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Pritam Das
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@ -1,14 +1,12 @@
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"""
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credits : https://medium.com/google-developer-experts/beyond-live-sessions-building-persistent-memory-chatbots-with-langchain-gemini-pro-and-firebase-19d6f84e21d3
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"""
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import os
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import datetime
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from dotenv import load_dotenv
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import mysql.connector
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from dotenv import load_dotenv
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from together import Together
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from groq import Groq
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import unittest
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from unittest.mock import patch
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from io import StringIO
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load_dotenv()
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@ -20,227 +18,271 @@ db_config = {
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"database": os.environ.get("DB_NAME"),
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}
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api_service = os.environ.get("API_SERVICE")
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def create_tables() -> None:
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"""
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Create the ChatDB.Chat_history and ChatDB.Chat_data tables
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if they do not exist.Also, create a trigger to update is_stream
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in Chat_data when Chat_history.is_stream is updated.
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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CREATE TABLE IF NOT EXISTS ChatDB.Chat_history (
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chat_id INT AUTO_INCREMENT PRIMARY KEY,
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start_time DATETIME,
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is_stream INT
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)
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"""
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)
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cursor.execute(
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"""
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CREATE TABLE IF NOT EXISTS ChatDB.Chat_data (
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id INT AUTO_INCREMENT PRIMARY KEY,
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chat_id INT,
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user TEXT,
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assistant TEXT,
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FOREIGN KEY (chat_id) REFERENCES ChatDB.Chat_history(chat_id)
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)
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"""
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)
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cursor.execute("DROP TRIGGER IF EXISTS update_is_stream;")
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cursor.execute(
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"""
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CREATE TRIGGER update_is_stream
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AFTER UPDATE ON ChatDB.Chat_history
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FOR EACH ROW
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BEGIN
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UPDATE ChatDB.Chat_data
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SET is_stream = NEW.is_stream
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WHERE chat_id = NEW.chat_id;
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END;
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"""
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)
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conn.commit()
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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finally:
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cursor.close()
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conn.close()
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print("Tables and trigger created successfully")
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def insert_chat_history(start_time: datetime.datetime, is_stream: int) -> None:
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"""
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Insert a new row into the ChatDB.Chat_history table.
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:param start_time: Timestamp of when the chat started
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:param is_stream: Indicator of whether the conversation is
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ongoing, starting, or ending
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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INSERT INTO ChatDB.Chat_history (start_time, is_stream)
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VALUES (%s, %s)
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""",
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(start_time, is_stream),
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)
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conn.commit()
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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finally:
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cursor.close()
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conn.close()
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def get_latest_chat_id() -> int:
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"""
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Retrieve the latest chat_id from the ChatDB.Chat_history table.
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:return: The latest chat_id or None if no chat_id exists.
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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SELECT chat_id FROM ChatDB.Chat_history
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ORDER BY chat_id DESC LIMIT 1
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"""
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)
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chat_id = cursor.fetchone()[0]
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return chat_id if chat_id else None
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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return 0
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finally:
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cursor.close()
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conn.close()
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def insert_chat_data(chat_id: int, user_message: str, assistant_message: str) -> None:
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"""
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Insert a new row into the ChatDB.Chat_data table.
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:param chat_id: The ID of the chat session
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:param user_message: The user's message
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:param assistant_message: The assistant's message
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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INSERT INTO ChatDB.Chat_data (chat_id, user, assistant)
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VALUES (%s, %s, %s)
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""",
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(chat_id, user_message, assistant_message),
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)
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conn.commit()
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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finally:
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cursor.close()
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conn.close()
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def generate_llm_response(
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conversation_history: list[dict], api_service: str = "Groq"
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) -> str:
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"""
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Generate a response from the LLM based on the conversation history.
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:param conversation_history: List of dictionaries representing
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the conversation so far
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:param api_service: Choose between "Together" or "Groq" as the
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API service
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:return: Assistant's response as a string
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"""
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bot_response = ""
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if api_service == "Together":
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client = Together(api_key=os.environ.get("TOGETHER_API_KEY"))
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response = client.chat.completions.create(
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model="meta-llama/Llama-3.2-3B-Instruct-Turbo",
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messages=conversation_history,
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max_tokens=512,
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temperature=0.3,
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top_p=0.7,
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top_k=50,
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repetition_penalty=1,
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stop=["<|eot_id|>", "<|eom_id|>"],
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stream=False,
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)
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bot_response = response.choices[0].message.content
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else:
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client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
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response = client.chat.completions.create(
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model="llama3-8b-8192",
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messages=conversation_history,
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max_tokens=1024,
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temperature=0.3,
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top_p=0.7,
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stop=["<|eot_id|>", "<|eom_id|>"],
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stream=False,
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)
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bot_response = response.choices[0].message.content
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return bot_response
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def chat_session() -> None:
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"""
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Start a chatbot session, allowing the user to interact with the LLM.
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Saves conversation history in the database and ends the session on "/stop" command.
