mirror of
https://github.com/Litlyx/litlyx
synced 2025-12-10 07:48:37 +01:00
225 lines
8.3 KiB
TypeScript
225 lines
8.3 KiB
TypeScript
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import pdfkit from 'pdfkit';
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import { PassThrough } from 'node:stream';
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import { ProjectModel } from "@schema/project/ProjectSchema";
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import { VisitModel } from '@schema/metrics/VisitSchema';
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import { EventModel } from '@schema/metrics/EventSchema';
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import { ReportCustomizationModel, TReportCustomization } from '~/shared/schema/report/ReportCustomizationSchema';
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import { getInstance } from '~/server/services/AiService';
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import { zodResponseFormat } from 'openai/helpers/zod';
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import z from 'zod';
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const ZPromptResponse = z.object({
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report: z.string({ description: 'Short, user-facing report summarizing website analytics data. Should be professional but slightly discursive, not just a list of stats, feel like a human summary — similar to an executive update. Highlight key numbers and insights (like visits, top countries, referrers). Use just text, no markdown. Max 620 chars.' }),
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insights: z.string({ description: 'Growth hacker, product expert and marketing expert. Simple and effective actionable insights. Max 3. Short.' }).array()
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})
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type PDFGenerationData = {
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projectName: string,
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snapshotName: string,
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totalVisits: string,
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avgVisitsDay: string,
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totalEvents: string,
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topDomain: string,
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topDevice: string,
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topCountries: string[],
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topReferrers: string[],
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customization?: any,
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naturalText: string,
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insights: string[]
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}
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function formatNumberK(value: string | number, decimals: number = 1) {
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const num = parseInt(value.toString());
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if (num > 1_000_000) return (num / 1_000_000).toFixed(decimals) + ' M';
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if (num > 1_000) return (num / 1_000).toFixed(decimals) + ' K';
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return num.toFixed();
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}
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const LINE_SPACING = 0.5;
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const resourcePath = process.env.MODE === 'TEST' ? './public/pdf/' : './.output/public/pdf/';
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function createPdf(data: PDFGenerationData) {
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const pdf = new pdfkit({
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size: 'A4',
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margins: {
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top: 30, bottom: 30, left: 50, right: 50
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},
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});
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let bgColor = '#0A0A0A';
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let textColor = '#FFFFFF';
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let logo = data.customization?.logo ?? resourcePath + 'pdf_images/logo.png'
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if (data.customization?.bg) {
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bgColor = data.customization.bg === 'white' ? '#FFFFFF' : '#0A0A0A';
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textColor = data.customization.bg === 'white' ? '#000000' : '#FFFFFF';
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}
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pdf.fillColor(bgColor).rect(0, 0, pdf.page.width, pdf.page.height).fill(bgColor);
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Bold.ttf').fontSize(16).fillColor(textColor);
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pdf.text(`Report for: ${data.projectName} project`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.moveDown(LINE_SPACING)
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Bold.ttf').fontSize(13).fillColor(textColor);
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pdf.text(`Timeframe name: ${data.snapshotName}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Regular.ttf').fontSize(12).fillColor(textColor)
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pdf.text(`${data.naturalText}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.moveDown(LINE_SPACING)
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Bold.ttf').fontSize(13).fillColor(textColor);
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pdf.text(`Plain metrics:`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Regular.ttf').fontSize(12).fillColor(textColor)
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pdf.text(`Total visits: ${data.totalVisits}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.text(`Average visits per day: ${data.avgVisitsDay}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.text(`Total events: ${data.totalEvents}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.text(`Top domain: ${data.topDomain}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.text(`Top device: ${data.topDevice}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.text(`Top 3 countries: ${data.topCountries.join(', ')}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.text(`Top 3 best acquisition channels (referrers): ${data.topReferrers.join(', ')}`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.moveDown(LINE_SPACING)
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Bold.ttf').fontSize(13).fillColor(textColor);
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pdf.text(`Actionable insights:`, { align: 'left' }).moveDown(LINE_SPACING);
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Regular.ttf').fontSize(12).fillColor(textColor)
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for (let i = 0; i < data.insights.length; i++) {
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pdf.text(`• ${data.insights[i]}`, { align: 'left' }).moveDown(LINE_SPACING);
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}
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pdf.font(resourcePath + 'pdf_fonts/Poppins-Regular.ttf')
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.fontSize(10)
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.fillColor(textColor)
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.text(`Created with Litlyx.com, ${new Date().toLocaleDateString('en-US')}`, 50, 780, { align: 'left' });
