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package rag
import (
"bytes"
"elefant/config"
"elefant/models"
"elefant/storage"
"encoding/json"
"errors"
"fmt"
"log/slog"
"net/http"
"os"
"github.com/neurosnap/sentences/english"
)
type RAG struct {
logger *slog.Logger
store storage.FullRepo
cfg *config.Config
}
func New(l *slog.Logger, s storage.FullRepo, cfg *config.Config) *RAG {
return &RAG{
logger: l,
store: s,
cfg: cfg,
}
}
func (r *RAG) LoadRAG(fpath string) error {
data, err := os.ReadFile(fpath)
if err != nil {
return err
}
r.logger.Info("rag: loaded file", "fp", fpath)
fileText := string(data)
tokenizer, err := english.NewSentenceTokenizer(nil)
if err != nil {
return err
}
sentences := tokenizer.Tokenize(fileText)
sents := make([]string, len(sentences))
r.logger.Info("rag: sentences", "#", len(sents))
for i, s := range sentences {
sents[i] = s.Text
}
// TODO: maybe better to decide batch size based on sentences len
var (
// TODO: to config
workers = 5
batchSize = 200
maxChSize = 1000
//
left = 0
right = batchSize
batchCh = make(chan map[int][]string, maxChSize)
vectorCh = make(chan []models.VectorRow, maxChSize)
errCh = make(chan error, 1)
doneCh = make(chan bool, 1)
)
if len(sents) < batchSize {
batchSize = len(sents)
}
// fill input channel
ctn := 0
for {
if right > len(sents) {
batchCh <- map[int][]string{left: sents[left:]}
break
}
batchCh <- map[int][]string{left: sents[left:right]}
left, right = right, right+batchSize
ctn++
}
r.logger.Info("finished batching", "batches#", len(batchCh))
for w := 0; w < workers; w++ {
go r.batchToVectorHFAsync(len(sents), batchCh, vectorCh, errCh, doneCh)
}
// write to db
return r.writeVectors(vectorCh, doneCh)
}
func (r *RAG) writeVectors(vectorCh <-chan []models.VectorRow, doneCh <-chan bool) error {
for {
select {
case batch := <-vectorCh:
for _, vector := range batch {
if err := r.store.WriteVector(&vector); err != nil {
r.logger.Error("failed to write vector", "error", err, "slug", vector.Slug)
continue // a duplicate is not critical
// return err
}
}
r.logger.Info("wrote batch to db", "size", len(batch))
case <-doneCh:
r.logger.Info("rag finished")
return nil
}
}
}
func (r *RAG) batchToVectorHFAsync(limit int, inputCh <-chan map[int][]string,
vectorCh chan<- []models.VectorRow, errCh chan error, doneCh chan bool) {
r.logger.Info("to vector batches", "batches#", len(inputCh))
for {
select {
case linesMap := <-inputCh:
// r.logger.Info("batch from ch")
for leftI, v := range linesMap {
// r.logger.Info("fetching", "index", leftI)
r.fecthEmbHF(v, errCh, vectorCh, fmt.Sprintf("test_%d", leftI))
if leftI+200 >= limit { // last batch
doneCh <- true
return
}
// r.logger.Info("done feitching", "index", leftI)
}
case <-doneCh:
r.logger.Info("got done")
close(errCh)
close(doneCh)
return
case err := <-errCh:
r.logger.Error("got an error", "error", err)
return
}
}
}
func (r *RAG) fecthEmbHF(lines []string, errCh chan error, vectorCh chan<- []models.VectorRow, slug string) {
payload, err := json.Marshal(
map[string]any{"inputs": lines, "options": map[string]bool{"wait_for_model": true}},
)
if err != nil {
r.logger.Error("failed to marshal payload", "err:", err.Error())
errCh <- err
return
}
req, err := http.NewRequest("POST", r.cfg.EmbedURL, bytes.NewReader(payload))
if err != nil {
r.logger.Error("failed to create new req", "err:", err.Error())
errCh <- err
return
}
req.Header.Add("Authorization", fmt.Sprintf("Bearer %s", r.cfg.HFToken))
resp, err := http.DefaultClient.Do(req)
// nolint
// resp, err := httpClient.Post(cfg.EmbedURL, "application/json", bytes.NewReader(payload))
if err != nil {
r.logger.Error("failed to embedd line", "err:", err.Error())
errCh <- err
return
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
r.logger.Error("non 200 resp", "code", resp.StatusCode)
return
// err = fmt.Errorf("non 200 resp; url: %s; code %d", r.cfg.EmbedURL, resp.StatusCode)
// errCh <- err
// return
}
emb := [][]float32{}
if err := json.NewDecoder(resp.Body).Decode(&emb); err != nil {
r.logger.Error("failed to embedd line", "err:", err.Error())
errCh <- err
return
}
if len(emb) == 0 {
r.logger.Error("empty emb")
err = errors.New("empty emb")
errCh <- err
return
}
vectors := make([]models.VectorRow, len(emb))
for i, e := range emb {
vector := models.VectorRow{
Embeddings: e,
RawText: lines[i],
Slug: slug,
}
vectors[i] = vector
}
vectorCh <- vectors
}
func (r *RAG) LineToVector(line string) ([]float32, error) {
// payload, err := json.Marshal(map[string]string{"content": line})
lines := []string{line}
payload, err := json.Marshal(
map[string]any{"inputs": lines, "options": map[string]bool{"wait_for_model": true}},
)
if err != nil {
r.logger.Error("failed to marshal payload", "err:", err.Error())
return nil, err
}
// nolint
req, err := http.NewRequest("POST", r.cfg.EmbedURL, bytes.NewReader(payload))
if err != nil {
r.logger.Error("failed to create new req", "err:", err.Error())
return nil, err
}
req.Header.Add("Authorization", fmt.Sprintf("Bearer %s", r.cfg.HFToken))
resp, err := http.DefaultClient.Do(req)
// resp, err := req.Post(r.cfg.EmbedURL, "application/json", bytes.NewReader(payload))
if err != nil {
r.logger.Error("failed to embedd line", "err:", err.Error())
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
err = fmt.Errorf("non 200 resp; code: %v\n", resp.StatusCode)
r.logger.Error(err.Error())
return nil, err
}
// emb := models.EmbeddingResp{}
emb := [][]float32{}
if err := json.NewDecoder(resp.Body).Decode(&emb); err != nil {
r.logger.Error("failed to embedd line", "err:", err.Error())
return nil, err
}
if len(emb) == 0 || len(emb[0]) == 0 {
r.logger.Error("empty emb")
err = errors.New("empty emb")
return nil, err
}
return emb[0], nil
}
// func (r *RAG) saveLine(topic, line string, emb *models.EmbeddingResp) error {
// row := &models.VectorRow{
// Embeddings: emb.Embedding,
// Slug: topic,
// RawText: line,
// }
// return r.store.WriteVector(row)
// }
func (r *RAG) SearchEmb(emb *models.EmbeddingResp) ([]models.VectorRow, error) {
return r.store.SearchClosest(emb.Embedding)
}
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