去除上传图片的分辨率与文件大小限制

- app.py: 删除全部 MAX_FILE_BYTES(≤1MB→1006) 与 MIN_SHORT_SIDE/MIN_LONG_SIDE
  (分辨率→1002) 校验及对应常量; 同步清理 File 描述、图片要求说明、
  错误码表(移除1002/1006)与过时示例
- gateway/app.py: 删除注释掉的 1006 大小校验块与描述里的 ≤1MB
- run_worker.sh / hair-worker.service: 删除临时放开限制的环境变量
- tests: 移除已过时的 test_oversize_1006 / test_lowres_1002 及 oversize_file fixture

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

app.py

@@ -30,14 +30,6 @@ logger = logging.getLogger("hair.worker")
 BASE_URL = "https://hair.xiangsilian.com"
 SAMPLE_IMAGE_URL = f"{BASE_URL}/static/sample.jpg"
 
-# 分辨率门槛（短边/长边，方向无关），可由环境变量覆盖（技术方案 §8.3）
-MIN_SHORT_SIDE = int(os.getenv("MIN_SHORT_SIDE", "600"))
-MIN_LONG_SIDE = int(os.getenv("MIN_LONG_SIDE", "800"))
-# 文件大小上限（字节），可由环境变量覆盖；设为 0 表示不限制
-MAX_FILE_BYTES = int(os.getenv("MAX_FILE_BYTES", "1000000"))  # 默认 1 MB
-if MAX_FILE_BYTES <= 0:
-    MAX_FILE_BYTES = float("inf")
-
 # 运行期状态：模型就绪标志（/health 据此返回 200/503）
 _STATE = {"ready": False}
 
@@ -103,7 +95,7 @@ app = FastAPI(
 
 | 方式 | 字段名 | 说明 |
 |------|--------|------|
-| 文件上传 | `image_file` | `multipart/form-data`，单文件 ≤ 1 MB |
+| 文件上传 | `image_file` | `multipart/form-data`，单文件上传 |
 | URL | `image_url` | 图片的完整 HTTP/HTTPS 地址 |
 | base64 | `image_base64` | 需携带前缀，如 `data:image/jpeg;base64,xxxx` |
 
@@ -112,9 +104,9 @@ app = FastAPI(
 ## 图片要求
 
 - 格式：**JPG / PNG**
-- 分辨率：最低 1080×1920，最大 4000×5000
+- 分辨率：不限制
 - 人脸数量：仅支持**单人**，多人返回错误码 `1005`
-- 文件大小：≤ 1 MB（文件上传方式）
+- 文件大小：不限制
 
 ## 统一响应结构
 
@@ -134,11 +126,9 @@ app = FastAPI(
 | code | 说明 |
 |------|------|
 | 1001 | 无法识别人像 |
-| 1002 | 人像分辨率过低 |
 | 1003 | 非正面照 / 角度过大 |
 | 1004 | 性别标签无法判定 |
 | 1005 | 检测到多张人脸（仅支持单人）|
-| 1006 | 文件超出 1 MB 限制 |
 | 1007 | 图片参数错误（未传或同时传多个）|
 | 1008 | 图片格式不支持（仅 JPG / PNG）|
 """,
@@ -202,7 +192,7 @@ async def resolve_image_bytes(image_file, image_url, image_base64):
     """三选一取图，返回 (raw_bytes, error_response)。
 
     严格互斥：传 0 个或多个 → 1007；URL 下载失败/base64 解码失败 → 1008。
-    大小校验放到上层（统一 1006），此处只负责取到字节。
+    不限制文件大小，此处只负责取到字节。
     """
     provided = [x for x in (image_file, image_url, image_base64) if x]
     if len(provided) != 1:
@@ -280,7 +270,7 @@ def _parse_hair_styles(raw: Optional[str], max_styles: int) -> Optional[list[int
 
