mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-03-16 02:17:46 +01:00
Early 0.18 work (#22138)
* Update version * Create scaffolding for case management (#21293) * implement case management for export apis (#21295) * refactor vainfo to search for first GPU (#21296) use existing LibvaGpuSelector to pick appropritate libva device * Case management UI (#21299) * Refactor export cards to match existing cards in other UI pages * Show cases separately from exports * Add proper filtering and display of cases * Add ability to edit and select cases for exports * Cleanup typing * Hide if no unassigned * Cleanup hiding logic * fix scrolling * Improve layout * Camera connection quality indicator (#21297) * add camera connection quality metrics and indicator * formatting * move stall calcs to watchdog * clean up * change watchdog to 1s and separately track time for ffmpeg retry_interval * implement status caching to reduce message volume * Export filter UI (#21322) * Get started on export filters * implement basic filter * Implement filtering and adjust api * Improve filter handling * Improve navigation * Cleanup * handle scrolling * Refactor temperature reporting for detectors and implement Hailo temp reading (#21395) * Add Hailo temperature retrieval * Refactor `get_hailo_temps()` to use ctxmanager * Show Hailo temps in system UI * Move hailo_platform import to get_hailo_temps * Refactor temperatures calculations to use within detector block * Adjust webUI to handle new location --------- Co-authored-by: tigattack <10629864+tigattack@users.noreply.github.com> * Camera-specific hwaccel settings for timelapse exports (correct base) (#21386) * added hwaccel_args to camera.record.export config struct * populate camera.record.export.hwaccel_args with a cascade up to camera then global if 'auto' * use new hwaccel args in export * added documentation for camera-specific hwaccel export * fix c/p error * missed an import * fleshed out the docs and comments a bit * ruff lint * separated out the tips in the doc * fix documentation * fix and simplify reference config doc * Add support for GPU and NPU temperatures (#21495) * Add rockchip temps * Add support for GPU and NPU temperatures in the frontend * Add support for Nvidia temperature * Improve separation * Adjust graph scaling * Exports Improvements (#21521) * Add images to case folder view * Add ability to select case in export dialog * Add to mobile review too * Add API to handle deleting recordings (#21520) * Add recording delete API * Re-organize recordings apis * Fix import * Consolidate query types * Add media sync API endpoint (#21526) * add media cleanup functions * add endpoint * remove scheduled sync recordings from cleanup * move to utils dir * tweak import * remove sync_recordings and add config migrator * remove sync_recordings * docs * remove key * clean up docs * docs fix * docs tweak * Media sync API refactor and UI (#21542) * generic job infrastructure * types and dispatcher changes for jobs * save data in memory only for completed jobs * implement media sync job and endpoints * change logs to debug * websocket hook and types * frontend * i18n * docs tweaks * endpoint descriptions * tweak docs * use same logging pattern in sync_recordings as the other sync functions (#21625) * Fix incorrect counting in sync_recordings (#21626) * Update go2rtc to v1.9.13 (#21648) Co-authored-by: Eugeny Tulupov <eugeny.tulupov@spirent.com> * Refactor Time-Lapse Export (#21668) * refactor time lapse creation to be a separate API call with ability to pass arbitrary ffmpeg args * Add CPU fallback * Optimize empty directory cleanup for recordings (#21695) The previous empty directory cleanup did a full recursive directory walk, which can be extremely slow. This new implementation only removes directories which have a chance of being empty due to a recent file deletion. * Implement llama.cpp GenAI Provider (#21690) * Implement llama.cpp GenAI Provider * Add docs * Update links * Fix broken mqtt links * Fix more broken anchors * Remove parents in remove_empty_directories (#21726) The original implementation did a full directory tree walk to find and remove empty directories, so this implementation should remove the parents as well, like the original did. * Implement LLM Chat API with tool calling support (#21731) * Implement initial tools definiton APIs * Add initial chat completion API with tool support * Implement other providers * Cleanup * Offline preview image (#21752) * use latest preview frame for latest image when camera is offline * remove frame extraction logic * tests * frontend * add description to api endpoint * Update to ROCm 7.2.0 (#21753) * Update to ROCm 7.2.0 * ROCm now works properly with JinaV1 * Arcface has compilation error * Add live context tool to LLM (#21754) * Add live context tool * Improve handling of images in request * Improve prompt caching * Add networking options for configuring listening ports (#21779) * feat: add X-Frame-Time when returning snapshot (#21932) Co-authored-by: Florent MORICONI <170678386+fmcloudconsulting@users.noreply.github.com> * Improve jsmpeg player websocket handling (#21943) * improve jsmpeg player websocket handling prevent websocket console messages from appearing when player is destroyed * reformat files after ruff upgrade * Allow API Events to be Detections or Alerts, depending on the Event Label (#21923) * - API created events will be alerts OR detections, depending on the event label, defaulting to alerts - Indefinite API events will extend the recording segment until those events are ended - API event start time is the actual start time, instead of having a pre-buffer of record.event_pre_capture * Instead of checking for indefinite events on a camera before deciding if we should end the segment, only update last_detection_time and last_alert_time if frame_time is greater, which should have the same effect * Add the ability to set a pre_capture number of seconds when creating a manual event via the API. Default behavior unchanged * Remove unnecessary _publish_segment_start() call * Formatting * handle last_alert_time or last_detection_time being None when checking them against the frame_time * comment manual_info["label"].split(": ")[0] for clarity * ffmpeg Preview Segment Optimization for "high" and "very_high" (#21996) * Introduce qmax parameter for ffmpeg preview encoding Added PREVIEW_QMAX_PARAM to control ffmpeg encoding quality. * formatting * Fix spacing in qmax parameters for preview quality * Adapt to new Gemini format * Fix frame time access * Remove exceptions * Cleanup --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> Co-authored-by: tigattack <10629864+tigattack@users.noreply.github.com> Co-authored-by: Andrew Roberts <adroberts@gmail.com> Co-authored-by: Eugeny Tulupov <zhekka3@gmail.com> Co-authored-by: Eugeny Tulupov <eugeny.tulupov@spirent.com> Co-authored-by: John Shaw <1753078+johnshaw@users.noreply.github.com> Co-authored-by: Eric Work <work.eric@gmail.com> Co-authored-by: FL42 <46161216+fl42@users.noreply.github.com> Co-authored-by: Florent MORICONI <170678386+fmcloudconsulting@users.noreply.github.com> Co-authored-by: nulledy <254504350+nulledy@users.noreply.github.com>
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479
frigate/api/record.py
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479
frigate/api/record.py
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"""Recording APIs."""
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import logging
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from datetime import datetime, timedelta
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from functools import reduce
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from pathlib import Path
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from typing import List
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from urllib.parse import unquote
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from fastapi import APIRouter, Depends, Request
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from fastapi import Path as PathParam
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from fastapi.responses import JSONResponse
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from peewee import fn, operator
