feat: customer full-field display (raw_json + cloud-matching list + all-fields drawer)
Backend: - CustomerOut now exposes raw_json (verbatim upstream friend record) so the frontend can render every 云客 field without per-field structured columns. - The verbatim blob round-trips via from_attributes; no model change needed. Frontend: - CustomerList table mirrors the 云客 客户列表 column set (头像/微信昵称/微信号/ 备注/真实姓名/手机/性别/地区/描述/销售员工/部门/来源/添加方式/添加时间/最近 聊天/消息数/渠道). A readField helper reads the structured column first and falls back to raw_json.<camelCase>. - Row click opens an all-fields drawer (right side) rendering EVERY field of the record with Chinese labels, grouped (基本信息/联系方式/归属员工与部门/时间 与来源/消息统计/好友状态/其他). Timestamps format to local datetime, flags render 是/否, image URLs render as el-image thumbnails, empty values show —. - New src/utils/customerFields.ts holds the camelCase→中文 label map, the structured-column alias map, group definitions, and value-type formatters; unknown raw_json keys auto-flow into an 其他 section so new upstream fields surface without code changes. - Drawer 查看聊天记录 action navigates to /chat/:channel/:ownerId/:talkerId (owner_account_id + friend_id + channel), preserving the existing path. Co-Authored-By: Claude <noreply@anthropic.com>
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/**
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* Chinese-label map + grouping for the Customer all-fields drawer.
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*
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* The 云客 upstream friend record (`Customer.raw_json`) carries ~60 camelCase
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* fields (see docs/superpowers/specs/2026-08-01-yunke-data-dictionary.md §2).
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* This module turns that blob into a labeled, grouped, render-ready structure
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* for the drawer, with structured columns preferred over the verbatim value
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* when both exist (the structured column is type-normalized on ingest).
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*
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* Unknown keys (anything not in the label map) fall back to the raw key, so a
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* new field added upstream still shows up in 其他 instead of disappearing.
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*/
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import type { Customer } from '@/api/types'
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import { formatTime } from './format'
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/** camelCase raw_json key → 中文 label. Missing keys fall back to the key. */
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export const CUSTOMER_FIELD_LABELS: Record<string, string> = {
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// 基本信息
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friendWxId: '客户微信ID',
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friendWxNickname: '微信昵称',
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friendWxAlias: '微信号',
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friendWxRemark: '备注',
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alias: '微信号(归属)',
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realName: '真实姓名',
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gender: '性别',
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region: '地区',
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description: '描述',
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friendHeadImageUrl: '头像',
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headImg: '头像(备用)',
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// 联系方式
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phone: '手机号',
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wechatPhone: '微信手机号',
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friendWxPhone: '好友手机号',
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// 归属员工与部门
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saleName: '销售员',
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userName: '员工姓名',
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userId: '员工ID',
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wxId: '归属微信ID',
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ownerWchatId: '归属微信号',
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deptName: '部门',
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deptRouteName: '部门路径',
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deptRoute: '部门路径编码',
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// 时间与来源
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lastChatTime: '最近聊天时间',
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createTime: '创建时间',
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addTime: '添加时间',
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addType: '添加方式',
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fromType: '客户来源',
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// 消息统计
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sendNum: '发送消息数',
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receiveNum: '接收消息数',
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messageCount: '消息总数',
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// 好友状态
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friendState: '好友状态',
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friendType: '好友类型',
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friendTypeYunke: '云客好友类型',
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deleteFlag: '删除标记',
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isBlock: '是否拉黑',
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isReFriend: '是否重复好友',
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isQyFriend: '是否企微好友',
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isSale: '是否销售好友',
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// 其他 / 内部
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version: '版本号',
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companyCode: '公司编码',
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encryptUsername: '加密用户名',
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friendWxNicknameReverse: '昵称倒排(检索用)',
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verifyFlag: '验证标记',
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}
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/**
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* raw_json camelCase key → the structured snake_case column that mirrors it.
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* When a structured column is populated we prefer it (type-normalized); we
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* fall back to the verbatim raw_json value otherwise.