 _image_fields_desc = (
     "图片传参方式严格互斥，必须且只能选其一：\n"
-    "- **image_file**（multipart/form-data 上传，≤ 1 MB）\n"
+    "- **image_file**（multipart/form-data 上传）\n"
     "- **image_url**（完整 HTTP/HTTPS 地址）\n"
     "- **image_base64**（需携带前缀，如 `data:image/jpeg;base64,xxxx`）\n\n"
     "同时传多个或一个都不传，均返回错误码 `1007`。"
@@ -331,20 +321,12 @@ async def _face_measure_impl(image_file, image_url, image_base64, variant="v1"):
     if e is not None:
         return None, e
 
-    # 2. 大小校验（≤ 1MB）
-    if len(raw) > MAX_FILE_BYTES:
-        return None, err(1006, "文件超出 1 MB 限制")
-
-    # 3. 解码
+    # 2. 解码（不限制文件大小 / 分辨率）
     image = cv2.imdecode(np.frombuffer(raw, np.uint8), cv2.IMREAD_COLOR)
     if image is None:
         return None, err(1008, "图片格式不支持（仅 JPG / PNG）")
 
-    # 4. 分辨率（短边/长边，方向无关，可配置门槛）
     h, w = image.shape[:2]
-    short_side, long_side = min(w, h), max(w, h)
-    if short_side < MIN_SHORT_SIDE or long_side < MIN_LONG_SIDE:
-        return None, err(1002, "人像分辨率过低")
 
     try:
         from face_analysis.detector import detector
@@ -488,7 +470,7 @@ async def _face_measure_impl(image_file, image_url, image_base64, variant="v1"):
     },
 )
 async def face_measure(
-    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG，≤ 1 MB）"),
+    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG）"),
     image_url: Optional[str] = Form(default=None, description="图片 URL"),
     image_base64: Optional[str] = Form(default=None, description="图片 base64（需带 data:image/...;base64, 前缀）"),
 ):
@@ -587,7 +569,7 @@ async def face_measure(
     },
 )
 async def face_measure_v2(
-    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG，≤ 1 MB）"),
+    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG）"),
     image_url: Optional[str] = Form(default=None, description="图片 URL"),
     image_base64: Optional[str] = Form(default=None, description="图片 base64（需带 data:image/...;base64, 前缀）"),
 ):
@@ -660,7 +642,7 @@ async def face_measure_v2(
     },
 )
 async def hair_grow(
-    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG，≤ 1 MB）"),
+    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG）"),
     image_url: Optional[str] = Form(default=None, description="图片 URL"),
     image_base64: Optional[str] = Form(default=None, description="图片 base64（需带 data:image/...;base64, 前缀）"),
     gender: Optional[str] = Form(default=None, description="性别 male/female（必填）"),
@@ -683,18 +665,11 @@ async def hair_grow(
     raw, e = await resolve_image_bytes(image_file, image_url, image_base64)
     if e is not None:
         return e
-    if len(raw) > MAX_FILE_BYTES:
-        return err(1006, "文件超出 1 MB 限制")
 
     image = cv2.imdecode(np.frombuffer(raw, np.uint8), cv2.IMREAD_COLOR)
     if image is None:
         return err(1008, "图片格式不支持（仅 JPG / PNG）")
 
-    h, w = image.shape[:2]
-    short_side, long_side = min(w, h), max(w, h)
-    if short_side < MIN_SHORT_SIDE or long_side < MIN_LONG_SIDE:
-        return err(1002, "人像分辨率过低")
-
     try:
         from fastapi.concurrency import run_in_threadpool
         from hairline.service import generate_grow_results
@@ -781,7 +756,7 @@ _WORKFLOW2_PATH = os.path.join(os.path.dirname(__file__), "add_hair2.json")
     },
 )
 async def hair_grow_v2(
-    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG，≤ 1 MB）"),
+    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG）"),
     image_url: Optional[str] = Form(default=None, description="图片 URL"),
     image_base64: Optional[str] = Form(default=None, description="图片 base64（需带 data:image/...;base64, 前缀）"),
     gender: Optional[str] = Form(default=None, description="性别 male/female（必填）"),
@@ -804,18 +779,11 @@ async def hair_grow_v2(
     raw, e = await resolve_image_bytes(image_file, image_url, image_base64)
     if e is not None:
         return e
-    if len(raw) > MAX_FILE_BYTES:
-        return err(1006, "文件超出 1 MB 限制")
 
     image = cv2.imdecode(np.frombuffer(raw, np.uint8), cv2.IMREAD_COLOR)
     if image is None:
         return err(1008, "图片格式不支持（仅 JPG / PNG）")
 
