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Author SHA1 Message Date
lucaszhu-hueandGitHub d534e92347 Merge a2b92caab0 into d982b3a782 2026-06-21 05:03:00 -10:00
d982b3a782 perf(util): use monotonic clock and bounded deque in EventsPerSecond (#23520)
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* perf(util): use monotonic clock and bounded deque in EventsPerSecond

EventsPerSecond is updated on every captured frame, every detection and
every processed frame across all cameras and detectors. The previous
implementation derived timestamps from datetime.now().timestamp() (wall
clock), so an NTP or manual clock adjustment could skew the rolling-window
expiry; it also stored timestamps in a list and expired them with
del self._timestamps[0] (O(n) per removal) plus a periodic slice-copy to
cap growth.

Switch to time.monotonic() for the interval math (correct by construction
and immune to wall-clock jumps) and a collections.deque(maxlen=...) so
expiry is O(1) (popleft) and retention is bounded automatically. This
mirrors the deque-based expiry already used in video/ffmpeg.py and
watchdog.py. Observable output is unchanged.

Adds frigate/test/test_builtin.py covering rate calculation, window
expiry and the memory bound.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: drop test_timestamps_are_memory_bounded

It only asserted that deque(maxlen=) caps length, which is stdlib behavior
rather than something this change needs to verify.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-21 07:38:41 -06:00
Josh HawkinsandGitHub d036061e3f cache the preview_frames directory listing so concurrent per-camera frame requests share one scan instead of each re-listing the whole directory (#23526)
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2026-06-20 14:56:05 -05:00
Josh HawkinsandGitHub 5003ab895c add camera search, select-all/clear, and group selection to the multi-camera export dialog (#23516)
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2026-06-19 15:50:19 -06:00
Josh HawkinsandGitHub 652ea2454f Miscellaneous fixes (#23513)
* display zone names consistently using friendly_name or raw id without transformation

* enforce camera-level access on go2rtc live stream websocket endpoints
2026-06-19 10:10:22 -06:00
Lucas ZhuandClaude Opus 4.8 a2b92caab0 feat(genai): add Atlas Cloud as an OpenAI-compatible GenAI provider
Add an `atlas` GenAI provider backed by Atlas Cloud, an OpenAI-compatible
inference platform serving vision-capable models. The provider subclasses
the existing OpenAIClient and only defaults the base_url to the Atlas
endpoint, reusing all vision, streaming, reasoning, and tool-calling logic.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-18 00:59:49 +08:00
20 changed files with 740 additions and 68 deletions
+6 -6
View File
@@ -23,7 +23,7 @@ jobs:
name: AMD64 Build
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up QEMU and Buildx
@@ -47,7 +47,7 @@ jobs:
name: ARM Build
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up QEMU and Buildx
@@ -82,7 +82,7 @@ jobs:
name: Jetson Jetpack 6
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up QEMU and Buildx
@@ -113,7 +113,7 @@ jobs:
- amd64_build
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up QEMU and Buildx
@@ -154,7 +154,7 @@ jobs:
- arm64_build
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up QEMU and Buildx
@@ -179,7 +179,7 @@ jobs:
- arm64_build
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up QEMU and Buildx
+5 -5
View File
@@ -16,7 +16,7 @@ jobs:
name: Web - Lint
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/checkout@v6
with:
persist-credentials: false
- uses: actions/setup-node@v6
@@ -35,7 +35,7 @@ jobs:
name: Web - Test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/checkout@v6
with:
persist-credentials: false
- uses: actions/setup-node@v6
@@ -54,7 +54,7 @@ jobs:
name: Web - E2E Tests
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/checkout@v6
with:
persist-credentials: false
- uses: actions/setup-node@v6
@@ -86,7 +86,7 @@ jobs:
name: Python Checks
steps:
- name: Check out the repository
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up Python ${{ env.DEFAULT_PYTHON }}
@@ -109,7 +109,7 @@ jobs:
name: Python Tests
steps:
- name: Check out code
uses: actions/checkout@v7
uses: actions/checkout@v6
with:
persist-credentials: false
- uses: actions/setup-node@v6
+1 -1
View File
@@ -10,7 +10,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/checkout@v6
with:
persist-credentials: false
- id: lowercaseRepo
+38
View File
@@ -12,6 +12,44 @@
\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md)
---
<p align="center">
<a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=frigate">
<img src="docs/static/img/branding/atlas-cloud-logo.png" alt="Atlas Cloud" width="200">
</a>
</p>
<p align="center">
<b><a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=frigate">Atlas Cloud</a></b> is an OpenAI-compatible inference platform that can power Frigate's
<a href="https://docs.frigate.video/configuration/genai/">Generative AI</a> features as a drop-in multimodal LLM backend.
