service 修改 Redis 存储 KV
This commit is contained in:
@@ -1,20 +0,0 @@
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package chat_context
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import "github.com/sashabaranov/go-openai"
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type ChatMessage struct {
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//当前记录ID
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ID string `json:"id,omitempty"`
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//上一条记录ID
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PID string `json:"pid,omitempty"`
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//消息内容
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Message openai.ChatCompletionMessage `json:"message"`
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//该消息tokens数
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Tokens int `json:"tokens,omitempty"`
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}
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type ContextCache interface {
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Get(key string) (*ChatMessage, error)
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Set(key string, value *ChatMessage, ttl int) error
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Close()
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}
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@@ -1,51 +0,0 @@
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package chat_context
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import (
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predis "ai-chat-service/pkg/db/redis"
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"context"
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"encoding/json"
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"time"
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"github.com/redis/go-redis/v9"
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)
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type redisCache struct {
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redisClient *redis.Client
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}
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func NewRedisCache() ContextCache {
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pool := predis.GetPool()
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return &redisCache{
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redisClient: pool.Get(),
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}
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}
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func getRedisKey(key string) string {
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return predis.GetKey(key)
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}
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func (c *redisCache) Get(key string) (*ChatMessage, error) {
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key = getRedisKey(key)
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str, err := c.redisClient.Get(context.Background(), key).Result()
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if err == redis.Nil {
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return nil, nil
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}
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if err != nil {
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return nil, err
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}
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value := &ChatMessage{}
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err = json.Unmarshal([]byte(str), value)
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return value, err
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}
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func (c *redisCache) Set(key string, value *ChatMessage, ttl int) error {
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key = getRedisKey(key)
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bytes, err := json.Marshal(value)
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if err != nil {
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return err
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}
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str := string(bytes)
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return c.redisClient.SetEx(context.Background(), key, str, time.Duration(ttl)*time.Second).Err()
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}
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func (c *redisCache) Close() {
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pool := predis.GetPool()
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pool.Put(c.redisClient)
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}
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@@ -1,54 +1,59 @@
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package data
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import (
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"database/sql"
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"strings"
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predis "ai-chat-service/pkg/db/redis"
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"context"
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"encoding/json"
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redis "github.com/redis/go-redis/v9"
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)
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type IChatRecordsData interface {
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Add(record *ChatRecord) error
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GetById(id int64) (record *ChatRecord, err error)
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GetById(id string) (record *ChatRecord, err error)
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}
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type ChatRecord struct {
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ID int64 `json:"id"`
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UserMsg string `json:"user_msg"`
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UserMsgTokens int `json:"user_msg_tokens"`
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UserMsgKeywords []string `json:"user_msg_keywords"`
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AIMsg string `json:"ai_msg"`
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AIMsgTokens int `json:"ai_msg_tokens"`
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ReqTokens int `json:"req_tokens"`
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CreateAt int64 `json:"create_at"`
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ID string `json:"-"`
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Question string `json:"q"`
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Answer string `json:"a"`
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}
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type chatRecordsData struct {
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db *sql.DB
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type chatRecordsData struct{}
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func NewChatRecordsData() IChatRecordsData {
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return &chatRecordsData{}
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}
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func NewChatRecordsData(db *sql.DB) IChatRecordsData {
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return &chatRecordsData{
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db: db,
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}
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}
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func (data *chatRecordsData) Add(record *ChatRecord) error {
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client := predis.GetPool().Get()
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defer predis.GetPool().Put(client)
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func (data *chatRecordsData) Add(cr *ChatRecord) (err error) {
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sqlStr := "insert into chat_records(user_msg,user_msg_tokens,user_msg_keywords,ai_msg,ai_msg_tokens,req_tokens,create_at)values(?,?,?,?,?,?,?)"
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res, err := data.db.Exec(sqlStr, cr.UserMsg, cr.UserMsgTokens, strings.Join(cr.UserMsgKeywords, ","), cr.AIMsg, cr.AIMsgTokens, cr.ReqTokens, cr.CreateAt)
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payload, err := json.Marshal(&ChatRecord{
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Question: record.Question,
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Answer: record.Answer,
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})
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if err != nil {
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return
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return err
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}
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cr.ID, _ = res.LastInsertId()
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return
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return client.Set(context.Background(), predis.GetKey("qa", record.ID), string(payload), 0).Err()
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}
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func (data *chatRecordsData) GetById(id int64) (cr *ChatRecord, err error) {
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sqlStr := "select id,user_msg,user_msg_tokens,user_msg_keywords,ai_msg,ai_msg_tokens,req_tokens,create_at from chat_records where id = ?"
