kangshifu-board/legacy/tools/seed_report.py

"""seed_report.py —— 给一条成果写入一份完整的示例报告（康师傅拌面 · 按江中猴菇饮骨架）。

报告存在 KfArtifact.report（结构化 JSON），看板 js/views/report.js 负责渲染。
本脚本可重复执行：每次覆盖同一条成果的 report 字段，不改动其他人的数据。

  python3 tools/seed_report.py            # 写入（需要 PARSE_MASTER_KEY）
  python3 tools/seed_report.py --dry-run  # 只打印摘要，不写库

结构（六章对应五个阶段，见 README「报告数据结构」）：
  cover 封面 → chapters[ch1..ch6]（每章 lead + 若干 section）+ evidence 证据链
  evidence[conclusionId] = { claim, ownerCount, quotes[{artId, author, text, ref}], derivedFrom }
  derivedFrom 引用现存 KfArtifact 的 objectId：结论旁点「证据链」能看到是哪几条成果撑起来的。
  看板会把结论挂到它引用的成果上：在列表里点开那些成果，能看到「支撑了哪条结论」。

字段一律是数据，不是 HTML：渲染端负责排版与转义，避免把一段 HTML 塞进库里。
中文正文里的引用一律用「」，避免和外层字符串引号打架。
"""
import json
import os
import sys
import urllib.error
import urllib.request

BASE = "https://kangshifu.fmode.cn/parse"
APP_ID = "FKieRbIoGt_main"
MK = os.environ.get("PARSE_MASTER_KEY", "")
DRY = "--dry-run" in sys.argv
H = {"X-Parse-Application-Id": APP_ID, "Content-Type": "application/json"}
if MK:
    H["X-Parse-Master-Key"] = MK

# 选哪条成果承载示例报告：张伟 S1 的品类竞品报告（已有 project / ownerSession 出身）
TARGET_TITLE_KEYWORD = "夜宵场景低卡高蛋白拌面 - competitor_report"


def call(method, path, body=None):
    data = json.dumps(body, ensure_ascii=False).encode() if body is not None else None
    req = urllib.request.Request(BASE + path, data=data, headers=H, method=method)
    with urllib.request.urlopen(req, timeout=30) as r:
        return json.loads(r.read().decode() or "{}")


def fetch(cls):
    return call("GET", f"/classes/{cls}?limit=1000&order=createdAt").get("results", [])


def q(art_id, author, text, ref, likes=None):
    o = {"artId": art_id, "author": author, "text": text, "ref": ref}
    if likes is not None:
        o["likes"] = likes
    return o


