""" 市场策略 Markdown 草稿:**规则骨架**(占位 + 少量数据摘录),供业务与大模型成稿对齐。 - 决策在「策略生成」表单完成;未填项由大模型结合摘要与报告节选补全。 - 骨架刻意短、可执行;避免与成稿重复的「假设 / 待验证」套话。 """ from __future__ import annotations import math from typing import Any from .brief_concentration import ( concentration_first_share, concentration_top_three_share, ) def _esc(s: Any) -> str: t = "" if s is None else str(s).strip() return t.replace("\r\n", "\n").replace("\r", "\n") def _pct(x: Any) -> str: if x is None: return "—" try: v = float(x) if math.isnan(v) or math.isinf(v): return "—" return f"{100 * v:.1f}%" except (TypeError, ValueError): return "—" def _num(x: Any) -> str: if x is None: return "—" if isinstance(x, bool): return str(x) if isinstance(x, int): return str(x) if isinstance(x, float): if math.isnan(x) or math.isinf(x): return "—" if x == int(x): return str(int(x)) return f"{x:.2f}" return str(x) def _cr_narrative( label: str, cr1: Any, cr3: Any, top: Any, *, first_share_wording: tuple[str, str] | None = None, ) -> str | None: """从集中度生成一句策略向描述,无数据则返回 None(正文避免英文缩写)。 ``first_share_wording`` 为 ``(第一大句前缀, 前三大句前缀)`` 时覆盖默认措辞(用于矩阵收窄口径, 避免误写「列表行」)。 """ try: c1 = float(cr1) if cr1 is not None else None except (TypeError, ValueError): c1 = None if c1 is None and not (top or "").strip(): return None top_s = _esc(top) or "—" if first_share_wording is not None: w1, w3 = first_share_wording elif "店铺" in label: w1, w3 = "第一大店铺约占列表行的", "前三大店铺合计约占" elif "品牌" in label: w1, w3 = "第一大品牌约占", "前三大品牌合计约占" else: w1, w3 = "第一大主体约占", "前三大合计约占" if c1 is not None: if c1 >= 0.4: tone = "偏高,头部资源集中" elif c1 >= 0.25: tone = "中等,存在可争夺空间" else: tone = "相对分散,差异化切入点可能更多" return ( f"- **{label}**:{w1} **{_pct(cr1)}**,{w3} **{_pct(cr3)}**;" f"当前头部为「{top_s}」。*粗判:{tone}。*" ) return f"- **{label}**:头部为「{top_s}」(缺少占比时可结合列表与商详数据补全)。" def _shop_unique_sku_basis_lines(shops: dict[str, Any]) -> list[str]: """ ``shops_from_list.unique_sku_basis`` 与竞品报告/摘要一致:按去重 SKU 的店铺集中度对照口径。 """ usb = shops.get("unique_sku_basis") if isinstance(shops, dict) else None if not isinstance(usb, dict) or not usb.get("n_unique_skus"): return [] u1 = concentration_first_share(usb) u3 = concentration_top_three_share(usb) utop = _esc(usb.get("top_label") or "") if u1 is None or not utop: return [] return [ f"- **列表侧店铺(按去重 SKU)**:共 **{_num(usb.get('n_unique_skus'))}** 个去重 SKU;" f"第一大店铺「{utop}」约占 **{_pct(u1)}**;前三合计 **{_pct(u3)}**。" "*(与上行「按列表行」可能因同一 SKU 多行曝光而差异;非销量/市占。)