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row := data.db.QueryRow(sqlStr, id)
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cr = &ChatRecord{}
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var keywords string
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err = row.Scan(&cr.ID, &cr.UserMsg, &cr.UserMsgTokens, &keywords, &cr.AIMsg, &cr.AIMsgTokens, &cr.ReqTokens, &cr.CreateAt)
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func (data *chatRecordsData) GetById(id string) (*ChatRecord, error) {
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client := predis.GetPool().Get()
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defer predis.GetPool().Put(client)
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value, err := client.Get(context.Background(), predis.GetKey("qa", id)).Result()
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if err == redis.Nil {
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return nil, nil
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}
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if err != nil {
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return nil, err
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}
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cr.UserMsgKeywords = strings.Split(keywords, ",")
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return cr, err
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record := &ChatRecord{ID: id}
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if err = json.Unmarshal([]byte(value), record); err != nil {
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return nil, err
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}
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return record, nil
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}
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@@ -5,13 +5,13 @@ import (
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metrics_app "ai-chat-service/chat-server/metrics-app"
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metrics_bus "ai-chat-service/chat-server/metrics-bus"
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"ai-chat-service/chat-server/server"
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vector_data "ai-chat-service/chat-server/vector-data"
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"ai-chat-service/interceptor"
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"ai-chat-service/pkg/config"
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"ai-chat-service/pkg/db/mysql"
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"ai-chat-service/pkg/db/redis"
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"ai-chat-service/pkg/log"
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"ai-chat-service/proto"
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"ai-chat-service/services/embedding"
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"ai-chat-service/services/faiss"
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"flag"
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"fmt"
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"net/http"
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@@ -52,23 +52,22 @@ func main() {
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logger.SetOutput(log.GetRotateWriter(cnf.Log.LogPath))
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logger.SetPrintCaller(true)
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// 初始化Mysql
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mysql.InitMysql(cnf)
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// 初始化redis
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redis.InitRedisPool(cnf)
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recordsData := data.NewChatRecordsData(mysql.GetDB())
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vectorRecordsData, err := vector_data.NewChatRecordsData(cnf)
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recordsData := data.NewChatRecordsData()
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embedder, err := embedding.NewEmbedder(cnf)
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if err != nil {
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log.Fatal(err)
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}
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faissClient := faiss.NewClient(cnf)
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lis, err := net.Listen("tcp", fmt.Sprintf("%s:%d", cnf.Server.IP, cnf.Server.Port))
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if err != nil {
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log.Fatal(err)
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}
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s := grpc.NewServer(grpc.UnaryInterceptor(interceptor.UnaryAuthInterceptor), grpc.StreamInterceptor(metrics_app.NewStreamMiddleware(registry).WrapHandler()))
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service := server.NewChatService(recordsData, vectorRecordsData, cnf, logger, busMetrics)
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service := server.NewChatService(recordsData, embedder, faissClient, cnf, logger, busMetrics)
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proto.RegisterChatServer(s, service)
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healthCheckSrv := health.NewServer()
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@@ -1,7 +1,6 @@
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package server
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import (
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chat_context "ai-chat-service/chat-server/chat-context"
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"ai-chat-service/pkg/config"
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"ai-chat-service/pkg/log"
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"ai-chat-service/pkg/zerror"
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@@ -29,18 +28,15 @@ type openaiConf struct {
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PresencePenalty float32
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FrequencyPenalty float32
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BotDesc string
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ContextTTL int
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ContextLen int
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MinResponseTokens int
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}
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type app struct {
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openaiConf *openaiConf
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log log.ILogger
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// TODO 内容上下文对象
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contextCache chat_context.ContextCache
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}
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func (s *chatService) newApp(in *proto.ChatCompletionRequest, contextCache chat_context.ContextCache) *app {
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func (s *chatService) newApp(in *proto.ChatCompletionRequest) *app {
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conf := &openaiConf{
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ApiKey: s.config.Chat.ApiKey,
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BaseUrl: s.config.Chat.BaseUrl,
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@@ -51,8 +47,6 @@ func (s *chatService) newApp(in *proto.ChatCompletionRequest, contextCache chat_
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PresencePenalty: s.config.Chat.PresencePenalty,
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FrequencyPenalty: s.config.Chat.FrequencyPenalty,
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BotDesc: s.config.Chat.BotDesc,
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ContextTTL: s.config.Chat.ContextTTL,
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ContextLen: s.config.Chat.ContextLen,
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MinResponseTokens: s.config.Chat.MinResponseTokens,
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}
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if in.ChatParam != nil {
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@@ -69,40 +63,29 @@ func (s *chatService) newApp(in *proto.ChatCompletionRequest, contextCache chat_
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if in.ChatParam.MaxTokens != 0 {
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conf.MaxTokens = int(in.ChatParam.MaxTokens)
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}
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if in.ChatParam.ContextTTL != 0 {
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conf.ContextTTL = int(in.ChatParam.ContextTTL)
