style: auto-format with black + isort + ruff + prettier [skip ci-format-check]

2026-10-04 16:57:02 +00:00
parent 5482efa045
commit b21e8e1659
1 changed files with 56 additions and 11 deletions
@@ -458,19 +458,54 @@ def _analyze_single_image(
                            _pf = (_ppn.get("attrs") or {}).get("features", "") or ""
                            _ptxt = _pn + " " + _pf
                            # 服装关键词识别（常见上装/下装/裙装/套装）
-                            _cloth_kws = ["衬衫","T恤","毛衣","针织衫","卫衣","外套","西装","夹克","风衣",
-                                          "大衣","羽绒服","马甲","背心","连衣裙","半身裙","短裙","长裙",
-                                          "牛仔裤","休闲裤","西裤","运动裤","短裤","旗袍","汉服","制服",
-                                          "polo衫","POLO衫","针织","毛衫","开衫","帽衫","皮夹克","皮衣"]
+                            _cloth_kws = [
+                                "衬衫",
+                                "T恤",
+                                "毛衣",
+                                "针织衫",
+                                "卫衣",
+                                "外套",
+                                "西装",
+                                "夹克",
+                                "风衣",
+                                "大衣",
+                                "羽绒服",
+                                "马甲",
+                                "背心",
+                                "连衣裙",
+                                "半身裙",
+                                "短裙",
+                                "长裙",
+                                "牛仔裤",
+                                "休闲裤",
+                                "西裤",
+                                "运动裤",
+                                "短裤",
+                                "旗袍",
+                                "汉服",
+                                "制服",
+                                "polo衫",
+                                "POLO衫",
+                                "针织",
+                                "毛衫",
+                                "开衫",
+                                "帽衫",
+                                "皮夹克",
+                                "皮衣",
+                            ]
                            for _ckw in _cloth_kws:
                                if _ckw in _ptxt:
                                    # 提取含关键词的短语（关键词前后4字）
                                    _ci = _ptxt.find(_ckw)
-                                    _start = max(0, _ci-6)
-                                    _end = min(len(_ptxt), _ci+len(_ckw)+2)
+                                    _start = max(0, _ci - 6)
+                                    _end = min(len(_ptxt), _ci + len(_ckw) + 2)
                                    _outfit_extract = _ptxt[_start:_end].strip(" ,，。.、")
                                    # 清理掉品牌名/产品名词的干扰（只取服装描述部分）
-                                    _outfit_extract = re.sub(r"^[\w一-龥]{0,2}(牌|品牌|的|款|女|男|新|装|大|小|长|短|厚|薄)", "", _outfit_extract)
+                                    _outfit_extract = re.sub(
+                                        r"^[\w一-龥]{0,2}(牌|品牌|的|款|女|男|新|装|大|小|长|短|厚|薄)",
+                                        "",
+                                        _outfit_extract,
+                                    )
                                    if len(_outfit_extract) >= 2:
                                        _outfit = _outfit_extract
                                        break
@@ -480,14 +515,24 @@ def _analyze_single_image(
                    if _hair in ("自然发型", "无法判断"):
                        _hair_color = ""
                        _color_nodes = [n for n in nodes if n["tag"] == "color"]
-                        _hair_kws_map = {"黑":"黑色","棕":"棕色","金":"金色","栗":"栗色","红":"红色",
-                                         "白":"白色","灰":"灰色","蓝":"蓝色","黄":"黄色","紫":"紫色"}
+                        _hair_kws_map = {
+                            "黑": "黑色",
+                            "棕": "棕色",
+                            "金": "金色",
+                            "栗": "栗色",
+                            "红": "红色",
+                            "白": "白色",
+                            "灰": "灰色",
+                            "蓝": "蓝色",
+                            "黄": "黄色",
+                            "紫": "紫色",
+                        }
                        for _cn in _color_nodes:
-                            _cname = (_cn.get("attrs") or {}).get("name","") or ""
+                            _cname = (_cn.get("attrs") or {}).get("name", "") or ""
                            # 小占比颜色更可能是发色（非主色的小面积色），且名称含头发/黑/棕/金等
                            _ccov = 0.0
                            try:
-                                _ccov = float((_cn.get("attrs") or {}).get("coverage","0") or 0)
+                                _ccov = float((_cn.get("attrs") or {}).get("coverage", "0") or 0)
                            except Exception:
                                pass
                            for _hk, _hv in _hair_kws_map.items():