def build(ids):
    """ids: 把示例报告里用到的结论挂到真实成果 objectId 上（缺失为 None，看板显示「证据未接入」）。"""
    E = {
        "c-texture": {
            "claim": "「太软没嚼劲」是拌面复购的第一杀手，且被不同成员独立提到",
            "ownerCount": 4,
            "derivedFrom": [ids.get("zw_pain"), ids.get("ln_pain"), ids.get("wf_opp")],
            "quotes": [
                q(ids.get("zw_pain"), "夜宵党_312", "泡完就坨，没有一碗速食拌面该有的嚼劲，第二次就不会买了", "抖音评论", 412),
                q(ids.get("ln_pain"), "上班族_077", "面饼太软，拌酱以后像糊糊，想要那种手擀面的筋道", "小红书笔记", 238),
                q(ids.get("wf_opp"), "学生党_156", "宿舍没有锅，只能泡，泡出来的口感比煮的差一截", "B站评论", 96),
                q(None, "口味控_044", "康师傅的拌面面饼偏软，拌的时候一直断", "电商差评", 0),
            ],
        },
        "c-sauce": {
            "claim": "酱包集中在「麻酱 / 香辣」两类，地域风味是空档",
            "ownerCount": 3,
            "derivedFrom": [ids.get("jn_pain"), ids.get("wf_pain"), ids.get("hm_pain")],
            "quotes": [
                q(ids.get("jn_pain"), "地域党_208", "想吃川味，但是只有辣——麻香和香辣是两种东西", "小红书笔记", 166),
                q(None, "江浙沪_021", "拌面全是麻酱和辣，清淡口味的没得选", "电商评论", 0),
            ],
        },
        "c-price": {
            "claim": "学生与加班人群对份量敏感，「吃不饱」比「难吃」更容易被差评",
            "ownerCount": 2,
            "derivedFrom": [ids.get("wf_opp"), ids.get("ln_pain")],
            "quotes": [
                q(None, "大胃王_553", "一包根本吃不饱，加一包又要再冲一次，很麻烦", "电商评论", 0),
                q(None, "加班党_119", "十块钱的拌面，吃完还是很饿，不如点外卖", "抖音评论", 302),
            ],
        },
        "c-portable": {
            "claim": "露营 / 宿舍场景的核心矛盾是「没有锅也要有锅气」",
            "ownerCount": 2,
            "derivedFrom": [ids.get("cj_opp"), ids.get("cj_pain")],
            "quotes": [
                q(None, "露营_031", "露营带的都是泡面，想要拌面，但得煮，太麻烦", "小红书笔记", 521),
                q(None, "户外_882", "户外最简单就是开水，拌面要倒掉面汤，步骤多一步就不想买", "抖音评论", 143),
            ],
        },
        "c-noodle": {
            "claim": "地域风味（西北 / 西南 / 东北）在年轻人里的搜索热度高于现有 SKU 覆盖",
            "ownerCount": 3,
            "derivedFrom": [ids.get("zw_report"), ids.get("ly_opp"), ids.get("hm_pain")],
            "quotes": [
                q(None, "风味_1", "重庆小面的麻辣鲜香，速食里基本找不到", "小红书笔记", 389),
                q(None, "风味_2", "油泼面那种宽面，速食做不出来", "抖音评论", 274),
                q(None, "风味_3", "东北的酸菜拌面，速食没有", "微博话题", 0),
            ],
        },
        "c-plain": {
            "claim": "「不将就」的日常一餐是最大增量，但用户不愿意为此多花超过 3 元",
            "ownerCount": 2,
            "derivedFrom": [ids.get("ln_report"), ids.get("hm_opp")],
            "quotes": [
                q(None, "白领_267", "加班到十点，想吃口热的，又不想吃泡面的汤汤水水", "小红书笔记", 198),
                q(None, "白领_341", "更愿意为口感多付，但超过十五块就点外卖了", "B站评论", 87),
            ],
        },
        # 反面证据：一条被标成记录层的重复/推演成果，拿它说明「我们排除了什么」
        "c-weak": {
            "claim": "「老年人更爱汤面」这类推演，没有原文支撑就不能作为立项依据",
            "ownerCount": 1,
            "derivedFrom": [ids.get("zt_record")],
            "quotes": [],
        },
    }

    funnel = [
        {"stage": "S1", "name": "品类池", "value": 46, "unit": "", "scope": "国内速食面品类（拌面 / 泡面 / 鲜面 / 自热）",
         "note": "先把品类地图铺开，确定我们在哪条线上竞争。"},
        {"stage": "S2", "name": "目标人群", "value": 2.7, "unit": "亿", "scope": "18–35 岁、每周至少吃一次速食面条的一线到三线城市人群",
         "note": "用 VOC 原声过滤掉只吃外卖和只吃高端鲜面两端。"},
        {"stage": "S3", "name": "拌面细分市场", "value": 3000, "unit": "万人", "scope": "愿意把速食面当一顿正餐而不是垫一口的人",
         "note": "S3 机会识别：这里才是「不将就」需求的集中区。"},
        {"stage": "S4", "name": "可切入场景", "value": 900, "unit": "万人", "scope": "加班 / 宿舍 / 露营 三类「没有锅」的场景",
         "note": "S4 验证：三个场景的用户结构、付费意愿与竞品密度分别打分。"},
        {"stage": "S5", "name": "首推机会", "value": 180, "unit": "万人", "scope": "「不需要锅也能吃到锅气」的即食鲜拌面",
         "note": "S5 卖点设计：把「锅气」做成一句能记住的话。"},
    ]

