feat: default locale Russian, geo determines language for other countries
- localization-svc: defaultLocale ru, resolveLocale only by geo - web-svc: DEFAULT_LOCALE ru, layout lang=ru, embeddedTranslations fallback ru - countryToLocale: default ru when no country or unknown country Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
home
15
services/create-svc/Dockerfile
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15
services/create-svc/Dockerfile
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@@ -0,0 +1,15 @@
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FROM node:22-alpine AS builder
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WORKDIR /app
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COPY package*.json ./
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RUN npm ci
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COPY tsconfig.json ./
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COPY src ./src
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RUN npm run build
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FROM node:22-alpine
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WORKDIR /app
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COPY package*.json ./
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RUN npm ci --omit=dev
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COPY --from=builder /app/dist ./dist
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EXPOSE 3011
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CMD ["node", "dist/index.js"]
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22
services/create-svc/package.json
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22
services/create-svc/package.json
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{
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"name": "create-svc",
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"version": "1.0.0",
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"private": true,
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"type": "module",
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"scripts": {
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"dev": "tsx watch src/index.ts",
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"build": "tsc",
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"start": "node dist/index.js"
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},
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"dependencies": {
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"fastify": "^4.28.1",
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"@fastify/cors": "^9.0.1",
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"jspdf": "^3.0.4",
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"zod": "^4.1.12"
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},
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"devDependencies": {
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"@types/node": "^22.10.0",
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"tsx": "^4.19.2",
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"typescript": "^5.7.2"
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}
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}
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399
services/create-svc/src/index.ts
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399
services/create-svc/src/index.ts
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/**
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* create-svc — Create (таблицы, дашборды), Export thread (PDF/MD)
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* docs/architecture: 01-perplexity-analogue-design.md §5.10
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* API: POST /api/v1/create (stub), POST /api/v1/export
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*/
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import Fastify from 'fastify';
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import cors from '@fastify/cors';
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import { z } from 'zod';
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import { jsPDF } from 'jspdf';
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const PORT = parseInt(process.env.PORT ?? '3011', 10);
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const app = Fastify({ logger: true });
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await app.register(cors, { origin: true });
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const exportSectionSchema = z.object({
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query: z.string(),
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createdAt: z.union([z.string(), z.date()]),
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parsedTextBlocks: z.array(z.string()).optional().default([]),
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responseBlocks: z
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.array(
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z.object({
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type: z.string(),
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data: z.any().optional(),
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})
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)
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.optional()
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.default([]),
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});
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const exportBodySchema = z.object({
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format: z.enum(['pdf', 'md']),
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title: z.string().optional().default('chat'),
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sections: z.array(exportSectionSchema),
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});
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type ExportSection = z.infer<typeof exportSectionSchema>;
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function buildMarkdown(title: string, sections: ExportSection[]): string {
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const date = new Date(
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(sections[0]?.createdAt as string) || Date.now()
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).toLocaleString();
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let md = `# Chat Export: ${title}\n\n`;
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md += `*Exported on: ${date}*\n\n---\n`;
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sections.forEach((section) => {
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md += `\n---\n`;
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md += `**User** \n`;
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md += `*${new Date(section.createdAt as string).toLocaleString()}*\n\n`;
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md += `> ${String(section.query).replace(/\n/g, '\n> ')}\n`;
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if (section.responseBlocks?.length) {
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const textBlock = section.responseBlocks.find((b) => b.type === 'text');
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const text = textBlock?.data ?? section.parsedTextBlocks?.join('\n') ?? '';
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if (text) {
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md += `\n**Assistant** \n`;
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md += `*${new Date(section.createdAt as string).toLocaleString()}*\n\n`;
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md += `> ${text.replace(/\n/g, '\n> ')}\n`;
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}
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const sourceBlock = section.responseBlocks.find((b) => b.type === 'source');
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const sources = (sourceBlock?.data as { metadata?: { url?: string } }[]) ?? [];
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if (sources.length) {
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md += `\n**Citations:**\n`;
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sources.forEach((src: { metadata?: { url?: string } }, i: number) => {
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const url = src.metadata?.url ?? '';
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md += `- [${i + 1}] [${url}](${url})\n`;
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});
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}
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}
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});
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md += '\n---\n';
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return md;
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}
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function buildPDF(title: string, sections: ExportSection[]): Buffer {
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const doc = new jsPDF();
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const pageHeight = doc.internal.pageSize.height;
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let y = 15;
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const date = new Date(
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(sections[0]?.createdAt as string) || Date.now()
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).toLocaleString();
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doc.setFontSize(18);
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doc.text(`Chat Export: ${title}`, 10, y);
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y += 8;
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doc.setFontSize(11);
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doc.setTextColor(100);
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doc.text(`Exported on: ${date}`, 10, y);
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y += 8;
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doc.setDrawColor(200);
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doc.line(10, y, 200, y);
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y += 6;
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doc.setTextColor(30);
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for (const section of sections) {
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if (y > pageHeight - 30) {
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doc.addPage();
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y = 15;
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}
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doc.setFont('helvetica', 'bold');
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doc.text('User', 10, y);
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doc.setFont('helvetica', 'normal');
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doc.setFontSize(10);
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doc.setTextColor(120);
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doc.text(
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`${new Date(section.createdAt as string).toLocaleString()}`,
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40,
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y
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);
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y += 6;
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doc.setTextColor(30);
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doc.setFontSize(12);
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const userLines = doc.splitTextToSize(String(section.query), 180);
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for (const line of userLines) {
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if (y > pageHeight - 20) {
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doc.addPage();
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y = 15;
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}
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doc.text(line, 12, y);
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y += 6;
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}
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y += 6;
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doc.setDrawColor(230);
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if (y > pageHeight - 10) {
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doc.addPage();
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y = 15;
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}
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doc.line(10, y, 200, y);
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y += 4;
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if (section.responseBlocks?.length) {
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const text =
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section.parsedTextBlocks?.join('\n') ??
