mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 08:46:32 +00:00
Oleksandr Bezdieniezhnykh
097811a67b
- Pin all deps; h11==0.16.0 (CVE-2025-43859), python-multipart>=1.3.1 (CVE-2026-28356), PyJWT==2.12.1
- Add HMAC JWT verification (require_auth FastAPI dependency, JWT_SECRET-gated)
- Fix TokenManager._refresh() to use ADMIN_API_URL instead of ANNOTATIONS_URL
- Rename POST /detect → POST /detect/image (image-only, rejects video files)
- Replace global SSE stream with per-job SSE: GET /detect/{media_id} with event replay buffer
- Apply require_auth to all 4 protected endpoints
- Fix on_annotation/on_status closure to use mutable current_id for correct post-upload event routing
- Add non-root appuser to Dockerfile and Dockerfile.gpu
- Add JWT_SECRET to e2e/docker-compose.test.yml and run-tests.sh
- Update all e2e tests and unit tests for new endpoints and HMAC token signing
- 64/64 tests pass
Made-with: Cursor
81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
import json
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import time
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import pytest
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def _percentile_ms(sorted_ms, p):
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n = len(sorted_ms)
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if n == 0:
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return 0.0
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if n == 1:
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return float(sorted_ms[0])
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k = (n - 1) * (p / 100.0)
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lo = int(k)
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hi = min(lo + 1, n - 1)
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w = k - lo
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return sorted_ms[lo] * (1 - w) + sorted_ms[hi] * w
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@pytest.mark.timeout(60)
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def test_nft_perf_01_single_image_latency_p95(
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warm_engine, http_client, image_small, auth_headers
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):
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times_ms = []
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for _ in range(10):
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t0 = time.perf_counter()
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r = http_client.post(
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"/detect/image",
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files={"file": ("img.jpg", image_small, "image/jpeg")},
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headers=auth_headers,
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timeout=8,
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)
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elapsed_ms = (time.perf_counter() - t0) * 1000.0
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assert r.status_code == 200
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times_ms.append(elapsed_ms)
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sorted_ms = sorted(times_ms)
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p50 = _percentile_ms(sorted_ms, 50)
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p95 = _percentile_ms(sorted_ms, 95)
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p99 = _percentile_ms(sorted_ms, 99)
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print(
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"nft_perf_01_csv,run_ms,"
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+ ",".join(f"{x:.2f}" for x in sorted_ms)
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+ f",p50,{p50:.2f},p95,{p95:.2f},p99,{p99:.2f}"
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)
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assert p95 < 5000.0
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@pytest.mark.timeout(60)
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def test_nft_perf_03_tiling_overhead_large_image(
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warm_engine, http_client, image_small, image_large, auth_headers
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):
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t_small = time.perf_counter()
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r_small = http_client.post(
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"/detect/image",
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files={"file": ("small.jpg", image_small, "image/jpeg")},
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headers=auth_headers,
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timeout=8,
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)
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small_ms = (time.perf_counter() - t_small) * 1000.0
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assert r_small.status_code == 200
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config = json.dumps(
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{"altitude": 400, "focal_length": 24, "sensor_width": 23.5}
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)
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t_large = time.perf_counter()
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r_large = http_client.post(
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"/detect/image",
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files={"file": ("large.jpg", image_large, "image/jpeg")},
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data={"config": config},
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headers=auth_headers,
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timeout=20,
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)
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large_ms = (time.perf_counter() - t_large) * 1000.0
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assert r_large.status_code == 200
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assert large_ms < 30_000.0
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print(
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f"nft_perf_03_csv,baseline_small_ms,{small_ms:.2f},large_ms,{large_ms:.2f}"
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)
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assert large_ms > small_ms - 500.0
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