conversation_tracker.py

"""Conversation tracking for BF chatbot"""

import json
import os
from datetime import datetime
from typing import List, Dict, Any

# Konuşma geçmişini saklamak için
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
CONVERSATIONS_FILE = os.path.join(BASE_DIR, "conversations.json")
PUBLIC_FILE = os.path.join(BASE_DIR, "public", "conversations.json")
MAX_CONVERSATIONS = 100  # Son 100 konuşmayı sakla

def load_conversations():
    """Load conversation history from file"""
    if os.path.exists(CONVERSATIONS_FILE):
        try:
            with open(CONVERSATIONS_FILE, 'r', encoding='utf-8') as f:
                return json.load(f)
        except:
            return []
    return []

def save_conversations(conversations):
    """Save conversations to file"""
    try:
        # Keep only last MAX_CONVERSATIONS
        if len(conversations) > MAX_CONVERSATIONS:
            conversations = conversations[-MAX_CONVERSATIONS:]
        
        # Try to save to file
        with open(CONVERSATIONS_FILE, 'w', encoding='utf-8') as f:
            json.dump(conversations, f, ensure_ascii=False, indent=2)
        print(f"✅ Saved {len(conversations)} conversations to {CONVERSATIONS_FILE}")
        
        # Also save to a backup location that Gradio can access
        try:
            # Create a directory if it doesn't exist
            os.makedirs(os.path.dirname(PUBLIC_FILE), exist_ok=True)
            with open(PUBLIC_FILE, 'w', encoding='utf-8') as f:
                json.dump(conversations, f, ensure_ascii=False, indent=2)
            print(f"✅ Also saved to {PUBLIC_FILE}")
        except:
            pass
            
    except Exception as e:
        print(f"❌ Error saving conversations: {e}")
        # If file write fails, at least keep in memory
        global _memory_conversations
        _memory_conversations = conversations

# Keep a memory backup
_memory_conversations = []

def add_conversation(user_message, bot_response):
    """Add a new conversation to history"""
    conversations = load_conversations()
    
    conversation = {
        "timestamp": datetime.now().isoformat(),
        "user": user_message,
        "bot": bot_response
    }
    
    conversations.append(conversation)
    save_conversations(conversations)
    
    return conversation