    xray = {
        "cols": ["场景", "用户此刻的选择", "未满足需求（VOC 原声）", "VOC 条数", "机会"],
        "rows": [
            ["加班夜宵", [["泡面（汤面）", 61], ["外卖拌饭", 24], ["自热锅", 9]],
             ["面饼泡后偏软、没有嚼劲", "汤多、吃完撑但不满足"], 486, "高", "c-texture"],
            ["宿舍速食", [["泡面", 55], ["干拌面（麻酱/香辣）", 33]],
             ["只有麻酱和辣两种口味", "一包吃不饱、加一包又麻烦"], 372, "高", "c-sauce"],
            ["办公室午餐", [["便利店盒饭", 40], ["外卖", 38], ["速食拌面", 12]],
             ["拌好以后坨掉、没法边工作边吃", "等热水 3 分钟也被嫌慢"], 258, "中", "c-plain"],
            ["露营 / 户外", [["泡面", 48], ["干粮", 30]],
             ["没有锅也能有锅气", "拌面得倒面汤，多一步就不买"], 193, "中", "c-portable"],
            ["家庭囤货", [["大包装泡面", 70], ["挂面", 18]],
             ["一家人吃时口味不够分", "只看价格、不看口感"], 311, "低", "c-price"],
        ],
    }

    fit = {
        "can": [
            "面饼工艺：非油炸 + 蒸煮线的复合工艺已经是现有产线能力",
            "酱包研发：川、湘、西北三地的调味样已经在研发中心储备",
            "渠道：铺到 KA 与便利店，即食场景天然可达",
            "品牌：在速食面心智里有默认信任，降低尝试成本",
        ],
        "cannot": [
            "对标现煮手擀面的筋道——速食工艺做不到，宣称「手擀」是虚假宣传",
            "做成「不用水」的常温即食鲜面——目前保鲜与货架期都不支持",
            "承诺「吃饱」——份量上去之后成本与价格带冲突，不能两头都要",
        ],
        "transferCols": ["成功要素", "来源", "能否迁移到拌面", "怎么落地"],
        "transfer": [
            ["固定场景", "泡面（加班夜宵 / 宿舍）", "✅ 可迁移", "把「夜宵」写进包装正面，做 21:00–1:00 的场景标签"],
            ["大口味心智", "红烧牛肉面", "✅ 可迁移", "用「红烧」做第一支口味的锚点，降低认知成本"],
            ["低价尝鲜", "袋装泡面 2.5 元", "⚠️ 部分迁移", "只做小规格尝鲜装，主推规格定价 8–10 元"],
            ["煮食依赖", "鲜面 / 挂面", "❌ 不可迁移", "这是速食拌面必须绕开的红线"],
        ],
        "redlineCols": ["失败因子", "风险", "在拌面上会怎么发生"],
        "redline": [
            ["产品反效果", "极高", "酱太咸、口感坨掉 → 差评集中"],
            ["宣称与实际体验矛盾", "高", "宣称「锅气」但泡出来是糊的 → 信任崩塌"],
            ["品类联想错位", "中", "把拌面当零食卖 → 复购低"],
            ["价格高于外卖替代", "中", "定价超过 15 元 → 用户直接用外卖替代"],
        ],
    }

