cunkebao_v3/Touchkebao/src/utils/db.ts

/**
 * 数据库工具类 - 使用serverId作为主键的优化架构
 *
 * 架构设计：
 * 1. 使用serverId作为数据库主键，直接对应接口返回的id字段
 * 2. 保留原始的id字段，用于存储接口数据的完整性
 * 3. 简化数据处理逻辑，避免ID映射的复杂性
 *
 * 优势：
 * - 直接使用服务器ID作为主键，避免ID冲突
 * - 保持数据的一致性和可追溯性
 * - 简化查询逻辑，提高性能
 * - 支持重复数据检测和去重
 *
 * 使用方法：
 * - 存储接口数据：使用 createWithServerId() 或 createManyWithServerId()
 * - 查询数据：使用 findById(id) 根据原始ID查询，或 findByPrimaryKey(serverId) 根据主键查询
 * - 批量查询：使用 findByIds([id1, id2, ...]) 根据原始ID批量查询
 * - 内部操作：serverId作为主键用于数据库内部管理
 *
 * 示例：
 * const serverData = { id: 1001, name: '测试', ... }; // 接口返回的数据
 * const serverId = await service.createWithServerId(serverData); // 存储，返回serverId
 * const data = await service.findById(1001); // 根据原始ID查询（用户友好）
 * const dataByPK = await service.findByPrimaryKey(serverId); // 根据主键查询（内部使用）
 */

import Dexie, { Table } from "dexie";
import {
  KfUserListData,
  weChatGroup,
  ContractData,
  MessageListData,
} from "@/pages/pc/ckbox/data";

// 数据类型定义，使用serverId作为主键
export interface KfUserWithServerId extends Omit<KfUserListData, "id"> {
  serverId: number | string; // 服务器ID作为主键
  id?: number; // 接口数据的原始ID字段
}

// 新联系人列表数据接口
export interface NewContactListData {
  serverId: number | string; // 服务器ID作为主键
  id?: number; // 接口数据的原始ID字段
  groupName: string;
  contacts: ContractData[];
  weChatGroup: weChatGroup[];
}

// 数据库类
class CunkebaoDatabase extends Dexie {
  kfUsers!: Table<KfUserWithServerId>;
  weChatGroup!: Table<weChatGroup>;
  contracts!: Table<ContractData>;
  newContractList!: Table<NewContactListData>;
  messageList!: Table<MessageListData>;

  constructor() {
    super("CunkebaoDatabase");

    // 版本1：使用serverId作为主键的架构
    this.version(1).stores({
      kfUsers:
        "serverId, id, tenantId, wechatId, nickname, alias, avatar, gender, region, signature, bindQQ, bindEmail, bindMobile, createTime, currentDeviceId, isDeleted, deleteTime, groupId, memo, wechatVersion, lastUpdateTime, isOnline",
      weChatGroup:
        "serverId, id, wechatAccountId, tenantId, accountId, chatroomId, chatroomOwner, conRemark, nickname, chatroomAvatar,wechatChatroomId, groupId, config, unreadCount, notice, selfDisplyName",
      contracts:
        "serverId, id, wechatAccountId, wechatId, alias, conRemark, nickname, quanPin, avatar, gender, region, addFrom, phone, signature, accountId, extendFields, city, lastUpdateTime, isPassed, tenantId, groupId, thirdParty, additionalPicture, desc, config, lastMessageTime, unreadCount, duplicate",
      newContractList: "serverId, id, groupName, contacts",
      messageList:
        "serverId, id, dataType, wechatAccountId, tenantId, accountId, nickname, avatar, groupId, config, labels, unreadCount, wechatId, alias, conRemark, quanPin, gender, region, addFrom, phone, signature, extendFields, city, lastUpdateTime, isPassed, thirdParty, additionalPicture, desc, lastMessageTime, duplicate, chatroomId, chatroomOwner, chatroomAvatar, notice, selfDisplyName",
    });
  }
}

// 创建数据库实例
export const db = new CunkebaoDatabase();

// 简单的数据库操作类
export class DatabaseService<T> {
  constructor(private table: Table<T>) {}

  // 基础 CRUD 操作 - 使用serverId作为主键
  async create(data: Omit<T, "serverId">): Promise<string | number> {
    return await this.table.add(data as T);
  }

  // 创建数据（直接使用接口数据）
  // 接口数据的id字段直接作为serverId主键，原id字段保留
  async createWithServerId(data: any): Promise<string | number> {
    const dataToInsert = {
      ...data,
      serverId: data.id, // 使用接口的id作为serverId主键
    };
    return await this.table.add(dataToInsert as T);
  }

  // 根据原始ID查询（用户友好的查询方法）
  async findById(id: string | number): Promise<T | undefined> {
    return await this.table.where("id").equals(id).first();
  }

  // 根据serverId查询（内部主键查询）
  async findByPrimaryKey(serverId: string | number): Promise<T | undefined> {
    return await this.table.get(serverId);
  }

  async findAll(): Promise<T[]> {
    return await this.table.toArray();
  }

  async update(serverId: string | number, data: Partial<T>): Promise<number> {
    return await this.table.update(serverId, data as any);
  }

  async updateMany(
    dataList: { serverId: string | number; data: Partial<T> }[],
  ): Promise<number> {
    return await this.table.bulkUpdate(
      dataList.map(item => ({
        key: item.serverId,
        changes: item.data as any,
      })),
    );
  }

  async createMany(
    dataList: Omit<T, "serverId">[],
  ): Promise<(string | number)[]> {
    return await this.table.bulkAdd(dataList as T[], { allKeys: true });
  }