Point the <code>atlas</code> provider at Atlas Cloud and use a vision-capable model
(such as <code>qwen/qwen3-vl-235b-a22b-thinking</code> or <code>Qwen/Qwen3-VL-235B-A22B-Instruct</code>)
to generate natural-language object and review descriptions from detection frames —
no local GPU required. See the <a href="https://docs.frigate.video/configuration/genai/">GenAI configuration docs</a>
to get started, or grab a <a href="https://www.atlascloud.ai/console/coding-plan">coding plan</a>.
</p>
<details>
<summary>Vision-capable Atlas Cloud models for GenAI descriptions</summary>
Frigate's GenAI features require a **vision-capable** model. Good multimodal choices on Atlas Cloud include:
- `qwen/qwen3-vl-235b-a22b-thinking`
- `Qwen/Qwen3-VL-235B-A22B-Instruct`
- `qwen/qwen3-vl-30b-a3b-instruct`
- `qwen/qwen3-vl-30b-a3b-thinking`
- `qwen/qwen3-vl-8b-instruct`
- `google/gemini-3.5-flash`
- `google/gemini-3.1-pro-preview`
The full, always-current model catalog is available at the
[Atlas Cloud console](https://www.atlascloud.ai/console).
</details>
---
A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported [object detectors](https://docs.frigate.video/configuration/object_detectors/).
+37
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@@ -12,6 +12,43 @@
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
---
<p align="center">
<a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=frigate">
<img src="docs/static/img/branding/atlas-cloud-logo.png" alt="Atlas Cloud" width="200">
</a>
</p>
<p align="center">
<b><a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=frigate">Atlas Cloud</a></b> 是一个兼容 OpenAI 接口的推理平台,可作为即插即用的多模态 LLM 后端,
为 Frigate 的<a href="https://docs.frigate.video/configuration/genai/">生成式 AIGenerative AI</a>功能提供算力支持。
只需将 <code>atlas</code> provider 指向 Atlas Cloud,并选用一个支持视觉的模型
(例如 <code>qwen/qwen3-vl-235b-a22b-thinking</code> 或 <code>Qwen/Qwen3-VL-235B-A22B-Instruct</code>),
即可基于检测帧画面生成自然语言的物体描述与审查摘要,无需本地 GPU。
请参阅 <a href="https://docs.frigate.video/configuration/genai/">GenAI 配置文档</a>开始使用,
或了解 <a href="https://www.atlascloud.ai/console/coding-plan">coding plan</a>。
</p>
<details>
<summary>适合做 GenAI 描述的 Atlas Cloud 多模态模型</summary>
Frigate 的 GenAI 功能要求使用**支持视觉**的模型。Atlas Cloud 上推荐的多模态模型包括:
- `qwen/qwen3-vl-235b-a22b-thinking`
- `Qwen/Qwen3-VL-235B-A22B-Instruct`
- `qwen/qwen3-vl-30b-a3b-instruct`
- `qwen/qwen3-vl-30b-a3b-thinking`
- `qwen/qwen3-vl-8b-instruct`
- `google/gemini-3.5-flash`
- `google/gemini-3.1-pro-preview`
完整且实时更新的模型列表请见 [Atlas Cloud 控制台](https://www.atlascloud.ai/console)。
</details>
---
一个完整的本地网络视频录像机(NVR),专为[Home Assistant](https://www.home-assistant.io)设计,具备 AI 目标/物体检测功能。使用 OpenCV 和 TensorFlow 在本地为 IP 摄像头执行实时物体检测。
强烈推荐使用 GPU 或者 AI 加速器(例如[Google Coral 加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)等)。它们的运行效率远远高于现在的顶级 CPU,并且功耗也极低。
+41
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@@ -386,3 +386,44 @@ genai:
</TabItem>
</ConfigTabs>
### Atlas Cloud
[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=frigate) is an OpenAI-compatible inference platform that serves a range of vision-capable models, so it can act as a drop-in multimodal backend for Frigate's Generative AI features. The `atlas` provider defaults its base URL to the Atlas Cloud endpoint, so a minimal config only needs your API key and a model.
#### Supported Models
You must use a vision capable model with Frigate. Recommended multimodal models on Atlas Cloud include `qwen/qwen3-vl-235b-a22b-thinking`, `Qwen/Qwen3-VL-235B-A22B-Instruct`, `qwen/qwen3-vl-30b-a3b-instruct`, and `google/gemini-3.5-flash`. The full, always-current catalog is available in the [Atlas Cloud console](https://www.atlascloud.ai/console).
#### Get API Key
To start using Atlas Cloud, create an API key from the [Atlas Cloud console](https://www.atlascloud.ai/console/api-keys).