    positioning = {
        "ladder": [
            ["#1", "外卖 / 现煮面", "愿意花钱，但要像一顿饭"],
            ["#2", "瓶装泡面", "便宜、快、默认选择"],
            ["#3", "干拌面（麻酱 / 香辣）", "偶尔换个口味"],
            ["#4", "自热锅", "周末 / 露营的重口味方案"],
            ["#5", "⭐ 空着的位置", "想要不将就，但没有锅"],
        ],
        "statement": "不用锅，也能拌出面馆的口感",
        "for_who": "加班到深夜、宿舍里只有一壶开水、露营车上只有一个保温壶的人",
        "axis": [
            ["vs 泡面", "泡着吃是软塌的根源", "我们是拌的，口感由产品本身决定"],
            ["vs 外卖拌饭", "外卖是一顿饭，但我们更快、更热", "夜宵 3 分钟，比等外卖快"],
            ["vs 自热锅", "自热锅是重口味的仪式感，我们的场景更日常", "办公室 / 宿舍也能用"],
        ],
        "alt": ["B 案：「深夜的面馆，三分钟到桌」", "C 案：「宿舍里的一碗热拌面」（注意：不得使用手擀字样）"],
    }

    actions = [
        ["P0-1", "面饼工艺样机", "研发中心", "2 周", "非油炸 + 蒸煮复合工艺，目标「泡 4 分钟后仍有嚼劲」，与现有面饼盲测对比", "P0"],
        ["P0-2", "第一支口味锁定", "产品部", "2 周", "以红烧为锚，川味麻辣与西北油泼两个备选，各 200 份盲测", "P0"],
        ["P0-3", "场景包装", "品牌部", "3 周", "包装正面写场景（加班 / 宿舍 / 露营），背面写「不用锅」的冲泡步骤", "P0"],
        ["P1-1", "便利店夜宵端架测试", "渠道部", "1 个月", "选 50 家 24h 便利店做端架，观察 21 点后的动销", "P1"],
        ["P1-2", "露营渠道试水", "渠道部", "2 个月", "与户外品牌联名小规格装，验证「多一步就不买」", "P1"],
        ["P1-3", "地域风味扩展评估", "产品部", "3 个月", "基于 S1 竞品报告的地域风味搜索数据，评估第二支口味", "P1"],
    ]
    milestones = [
        ["M1", "口感验证",
         ["盲测中「泡后仍有嚼劲」的通过率 ≥ 60%", "与现煮面盲测对比，偏好度 ≥ 40%"],
         "通过率 < 40% → 回到工艺选择；< 25% → 放弃「不要锅」概念"],
        ["M2", "场景验证",
         ["50 家便利店夜宵时段动销率", "露营联合装复购率"],
         "动销率 < 10% → 调整端架与包装；仍无起色 → 换场景"],
        ["M3", "复购验证",
         ["首月复购率 ≥ 15%", "NPS ≥ 30"],
         "复购率 < 8% → 口感仍是问题；NPS < 20 → 定位偏差"],
    ]
    gaps = [
        ["现有产品的真实口感差距", "只有二手评论", "面饼含水量 / 复水时间参数 + 竞品盲测", "决定工艺路线", "高"],
        ["露营场景的实际购买路径", "S4 只做了问卷推演", "3 个营地的现场观察", "决定联名规格", "中"],
        ["外卖价格带的替代阈值", "没有价格敏感度测试", "10 / 12 / 15 元三档价格测试", "决定定价", "高"],
    ]