  // 批量创建数据（直接使用接口数据）
  // 接口数据的id字段直接作为serverId主键
  async createManyWithServerId(dataList: any[]): Promise<(string | number)[]> {
    // 检查是否存在重复的serverId
    const serverIds = dataList.map(item => item.id);
    const existingData = await this.table
      .where("serverId")
      .anyOf(serverIds)
      .toArray();
    const existingServerIds = new Set(
      existingData.map((item: any) => item.serverId),
    );

    // 过滤掉已存在的数据
    const newData = dataList.filter(item => !existingServerIds.has(item.id));

    if (newData.length === 0) {
      // console.log("所有数据都已存在，跳过插入");
      return [];
    }

    const processedData = newData.map(item => ({
      ...item,
      serverId: item.id, // 使用接口的id作为serverId主键
    }));

    return await this.table.bulkAdd(processedData as T[], { allKeys: true });
  }

  async delete(serverId: string | number): Promise<void> {
    await this.table.delete(serverId);
  }

  async clear(): Promise<void> {
    await this.table.clear();
  }

  // 条件查询
  async findWhere(field: keyof T, value: any): Promise<T[]> {
    return await this.table
      .where(field as string)
      .equals(value)
      .toArray();
  }

  // 根据服务器ID查询（兼容性方法）
  async findByServerId(serverId: any): Promise<T | undefined> {
    return await this.table.get(serverId);
  }

  // 根据原始ID批量查询
  async findByIds(ids: (string | number)[]): Promise<T[]> {
    return await this.table.where("id").anyOf(ids).toArray();
  }

  // 多值查询（IN 查询）
  async findWhereIn(field: keyof T, values: any[]): Promise<T[]> {
    return await this.table
      .where(field as string)
      .anyOf(values)
      .toArray();
  }

  // 范围查询
  async findWhereBetween(field: keyof T, min: any, max: any): Promise<T[]> {
    return await this.table
      .where(field as string)
      .between(min, max)
      .toArray();
  }

  // 模糊查询（以指定字符串开头）
  async findWhereStartsWith(field: keyof T, prefix: string): Promise<T[]> {
    return await this.table
      .where(field as string)
      .startsWith(prefix)
      .toArray();
  }

  // 不等于查询
  async findWhereNot(field: keyof T, value: any): Promise<T[]> {
    return await this.table
      .where(field as string)
      .notEqual(value)
      .toArray();
  }

  // 大于查询
  async findWhereGreaterThan(field: keyof T, value: any): Promise<T[]> {
    return await this.table
      .where(field as string)
      .above(value)
      .toArray();
  }

  // 小于查询
  async findWhereLessThan(field: keyof T, value: any): Promise<T[]> {
    return await this.table
      .where(field as string)
      .below(value)
      .toArray();
  }

  // 复合条件查询
  async findWhereMultiple(
    conditions: {
      field: keyof T;
      operator:
        | "equals"
        | "notEqual"
        | "above"
        | "below"
        | "aboveOrEqual"
        | "belowOrEqual"
        | "startsWith"
        | "anyOf"
        | "notIn"
        | "between"
        | "contains";
      value: any;
      value2?: any; // 用于 between 操作符
    }[],
  ): Promise<T[]> {
    let collection = this.table.toCollection();

    for (const condition of conditions) {
      const { field, operator, value, value2 } = condition;
      collection = collection.and(item => {
        const fieldValue = (item as any)[field];
        switch (operator) {
          case "equals":
            return fieldValue === value;
          case "notEqual":
            return fieldValue !== value;
          case "above":
            return fieldValue > value;
          case "below":
            return fieldValue < value;
          case "aboveOrEqual":
            return fieldValue >= value;
          case "belowOrEqual":
            return fieldValue <= value;
          case "startsWith":
            return (
              typeof fieldValue === "string" && fieldValue.startsWith(value)
            );
          case "contains":
            return typeof fieldValue === "string" && fieldValue.includes(value);
          case "anyOf":
            return Array.isArray(value) && value.includes(fieldValue);
          case "notIn":
            return Array.isArray(value) && !value.includes(fieldValue);
          case "between":
            return fieldValue >= value && fieldValue <= (value2 ?? value);
          default:
            return true;
        }
      });
    }

    return await collection.toArray();
  }

  // 分页查询
  async findWithPagination(
    page: number = 1,
    limit: number = 10,
  ): Promise<{ data: T[]; total: number; page: number; limit: number }> {
    const offset = (page - 1) * limit;
    const total = await this.table.count();
    const data = await this.table.offset(offset).limit(limit).toArray();

    return { data, total, page, limit };
  }

  // 排序查询
  async findAllSorted(
    field: keyof T,
    direction: "asc" | "desc" = "asc",
  ): Promise<T[]> {
    const collection = this.table.orderBy(field as string);
    return direction === "desc"
      ? await collection.reverse().toArray()
      : await collection.toArray();
  }

  // 统计
  async count(): Promise<number> {
    return await this.table.count();
  }

  // 条件统计
  async countWhere(field: keyof T, value: any): Promise<number> {
    return await this.table
      .where(field as string)
      .equals(value)
      .count();
  }
}

// 创建各表的服务实例
export const kfUserService = new DatabaseService(db.kfUsers);
export const weChatGroupService = new DatabaseService(db.weChatGroup);
export const contractService = new DatabaseService(db.contracts);
export const newContactListService = new DatabaseService(db.newContractList);
export const messageListService = new DatabaseService(db.messageList);

// 默认导出数据库实例
export default db;