#### Configuration
<ConfigTabs>
<TabItem value="ui">
1. Navigate to <NavPath path="Settings > Enrichments > Generative AI" />.
- Set **Provider** to `atlas`
- Set **API key** to your Atlas Cloud API key (or use an environment variable such as `{FRIGATE_ATLAS_API_KEY}`)
- Set **Model** to a vision-capable model (e.g., `qwen/qwen3-vl-235b-a22b-thinking`)
</TabItem>
<TabItem value="yaml">
```yaml
genai:
provider: atlas
api_key: "{FRIGATE_ATLAS_API_KEY}"
model: qwen/qwen3-vl-235b-a22b-thinking
```
</TabItem>
</ConfigTabs>
:::note
The `atlas` provider points to `https://api.atlascloud.ai/v1` by default. To target a different OpenAI-compatible endpoint, set `base_url` explicitly.
:::
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+74 -1
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@@ -12,6 +12,7 @@ import time
from datetime import datetime
from pathlib import Path
from typing import List, Optional
from urllib.parse import parse_qs, urlparse
from fastapi import APIRouter, Depends, HTTPException, Request, Response
from fastapi.responses import JSONResponse, RedirectResponse
@@ -26,7 +27,11 @@ from frigate.api.defs.request.app_body import (
AppPutRoleBody,
)
from frigate.api.defs.tags import Tags
from frigate.api.media_auth import check_camera_access, deny_response_for_media_uri
from frigate.api.media_auth import (
check_camera_access,
deny_response_for_media_uri,
is_role_restricted,
)
from frigate.config import AuthConfig, NetworkingConfig, ProxyConfig
from frigate.const import CONFIG_DIR, JWT_SECRET_ENV_VAR, PASSWORD_HASH_ALGORITHM
from frigate.models import User
@@ -658,6 +663,10 @@ def auth(request: Request):
if deny_status is not None:
return Response("", status_code=deny_status)
deny_status = deny_response_for_go2rtc_stream(original_url, role, request)
if deny_status is not None:
return Response("", status_code=deny_status)
return success_response
# now apply authentication
@@ -757,6 +766,10 @@ def auth(request: Request):
if deny_status is not None:
return Response("", status_code=deny_status)
deny_status = deny_response_for_go2rtc_stream(original_url, role, request)
if deny_status is not None:
return Response("", status_code=deny_status)
return success_response
except Exception as e:
logger.error(f"Error parsing jwt: {e}")
@@ -1112,6 +1125,66 @@ def _get_stream_owner_cameras(request: Request, stream_name: str) -> set[str]:
return owner_cameras
# nginx proxies these paths straight to go2rtc with authentication-only checks
# (see auth_request.conf). Each names the desired stream via the `src` query
# param, so the camera-level check must happen here in the `/auth` subrequest —
# `require_go2rtc_stream_access` only guards the REST `/go2rtc/streams/{name}`
# endpoint, not these proxied live-stream paths.
GO2RTC_STREAM_PROXY_PATHS = frozenset(
{
"/live/mse/api/ws",
"/live/webrtc/api/ws",
"/api/go2rtc/webrtc",
}
)
def deny_response_for_go2rtc_stream(
original_url: Optional[str], role: Optional[str], request: Request
) -> Optional[int]:
"""Block role-restricted users from go2rtc live streams they cannot access.
Returns 403 when any `src` stream named in `original_url` resolves to a
camera outside the role's allow-list (or when no `src` is provided on a
stream-proxy path), otherwise None. Mirrors the resolution logic in
`require_go2rtc_stream_access` so substream names map to their owning
camera correctly.
"""
if not original_url:
return None
parsed = urlparse(original_url)
if parsed.path not in GO2RTC_STREAM_PROXY_PATHS:
return None
frigate_config = request.app.frigate_config
# admin and full-access roles (no allow-list) bypass the camera check
if not role or not is_role_restricted(role, frigate_config):
return None
sources = parse_qs(parsed.query).get("src", [])
if not sources:
# a stream-proxy request naming no stream has nothing legitimate to
# show a restricted user
return 403
allowed_cameras = set(
User.get_allowed_cameras(
role,
frigate_config.auth.roles,
set(frigate_config.cameras.keys()),
)
)
# deny if any requested source resolves outside the allow-list
for src in sources:
if not (_get_stream_owner_cameras(request, src) & allowed_cameras):
return 403
return None
async def require_go2rtc_stream_access(
stream_name: Optional[str] = None,
request: Request = None,
+36 -16
View File
@@ -1,7 +1,9 @@
"""Preview apis."""
import bisect
import logging
import os
import threading
from datetime import datetime, timedelta, timezone
import pytz
@@ -133,6 +135,32 @@ def preview_hour(
return preview_ts(camera_name, start_ts, end_ts, allowed_cameras)
# cache one sorted listing of the shared preview_frames dir
_preview_listing_lock = threading.Lock()
_preview_listing_cache: tuple[float, list[str]] = (-1.0, [])
def _get_preview_frame_listing(preview_dir: str) -> list[str]:
"""Return the sorted preview_frames listing, cached until the dir changes."""
