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- Add background_information field to Room database table and model - Create database migration for the new field - Update API schemas (CreateRoom, UpdateRoom) to handle background_information - Integrate room context into AI summarization prompts - Add background_information field to frontend room form - Update TypeScript types from regenerated OpenAPI spec The background information will be used to provide context for AI-generated summaries, helping create more appropriate and relevant meeting summaries. 🤖 Generated with [opencode](https://opencode.ai) Co-Authored-By: opencode <noreply@opencode.ai>
60 lines
1.5 KiB
TypeScript
60 lines
1.5 KiB
TypeScript
import { useEffect, useState } from "react";
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import { useError } from "../../(errors)/errorContext";
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import useApi from "../../lib/useApi";
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import { PageGetTranscriptMinimal, SourceKind } from "../../api";
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type TranscriptList = {
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response: PageGetTranscriptMinimal | null;
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loading: boolean;
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error: Error | null;
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refetch: () => void;
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};
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const useTranscriptList = (
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page: number,
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sourceKind: SourceKind | null,
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roomId: string | null,
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searchTerm: string | null,
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): TranscriptList => {
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const [response, setResponse] = useState<PageGetTranscriptMinimal | null>(
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null,
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);
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const [loading, setLoading] = useState<boolean>(true);
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const [error, setErrorState] = useState<Error | null>(null);
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const { setError } = useError();
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const api = useApi();
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const [refetchCount, setRefetchCount] = useState(0);
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const refetch = () => {
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setLoading(true);
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setRefetchCount(refetchCount + 1);
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};
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useEffect(() => {
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if (!api) return;
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setLoading(true);
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api
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.v1TranscriptsList({
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page,
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sourceKind,
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roomId,
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searchTerm,
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size: 10,
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})
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.then((response) => {
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setResponse(response);
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setLoading(false);
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})
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.catch((err) => {
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setResponse(null);
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setLoading(false);
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setError(err);
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setErrorState(err);
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});
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}, [api, page, refetchCount, roomId, searchTerm, sourceKind]);
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return { response, loading, error, refetch };
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};
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export default useTranscriptList;
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