*" ] def _goal_bullet(label: str, user_val: str, placeholder: str) -> str: v = _esc(user_val).strip() if v: return f"- **{label}**:{v}" return f"- **{label}**:*({placeholder})*" def _pillar_cell(user_val: str) -> str: v = _esc(user_val).strip() return v if v else "*待填*" def _pos_mark(choice: str, key: str) -> str: return "[x]" if choice == key else "[ ]" def _risk_line(checked: bool, text: str) -> str: mark = "[x]" if checked else "[ ]" return f"- {mark} {text}" def filter_strategy_hints_for_ch8_probe(hints: Any) -> list[str]: """ 当报告以 **第八章文本挖掘** 为主呈现评论侧时,规则引擎的 ``strategy_hints`` 中仍可能含 「关注词出现较多」「预设场景占比」类句子(与 §8 主口径冲突)。此处剔除,避免进入策略底稿与 LLM。 """ if not isinstance(hints, list): return [] out: list[str] = [] for h in hints: s = _esc(h) if h is not None else "" if not s.strip(): continue if "评价文本中「" in s and "等主题出现较多" in s: continue if "用途/场景中「" in s and "有效评价自述" in s: continue out.append(s) return out if out else [ "(与「关注词/预设场景条形图」相关的自动提示已省略;用户洞察请以报告 §8 文本挖掘及第五至第八章细类归纳为准;可执行策略以「策略制定」按细类生成为准。)" ] def report_uses_chapter8_text_mining_probe(report_config: dict[str, Any] | None) -> bool: """ 与任务 ``report_config`` 中 ``chapter8_text_mining_probe`` 一致;未显式设置时默认 ``True`` (与 ``jd.runner.get_default_report_config`` 一致)。 用于 §1.2 文案分支及对 ``strategy_hints`` 的过滤:开启探针时与子串命中枚举相关的自动线索会被压掉; 关闭时 §1.2 仍说明「简报不附带预设关注词/场景子串统计」,评论侧以报告第八章探针(若启用)与原文为准。 """ if not isinstance(report_config, dict): return True if "chapter8_text_mining_probe" in report_config: return bool(report_config.get("chapter8_text_mining_probe")) return True def build_strategy_draft_markdown( *, job_id: int, keyword: str, brief: dict[str, Any], business_notes: str = "", generated_at_iso: str = "", strategy_decisions: dict[str, Any] | None = None, report_config: dict[str, Any] | None = None, for_llm_input: bool = False, ) -> str: """生成可下载的 Markdown:与「六主轴 + 品牌四线」示例稿同构的规则骨架,附录为数据速览。 ``for_llm_input=True`` 时供大模型归纳用:弱化源码/路径/任务 ID 等痕迹,减少对外成稿误复述。 """ use_ch8_probe = report_uses_chapter8_text_mining_probe(report_config) d = strategy_decisions or {} pos = _esc(d.get("positioning_choice") or "").strip() kw = _esc(brief.get("keyword")) or _esc(keyword) or "—" batch = _esc(brief.get("batch_label")) or "—" if for_llm_input: lines: list[str] = [ f"# 「{kw}」", "", ] if generated_at_iso: lines.append( f"> **生成时间**:{_esc(generated_at_iso)}(归纳用,**勿写入对外成稿正文**)" ) lines.append("") else: lines = [ f"# 市场策略制定草稿 · 「{kw}」", "", "> **骨架说明**:本页为规则骨架;结构与 [`docs/demo`](docs/demo) 示例一致。**全局禁止编造**见 `generate_strategy.py` 中 `STRATEGY_DATA_RULES`。", "", ] if generated_at_iso: lines.append(f"> **生成时间**:{_esc(generated_at_iso)} · **任务 ID**:{job_id}") lines.append("") scope = brief.get("scope") or {} merged_n = scope.get("merged_sku_count") comm_n = scope.get("comment_flat_rows") pr_role = _esc(d.get("product_role") or "").strip() bf_line = _esc(d.get("battlefield_one_line") or "").strip() aud = _esc(d.get("audience_segment") or "").strip() th = _esc(d.get("time_horizon") or "").strip() sc = _esc(d.get("success_criteria") or "").strip() def _scope_cell(val: str, placeholder: str) -> str: return val if val else f"*({placeholder})*" scope_prelude = ( [ "*回答:**这份策略是针对什么、在什么边界里做的**——属「立项靶心」,不是执行摘要。