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from frigate.api.auth import (
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allow_any_authenticated,
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get_allowed_cameras_for_filter,
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require_camera_access,
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require_role,
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)
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from frigate.api.defs.query.recordings_query_parameters import (
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MediaRecordingsAvailabilityQueryParams,
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MediaRecordingsSummaryQueryParams,
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RecordingsDeleteQueryParams,
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)
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from frigate.api.defs.response.generic_response import GenericResponse
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from frigate.api.defs.tags import Tags
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from frigate.const import RECORD_DIR
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from frigate.models import Event, Recordings
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from frigate.util.time import get_dst_transitions
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logger = logging.getLogger(__name__)
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router = APIRouter(tags=[Tags.recordings])
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@router.get("/recordings/storage", dependencies=[Depends(allow_any_authenticated())])
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def get_recordings_storage_usage(request: Request):
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recording_stats = request.app.stats_emitter.get_latest_stats()["service"][
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"storage"
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][RECORD_DIR]
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if not recording_stats:
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return JSONResponse({})
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total_mb = recording_stats["total"]
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camera_usages: dict[str, dict] = (
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request.app.storage_maintainer.calculate_camera_usages()
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)
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for camera_name in camera_usages.keys():
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if camera_usages.get(camera_name, {}).get("usage"):
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camera_usages[camera_name]["usage_percent"] = (
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camera_usages.get(camera_name, {}).get("usage", 0) / total_mb
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) * 100
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return JSONResponse(content=camera_usages)
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@router.get("/recordings/summary", dependencies=[Depends(allow_any_authenticated())])
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def all_recordings_summary(
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request: Request,
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params: MediaRecordingsSummaryQueryParams = Depends(),
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allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
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):
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"""Returns true/false by day indicating if recordings exist"""
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cameras = params.cameras
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if cameras != "all":
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requested = set(unquote(cameras).split(","))
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filtered = requested.intersection(allowed_cameras)
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if not filtered:
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return JSONResponse(content={})
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camera_list = list(filtered)
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else:
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camera_list = allowed_cameras
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time_range_query = (
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Recordings.select(
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fn.MIN(Recordings.start_time).alias("min_time"),
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fn.MAX(Recordings.start_time).alias("max_time"),
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)
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.where(Recordings.camera << camera_list)
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.dicts()
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.get()
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)
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min_time = time_range_query.get("min_time")
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max_time = time_range_query.get("max_time")
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if min_time is None or max_time is None:
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return JSONResponse(content={})
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dst_periods = get_dst_transitions(params.timezone, min_time, max_time)
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days: dict[str, bool] = {}
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for period_start, period_end, period_offset in dst_periods:
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hours_offset = int(period_offset / 60 / 60)
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minutes_offset = int(period_offset / 60 - hours_offset * 60)
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period_hour_modifier = f"{hours_offset} hour"
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period_minute_modifier = f"{minutes_offset} minute"
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period_query = (
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Recordings.select(
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fn.strftime(
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"%Y-%m-%d",
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fn.datetime(
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Recordings.start_time,
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"unixepoch",
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period_hour_modifier,
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period_minute_modifier,
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),
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).alias("day")
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)
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.where(
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(Recordings.camera << camera_list)
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& (Recordings.end_time >= period_start)
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& (Recordings.start_time <= period_end)
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)
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.group_by(
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fn.strftime(
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"%Y-%m-%d",
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fn.datetime(
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Recordings.start_time,
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"unixepoch",
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period_hour_modifier,
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period_minute_modifier,
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),
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)
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)
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.order_by(Recordings.start_time.desc())
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.namedtuples()
