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>
This commit is contained in:
浅念
2026-08-01 17:24:38 +08:00
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/**
* Chinese-label map + grouping for the Customer all-fields drawer.
*
* The 云客 upstream friend record (`Customer.raw_json`) carries ~60 camelCase
* fields (see docs/superpowers/specs/2026-08-01-yunke-data-dictionary.md §2).
* This module turns that blob into a labeled, grouped, render-ready structure
* for the drawer, with structured columns preferred over the verbatim value
* when both exist (the structured column is type-normalized on ingest).
*
* Unknown keys (anything not in the label map) fall back to the raw key, so a
* new field added upstream still shows up in 其他 instead of disappearing.
*/
import type { Customer } from '@/api/types'
import { formatTime } from './format'
/** camelCase raw_json key → 中文 label. Missing keys fall back to the key. */
export const CUSTOMER_FIELD_LABELS: Record<string, string> = {
// 基本信息
friendWxId: '客户微信ID',
friendWxNickname: '微信昵称',
friendWxAlias: '微信号',
friendWxRemark: '备注',
alias: '微信号(归属)',
realName: '真实姓名',
gender: '性别',
region: '地区',
description: '描述',
friendHeadImageUrl: '头像',
headImg: '头像(备用)',
// 联系方式
phone: '手机号',
wechatPhone: '微信手机号',
friendWxPhone: '好友手机号',
// 归属员工与部门
saleName: '销售员',
userName: '员工姓名',
userId: '员工ID',
wxId: '归属微信ID',
ownerWchatId: '归属微信号',
deptName: '部门',
deptRouteName: '部门路径',
deptRoute: '部门路径编码',
// 时间与来源
lastChatTime: '最近聊天时间',
createTime: '创建时间',
addTime: '添加时间',
addType: '添加方式',
fromType: '客户来源',
// 消息统计
sendNum: '发送消息数',
receiveNum: '接收消息数',
messageCount: '消息总数',
// 好友状态
friendState: '好友状态',
friendType: '好友类型',
friendTypeYunke: '云客好友类型',
deleteFlag: '删除标记',
isBlock: '是否拉黑',
isReFriend: '是否重复好友',
isQyFriend: '是否企微好友',
isSale: '是否销售好友',
// 其他 / 内部
version: '版本号',
companyCode: '公司编码',
encryptUsername: '加密用户名',
friendWxNicknameReverse: '昵称倒排(检索用)',
verifyFlag: '验证标记',
}
/**
* raw_json camelCase key → the structured snake_case column that mirrors it.
* When a structured column is populated we prefer it (type-normalized); we
* fall back to the verbatim raw_json value otherwise.
*/
const STRUCTURED_ALIAS: Record<string, keyof Customer> = {
friendWxId: 'friend_id',
friendWxNickname: 'friend_nickname',
friendWxRemark: 'friend_remark',
realName: 'real_name',
phone: 'phone',
region: 'region',
saleName: 'sale_name',
deptName: 'dept_name',
friendHeadImageUrl: 'head_image_url',
lastChatTime: 'last_chat_time',
messageCount: 'message_count',
version: 'version',
}
/** Fields whose value is an image URL → render as a thumbnail. */
const IMAGE_KEYS = new Set(['friendHeadImageUrl', 'headImg'])
/** Fields whose value is a millisecond epoch → format to local datetime. */
const TIMESTAMP_KEYS = new Set(['lastChatTime', 'createTime', 'addTime'])
/** Fields whose value is a gender code (0/1/2). */
const GENDER_KEYS = new Set(['gender'])
/** Fields whose value is a boolean / 0|1 flag → render 是/否. */
const BOOLEAN_KEYS = new Set([
'isBlock',
'isReFriend',
'isQyFriend',
'isSale',
])
/** Drawer sections, rendered in this order. */
export interface CustomerFieldGroup {
title: string
/** camelCase raw_json keys to surface in this section. */
keys: string[]
}
export const CUSTOMER_FIELD_GROUPS: CustomerFieldGroup[] = [
{
title: '基本信息',
keys: [
'friendWxId',
'friendWxNickname',
'friendWxAlias',
'friendWxRemark',
'realName',
'gender',
'region',
'description',
'friendHeadImageUrl',
'headImg',
],
},
{
title: '联系方式',
keys: ['phone', 'wechatPhone', 'friendWxPhone'],
},
{
title: '归属员工与部门',
keys: [
'saleName',
'userName',
'userId',
'wxId',
'ownerWchatId',
'deptName',
'deptRouteName',
'deptRoute',
],
},
{
title: '时间与来源',
keys: ['lastChatTime', 'createTime', 'addTime', 'addType', 'fromType'],
},
{
title: '消息统计',
keys: ['sendNum', 'receiveNum', 'messageCount'],
},
{
title: '好友状态',
keys: [
'friendState',
'friendType',
'friendTypeYunke',
'deleteFlag',
'isBlock',
'isReFriend',
'isQyFriend',
'isSale',
],
},
]
/** Every key already surfaced via a group (so 其他 can skip duplicates). */
const KNOWN_KEYS = new Set(CUSTOMER_FIELD_GROUPS.flatMap((g) => g.keys))
/** Resolve the 中文 label for a raw_json key (falls back to the key). */
export function fieldLabel(key: string): string {
return CUSTOMER_FIELD_LABELS[key] ?? key
}
/**
* Read a field value with structured-column preference.
