mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 21:56:33 +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
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import re
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from datetime import datetime
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from pathlib import Path
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import pytest
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@pytest.mark.slow
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@pytest.mark.timeout(120)
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def test_nft_res_lim_03_max_detections_per_frame(
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warm_engine, image_detect, image_dense
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):
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detections, _ = image_detect(image_dense, "img.jpg", timeout=120)
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assert isinstance(detections, list)
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assert len(detections) <= 300
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@pytest.mark.slow
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def test_nft_res_lim_04_log_file_rotation(warm_engine, image_detect, image_small):
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image_detect(image_small, "img.jpg", timeout=60)
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candidates = [
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Path(__file__).resolve().parent.parent / "logs",
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Path("/app/Logs"),
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]
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log_dir = next((p for p in candidates if p.is_dir()), None)
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if log_dir is None:
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pytest.skip("Log directory not accessible from e2e-runner container")
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today = datetime.now().strftime("%Y%m%d")
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expected = f"log_inference_{today}.txt"
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names = {p.name for p in log_dir.iterdir() if p.is_file()}
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if expected not in names:
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pat = re.compile(r"^log_inference_\d{8}\.txt$")
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assert any(pat.match(n) for n in names), names
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