weijuesen
56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
import base64
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from fastapi.testclient import TestClient
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from app.main import app
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# 1x1 透明 PNG
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TINY_PNG = base64.b64decode(
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"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
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)
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client = TestClient(app)
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def test_health():
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r = client.get("/health")
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assert r.status_code == 200
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body = r.json()
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assert body["status"] == "ok"
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assert body["model"] in ("mock", "onnx")
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def test_detect_ok():
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r = client.post("/detect", files={"file": ("a.png", TINY_PNG, "image/png")})
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assert r.status_code == 200
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body = r.json()
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assert body["model"] == "mock"
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assert len(body["detections"]) >= 1
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d = body["detections"][0]
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assert d["class"] in ("healthy", "sick")
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assert 0 <= d["confidence"] <= 1
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assert d["bbox"]["w"] > 0
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def test_detect_empty_file_rejected():
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r = client.post("/detect", files={"file": ("a.png", b"", "image/png")})
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assert r.status_code == 400
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def test_detect_invalid_image_rejected():
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r = client.post("/detect", files={"file": ("a.png", b"junk", "image/png")})
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assert r.status_code == 400
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def test_stream_detect_missing_url():
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r = client.post("/stream-detect", json={})
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assert r.status_code == 400
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def test_metrics_shape():
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r = client.get("/metrics")
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assert r.status_code == 200
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body = r.json()
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for key in ("model", "uptimeSeconds", "requests", "avgLatencyMs", "gpu"):
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assert key in body
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