Files
mchat/ai-chat-service/chat-server/vector-data/pgvector.go
2026-04-04 22:39:16 +08:00

122 lines
3.0 KiB
Go

package vector_data
import (
"ai-chat-service/pkg/config"
"ai-chat-service/services/embedding"
"context"
"fmt"
"strconv"
"strings"
"time"
"github.com/jackc/pgx"
)
type pgvectorChatRecordsData struct {
config *config.Config
pool *pgx.ConnPool
embedder embedding.Embedder
}
func newPgvectorChatRecordsData(config *config.Config) (IChatRecordsData, error) {
connConfig, err := pgx.ParseConnectionString(config.Vector.Pgvector.DSN)
if err != nil {
return nil, err
}
pool, err := pgx.NewConnPool(pgx.ConnPoolConfig{
ConnConfig: connConfig,
MaxConnections: config.Vector.Pgvector.MaxOpenConn,
})
if err != nil {
return nil, err
}
embedder, err := embedding.NewEmbedder(config)
if err != nil {
pool.Close()
return nil, err
}
return &pgvectorChatRecordsData{
config: config,
pool: pool,
embedder: embedder,
}, nil
}
func (data *pgvectorChatRecordsData) UpsertData(ctx context.Context, list []*ChatRecord) error {
table := data.config.Vector.Pgvector.Table
if table == "" {
table = "chat_record_vectors"
}
for _, item := range list {
recordID, err := strconv.ParseInt(item.ID, 10, 64)
if err != nil {
return err
}
keywordsText := embedding.BuildText(item.KVs["keywords"])
if keywordsText == "" {
continue
}
vector, err := data.embedder.Embed(ctx, keywordsText)
if err != nil {
return err
}
commandTag, err := data.pool.Exec(
fmt.Sprintf(
"INSERT INTO %s (record_id, keywords_text, embedding, created_at) VALUES ($1, $2, $3::vector, $4) ON CONFLICT (record_id) DO UPDATE SET keywords_text = EXCLUDED.keywords_text, embedding = EXCLUDED.embedding, created_at = EXCLUDED.created_at",
table,
),
recordID,
keywordsText,
vectorLiteral(vector),
time.Now().Unix(),
)
if err != nil {
return err
}
if commandTag.RowsAffected() == 0 {
return fmt.Errorf("pgvector upsert affected 0 rows for record_id=%d", recordID)
}
}
return nil
}
func (data *pgvectorChatRecordsData) QueryData(ctx context.Context, text map[string][]string) (id string, score float32, err error) {
keywordsText := embedding.BuildText(text["keywords"]...)
if keywordsText == "" {
return "", 0, nil
}
vector, err := data.embedder.Embed(ctx, keywordsText)
if err != nil {
return "", 0, err
}
table := data.config.Vector.Pgvector.Table
if table == "" {
table = "chat_record_vectors"
}
var recordID int64
err = data.pool.QueryRowEx(
ctx,
fmt.Sprintf(
"SELECT record_id, CAST(1 - (embedding <=> $1::vector) AS real) AS score FROM %s ORDER BY embedding <=> $1::vector LIMIT 1",
table,
),
nil,
vectorLiteral(vector),
).Scan(&recordID, &score)
if err != nil {
if err == pgx.ErrNoRows {
return "", 0, nil
}
return "", 0, err
}
return strconv.FormatInt(recordID, 10), score, nil
}
func vectorLiteral(values []float32) string {
parts := make([]string, 0, len(values))
for _, value := range values {
parts = append(parts, strconv.FormatFloat(float64(value), 'f', -1, 32))
}
return "[" + strings.Join(parts, ",") + "]"
}