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}
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if in.ChatParam.ContextLen != 0 {
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conf.ContextLen = int(in.ChatParam.ContextLen)
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}
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if in.ChatParam.MinResponseTokens != 0 {
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conf.MinResponseTokens = int(in.ChatParam.MinResponseTokens)
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}
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}
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return &app{
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openaiConf: conf,
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log: s.log,
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contextCache: contextCache,
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openaiConf: conf,
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log: s.log,
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}
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}
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func (a *app) getOpenaiClient() *openai.Client {
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accessToken := a.openaiConf.ApiKey
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config := openai.DefaultConfig(accessToken)
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config.BaseURL = a.openaiConf.BaseUrl
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client := openai.NewClientWithConfig(config)
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return client
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conf := openai.DefaultConfig(a.openaiConf.ApiKey)
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conf.BaseURL = a.openaiConf.BaseUrl
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return openai.NewClientWithConfig(conf)
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}
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func (a *app) buildChatCompletionRequest(in *proto.ChatCompletionRequest, stream bool) (req openai.ChatCompletionRequest, tokens, currTokens int, currMessage openai.ChatCompletionMessage, err error) {
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//当前消息
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currMessage = openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleUser,
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Content: in.Message,
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}
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req = openai.ChatCompletionRequest{
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Model: a.openaiConf.Model,
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Messages: []openai.ChatCompletionMessage{
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currMessage,
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},
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Model: a.openaiConf.Model,
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MaxTokens: a.openaiConf.MinResponseTokens,
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Temperature: a.openaiConf.Temperature,
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TopP: a.openaiConf.TopP,
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@@ -110,13 +93,7 @@ func (a *app) buildChatCompletionRequest(in *proto.ChatCompletionRequest, stream
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FrequencyPenalty: a.openaiConf.FrequencyPenalty,
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Stream: stream,
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}
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contextList := make([]*chat_context.ChatMessage, 0)
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if in.EnableContext {
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//从缓存中获取上下文信息
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contextList = a.getContext(in.Pid)
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}
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//重构req.Messages
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tokens, currTokens, req.Messages, err = a.rebuildMessages(contextList, currMessage)
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tokens, currTokens, req.Messages, err = a.rebuildMessages(currMessage)
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if err != nil {
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a.log.Error(err)
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return
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@@ -124,51 +101,37 @@ func (a *app) buildChatCompletionRequest(in *proto.ChatCompletionRequest, stream
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req.MaxTokens = a.openaiConf.MaxTokens - tokens
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return
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}
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func (a *app) rebuildMessages(contextList []*chat_context.ChatMessage, currMessage openai.ChatCompletionMessage) (tokens, currTokens int, messages []openai.ChatCompletionMessage, err error) {
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var sysMessage openai.ChatCompletionMessage
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func (a *app) rebuildMessages(currMessage openai.ChatCompletionMessage) (tokens, currTokens int, messages []openai.ChatCompletionMessage, err error) {
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messages = make([]openai.ChatCompletionMessage, 0, 2)
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botTokens := 0
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if a.openaiConf.BotDesc != "" {
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sysMessage = openai.ChatCompletionMessage{
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sysMessage := openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleSystem,
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Content: a.openaiConf.BotDesc,
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}
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botTokens, err = tokenizer.GetTokens(&sysMessage, a.openaiConf.Model)
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if err != nil {
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a.log.Error(err)
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return
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}
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messages = append(messages, sysMessage)
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}
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messages = []openai.ChatCompletionMessage{currMessage}
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currTokens, err = tokenizer.GetTokens(&currMessage, a.openaiConf.Model)
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if err != nil {
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a.log.Error(err)
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return
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}
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if currTokens > a.openaiConf.MaxTokens-a.openaiConf.MinResponseTokens-botTokens-ChatPrimedTokens {
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err = zerror.NewByMsg("请求消息超限")
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a.log.Error(err)
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return
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return 0, 0, nil, zerror.NewByMsg("请求消息超限")
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}
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tokens = currTokens + botTokens + ChatPrimedTokens
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if contextList != nil {
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for _, item := range contextList {
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if tokens+item.Tokens+ChatPrimedTokens > a.openaiConf.MaxTokens-a.openaiConf.MinResponseTokens {
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break
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}
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messages = append(messages, item.Message)
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tokens += item.Tokens + ChatPrimedTokens
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}
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}
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for i, j := 0, len(messages)-1; i < j; i, j = i+1, j-1 {
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messages[i], messages[j] = messages[j], messages[i]
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}
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if botTokens > 0 {
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messages = append([]openai.ChatCompletionMessage{sysMessage}, messages...)
