xslandClaude Opus 4.8
0e71830bb6
接口4 改用远程视觉大模型(算法来源 /home/xsl/fuyan)，一次返回几十项面部特征。 - face_features.py: 火山方舟 Ark 客户端(单例)+doubao-seed-1-6-vision prompt(移植fuyan) +base64 data URI喂图(实测doubao接受)+解析JSON+映射6英文优先字段(face_shape等) 并保留doubao全部中文字段；has_face 据"图片是否有人脸"判定 - app.py: /face/features 真实实现，三选一图(image_url直传doubao,file/base64转dataURI)， features 为 JSON 字符串；无人脸→1001；重活线程池 - 配置: API Key 走 worker_config.json.ark_api_key / 环境变量 ARK_API_KEY(不入git); worker_config.example 加占位; requirements 加 volcengine-python-sdk[ark] - 文档: 接口文档/OpenAPI 更新为豆包实现+几十项字段+1001 - 测试: mock doubao 的成功/无人脸/多参，47全绿 ⚠️ 唯一调外网云模型的接口，worker 需可达 ark.cn-beijing.volces.com(已实测可达)。 实测 frontal: 42字段, 鹅蛋脸/平眉/18-25岁/静态型/女/少年型。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
200 lines
7.5 KiB
Python
200 lines
7.5 KiB
Python
"""接口集成测试（FastAPI TestClient）：错误码 + 鉴权 + 正常用例结构。"""
|
||
import base64
|
||
import json
|
||
|
||
import pytest
|
||
from fastapi.testclient import TestClient
|
||
from conftest import fixture
|
||
|
||
import app as app_module
|
||
|
||
# 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）
|
||
app_module.ACCEPT_PASSWORDS = ["testpass"]
|
||
|
||
URL = "/api/v1/face/measure"
|
||
H = {"X-Internal-Token": "testpass"}
|
||
|
||
|
||
@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
|
||
|
||
|
||
GROW = "/api/v1/hair/grow"
|
||
|
||
|
||
def test_grow_missing_gender_1004(client):
|
||
files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
r = client.post(GROW, headers=H, files=files)
|
||
assert r.json()["code"] == 1004
|
||
|
||
|
||
_PNG_1x1 = base64.b64decode(
|
||
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
|
||
)
|
||
|
||
|
||
def test_grow_female_returns_5(client, monkeypatch):
|
||
# mock ComfyUI：不依赖 8182、不跑 Flux，只验证管线接线 + grown 字段
|
||
import hairline.comfyui as comfy
|
||
monkeypatch.setattr(comfy, "run", lambda *a, **k: _PNG_1x1)
|
||
|
||
files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
r = client.post(GROW, headers=H, files=files, data={"gender": "female"})
|
||
body = r.json()
|
||
assert body["code"] == 0, body
|
||
results = body["data"]["results"]
|
||
assert [x["hairline_type"] for x in results] == ["ellipse", "flower", "heart", "straight", "wave"]
|
||
assert [x["order"] for x in results] == [1, 2, 3, 4, 5]
|
||
assert base64.b64decode(results[0]["image_base64"])[:8] == b"\x89PNG\r\n\x1a\n"
|
||
assert base64.b64decode(results[0]["grown_image_base64"])[:8] == b"\x89PNG\r\n\x1a\n"
|
||
assert "image_url" not in results[0]
|
||
|
||
|
||
GROWB = "/api/v1/hair/grow-b"
|
||
|
||
|
||
def test_growb_missing_marked_1007(client):
|
||
r = client.post(GROWB, headers=H) # 一张图都没传
|
||
assert r.json()["code"] == 1007
|
||
|
||
|
||
def test_growb_no_line_1001(client):
|
||
files = {"marked_image_file": ("m.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
r = client.post(GROWB, headers=H, files=files) # 无划线 → 拒识
|
||
assert r.json()["code"] == 1001
|
||
|
||
|
||
def test_growb_success(client, monkeypatch):
|
||
import hairline.comfyui as comfy
|
||
monkeypatch.setattr(comfy, "run", lambda *a, **k: _PNG_1x1)
|
||
files = {"marked_image_file": ("m.jpg", open(fixture("marked_hairline.jpg"), "rb"), "application/octet-stream")}
|
||
body = client.post(GROWB, headers=H, files=files).json() # 只传划线图一张
|
||
assert body["code"] == 0, body
|
||
d = body["data"]
|
||
assert d["hairline_type"] == "custom"
|
||
assert base64.b64decode(d["hair_growth_image_base64"])[:8] == b"\x89PNG\r\n\x1a\n"
|
||
assert "best_hairline_image_base64" not in d # 已去掉该字段
|
||
assert "best_hairline_image_url" not in d
|
||
|
||
|
||
HLGEN = "/api/v1/hairline/generate"
|
||
|
||
|
||
def test_hairline_gen_missing_gender_1004(client):
|
||
files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
assert client.post(HLGEN, headers=H, files=files).json()["code"] == 1004
|
||
|
||
|
||
def test_hairline_gen_female(client):
|
||
files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
body = client.post(HLGEN, headers=H, files=files, data={"gender": "female"}).json()
|
||
assert body["code"] == 0, body
|
||
d = body["data"]
|
||
assert [x["order"] for x in d["hairline_images"]] == [1, 2, 3, 4, 5]
|
||
assert base64.b64decode(d["hairline_images"][0]["image_base64"])[:8] == b"\x89PNG\r\n\x1a\n"
|
||
c = d["best_hairline_center_point"]
|
||
assert 0 <= c["x"] <= 682 and 0 <= c["y"] <= 811 # 落在原图范围内
|
||
assert "image_url" not in d["hairline_images"][0]
|
||
|
||
|
||
FEATURES = "/api/v1/face/features"
|
||
|
||
|
||
def test_features_success(client, monkeypatch):
|
||
import face_features as ff
|
||
monkeypatch.setattr(ff, "analyze_features", lambda *a, **k: {
|
||
"图片是否有人脸": "有人", "脸型": "鹅蛋脸", "face_shape": "鹅蛋脸",
|
||
"gender": "女", "gene_style": "少女型"})
|
||
files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
body = client.post(FEATURES, headers=H, files=files).json()
|
||
assert body["code"] == 0, body
|
||
f = json.loads(body["data"]["features"]) # features 是 JSON 字符串
|
||
assert f["face_shape"] == "鹅蛋脸" and f["gender"] == "女"
|
||
|
||
|
||
def test_features_no_face_1001(client, monkeypatch):
|
||
import face_features as ff
|
||
monkeypatch.setattr(ff, "analyze_features", lambda *a, **k: {"图片是否有人脸": "没人"})
|
||
files = {"image_file": ("x.jpg", open(fixture("landscape.jpg"), "rb"), "application/octet-stream")}
|
||
assert client.post(FEATURES, headers=H, files=files).json()["code"] == 1001
|
||
|
||
|
||
def test_features_multi_param_1007(client):
|
||
files = {"image_file": ("frontal.jpg", open(fixture("frontal.jpg"), "rb"), "application/octet-stream")}
|
||
r = client.post(FEATURES, headers=H, files=files, data={"image_url": "http://x/y.jpg"})
|
||
assert r.json()["code"] == 1007
|
||
|
||
|
||
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"
|