lodash unset does not support wildcard (*) segments, so hidden fields like
filters.*.mask were never stripped from form data, leaving null raw_coordinates
that fail RJSF anyOf validation. Add unsetWithWildcard helper and also strip
hidden fields from the JSON schema itself as defense-in-depth.
Tests that Pydantic rejects: invalid field values (fps: "not_a_number"),
unknown section keys (ffmpeg in profile), invalid nested values, and
invalid profiles in full config parsing.
- Subscribe to frigate/profile/set MQTT topic
- Publish profile/state and profiles/available on connect
- Add _on_profile_command handler to dispatcher
- Broadcast active profile state on WebSocket connect
Handles snapshotting base configs, applying profile overrides via
deep_merge + apply_section_update, publishing ZMQ updates, and
persisting active profile to /config/.active_profile.
* enrichment updater and enum
* update_config stubs
* config updaters in enrichments
* update maintainer
* formatting
* simplify enrichment config updates to use single subscriber with topic-based routing
* add optional field widget
adds a switch to enable nullable fields like skip_motion_threshold
* config field updates
add skip_motion_threshold optional switch
add fps back to detect restart required
* don't use ternary operator when displaying motion previews
the main previews were being unnecessarily unmounted
* lazy mount motion preview clips to reduce DOM overhead
* Support GenAI for embeddings
* Add embed API support
* Add support for embedding via genai
* Basic docs
* undo
* Fix sending images
* Don't require download check
* Set model
* Handle emb correctly
* Clarification
* Cleanup
* Cleanup
* keep nav buttons visible
nav buttons would be hidden when closing and reopening dialog after selecting the tracking details pane
* better ux in tracking details
actually pause the video and seek when annotation offset changes to make it easier to visually line up the bounding box
* improve detail stream ux
* update dummy camera docs
* fix docs link
apply length and format filters to the clustered representative plate rather than individual OCR readings, so noisy variants still contribute to clustering even when they don't pass on their own
* face recognition dynamic config
* lpr dynamic config
* safe changes for birdseye dynamic config
* bird classification dynamic config
* always assign new config to stats emitter to make telemetry fields dynamic
* add wildcard support for camera config updates in config_set
* update restart required fields for global sections
* add test
* fix rebase issue
* collapsible settings sidebar
use the preexisting control available with shadcn's sidebar (cmd/ctrl-B) to give users more space to set masks/zones on smaller screens
* dynamic ffmpeg
* ensure previews dir exists
when ffmpeg processes restart, there's a brief window where the preview frame generation pipeline is torn down and restarted. before these changes, ffmpeg only restarted on crash/stall recovery or full Frigate restart. Now that ffmpeg restarts happen on-demand via config changes, there's a higher chance a frontend request hits the preview_mp4 or preview_gif endpoints during that brief restart window when the directory might not exist yet. The existing os.listdir() call would throw FileNotFoundError without a directory existence check. this fix just checks if the directory exists and returns 404 if not, exactly how preview_thumbnail already handles the same scenario a few lines below
* global ffmpeg section
* clean up
* tweak
* fix test
* fix useImageLoaded hook running on every render
* fix volume not applying for all cameras
* Fix maximum update depth exceeded errors on Review page
- use-overlay-state: use refs for location to keep setter identity
stable across renders, preventing cascading re-render loops when
effects depend on the setter. Add Object.is bail-out guard to skip
redundant navigate calls. Move setPersistedValue after bail-out to
avoid unnecessary IndexedDB writes.
* don't try to fetch previews when motion search dialog is open
* revert unneeded changes
re-rendering was caused by the overlay state hook, not this one
* filter dicts to only use id field in sync recordings
* fix ollama chat tool calling
handle dict arguments, streaming fallback, and message format
* pin setuptools<81 to ensure pkg_resources remains available
When ensure_torch_dependencies() installs torch/torchvision via pip, it can upgrade setuptools to >=81.0.0, which removed the pkg_resources module. rknn-toolkit2 depends on pkg_resources internally, so subsequent RKNN conversion fails with No module named 'pkg_resources'.