global _preview_listing_cache
# mtime bumps when a frame is added or removed, invalidating the cache
mtime = os.stat(preview_dir).st_mtime
cached_mtime, files = _preview_listing_cache
if mtime == cached_mtime:
return files
with _preview_listing_lock:
# another thread may have refreshed the cache while we waited
cached_mtime, files = _preview_listing_cache
if mtime == cached_mtime:
return files
files = sorted(entry.name for entry in os.scandir(preview_dir))
_preview_listing_cache = (mtime, files)
return files
@router.get(
"/preview/{camera_name}/start/{start_ts}/end/{end_ts}/frames",
response_model=PreviewFramesResponse,
@@ -149,23 +177,15 @@ def get_preview_frames_from_cache(camera_name: str, start_ts: float, end_ts: flo
start_file = f"{file_start}{start_ts}.{PREVIEW_FRAME_TYPE}"
end_file = f"{file_start}{end_ts}.{PREVIEW_FRAME_TYPE}"
camera_files = [
entry.name
for entry in os.scandir(preview_dir)
if entry.name.startswith(file_start)
files = _get_preview_frame_listing(preview_dir)
# a camera's frames form a contiguous slice of the sorted listing;
# bisect locates it without scanning the whole directory
left = bisect.bisect_left(files, start_file)
right = bisect.bisect_right(files, end_file)
selected_previews = [
file for file in files[left:right] if file.startswith(file_start)
]
camera_files.sort()
selected_previews = []
for file in camera_files:
if file < start_file:
continue
if file > end_file:
break
selected_previews.append(file)
return JSONResponse(
content=selected_previews,
+1
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@@ -12,6 +12,7 @@ __all__ = ["GenAIConfig", "GenAIProviderEnum", "GenAIRoleEnum"]
class GenAIProviderEnum(str, Enum):
openai = "openai"
azure_openai = "azure_openai"
atlas = "atlas"
gemini = "gemini"
ollama = "ollama"
llamacpp = "llamacpp"
+71
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@@ -0,0 +1,71 @@
"""Atlas Cloud Provider for Frigate AI.
Atlas Cloud (https://www.atlascloud.ai) is an OpenAI-compatible inference
platform that serves a range of vision-capable models. Because its chat
completions API follows the OpenAI standard, this provider inherits all
transport, vision, streaming, reasoning, and tool-calling logic from
:class:`OpenAIClient` and only overrides what is Atlas-specific:
- Client construction: defaults ``base_url`` to the Atlas Cloud endpoint
when the user has not set one explicitly, so a minimal config (provider +
api_key + model) works out of the box. A user-supplied ``base_url`` still
takes precedence.
- Context size: the Atlas ``/models`` endpoint does not reliably surface a
per-model context window, so we fall back to a conservative default rather
than the model-name heuristic used by OpenAI. It can be overridden via
``provider_options.context_size``.
"""
import logging
from typing import Optional
from openai import OpenAI
from frigate.config import GenAIProviderEnum
from frigate.genai import register_genai_provider
from frigate.genai.plugins.openai import OpenAIClient
logger = logging.getLogger(__name__)
DEFAULT_BASE_URL = "https://api.atlascloud.ai/v1"
# Atlas serves large-context models, but its model listing does not expose a
# per-model context window; default conservatively and let users override via
# provider_options.context_size when they know their model's window.
DEFAULT_CONTEXT_SIZE = 32000
@register_genai_provider(GenAIProviderEnum.atlas)
class AtlasClient(OpenAIClient):
"""Generative AI client for Frigate using Atlas Cloud."""
def _init_provider(self) -> OpenAI:
"""Initialize the OpenAI client pointed at Atlas Cloud.
Defaults ``base_url`` to the Atlas endpoint when the user has not set
one, then defers to the OpenAI implementation for everything else.
"""
if not self.genai_config.base_url:
self.genai_config.base_url = DEFAULT_BASE_URL
return super()._init_provider()
def get_context_size(self) -> int:
"""Return the context window for Atlas models.
A manually specified ``context_size`` in ``provider_options`` always
wins; otherwise fall back to a conservative default since Atlas does
not reliably surface per-model context windows.
