mirror of
https://github.com/primedigitaltech/market-assistant.git
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614d631261
补充策略决策键、fixture 与相关单测；分析/营销包本地存储与任务状态；竞品简报 schema 与 LLM 章节生成、促销与导出调整；并纳入 Cursor 工程规则 user-dev-style。 Made-with: Cursor
102 lines
3.6 KiB
Python
102 lines
3.6 KiB
Python
"""CSV 表头键、运行默认调参与关注词/场景配置（与 ``pipeline.competitor_report.jd_report`` 顶层一致）。"""
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from __future__ import annotations
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from pipeline.csv.schema import (
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COMMENT_CSV_COLUMNS,
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JD_SEARCH_CSV_HEADERS,
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MERGED_FIELD_TO_CSV_HEADER,
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)
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_JD_LIST_PRICE_KEY = JD_SEARCH_CSV_HEADERS["price"]
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_COUPON_SHOW_PRICE_KEY = JD_SEARCH_CSV_HEADERS["coupon_price"]
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_ORIGINAL_LIST_PRICE_KEY = JD_SEARCH_CSV_HEADERS["original_price"]
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_SELLING_POINT_KEY = JD_SEARCH_CSV_HEADERS["selling_point"]
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_RANK_TAGLINE_KEY = JD_SEARCH_CSV_HEADERS["hot_list_rank"]
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# 历史批次 CSV 表头（括号英文）；新批次为纯中文，读取时新键优先
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_LEGACY_JD_LIST_PRICE_KEY = "标价(jdPrice,jdPriceText,realPrice)"
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_LEGACY_COUPON_SHOW_PRICE_KEY = (
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"券后到手价(couponPrice,subsidyPrice,finalPrice.estimatedPrice,priceShow)"
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)
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_LEGACY_SHOP_NAME_KEY = "店铺名(shopName)"
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_LEGACY_RANK_TAGLINE_KEY = "榜单类文案(标签/腰带/标题数组中的榜、TOP 等)"
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_LEGACY_COMMENT_FUZZ_KEY = "评价量(commentFuzzy)"
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_LEGACY_SELLING_POINT_KEY = "卖点(sellingPoint)"
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_LIST_BRAND_TITLE_HEADER = "店铺信息标题"
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_LEGACY_LIST_BRAND_TITLE_KEY = "店铺信息标题(shopInfoTitle,brandName)"
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_DETAIL_PRICE_FINAL_CSV_KEYS: tuple[str, ...] = (
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MERGED_FIELD_TO_CSV_HEADER["detail_price_final"],
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"detail_price_final",
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)
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_LIST_PRICE_AND_COUPON_KEYS: tuple[str, ...] = (
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*_DETAIL_PRICE_FINAL_CSV_KEYS,
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_JD_LIST_PRICE_KEY,
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_LEGACY_JD_LIST_PRICE_KEY,
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_COUPON_SHOW_PRICE_KEY,
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_LEGACY_COUPON_SHOW_PRICE_KEY,
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)
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# 报告摘录「标价」：列表标价优先，缺省时用商详到手价列兜底
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_LIST_SHOW_PRICE_CELL_KEYS: tuple[str, ...] = (
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_JD_LIST_PRICE_KEY,
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_LEGACY_JD_LIST_PRICE_KEY,
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MERGED_FIELD_TO_CSV_HEADER["detail_price_final"],
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"detail_price_final",
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)
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_MERGED_SHOP_CELL_KEYS: tuple[str, ...] = (
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MERGED_FIELD_TO_CSV_HEADER["detail_shop_name"],
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"detail_shop_name",
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JD_SEARCH_CSV_HEADERS["shop_name"],
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_LEGACY_SHOP_NAME_KEY,
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)
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_COMMENT_FUZZ_KEYS: tuple[str, ...] = (
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MERGED_FIELD_TO_CSV_HEADER["comment_fuzzy"],
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_LEGACY_COMMENT_FUZZ_KEY,
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)
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_COMMENT_CSV_SKU = COMMENT_CSV_COLUMNS[0]
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_COMMENT_CSV_BODY = COMMENT_CSV_COLUMNS[3]
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_COMMENT_CSV_SCORE = COMMENT_CSV_COLUMNS[7] # 「评分」→ commentScore
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# 评价星级分桶（comment_sentiment 模块）：仍用于可选的情感 LLM 载荷；报告正文与 brief 已不再输出同口径图
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_COMMENT_SCORE_NEG_MAX = 2 # 1～2 星 → 偏负向
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_COMMENT_SCORE_POS_MIN = 4 # 4～5 星 → 偏正向（3 星为中评，归入中性）
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_DETAIL_CATEGORY_PATH_KEY = MERGED_FIELD_TO_CSV_HEADER["detail_category_path"]
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_K_CAT_COL = JD_SEARCH_CSV_HEADERS["leaf_category"]
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_K_PROP_COL = JD_SEARCH_CSV_HEADERS["attributes"]
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EXTERNAL_MARKET_TABLE_ROWS: tuple[tuple[str, str, str, str], ...] = ()
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__all__ = [
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"_COMMENT_CSV_BODY",
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"_COMMENT_CSV_SCORE",
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"_COMMENT_CSV_SKU",
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"EXTERNAL_MARKET_TABLE_ROWS",
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"_COMMENT_FUZZ_KEYS",
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"_COMMENT_SCORE_NEG_MAX",
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"_COMMENT_SCORE_POS_MIN",
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"_COUPON_SHOW_PRICE_KEY",
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"_DETAIL_CATEGORY_PATH_KEY",
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"_DETAIL_PRICE_FINAL_CSV_KEYS",
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"_JD_LIST_PRICE_KEY",
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"_K_CAT_COL",
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"_K_PROP_COL",
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"_LEGACY_COUPON_SHOW_PRICE_KEY",
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"_LEGACY_JD_LIST_PRICE_KEY",
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"_LEGACY_LIST_BRAND_TITLE_KEY",
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"_LEGACY_RANK_TAGLINE_KEY",
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"_LEGACY_SELLING_POINT_KEY",
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"_LEGACY_SHOP_NAME_KEY",
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"_LIST_BRAND_TITLE_HEADER",
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"_LIST_PRICE_AND_COUPON_KEYS",
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"_LIST_SHOW_PRICE_CELL_KEYS",
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"_MERGED_SHOP_CELL_KEYS",
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"_ORIGINAL_LIST_PRICE_KEY",
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"_RANK_TAGLINE_KEY",
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"_SELLING_POINT_KEY",
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]
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