"""接口集成测试(FastAPI TestClient):错误码 + 鉴权 + 正常用例结构。""" import base64 import pytest from fastapi.testclient import TestClient from conftest import fixture import app as app_module URL = "/api/v1/face/measure" H = {"X-Internal-Token": "testpass"} # 与 worker_config.json 一致 @pytest.fixture(scope="module") def client(): # with 触发 lifespan:加载模型单例(detector + 尽力加载 segmenter) with TestClient(app_module.app) as c: yield c def _post(client, fixture_name=None, headers=H, data=None, extra_files=None): files = {} if fixture_name: files["image_file"] = (fixture_name, open(fixture(fixture_name), "rb"), "application/octet-stream") if extra_files: files.update(extra_files) return client.post(URL, headers=headers, files=files or None, data=data) def test_auth_missing_token_401(client): r = _post(client, "frontal.jpg", headers={}) assert r.status_code == 401 def test_health_no_token_200(client): r = client.get("/health") assert r.status_code == 200 assert r.json()["status"] == "ok" def test_param_none_provided_1007(client): r = client.post(URL, headers=H) assert r.json()["code"] == 1007 def test_param_multiple_provided_1007(client): r = _post(client, "frontal.jpg", data={"image_url": "http://example.com/x.jpg"}) assert r.json()["code"] == 1007 def test_oversize_1006(client, oversize_file): files = {"image_file": ("oversize.bin", open(oversize_file, "rb"), "application/octet-stream")} r = client.post(URL, headers=H, files=files) assert r.json()["code"] == 1006 def test_lowres_1002(client): r = _post(client, "lowres.png") assert r.json()["code"] == 1002 def test_no_face_1001(client): r = _post(client, "landscape.jpg") assert r.json()["code"] == 1001 def test_corrupt_1008(client): r = _post(client, "corrupt.bin") assert r.json()["code"] == 1008 def test_success_structure(client): r = _post(client, "frontal.jpg") body = r.json() assert body["code"] == 0, body data = body["data"] # 业务字段对齐文档 assert set(["face_total_height_cm", "four_courts", "seven_eyes", "landmarks", "hairline_source", "head_pose", "annotated_image_base64"]).issubset(data.keys()) assert set(["top_court_cm", "upper_court_cm", "middle_court_cm", "lower_court_cm", "ratios"]).issubset(data["four_courts"].keys()) assert set(["eye_width_cm", "face_width_cm", "inter_eye_distance_cm", "ratios"]).issubset(data["seven_eyes"].keys()) assert data["hairline_source"] in ("segmentation", "estimated") # base64 解码为合法 PNG(非 URL) assert "annotated_image_url" not in data png = base64.b64decode(data["annotated_image_base64"]) assert png[:8] == b"\x89PNG\r\n\x1a\n"