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}
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messages = append(messages, currMessage)
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return
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}
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func (a *app) buildChatCompletionResponse(msg string) *proto.ChatCompletionResponse {
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res := &proto.ChatCompletionResponse{
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return &proto.ChatCompletionResponse{
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Id: uuid.New().String(),
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Object: "chat.completion",
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Created: time.Now().Unix(),
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@@ -182,17 +145,12 @@ func (a *app) buildChatCompletionResponse(msg string) *proto.ChatCompletionRespo
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FinishReason: "stop",
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},
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},
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Usage: &proto.Usage{
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PromptTokens: 0,
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CompletionTokens: 0,
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TotalTokens: 0,
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},
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Usage: &proto.Usage{},
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}
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return res
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}
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func (a *app) buildChatCompletionStreamResponse(id, delta, finishReason string) *proto.ChatCompletionStreamResponse {
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res := &proto.ChatCompletionStreamResponse{
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return &proto.ChatCompletionStreamResponse{
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Id: id,
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Object: "chat.completion.chunk",
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Created: time.Now().Unix(),
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@@ -208,79 +166,49 @@ func (a *app) buildChatCompletionStreamResponse(id, delta, finishReason string)
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},
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},
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}
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return res
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}
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func (a *app) buildChatCompletionStreamResponseList(id, msg string) []*proto.ChatCompletionStreamResponse {
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list := make([]*proto.ChatCompletionStreamResponse, 0)
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list := make([]*proto.ChatCompletionStreamResponse, 0, len(msg))
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for _, delta := range msg {
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list = append(list, a.buildChatCompletionStreamResponse(id, string(delta), ""))
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}
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return list
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}
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func (a *app) getContext(id string) []*chat_context.ChatMessage {
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maxLen := a.openaiConf.ContextLen
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list := make([]*chat_context.ChatMessage, 0, maxLen)
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key := id
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for i := 0; i < maxLen; i++ {
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value, err := a.contextCache.Get(key)
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if err != nil {
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a.log.Error(err)
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return nil
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}
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if value == nil {
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break
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}
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list = append(list, value)
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key = value.PID
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}
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return list
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}
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func (a *app) saveContext(value *chat_context.ChatMessage) error {
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err := a.contextCache.Set(value.ID, value, a.openaiConf.ContextTTL)
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if err != nil {
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a.log.Error(err)
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return err
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}
