Starting the application git clone https://github.com/ogola5/icp_hack

dfx --version 16 and above rustup within your system

dfx start --background dfx deply

This code implements a basic assistant service using the Azle framework. The service provides functionality for users to interact with an AI assistant and manage conversation threads.

Save User Conversation: Users can interact with the assistant by providing input text. The service stores the user's input and a placeholder AI response in a conversation thread. Retrieve Conversation Thread: Users can retrieve their conversation history with the assistant using their user ID. Delete Conversation Thread: Users can delete their conversation thread with the assistant. Check for Existing Thread: Users can check if they have a saved conversation thread with the assistant.

The AI response is currently a placeholder and needs to be integrated with an actual AI model. getAssistant(assistantId: string): Retrieves the ID of an AI assistant, confirming the presence of an assistant in the system. saveThread(userIdentity: string, userInput: string): Saves or updates a conversation thread based on user input. It automatically generates an AI response as a placeholder. getThread(userIdentity: string): Fetches an existing conversation thread for a user, if available. deleteThread(userIdentity: string): Removes a conversation thread associated with a user from the system. hasASavedThread(userIdentity: string): Checks whether there is an existing conversation thread for a user. Data Models Thread: Represents a conversation thread containing multiple entries of user interactions. ConversationEntryType: Captures individual entries in a conversation, storing user input and the corresponding AI response.

StableBTreeMap (for persistent thread storage) Understanding the Code:

The code imports necessary functions and data types from the Azle framework (update, text, Ok, Err, Result, etc.) and custom models (ErrorResponse, ThreadType, Thread, ConversationEntryType). Thread Storage:

A StableBTreeMap data structure (threadStorage) is created to persistently store conversation threads. It uses user IDs (text) as keys and conversation thread objects (Thread) as values. The capacity is set to 4 (adjustable for performance optimization). Assistant Class:

The Assistant class defines methods for interacting with the service:

getAssistant(assistantId: string) (placeholder): Currently a placeholder for retrieving assistant details.

saveThread(userIdentity: string, userInput: string): Saves a new conversation thread or updates an existing one:

Validates if userIdentity and userInput are not empty. Creates a placeholder AI response for userInput. Constructs a new conversation entry object with userInput and aiResponse. Retrieves the existing thread for userIdentity from threadStorage. If no thread exists, a new thread is created with userIdentity, "Chat Thread" object type, current timestamp, and the new conversation entry. If a thread exists, the new conversation entry is appended to its conversation array. Updates threadStorage with the modified or new thread. Returns the updated thread object upon success. getThread(userIdentity: string): Retrieves a conversation thread:

Retrieves the thread for userIdentity from threadStorage. If no thread exists, returns an error message. If a thread exists, returns the thread object. deleteThread(userIdentity: string): Deletes a conversation thread:

Validates if userIdentity is not empty. Retrieves the thread for userIdentity from threadStorage. If no thread exists, returns an error message. If a thread exists, removes it from threadStorage. Returns a success message ("Deleted") upon deletion. hasASavedThread(userIdentity: string): Checks if a conversation thread exists:

Retrieves the thread for userIdentity from threadStorage. Returns true if a thread exists, false otherwise. Creating an Assistant Instance:

An instance of the Assistant class (assistant) is created. Exporting the Assistant:

The assistant object is exported, allowing other parts of your application to use its functionalities. Usage (Example):