mode;
.env.example documents the new default; install_feature's lift/restore
stays. All bundled-path preferences, pre-existence checks, and symlink
pre-placement remain, so installed bundles never trigger a download.
The OSM, Scalar font, and editor font fixes are unchanged.
Validation rerun: typecheck 9/9, Biome clean on touched files, 5178
unit tests pass, py_compile on touched scripts, guard behavior verified
for unset/1 (allowed) and 0/false (blocked with the new message).
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
README:
- Add a one-command Quick Start above Key Features (single docker run) to show how fast setup is; rename the detailed section to Deployment and drop the duplicated one-liner.
- List TinyWow among the alternatives.
- Tighten the sponsor call to action.
Branding:
- Replace the social card's GDPR/HIPAA badges with Self-hosted, Privacy-sensitive, Compliance-friendly, Air-gap capable, Open source, matching the landing Hero.
- Regenerate branding/social-preview.png and the synced landing/web OG images (counts refreshed to the live catalog).
Claude-Session: https://claude.ai/code/session_01JQ8LmV8LPLi8yNTayHzSTQ
Fixes found by manually testing a fresh install end to end:
- auth: the must-change-password gate returned 403 on public routes
including /api/v1/health, so every fresh install showed a false
"Reconnecting to server" banner on the forced password change
screen. Public routes are now exempt (they need no session at all).
Adds the gate's first direct tests.
- multipart: @fastify/multipart's parts() iterator (9.4.0 and 10.0.0)
ends on the request stream's "close", which on a reused keep-alive
connection fires while an earlier part is still streaming to storage,
silently dropping the parts behind it. The object eraser lost its
mask file on every second POST per connection. Replaced with a
busboy-driven iterator (lib/multipart-parts.ts) that ends on busboy's
own "finish", installed for all routes via a preValidation hook;
the tool-factory field-recovery workaround for the same bug is now
unnecessary and removed.
- eraser: the mask canvas backing store is natural resolution, but
"absolute inset-0" does not stretch replaced elements, so the
canvas rendered at intrinsic size and the brush ring, strokes, and
exported mask were all misscaled on photos larger than the viewport.
The canvas now gets an explicit CSS box at the fitted size.
- compare slider: solid white divider with a dark halo so it stays
visible over light images; still initialised at the painted region.
- tool page: the AI bundle install prompt now centers in the content
area instead of hugging the top.
- api docs: disabled Scalar's cloud features (Ask AI, Generate MCP,
Open API Client, dev toolbar), hid the "Powered by Scalar" footer
link, and set the page title to "SnapOtter API Reference". The docs
CSP blocks those cloud calls by design, so the buttons were dead UI.
- docker: embedded Redis comes from packages.redis.io pinned to the
8.x major (was Debian's 7.0.15), matching the Compose stack and the
documented claim. Build fails fast if the major ever drifts.
- docs: DOCKERHUB.md quick start now leads with the one-command docker
run (matching the README) with Compose as the production path;
README says embedded Postgres 17 + Redis 8.
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
Fixes 15 defects found by a max-effort multi-agent review of the last 6
merged PRs (#388, #390, #391, #392, #393, #394), all adversarially
verified before fixing.
Install queue + dispatcher (the serious cluster):
- features.ts: finalize the installer child exactly once. A failed spawn
fires both "error" and "close", and the second event released the file
lock and active slot that pump() had just handed to the next queued
bundle, letting two pip processes write the same venv concurrently.
Outcome recording now happens before pump() so the next bundle's first
progress frame cannot race the previous install's bookkeeping.
- feature-status.ts: keep failed-install errors in a per-bundle map
instead of the single progress slot. With the queue auto-starting the
next install, the slot was overwritten within seconds and a failed
install vanished without ever surfacing to GET /features.
- bridge.ts: scope child lifecycle per process (stopped-children set +
request generation tags) instead of an instance-wide shuttingDown flag
that the next spawn reset. A stale SIGTERMed child's late close event
could record a phantom crash (5 of which permanently disable the
dispatcher), null out the freshly spawned child, and reject the new
child's pending requests. The request-timeout kill path still counts
as a real crash.