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return nil
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}
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func (a *app) keywords(in *proto.ChatCompletionRequest) []string {
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pool := keywords_filter.GetKeywordsClientPool()
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conn := pool.Get()
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defer pool.Put(conn)
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accessToken := config.GetConfig().DependOn.Keywords.AccessToken
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client := keywords_proto.NewFilterClient(conn)
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ctx := services.AppendBearerTokenToContext(context.Background(), accessToken)
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req := &keywords_proto.FilterReq{
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Text: in.Message,
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}
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req := &keywords_proto.FilterReq{Text: in.Message}
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res, err := client.FindAll(ctx, req)
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if err != nil {
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a.log.Error(err)
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return []string{}
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}
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return res.Keywords
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}
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func (a *app) sensitive(in *proto.ChatCompletionRequest) (ok bool, msg string, err error) {
|
||||
pool := keywords_filter.GetSensitiveClientPool()
|
||||
conn := pool.Get()
|
||||
defer pool.Put(conn)
|
||||
|
||||
accessToken := config.GetConfig().DependOn.Sensitive.AccessToken
|
||||
client := keywords_proto.NewFilterClient(conn)
|
||||
ctx := services.AppendBearerTokenToContext(context.Background(), accessToken)
|
||||
req := &keywords_proto.FilterReq{
|
||||
Text: in.Message,
|
||||
}
|
||||
req := &keywords_proto.FilterReq{Text: in.Message}
|
||||
res, err := client.Validate(ctx, req)
|
||||
if err != nil {
|
||||
a.log.Error(err)
|
||||
return false, "", err
|
||||
}
|
||||
ok = res.Ok
|
||||
if !ok {
|
||||
msg = "触发到了知识盲区,请换个问题再问"
|
||||
if !res.Ok {
|
||||
return false, "触发到了知识盲区,请换个问题再问", nil
|
||||
}
|
||||
return
|
||||
return true, "", nil
|
||||
}
|
||||
|
||||
@@ -1,20 +1,18 @@
|
||||
package server
|
||||
|
||||
import (
|
||||
chat_context "ai-chat-service/chat-server/chat-context"
|
||||
"ai-chat-service/chat-server/data"
|
||||
metrics_bus "ai-chat-service/chat-server/metrics-bus"
|
||||
vector_data "ai-chat-service/chat-server/vector-data"
|
||||
"ai-chat-service/pkg/config"
|
||||
"ai-chat-service/pkg/log"
|
||||
"ai-chat-service/proto"
|
||||
"ai-chat-service/services/embedding"
|
||||
"ai-chat-service/services/faiss"
|
||||
"ai-chat-service/services/tokenizer"
|
||||
"context"
|
||||
"encoding/json"
|
||||
"io"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/golang/protobuf/jsonpb"
|
||||
"github.com/google/uuid"
|
||||
@@ -26,218 +24,127 @@ type chatService struct {
|
||||
config *config.Config
|
||||
log log.ILogger
|
||||
data data.IChatRecordsData
|
||||
vectorData vector_data.IChatRecordsData
|
||||
embedder embedding.Embedder
|
||||
faiss faiss.Client
|
||||
busMetrics *metrics_bus.BusMetrics
|
||||
}
|
||||
|
||||
func NewChatService(data data.IChatRecordsData, vectorData vector_data.IChatRecordsData, config *config.Config, log log.ILogger, busMetrics *metrics_bus.BusMetrics) proto.ChatServer {
|
||||
func NewChatService(data data.IChatRecordsData, embedder embedding.Embedder, faissClient faiss.Client, config *config.Config, log log.ILogger, busMetrics *metrics_bus.BusMetrics) proto.ChatServer {
|
||||
return &chatService{
|
||||
config: config,
|
||||
log: log,
|
||||
data: data,
|
||||
vectorData: vectorData,
|
||||
embedder: embedder,
|
||||
faiss: faissClient,
|
||||
busMetrics: busMetrics,
|
||||
}
|
||||
}
|
||||
|
||||
func (s *chatService) ChatCompletion(ctx context.Context, in *proto.ChatCompletionRequest) (*proto.ChatCompletionResponse, error) {
|
||||
redisContextCache := chat_context.NewRedisCache()
|
||||
defer redisContextCache.Close()
|
||||
app := s.newApp(in)
|
||||
|
||||
app := s.newApp(in, redisContextCache)
|
||||
//敏感词过滤
|
||||
ok, msg, err := app.sensitive(in)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return nil, err
|
||||
}
|
||||
if !ok {
|
||||
res := app.buildChatCompletionResponse(msg)
|
||||
return res, nil
|
||||
}
|
||||
|
||||
//关键词提取
|
||||
keywords := app.keywords(in)
|
||||
if len(keywords) > 0 {
|
||||
idStr, score, err := s.vectorData.QueryData(context.Background(), map[string][]string{"keywords": {strings.Join(keywords, ",")}})
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
} else if score > s.config.Vector.Threshold {
|
||||
id, err := strconv.ParseInt(idStr, 10, 64)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
} else {
|
||||
record, err := s.data.GetById(id)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
} else {
|
||||
res := app.buildChatCompletionResponse(record.AIMsg)
|
||||
return res, nil
