|
| 1 | +from flask import Flask, request, jsonify |
| 2 | +from dotenv import load_dotenv |
| 3 | +import os |
| 4 | +from langchain_google_genai import ChatGoogleGenerativeAI |
| 5 | +from langchain_community.chains.graph_qa.cypher import GraphCypherQAChain |
| 6 | +from langchain_community.graphs import Neo4jGraph |
| 7 | +import sqlite3 |
| 8 | +import uuid |
| 9 | + |
| 10 | +# Load environment variables |
| 11 | +os.environ["GOOGLE_API_KEY"] = os.getenv("GOOGLE_API_KEY") |
| 12 | +os.environ["NEO4J_URI"] = os.getenv("NEO4J_URI") |
| 13 | +os.environ["NEO4J_USERNAME"] = os.getenv("NEO4J_USERNAME") |
| 14 | +os.environ["NEO4J_PASSWORD"] = os.getenv("NEO4J_PASSWORD") |
| 15 | + |
| 16 | +# Initialize Neo4j graph and language model |
| 17 | +graph = Neo4jGraph() |
| 18 | +llm = ChatGoogleGenerativeAI(model="gemini-pro") |
| 19 | +chain = GraphCypherQAChain.from_llm(graph=graph, llm=llm, verbose=True) |
| 20 | + |
| 21 | +# Initialize SQLite database connection |
| 22 | +def init_db(): |
| 23 | + conn = sqlite3.connect('chat.db') |
| 24 | + cursor = conn.cursor() |
| 25 | + cursor.execute(''' |
| 26 | + CREATE TABLE IF NOT EXISTS chats ( |
| 27 | + chat_id TEXT PRIMARY KEY, |
| 28 | + query TEXT NOT NULL, |
| 29 | + response TEXT NOT NULL |
| 30 | + ) |
| 31 | + ''') |
| 32 | + conn.commit() |
| 33 | + conn.close() |
| 34 | + |
| 35 | +init_db() |
| 36 | + |
| 37 | +def save_chat(chat_id, query, response): |
| 38 | + """Save chat message to SQLite database.""" |
| 39 | + conn = sqlite3.connect('chat.db') |
| 40 | + cursor = conn.cursor() |
| 41 | + cursor.execute(''' |
| 42 | + INSERT INTO chats (chat_id, query, response) VALUES (?, ?, ?) |
| 43 | + ''', (chat_id, query, response)) |
| 44 | + conn.commit() |
| 45 | + conn.close() |
| 46 | + |
| 47 | +def get_chat_by_id(chat_id): |
| 48 | + """Retrieve chat query and response by chat ID from SQLite database.""" |
| 49 | + conn = sqlite3.connect('chat.db') |
| 50 | + cursor = conn.cursor() |
| 51 | + cursor.execute(''' |
| 52 | + SELECT query, response FROM chats WHERE chat_id = ? |
| 53 | + ''', (chat_id,)) |
| 54 | + result = cursor.fetchone() |
| 55 | + conn.close() |
| 56 | + return {"query": result[0], "response": result[1]} if result else None |
| 57 | + |
| 58 | + |
| 59 | +def get_graph_response(query): |
| 60 | + """Get response from graph database using natural language query.""" |
| 61 | + response = chain.invoke({"query": query}) |
| 62 | + return response['result'] |
| 63 | + |
| 64 | +def chat(): |
| 65 | + """Chat route to handle user queries and return responses.""" |
| 66 | + data = request.json |
| 67 | + query = data.get("query") |
| 68 | + |
| 69 | + if not query: |
| 70 | + return jsonify({"error": "No query provided"}), 400 |
| 71 | + |
| 72 | + try: |
| 73 | + result = get_graph_response(query) |
| 74 | + chat_id = str(uuid.uuid4()) # Generate unique chat ID |
| 75 | + save_chat(chat_id, query, result) |
| 76 | + return jsonify({"chat_id": chat_id, "result": result}), 200 |
| 77 | + except Exception as e: |
| 78 | + return jsonify({"error": "An error occurred while processing the query"}), 500 |
| 79 | + |
| 80 | +def retrieve_chat(chat_id): |
| 81 | + """Retrieve chat response by chat ID.""" |
| 82 | + try: |
| 83 | + result = get_chat_by_id(chat_id) |
| 84 | + if result: |
| 85 | + return jsonify({"chat_id": chat_id, "result": result}), 200 |
| 86 | + else: |
| 87 | + return jsonify({"error": "Chat ID not found"}), 404 |
| 88 | + except Exception as e: |
| 89 | + return jsonify({"error": "An error occurred while retrieving the chat"}), 500 |
| 90 | + |
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