- install_feature.py: the pre-write disk re-check measured ai_dir's
filesystem even when budgeting the cross-filesystem copy that lands on
the venv's disk; now each budget is checked against the filesystem the
bytes actually land on, so ENOSPC cannot strike mid-write and leave
site-packages half overwritten.
Behavior regressions:
- embed-subtitles: preserve pre-existing subtitle tracks (0:s?) and MKV
attachments (0:t?) that the -map 0:v:0/0:a? rewrite silently dropped;
data streams stay unmapped on purpose (the actual MPEG remux fix). The
new subtitle maps first so the language tag hits the right stream.
- usage-survey-overlay: fail closed when the settings fetch fails; the
fail-open path rendered the blocking survey against an unhealthy API
and soft-locked admins, the lock-out class #392 fixed.
- features-store: queued bundles poll instead of each holding an SSE
connection (Install All could pin 7 EventSources and exhaust the
browser's 6-per-origin HTTP/1.1 limit, hanging the whole app);
listenToProgress closes any prior stream and stops any poll before
subscribing; installAll skips bundles already installing or queued.
Contracts, tests, i18n:
- openapi.yaml: add "queued" to the features status enum and document
downloadBytes/installedBytes (Schemathesis conformance).
- feature-lifecycle e2e: queue transcription (~0.5 GB) instead of ocr
(~6 GB) and give the test a budget that covers both install drains
(the stacked waits exceeded the old 900s timeout).
- docker-compose.qa.yml: parameterize the host port (QA_APP_PORT) so
QA_PROJECT_NAME concurrent stacks can actually bind.
- compare + watermark-image: restore per-input error attribution
("Invalid first/second image", "Invalid watermark image") lost in the
shared-handler migration.
- ai-features-section: the "{size} on disk" suffix now goes through
i18n; key added to all 21 locales.
- watermark-image + content-aware-resize: migrate to the shared
inputHandlerFor("image") chain like compare/vectorize/compose, fixing
drift in the inline copies (no SVG sanitize, no RAW extension hint,
no AVIF probe).
Verified: typecheck across 9 workspaces, Biome clean on all changed
files, 584 targeted unit tests and 249 integration tests green
(including real-ffmpeg embed-subtitles runs). One unit test updated to
the new poll-while-queued contract with a single-EventSource assertion.
Claude-Session: https://claude.ai/code/session_017mR1HiHaf3a1BmUtrHX4j3
* fix(api): correct format/filename/container handling across tool routes
Found during a comprehensive QA sweep exercising every tool against its
full accepted-format matrix:
- watermark-image, compose: preserve the requested output format and a
matching download filename/extension instead of always emitting the
source format
- compose: crop oversized overlays to the visible base area instead of
crashing Sharp's composite, and reject only overlays fully outside the
base image instead of any oversized one
- compare, vectorize: switch to the shared image input handler so
filenames and formats like .svgz/.tga/RAW survive validation instead
of being rejected pre-processing
- tool-factory, images-to-video: normalize frames through Sharp before
handing them to FFmpeg, fixing GIF/AVIF/RAW image-to-video jobs that
previously failed or hung
- media-tool, replace-audio, embed-subtitles: fix legacy container
MIME/codec handling for MPEG sources and subtitle remux cases
- files: expand download MIME mapping for text/data/document/video/audio
outputs that were falling back to a generic content type
- convert-document/presentation/spreadsheet: same-format conversions now
return the original validated file instead of erroring or producing
corrupt tiny output
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): dropzone a11y, stale localStorage getter, dead code
- dropzone: stop making the whole drop-zone section clickable/focusable.
A section acting as an interactive element around a real upload button
is a nested-interactive-element anti-pattern that confuses screen
readers; drag-and-drop doesn't need focus semantics, only the button
fallback does. Keeps that button semantic and keyboard-reachable.
Updates the two e2e call sites that clicked the section directly.
