按需求重排标注图: - 去掉右侧全脸总高标尺,去掉单眼宽度/两眼间距/脸宽 三条横向标注 - 横向 5 条线标注线名(头顶/发际线/眉心/鼻翼下缘/下巴尖) + 保留左侧四庭 cm - 新增纵向 6 条渐变竖线(左脸颊/左右眼内外角/右脸颊),切脸宽为 5 段 - 每段宽度在顶部和底部各标一次(只标 X.XXcm),相邻段上下错行防重叠 - 新增 draw_gradient_vertical_line 竖向渐变线 - test_api 用模块级 ACCEPT_PASSWORDS 固定测试密码,不依赖 worker_config.json Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
93 lines
3.0 KiB
Python
93 lines
3.0 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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# 测试自带固定密码,避免依赖 worker_config.json 的实际值(中间件运行期读模块全局)
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app_module.ACCEPT_PASSWORDS = ["testpass"]
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URL = "/api/v1/face/measure"
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H = {"X-Internal-Token": "testpass"}
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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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