mirror of
https://github.com/arc53/DocsGPT.git
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328 lines
7.7 KiB
TypeScript
328 lines
7.7 KiB
TypeScript
import conversationService from '../api/services/conversationService';
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import { Doc } from '../preferences/preferenceApi';
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import { Answer, FEEDBACK } from './conversationModels';
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function getDocPath(selectedDocs: Doc | null): string {
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let docPath = 'default';
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if (selectedDocs) {
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let namePath = selectedDocs.name;
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if (selectedDocs.language === namePath) {
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namePath = '.project';
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}
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if (selectedDocs.location === 'local') {
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docPath = 'local' + '/' + selectedDocs.name + '/';
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} else if (selectedDocs.location === 'remote') {
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docPath =
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selectedDocs.language +
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'/' +
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namePath +
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'/' +
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selectedDocs.version +
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'/' +
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selectedDocs.model +
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'/';
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} else if (selectedDocs.location === 'custom') {
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docPath = selectedDocs.docLink;
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}
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}
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return docPath;
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}
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export function handleFetchAnswer(
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question: string,
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signal: AbortSignal,
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selectedDocs: Doc | null,
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history: Array<any> = [],
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conversationId: string | null,
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promptId: string | null,
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chunks: string,
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token_limit: number,
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): Promise<
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| {
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result: any;
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answer: any;
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sources: any;
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conversationId: any;
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query: string;
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}
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| {
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result: any;
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answer: any;
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sources: any;
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query: string;
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conversationId: any;
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title: any;
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}
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> {
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const docPath = getDocPath(selectedDocs);
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history = history.map((item) => {
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return { prompt: item.prompt, response: item.response };
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});
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return conversationService
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.answer(
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{
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question: question,
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history: history,
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active_docs: docPath,
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conversation_id: conversationId,
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prompt_id: promptId,
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chunks: chunks,
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token_limit: token_limit,
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},
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signal,
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)
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.then((response) => {
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if (response.ok) {
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return response.json();
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} else {
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return Promise.reject(new Error(response.statusText));
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}
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})
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.then((data) => {
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const result = data.answer;
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return {
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answer: result,
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query: question,
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result,
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sources: data.sources,
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conversationId: data.conversation_id,
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};
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});
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}
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export function handleFetchAnswerSteaming(
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question: string,
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signal: AbortSignal,
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selectedDocs: Doc | null,
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history: Array<any> = [],
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conversationId: string | null,
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promptId: string | null,
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chunks: string,
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token_limit: number,
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onEvent: (event: MessageEvent) => void,
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): Promise<Answer> {
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const docPath = getDocPath(selectedDocs);
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history = history.map((item) => {
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return { prompt: item.prompt, response: item.response };
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});
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return new Promise<Answer>((resolve, reject) => {
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conversationService
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.answerStream(
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{
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question: question,
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active_docs: docPath,
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history: JSON.stringify(history),
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conversation_id: conversationId,
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prompt_id: promptId,
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chunks: chunks,
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token_limit: token_limit,
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isNoneDoc: selectedDocs === null,
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},
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signal,
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)
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.then((response) => {
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if (!response.body) throw Error('No response body');
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const reader = response.body.getReader();
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const decoder = new TextDecoder('utf-8');
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let counterrr = 0;
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const processStream = ({
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done,
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value,
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}: ReadableStreamReadResult<Uint8Array>) => {
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if (done) {
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console.log(counterrr);
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return;
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}
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counterrr += 1;
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const chunk = decoder.decode(value);
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const lines = chunk.split('\n');
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for (let line of lines) {
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if (line.trim() == '') {
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continue;
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}
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if (line.startsWith('data:')) {
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line = line.substring(5);
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}
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const messageEvent: MessageEvent = new MessageEvent('message', {
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data: line,
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});
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onEvent(messageEvent); // handle each message
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}
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reader.read().then(processStream).catch(reject);
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};
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reader.read().then(processStream).catch(reject);
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})
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.catch((error) => {
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console.error('Connection failed:', error);
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reject(error);
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});
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});
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}
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export function handleSearch(
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question: string,
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selectedDocs: Doc | null,
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conversation_id: string | null,
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history: Array<any> = [],
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chunks: string,
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token_limit: number,
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) {
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const docPath = getDocPath(selectedDocs);
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return conversationService
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.search({
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question: question,
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active_docs: docPath,
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conversation_id,
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history,
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chunks: chunks,
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token_limit: token_limit,
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isNoneDoc: selectedDocs === null,
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})
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.then((response) => response.json())
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.then((data) => {
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return data;
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})
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.catch((err) => console.log(err));
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}
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export function handleSendFeedback(
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prompt: string,
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response: string,
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feedback: FEEDBACK,
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) {
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return conversationService
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.feedback({
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question: prompt,
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answer: response,
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feedback: feedback,
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})
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.then((response) => {
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if (response.ok) {
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return Promise.resolve();
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} else {
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return Promise.reject();
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}
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});
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}
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export function handleFetchSharedAnswerStreaming( //for shared conversations
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question: string,
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signal: AbortSignal,
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apiKey: string,
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history: Array<any> = [],
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onEvent: (event: MessageEvent) => void,
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): Promise<Answer> {
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history = history.map((item) => {
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return { prompt: item.prompt, response: item.response };
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});
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return new Promise<Answer>((resolve, reject) => {
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const payload = {
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question: question,
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history: JSON.stringify(history),
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api_key: apiKey,
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};
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conversationService
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.answerStream(payload, signal)
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.then((response) => {
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if (!response.body) throw Error('No response body');
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const reader = response.body.getReader();
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const decoder = new TextDecoder('utf-8');
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let counterrr = 0;
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const processStream = ({
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done,
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value,
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}: ReadableStreamReadResult<Uint8Array>) => {
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if (done) {
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console.log(counterrr);
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return;
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}
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counterrr += 1;
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const chunk = decoder.decode(value);
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const lines = chunk.split('\n');
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for (let line of lines) {
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if (line.trim() == '') {
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continue;
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}
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if (line.startsWith('data:')) {
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line = line.substring(5);
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}
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const messageEvent: MessageEvent = new MessageEvent('message', {
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data: line,
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});
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onEvent(messageEvent); // handle each message
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}
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reader.read().then(processStream).catch(reject);
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};
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reader.read().then(processStream).catch(reject);
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})
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.catch((error) => {
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console.error('Connection failed:', error);
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reject(error);
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});
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});
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}
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export function handleFetchSharedAnswer(
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question: string,
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signal: AbortSignal,
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apiKey: string,
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): Promise<
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| {
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result: any;
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answer: any;
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sources: any;
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query: string;
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}
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result: any;
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answer: any;
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sources: any;
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query: string;
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title: any;
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}
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> {
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return conversationService
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.answer(
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{
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question: question,
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api_key: apiKey,
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},
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signal,
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)
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.then((response) => {
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if (response.ok) {
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return response.json();
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} else {
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return Promise.reject(new Error(response.statusText));
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}
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})
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.then((data) => {
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const result = data.answer;
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return {
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answer: result,
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query: question,
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result,
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sources: data.sources,
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};
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});
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}
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