mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 21:36:32 +00:00
Oleksandr Bezdieniezhnykh
8baa96978b
- Updated the detection image endpoint to require a channel ID for event streaming. - Introduced a new endpoint for streaming detection events, allowing clients to receive real-time updates. - Enhanced the internal buffering mechanism for detection events to manage multiple channels. - Refactored the inference module to support the new event handling structure. Made-with: Cursor
132 lines
4.1 KiB
Python
132 lines
4.1 KiB
Python
import json
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import threading
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import time
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import uuid
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from pathlib import Path
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import pytest
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import sseclient
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FIXTURES_DIR = Path(__file__).resolve().parent.parent / "fixtures"
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_VIDEO = str(FIXTURES_DIR / "video_test01.mp4")
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def _chunked_reader(path: str, chunk_size: int = 64 * 1024):
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with open(path, "rb") as f:
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while True:
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chunk = f.read(chunk_size)
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if not chunk:
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break
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yield chunk
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@pytest.fixture(scope="module")
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def video_events(warm_engine, http_client, auth_headers):
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if not Path(_VIDEO).is_file():
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pytest.skip(f"missing fixture {_VIDEO}")
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channel_id = str(uuid.uuid4())
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collected: list[tuple[float, dict]] = []
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thread_exc: list[BaseException] = []
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done = threading.Event()
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connected = threading.Event()
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def _listen():
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try:
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with http_client.get(
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f"/detect/events/{channel_id}",
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stream=True,
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timeout=60,
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headers=auth_headers,
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) as resp:
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resp.raise_for_status()
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connected.set()
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sse = sseclient.SSEClient(resp)
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for event in sse.events():
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if not event.data or not str(event.data).strip():
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continue
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data = json.loads(event.data)
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collected.append((time.monotonic(), data))
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if (
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data.get("mediaStatus") == "AIProcessed"
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and data.get("mediaPercent") == 100
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):
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break
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except BaseException as e:
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thread_exc.append(e)
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finally:
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connected.set()
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done.set()
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th = threading.Thread(target=_listen, daemon=True)
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th.start()
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connected.wait(timeout=5)
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r = http_client.post(
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"/detect/video",
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data=_chunked_reader(_VIDEO),
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headers={
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**auth_headers,
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"X-Channel-Id": channel_id,
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"X-Filename": "video_test01.mp4",
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"Content-Type": "application/octet-stream",
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},
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timeout=15,
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)
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assert r.status_code == 202
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assert done.wait(timeout=30)
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th.join(timeout=5)
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assert not thread_exc, thread_exc
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return collected
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@pytest.mark.timeout(30)
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def test_ft_p_10_frame_sampling_ac1(video_events):
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# Assert
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processing = [d for _, d in video_events if d.get("mediaStatus") == "AIProcessing"]
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assert len(processing) >= 2
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final = video_events[-1][1]
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assert final["mediaStatus"] == "AIProcessed"
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assert final["mediaPercent"] == 100
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@pytest.mark.timeout(30)
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def test_ft_p_11_annotation_interval_ac2(video_events):
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# Assert
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processing = [
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(t, d) for t, d in video_events if d.get("mediaStatus") == "AIProcessing"
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]
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assert len(processing) >= 2
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gaps = [processing[i][0] - processing[i - 1][0] for i in range(1, len(processing))]
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assert all(g >= 0.0 for g in gaps)
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final = video_events[-1][1]
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assert final["mediaStatus"] == "AIProcessed"
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assert final["mediaPercent"] == 100
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@pytest.mark.timeout(30)
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def test_ft_p_12_movement_tracking_ac3(video_events):
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# Assert
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for _, e in video_events:
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anns = e.get("annotations")
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if not anns:
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continue
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assert isinstance(anns, list)
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for d in anns:
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assert isinstance(d["centerX"], (int, float))
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assert isinstance(d["centerY"], (int, float))
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assert isinstance(d["width"], (int, float))
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assert isinstance(d["height"], (int, float))
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assert 0.0 <= float(d["centerX"]) <= 1.0
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assert 0.0 <= float(d["centerY"]) <= 1.0
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assert 0.0 <= float(d["width"]) <= 1.0
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assert 0.0 <= float(d["height"]) <= 1.0
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assert isinstance(d["classNum"], int)
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assert isinstance(d["label"], str)
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assert isinstance(d["confidence"], (int, float))
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assert 0.0 <= float(d["confidence"]) <= 1.0
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final = video_events[-1][1]
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assert final["mediaStatus"] == "AIProcessed"
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assert final["mediaPercent"] == 100
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