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*/
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const STRUCTURED_ALIAS: Record<string, keyof Customer> = {
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friendWxId: 'friend_id',
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friendWxNickname: 'friend_nickname',
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friendWxRemark: 'friend_remark',
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realName: 'real_name',
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phone: 'phone',
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region: 'region',
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saleName: 'sale_name',
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deptName: 'dept_name',
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friendHeadImageUrl: 'head_image_url',
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lastChatTime: 'last_chat_time',
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messageCount: 'message_count',
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version: 'version',
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}
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/** Fields whose value is an image URL → render as a thumbnail. */
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const IMAGE_KEYS = new Set(['friendHeadImageUrl', 'headImg'])
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/** Fields whose value is a millisecond epoch → format to local datetime. */
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const TIMESTAMP_KEYS = new Set(['lastChatTime', 'createTime', 'addTime'])
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/** Fields whose value is a gender code (0/1/2). */
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const GENDER_KEYS = new Set(['gender'])
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/** Fields whose value is a boolean / 0|1 flag → render 是/否. */
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const BOOLEAN_KEYS = new Set([
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'isBlock',
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'isReFriend',
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'isQyFriend',
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'isSale',
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])
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/** Drawer sections, rendered in this order. */
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export interface CustomerFieldGroup {
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title: string
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/** camelCase raw_json keys to surface in this section. */
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keys: string[]
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}
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export const CUSTOMER_FIELD_GROUPS: CustomerFieldGroup[] = [
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{
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title: '基本信息',
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keys: [
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'friendWxId',
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'friendWxNickname',
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'friendWxAlias',
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'friendWxRemark',
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'realName',
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'gender',
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'region',
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'description',
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'friendHeadImageUrl',
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'headImg',
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],
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},
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{
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title: '联系方式',
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keys: ['phone', 'wechatPhone', 'friendWxPhone'],
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},
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{
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title: '归属员工与部门',
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keys: [
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'saleName',
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'userName',
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'userId',
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'wxId',
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'ownerWchatId',
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'deptName',
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'deptRouteName',
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'deptRoute',
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],
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},
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{
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title: '时间与来源',
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keys: ['lastChatTime', 'createTime', 'addTime', 'addType', 'fromType'],
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},
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{
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title: '消息统计',
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keys: ['sendNum', 'receiveNum', 'messageCount'],
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},
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{
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title: '好友状态',
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keys: [
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'friendState',
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'friendType',
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'friendTypeYunke',
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'deleteFlag',
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'isBlock',
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'isReFriend',
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'isQyFriend',
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'isSale',
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],
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},
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]
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/** Every key already surfaced via a group (so 其他 can skip duplicates). */
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const KNOWN_KEYS = new Set(CUSTOMER_FIELD_GROUPS.flatMap((g) => g.keys))
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/** Resolve the 中文 label for a raw_json key (falls back to the key). */
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export function fieldLabel(key: string): string {
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return CUSTOMER_FIELD_LABELS[key] ?? key
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}
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/**
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* Read a field value with structured-column preference.
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* Returns the verbatim raw_json value when no structured column maps.
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*/
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export function readField(c: Customer, camelKey: string): unknown {
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const alias = STRUCTURED_ALIAS[camelKey]
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if (alias) {
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const v = c[alias]
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if (v !== null && v !== undefined) return v
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}
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return c.raw_json?.[camelKey]
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}
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/** A single field prepared for drawer rendering. */
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export interface DisplayField {
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key: string
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label: string
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/** Raw value (for text fallback). */
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value: unknown
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/** How the template should render it. */
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render: 'image' | 'time' | 'gender' | 'bool' | 'text' | 'empty'
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/** Pre-formatted text (for time/gender/bool/text kinds). Empty for image/empty. */
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text: string
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}
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/** gender code (0/1/2) → label. Other codes pass through as `性别 N`. */
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export function genderLabel(v: unknown): string {
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if (v === 0 || v === '0') return '未知'
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if (v === 1 || v === '1') return '男'
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if (v === 2 || v === '2') return '女'
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return `性别 ${String(v)}`
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}
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/** 0|1|true|false → 是/否; other ints pass through so info isn't hidden. */
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export function yesNoLabel(v: unknown): string {
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if (v === true || v === 1 || v === '1') return '是'
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if (v === false || v === 0 || v === '0') return '否'
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return String(v)
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}
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/** Classify + format a single field for the drawer. */
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export function toDisplayField(c: Customer, camelKey: string): DisplayField {
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const value = readField(c, camelKey)
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const label = fieldLabel(camelKey)
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if (value === null || value === undefined || value === '') {
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return { key: camelKey, label, value, render: 'empty', text: '' }
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}
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if (IMAGE_KEYS.has(camelKey) && typeof value === 'string') {
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return { key: camelKey, label, value, render: 'image', text: '' }
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}
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if (TIMESTAMP_KEYS.has(camelKey) && typeof value === 'number') {
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return { key: camelKey, label, value, render: 'time', text: formatTime(value) }
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}
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if (GENDER_KEYS.has(camelKey)) {
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return { key: camelKey, label, value, render: 'gender', text: genderLabel(value) }
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}
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if (BOOLEAN_KEYS.has(camelKey)) {
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return { key: camelKey, label, value, render: 'bool', text: yesNoLabel(value) }
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}
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return { key: camelKey, label, value, render: 'text', text: String(value) }
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}
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/**
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* Build the grouped display model for a customer.
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*
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* Each known group only includes fields that have a value (empty ones are
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* dropped to keep the drawer compact). A trailing 其他 section collects every
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* raw_json key not already surfaced, so new upstream fields show up
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* automatically instead of being silently hidden.
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*/
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export interface CustomerFieldSection {
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title: string
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fields: DisplayField[]
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}
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export function buildCustomerSections(c: Customer): CustomerFieldSection[] {
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const sections: CustomerFieldSection[] = CUSTOMER_FIELD_GROUPS.map((g) => ({
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title: g.title,
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fields: g.keys
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.map((k) => toDisplayField(c, k))
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.filter((f) => f.render !== 'empty'),
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}))
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// 其他: every raw_json key not already shown, in original insertion order.
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const raw = c.raw_json ?? {}
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const others: DisplayField[] = []
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for (const key of Object.keys(raw)) {
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if (KNOWN_KEYS.has(key)) continue
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const f = toDisplayField(c, key)
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if (f.render === 'empty') continue
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others.push(f)
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}
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if (others.length > 0) {
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sections.push({ title: '其他字段', fields: others })
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}
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return sections.filter((s) => s.fields.length > 0)
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}
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