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https://github.com/blakeblackshear/frigate.git
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7413ce08d4
* add embedded mode to BaseSection so parents can host the save action * add optional action slot to current Frigate+ model summary * add w-full to action slot flex wrapper for explicit width contract * i18n * merged detectors and model settings view * fix document title * Embed detector form in merged settings view * add detection model card with tabs and custom model embed * add Frigate+ model selector with filter popover to merged page * Add mismatch banner and gate save on detector and model compatibility * Wire atomic save, restart toast, and undo on detectors and model page * Clear child pending data on undo * route merged detectors and model view in settings * trim Frigate+ page to account-only and remove old detection model view * basic e2e * Fix unsaved-changes guard, custom path leak, and post-failure cache resync * Rename to Detectors and model, float Modified badge, use ConfigMessageBanner for mismatch * Hide Plus/Custom tabs when Frigate+ is not enabled * Detect active Plus model via model.plus.id instead of path prefix * Sync state back to snapshot when child form un-modifies and remount on undo * Always require restart on save since model changes also need one * Wrap Frigate+ model selector in SplitCardRow with label and description * rename tab * update docs * sync top-level model with default detector's resolved model when the user doesn't define a top-level `model:` block, `FrigateConfig.model` stayed at pydantic field defaults (320×320, /labelmap.txt) while the per-detector model picked up `DEFAULT_MODEL` for openvino on cpu (300×300, coco_91cl_bkgr.txt introduced in #23127), causing `RemoteObjectDetector` to fail with "buffer is too small for requested array" because the SHM was sized from the per-detector model but mapped using the top-level one. After the detector loop, copy the first detector's resolved model up to `self.model` so both sides agree on dimensions and labelmap * revert to cpu detector by default use openvino cpu for new configs only * add defaults
121 lines
4.3 KiB
Python
121 lines
4.3 KiB
Python
"""Map config section keys to Settings UI navigation paths."""
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# Derived from web/src/pages/Settings.tsx section mappings
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# and web/public/locales/en/views/settings.json menu labels.
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#
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# Format: section_key -> (group_label, page_label)
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# Navigation path: "Settings > {group_label} > {page_label}"
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GLOBAL_NAV: dict[str, tuple[str, str]] = {
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"detect": ("Global configuration", "Object detection"),
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"ffmpeg": ("Global configuration", "FFmpeg"),
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"record": ("Global configuration", "Recording"),
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"snapshots": ("Global configuration", "Snapshots"),
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"motion": ("Global configuration", "Motion detection"),
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"objects": ("Global configuration", "Objects"),
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"review": ("Global configuration", "Review"),
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"audio": ("Global configuration", "Audio events"),
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"live": ("Global configuration", "Live playback"),
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"timestamp_style": ("Global configuration", "Timestamp style"),
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"notifications": ("Notifications", "Notifications"),
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}
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CAMERA_NAV: dict[str, tuple[str, str]] = {
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"detect": ("Camera configuration", "Object detection"),
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"ffmpeg": ("Camera configuration", "FFmpeg"),
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"record": ("Camera configuration", "Recording"),
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"snapshots": ("Camera configuration", "Snapshots"),
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"motion": ("Camera configuration", "Motion detection"),
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"objects": ("Camera configuration", "Objects"),
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"review": ("Camera configuration", "Review"),
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"audio": ("Camera configuration", "Audio events"),
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"audio_transcription": ("Camera configuration", "Audio transcription"),
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"notifications": ("Camera configuration", "Notifications"),
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"live": ("Camera configuration", "Live playback"),
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"birdseye": ("Camera configuration", "Birdseye"),
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"face_recognition": ("Camera configuration", "Face recognition"),
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"lpr": ("Camera configuration", "License plate recognition"),
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"mqtt": ("Camera configuration", "MQTT"),
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"onvif": ("Camera configuration", "ONVIF"),
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"ui": ("Camera configuration", "Camera UI"),
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"timestamp_style": ("Camera configuration", "Timestamp style"),
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}
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ENRICHMENT_NAV: dict[str, tuple[str, str]] = {
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"semantic_search": ("Enrichments", "Semantic search"),
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"genai": ("Enrichments", "Generative AI"),
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"face_recognition": ("Enrichments", "Face recognition"),
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"lpr": ("Enrichments", "License plate recognition"),
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"classification": ("Enrichments", "Object classification"),
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"audio_transcription": ("Enrichments", "Audio transcription"),
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}
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SYSTEM_NAV: dict[str, tuple[str, str]] = {
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"go2rtc_streams": ("System", "go2rtc streams"),
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"database": ("System", "Database"),
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"mqtt": ("System", "MQTT"),
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"tls": ("System", "TLS"),
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"auth": ("System", "Authentication"),
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"networking": ("System", "Networking"),
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"proxy": ("System", "Proxy"),
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"ui": ("System", "UI"),
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"logger": ("System", "Logging"),
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"environment_vars": ("System", "Environment variables"),
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"telemetry": ("System", "Telemetry"),
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"birdseye": ("System", "Birdseye"),
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"detectors": ("System", "Detectors and model"),
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"model": ("System", "Detectors and model"),
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}
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# All known top-level config section keys
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ALL_CONFIG_SECTIONS = (
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set(GLOBAL_NAV)
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| set(CAMERA_NAV)
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| set(ENRICHMENT_NAV)
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| set(SYSTEM_NAV)
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| {"cameras"}
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)
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def get_nav_path(section_key: str, level: str = "global") -> str | None:
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"""Get the full navigation path for a config section.
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Args:
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section_key: Config section key (e.g., "record")
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level: "global", "camera", "enrichment", or "system"
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Returns:
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NavPath string like "Settings > Global configuration > Recording",
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or None if not found.
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"""
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nav_tables = {
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"global": GLOBAL_NAV,
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"camera": CAMERA_NAV,
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"enrichment": ENRICHMENT_NAV,
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"system": SYSTEM_NAV,
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}
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table = nav_tables.get(level)
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if table is None:
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return None
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entry = table.get(section_key)
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if entry is None:
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return None
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group, page = entry
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return f"Settings > {group} > {page}"
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def detect_level(section_key: str) -> str:
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"""Detect whether a config section is global, camera, enrichment, or system."""
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if section_key in SYSTEM_NAV:
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return "system"
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if section_key in ENRICHMENT_NAV:
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return "enrichment"
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if section_key in GLOBAL_NAV:
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return "global"
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if section_key in CAMERA_NAV:
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return "camera"
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return "global"
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