rag/dao/document_chunk.go

package dao

import (
	"context"
	"fmt"
	"rag/consts/public"
	"rag/model/dto"
	"rag/model/entity"

	"gitea.com/red-future/common/db/gfdb"
	"gitea.com/red-future/common/full-text-search/meilisearch"
	"github.com/gogf/gf/v2/database/gdb"
	"github.com/gogf/gf/v2/text/gstr"
	"github.com/gogf/gf/v2/util/gconv"
	"github.com/pgvector/pgvector-go"
)

var DocumentChunk = new(documentChunkDao)

type documentChunkDao struct{}

// BatchInsert 批量插入文件块
func (d *documentChunkDao) BatchInsert(ctx context.Context, req []*dto.VectorDocumentChunkMsg) (rows int64, err error) {
	var res []*entity.DocumentChunk
	if err = gconv.Structs(req, &res); err != nil {
		return
	}
	r, err := gfdb.DB(ctx, public.DbNameVector).Model(ctx, public.TableNameDocumentChunk).Data(&res).Insert()
	if err != nil {
		return
	}
	return r.RowsAffected()
}

// Update 更新文件块
func (d *documentChunkDao) Update(ctx context.Context, req *dto.UpdateDocumentChunkReq) (rows int64, err error) {
	model := gfdb.DB(ctx, public.DbNameVector).Model(ctx, public.TableNameDocumentChunk)
	r, err := model.Data(&req).Where(entity.DocumentChunkCol.Id, req.Id).Update()
	if err != nil {
		return
	}
	return r.RowsAffected()
}

// List 文件块列表
func (d *documentChunkDao) List(ctx context.Context, req *dto.ListDocumentChunkReq, fields ...string) (res []*entity.DocumentChunk, total int, err error) {
	model := gfdb.DB(ctx, public.DbNameVector).Model(ctx, public.TableNameDocumentChunk).Fields(fields).OmitEmpty().
		Where(entity.DocumentChunkCol.DatasetId, req.DatasetId).
		Where(entity.DocumentChunkCol.DocumentId, req.DocumentId).
		Where(entity.DocumentChunkCol.Status, req.Status).
		Where(entity.DocumentChunkCol.VectorStatus, req.VectorStatus).
		OrderDesc(entity.DocumentChunkCol.CreatedAt)
	if req.Page != nil {
		model.Page(int(req.Page.PageNum), int(req.Page.PageSize))
	}
	r, total, err := model.AllAndCount(false)
	if err != nil {
		return
	}
	err = r.Structs(&res)
	return
}

func (d *documentChunkDao) GetAllByVector(ctx context.Context, datasetId []int64, queryVec pgvector.Vector, topK int) (list gdb.List, err error) {
	sql := `
	SELECT id, content, dataset_id, document_id,
	       vector <-> ? AS distance
	FROM rag_vector_document_chunk
	WHERE dataset_id IN (?)       
	  AND vector IS NOT NULL
	ORDER BY distance ASC
	LIMIT ?
`
	// 顺序：vector, dataset_id, topK
	result, err := gfdb.DB(ctx, public.DbNameVector).GetAll(ctx, sql, queryVec, datasetId, topK)
	if err != nil {
		return nil, err
	}

	return result.List(), nil
}

// SearchByKeywords 通过关键词全文检索文档块
func (d *documentChunkDao) SearchByKeywords(ctx context.Context, query string, datasetIds []int64, topK int) (list gdb.List, err error) {
	// 构建 meilisearch 查询参数
	searchParams := &meilisearch.SearchParams{
		Query: query,
		Limit: int64(topK),
	}

	// 构建 datasetIds 过滤条件
	if len(datasetIds) > 0 {
		datasetIdStrs := gconv.Strings(datasetIds)
		quotedIds := make([]string, len(datasetIdStrs))
		for i, id := range datasetIdStrs {
			quotedIds[i] = fmt.Sprintf("%s", id)
		}
		searchParams.Filter = fmt.Sprintf("dataset_id IN [%s]", gstr.Implode(", ", quotedIds))
	}

	// 执行搜索
	var hits []map[string]interface{}
	_, err = meilisearch.DB().Search(ctx, searchParams, public.IndexNameDocumentChunk, &hits)
	if err != nil {
		return nil, err
	}

	// 转换查询结果为 gdb.List
	resultList := make(gdb.List, 0, len(hits))
	for _, hit := range hits {
		resultList = append(resultList, hit)
	}

	return resultList, nil
}