"""
if self.context_size is not None:
return self.context_size
provider_context_size: Optional[int] = self.genai_config.provider_options.get(
"context_size"
)
if provider_context_size is not None:
self.context_size = provider_context_size
return self.context_size
self.context_size = DEFAULT_CONTEXT_SIZE
return self.context_size
+41
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@@ -0,0 +1,41 @@
"""Tests for frigate.util.builtin helpers."""
import unittest
from unittest.mock import patch
from frigate.util.builtin import EventsPerSecond
class TestEventsPerSecond(unittest.TestCase):
def test_eps_is_zero_before_any_events(self) -> None:
eps = EventsPerSecond()
with patch("frigate.util.builtin.time.monotonic", return_value=100.0):
self.assertEqual(eps.eps(), 0.0)
def test_eps_counts_events_in_window(self) -> None:
eps = EventsPerSecond(last_n_seconds=10)
clock = [1000.0]
with patch("frigate.util.builtin.time.monotonic", side_effect=lambda: clock[0]):
eps.start()
# one event per second for five seconds
for _ in range(5):
clock[0] += 1.0
eps.update()
# five events over the five seconds since start
self.assertAlmostEqual(eps.eps(), 1.0)
def test_old_timestamps_expire_from_window(self) -> None:
eps = EventsPerSecond(last_n_seconds=10)
clock = [0.0]
with patch("frigate.util.builtin.time.monotonic", side_effect=lambda: clock[0]):
eps.start()
for _ in range(10):
clock[0] += 1.0
eps.update()
# jump well past the window so every timestamp ages out
clock[0] += 100.0
self.assertEqual(eps.eps(), 0.0)
if __name__ == "__main__":
unittest.main()
+175
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@@ -0,0 +1,175 @@
"""Unit tests for `deny_response_for_go2rtc_stream`.
Covers the camera-level authorization enforced in the `/auth` subrequest for
the nginx-proxied go2rtc live-stream paths (MSE/WebRTC WebSockets and the
WebRTC signaling endpoint). These paths name the stream via the `src` query
param, which the static-media auth in `media_auth` does not inspect.
"""
import types
import unittest
from frigate.api.auth import deny_response_for_go2rtc_stream
from frigate.config import FrigateConfig
_CONFIG = {
"mqtt": {"host": "mqtt"},
"auth": {
"roles": {
"limited_user": ["front_door"],
"dual_user": ["front_door", "back_door"],
}
},
"cameras": {
"front_door": {
"ffmpeg": {
"inputs": [{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}]
},
"detect": {"height": 1080, "width": 1920, "fps": 5},
# go2rtc stream name differs from the camera name (substream)
"live": {"streams": {"Main Stream": "front_door_sub"}},
},
"back_door": {
"ffmpeg": {
"inputs": [{"path": "rtsp://10.0.0.2:554/video", "roles": ["detect"]}]
},
"detect": {"height": 1080, "width": 1920, "fps": 5},
},
"garage": {
"ffmpeg": {
"inputs": [{"path": "rtsp://10.0.0.3:554/video", "roles": ["detect"]}]
},
"detect": {"height": 1080, "width": 1920, "fps": 5},
},
},
}
def _request(config: FrigateConfig) -> types.SimpleNamespace:
return types.SimpleNamespace(app=types.SimpleNamespace(frigate_config=config))
class TestDenyResponseForGo2rtcStream(unittest.TestCase):
def setUp(self) -> None:
self.config = FrigateConfig(**_CONFIG)
self.request = _request(self.config)
def _deny(self, url: str, role: str):
return deny_response_for_go2rtc_stream(url, role, self.request)
# --- non-stream paths pass through ---
def test_non_stream_path_passes_through(self):
self.assertIsNone(
self._deny("http://host/clips/back_door-1.jpg", "limited_user")
)
def test_empty_url_passes_through(self):
self.assertIsNone(self._deny("", "limited_user"))
def test_jsmpeg_path_not_handled_here(self):
# jsmpeg is authorized per-frame in the output pipeline, not here
self.assertIsNone(
self._deny("http://host/live/jsmpeg/back_door", "limited_user")
)
# --- restricted role: allowed vs forbidden cameras ---
def test_mse_allowed_camera(self):
self.assertIsNone(
self._deny("http://host/live/mse/api/ws?src=front_door", "limited_user")
)
def test_mse_forbidden_camera_denied(self):
self.assertEqual(
self._deny("http://host/live/mse/api/ws?src=back_door", "limited_user"),
403,
)
def test_webrtc_ws_forbidden_camera_denied(self):
self.assertEqual(
self._deny("http://host/live/webrtc/api/ws?src=back_door", "limited_user"),
403,
)
def test_webrtc_signaling_forbidden_camera_denied(self):
self.assertEqual(
self._deny("http://host/api/go2rtc/webrtc?src=back_door", "limited_user"),
403,
)
def test_unknown_camera_denied(self):
self.assertEqual(
