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