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
client := app.getOpenaiClient()
|
||||
req, tokens, currTokens, currMessage, err := app.buildChatCompletionRequest(in, false)
|
||||
resp, err := client.CreateChatCompletion(ctx, req)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return nil, err
|
||||
}
|
||||
res := &proto.ChatCompletionResponse{}
|
||||
bytes, err := json.Marshal(resp)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return nil, err
|
||||
}
|
||||
err = jsonpb.UnmarshalString(string(bytes), res)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return nil, err
|
||||
}
|
||||
go func() {
|
||||
reqContext := &chat_context.ChatMessage{
|
||||
ID: in.Id,
|
||||
PID: in.Pid,
|
||||
Message: currMessage,
|
||||
Tokens: currTokens,
|
||||
}
|
||||
err := app.saveContext(reqContext)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
resContext := &chat_context.ChatMessage{
|
||||
ID: resp.ID,
|
||||
PID: reqContext.ID,
|
||||
Message: resp.Choices[0].Message,
|
||||
Tokens: resp.Usage.CompletionTokens,
|
||||
}
|
||||
err = app.saveContext(resContext)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
}()
|
||||
go func() {
|
||||
records := &data.ChatRecord{
|
||||
UserMsg: in.Message,
|
||||
UserMsgTokens: currTokens,
|
||||
UserMsgKeywords: keywords,
|
||||
AIMsg: resp.Choices[0].Message.Content,
|
||||
AIMsgTokens: resp.Usage.CompletionTokens,
|
||||
ReqTokens: tokens,
|
||||
CreateAt: time.Now().Unix(),
|
||||
}
|
||||
err := s.data.Add(records)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
//保存到向量数据库
|
||||
if len(keywords) > 0 {
|
||||
list := []*vector_data.ChatRecord{
|
||||
{
|
||||
ID: strconv.FormatInt(records.ID, 10),
|
||||
KVs: map[string]string{
|
||||
"keywords": strings.Join(keywords, ","),
|
||||
},
|
||||
},
|
||||
}
|
||||
err = s.vectorData.UpsertData(context.Background(), list)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
}
|
||||
}()
|
||||
return res, err
|
||||
}
|
||||
func (s *chatService) ChatCompletionStream(in *proto.ChatCompletionRequest, stream proto.Chat_ChatCompletionStreamServer) error {
|
||||
redisContextCache := chat_context.NewRedisCache()
|
||||
defer redisContextCache.Close()
|
||||
|
||||
app := s.newApp(in, redisContextCache)
|
||||
//敏感词过滤
|
||||
ok, msg, err := app.sensitive(in)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return nil, err
|
||||
}
|
||||
if !ok {
|
||||
s.busMetrics.SensitiveQuestionsTotalCounter.Inc()
|
||||
return app.buildChatCompletionResponse(msg), nil
|
||||
}
|
||||
|
||||
keywords := app.keywords(in)
|
||||
if len(keywords) > 0 {
|
||||
s.busMetrics.KeywordsQuestionsTotalCounter.Inc()
|
||||
}
|
||||
|
||||
req, _, _, _, err := app.buildChatCompletionRequest(in, false)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return nil, err
|
||||
}
|
||||
|
||||
questionEmbedding, cachedRecord := s.searchCachedAnswer(ctx, in.Message)
|
||||
if cachedRecord != nil {
|
||||
return app.buildChatCompletionResponse(cachedRecord.Answer), nil
|
||||
}
|
||||
|
||||
client := app.getOpenaiClient()
|
||||
resp, err := client.CreateChatCompletion(ctx, req)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
s.log.Error(err)
|
||||
return nil, err
|
||||
}
|
||||
|
||||
res := &proto.ChatCompletionResponse{}
|
||||
bytes, err := json.Marshal(resp)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return nil, err
|
||||
}
|
||||
if err = jsonpb.UnmarshalString(string(bytes), res); err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if len(resp.Choices) > 0 {
|
||||
if err = s.persistQA(ctx, questionEmbedding, in.Message, resp.Choices[0].Message.Content); err != nil {
|
||||
s.log.Error(err)
|
||||
} else {
|
||||
s.busMetrics.QuestionsTotalCounter.Inc()
|
||||
}
|
||||
}
|
||||
return res, nil
|
||||
}
|
||||
|
||||
func (s *chatService) ChatCompletionStream(in *proto.ChatCompletionRequest, stream proto.Chat_ChatCompletionStreamServer) error {
|
||||
app := s.newApp(in)
|
||||
|
||||
ok, msg, err := app.sensitive(in)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return err
|
||||
}
|
||||
if !ok {
|
||||
s.busMetrics.SensitiveQuestionsTotalCounter.Inc()
|
||||
resId := uuid.New().String()
|
||||
startRes := app.buildChatCompletionStreamResponse(resId, "", "")
|
||||
endRes := app.buildChatCompletionStreamResponse(resId, "", "stop")
|
||||
err = stream.Send(startRes)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
resID := uuid.New().String()
|
||||
if err = stream.Send(app.buildChatCompletionStreamResponse(resID, "", "")); err != nil {
|
||||
return err
|
||||
}
|
||||
resList := app.buildChatCompletionStreamResponseList(resId, msg)
|
||||
for _, res := range resList {
|
||||
err = stream.Send(res)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
for _, res := range app.buildChatCompletionStreamResponseList(resID, msg) {
|
||||
if err = stream.Send(res); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
err = stream.Send(endRes)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return err
|
||||
}
|
||||
return nil
|
||||
return stream.Send(app.buildChatCompletionStreamResponse(resID, "", "stop"))
|
||||
}
|
||||
|
||||
//关键词提取
|
||||
keywords := app.keywords(in)
|
||||
|
||||
if len(keywords) > 0 {
|
||||
s.busMetrics.KeywordsQuestionsTotalCounter.Inc()
|
||||
idStr, score, err := s.vectorData.QueryData(context.Background(), map[string][]string{"keywords": {strings.Join(keywords, ",")}})