self._deny("http://host/live/mse/api/ws?src=nonexistent", "limited_user"),
403,
)
def test_missing_src_denied(self):
self.assertEqual(self._deny("http://host/live/mse/api/ws", "limited_user"), 403)
# --- multi-camera role: each assigned camera allowed, others denied ---
def test_multi_camera_role_allows_first_assigned(self):
self.assertIsNone(
self._deny("http://host/live/mse/api/ws?src=front_door", "dual_user")
)
def test_multi_camera_role_allows_second_assigned(self):
self.assertIsNone(
self._deny("http://host/live/mse/api/ws?src=back_door", "dual_user")
)
def test_multi_camera_role_denies_unassigned(self):
# garage is configured but not in dual_user's allow-list
self.assertEqual(
self._deny("http://host/live/mse/api/ws?src=garage", "dual_user"),
403,
)
# --- substream names resolve to their owning camera ---
def test_allowed_substream_resolves_to_owning_camera(self):
# front_door_sub is owned by front_door, which limited_user may access
self.assertIsNone(
self._deny("http://host/live/mse/api/ws?src=front_door_sub", "limited_user")
)
# --- multiple src values: deny if any is forbidden ---
def test_multiple_src_one_forbidden_denied(self):
self.assertEqual(
self._deny(
"http://host/live/mse/api/ws?src=front_door&src=back_door",
"limited_user",
),
403,
)
def test_multiple_src_all_allowed(self):
self.assertIsNone(
self._deny(
"http://host/live/mse/api/ws?src=front_door&src=front_door_sub",
"limited_user",
)
)
# --- privileged roles bypass the check ---
def test_admin_bypasses(self):
self.assertIsNone(
self._deny("http://host/live/mse/api/ws?src=back_door", "admin")
)
def test_builtin_viewer_role_bypasses(self):
# the built-in viewer role is not in the config allow-list map, so it
# is treated as full access
self.assertIsNone(
self._deny("http://host/live/mse/api/ws?src=back_door", "viewer")
)
def test_missing_role_bypasses(self):
self.assertIsNone(self._deny("http://host/live/mse/api/ws?src=back_door", None))
if __name__ == "__main__":
unittest.main()
+7 -9
View File
@@ -2,7 +2,6 @@
import ast
import copy
import datetime
import logging
import math
import multiprocessing.queues
@@ -10,7 +9,9 @@ import queue
import re
import shlex
import struct
import time
import urllib.parse
from collections import deque
from collections.abc import Mapping
from multiprocessing.managers import ValueProxy
from pathlib import Path
@@ -32,23 +33,20 @@ class EventsPerSecond:
self._start = None
self._max_events = max_events
self._last_n_seconds = last_n_seconds
self._timestamps = []
self._timestamps: deque[float] = deque(maxlen=max_events)
def start(self) -> None:
self._start = datetime.datetime.now().timestamp()
self._start = time.monotonic()
def update(self) -> None:
now = datetime.datetime.now().timestamp()
now = time.monotonic()
if self._start is None:
self._start = now
self._timestamps.append(now)
# truncate the list when it goes 100 over the max_size
if len(self._timestamps) > self._max_events + 100:
self._timestamps = self._timestamps[(1 - self._max_events) :]
self.expire_timestamps(now)
def eps(self) -> float:
now = datetime.datetime.now().timestamp()
now = time.monotonic()
if self._start is None:
self._start = now
# compute the (approximate) events in the last n seconds
@@ -63,7 +61,7 @@ class EventsPerSecond:
def expire_timestamps(self, now: float) -> None:
threshold = now - self._last_n_seconds
while self._timestamps and self._timestamps[0] < threshold:
del self._timestamps[0]
self._timestamps.popleft()
class InferenceSpeed:
@@ -70,6 +70,13 @@
"selectFromTimeline": "Select from Timeline",
"cameraSelection": "Cameras",
"cameraSelectionHelp": "Cameras with tracked objects in this time range are pre-selected",
"searchOrSelectGroup": "Search, or select a camera group...",
"selectAll": "Select all cameras",
"clearSelection": "Clear selection",
"selectWithActivity": "Cameras with tracked objects",
"selectGroup": "Select group",
"noMatchingCameras": "No cameras match your search",
"selectedCount": "{{selected}} / {{total}} selected",
"checkingActivity": "Checking camera activity...",
"noCameras": "No cameras available",
"detectionCount_one": "1 tracked object",
@@ -243,12 +243,7 @@ export default function CameraReviewClassification({
handleZoneToggle("alerts.required_zones", zone.name)
}
/>
<Label
className={cn(
"font-normal",
!zone.friendly_name && "smart-capitalize",
)}
>
<Label className="font-normal">
{zone.friendly_name || zone.name}
</Label>
</div>
@@ -29,8 +29,8 @@ function getZoneDisplayName(zoneName: string, context?: FormContext): string {