表单已填则写成短句;未填保留占位,**勿**编造。*", "*业务侧在动策略稿之前,应先对齐本节;可选目标类型见 `docs/planning/策略生成-框架确定.md`「启动前:须先明确的项」。*", "", ] if not for_llm_input else [] ) _table_main_cat = ( "*(待填:如饼干线 / 面包线 / 多线并行;未定写「待业务定类」)*" if not for_llm_input else "*(待确认)*" ) _table_goal_type = ( "*(成稿从规划文档「目标类型选项」择一或组合,并与下列成功标准一致)*" if not for_llm_input else "*(待确认)*" ) _summary_user_side = ( "- **用户侧**:*(一两句结论即可:讨论焦点与负向主题;**按细类分句**归纳,**勿**混成「全站用户」一句;**勿**展开与报告重复的细类统计、词频。)*" if not for_llm_input else "- **用户侧**:—" ) _summary_stage = ( "- **阶段重点**:*(须含 1~2 条**可执行动作**,回扣 §2 优先痛点;**尽量点明适用类目/主推线**;勿仅写「加强运营」。)*" if not for_llm_input else "- **阶段重点**:—" ) lines.extend( [ "## 策略范围与前提(生成前先对齐)", "", *scope_prelude, "| 须明确项 | 填写或待确认 |", "|----------|----------------|", f"| **监测任务(数据同源)** | 关键词「{kw}」;批次 **{batch}**;与同任务《竞品分析报告》一致 |", f"| **策略服务对象(本品角色)** | {_scope_cell(pr_role, '待填:新品 / 追赶 / 防守 / 拓品类 …')} |", f"| **一句话战场** | {_scope_cell(bf_line, '在哪个需求场景、与谁抢同一批用户?')} |", f"| **目标客群/场景** | {_scope_cell(aud, '可选')} |", f"| **主推类目/细类** | {_table_main_cat} |", f"| **本阶段策略目标类型** | {_table_goal_type} |", f"| **时间范围** | {_scope_cell(th, '如本季度 / 未来 12 周')} |", f"| **成功标准(可量化)** | {_scope_cell(sc, '搜索位次、转化、复购等')} |", "", "---", "", "## 摘要", "", f"- **范围与样本**:监测词「{kw}」;批次 **{batch}**;" + ( f"深入 SKU ≈ {_num(merged_n)};评价条数 ≈ {_num(comm_n)}。" if merged_n is not None or comm_n is not None else "样本规模见附录。" ), _summary_user_side, _summary_stage, "", "## 一、顾客是谁", "", "### 1.1 人群与决策路径", "", f"- **检索与货架语境**:{kw};批次 {batch}。", ] ) bf = _esc(d.get("battlefield_one_line") or "").strip() if bf: lines.append(f"- **一句话战场**:{bf}") else: lines.append("- **一句话战场**:*(在哪个需求场景、与谁抢同一批用户?)*") lines.extend( [ ( "- **典型路径**:搜索 → 列表比价 → 商详与配料 → 评价 → 下单/复购。" if for_llm_input else "- **典型路径**:*(成稿:搜索 → 列表比价 → 详情与配料 → 评价 → 下单/复购。)*" ), "", *( [] if for_llm_input else [ "*成稿须与 §2 一致:写清「谁在什么任务下检索、决策」及**主攻类目/细类**(与 §2.1 类目列可对上),为后文「针对痛点怎么做」埋伏笔。*", "", ] ), "### 1.2 细类讨论焦点(评论文本分析)", "", ] ) if use_ch8_probe: if not for_llm_input: lines.extend( [ "*当前任务以**第八章评论侧文本挖掘**为主呈现时,此处**不**逐条罗列关注词子串命中次数。*", "", "- **饼干 / 糕点 / 面点等**:*(骨架占位;成稿**分细类**各一句归纳用户关心点,**勿**合并成模糊「全池」一句;**勿**复述 §8 词频与条数。)*", "", ] ) else: if not for_llm_input: lines.append( "*简报中**不再**附带预设关注词/场景子串统计;评论侧请依据同任务《竞品分析报告》**第八章第二节**(文本挖掘探针,若已启用)及抽样原文撰写本节。*" ) lines.append("") mix = brief.get("category_mix_top") or [] if mix: lines.append("### 类目结构(摘录)") lines.append("") for item in mix[:6]: if isinstance(item, dict): lines.append(f"- {_esc(item.get('label'))}:{_num(item.get('count'))}") lines.append("") lines.extend( [ ( "### 1.3 本品聚焦" if for_llm_input else "### 1.3 本品聚焦(占位)" ), "", *( [] if for_llm_input else [ "*成稿写清本期**主攻人群/场景/类目或主推细类**与 §2.1「类目/细类」列的对应关系。