    return {
        "version": 1,
        "title": "康师傅即食鲜拌面 · 场景与口感机会洞察",
        "subtitle": "从泡着吃到拌着吃：5 大场景 × 现有产品 × 未满足需求",
        "method": "VOC 原声提取 × 场景拆解 × 竞品矩阵 × 机会验证评分（S1 品类 → S5 卖点）",
        "sources": "抖音 186 条视频 / 小红书 402 篇笔记 / 电商评论 1,930 条 / 便利店端架观察 12 家",
        "pipeline": [{"label": "原始 VOC 采集", "value": 2727}, {"label": "去噪去重", "value": 1190},
                     {"label": "精准 VOC", "value": 730}],
        "filterRate": "73%",
        "generatedAt": "2026-10-29T10:20:00.000Z",
        "structure": "封面 → 全景漏斗 → 嵌套洞察 → 痛声地图 → 产品适配 → 定位推导 → 行动蓝图",
        "kpis": [
            {"value": 2727, "unit": "条", "label": "原始 VOC", "note": "5 个平台、23 个关键词，30 天抓取"},
            {"value": 730, "unit": "条", "label": "精准 VOC", "note": "过滤率 73%，剔除广告、重复与无场景评论"},
            {"value": 5, "unit": "个", "label": "核心场景", "note": "加班夜宵 / 宿舍 / 办公室 / 露营 / 家庭囤货"},
            {"value": 2.7, "unit": "亿人", "label": "目标人群", "note": "18–35 岁，每周至少一次速食面条的城市人群"},
        ],
        "executive": [
            "拌面的问题不是没人吃，是吃得将就——用户想吃一碗像饭馆的拌面，但没有锅。",
            "「软塌 / 坨掉」是复购第一杀手，出现频次高于「难吃」；三份独立成果都指向同一件事。",
            "口味集中在麻酱与香辣两类，川味麻辣、西北油泼在搜索端有热度、产品端是空白。",
            "露营是「知道痛但还没买」的场景：多一步（倒面汤）就会损失一半潜在用户。",
        ],
        "chapters": [
            {
                "id": "ch1", "no": 1, "stage": "S1", "en": "MARKET FUNNEL", "title": "全景漏斗",
                "subtitle": "46 个品类 → 2.7 亿人 → 3000 万人 → 900 万人 → 180 万人",
                "lead": "把速食面这个大品类一路收窄到「没有锅、但想吃一碗好面」的那 180 万人——先看清我们是在几亿人里切多大一块。",
                "sections": [
                    {"id": "s1-1", "no": "1.1", "title": "五级漏斗 · 从品类池到首推机会", "kind": "funnel", "data": funnel},
                    {"id": "s1-2", "no": "1.2", "title": "品类全景 · 三条产品线的现状", "kind": "para",
                     "text": "国内速食面大致分三线：瓶装泡面（占比最大、增长停滞）、干拌面（近两年增长最快、但口味高度同质）、鲜面 / 自热（价格高、场景窄）。拌面是唯一一条「增长 + 同质化」同时成立的线——这意味着机会不在有没有产品，而在谁先把口感做出区隔。"},
                ],
            },
            {
                "id": "ch2", "no": 2, "stage": "S2", "en": "NESTED INSIGHT", "title": "嵌套洞察",
                "subtitle": "5 大场景 × 现有产品选择 × 未满足需求 × 机会",
                "lead": "用户不是按品类买面的，是按「此刻在哪儿、有没有锅、饿到什么程度」买的——把这三个坐标叠起来，才看得到空白。",
                "sections": [
                    {"id": "s2-1", "no": "2.1", "title": "5 大场景 × 现有产品 × 未满足需求", "kind": "matrix", "data": xray,
                     "note": "VOC 条数为该场景下相关原声条数；末列指后文产品适配章节对应的结论。"},
                    {"id": "s2-2", "no": "2.2", "title": "三条最锋利的结论", "kind": "findings", "data": [
                        {"id": "f-1", "conclusion": "「太软没嚼劲」是第一杀手",
                         "attitude": "口感不是加分项，是及格线。口感不合格的拌面，再怎么讲口味都不会复购。", "evidence": "c-texture"},
                        {"id": "f-2", "conclusion": "口味空档在地域，不在辣度",
                         "attitude": "再多一个更辣的口味没有意义；川味的麻、西北的油泼，才是搜索端在找、货架上没有的东西。", "evidence": "c-sauce"},
                        {"id": "f-3", "conclusion": "露营场景「多一步就不买」",
                         "attitude": "户外用户愿意为像样的一餐多付钱，但不愿意多带一口锅、多倒一次水。", "evidence": "c-portable"},
                    ]},
                ],
            },
            {
                "id": "ch3", "no": 3, "stage": "S2", "en": "PAIN MAP", "title": "痛声地图",
                "subtitle": "每一条差评 → 是哪类用户 → 有没有原文 → 能不能立项",
                "lead": "把 730 条精准 VOC 里真正带原文的痛声挑出来，钉在场景上——没有原文的痛声只能当线索，不能当依据。",
                "sections": [
                    {"id": "s3-1", "no": "3.1", "title": "痛点 × 场景 × 严重度", "kind": "table", "data": {
                        "cols": ["痛点", "集中场景", "出现条数", "严重度", "能不能立项"],
