mirror of
https://github.com/mendableai/firecrawl.git
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217 lines
6.3 KiB
TypeScript
217 lines
6.3 KiB
TypeScript
import { Request, Response } from "express";
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import { Logger } from '../../lib/logger';
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import { checkAndUpdateURL } from '../../lib/validateUrl';
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import { RequestWithAuth, ScrapeRequest, scrapeRequestSchema, ScrapeResponse } from "./types";
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export async function scrapeController(req: RequestWithAuth<ScrapeResponse, ScrapeRequest>, res: Response<ScrapeResponse>) {
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req.body = scrapeRequestSchema.parse(req.body);
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console.log(req.body);
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// TODO: check req.body
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// mockup req.body
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// req.body = {
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// url: "test",
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// headers: {
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// "x-key": "test"
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// },
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// formats: ["markdown", "html", "rawHtml", "content", "linksOnPage", "screenshot", "fullPageScreenshot"],
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// includeTags: ["test"],
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// excludeTags: ["test"],
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// onlyMainContent: false,
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// timeout: 30000,
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// waitFor: number
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// }
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let earlyReturn = false;
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// make sure to authenticate user first, Bearer <token>
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// check credits
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const result: ScrapeResponse = {
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success: true,
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warning: "test",
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data: {
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markdown: "test",
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html: "test",
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rawHtml: "test",
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links: ["test1", "test2"],
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screenshot: "test",
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metadata: {
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title: "test",
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description: "test",
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language: "test",
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sourceURL: "test",
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statusCode: 200,
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error: "test"
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}
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}
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}
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return res.status(200).json(result);
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// const crawlerOptions = req.body.crawlerOptions ?? {};
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// const pageOptions = { ...defaultPageOptions, ...req.body.pageOptions };
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// const extractorOptions = { ...defaultExtractorOptions, ...req.body.extractorOptions };
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// const origin = req.body.origin ?? defaultOrigin;
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// let timeout = req.body.timeout ?? defaultTimeout;
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// if (extractorOptions.mode.includes("llm-extraction")) {
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// pageOptions.onlyMainContent = true;
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// timeout = req.body.timeout ?? 90000;
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// }
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// const checkCredits = async () => {
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// try {
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// const { success: creditsCheckSuccess, message: creditsCheckMessage } = await checkTeamCredits(team_id, 1);
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// if (!creditsCheckSuccess) {
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// earlyReturn = true;
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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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// Logger.error(error);
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// earlyReturn = true;
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// return res.status(500).json({ error: "Error checking team credits. Please contact hello@firecrawl.com for help." });
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// }
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// };
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// await checkCredits();
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// const jobId = uuidv4();
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// const startTime = new Date().getTime();
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// const result = await scrapeHelper(
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// jobId,
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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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// timeout,
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// plan
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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 = (result.data && result.data.markdown) ? numTokensFromString(result.data.markdown, "gpt-3.5-turbo") : 0;
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// if (result.success) {
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// let creditsToBeBilled = 1; // Assuming 1 credit per document
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// const creditsPerLLMExtract = 50;
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// if (extractorOptions.mode.includes("llm-extraction")) {
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// // creditsToBeBilled = creditsToBeBilled + (creditsPerLLMExtract * filteredDocs.length);
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// creditsToBeBilled += creditsPerLLMExtract;
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// }
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// let startTimeBilling = new Date().getTime();
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// if (earlyReturn) {
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// // Don't bill if we're early returning
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// return;
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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 res.status(402).json({
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// success: false,
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// error: "Failed to bill team. Insufficient credits or subscription not found.",
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// });
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// }
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// }
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// logJob({
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// job_id: jobId,
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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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}
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// export async function scrapeHelper(
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// jobId: string,
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// req: Request,
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// team_id: string,
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// crawlerOptions: any,
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// pageOptions: PageOptions,
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// extractorOptions: ExtractorOptions,
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// timeout: number,
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// plan?: string
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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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// jobId,
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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 timeoutPromise = new Promise<{ success: boolean; error?: string; returnCode: number }>((_, reject) =>
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// setTimeout(() => reject({ success: false, error: "Request timed out. Increase the timeout by passing `timeout` param to the request.", returnCode: 408 }), timeout)
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// );
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// const docsPromise = a.getDocuments(false);
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// let docs;
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// try {
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// docs = await Promise.race([docsPromise, timeoutPromise]);
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// } catch (error) {
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// return error;
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// }
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// // make sure doc.content is not empty
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// let 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, data: docs[0] };
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// }
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// // Remove rawHtml if pageOptions.rawHtml is false and extractorOptions.mode is llm-extraction-from-raw-html
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// if (!pageOptions.includeRawHtml && extractorOptions.mode == "llm-extraction-from-raw-html") {
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// filteredDocs.forEach(doc => {
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// delete doc.rawHtml;
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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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