import { appDefine } from './defines/ai.ts';
import { PostChat, ChatOpts, ChatDataOpts } from './defines/ai.ts';

import { BaseQuery, DataOpts, Query } from '@kevisual/query/query';

export { appDefine };

export class QueryApp<T extends Query = Query> extends BaseQuery<T, typeof appDefine> {
  constructor(opts?: { query: T }) {
    super({
      ...opts,
      query: opts?.query!,
      queryDefine: appDefine,
    });
  }
  /**
   * 与 AI 进行对话, 调用 GPT 的AI 服务，生成结果，并返回。
   * @param data
   * @param opts
   * @returns
   */
  postChat(data: PostChat, opts?: DataOpts) {
    return this.chain('chat').post(data, opts);
  }
  /**
   * 获取模型列表
   * @param opts
   * @returns
   */
  getModelList(data?: { usernames?: string[] }, opts?: DataOpts) {
    return this.query.post(
      {
        path: 'ai',
        key: 'get-model-list',
        data,
      },
      opts,
    );
  }
  /**
   * 聊天对话模型
   * @param data
   * @param chatOpts
   * @param opts
   * @returns
   */
  chat(data: ChatDataOpts, chatOpts: ChatOpts, opts?: DataOpts) {
    const { username, model, group, getFull = true } = chatOpts;
    if (!username || !model || !group) {
      throw new Error('username, model, group is required');
    }
    return this.query.post(
      {
        path: 'ai',
        key: 'chat',
        ...chatOpts,
        getFull,
        data,
      },
      opts,
    );
  }
  clearConfigCache(opts?: DataOpts) {
    return this.query.post(
      {
        path: 'ai',
        key: 'clear-cache',
      },
      opts,
    );
  }
  /**
   * 获取聊天使用情况
   * @param opts
   * @returns
   */
  getChatUsage(opts?: DataOpts) {
    return this.query.post(
      {
        path: 'ai',
        key: 'get-chat-usage',
      },
      opts,
    );
  }

  /**
   * 清除当前用户模型自己的统计
   * @param opts
   * @returns
   */
  clearSelfUsage(opts?: DataOpts) {
    return this.query.post(
      {
        path: 'ai',
        key: 'clear-chat-limit',
      },
      opts,
    );
  }
}