- api, use-auth: read through window.localStorage via the existing API
storage helper instead of the bare global, which resolves to Node's
experimental localStorage getter under Vitest and threw
- find-duplicates-settings, info-settings, login-page: remove dead code
(unused zip-download handler, a stale mount-only effect dependency
that left cached info stuck at reused indices, an unused response
variable)
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(i18n): pt-BR, zh-CN, zh-TW were silently falling back to English
The locale loader looked up dynamic-import exports by the raw locale
code (mod["pt-BR"], mod["zh-CN"], mod["zh-TW"]), but those three modules
export camelCased bindings (ptBR, zhCN, zhTW) since identifiers can't
contain hyphens. The lookup returned undefined and every consumer
silently fell back to English for these three locales. Replaces the
generic lookup with explicit per-locale loaders so the mapping can't
drift out of sync again.
Also updates the dropzone helper copy across all 21 locales to match
the drag-only dropzone wording from the previous commit.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(docs): clear build warnings in the VitePress site
- config.mts: add an onwarn handler for the @vueuse INVALID_ANNOTATION
warnings emitted during the docs build
- deployment.md: the caddyfile code fence language isn't a shiki grammar
VitePress ships with, so it warned on every build; use txt instead
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* test(qa): update QA harness for the drag-only dropzone and regen metadata
- api-sweep, qa-helpers, verify-ai: add JSON-body tools, multi-input
secondary fixtures, async polling for slow valid jobs, 501
FEATURE_NOT_INSTALLED skip handling, and safer per-tool settings
- input-preview, pipeline-ui specs: update upload flow for the
drag-only dropzone surface
- add tests/fixtures/data/valid/chart.json, a valid chart fixture the
updated helpers route to
- regenerate tools-meta.json against current TOOLS[]
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(security): close a login timing side-channel, harden zip-slip tests
Found during a black-box security sweep of the real auth-enabled
production container: a nonexistent username returned 401 in ~3-10ms,
while a wrong password for a real user took ~35-42ms, because scrypt
verification only ran when a user row existed. That timing gap lets an
attacker enumerate valid usernames without ever guessing a password.
Now runs verification against a cached dummy hash on the unknown-user
path too, so both cases cost the same regardless of outcome.
extract-zip already had a relative-traversal regression test
(../evil.txt), but its absolute-path rejection branches
(name.startsWith("/") / startsWith("\\")) had none. Added the three
missing cases: deep relative traversal, absolute Unix path, and
Windows-style absolute path.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* test(qa): add UI-driven AI bundle install scripts
QA_PROMPT.md's Phase 2 requires installing AI models the way a user
does -- through the UI, on demand from HuggingFace -- and treats the
curl-based admin install endpoint as fallback-only. Nothing in the
harness actually drove that flow; tests/qa/seed-ai-models.sh installs
via docker exec + pip, which is further from a real user than even the
API fallback.
install-ai-bundles-ui.mts logs in, opens Settings > AI Features,
screenshots the pre-install state, clicks Install All, and screenshots
progress -- then exits, since installs continue server-side once
triggered. verify-ai-install-complete.mts polls bundle status,
screenshots the completed state, and runs one real tool per installed
bundle to prove the freshly-downloaded model actually executes.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(qa): correct the apiToolPath import in the AI verify script
Dynamic import of the package name failed under tsx's module resolution
from apps/api's node_modules context; use the same relative-path import
api-sweep.mts already uses successfully.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): correct AI bundle size estimates shown before install
Measured real downloads during GPU-node QA verification: photo-restoration
pulls ~4.4GB (was advertised as 800MB-1GB, off by 4-5x) and ocr pulls
~5.5GB (was advertised as 3-4GB). Both estimates only accounted for model
weights, not the pip dependencies (torch/paddle) that come down with them.
Updated to reflect actual total download size, since that's what a user
deciding whether they have the disk/bandwidth actually needs to know.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): make desktop Settings reachable when auth is disabled
AvatarDropdown (the only desktop entry point to Settings) was gated
behind `!isMobile && authEnabled`. With AUTH_ENABLED=false the synthetic
anonymous admin user should have full Settings access per how auth.ts
documents this mode -- and the mobile bottom nav already worked this way,
showing Settings unconditionally. Desktop just had a stray extra gate the
component doesn't need: AvatarDropdown already resolves its own username
internally (falling back to "admin") and reads authEnabled itself where
it actually matters (hiding the Logout button). Removed the outer gate;
verified end-to-end against a fresh AUTH_ENABLED=false instance -- avatar
now renders, Settings opens, shows the anonymous/Admin identity correctly.
