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feat: complete the apis of vector store and file
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
| export const ANTHROPIC = "anthropic"; | ||
| export const OLLAMA = "ollama"; | ||
| export const OPENAI = "openai"; | ||
| export const GOOGLE = "google"; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -16,7 +16,8 @@ | |
| "imports": { | ||
| "$/": "./", | ||
| "$fresh/": "https://deno.land/x/[email protected]/", | ||
| "$open-schemas/": "https://deno.land/x/[email protected]/", | ||
| "$open-schemas/": "https://deno.land/x/[email protected]/", | ||
| "$postgres/": "https://deno.land/x/[email protected]/", | ||
| "$std/": "https://deno.land/[email protected]/", | ||
| "@open-schemas/zod": "jsr:@open-schemas/zod@^0.10.2", | ||
| "@std/assert": "jsr:@std/assert@^0.221.0", | ||
|
|
||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,186 @@ | ||
| import { kv } from "$/repositories/base.ts"; | ||
| import { VectorStoreRepository } from "$/repositories/vector_store.ts"; | ||
| import { VectorStoreFileRepository } from "$/repositories/vector_store_file.ts"; | ||
| import { NotFound } from "$/utils/errors.ts"; | ||
| import * as log from "$std/log/mod.ts"; | ||
| import { Jina } from "$/providers/reader/jina.ts"; | ||
| import { getClient } from "$/providers/embedding/client.ts"; | ||
| import { | ||
| StaticChunkingStrategy, | ||
| VectorStoreFileObject, | ||
| } from "$/schemas/openai/mod.ts"; | ||
| import Tokeniser from "$/providers/tokeniser/open_tokeniser.ts"; | ||
| import { VectorStoreRecord } from "$/types/open_assistant/mod.ts"; | ||
| import VectorDb from "$/providers/vector_db/pgvector.ts"; | ||
|
|
||
| const LOG_TAG = "[VectorStoreFileJob]"; | ||
|
|
||
| export class VectorStoreFileJob { | ||
| private static async getFileContent( | ||
| vsf: VectorStoreFileObject, | ||
| ): Promise<{ fileName: string; content: string }> { | ||
| if (vsf.type === "url") { | ||
| const { title, content } = await Jina.read(vsf.url as string); | ||
| return { | ||
| fileName: title, | ||
| content, | ||
| }; | ||
| } | ||
| return { | ||
| fileName: "", | ||
| content: "", | ||
| }; | ||
| } | ||
|
|
||
| private static async chunkFileContent( | ||
| content: string, | ||
| strategy: StaticChunkingStrategy, | ||
| ) { | ||
| const { static: staticStrategy } = strategy; | ||
| return await Tokeniser.createChunks( | ||
| content, | ||
| staticStrategy.max_chunk_size_tokens, | ||
| staticStrategy.chunk_overlap_tokens, | ||
| ); | ||
| } | ||
|
|
||
| private static async embedContent( | ||
| chunks: string[], | ||
| fileId: string, | ||
| fileName: string, | ||
| ) { | ||
| const embeddingClient = await getClient(); | ||
| const embeddingsData = chunks.map(async (content: string) => { | ||
| const { data: [embedding] } = await embeddingClient.createEmbedding({ | ||
| input: content, | ||
| model: "models/text-embedding-004", | ||
| }); | ||
|
|
||
| return { | ||
| file_id: fileId, | ||
| file_name: fileName, | ||
| content, | ||
| embedding: embedding.embedding, | ||
| } as VectorStoreRecord; | ||
| }); | ||
| return await Promise.all(embeddingsData); | ||
| } | ||
|
|
||
| private static async index( | ||
| organization: string, | ||
| vectorStoreId: string, | ||
| fileId: string, | ||
| ) { | ||
| const logName = `vector store(${vectorStoreId}) and file(${fileId})`; | ||