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
} else if score > s.config.Vector.Threshold {
|
||||
id, err := strconv.ParseInt(idStr, 10, 64)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
} else {
|
||||
record, err := s.data.GetById(id)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
} else {
|
||||
resId := uuid.New().String()
|
||||
startRes := app.buildChatCompletionStreamResponse(resId, "", "")
|
||||
endRes := app.buildChatCompletionStreamResponse(resId, "", "stop")
|
||||
err = stream.Send(startRes)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return err
|
||||
}
|
||||
resList := app.buildChatCompletionStreamResponseList(resId, record.AIMsg)
|
||||
for _, res := range resList {
|
||||
err = stream.Send(res)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return err
|
||||
}
|
||||
}
|
||||
err = stream.Send(endRes)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return err
|
||||
}
|
||||
return nil
|
||||
}
|
||||
}
|
||||
|
||||
req, _, _, _, err := app.buildChatCompletionRequest(in, true)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return err
|
||||
}
|
||||
|
||||
questionEmbedding, cachedRecord := s.searchCachedAnswer(stream.Context(), in.Message)
|
||||
if cachedRecord != nil {
|
||||
if err = stream.Send(app.buildChatCompletionStreamResponse(cachedRecord.ID, "", "")); err != nil {
|
||||
return err
|
||||
}
|
||||
for _, res := range app.buildChatCompletionStreamResponseList(cachedRecord.ID, cachedRecord.Answer) {
|
||||
if err = stream.Send(res); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
return stream.Send(app.buildChatCompletionStreamResponse(cachedRecord.ID, "", "stop"))
|
||||
}
|
||||
|
||||
client := app.getOpenaiClient()
|
||||
req, tokens, currTokens, currMessage, err := app.buildChatCompletionRequest(in, false)
|
||||
chatStream, err := client.CreateChatCompletionStream(stream.Context(), req)
|
||||
if err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
@@ -245,109 +152,106 @@ func (s *chatService) ChatCompletionStream(in *proto.ChatCompletionRequest, stre
|
||||
return err
|
||||
}
|
||||
defer chatStream.Close()
|
||||
|
||||
completionContent := ""
|
||||
resultID := ""
|
||||
for {
|
||||
resp, err := chatStream.Recv()
|
||||
if err != nil && err != io.EOF {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
s.log.Error(err)
|
||||
return err
|
||||
}
|
||||
if err == io.EOF {
|
||||
break
|
||||
}
|
||||
if resultID == "" {
|
||||
resultID = resp.ID
|
||||
}
|
||||
completionContent += resp.Choices[0].Delta.Content
|
||||
|
||||
res := &proto.ChatCompletionStreamResponse{}
|
||||
bytes, err := json.Marshal(resp)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return err
|
||||
}
|
||||
err = jsonpb.UnmarshalString(string(bytes), res)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
if err = jsonpb.UnmarshalString(string(bytes), res); err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
return err
|
||||
}
|
||||
err = stream.Send(res)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
if err = stream.Send(res); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
|
||||
model := s.config.Chat.Model
|
||||
if in.ChatParam != nil && in.ChatParam.Model != "" {
|
||||
model = in.ChatParam.Model
|
||||
}
|
||||
resultMessage := openai.ChatCompletionMessage{
|
||||
Role: openai.ChatMessageRoleAssistant,
|
||||
Content: completionContent,
|
||||
}
|
||||
model := s.config.Chat.Model
|
||||
if in.ChatParam != nil && in.ChatParam.Model != "" {
|
||||
model = in.ChatParam.Model
|
||||
}
|
||||
resultTokens, err := tokenizer.GetTokens(&resultMessage, model)
|
||||
if err != nil {
|
||||
if _, err = tokenizer.GetTokens(&resultMessage, model); err != nil {
|
||||
s.busMetrics.ErrQuestionsTotalCounter.Inc()
|
||||
s.log.Error(err)
|
||||
return err
|
||||
}
|
||||
|
||||
go func() {
|
||||
reqContext := &chat_context.ChatMessage{
|
||||
ID: in.Id,
|
||||
PID: in.Pid,
|
||||
Message: currMessage,
|
||||
Tokens: currTokens,
|
||||
}
|
||||
err := app.saveContext(reqContext)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
resContext := &chat_context.ChatMessage{
|
||||
ID: resultID,
|
||||
PID: reqContext.ID,
|
||||
Message: resultMessage,
|
||||
Tokens: resultTokens,
|
||||
}
|
||||
err = app.saveContext(resContext)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
}()
|
||||
go func() {
|
||||
if err = s.persistQA(stream.Context(), questionEmbedding, in.Message, completionContent); err != nil {
|
||||
s.log.Error(err)
|
||||
} else {
|
||||
s.busMetrics.QuestionsTotalCounter.Inc()
|
||||
records := &data.ChatRecord{
|
||||
UserMsg: in.Message,
|
||||
UserMsgTokens: currTokens,
|
||||
UserMsgKeywords: keywords,
|
||||
AIMsg: completionContent,
|
||||
AIMsgTokens: resultTokens,
|
||||
ReqTokens: tokens,
|
||||
CreateAt: time.Now().Unix(),
|
||||
}
|
||||
err := s.data.Add(records)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
//保存到向量数据库
|
||||
if len(keywords) > 0 {
|
||||
list := []*vector_data.ChatRecord{
|
||||
{
|
||||
ID: strconv.FormatInt(records.ID, 10),
|
||||
KVs: map[string]string{
|
||||
"keywords": strings.Join(keywords, ","),
|
||||
},
|
||||
},
|
||||
}
|
||||
err = s.vectorData.UpsertData(context.Background(), list)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return
|
||||
}
|
||||
}
|