}
}
}
// Fallback to cleaning up the zone name
return String(zoneName).replace(/_/g, " ");
// Fallback to the raw zone id verbatim (no friendly_name available)
return String(zoneName);
}
export function ZoneSwitchesWidget(props: WidgetProps) {
+191 -9
View File
@@ -39,6 +39,16 @@ import {
TooltipContent,
TooltipTrigger,
} from "@/components/ui/tooltip";
import {
Command,
CommandGroup,
CommandInput,
CommandItem,
CommandList,
CommandSeparator,
} from "../ui/command";
import { IconRenderer } from "../icons/IconPicker";
import * as LuIcons from "react-icons/lu";
import { isDesktop, isMobile } from "react-device-detect";
import { Drawer, DrawerContent, DrawerTrigger } from "../ui/drawer";
import SaveExportOverlay from "./SaveExportOverlay";
@@ -376,6 +386,9 @@ export function ExportContent({
const [newCaseName, setNewCaseName] = useState("");
const [newCaseDescription, setNewCaseDescription] = useState("");
const [isStartingBatchExport, setIsStartingBatchExport] = useState(false);
const [cameraSearch, setCameraSearch] = useState("");
const [cameraMenuOpen, setCameraMenuOpen] = useState(false);
const cameraMenuRef = useRef<HTMLDivElement>(null);
const multiRangeKey = useMemo(() => {
if (activeTab !== "multi" || !range) {
return undefined;
@@ -577,6 +590,75 @@ export function ExportContent({
);
}, []);
const availableCameraIds = useMemo(
() => cameraActivities.map((activity) => activity.camera),
[cameraActivities],
);
const activeCameraIds = useMemo(
() =>
cameraActivities
.filter((activity) => activity.hasDetections)
.map((activity) => activity.camera),
[cameraActivities],
);
const cameraGroups = useMemo(
() =>
Object.entries(config?.camera_groups ?? {})
.map(([name, group]) => ({
name,
icon: group.icon,
order: group.order,
cameras: group.cameras.filter((cameraId) =>
availableCameraIds.includes(cameraId),
),
}))
.filter((group) => group.cameras.length > 0)
.sort((a, b) => a.order - b.order),
[config?.camera_groups, availableCameraIds],
);
// Filter the rendered camera cards by the search query
const filteredCameraActivities = useMemo(() => {
const query = cameraSearch.trim().toLowerCase();
if (!query) {
return cameraActivities;
}
return cameraActivities.filter((activity) => {
const friendlyName = resolveCameraName(config, activity.camera);
return (
activity.camera.toLowerCase().includes(query) ||
friendlyName.toLowerCase().includes(query)
);
});
}, [cameraActivities, cameraSearch, config]);
// Group/all/activity selection replaces the current selection
const applyCameraSelection = useCallback((cameraIds: string[]) => {
setHasManualCameraSelection(true);
setSelectedCameraIds(cameraIds);
setCameraMenuOpen(false);
}, []);
// Close the dropdown when focus leaves the camera selection control entirely
const handleCameraInputBlur = useCallback((event: React.FocusEvent) => {
if (
cameraMenuRef.current &&
!cameraMenuRef.current.contains(event.relatedTarget as Node)
) {
setCameraMenuOpen(false);
}
}, []);
// Reset the search and dropdown when leaving the multi-camera tab
useEffect(() => {
if (activeTab !== "multi") {
setCameraSearch("");
setCameraMenuOpen(false);
}
}, [activeTab]);
const startBatchExport = useCallback(async () => {
if (isStartingBatchExport) {
return;
@@ -802,7 +884,7 @@ export function ExportContent({
{isAdmin && (
<div className="space-y-2">
<Label className="text-sm text-secondary-foreground">
<Label className="text-sm text-primary">
{t("export.case.label")}
</Label>
<Select
@@ -859,7 +941,7 @@ export function ExportContent({
)}
>
<div className="space-y-2">
<Label className="text-sm text-secondary-foreground">
<Label className="text-sm text-primary">
{t("export.multiCamera.timeRange")}
</Label>
<div className="flex items-center gap-2">
@@ -902,16 +984,109 @@ export function ExportContent({
</div>
<div className="space-y-2">
<Label className="text-sm text-secondary-foreground">
{t("export.multiCamera.cameraSelection")}
</Label>
<div className="flex items-center justify-between gap-2">
<Label className="text-sm text-primary">
{t("export.multiCamera.cameraSelection")}
</Label>
{availableCameraIds.length > 0 && (
<span className="text-xs text-muted-foreground">
{t("export.multiCamera.selectedCount", {
selected: selectedCameraCount,
total: availableCameraIds.length,
})}
</span>
)}
</div>
<div className="text-xs text-muted-foreground">
{t("export.multiCamera.cameraSelectionHelp")}
</div>
{!isEventsLoading && availableCameraIds.length > 0 && (