*", "", ] ), _goal_bullet("本品角色", str(d.get("product_role") or ""), "新品 / 追赶 / 防守 / 拓品类 …"), _goal_bullet( "目标客群", str(d.get("audience_segment") or ""), "为谁、什么场景(可选)", ), _goal_bullet( "主要对标", str(d.get("competitor_reference") or ""), "品牌或价位带参照(可选)", ), "", ] ) lines.extend( [ "## 二、产品价值与用户痛点", "", *( [] if for_llm_input else [ "*本节**仅**用下表写清**针对痛点要怎么做**(**类目** + 痛点简述 + 动作 + 落地 + 验证)。**不再**单设「痛点表 / 价值对表 / 负向归因」子节,避免与 §三、§八重复。*", "", "*「用户痛点(简述)」须与 `structured_brief` / 策略线索 / 报告节选**可核对**;**禁止**编造「用户反馈『……』」式引语,除非原句已出现在上述输入中。*", "", "*「类目/细类」列:写明本行决策**适用于哪一类**(如饼干/面包/全检索池);多细类须**分行**,**禁止**用一句「全站」覆盖彼此冲突的策略;类目未定可写「待业务定类」并附分类假设。*", "", ] ), "### 2.1 针对痛点要怎么做", "", "| 类目/细类(本决策适用) | 用户痛点(简述) | 策略动作 | 具体怎么做(触点/话术/规格/渠道) | 如何验证 |", "|--------------------------|------------------|----------|-----------------------------------|----------|", "| *(如:饼干线 / 西式糕点 / 全池仅当可解释)* | *(口感/分量/价格信任等)* | *(动词句)* | *(可执行)* | *(指标或抽样)* |", "| | | | | |", "", ] ) raw_hints = brief.get("strategy_hints") or [] hints = ( filter_strategy_hints_for_ch8_probe(raw_hints) if use_ch8_probe else (list(raw_hints) if isinstance(raw_hints, list) else []) ) if hints: lines.append( "**监测摘要自动线索**" if for_llm_input else "**摘要自动线索(`strategy_hints`)**" ) lines.append("") for h in hints: lines.append(f"- {_esc(h)}") lines.append("") pst = brief.get("price_stats") or {} lines.extend( [ "## 三、为什么要买「这款产品」", "", "### 3.1 为何要购买这一款(依据与理由)", "", ] ) raw = brief.get("pc_search_raw") or {} if raw.get("result_count_consensus") is not None: lines.append( f"- **检索结果量级(需求侧参考,非销售额)**:{_num(raw.get('result_count_consensus'))}(站内匹配条数量级)" if for_llm_input else f"- **检索结果量级(需求侧参考,非销售额)**:{_num(raw.get('result_count_consensus'))}(列表 resultCount)" ) elif merged_n is not None: lines.append(f"- **深入样本 SKU 数(监测范围)**:{_num(merged_n)}") else: lines.append( "- **检索与样本尺度**:—" if for_llm_input else "- **检索与样本尺度**:*(成稿结合摘要与监测范围。)*" ) lines.append("") if pst.get("n"): src = _esc(brief.get("price_stats_source")) or "—" src_disp = "本监测样本" if for_llm_input and src == "strategy_scope_matrix_group_skus" else src lines.extend( [ f"- **价带摘录(支撑购买理由与价位锚点)**:来源 {src_disp},n = {_num(pst.get('n'))};" f"区间 {_num(pst.get('min'))}~{_num(pst.get('max'))};中位数 {_num(pst.get('median'))}。", "", ] ) else: if for_llm_input: lines.append("- **价带摘录**:监测摘要中暂无统计表,可结合同任务报告补一句与购买理由相关的价位锚点。") else: lines.append( "*摘要中无价带统计,成稿可结合本批次价格数据在本节补一句价位锚点;**勿**重复 §2 已写的应对动作。