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section.responseBlocks.find((b) => b.type === 'text')?.data ??
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'';
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if (text && y < pageHeight - 30) {
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doc.setFont('helvetica', 'bold');
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doc.text('Assistant', 10, y);
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doc.setFont('helvetica', 'normal');
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doc.setFontSize(10);
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doc.setTextColor(120);
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doc.text(
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`${new Date(section.createdAt as string).toLocaleString()}`,
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40,
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y
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);
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y += 6;
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doc.setTextColor(30);
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doc.setFontSize(12);
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const assistantLines = doc.splitTextToSize(String(text), 180);
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for (const line of assistantLines) {
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if (y > pageHeight - 20) {
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doc.addPage();
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y = 15;
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}
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doc.text(line, 12, y);
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y += 6;
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}
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const sourceBlock = section.responseBlocks.find(
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(b) => b.type === 'source'
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);
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const sources = (sourceBlock?.data as { metadata?: { url?: string } }[]) ?? [];
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if (sources.length && y < pageHeight - 20) {
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doc.setFontSize(11);
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doc.setTextColor(80);
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doc.text('Citations:', 12, y);
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y += 5;
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for (const src of sources) {
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const url = src.metadata?.url ?? '';
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if (y > pageHeight - 15) {
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doc.addPage();
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y = 15;
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}
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doc.text(`- ${url}`, 15, y);
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y += 5;
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}
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doc.setTextColor(30);
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}
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y += 6;
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}
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doc.setDrawColor(230);
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if (y > pageHeight - 10) {
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doc.addPage();
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y = 15;
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}
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doc.line(10, y, 200, y);
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y += 4;
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}
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}
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return Buffer.from(doc.output('arraybuffer'));
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}
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app.get('/health', async () => ({ status: 'ok' }));
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app.get('/metrics', async (_req, reply) => {
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reply.header('Content-Type', 'text/plain; charset=utf-8');
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return reply.send('# HELP gooseek_up Service is up (1) or down (0)\n# TYPE gooseek_up gauge\ngooseek_up 1\n');
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});
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app.get('/ready', async () => ({ status: 'ready' }));
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const createBodySchema = z.object({
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type: z.enum(['table', 'dashboard', 'image']),
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prompt: z.string().min(1),
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context: z.string().optional(),
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});
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app.post<{ Body: unknown }>('/api/v1/create', async (req, reply) => {
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const parsed = createBodySchema.safeParse(req.body);
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if (!parsed.success) {
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return reply.status(400).send({
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error: 'Invalid request body',
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issues: parsed.error.issues,
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});
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}
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const { type, prompt, context } = parsed.data;
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const apiKey = process.env.OPENAI_API_KEY ?? '';
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if (type === 'image') {
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if (!apiKey) {
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return reply.status(503).send({
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error: 'OPENAI_API_KEY not configured',
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message: 'Image generation requires OPENAI_API_KEY',
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});
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}
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try {
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const imgRes = await fetch('https://api.openai.com/v1/images/generations', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${apiKey}`,
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},
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body: JSON.stringify({
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model: 'dall-e-3',
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prompt: context ? `${prompt}\n\nContext:\n${context}` : prompt,
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n: 1,
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size: '1024x1024',
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quality: 'standard',
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style: 'vivid',
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}),
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signal: AbortSignal.timeout(120000),
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});
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if (!imgRes.ok) {
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const err = await imgRes.text();
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req.log.warn({ status: imgRes.status, err }, 'DALL·E error');
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return reply.status(502).send({
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error: 'Image generation failed',
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message: 'DALL·E API error',
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});
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}
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const imgData = (await imgRes.json()) as { data?: { url?: string; b64_json?: string }[] };
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const first = imgData.data?.[0];
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const url = first?.url ?? null;
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const b64 = first?.b64_json ?? null;
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return reply.send({
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type: 'image',
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data: null,
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url,
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b64: b64 ?? undefined,
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format: 'png',
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});
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} catch (err) {
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req.log.error(err);
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return reply.status(500).send({
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error: 'Image generation failed',
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message: err instanceof Error ? err.message : 'Unknown error',
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});
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}
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}
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if (!apiKey) {
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return reply.status(503).send({
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error: 'OPENAI_API_KEY not configured',
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message: 'Create requires OPENAI_API_KEY for table/dashboard generation',
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});
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}
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try {
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const sysPrompt =
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type === 'table'
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? 'Generate a markdown table. Return ONLY valid markdown, no explanation. Use | for columns, --- for header separator.'