                        "rows": [
                            ["面饼泡后偏软、坨掉", "加班夜宵 / 宿舍", 214, "严重", "能：工艺问题，可解"],
                            ["只有麻酱 / 香辣两种口味", "宿舍 / 家庭", 168, "严重", "能：研发已有地域样"],
                            ["一包吃不饱", "宿舍 / 加班", 132, "中", "有条件：需解决成本"],
                            ["冲泡步骤多、要倒面汤", "露营 / 户外", 97, "中", "能：改包装结构"],
                            ["酱太咸 / 太油", "全场景", 76, "中", "能：调味迭代"],
                        ]}},
                    {"id": "s3-2", "no": "3.2", "title": "反面证据：不能拿推演当依据", "kind": "findings", "data": [
                        {"id": "f-4", "conclusion": "「老年人更爱汤面」只是一条推断",
                         "attitude": "这条推断掉进了记录层：没有原文、缺出身，不能用来指导立项。把它留在证据链里，是为了说明我们排除了什么。",
                         "evidence": "c-weak"},
                    ]},
                ],
            },
            {
                "id": "ch4", "no": 4, "stage": "S4", "en": "PRODUCT FIT", "title": "产品适配",
                "subtitle": "能做到的 × 做不到的 × 可迁移的 × 红线",
                "lead": "不吹不黑——康师傅在速食面上真正的能力边界在哪？哪些是能把泡面的成功搬过来的，哪些是碰了就要翻车的。",
                "sections": [
                    {"id": "s4-1", "no": "4.1", "title": "能做到的 vs 做不到的", "kind": "two", "data": fit},
                    {"id": "s4-2", "no": "4.2", "title": "成功因子可迁移 vs 失败的红线", "kind": "fit", "data": fit},
                    {"id": "s4-3", "no": "4.3", "title": "机会评分 · 需求强度 × 竞争烈度 × 我方能力", "kind": "score", "data": [
                        ["不需要锅的鲜拌面", 9, 4, 8, 84, "✅ 首推"],
                        ["川味麻辣拌面", 8, 6, 9, 71, "✅ 备选口味"],
                        ["露营联名小装", 6, 3, 6, 58, "⏳ 小规模验证"],
                        ["对标外卖的正餐拌面", 7, 9, 4, 41, "❌ 红海，不进"],
                    ], "note": "评分 = 需求强度×5 + 我方能力×3 − 竞争烈度×2，满分 100；只用于排序，不作为决策依据。"},
                    {"id": "s4-4", "no": "4.4", "title": "精准插入点", "kind": "para",
                     "text": "结论：不进更便宜的价格战，也不进像外卖正餐的红海，而是切「想吃得像样、但没有锅」的中间地带——用一个已经成熟的工艺（非油炸 + 蒸煮复合）把一个没被满足的需求（口感）补上。"},
                ],
            },
            {
                "id": "ch5", "no": 5, "stage": "S5", "en": "POSITIONING", "title": "定位推导",
                "subtitle": "心智阶梯 → 差异化锚点 → 一句话定位",
                "lead": "深夜的宿舍里，用户想起吃一碗面时，脑子里排在前面的依次是谁？我们要找的是这个序列里空着的那一格。",
                "sections": [
                    {"id": "s5-1", "no": "5.1", "title": "心智阶梯 · 用户决策序列", "kind": "ladder", "data": positioning},
                    {"id": "s5-2", "no": "5.2", "title": "差异化锚点", "kind": "table",
                     "data": {"cols": ["对标", "它的弱点", "我们的说法"], "rows": positioning["axis"]}},
                    {"id": "s5-3", "no": "5.3", "title": "定位陈述", "kind": "statement", "data": positioning},
                ],
            },
            {
                "id": "ch6", "no": 6, "stage": "S5", "en": "ACTION PLAN", "title": "行动蓝图",
                "subtitle": "P0 立即 / P1 三个月验证 / 数据缺口",
                "lead": "从结论到落地的最短路径：两周内能动的先动，三个月内用数据验证口感与场景，缺的数据写清楚下一轮怎么补。",
                "sections": [
                    {"id": "s6-1", "no": "6.1", "title": "P0 + P1 行动清单", "kind": "table", "data": {
                        "cols": ["编号", "行动项", "负责人", "期限", "具体内容", "优先级"], "rows": actions}},
                    {"id": "s6-2", "no": "6.2", "title": "三个月验证 · 决策节点", "kind": "milestones", "data": milestones},
                    {"id": "s6-3", "no": "6.3", "title": "数据缺口 × 下一轮采集", "kind": "table", "data": {
                        "cols": ["缺口", "当前状态", "需要什么", "影响决策", "优先级"], "rows": gaps}},
                ],
            },
        ],
        "evidence": E,
    }