Also documents (not changes) a related finding in install_feature.py:
detect_arch() always resolves amd64 hosts to the GPU-bundled archive
variant regardless of actual GPU presence, since no CPU-only amd64
archive is published to the bundle repo yet. Left as a code comment
rather than a behavior change, since requesting an unpublished archive
key would hard-fail installs entirely -- worse than the current
oversized-but-working download. Full detail in the QA report.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(ai): stop logging expected dispatcher reloads as crashes
After each AI bundle install the Python dispatcher reloads because the
venv changed, and after every app shutdown it's SIGTERMed. Both took the
close handler's `code !== 0` branch (SIGTERM makes the exit code null),
so they were counted as crashes -- producing an alarming "crash" line in
the logs and a pointless ~1s recovery backoff after each of 7 installs.
A `stopping` flag set in shutdown() lets the close handler tell an
intentional stop apart from a real crash. The request-timeout kill path
deliberately does not set it, so a genuinely hung script still records a
crash and the 5-in-60s permanent-disable threshold is untouched.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(api): return a clean message when content-aware resize times out
Carving a very high-resolution image down to a tiny target could exceed
the caire subprocess timeout, and the raw error forwarded to the user was
caire's terminal output -- ANSI color codes and progress-spinner control
characters -- instead of anything actionable. Now: the timeout path
throws a clear "timed out; try a smaller image or larger target" message
(keeping the raw stderr as `cause` for server logs); friendlyError()
strips ANSI/control chars centrally so any subprocess dump surfaced
through the shared sanitizer is plain text; and the content-aware-resize
route (a custom route that bypassed the sanitizer) now routes its error
paths through friendlyError like every other tool.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(ai): stop bundle installs from exhausting host disk
Installing an AI bundle on a tight-disk host could push the root
filesystem to zero bytes free after the preflight check had already
passed. Two root causes:
- move_tree used copytree+rmtree, so during the move the extracted
payload existed in both staging and the venv at once -- a full
transient doubling on disk. Rewrote it to rename entries (a cheap
metadata op on the same filesystem, no copy), falling back to a copy
only across filesystems.
- the preflight budget used the manifest's extractedSize verbatim, which
is 0 for several archives, collapsing the estimate to just the
compressed size. Added a conservative fallback (3x compressed) so a
missing value can't under-reserve.
Also added a real-on-disk re-check immediately before the first
destructive venv write (measuring the actual extracted payload and
whether the move needs extra space for a cross-filesystem copy), which
also now covers the offline-import path that previously skipped the disk
check entirely; wrapped the moves so an out-of-space failure returns a
clean actionable error instead of a traceback; and made the disk check
resolve the nearest existing ancestor so it never throws on a
not-yet-created venv path.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* feat(web): show the real per-arch AI bundle download size
The bundle cards and install prompt showed a hardcoded, architecture-blind
estimatedSize string. That's misleading: amd64 hosts always pull the
CUDA-inclusive archive (there's no CPU-only amd64 variant published), so a
bundle labelled "1-2 GB" can actually download several times that, while
arm64 pulls a much smaller archive for the same label. The manifest
already carries the real per-arch compressedSize (and extractedSize where
measured), so surface those: a new optional downloadBytes/installedBytes
on FeatureBundleState, populated in getFeatureStates() for this host's
arch (resolver mirrors install_feature.py detect_arch), shown by the UI
when present with estimatedSize kept as the fallback label. Also nudged
upscale-enhance's fallback string (4-5 -> 5-6 GB) to match its real
compressed size, consistent with the earlier photo-restoration/ocr fixes.