||||
}()
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func (s *chatService) searchCachedAnswer(ctx context.Context, question string) ([]float32, *data.ChatRecord) {
|
||||
embeddingVector, err := s.embedder.Embed(ctx, question)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return nil, nil
|
||||
}
|
||||
|
||||
searchRes, err := s.faiss.Search(ctx, embeddingVector, s.config.Faiss.SearchK)
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return embeddingVector, nil
|
||||
}
|
||||
if searchRes == nil || len(searchRes.IDs) == 0 || len(searchRes.SimilarityScores) == 0 {
|
||||
return embeddingVector, nil
|
||||
}
|
||||
limit := len(searchRes.IDs)
|
||||
if len(searchRes.SimilarityScores) < limit {
|
||||
limit = len(searchRes.SimilarityScores)
|
||||
}
|
||||
for i := 0; i < limit; i++ {
|
||||
if searchRes.IDs[i] < 0 || searchRes.SimilarityScores[i] < s.config.Faiss.SimilarityThreshold {
|
||||
continue
|
||||
}
|
||||
record, err := s.data.GetById(strconv.FormatInt(searchRes.IDs[i], 10))
|
||||
if err != nil {
|
||||
s.log.Error(err)
|
||||
return embeddingVector, nil
|
||||
}
|
||||
if record != nil {
|
||||
return embeddingVector, record
|
||||
}
|
||||
}
|
||||
return embeddingVector, nil
|
||||
}
|
||||
|
||||
func (s *chatService) persistQA(ctx context.Context, questionEmbedding []float32, question, answer string) error {
|
||||
if len(questionEmbedding) == 0 {
|
||||
vector, err := s.embedder.Embed(ctx, question)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
questionEmbedding = vector
|
||||
}
|
||||
id, err := s.faiss.Insert(ctx, questionEmbedding)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
return s.data.Add(&data.ChatRecord{
|
||||
ID: id,
|
||||
Question: question,
|
||||
Answer: answer,
|
||||
})
|
||||
}
|
||||
|
||||
@@ -1,29 +0,0 @@
|
||||
package vector_data
|
||||
|
||||
import (
|
||||
"ai-chat-service/pkg/config"
|
||||
"context"
|
||||
"fmt"
|
||||
)
|
||||
|
||||
const CHAT_RECORDS = "chat_records"
|
||||
|
||||
type ChatRecord struct {
|
||||
ID string
|
||||
KVs map[string]string
|
||||
}
|
||||
type IChatRecordsData interface {
|
||||
UpsertData(ctx context.Context, list []*ChatRecord) error
|
||||
QueryData(ctx context.Context, text map[string][]string) (id string, score float32, err error)
|
||||
}
|
||||
|
||||
func NewChatRecordsData(config *config.Config) (IChatRecordsData, error) {
|
||||
switch config.Vector.Provider {
|
||||
case "tencent", "":
|
||||
return newTencentChatRecordsData(config)
|
||||
case "pgvector":
|
||||
return newPgvectorChatRecordsData(config)
|
||||
default:
|
||||
return nil, fmt.Errorf("unsupported vector provider: %s", config.Vector.Provider)
|
||||
}
|
||||
}
|
||||
@@ -1,121 +0,0 @@
|
||||
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, ",") + "]"
|
||||
}
|
||||
@@ -1,66 +0,0 @@
|
||||
package vector_data
|
||||
|
||||
import (
|
||||
"ai-chat-service/pkg/config"
|
||||
"context"
|
||||
"time"
|
||||
|
||||
"github.com/tencent/vectordatabase-sdk-go/tcvectordb"
|
||||
)
|
||||
|
||||
type tencentChatRecordsData struct {
|
||||
config *config.Config
|
||||
vectorDB *tcvectordb.Client
|
||||
}
|
||||
|
||||
func newTencentChatRecordsData(config *config.Config) (IChatRecordsData, error) {
|
||||
option := &tcvectordb.ClientOption{
|
||||
Timeout: time.Second * time.Duration(config.Vector.Tencent.Timeout),
|
||||
MaxIdldConnPerHost: config.Vector.Tencent.MaxIdleConnPerHost,
|
||||
IdleConnTimeout: time.Second * time.Duration(config.Vector.Tencent.IdleConnTimeout),
|
||||
ReadConsistency: tcvectordb.ReadConsistency(config.Vector.Tencent.ReadConsistency),
|
||||
}
|
||||
client, err := tcvectordb.NewClient(config.Vector.Tencent.Url, config.Vector.Tencent.Username, config.Vector.Tencent.Pwd, option)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
return &tencentChatRecordsData{
|
||||
config: config,
|
||||
vectorDB: client,
|
||||
}, nil
|
||||
}
|
||||
|
||||
func (data *tencentChatRecordsData) UpsertData(ctx context.Context, list []*ChatRecord) error {
|
||||
database := data.config.Vector.Tencent.Database
|
||||
collection := CHAT_RECORDS
|
||||
coll := data.vectorDB.Database(database).Collection(collection)
|
||||
documentList := make([]tcvectordb.Document, 0, len(list))
|
||||
for _, l := range list {
|
||||
doc := tcvectordb.Document{Id: l.ID}
|
||||
doc.Fields = make(map[string]tcvectordb.Field, len(l.KVs))
|
||||
for k, v := range l.KVs {
|
||||
doc.Fields[k] = tcvectordb.Field{Val: v}
|
||||
}
|
||||
documentList = append(documentList, doc)
|
||||
}
|
||||
_, err := coll.Upsert(ctx, documentList)
|
||||
return err
|
||||
}
|
||||
|
||||
func (data *tencentChatRecordsData) QueryData(ctx context.Context, text map[string][]string) (id string, score float32, err error) {
|
||||
database := data.config.Vector.Tencent.Database
|
||||
collection := CHAT_RECORDS
|
||||
coll := data.vectorDB.Database(database).Collection(collection)
|
||||
result, err := coll.SearchByText(ctx, text, &tcvectordb.SearchDocumentParams{
|
||||
Params: &tcvectordb.SearchDocParams{Ef: 100},
|
||||
Limit: 1,
|
||||
})
|
||||
if err != nil {
|
||||
return "", 0, err
|
||||
}
|
||||
if len(result.Documents) > 0 && len(result.Documents[0]) > 0 {
|
||||
doc := result.Documents[0][0]
|
||||
return doc.Id, doc.Score, nil
|
||||
}
|
||||
return "", 0, nil
|
||||
}
|
||||
Reference in New Issue
Block a user