def find_target(arts):
    for a in arts:
        if a.get("title") == TARGET_TITLE_KEYWORD:
            return a
    raise SystemExit(f"找不到承载报告的成果：{TARGET_TITLE_KEYWORD}（库里现有 {len(arts)} 条）")


def art_ids_by_owner(arts):
    """把报告里的结论/证据挂到真实存在的成果上（找不到就是 None，看板会如实显示）。
    优先选过程层、有出身的成果；同一个人有多条时，优先带原文的，再按时间。"""
    def rank(a):
        return (0 if a.get("layer") != "record" else 1,
                0 if a.get("sources") else 1,
                a.get("createdAt") or "")
    pool = sorted(arts, key=rank)

    def first(owner, stage_prefix=None):
        for a in pool:
            if a.get("ownerName") == owner and (not stage_prefix or str(a.get("stage", "")).startswith(stage_prefix)):
                return a["objectId"]
        return None
    return {
        "zw_report": find_target(arts)["objectId"],
        "zw_pain": first("张伟", "S1"), "zw_opp": first("张伟", "S1"),
        "ln_pain": first("李娜", "S2"), "ln_report": first("李娜", "S2"),
        "wf_pain": first("王芳", "S3"), "wf_opp": first("王芳", "S3"),
        "hm_pain": first("陈静"), "hm_opp": first("陈静"),
        "jn_pain": first("赵磊"), "jn_report": first("赵磊"),
        "cj_opp": first("陈静", "S5"), "cj_pain": first("陈静", "S5"),
        "ly_opp": first("刘洋", "S4"), "ly_report": first("刘洋", "S4"),
        "zt_record": next((a["objectId"] for a in arts if a.get("layer") == "record"
                           and "老年人" in a.get("title", "")), None),
    }




def main():
    if not MK and not DRY:
        sys.exit("PARSE_MASTER_KEY 未设置")
    arts = fetch("KfArtifact") if MK else []
    target = find_target(arts)
    report = build(art_ids_by_owner(arts))
    body = json.dumps(report, ensure_ascii=False)
    if DRY:
        print(json.dumps({"target": target["objectId"], "title": target["title"],
                          "bytes": len(body.encode()), "chapters": len(report["chapters"])}, ensure_ascii=False))
        return
    r = call("PUT", f"/classes/KfArtifact/{target['objectId']}", {"report": report})
    print("report written:", target["title"], "→", target["objectId"],
          "| bytes", len(body.encode()), "| chapters", len(report["chapters"]),
          "| ok" if "updatedAt" in r else f"| ERROR {r}")


if __name__ == "__main__":
    main()