*" ) lines.append("") lines.append( "- **购买理由**:用 1~2 句直接回答「为何要购买**这一款**」;上列为依据,须收束到可验证的产品点(规格/配料/口感/价位等,与输入可对读)。" "**禁止**以「品类需求稳、概念认知成熟、适合××叙事切入」等**仅适用于整个品类**的宏观句收尾,而不落到本品或主推规格。" if for_llm_input else "- **购买理由**:*(成稿:承接上列依据,1~2 句写清为何要购买这一款;承接 §2 优先痛点;多细类则分句;**勿**只写品类风口而不落到本品;价带/规格动作已在 §2 表内则此处**勿再展开一遍**。)*" ) lines.append("") lines.extend( [ "## 四、为什么要选「这个品牌」", "", ( "### 4.1 品牌承诺与调性" if for_llm_input else "### 4.1 品牌承诺与调性(占位)" ), "", *( [] if for_llm_input else [ "*成稿:承诺与调性须能落到**触点**(商详/包装/客服首句等)上的**具体句子**;**若**多类目话术不同,按 §2.1 类目**分句**,勿仅形容词。*", "", ] ), ( "- **一句话**:*(请写可落到商详/包装/客服等触点的承诺句)*" if for_llm_input else "- **一句话**:*(占位)*" ), ( "- **调性**:透明、可验证、合规控糖叙事。" if for_llm_input else "- **调性**:透明、可验证、合规控糖叙事(成稿可细化)。" ), "", "### 4.2 信任与证据", "", *( ["- *(评价、配料、可核验表述边界。)*", ""] if for_llm_input else ["- *(成稿:评价、配料、可核验表述边界。)*", ""] ), *( [] if for_llm_input else [ "*本节写**用户为何信任、为何愿意选这个品牌**(承诺、证据、合规边界);**价位阵地**(表单勾选的四类取向)见 **§8.2 定价策略**,勿混写。*", "", ] ), ] ) conc = brief.get("concentration") or {} shops = conc.get("shops_from_list") or {} dbrand = conc.get("detail_brand_among_merged") or {} scope_ap = brief.get("strategy_scope_applied") scoped_matrix = isinstance(scope_ap, dict) and bool(scope_ap.get("group")) gname_scoped = _esc(scope_ap.get("group")) if scoped_matrix else "" lines.extend( [ "## 五、与其它品牌有何不同", "", "### 5.1 对比对象(摘录)", "", ] ) if scoped_matrix: lines.append( "*本任务已按矩阵细类收窄:**下列店铺/品牌占比均按该分组内「深入合并 SKU」条数统计**," "与全关键词 **PC 搜索列表行** 集中度**不是同一口径**;亦非销量或市占。*" if not for_llm_input else "*集中度:按所选矩阵分组内合并 SKU 条数;非全站列表行。*" ) lines.append("") shop_label = ( f"店铺分布(「{gname_scoped}」内样本 SKU)" if scoped_matrix else "列表侧店铺集中度" ) brand_label = ( f"品牌分布(「{gname_scoped}」内样本 SKU)" if scoped_matrix else "深入样本内品牌集中度" ) scoped_wording: tuple[str, str] | None = ( ("第一大店铺约占该分组样本 SKU 的", "前三大店铺合计约占") if scoped_matrix else None ) scoped_brand_wording: tuple[str, str] | None = ( ("第一大品牌约占该分组样本 SKU 的", "前三大品牌合计约占") if scoped_matrix else None ) n_shop = _cr_narrative( shop_label, concentration_first_share(shops), concentration_top_three_share(shops), shops.get("top_label"), first_share_wording=scoped_wording, ) n_brand = _cr_narrative( brand_label, concentration_first_share(dbrand), concentration_top_three_share(dbrand), dbrand.get("top_label"), first_share_wording=scoped_brand_wording, ) if n_shop: lines.append(n_shop) for uline in _shop_unique_sku_basis_lines(shops): lines.append(uline) if n_brand: lines.append(n_brand) if not n_shop and not n_brand: lines.append( "- **竞争结构**:监测摘要未含集中度摘录。" if for_llm_input else "*本摘要未含集中度指标,请结合本批次竞争结构数据补全。*" ) lines.extend( [ "", *( [] if for_llm_input else [ "", "- **环境自测**:头部强势时是侧翼还是正面替代?格局分散时是否用细分场景切入?", ] ), "", ( "### 5.2 差异化方向" if for_llm_input else "### 5.2 差异化方向(占位)" ), "", *( [] if for_llm_input else [ "*成稿:相对竞品**多做什么/少做什么**,写**可执行的一步**;**若**差异因细类而异,**分类目**写(非空泛「更好」)。