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