xslandClaude Opus 4.8
94ad95850e
在发际线预览基础上，每种发际线再出一张「植发3个月」生发图： - hairline/mask.py: headmark 5步法遮罩(额头上部区域∩SegFormer头部=ROI， 取发际线曲线以上闭合区域)；用 hairline_texture_black 渲染黑线替代手绘检测； compose_comfy_rgba 合成 RGBA(alpha=255-mask, 透明=重绘区, 对齐 ComfyUI mask=1-alpha) - hairline/comfyui.py: ComfyUI 客户端(默认8182)，/upload/image+/prompt(改节点26+随机seed) +轮询/history+/view 取回生发图 - hairline/render.py: 抽出 build_overlay_layer 供遮罩取曲线像素 - hairline/service.py: extract_context 一次出 landmarks/parse_map/502点； generate_grow_results 每种=预览+生发图(同步串行N张，单张ComfyUI失败则grown置空不拖垮整请求) - app.py: /hair/grow 返回 results[].grown_image_base64；重活放线程池避免卡事件循环 - add_hair.json 工作流 + hairline_texture_black/ 黑贴图入库 - 测试: test_mask.py(遮罩几何) + test_api mock ComfyUI 验 grown 字段，35 全绿 实测(5090): female 5张生发图同步约18s；预览/生发图人物五官服饰背景保持、黑线已清除。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
124 lines
4.2 KiB
Python
124 lines
4.2 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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GROW = "/api/v1/hair/grow"
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def test_grow_missing_gender_1004(client):
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files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
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r = client.post(GROW, headers=H, files=files)
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assert r.json()["code"] == 1004
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_PNG_1x1 = base64.b64decode(
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"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
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)
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def test_grow_female_returns_5(client, monkeypatch):
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# mock ComfyUI：不依赖 8182、不跑 Flux，只验证管线接线 + grown 字段
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import hairline.comfyui as comfy
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monkeypatch.setattr(comfy, "run", lambda *a, **k: _PNG_1x1)
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files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
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r = client.post(GROW, headers=H, files=files, data={"gender": "female"})
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body = r.json()
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assert body["code"] == 0, body
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results = body["data"]["results"]
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assert [x["hairline_type"] for x in results] == ["ellipse", "flower", "heart", "straight", "wave"]
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assert [x["order"] for x in results] == [1, 2, 3, 4, 5]
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assert base64.b64decode(results[0]["image_base64"])[:8] == b"\x89PNG\r\n\x1a\n"
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assert base64.b64decode(results[0]["grown_image_base64"])[:8] == b"\x89PNG\r\n\x1a\n"
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assert "image_url" not in results[0]
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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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