turash/bugulma/frontend/hooks/features/useOrganizationAI.ts
Damir Mukimov 6347f42e20
Consolidate repositories: Remove nested frontend .git and merge into main repository
- Remove nested git repository from bugulma/frontend/.git
- Add all frontend files to main repository tracking
- Convert from separate frontend/backend repos to unified monorepo
- Preserve all frontend code and development history as tracked files
- Eliminate nested repository complexity for simpler development workflow

This creates a proper monorepo structure with frontend and backend
coexisting in the same repository for easier development and deployment.
2025-11-25 06:02:57 +01:00

70 lines
1.9 KiB
TypeScript

/**
* Organization AI data extraction hook
* Handles AI-powered data extraction and generation for organizations
* Separated from form logic for better SRP
*/
import { useCallback } from 'react';
import {
useExtractDataFromFile,
useExtractDataFromText,
useGenerateOrganizationDescription,
} from '@/hooks/useGemini.ts';
import { useTranslation } from '@/hooks/useI18n.tsx';
interface UseOrganizationAIProps {
formData: {
description: string;
name: string;
sector: string;
tags: string[];
};
}
export const useOrganizationAI = ({ formData }: UseOrganizationAIProps) => {
const { t } = useTranslation();
const { refetch: extractFromText, isPending: isExtractingFromText } = useExtractDataFromText(
formData.description,
t
);
const { refetch: extractFromFile, isPending: isExtractingFromFile } = useExtractDataFromFile(
new File([], ''),
t
);
const { refetch: generateDescription, isPending: isGeneratingDescription } =
useGenerateOrganizationDescription(formData.name, formData.sector, formData.tags.join(', '), t);
const extractDataFromText = useCallback(async () => {
const result = await extractFromText();
return result.data;
}, [extractFromText]);
const extractDataFromFile = useCallback(async () => {
// Note: This would need to be updated to accept file parameter
// For now, returning placeholder
const result = await extractFromFile();
return result.data;
}, [extractFromFile]);
const generateOrganizationDescription = useCallback(async () => {
const result = await generateDescription();
return result.data;
}, [generateDescription]);
const isAnyAIOperationPending =
isExtractingFromText || isExtractingFromFile || isGeneratingDescription;
return {
extractDataFromText,
extractDataFromFile,
generateOrganizationDescription,
isExtractingFromText,
isExtractingFromFile,
isGeneratingDescription,
isAnyAIOperationPending,
};
};