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)
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for g in period_query:
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days[g.day] = True
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return JSONResponse(content=dict(sorted(days.items())))
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@router.get(
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"/{camera_name}/recordings/summary", dependencies=[Depends(require_camera_access)]
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)
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async def recordings_summary(camera_name: str, timezone: str = "utc"):
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"""Returns hourly summary for recordings of given camera"""
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time_range_query = (
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Recordings.select(
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fn.MIN(Recordings.start_time).alias("min_time"),
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fn.MAX(Recordings.start_time).alias("max_time"),
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)
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.where(Recordings.camera == camera_name)
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.dicts()
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.get()
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)
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min_time = time_range_query.get("min_time")
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max_time = time_range_query.get("max_time")
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days: dict[str, dict] = {}
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if min_time is None or max_time is None:
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return JSONResponse(content=list(days.values()))
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dst_periods = get_dst_transitions(timezone, min_time, max_time)
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for period_start, period_end, period_offset in dst_periods:
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hours_offset = int(period_offset / 60 / 60)
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minutes_offset = int(period_offset / 60 - hours_offset * 60)
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period_hour_modifier = f"{hours_offset} hour"
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period_minute_modifier = f"{minutes_offset} minute"
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recording_groups = (
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Recordings.select(
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fn.strftime(
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"%Y-%m-%d %H",
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fn.datetime(
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Recordings.start_time,
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"unixepoch",
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period_hour_modifier,
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period_minute_modifier,
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),
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).alias("hour"),
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fn.SUM(Recordings.duration).alias("duration"),
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fn.SUM(Recordings.motion).alias("motion"),
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fn.SUM(Recordings.objects).alias("objects"),
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)
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.where(
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(Recordings.camera == camera_name)
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& (Recordings.end_time >= period_start)
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& (Recordings.start_time <= period_end)
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)
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.group_by((Recordings.start_time + period_offset).cast("int") / 3600)
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.order_by(Recordings.start_time.desc())
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.namedtuples()
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)
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event_groups = (
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Event.select(
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fn.strftime(
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"%Y-%m-%d %H",
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fn.datetime(
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Event.start_time,
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"unixepoch",
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period_hour_modifier,
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period_minute_modifier,
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),
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).alias("hour"),
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fn.COUNT(Event.id).alias("count"),
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)
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.where(Event.camera == camera_name, Event.has_clip)
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.where(
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(Event.start_time >= period_start) & (Event.start_time <= period_end)
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)
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.group_by((Event.start_time + period_offset).cast("int") / 3600)
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.namedtuples()
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)
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event_map = {g.hour: g.count for g in event_groups}
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for recording_group in recording_groups:
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parts = recording_group.hour.split()
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hour = parts[1]
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day = parts[0]
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events_count = event_map.get(recording_group.hour, 0)
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hour_data = {
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"hour": hour,
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"events": events_count,
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"motion": recording_group.motion,
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"objects": recording_group.objects,
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"duration": round(recording_group.duration),
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}
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if day in days:
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# merge counts if already present (edge-case at DST boundary)
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days[day]["events"] += events_count or 0
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days[day]["hours"].append(hour_data)
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else:
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days[day] = {
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"events": events_count or 0,
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"hours": [hour_data],
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"day": day,
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}
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return JSONResponse(content=list(days.values()))
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@router.get("/{camera_name}/recordings", dependencies=[Depends(require_camera_access)])
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async def recordings(
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camera_name: str,
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after: float = (datetime.now() - timedelta(hours=1)).timestamp(),
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before: float = datetime.now().timestamp(),
