Files
History_Api/internal/services/chatbotService.go
AzenKain 44ebdeedc3
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UPDATE: Fix chatbot
2026-05-05 10:21:47 +07:00

66 lines
2.0 KiB
Go

package services
import (
"context"
"fmt"
"history-api/internal/repositories"
"history-api/pkg/ai"
)
type ChatbotService interface {
Chat(ctx context.Context, projectID *string, question string) (string, error)
}
type chatbotService struct {
repo repositories.RagRepository
ragUtils *ai.RagUtils
}
func NewChatbotService(repo repositories.RagRepository, ragUtils *ai.RagUtils) ChatbotService {
return &chatbotService{
repo: repo,
ragUtils: ragUtils,
}
}
func (s *chatbotService) Chat(ctx context.Context, projectID *string, question string) (string, error) {
qVector, err := s.ragUtils.EmbedQuery(ctx, question)
if err != nil {
return "", fmt.Errorf("failed to embed question: %w", err)
}
results, err := s.repo.SearchSimilar(ctx, projectID, qVector, 5, 0.65)
if err != nil {
return "", fmt.Errorf("failed to search similar content: %w", err)
}
contextStr := ""
for i, res := range results {
contextStr += fmt.Sprintf("[Document %d]: %s\n", i+1, res.Content)
}
var prompt string
if contextStr == "" {
prompt = fmt.Sprintf(`You are a friendly history assistant chatbot. The user said: "%s"
Rules:
- If it is a greeting (like "hello", "hi", "xin chào"), respond with a friendly greeting and briefly introduce yourself.
- If it is a history question, say that you don't have relevant documents to answer.
- You MUST wrap your final response inside <answer> tags. Example: <answer>Hello!</answer>
- Do NOT show your reasoning outside or inside the tags if possible, but the final answer MUST be in <answer> tags.`, question)
} else {
prompt = fmt.Sprintf(`You are a helpful history assistant. Answer the question using ONLY the provided context.
Rules:
- If the answer is not in the context, say "I don't have enough historical context to answer that."
- You MUST wrap your final response inside <answer> tags. Example: <answer>The capital is...</answer>
- Be concise and direct.
Context:
%s
Question: %s`, contextStr, question)
}
return s.ragUtils.GenerateResponse(ctx, prompt)
}