<div className="relative" ref={cameraMenuRef}>
<Command
shouldFilter={false}
className="overflow-visible rounded-md border bg-secondary/40"
>
<CommandInput
value={cameraSearch}
onValueChange={setCameraSearch}
onFocus={() => setCameraMenuOpen(true)}
onBlur={handleCameraInputBlur}
placeholder={t("export.multiCamera.searchOrSelectGroup")}
/>
{/* Hide the actions/groups menu while a search query is
active so it doesn't cover the filtered camera cards. */}
{cameraMenuOpen && cameraSearch.trim().length === 0 && (
<CommandList className="absolute top-full z-10 mt-1 max-h-72 w-full rounded-md border bg-background shadow-md">
<CommandGroup>
<CommandItem
value="action:select-all"
className="cursor-pointer"
onSelect={() =>
applyCameraSelection(availableCameraIds)
}
>
<span>{t("export.multiCamera.selectAll")}</span>
<span className="ml-auto text-xs text-muted-foreground">
{availableCameraIds.length}
</span>
</CommandItem>
<CommandItem
value="action:clear"
className="cursor-pointer"
onSelect={() => applyCameraSelection([])}
>
{t("export.multiCamera.clearSelection")}
</CommandItem>
<CommandItem
value="action:activity"
className="cursor-pointer"
onSelect={() => applyCameraSelection(activeCameraIds)}
>
<span>
{t("export.multiCamera.selectWithActivity")}
</span>
<span className="ml-auto text-xs text-muted-foreground">
{activeCameraIds.length}
</span>
</CommandItem>
</CommandGroup>
{cameraGroups.length > 0 && (
<>
<CommandSeparator />
<CommandGroup
heading={t("export.multiCamera.selectGroup")}
>
{cameraGroups.map((group) => (
<CommandItem
key={group.name}
value={`group:${group.name}`}
className="cursor-pointer"
onSelect={() =>
applyCameraSelection(group.cameras)
}
>
<IconRenderer
icon={LuIcons[group.icon]}
className="mr-2 size-4 text-secondary-foreground"
/>
<span className="truncate">{group.name}</span>
<span className="ml-auto text-xs text-muted-foreground">
{group.cameras.length}
</span>
</CommandItem>
))}
</CommandGroup>
</>
)}
</CommandList>
)}
</Command>
</div>
)}
<div
className={cn(
"scrollbar-container space-y-2",
isDesktop && "max-h-64 overflow-y-auto pr-1",
isDesktop && "max-h-64 overflow-y-auto p-0.5 pr-1",
)}
>
{isEventsLoading && (
@@ -924,7 +1099,14 @@ export function ExportContent({
{t("export.multiCamera.noCameras")}
</div>
)}
{cameraActivities.map((activity) => {
{!isEventsLoading &&
cameraActivities.length > 0 &&
filteredCameraActivities.length === 0 && (
<div className="px-2 py-4 text-sm text-muted-foreground">
{t("export.multiCamera.noMatchingCameras")}
</div>
)}
{filteredCameraActivities.map((activity) => {
const isSelected = selectedCameraIds.includes(activity.camera);
return (
@@ -981,7 +1163,7 @@ export function ExportContent({
</div>
<div className="space-y-2">
<Label className="text-sm text-secondary-foreground">
<Label className="text-sm text-primary">
{t("export.multiCamera.nameLabel")}
</Label>
<Input
@@ -994,7 +1176,7 @@ export function ExportContent({
{isAdmin && (
<div className="space-y-2">
<Label className="text-sm text-secondary-foreground">
<Label className="text-sm text-primary">
{t("export.case.label")}
</Label>
<Select
@@ -1197,14 +1197,7 @@ function LifecycleIconRow({
backgroundColor: `rgb(${color})`,
}}
/>
<span
className={cn(
item.data?.zones_friendly_names?.[zidx] === zone &&
"smart-capitalize",
)}
>
{item.data?.zones_friendly_names?.[zidx]}
</span>
<span>{item.data?.zones_friendly_names?.[zidx]}</span>
</Badge>
);
})}
+5 -5
View File
@@ -7,12 +7,12 @@ export function resolveZoneName(
zoneId: string,
cameraId?: string,
) {
if (!config) return String(zoneId).replace(/_/g, " ");
if (!config) return String(zoneId);
if (cameraId) {
const camera = config.cameras?.[String(cameraId)];
const zone = camera?.zones?.[zoneId];
return zone?.friendly_name || String(zoneId).replace(/_/g, " ");
return zone?.friendly_name || String(zoneId);
}
for (const camKey in config.cameras) {
@@ -21,12 +21,12 @@ export function resolveZoneName(
if (!cam?.zones) continue;
if (Object.prototype.hasOwnProperty.call(cam.zones, zoneId)) {
const zone = cam.zones[zoneId];
return zone?.friendly_name || String(zoneId).replace(/_/g, " ");
return zone?.friendly_name || String(zoneId);
}
}
// Fallback: return a cleaned-up zoneId string
return String(zoneId).replace(/_/g, " ");
// Fallback: display the raw zone id verbatim (no friendly_name available)
return String(zoneId);
}
export function useZoneFriendlyName(zoneId: string, cameraId?: string): string {