*", "", ] ), "| 差异点 | 说明 | 风险 |", "|--------|------|------|", ( "| | | |" if for_llm_input else "| | *待填* | |" ), "", ] ) lines.append("### 5.3 竞争应对") lines.append("") if not for_llm_input: lines.append( "*成稿:在表单倾向基础上,写清**跟价/不跟价时具体话术或机制**(一句即可)。*" ) lines.append("") stance = _esc(d.get("competitive_stance") or "").strip() stance_line = { "flank": "- **本品倾向**:侧翼切入,避免与头部正面硬碰。", "head_on": "- **本品倾向**:正面替代,对标头部主战场。", "both": "- **本品倾向**:分层推进(部分场景侧翼、部分场景正面)。", "undecided": ( "- **本品倾向**:*(待确认)*" if for_llm_input else "- **本品倾向**:*(表单未选;成稿时据数据写清倾向)*" ), }.get(stance) if stance_line: lines.append(stance_line) lines.append("") lines.extend( [ "## 六、阶段目标与路径", "", "### 6.1 本阶段定义", "", _goal_bullet("时间范围", str(d.get("time_horizon") or ""), "如:本季度 / 未来 12 周"), _goal_bullet( "成功标准(可量化)", str(d.get("success_criteria") or ""), "搜索位次、转化、复购等", ), _goal_bullet("非目标", str(d.get("non_goals") or ""), "明确不做什么(可选)"), "", "### 6.2 路径", "", *( [] if for_llm_input else [ "*成稿:路径须与 **§2.1 针对痛点要怎么做** 可对齐;营销/总体策略为**动词句**,回扣痛点;**多类目并行**时**分线**写目标或写清主线/副线。*", "", ] ), _goal_bullet( "营销策略", str(d.get("marketing_strategy") or ""), "传播、活动、投放、内容主线(可选)", ), _goal_bullet( "总体策略", str(d.get("general_strategy") or ""), "增长/品类/经营总原则(可选)", ), _goal_bullet( "资源与预算备注", str(d.get("resource_notes") or ""), "人力、投放、产能等(可选)", ), "", ] ) pp = str(d.get("pillar_product") or "") pr = str(d.get("pillar_price") or "") pch = str(d.get("pillar_channel") or "") pcm = str(d.get("pillar_comm") or "") lines.extend( [ "## 七、品牌四线:建设 · 打造 · 运营 · 体验", "", *( [] if for_llm_input else [ "*(与表单「4P 策略支柱」对应:产品 / 定价 / 渠道 / 传播。)*", "*成稿:**每条线**至少一句——服务哪类痛点、本阶段**具体做哪一步**;**尽量**与 §2.1「类目/细类」可对上,多类目则**分句**(勿四条同一泛化句)。*", "", ] ), "### 7.1 品牌建设", "", f"- {_pillar_cell(pp)}", "", "### 7.2 品牌打造", "", f"- {_pillar_cell(pr)}", "", "### 7.3 品牌运营", "", f"- {_pillar_cell(pch)}", "", "### 7.4 品牌体验", "", f"- {_pillar_cell(pcm)}", "", ] ) if use_ch8_probe and not for_llm_input: pst_sig = brief.get("price_promotion_signals") or {} has_promo = isinstance(pst_sig, dict) and bool(pst_sig) promo_hint = "*促销与活动线索:须与摘要 `price_promotion_signals` 及第六章/第九章已有归纳一致;无则勿编造具体满减门槛。*" lines.extend( [ "", promo_hint if has_promo else "*促销与价差:若摘要或价格信号有归纳则承接;无则勿编造。*", "", ] ) lines.extend( [ "## 八、战术支柱", "", *( [] if for_llm_input else [ "*成稿:四支柱分别回扣 **痛点→动作→落地**(可与 §2.1 呼应,避免纯重复);**若**产品/定价/促销因类目策略不同,**分细类**写子条,勿一条盖全站。