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"""
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print("Welcome to the chatbot! Type '/stop' to end the conversation.")
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conversation_history = []
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start_time = datetime.datetime.now(datetime.timezone.utc)
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chat_id_pk = None
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api_service = "Groq" # or "Together"
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while True:
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user_input = input("\nYou: ").strip()
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conversation_history.append({"role": "user", "content": user_input})
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if chat_id_pk is None:
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if user_input.lower() == "/stop":
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break
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bot_response = generate_llm_response(conversation_history, api_service)
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conversation_history.append({"role": "assistant", "content": bot_response})
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is_stream = 1 # New conversation
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insert_chat_history(start_time, is_stream)
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chat_id_pk = get_latest_chat_id()
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insert_chat_data(chat_id_pk, user_input, bot_response)
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class LLMService:
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def __init__(self, api_service: str):
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self.api_service = api_service
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if self.api_service == "Together":
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self.client = Together(api_key=os.environ.get("TOGETHER_API_KEY"))
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else:
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if user_input.lower() == "/stop":
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is_stream = 2 # End of conversation
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self.client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
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def generate_response(self, conversation_history: list[dict]) -> str:
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"""
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Generate a response from the LLM based on the conversation history.
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Example:
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>>> llm_service = LLMService(api_service="Groq")
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>>> response = llm_service.generate_response([{"role": "user", "content": "Hello"}])
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>>> isinstance(response, str)
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True
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"""
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if self.api_service == "Together":
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response = self.client.chat.completions.create(
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model="meta-llama/Llama-3.2-3B-Instruct-Turbo",
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messages=conversation_history,
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max_tokens=512,
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temperature=0.3,
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top_p=0.7,
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top_k=50,
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repetition_penalty=1,
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stop=["<|eot_id|>", "<|eom_id|>"],
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stream=False,
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)
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else:
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response = self.client.chat.completions.create(
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model="llama3-8b-8192",
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messages=conversation_history,
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max_tokens=1024,
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temperature=0.3,
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top_p=0.7,
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stop=["<|eot_id|>", "<|eom_id|>"],
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stream=False,
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)
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return response.choices[0].message.content
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class ChatDB:
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@staticmethod
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def create_tables() -> None:
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"""
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Create the ChatDB.Chat_history and ChatDB.Chat_data tables
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if they do not exist. Also, create a trigger to update is_stream
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in Chat_data when Chat_history.is_stream is updated.
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Example:
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>>> ChatDB.create_tables()
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Tables and trigger created successfully
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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CREATE TABLE IF NOT EXISTS ChatDB.Chat_history (
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chat_id INT AUTO_INCREMENT PRIMARY KEY,
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start_time DATETIME,
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is_stream INT
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)
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"""
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)
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cursor.execute(
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"""
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CREATE TABLE IF NOT EXISTS ChatDB.Chat_data (
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id INT AUTO_INCREMENT PRIMARY KEY,
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chat_id INT,
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user TEXT,
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assistant TEXT,
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FOREIGN KEY (chat_id) REFERENCES ChatDB.Chat_history(chat_id)
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)
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"""
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)
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cursor.execute("DROP TRIGGER IF EXISTS update_is_stream;")
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cursor.execute(
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"""
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CREATE TRIGGER update_is_stream
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AFTER UPDATE ON ChatDB.Chat_history
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FOR EACH ROW
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BEGIN
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UPDATE ChatDB.Chat_data
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SET is_stream = NEW.is_stream
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WHERE chat_id = NEW.chat_id;
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END;
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"""
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)
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conn.commit()
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print("Tables and trigger created successfully")
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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finally:
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cursor.close()
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conn.close()
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@staticmethod
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def insert_chat_history(start_time: datetime.datetime, is_stream: int) -> int:
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"""
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Insert a new row into the ChatDB.Chat_history table and return the inserted chat_id.
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Example:
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>>> from datetime import datetime
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>>> chat_id = ChatDB.insert_chat_history(datetime(2024, 1, 1, 12, 0, 0), 1)
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>>> isinstance(chat_id, int)
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True
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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INSERT INTO ChatDB.Chat_history (start_time, is_stream)
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VALUES (%s, %s)
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""",
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(start_time, is_stream),
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)
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conn.commit()
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cursor.execute("SELECT LAST_INSERT_ID()")
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chat_id = cursor.fetchone()[0]
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print("Chat history inserted successfully.")
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return chat_id
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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return None
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finally:
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cursor.close()
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conn.close()
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@staticmethod
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def get_latest_chat_id() -> int:
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"""
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Retrieve the latest chat_id from the ChatDB.Chat_history table.
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:return: The latest chat_id or None if no chat_id exists.
