V4.6.6-2 (#673)
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Archer
199
packages/service/common/vectorStore/pg/controller.ts
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199
packages/service/common/vectorStore/pg/controller.ts
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/* pg vector crud */
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import { PgDatasetTableName } from '@fastgpt/global/common/vectorStore/constants';
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import { delay } from '@fastgpt/global/common/system/utils';
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import { PgClient, connectPg } from './index';
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import { PgSearchRawType } from '@fastgpt/global/core/dataset/api';
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import { EmbeddingRecallItemType } from '../type';
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import { DeleteDatasetVectorProps, EmbeddingRecallProps } from '../controller.d';
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import dayjs from 'dayjs';
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export async function initPg() {
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try {
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await connectPg();
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await PgClient.query(`
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CREATE EXTENSION IF NOT EXISTS vector;
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CREATE TABLE IF NOT EXISTS ${PgDatasetTableName} (
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id BIGSERIAL PRIMARY KEY,
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vector VECTOR(1536) NOT NULL,
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team_id VARCHAR(50) NOT NULL,
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tmb_id VARCHAR(50) NOT NULL,
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dataset_id VARCHAR(50) NOT NULL,
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collection_id VARCHAR(50) NOT NULL,
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data_id VARCHAR(50) NOT NULL,
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createTime TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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CREATE INDEX IF NOT EXISTS vector_index ON ${PgDatasetTableName} USING hnsw (vector vector_ip_ops) WITH (m = 32, ef_construction = 64);
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`);
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console.log('init pg successful');
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} catch (error) {
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console.log('init pg error', error);
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}
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}
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export const insertDatasetDataVector = async (props: {
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teamId: string;
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tmbId: string;
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datasetId: string;
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collectionId: string;
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dataId: string;
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vectors: number[][];
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retry?: number;
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}): Promise<{ insertId: string }> => {
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const { dataId, teamId, tmbId, datasetId, collectionId, vectors, retry = 3 } = props;
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try {
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const { rows } = await PgClient.insert(PgDatasetTableName, {
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values: [
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[
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{ key: 'vector', value: `[${vectors[0]}]` },
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{ key: 'team_id', value: String(teamId) },
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{ key: 'tmb_id', value: String(tmbId) },
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{ key: 'dataset_id', value: datasetId },
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{ key: 'collection_id', value: collectionId },
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{ key: 'data_id', value: String(dataId) }
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]
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]
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});
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return {
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insertId: rows[0].id
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};
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} catch (error) {
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if (retry <= 0) {
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return Promise.reject(error);
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}
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await delay(500);
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return insertDatasetDataVector({
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...props,
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retry: retry - 1
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});
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}
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};
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export const updateDatasetDataVector = async (props: {
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id: string;
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vectors: number[][];
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retry?: number;
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}): Promise<void> => {
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const { id, vectors, retry = 2 } = props;
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try {
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// update pg
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await PgClient.update(PgDatasetTableName, {
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where: [['id', id]],
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values: [{ key: 'vector', value: `[${vectors[0]}]` }]
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});
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} catch (error) {
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if (retry <= 0) {
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return Promise.reject(error);
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}
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await delay(500);
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return updateDatasetDataVector({
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...props,
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retry: retry - 1
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});
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}
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};
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export const deleteDatasetDataVector = async (
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props: DeleteDatasetVectorProps & {
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retry?: number;
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}
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): Promise<any> => {
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const { id, datasetIds, collectionIds, dataIds, retry = 2 } = props;
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const where = await (() => {
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if (id) return `id=${id}`;
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if (datasetIds) return `dataset_id IN (${datasetIds.map((id) => `'${String(id)}'`).join(',')})`;
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if (collectionIds)
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return `collection_id IN (${collectionIds.map((id) => `'${String(id)}'`).join(',')})`;
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if (dataIds) return `data_id IN (${dataIds.map((id) => `'${String(id)}'`).join(',')})`;
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return Promise.reject('deleteDatasetData: no where');
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})();
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try {
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await PgClient.delete(PgDatasetTableName, {
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where: [where]
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});
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} catch (error) {
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if (retry <= 0) {
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return Promise.reject(error);
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}
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await delay(500);
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return deleteDatasetDataVector({
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...props,
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retry: retry - 1
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});
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}
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};
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export const embeddingRecall = async (
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props: EmbeddingRecallProps & {
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vectors: number[][];
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limit: number;
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retry?: number;
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}
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): Promise<{
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results: EmbeddingRecallItemType[];
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}> => {
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const { vectors, limit, similarity = 0, datasetIds, retry = 2 } = props;
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try {
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const results: any = await PgClient.query(
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`BEGIN;
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SET LOCAL hnsw.ef_search = ${global.systemEnv.pgHNSWEfSearch || 100};
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select id, collection_id, data_id, (vector <#> '[${vectors[0]}]') * -1 AS score
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from ${PgDatasetTableName}
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where dataset_id IN (${datasetIds.map((id) => `'${String(id)}'`).join(',')})
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AND vector <#> '[${vectors[0]}]' < -${similarity}
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order by score desc limit ${limit};
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COMMIT;`
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);
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const rows = results?.[2]?.rows as PgSearchRawType[];
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// concat same data_id
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const filterRows: PgSearchRawType[] = [];
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let set = new Set<string>();
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for (const row of rows) {
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if (!set.has(row.data_id)) {
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filterRows.push(row);
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set.add(row.data_id);
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}
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}
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return {
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results: filterRows.map((item) => ({
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id: item.id,
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collectionId: item.collection_id,
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dataId: item.data_id,
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score: item.score
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}))
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};
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} catch (error) {
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if (retry <= 0) {
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return Promise.reject(error);
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}
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return embeddingRecall(props);
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}
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};
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// bill
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export const getVectorCountByTeamId = async (teamId: string) => {
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const total = await PgClient.count(PgDatasetTableName, {
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where: [['team_id', String(teamId)]]
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});
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return total;
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};
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export const getVectorDataByTime = async (start: Date, end: Date) => {
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const { rows } = await PgClient.query<{ id: string; data_id: string }>(`SELECT id, data_id
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FROM ${PgDatasetTableName}
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WHERE createTime BETWEEN '${dayjs(start).format('YYYY-MM-DD')}' AND '${dayjs(end).format(
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'YYYY-MM-DD 23:59:59'
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)}';
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`);
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return rows.map((item) => ({
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id: item.id,
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dataId: item.data_id
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}));
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};
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