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):
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"""Return specific camera recordings between the given 'after'/'end' times. If not provided the last hour will be used"""
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recordings = (
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Recordings.select(
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Recordings.id,
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Recordings.start_time,
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Recordings.end_time,
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Recordings.segment_size,
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Recordings.motion,
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Recordings.objects,
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Recordings.duration,
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)
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.where(
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Recordings.camera == camera_name,
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Recordings.end_time >= after,
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Recordings.start_time <= before,
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)
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.order_by(Recordings.start_time)
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.dicts()
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.iterator()
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)
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return JSONResponse(content=list(recordings))
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@router.get(
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"/recordings/unavailable",
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response_model=list[dict],
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dependencies=[Depends(allow_any_authenticated())],
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)
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async def no_recordings(
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request: Request,
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params: MediaRecordingsAvailabilityQueryParams = Depends(),
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allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
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):
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"""Get time ranges with no recordings."""
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cameras = params.cameras
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if cameras != "all":
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requested = set(unquote(cameras).split(","))
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filtered = requested.intersection(allowed_cameras)
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if not filtered:
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return JSONResponse(content=[])
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cameras = ",".join(filtered)
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else:
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cameras = allowed_cameras
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before = params.before or datetime.datetime.now().timestamp()
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after = (
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params.after
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or (datetime.datetime.now() - datetime.timedelta(hours=1)).timestamp()
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)
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scale = params.scale
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clauses = [(Recordings.end_time >= after) & (Recordings.start_time <= before)]
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if cameras != "all":
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camera_list = cameras.split(",")
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clauses.append((Recordings.camera << camera_list))
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else:
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camera_list = allowed_cameras
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# Get recording start times
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data: list[Recordings] = (
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Recordings.select(Recordings.start_time, Recordings.end_time)
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.where(reduce(operator.and_, clauses))
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.order_by(Recordings.start_time.asc())
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.dicts()
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.iterator()
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)
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# Convert recordings to list of (start, end) tuples
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recordings = [(r["start_time"], r["end_time"]) for r in data]
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# Iterate through time segments and check if each has any recording
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no_recording_segments = []
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current = after
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current_gap_start = None
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while current < before:
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segment_end = min(current + scale, before)
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# Check if this segment overlaps with any recording
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has_recording = any(
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rec_start < segment_end and rec_end > current
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for rec_start, rec_end in recordings
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)
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if not has_recording:
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# This segment has no recordings
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if current_gap_start is None:
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current_gap_start = current # Start a new gap
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else:
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# This segment has recordings
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if current_gap_start is not None:
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# End the current gap and append it
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no_recording_segments.append(
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{"start_time": int(current_gap_start), "end_time": int(current)}
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)
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current_gap_start = None
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current = segment_end
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# Append the last gap if it exists
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if current_gap_start is not None:
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no_recording_segments.append(
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{"start_time": int(current_gap_start), "end_time": int(before)}
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)
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return JSONResponse(content=no_recording_segments)
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@router.delete(
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"/recordings/start/{start}/end/{end}",
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response_model=GenericResponse,
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dependencies=[Depends(require_role(["admin"]))],
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summary="Delete recordings",
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description="""Deletes recordings within the specified time range.
