Welcome back! In the previous lesson, we explored the importance of a robust system prompt and how it guides the behavior of our chatbot. Now, we will delve into the next step of our journey: building the Chat Manager. This lesson will focus on the model layer of the MVC (Model-View-Controller) architecture, which is crucial for organizing and managing data in a structured way. The ChatManager
class will be the core component of our model layer, responsible for managing chat data effectively. By the end of this lesson, you will understand how to create, manage, and retrieve chat data using the ChatManager
class.
The ChatManager
class is designed to handle the storage and management of chat data. It serves as the backbone of our chatbot's data management system. We'll start by setting up the class and then gradually add methods to handle chat creation, message addition, and conversation retrieval.
Let's begin by defining the ChatManager
class and its constructor. The constructor initializes an empty object, this.chats
, which will store all chat data.
In this setup, this.chats
is a nested object where the first key is the user_id
, and the second key is the chat_id
. This structure allows us to efficiently manage multiple chats for different users.
Next, we'll add the createChat
method. This method is responsible for creating a new chat entry for a user. It takes three parameters: userId
, chatId
, and systemPrompt
.
The createChat
method checks if the userId
exists in this.chats
. If not, it creates a new entry. Then, it initializes the chat with the provided systemPrompt
and an empty array for messages.
To access a specific chat, we need the getChat
method. This method retrieves a chat based on the userId
and chatId
.
The getChat
method uses optional chaining to safely access the nested object, returning the chat data if it exists.
Now, let's add the addMessage
method. This method allows us to append messages to a chat. It requires the userId
, chatId
, role
, and content
of the message.
The addMessage
method first retrieves the chat using getChat
. If the chat exists, it appends the message to the chat's message array.
Finally, we'll implement the getConversation
method. This method returns the entire conversation, including the system prompt and all messages.
The getConversation
method retrieves the chat and constructs an array starting with the system prompt, followed by the chat messages. If the chat does not exist, it returns an empty array.
To create a new chat, we use the createChat
method. This method takes three parameters: userId
, chatId
, and systemPrompt
. It initializes a new chat entry in the this.chats
object. If the userId
does not already exist in the object, a new entry is created. The chat entry includes the system prompt and an empty array for messages.
Here's an example of how to create a new chat:
In this example, we initialize a ChatManager
instance and create a new chat for a user with the ID "user123"
. The chat is identified by "chat123"
and is initialized with a system prompt. This setup allows us to manage chat data efficiently.
Once a chat is created, we can add messages to it using the addMessage
method. This method requires the userId
, chatId
, role
, and content
of the message. The role indicates whether the message is from the user or the assistant. The message is then appended to the chat's message array.
Here's how you can add messages to a chat:
In this example, we add a user message, "Hello!"
, and an assistant response, "Hi there!"
, to the chat. The addMessage
method ensures that messages are stored in the correct chat entry.
To retrieve the entire conversation, including the system prompt, we use the getConversation
method. This method returns an array of messages, starting with the system prompt followed by the chat messages.
The getConversation
method compiles the chat history, allowing us to access the full context of the conversation.
In this lesson, we explored the ChatManager
class and its role in managing chat data within the model layer of our application. We learned how to create and manage chats, add messages, and retrieve chat histories. The ChatManager
is a crucial component for organizing chat data, ensuring that our chatbot can handle multiple conversations efficiently.
As you move on to the practice exercises, take the opportunity to experiment with modifying and extending the ChatManager
functionality. This hands-on practice will reinforce the concepts covered in this lesson and prepare you for the next steps in our course. Keep up the great work, and I look forward to seeing your progress!
