143 lines
4.2 KiB
TypeScript
143 lines
4.2 KiB
TypeScript
import { ExtractorOptions } from './../lib/entities';
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import { Request, Response } from "express";
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import { WebScraperDataProvider } from "../scraper/WebScraper";
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import { billTeam, checkTeamCredits } from "../services/billing/credit_billing";
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import { authenticateUser } from "./auth";
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import { RateLimiterMode } from "../types";
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import { logJob } from "../services/logging/log_job";
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import { Document } from "../lib/entities";
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import { isUrlBlocked } from "../scraper/WebScraper/utils/blocklist"; // Import the isUrlBlocked function
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import { numTokensFromString } from '../lib/LLM-extraction/helpers';
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export async function scrapeHelper(
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req: Request,
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team_id: string,
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crawlerOptions: any,
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pageOptions: any,
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extractorOptions: ExtractorOptions
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): Promise<{
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success: boolean;
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error?: string;
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data?: Document;
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returnCode: number;
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}> {
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const url = req.body.url;
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if (!url) {
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return { success: false, error: "Url is required", returnCode: 400 };
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}
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if (isUrlBlocked(url)) {
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return { success: false, error: "Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.", returnCode: 403 };
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}
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const a = new WebScraperDataProvider();
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await a.setOptions({
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mode: "single_urls",
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urls: [url],
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crawlerOptions: {
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...crawlerOptions,
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},
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pageOptions: pageOptions,
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extractorOptions: extractorOptions
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});
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const docs = await a.getDocuments(false);
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// make sure doc.content is not empty
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const filteredDocs = docs.filter(
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(doc: { content?: string }) => doc.content && doc.content.trim().length > 0
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);
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if (filteredDocs.length === 0) {
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return { success: true, error: "No page found", returnCode: 200 };
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}
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let creditsToBeBilled = filteredDocs.length;
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const creditsPerLLMExtract = 4;
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if (extractorOptions.mode === "llm-extraction"){
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creditsToBeBilled = creditsToBeBilled + (creditsPerLLMExtract * filteredDocs.length)
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}
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const billingResult = await billTeam(
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team_id,
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creditsToBeBilled
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);
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if (!billingResult.success) {
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return {
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success: false,
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error:
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"Failed to bill team. Insufficient credits or subscription not found.",
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returnCode: 402,
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};
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}
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return {
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success: true,
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data: filteredDocs[0],
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returnCode: 200,
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};
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}
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export async function scrapeController(req: Request, res: Response) {
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try {
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// make sure to authenticate user first, Bearer <token>
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const { success, team_id, error, status } = await authenticateUser(
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req,
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res,
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RateLimiterMode.Scrape
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);
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if (!success) {
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return res.status(status).json({ error });
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}
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const crawlerOptions = req.body.crawlerOptions ?? {};
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const pageOptions = req.body.pageOptions ?? { onlyMainContent: false };
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const extractorOptions = req.body.extractorOptions ?? {
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mode: "markdown"
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}
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const origin = req.body.origin ?? "api";
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try {
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const { success: creditsCheckSuccess, message: creditsCheckMessage } =
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await checkTeamCredits(team_id, 1);
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if (!creditsCheckSuccess) {
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return res.status(402).json({ error: "Insufficient credits" });
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}
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} catch (error) {
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console.error(error);
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return res.status(500).json({ error: "Internal server error" });
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}
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const startTime = new Date().getTime();
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const result = await scrapeHelper(
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req,
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team_id,
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crawlerOptions,
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pageOptions,
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extractorOptions
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);
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const endTime = new Date().getTime();
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const timeTakenInSeconds = (endTime - startTime) / 1000;
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const numTokens = numTokensFromString(result.data.markdown, "gpt-3.5-turbo")
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logJob({
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success: result.success,
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message: result.error,
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num_docs: 1,
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docs: [result.data],
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time_taken: timeTakenInSeconds,
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team_id: team_id,
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mode: "scrape",
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url: req.body.url,
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crawlerOptions: crawlerOptions,
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pageOptions: pageOptions,
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origin: origin,
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extractor_options: extractorOptions,
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num_tokens: numTokens
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});
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return res.status(result.returnCode).json(result);
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} catch (error) {
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console.error(error);
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return res.status(500).json({ error: error.message });
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}
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}
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