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|
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Example:
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>>> chat_id = ChatDB.get_latest_chat_id()
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>>> isinstance(chat_id, int)
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True
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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SELECT chat_id FROM ChatDB.Chat_history
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ORDER BY chat_id DESC LIMIT 1
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"""
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)
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chat_id = cursor.fetchone()[0]
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return chat_id if chat_id else None
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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return None
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finally:
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cursor.close()
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conn.close()
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@staticmethod
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def insert_chat_data(chat_id: int, user_message: str, assistant_message: str) -> None:
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"""
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Insert a new row into the ChatDB.Chat_data table.
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Example:
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>>> ChatDB.insert_chat_data(1, 'Hello', 'Hi there!')
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Chat data inserted successfully.
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"""
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try:
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conn = mysql.connector.connect(**db_config)
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cursor = conn.cursor()
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cursor.execute(
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"""
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INSERT INTO ChatDB.Chat_data (chat_id, user, assistant)
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VALUES (%s, %s, %s)
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""",
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(chat_id, user_message, assistant_message),
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)
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conn.commit()
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print("Chat data inserted successfully.")
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except mysql.connector.Error as err:
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print(f"Error: {err}")
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finally:
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cursor.close()
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conn.close()
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class Chatbot:
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def __init__(self, api_service: str):
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self.llm_service = LLMService(api_service)
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self.conversation_history = []
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self.chat_id_pk = None
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self.start_time = datetime.datetime.now(datetime.timezone.utc)
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|
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def chat_session(self) -> None:
|
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"""
|
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Start a chatbot session, allowing the user to interact with the LLM.
|
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Saves conversation history in the database and ends the session on "/stop" command.
|
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|
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Example:
|
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>>> chatbot = Chatbot(api_service="Groq")
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>>> chatbot.chat_session() # This will be mocked in the tests
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Welcome to the chatbot! Type '/stop' to end the conversation.
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"""
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print("Welcome to the chatbot! Type '/stop' to end the conversation.")
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|
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while True:
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user_input = input("\nYou: ").strip()
|
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self.conversation_history.append({"role": "user", "content": user_input})
|
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|
||||
if self.chat_id_pk is None:
|
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if user_input.lower() == "/stop":
|
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break
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bot_response = self.llm_service.generate_response(self.conversation_history)
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self.conversation_history.append({"role": "assistant", "content": bot_response})
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|
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is_stream = 1 # New conversation
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self.chat_id_pk = ChatDB.insert_chat_history(self.start_time, is_stream) # Return the chat_id
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if self.chat_id_pk:
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ChatDB.insert_chat_data(self.chat_id_pk, user_input, bot_response)
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else:
|
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if user_input.lower() == "/stop":
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is_stream = 2 # End of conversation
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current_time = datetime.datetime.now(datetime.timezone.utc)
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ChatDB.insert_chat_history(current_time, is_stream)
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break
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bot_response = self.llm_service.generate_response(self.conversation_history)
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self.conversation_history.append({"role": "assistant", "content": bot_response})
|
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|
||||
is_stream = 0 # Continuation of conversation
|
||||
current_time = datetime.datetime.now(datetime.timezone.utc)
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insert_chat_history(current_time, is_stream)
|
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break
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ChatDB.insert_chat_history(current_time, is_stream)
|
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ChatDB.insert_chat_data(self.chat_id_pk, user_input, bot_response)
|
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|
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bot_response = generate_llm_response(conversation_history, api_service)
|
||||
conversation_history.append({"role": "assistant", "content": bot_response})
|
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if len(self.conversation_history) > 1000:
|
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self.conversation_history = self.conversation_history[-3:]
|
||||
|
||||
is_stream = 0 # Continuation of conversation
|
||||
current_time = datetime.datetime.now(datetime.timezone.utc)
|
||||
insert_chat_history(current_time, is_stream)
|
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insert_chat_data(chat_id_pk, user_input, bot_response)
|
||||
# Test cases for Chatbot
|
||||
class TestChatbot(unittest.TestCase):
|
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|
||||
if len(conversation_history) > 1000:
|
||||
conversation_history = conversation_history[-3:]
|
||||
@patch('builtins.input', side_effect=["Hello", "/stop"])
|
||||
@patch('sys.stdout', new_callable=StringIO)
|
||||
def test_chat_session(self, mock_stdout, mock_input):
|
||||
"""
|
||||
Test the chat_session method for expected welcome message.
|
||||
"""
|
||||
chatbot = Chatbot(api_service="Groq")
|
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chatbot.chat_session()
|
||||
|
||||
# Check for the welcome message in the output
|
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output = mock_stdout.getvalue().strip().splitlines()
|
||||
self.assertIn("Welcome to the chatbot! Type '/stop' to end the conversation.", output)
|
||||
self.assertTrue(any("Chat history inserted successfully." in line for line in output))
|
||||
self.assertTrue(any("Chat data inserted successfully." in line for line in output))
|
||||
|
||||
|
||||
# starting a chat session
|
||||
create_tables()
|
||||
chat_session()
|
||||
if __name__ == "__main__":
|
||||
#
|
||||
ChatDB.create_tables()
|
||||
unittest.main()
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user