Files
DocsGPT/frontend/src/preferences/preferenceApi.ts
2025-09-15 09:53:58 +05:30

128 lines
3.6 KiB
TypeScript

import conversationService from '../api/services/conversationService';
import userService from '../api/services/userService';
import { Doc, GetDocsResponse } from '../models/misc';
import { GetConversationsResult, ConversationSummary } from './types';
//Fetches all JSON objects from the source. We only use the objects with the "model" property in SelectDocsModal.tsx. Hopefully can clean up the source file later.
export async function getDocs(token: string | null): Promise<Doc[] | null> {
try {
const response = await userService.getDocs(token);
const data = await response.json();
const docs: Doc[] = [];
data.forEach((doc: object) => {
docs.push(doc as Doc);
});
return docs;
} catch (error) {
console.log(error);
return null;
}
}
export async function getDocsWithPagination(
sort = 'date',
order = 'desc',
pageNumber = 1,
rowsPerPage = 10,
searchTerm = '',
token: string | null,
): Promise<GetDocsResponse | null> {
try {
const query = `sort=${sort}&order=${order}&page=${pageNumber}&rows=${rowsPerPage}&search=${searchTerm}`;
const response = await userService.getDocsWithPagination(query, token);
const data = await response.json();
const docs: Doc[] = [];
Array.isArray(data.paginated) &&
data.paginated.forEach((doc: Doc) => {
docs.push(doc as Doc);
});
return {
docs: docs,
totalDocuments: data.total,
totalPages: data.totalPages,
nextCursor: data.nextCursor,
};
} catch (error) {
console.log(error);
return null;
}
}
export async function getConversations(
token: string | null,
): Promise<GetConversationsResult> {
try {
const response = await conversationService.getConversations(token);
if (!response.ok) {
console.error('Error fetching conversations:', response.statusText);
return { data: null, loading: false };
}
const rawData: unknown = await response.json();
if (!Array.isArray(rawData)) {
console.error(
'Invalid data format received from API: Expected an array.',
rawData,
);
return { data: null, loading: false };
}
const conversations: ConversationSummary[] = rawData.map((item: any) => ({
id: item.id,
name: item.name,
agent_id: item.agent_id ?? null,
}));
return { data: conversations, loading: false };
} catch (error) {
console.error(
'An unexpected error occurred while fetching conversations:',
error,
);
return { data: null, loading: false };
}
}
export function getLocalApiKey(): string | null {
const key = localStorage.getItem('DocsGPTApiKey');
return key;
}
export function getLocalRecentDocs(): Doc[] | null {
const docs = localStorage.getItem('DocsGPTRecentDocs');
return docs ? (JSON.parse(docs) as Doc[]) : null;
}
export function getLocalPrompt(): string | null {
const prompt = localStorage.getItem('DocsGPTPrompt');
return prompt;
}
export function setLocalApiKey(key: string): void {
localStorage.setItem('DocsGPTApiKey', key);
}
export function setLocalPrompt(prompt: string): void {
localStorage.setItem('DocsGPTPrompt', prompt);
}
export function setLocalRecentDocs(docs: Doc[] | null): void {
if (docs && docs.length > 0) {
localStorage.setItem('DocsGPTRecentDocs', JSON.stringify(docs));
docs.forEach((doc) => {
let docPath = 'default';
if (doc.type === 'local') {
docPath = 'local' + '/' + doc.name + '/';
}
userService
.checkDocs({ docs: docPath }, null)
.then((response) => response.json());
});
} else {
localStorage.removeItem('DocsGPTRecentDocs');
}
}