| log.info(`${LOG_TAG} start {index} action for ${logName}`); | ||
|
|
||
| const vsfRepo = VectorStoreFileRepository.getInstance(); | ||
| const vsRepo = VectorStoreRepository.getInstance(); | ||
| let vsf, vs; | ||
| try { | ||
| vsf = await vsfRepo.findById(fileId, vectorStoreId); | ||
| vs = await vsRepo.findById(vectorStoreId, organization); | ||
| } catch (e) { | ||
| log.error(`${LOG_TAG} find ${logName} with ${e}`); | ||
| } | ||
| if (!vsf || !vs) return; | ||
|
|
||
| const { fileName, content } = await this.getFileContent(vsf); | ||
| const chunks = await this.chunkFileContent( | ||
| content, | ||
| vsf.chunking_strategy as StaticChunkingStrategy, | ||
| ); | ||
| const records = await this.embedContent( | ||
| chunks.map((c) => c.content), | ||
| fileId, | ||
| fileName, | ||
| ); | ||
| await VectorDb.insert(vectorStoreId, records); | ||
|
|
||
| try { | ||
| const operation = kv.atomic(); | ||
| vsfRepo.update( | ||
| vsf, | ||
| { | ||
| status: "completed", | ||
| }, | ||
| vectorStoreId, | ||
| operation, | ||
| ); | ||
| vsRepo.update( | ||
| vs, | ||
| { | ||
| file_counts: { | ||
| ...vs.file_counts, | ||
| in_progress: vs.file_counts.in_progress - 1, | ||
| completed: vs.file_counts.completed + 1, | ||
| }, | ||
| usage_bytes: await VectorDb.size(vectorStoreId), | ||
| }, | ||
| organization, | ||
| operation, | ||
| ); | ||
| await operation.commit(); | ||
| log.info(`${LOG_TAG} completed {index} action for ${logName}`); | ||
| } catch (e) { | ||
| switch (e.constructor) { | ||
| case NotFound: | ||
| log.error(`${LOG_TAG} ${logName} were not found`); | ||
| return; | ||
| } | ||
| } | ||
| } | ||
|
|
||
| private static async delete( | ||
| organization: string, | ||
| vectorStoreId: string, | ||
| fileId: string, | ||
| ) { | ||
| const logName = `vector store(${vectorStoreId}) and file(${fileId})`; | ||
| log.info(`${LOG_TAG} start {delete} action for ${logName}`); | ||
| const vsfRepo = VectorStoreFileRepository.getInstance(); | ||
| const vsRepo = VectorStoreRepository.getInstance(); | ||
| let vsf, vs; | ||
| try { | ||
| vsf = await vsfRepo.findById(fileId, vectorStoreId); | ||
| vs = await vsRepo.findById(vectorStoreId, organization); | ||
| } catch (e) { | ||
| log.error(`${LOG_TAG} find ${logName} with ${e}`); | ||
| } | ||
| if (!vsf || !vs) return; | ||
|
|
||
| await VectorDb.delete(vectorStoreId, fileId); | ||
|
|
||
| vsRepo.update( | ||
| vs, | ||
| { | ||
| usage_bytes: await VectorDb.size(vectorStoreId), | ||
| file_counts: { | ||
| ...vs.file_counts, | ||
| [vsf.status]: vs.file_counts[vsf.status] - 1, | ||
| total: vs.file_counts.total - 1, | ||
| }, | ||
| }, | ||
| organization, | ||
| ); | ||
|
|
||
| log.info(`${LOG_TAG} start {delete} action for ${logName}`); | ||
| } | ||
|
|
||
| public static async execute(args: { | ||
| organization: string; | ||
| vectorStoreId: string; | ||
| fileId: string; | ||
| action: "index" | "delete"; | ||
| }) { | ||
| const { action, vectorStoreId, organization, fileId } = args; | ||
| switch (action) { | ||
| case "index": | ||
| await this.index(organization, vectorStoreId, fileId); | ||
| break; | ||
| case "delete": | ||
| await this.delete(organization, vectorStoreId, fileId); | ||
| break; | ||
| } | ||
| } | ||
| } |
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