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Recordings can be filtered by cameras and kept based on motion, objects, or audio attributes.
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""",
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)
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async def delete_recordings(
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start: float = PathParam(..., description="Start timestamp (unix)"),
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end: float = PathParam(..., description="End timestamp (unix)"),
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params: RecordingsDeleteQueryParams = Depends(),
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allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
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):
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"""Delete recordings in the specified time range."""
|
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if start >= end:
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return JSONResponse(
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content={
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"success": False,
|
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"message": "Start time must be less than end time.",
|
||||
},
|
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status_code=400,
|
||||
)
|
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|
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cameras = params.cameras
|
||||
|
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if cameras != "all":
|
||||
requested = set(cameras.split(","))
|
||||
filtered = requested.intersection(allowed_cameras)
|
||||
|
||||
if not filtered:
|
||||
return JSONResponse(
|
||||
content={
|
||||
"success": False,
|
||||
"message": "No valid cameras found in the request.",
|
||||
},
|
||||
status_code=400,
|
||||
)
|
||||
|
||||
camera_list = list(filtered)
|
||||
else:
|
||||
camera_list = allowed_cameras
|
||||
|
||||
# Parse keep parameter
|
||||
keep_set = set()
|
||||
|
||||
if params.keep:
|
||||
keep_set = set(params.keep.split(","))
|
||||
|
||||
# Build query to find overlapping recordings
|
||||
clauses = [
|
||||
(
|
||||
Recordings.start_time.between(start, end)
|
||||
| Recordings.end_time.between(start, end)
|
||||
| ((start > Recordings.start_time) & (end < Recordings.end_time))
|
||||
),
|
||||
(Recordings.camera << camera_list),
|
||||
]
|
||||
|
||||
keep_clauses = []
|
||||
|
||||
if "motion" in keep_set:
|
||||
keep_clauses.append(Recordings.motion.is_null(False) & (Recordings.motion > 0))
|
||||
|
||||
if "object" in keep_set:
|
||||
keep_clauses.append(
|
||||
Recordings.objects.is_null(False) & (Recordings.objects > 0)
|
||||
)
|
||||
|
||||
if "audio" in keep_set:
|
||||
keep_clauses.append(Recordings.dBFS.is_null(False))
|
||||
|
||||
if keep_clauses:
|
||||
keep_condition = reduce(operator.or_, keep_clauses)
|
||||
clauses.append(~keep_condition)
|
||||
|
||||
recordings_to_delete = (
|
||||
Recordings.select(Recordings.id, Recordings.path)
|
||||
.where(reduce(operator.and_, clauses))
|
||||
.dicts()
|
||||
.iterator()
|
||||
)
|
||||
|
||||
recording_ids = []
|
||||
deleted_count = 0
|
||||
error_count = 0
|
||||
|
||||
for recording in recordings_to_delete:
|
||||
recording_ids.append(recording["id"])
|
||||
|
||||
try:
|
||||
Path(recording["path"]).unlink(missing_ok=True)
|
||||
deleted_count += 1
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to delete recording file {recording['path']}: {e}")
|
||||
error_count += 1
|
||||
|
||||
if recording_ids:
|
||||
max_deletes = 100000
|
||||
recording_ids_list = list(recording_ids)
|
||||
|
||||
for i in range(0, len(recording_ids_list), max_deletes):
|
||||
Recordings.delete().where(
|
||||
Recordings.id << recording_ids_list[i : i + max_deletes]
|
||||
).execute()
|
||||
|
||||
message = f"Successfully deleted {deleted_count} recording(s)."
|
||||
|
||||
if error_count > 0:
|
||||
message += f" {error_count} file deletion error(s) occurred."
|
||||
|
||||
return JSONResponse(
|
||||
content={"success": True, "message": message},
|
||||
status_code=200,
|
||||
)
|
||||
Reference in New Issue
Block a user