NapCatQQ/src/onebot/action/extends/FetchEmojioLike.ts
手瓜一十雪 518ff48e97 chore: Action
2024-08-09 15:50:17 +08:00

34 lines
1.3 KiB
TypeScript

//getMsgEmojiLikesList
import { FromSchema, JSONSchema } from 'json-schema-to-ts';
import BaseAction from '../BaseAction';
import { ActionName } from '../types';
import { NTQQMsgApi } from '@/core/apis';
import { MessageUnique } from '@/common/utils/MessageUnique';
const SchemaData = {
type: 'object',
properties: {
user_id: { type: 'string' },
group_id: { type: 'string' },
emojiId: { type: 'string' },
emojiType: { type: 'string' },
message_id: { type: ['string', 'number'] },
count: { type: 'number' }
},
required: ['emojiId', 'emojiType', 'message_id']
} as const satisfies JSONSchema;
type Payload = FromSchema<typeof SchemaData>;
export class FetchEmojioLike extends BaseAction<Payload, any> {
actionName = ActionName.FetchEmojioLike;
PayloadSchema = SchemaData;
protected async _handle(payload: Payload) {
const NTQQMsgApi = this.CoreContext.getApiContext().MsgApi;
const msgIdPeer = MessageUnique.getMsgIdAndPeerByShortId(parseInt(payload.message_id.toString()));
if(!msgIdPeer) throw new Error('消息不存在');
const msg = (await NTQQMsgApi.getMsgsByMsgId(msgIdPeer.Peer, [msgIdPeer.MsgId])).msgList[0];
const ret = await NTQQMsgApi.getMsgEmojiLikesList(msgIdPeer.Peer,msg.msgSeq,payload.emojiId,payload.emojiType,payload.count);
return ret;
}
}