🚀 CodeLearn Agent

CodeLearn Agent is a Python project designed to facilitate the learning of code. It includes several modules that each serve a specific purpose in the learning process.

📚 Modules

🔀 Splitter: This module provides an abstract base class for splitting text into chunks. It defines a ChunkInfo data class and a Splitter abstract base class with a split method that takes a FileTree and returns a list of ChunkInfo.
💾 Storage: This module provides classes for storing and retrieving project information. The ProjectStorage class has methods for storing a project and retrieving a project by its ID, repository URL, or local directory. The ProjectCache class provides a cache for projects, and the ProjectStorageManager class manages the storage and cache.
🧠 LLM: This module provides a function for asking questions using the CodeLearn Agent. It uses the OpenAI API to translate the question into multiple languages and infer hypothetical code. It then retrieves similar documents and codes and asks the question again.
📖 Example: This module provides an example of how to use the CodeLearn Agent in a web UI using the Gradio library. It also includes examples of how to use the CodeLearn Agent to ask a question, create a project, and retrieve code from a GitHub repository. There is also a custom agent demo that uses the OpenAI API and the CodeLearn Agent to answer questions.
🛠 Tools: This module provides a tool for automating the exploration of project directory structures. The DirectoryStructViewTool class provides a structured view of specified directories within the project.
🔍 Retrieval: This module provides an abstract base class for retrieving documents. The Retriever class has an abstract retrieve method that takes a query and returns a list of documents.
📑 Index: This module provides an abstract base class for indexing projects. The Indexer class has an abstract index method that takes a project, a splitter, an embedding, and a vector database.
⛓ Chains: This module provides a chain for retrieving code from a vector database. The CodeRetrivalChain class retrieves code based on a question and ranks the results.
📂 Project: This module provides a Project class that represents a project. It includes the project ID, local directory, source content, repository URL, and last updated time.
🤖 Agents: This module provides a custom output parser for the CodeLearn Agent. The CustomOutputParser class parses the output of the language model and determines whether the agent should finish or take an action.
📦 Loader: This module provides abstract base classes for source providers and project loaders. The SourceProvider class has an abstract fetch_contents method that returns a FileTree. The ProjectLoader class has an abstract load_project method that takes project information and returns a Project.
🔧 Utils: This module provides a utility function for processing file paths. The process_file_paths function takes a string of file paths and returns a list of processed paths.

📖 Usage

Here are some examples of how to use the CodeLearn Agent:

GPT Action API: This is a FastAPI application that provides endpoints for interacting with the CodeLearn Agent. It includes endpoints for getting the project structure, getting the files in a sub-directory, and getting the contents of a file. It uses the ProjectManager class to create a project, get the project structure, and get the contents of a file. It also includes a middleware example and a main entry point with settings dependency. 🏆Here is a gpts application using codeLearn Agent api: https://chat.openai.com/g/g-WKcbq6Yi0-code-learner

0. git clone git@github.com:FISHers6/CodeLearn-Agent.git
1. poetry install
2. # edit github_token in codelearn/config.yml
3. python codelearn/example/gpts_action/main.py
4. eidt gpts actaion scheme, invoke this api

Ask Code Web UI: This is a Gradio application that provides a chat interface for interacting with the CodeLearn Agent. It uses the AskCodeWithMemory class to ask a question and get a response. The AskCodeWithMemory class uses the OpenAI API to translate the question into multiple languages and infer hypothetical code. It then retrieves similar documents and codes and asks the question again.

0. git clone git@github.com:FISHers6/CodeLearn-Agent.git
1. poetry install
2. # edit OPEN_API_KEY and OPEN_API_PROXY and REPO_URL(github url) in codelearn/example/ask_code_webui.py
3. python codelearn/example/ask_code_webui.py

Ask Code Chain: This is a script that uses the ask_by_chain function to ask a question using the CodeLearn Agent. The ask_by_chain function uses the OpenAI API to translate the question into multiple languages and infer hypothetical code. It then retrieves similar documents and codes and asks the question again. The script also includes code for creating a project, getting a project, and retrieving code.
Ask Code Agent: This is a script that uses the AskCodeWithMemory class to ask a question and get a response. The AskCodeWithMemory class uses the OpenAI API to translate the question into multiple languages and infer hypothetical code. It then retrieves similar documents and codes and asks the question again.

Each of these examples demonstrates a different way to use the CodeLearn Agent. The GPT Action API provides a web API for interacting with the CodeLearn Agent, the Ask Code Web UI provides a web UI for interacting with the CodeLearn Agent, the Ask Code Chain demonstrates how to use the CodeLearn Agent in a script, and the Ask Code Agent demonstrates how to use the CodeLearn Agent in a chatbot.