xslandClaude Opus 4.8
8d3b145111
worker 侧从 Mock 替换为真实算法： - face_analysis 包：detector(MediaPipe 478点) / pose(solvePnP 姿态) / calibration(虹膜直径法) / hair_segmenter+bisenet_model(方案B 头发分割) / measure(方案A兜底+B/A决策+七眼+换算) / annotation(numpy渐变线+中文标注) - app.py：/api/v1/face/measure 接真实实现，返回 annotated_image_base64 （不落盘不拼URL，落盘由网关做）；加 X-Internal-Token 鉴权、/health 就绪态、 可配置分辨率门槛、异常兜底 - 部署：start.sh/run_worker.sh/hair-worker.service 监听 8187；worker_config 示例 - 测试 tests/：Tier1合成真值<1e-6 + Tier2缩放不变 + Tier3叠加 + 错误码集成 + 数值回归，pytest 24 项全绿 - 文档补实测基线表 + RTX5090/torch 说明 注：worker 为 RTX 5090(sm_120)，pinned torch 2.2.2(cu121) 只到 sm_90， BiSeNet 已自动回退 CPU（方案B 正常）；要用 GPU 需换 torch cu128(≥2.7)。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
"""接口集成测试（FastAPI TestClient）：错误码 + 鉴权 + 正常用例结构。"""
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import base64
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import pytest
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from fastapi.testclient import TestClient
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from conftest import fixture
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import app as app_module
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URL = "/api/v1/face/measure"
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H = {"X-Internal-Token": "testpass"} # 与 worker_config.json 一致
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@pytest.fixture(scope="module")
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def client():
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# with 触发 lifespan：加载模型单例（detector + 尽力加载 segmenter）
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with TestClient(app_module.app) as c:
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yield c
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def _post(client, fixture_name=None, headers=H, data=None, extra_files=None):
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files = {}
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if fixture_name:
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files["image_file"] = (fixture_name, open(fixture(fixture_name), "rb"), "application/octet-stream")
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if extra_files:
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files.update(extra_files)
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return client.post(URL, headers=headers, files=files or None, data=data)
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def test_auth_missing_token_401(client):
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r = _post(client, "frontal.jpg", headers={})
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assert r.status_code == 401
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def test_health_no_token_200(client):
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r = client.get("/health")
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assert r.status_code == 200
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assert r.json()["status"] == "ok"
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def test_param_none_provided_1007(client):
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r = client.post(URL, headers=H)
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assert r.json()["code"] == 1007
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def test_param_multiple_provided_1007(client):
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r = _post(client, "frontal.jpg", data={"image_url": "http://example.com/x.jpg"})
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assert r.json()["code"] == 1007
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def test_oversize_1006(client, oversize_file):
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files = {"image_file": ("oversize.bin", open(oversize_file, "rb"), "application/octet-stream")}
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r = client.post(URL, headers=H, files=files)
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assert r.json()["code"] == 1006
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def test_lowres_1002(client):
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r = _post(client, "lowres.png")
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assert r.json()["code"] == 1002
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def test_no_face_1001(client):
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r = _post(client, "landscape.jpg")
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assert r.json()["code"] == 1001
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def test_corrupt_1008(client):
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r = _post(client, "corrupt.bin")
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assert r.json()["code"] == 1008
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def test_success_structure(client):
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r = _post(client, "frontal.jpg")
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body = r.json()
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assert body["code"] == 0, body
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data = body["data"]
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# 业务字段对齐文档
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assert set(["face_total_height_cm", "four_courts", "seven_eyes",
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"landmarks", "hairline_source", "head_pose",
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"annotated_image_base64"]).issubset(data.keys())
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assert set(["top_court_cm", "upper_court_cm", "middle_court_cm",
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"lower_court_cm", "ratios"]).issubset(data["four_courts"].keys())
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assert set(["eye_width_cm", "face_width_cm", "inter_eye_distance_cm",
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"ratios"]).issubset(data["seven_eyes"].keys())
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assert data["hairline_source"] in ("segmentation", "estimated")
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# base64 解码为合法 PNG（非 URL）
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assert "annotated_image_url" not in data
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png = base64.b64decode(data["annotated_image_base64"])
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assert png[:8] == b"\x89PNG\r\n\x1a\n"
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