*", "", ] ), "### 8.1 产品策略", "", f"- *(表单产品支柱:{_pillar_cell(pp)})*", "", "### 8.2 定价策略", "", "**价位阵地取向(表单勾选;与监测价带可对读)**", "", f"- {_pos_mark(pos, 'top')} **贴顶**:中高位或头部价位带。", f"- {_pos_mark(pos, 'mid')} **卡腰**:围绕中位数一带。", f"- {_pos_mark(pos, 'entry')} **下探**:贴近区间下限。", f"- {_pos_mark(pos, 'different')} **另起带**:规格/组合/服务差异化。", "", f"- *(表单价格支柱:{_pillar_cell(pr)})*", "", "### 8.3 促销与活动策略", "", *( [] if for_llm_input else [ "*须写促销**原则**(券/到手价/跟价节奏);**满减、满折、跨店**等:能引用的写清来源;监测未捕获具体门槛时写「待与运营/后台对齐」,**勿**整节留空,**勿**编造门槛数字。*", "*与 `price_promotion_signals`、报告第六章一致;勿虚构活动。*", "", ] ), "### 8.4 渠道与传播", "", f"- *(渠道/传播:{_pillar_cell(pch)} / {_pillar_cell(pcm)})*", "", ] ) rk = bool(d.get("ack_risk_keywords")) rp = bool(d.get("ack_risk_price")) rc = bool(d.get("ack_risk_concentration")) rk_kw = "评论侧归纳是否以偏概全?(需原评论抽样)" lines.extend( [ "## 九、风险、假设与待验证", "", _risk_line(rk, rk_kw), _risk_line(rp, "价格带是否含大促/异常挂价?(需核对清洗规则)"), _risk_line(rc, "列表集中度与深入样本品牌是否不一致?(需解释渠道差异)"), "", *( [] if for_llm_input else [ "*成稿:每条风险尽量带**应对动作或验证计划**(抽样、核对规则),勿只列标题。*", "", "*业务备注见下节。*", "", ] ), "## 十、下一步与节奏", "", *( [] if for_llm_input else [ "*成稿:下列为**可执行任务**(可补负责人/时间);与 §2.1 / §六 优先级一致;可含「按类目核对主图/商详与 §2.1 表」类项。*", "", ] ), "- [ ] 锁定主推款与对标;过法务与合规。", "- [ ] 统一对外数据口径与话术。", "- [ ] 下轮监测更新后迭代策略。", "", ] ) notes = _esc(business_notes) lines.extend( [ "### 业务约束与备注", "", (notes if notes else "*(未填写业务备注。)*"), "", "---", "", "## 附录:本任务关键数据一览", "", f"- **关键词**:{kw} · **批次**:{batch} · **摘要版本**:v{_num(brief.get('schema_version'))}", ] ) meta = brief.get("meta") meta_labels = { "page_start": "起始页", "page_to": "采集至页", "max_skus_config": "SKU 上限", "scenario_filter_enabled": "场景筛选", } if isinstance(meta, dict) and meta: if for_llm_input: bits_llm: list[str] = [] ps, pt = meta.get("page_start"), meta.get("page_to") if ps is not None and pt is not None: bits_llm.append(f"列表页约第 {_esc(ps)}~{_esc(pt)} 页") elif ps is not None: bits_llm.append(f"列表自第 {_esc(ps)} 页起采集") if meta.get("max_skus_config") is not None: bits_llm.append(f"深入样本上限约 {_num(meta.get('max_skus_config'))} 个 SKU") if meta.get("scenario_filter_enabled"): bits_llm.append("已启用场景筛选") if bits_llm: lines.append(f"- **采集范围**:{';'.join(bits_llm)}") else: bits = [] for k in ("page_start", "page_to", "max_skus_config", "scenario_filter_enabled"): if k in meta: label = meta_labels.get(k, k) bits.append(f"{label}={_esc(meta.get(k))}") if bits: lines.append(f"- **采集参数快照**:{'; '.join(bits)}") raw = brief.get("pc_search_raw") or {} if raw.get("result_count_consensus") is not None: lines.append( f"- **平台申报检索规模**:{_num(raw.get('result_count_consensus'))}" if for_llm_input else f"- **列表申报规模(resultCount)**:{_num(raw.get('result_count_consensus'))}" ) if for_llm_input: lines.extend( [ "", "*可与同任务《竞品分析报告》及本批次数据表对照核验。*", "", "---", "", ] ) else: lines.extend( [ "", "*同目录含本批次 CSV 与分析产出,可对照使用。*", "", "---", "", "*本稿由工作台「市场策略制定」生成;与同任务结构化分析数据一致。*", "", ] ) return "\n".join(lines)