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pdf.image(logo, 465, 695, { width: 85 });
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pdf.end();
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return pdf;
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}
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export default defineEventHandler(async event => {
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const data = await getRequestData(event, [], []);
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if (!data) return;
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const userData = getRequestUser(event);
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if (!userData?.logged) return setResponseStatus(event, 400, 'NotLogged');
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const project = await ProjectModel.findById(data.project_id);
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if (!project) return setResponseStatus(event, 400, 'Project not found');
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const snapshotHeader = getHeader(event, 'x-snapshot-name');
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const fromHeader = getHeader(event, 'x-from');
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const toHeader = getHeader(event, 'x-to');
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const from = fromHeader ? new Date(fromHeader) : new Date(2020, 0);
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const to = toHeader ? new Date(toHeader) : new Date(3001, 0);
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const eventsCount = await EventModel.countDocuments({
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project_id: project._id,
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created_at: { $gte: from, $lte: to }
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});
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const visitsCount = await VisitModel.countDocuments({
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project_id: project._id,
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created_at: { $gte: from, $lte: to }
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});
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const avgVisitDay = () => {
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const days = (Date.now() - (from.getTime())) / 1000 / 60 / 60 / 24;
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const avg = visitsCount / Math.max(days, 1);
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return avg;
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};
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const topDevices = await VisitModel.aggregate([
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{ $match: { project_id: project._id, created_at: { $gte: from, $lte: to } } },
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{ $group: { _id: "$device", count: { $sum: 1 } } },
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{ $match: { _id: { $ne: null } } },
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{ $sort: { count: -1 } },
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{ $limit: 1 }
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]);
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const topDevice = topDevices?.[0]?._id || 'Not enough data';
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const topDomains = await VisitModel.aggregate([
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{ $match: { project_id: project._id, created_at: { $gte: from, $lte: to } } },
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{ $group: { _id: "$website", count: { $sum: 1 } } },
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{ $sort: { count: -1 } },
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{ $limit: 1 }
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]);
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const topDomain = topDomains?.[0]?._id || 'Not enough data';
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const topCountries = await VisitModel.aggregate([
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{ $match: { project_id: project._id, created_at: { $gte: from, $lte: to } } },
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{ $group: { _id: "$country", count: { $sum: 1 } } },
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{ $sort: { count: -1 } },
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{ $limit: 3 }
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]);
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const topReferrers = await VisitModel.aggregate([
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{ $match: { project_id: project._id, created_at: { $gte: from, $lte: to } } },
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{ $group: { _id: "$referrer", count: { $sum: 1 } } },
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{ $sort: { count: -1 } },
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{ $limit: 3 }
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]);
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const customization = await ReportCustomizationModel.findOne({ project_id: project._id });
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const textData: Omit<PDFGenerationData, 'naturalText' | 'insights' | 'customization'> = {
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projectName: project.name,
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snapshotName: snapshotHeader || 'NO_NAME',
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totalVisits: formatNumberK(visitsCount),
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avgVisitsDay: formatNumberK(avgVisitDay()) + '/day',
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totalEvents: formatNumberK(eventsCount),
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topDevice: topDevice,
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topDomain: topDomain,
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topCountries: topCountries.map(e => e._id),
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topReferrers: topReferrers.map(e => e._id),
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}
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const openai = getInstance();
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const res = await openai.chat.completions.create({
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messages: [
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{
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role: 'user', content: `${JSON.stringify(textData)}`,
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}
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],
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response_format: zodResponseFormat(ZPromptResponse, 'response'),
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model: 'gpt-4o-mini'
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})
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const resObject = JSON.parse(res.choices[0].message.content ?? '{}');
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const pdf = createPdf({ ...textData, naturalText: resObject.report, insights: resObject.insights, customization: customization?.toJSON() as TReportCustomization, });
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const passThrough = new PassThrough();
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pdf.pipe(passThrough);
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await sendStream(event, passThrough);
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}); |