Fields are optional so demo/mock and existing tests stay compiling; the
manifest's extractedSize is 0 for a few archives, which now surfaces as
null rather than a bogus 0.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): move the AI install queue to the server so it survives tab close
Installing multiple bundles could silently lose all but the first. The
server rejected a concurrent install with 409, so the client worked
around it by queueing the rest in browser-local state and only POSTing
each once it saw the previous finish. A single POSTed install is durable
(the installer child is detached from the request), but a queued one had
zero server footprint -- close the tab mid-queue and those installs
vanished with no error, while the UI still showed them "Queued". The
client "mutex" didn't even serialize: the queued bundles' local waits all
resolved at once and raced into concurrent POSTs that 409'd each other.
Now the queue lives on the server (a small in-memory FIFO leaf module).
The install endpoint enqueues instead of 409-ing and returns
202 {jobId, queued}; a pump starts the next bundle when the current one's
child exits (and after an offline import releases the lock), all behind
the existing venv + file locks, which are unchanged. The client just
POSTs every bundle immediately and reflects the server-reported
queued/installing status; Install All fires all POSTs and lets the server
serialize them, keeping the one-shot retry-on-failure. Adds "queued" to
FeatureStatus (the bundle card already rendered that state) and surfaces
it from getFeatureStates. In-memory is deliberate: it matches the
existing contract (survives a tab close, not a server restart, which
already clears the lock on boot).
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(qa): don't log env-derived credentials in the AI-install script
CodeQL flagged clear-text logging of sensitive information: the login
status line interpolated the QA base URL and username (both read from
the process environment) into a console.log. Replaced with a static
message. QA helper only, but it's a real hygiene issue and cleared the
high-severity code-scanning alert on the PR.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* feat: add usage-survey feedback types and gating function
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* feat: add onboarding usage-survey i18n strings to all locales
Relabels three ambiguous feedback.usageTypes values (personal/team_internal/
business_workflow) and adds a new onboarding namespace (4 keys) across the
reference locale and all 20 translations, so the tree compiles at every
commit instead of only after both locale groups land.
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* feat: add UsageSurveyOverlay component
* feat: mount UsageSurveyOverlay inside AuthGuard
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* fix: use text-start instead of text-left for RTL support in UsageSurveyOverlay
* refactor: drop redundant usage-type field from the admin feedback dialog
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* feat: accept onboarding source and survey id in the feedback route
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* test: cover the onboarding source in the feedback route integration test
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* chore: remove orphaned usageTypeLabel i18n key
* refactor: derive feedback source/survey_id enums from a single source of truth
* perf: skip the settings fetch in UsageSurveyOverlay for non-admin users
Adds a prefilled 'Request a tool' affordance to the home search empty state and beneath weak results. Opens the in-app feedback dialog with a new search_miss source and a structured search_query when analytics is on; links to a prefilled GitHub Discussions (Ideas) post when off, so a request is never silently dropped. Reuses the existing feedback pipe, dialog, and analytics gate; no new storage. i18n across all 21 locales.
Draw, type, or upload a signature and place resizable/rotatable copies across PDF pages; output flattened server-side with PyMuPDF. Visual electronic signature, not cryptographic. New interactive-sign display mode (pdf.js + Konva) and a custom docs-pool route.
* feat(analytics): upload web source maps to Sentry + tie release to build
Web crash reports were unusable: the bundle ships minified with no source
maps uploaded, and every build reported as the frozen APP_VERSION, so a
Sentry error showed an unreadable stack under a single release.
- Add @sentry/vite-plugin: emit hidden source maps and upload them by debug
id when SENTRY_AUTH_TOKEN is present (published Docker build only), then
delete the maps so they never ship. No-op for dev and the source archive.
- Set the Sentry release from SENTRY_RELEASE / VITE_SENTRY_RELEASE (the Docker
build passes the release version), falling back to APP_VERSION.
- Relax beforeSend so app bundle frames keep a host-stripped path (Sentry needs
it to match the uploaded map) while the instance hostname, error message, and
PII stay stripped. Filesystem paths still collapse to the basename.
- Wire the Dockerfile (sentry_auth_token build secret + SENTRY_RELEASE arg/env)
and the release docker job.
* fix(analytics): point source map upload at the snapotter org (project node)
