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import { |
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PARQUET_EXPORT_DATASET, |
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PARQUET_EXPORT_HF_TOKEN, |
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PARQUET_EXPORT_SECRET, |
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} from "$env/static/private"; |
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import { collections } from "$lib/server/database"; |
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import type { Message } from "$lib/types/Message"; |
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import { error } from "@sveltejs/kit"; |
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import { pathToFileURL } from "node:url"; |
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import { unlink } from "node:fs/promises"; |
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import { uploadFile } from "@huggingface/hub"; |
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import parquet from "parquetjs"; |
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import { z } from "zod"; |
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export async function POST({ request }) { |
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if (!PARQUET_EXPORT_SECRET || !PARQUET_EXPORT_DATASET || !PARQUET_EXPORT_HF_TOKEN) { |
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throw error(500, "Parquet export is not configured."); |
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} |
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if (request.headers.get("Authorization") !== `Bearer ${PARQUET_EXPORT_SECRET}`) { |
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throw error(403); |
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} |
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const { model } = z |
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.object({ |
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model: z.string(), |
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}) |
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.parse(await request.json()); |
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const schema = new parquet.ParquetSchema({ |
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title: { type: "UTF8" }, |
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created_at: { type: "TIMESTAMP_MILLIS" }, |
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updated_at: { type: "TIMESTAMP_MILLIS" }, |
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messages: { repeated: true, fields: { from: { type: "UTF8" }, content: { type: "UTF8" } } }, |
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}); |
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const fileName = `/tmp/conversations-${new Date().toJSON().slice(0, 10)}-${Date.now()}.parquet`; |
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const writer = await parquet.ParquetWriter.openFile(schema, fileName); |
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let count = 0; |
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console.log("Exporting conversations for model", model); |
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for await (const conversation of collections.settings.aggregate<{ |
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title: string; |
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created_at: Date; |
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updated_at: Date; |
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messages: Message[]; |
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}>([ |
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{ $match: { shareConversationsWithModelAuthors: true } }, |
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{ |
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$lookup: { |
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from: "conversations", |
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localField: "sessionId", |
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foreignField: "sessionId", |
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as: "conversations", |
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pipeline: [{ $match: { model } }], |
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}, |
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}, |
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{ $unwind: "$conversations" }, |
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{ |
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$project: { |
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title: "$conversations.title", |
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created_at: "$conversations.createdAt", |
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updated_at: "$conversations.updatedAt", |
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messages: "$conversations.messages", |
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}, |
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}, |
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])) { |
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await writer.appendRow({ |
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title: conversation.title, |
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created_at: conversation.created_at, |
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updated_at: conversation.updated_at, |
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messages: conversation.messages.map((message: Message) => ({ |
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from: message.from, |
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content: message.content, |
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})), |
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}); |
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++count; |
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if (count % 1_000 === 0) { |
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console.log("Exported", count, "conversations"); |
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} |
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} |
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await writer.close(); |
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console.log("Uploading", fileName, "to Hugging Face Hub"); |
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await uploadFile({ |
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file: pathToFileURL(fileName), |
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credentials: { accessToken: PARQUET_EXPORT_HF_TOKEN }, |
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repo: { |
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type: "dataset", |
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name: PARQUET_EXPORT_DATASET, |
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}, |
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}); |
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console.log("Upload done"); |
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await unlink(fileName); |
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return new Response(); |
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} |
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