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https://github.com/primedigitaltech/market-assistant.git
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a2523415d5
报告说明、docstring 与情感分析 LLM 提示中的「分桶/乱桶」等改为归类、关键词规则等通俗说法；JSON 字段名 sentiment_bucket_method 未改。 Made-with: Cursor
64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
"""
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与 ``jd_competitor_report._matrix_group_label_from_path`` 同源：
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从商详 ``detail_category_path`` 解析 §5 竞品矩阵用的类目展示名（如饼干、米）。
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"""
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from __future__ import annotations
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import re
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def category_token_meaningless(seg: str) -> bool:
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"""纯数字类目 ID、空串或疑似内部编码的段，不宜直接作为矩阵分组展示名。"""
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t = (seg or "").strip()
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if not t:
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return True
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if t.isdigit():
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return True
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if len(t) >= 14 and re.fullmatch(r"[A-Za-z0-9_\-]+", t):
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return True
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return False
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def matrix_display_segment_from_parts(parts: list[str]) -> str | None:
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"""
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与历史逻辑一致的主选段；若该段无意义则自右向左找第一段可读文本
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（避免「仅类目码」或中间段为数字 ID 时，把路径误解析成无意义的细类展示名）。
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"""
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if not parts:
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return None
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if len(parts) >= 4:
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preferred = parts[-2]
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elif len(parts) >= 3:
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preferred = parts[1]
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elif len(parts) >= 2:
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preferred = parts[1]
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else:
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preferred = parts[0]
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order: list[str] = []
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if preferred:
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order.append(preferred)
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if len(parts) >= 2:
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order.append(parts[-2])
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order.append(parts[-1])
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order.extend(reversed(parts))
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seen: set[str] = set()
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for cand in order:
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if not cand or cand in seen:
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continue
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seen.add(cand)
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if not category_token_meaningless(cand):
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return cand.strip()
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return None
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def matrix_group_label_from_detail_path(path: str) -> str:
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"""由 ``detail_category_path`` 文本解析细类展示名；空或无可读段则返回空串。"""
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t = (path or "").strip()
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if not t:
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return ""
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parts = [p.strip() for p in t.replace("＞", ">").split(">") if p.strip()]
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if not parts:
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return ""
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key = matrix_display_segment_from_parts(parts)
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return (key[:80] if key else "")
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