-    h, w = image.shape[:2]
-    short_side, long_side = min(w, h), max(w, h)
-    if short_side < MIN_SHORT_SIDE or long_side < MIN_LONG_SIDE:
-        return err(1002, "人像分辨率过低")
-
     try:
         from fastapi.concurrency import run_in_threadpool
         from hairline.service import generate_grow_results
@@ -883,7 +851,7 @@ async def hair_grow_v2(
     },
 )
 async def hair_grow_b(
-    marked_image_file: Optional[UploadFile] = File(default=None, description="划线图片文件（JPG/PNG，≤ 1 MB）"),
+    marked_image_file: Optional[UploadFile] = File(default=None, description="划线图片文件（JPG/PNG）"),
     marked_image_url: Optional[str] = Form(default=None, description="划线图片 URL"),
     marked_image_base64: Optional[str] = Form(default=None, description="划线图片 base64"),
     use_mask: bool = Form(default=True, description="是否画发际线（测试对比用）。false 时跳过划线检测、直接送划线图"),
@@ -893,18 +861,11 @@ async def hair_grow_b(
     marked_raw, e = await resolve_image_bytes(marked_image_file, marked_image_url, marked_image_base64)
     if e is not None:
         return e
-    if len(marked_raw) > MAX_FILE_BYTES:
-        return err(1006, "文件超出 1 MB 限制")
 
     marked = cv2.imdecode(np.frombuffer(marked_raw, np.uint8), cv2.IMREAD_COLOR)
     if marked is None:
         return err(1008, "图片格式不支持（仅 JPG / PNG）")
 
-    h, w = marked.shape[:2]
-    short_side, long_side = min(w, h), max(w, h)
-    if short_side < MIN_SHORT_SIDE or long_side < MIN_LONG_SIDE:
-        return err(1002, "人像分辨率过低")
-
     try:
         from fastapi.concurrency import run_in_threadpool
         from hairline.service import generate_grow_b
@@ -985,7 +946,7 @@ async def hair_grow_b(
     },
 )
 async def face_features(
-    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG，≤ 1 MB）"),
+    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG）"),
     image_url: Optional[str] = Form(default=None, description="图片 URL"),
     image_base64: Optional[str] = Form(default=None, description="图片 base64（需带 data:image/...;base64, 前缀）"),
 ):
@@ -1052,14 +1013,14 @@ async def face_features(
             "description": "参数错误 / 图片识别失败",
             "content": {
                 "application/json": {
-                    "example": {"code": 1002, "message": "人像分辨率过低", "request_id": "x", "data": None}
+                    "example": {"code": 1001, "message": "无法识别人像", "request_id": "x", "data": None}
                 }
             },
         },
     },
 )
 async def hairline_generate(
-    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG，≤ 1 MB）"),
+    image_file: Optional[UploadFile] = File(default=None, description="上传图片文件（JPG/PNG）"),
     image_url: Optional[str] = Form(default=None, description="图片 URL"),
     image_base64: Optional[str] = Form(default=None, description="图片 base64（需带 data:image/...;base64, 前缀）"),
     gender: Optional[str] = Form(default=None, description="性别 male/female（必填）"),
@@ -1070,18 +1031,11 @@ async def hairline_generate(
     raw, e = await resolve_image_bytes(image_file, image_url, image_base64)
     if e is not None:
         return e
-    if len(raw) > MAX_FILE_BYTES:
-        return err(1006, "文件超出 1 MB 限制")
 
     image = cv2.imdecode(np.frombuffer(raw, np.uint8), cv2.IMREAD_COLOR)
     if image is None:
         return err(1008, "图片格式不支持（仅 JPG / PNG）")
 
-    h, w = image.shape[:2]
-    short_side, long_side = min(w, h), max(w, h)
-    if short_side < MIN_SHORT_SIDE or long_side < MIN_LONG_SIDE:
-        return err(1002, "人像分辨率过低")
-
     try:
         from fastapi.concurrency import run_in_threadpool
         from hairline.service import generate_hairline_pngs