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: 'Generate dashboard data: a JSON object with title, description, and rows (array of objects). Return ONLY valid JSON.';
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const content = context ? `${prompt}\n\nContext:\n${context}` : prompt;
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const res = await fetch('https://api.openai.com/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${apiKey}`,
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},
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body: JSON.stringify({
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model: 'gpt-4o-mini',
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messages: [
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{ role: 'system', content: sysPrompt },
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{ role: 'user', content },
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],
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max_tokens: 2000,
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temperature: 0.2,
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}),
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signal: AbortSignal.timeout(30000),
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});
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if (!res.ok) {
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const err = await res.text();
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req.log.warn({ status: res.status, err }, 'OpenAI create error');
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return reply.status(502).send({
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error: 'LLM request failed',
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message: 'Could not generate content',
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});
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}
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const data = (await res.json()) as { choices?: { message?: { content?: string } }[] };
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const raw = data.choices?.[0]?.message?.content?.trim() ?? '';
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if (type === 'table') {
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return reply.send({
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type: 'table',
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data: raw,
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url: null,
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format: 'markdown',
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});
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}
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let dashboard = raw;
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try {
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const jsonStart = raw.indexOf('{');
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if (jsonStart >= 0) {
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const jsonStr = raw.slice(jsonStart);
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const end = jsonStr.lastIndexOf('}') + 1;
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dashboard = jsonStr.slice(0, end);
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}
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JSON.parse(dashboard);
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} catch {
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dashboard = JSON.stringify({
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title: 'Dashboard',
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description: prompt,
|
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rows: [{ raw }],
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});
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}
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return reply.send({
|
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type: 'dashboard',
|
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data: dashboard,
|
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url: null,
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});
|
||||
} catch (err) {
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||||
req.log.error(err);
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return reply.status(500).send({
|
||||
error: 'Create failed',
|
||||
message: err instanceof Error ? err.message : 'Unknown error',
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||||
});
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||||
}
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||||
});
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||||
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||||
app.post<{ Body: unknown }>('/api/v1/export', async (req, reply) => {
|
||||
const parsed = exportBodySchema.safeParse(req.body);
|
||||
if (!parsed.success) {
|
||||
return reply.status(400).send({
|
||||
error: 'Invalid request body',
|
||||
issues: parsed.error.issues,
|
||||
});
|
||||
}
|
||||
const { format, title, sections } = parsed.data;
|
||||
|
||||
if (!sections.length) {
|
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return reply.status(400).send({ error: 'sections array is required and must not be empty' });
|
||||
}
|
||||
|
||||
try {
|
||||
if (format === 'md') {
|
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const md = buildMarkdown(title, sections);
|
||||
return reply
|
||||
.header('Content-Type', 'text/markdown')
|
||||
.header('Content-Disposition', `attachment; filename="${title || 'chat'}.md"`)
|
||||
.send(md);
|
||||
}
|
||||
|
||||
const pdfBuffer = buildPDF(title, sections);
|
||||
return reply
|
||||
.header('Content-Type', 'application/pdf')
|
||||
.header('Content-Disposition', `attachment; filename="${title || 'chat'}.pdf"`)
|
||||
.send(pdfBuffer);
|
||||
} catch (err) {
|
||||
req.log.error(err);
|
||||
return reply.status(500).send({ error: 'Export failed' });
|
||||
}
|
||||
});
|
||||
|
||||
try {
|
||||
await app.listen({ port: PORT, host: '0.0.0.0' });
|
||||
console.log('create-svc listening on :' + PORT);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
process.exit(1);
|
||||
}
|
||||
13
services/create-svc/tsconfig.json
Normal file
13
services/create-svc/tsconfig.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2022",
|
||||
"module": "NodeNext",
|
||||
"moduleResolution": "NodeNext",
|
||||
"outDir": "dist",
|
||||
"rootDir": "src",
|
||||
"strict": true,
|
||||
"skipLibCheck": true
|
||||
},
|
||||
"include": ["src/**/*"],
|
||||
"exclude": ["node_modules", "dist"]
|
||||
}
|
||||
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Block a user