* Returns the verbatim raw_json value when no structured column maps.
*/
export function readField(c: Customer, camelKey: string): unknown {
const alias = STRUCTURED_ALIAS[camelKey]
if (alias) {
const v = c[alias]
if (v !== null && v !== undefined) return v
}
return c.raw_json?.[camelKey]
}
/** A single field prepared for drawer rendering. */
export interface DisplayField {
key: string
label: string
/** Raw value (for text fallback). */
value: unknown
/** How the template should render it. */
render: 'image' | 'time' | 'gender' | 'bool' | 'text' | 'empty'
/** Pre-formatted text (for time/gender/bool/text kinds). Empty for image/empty. */
text: string
}
/** gender code (0/1/2) → label. Other codes pass through as `性别 N`. */
export function genderLabel(v: unknown): string {
if (v === 0 || v === '0') return '未知'
if (v === 1 || v === '1') return '男'
if (v === 2 || v === '2') return '女'
return `性别 ${String(v)}`
}
/** 0|1|true|false → 是/否; other ints pass through so info isn't hidden. */
export function yesNoLabel(v: unknown): string {
if (v === true || v === 1 || v === '1') return '是'
if (v === false || v === 0 || v === '0') return '否'
return String(v)
}
/** Classify + format a single field for the drawer. */
export function toDisplayField(c: Customer, camelKey: string): DisplayField {
const value = readField(c, camelKey)
const label = fieldLabel(camelKey)
if (value === null || value === undefined || value === '') {
return { key: camelKey, label, value, render: 'empty', text: '' }
}
if (IMAGE_KEYS.has(camelKey) && typeof value === 'string') {
return { key: camelKey, label, value, render: 'image', text: '' }
}
if (TIMESTAMP_KEYS.has(camelKey) && typeof value === 'number') {
return { key: camelKey, label, value, render: 'time', text: formatTime(value) }
}
if (GENDER_KEYS.has(camelKey)) {
return { key: camelKey, label, value, render: 'gender', text: genderLabel(value) }
}
if (BOOLEAN_KEYS.has(camelKey)) {
return { key: camelKey, label, value, render: 'bool', text: yesNoLabel(value) }
}
return { key: camelKey, label, value, render: 'text', text: String(value) }
}
/**
* Build the grouped display model for a customer.
*
* Each known group only includes fields that have a value (empty ones are
* dropped to keep the drawer compact). A trailing 其他 section collects every
* raw_json key not already surfaced, so new upstream fields show up
* automatically instead of being silently hidden.
*/
export interface CustomerFieldSection {
title: string
fields: DisplayField[]
}
export function buildCustomerSections(c: Customer): CustomerFieldSection[] {
const sections: CustomerFieldSection[] = CUSTOMER_FIELD_GROUPS.map((g) => ({
title: g.title,
fields: g.keys
.map((k) => toDisplayField(c, k))
.filter((f) => f.render !== 'empty'),
}))
// 其他: every raw_json key not already shown, in original insertion order.
const raw = c.raw_json ?? {}
const others: DisplayField[] = []
for (const key of Object.keys(raw)) {
if (KNOWN_KEYS.has(key)) continue
const f = toDisplayField(c, key)
if (f.render === 'empty') continue
others.push(f)
}
if (others.length > 0) {
sections.push({ title: '其他字段', fields: others })
}
return sections.filter((s) => s.fields.length > 0)
}