Este repositorio implementa un agente LLM que recibe el mensaje del usuario y las pruebas unitarias correspondientes. El agente genera el código, prueba su correcta ejecución y se asegura de que pase las pruebas unitarias. Si el código no se ejecuta o falla alguna prueba unitaria, el agente regenera el código hasta que tenga éxito.
Este proyecto se basa en el código de LangChain's Notebook (https://github.com/mistralai/cookbook/blob/main/third_party/langchain/langgraph_code_assistant_mistral.ipynb), donde un agente genera código basado en el mensaje del usuario y verifica si la ejecución obras.
La principal contribución de este proyecto es la integración de pruebas unitarias en el proceso de ejecución del código.
Además, el código original del cuaderno Jupyter se ha refactorizado en un proyecto Python estructurado adecuado para su implementación. Al seguir las mejores prácticas de codificación, el código se ha modularizado, se han creado funciones reutilizables y se han garantizado la documentación y las pruebas adecuadas. El resultado es un proyecto .py bien organizado, mantenible y listo para producción.
git clone https : // github . com / paulomuraroferreira / Self_correcting_coding_agent . git
cd Self_correcting_coding_agent
$ pip install - e .
Cree un archivo .env y complete las siguientes variables de entorno:
OPENAI_API_KEY = your_openai_api_key
OPENAI_CHAT_MODEL = "gpt-4o-2024-08-06"
Ingrese el mensaje del código en el archivo main.py. El mensaje debe ser descriptivo y especificar el nombre de las clases.
Por ejemplo:
QUESTION3 = '''
Python Class Description
Class Name: BankAccount
Description:
The BankAccount class represents a user's bank account, allowing for deposits, withdrawals, and viewing the transaction history. The class ensures that withdrawals cannot exceed the current balance and that deposits and withdrawals are properly recorded in the transaction history.
Attributes:
balance (float): The current balance of the account, initialized to 0.
transactions (list): A list to store the history of transactions. Each transaction is stored as a dictionary with keys type (either 'deposit' or 'withdrawal'), amount, and date.
Methods:
deposit(amount: float) -> None: Adds the specified amount to the balance and records the transaction.
withdraw(amount: float) -> bool: Attempts to subtract the specified amount from the balance. Returns True if successful, otherwise returns False. Records the transaction if successful.
get_balance() -> float: Returns the current balance.
get_transaction_history() -> list: Returns a list of all transactions.
'''
main = Main(QUESTION3)
Agregue el código de prueba unitaria en un archivo .py en la carpeta src/unit_test_folder. Además, importe la clase correspondiente desde el archivo code_solution.py. Por ejemplo, para el mensaje anterior, el LLM generará una clase llamada BankAccount. Por lo tanto, src/unit_test_folder/test_unit_test.py debe incluir:
desde src.code_solution importar cuenta bancaria
Ejecute el archivo main.py.
python main . py
Para el ejemplo anterior, el código mostrará el siguiente resultado:
================================ Human Message =================================
Python Class Description
Class Name: BankAccount
Description:
The BankAccount class represents a user's bank account, allowing for deposits, withdrawals, and viewing the transaction history. The class ensures that withdrawals cannot exceed the current balance and that deposits and withdrawals are properly recorded in the transaction history.
Attributes:
balance (float): The current balance of the account, initialized to 0.
transactions (list): A list to store the history of transactions. Each transaction is stored as a dictionary with keys type (either 'deposit' or 'withdrawal'), amount, and date.
Methods:
deposit(amount: float) -> None: Adds the specified amount to the balance and records the transaction.
withdraw(amount: float) -> bool: Attempts to subtract the specified amount from the balance. Returns True if successful, otherwise returns False. Records the transaction if successful.
get_balance() -> float: Returns the current balance.
get_transaction_history() -> list: Returns a list of all transactions.
2024-08-18 14:51:24,955 - INFO - agent.py - ---GENERATING CODE SOLUTION---
================================== Ai Message ==================================
Here is my attempt to solve the problem: The BankAccount class is designed to manage a user's bank account by allowing deposits, withdrawals, and tracking transaction history. It ensures that withdrawals do not exceed the available balance and records each transaction with details such as type, amount, and date.
Imports: from datetime import datetime
Code: class BankAccount:
def __init__(self):
self.balance = 0.0
self.transactions = []
def deposit(self, amount: float) -> None:
self.balance += amount
transaction = {
'type': 'deposit',
'amount': amount,
'date': datetime.now()
}
self.transactions.append(transaction)
def withdraw(self, amount: float) -> bool:
if amount > self.balance:
return False
self.balance -= amount
transaction = {
'type': 'withdrawal',
'amount': amount,
'date': datetime.now()
}
self.transactions.append(transaction)
return True
def get_balance(self) -> float:
return self.balance
def get_transaction_history(self) -> list:
return self.transactions
2024-08-18 14:51:28,979 - INFO - agent.py - ---CHECKING CODE---
2024-08-18 14:51:29,170 - INFO - agent.py -
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.3.2, pluggy-1.5.0 -- /home/paulo/Python_projects/Self_correcting_coding_agent/venv/bin/python
cachedir: .pytest_cache
rootdir: /home/paulo/Python_projects/Self_correcting_coding_agent
configfile: pyproject.toml
plugins: anyio-4.4.0
collecting ... collected 7 items
src/unit_test_folder/test_unit_test.py::test_initial_balance PASSED [ 14%]
src/unit_test_folder/test_unit_test.py::test_deposit PASSED [ 28%]
src/unit_test_folder/test_unit_test.py::test_withdrawal_successful PASSED [ 42%]
src/unit_test_folder/test_unit_test.py::test_withdrawal_insufficient_funds PASSED [ 57%]
src/unit_test_folder/test_unit_test.py::test_transaction_history PASSED [ 71%]
src/unit_test_folder/test_unit_test.py::test_invalid_deposit FAILED [ 85%]
src/unit_test_folder/test_unit_test.py::test_invalid_withdrawal FAILED [100%]
=================================== FAILURES ===================================
_____________________________ test_invalid_deposit _____________________________
account = <src.code_solution.BankAccount object at 0x7fac0d4f0b90>
def test_invalid_deposit(account):
"""Test that depositing a negative amount raises ValueError."""
> with pytest.raises(ValueError):
E Failed: DID NOT RAISE <class 'ValueError'>
src/unit_test_folder/test_unit_test.py:48: Failed
___________________________ test_invalid_withdrawal ____________________________
account = <src.code_solution.BankAccount object at 0x7fac0d4f1f40>
def test_invalid_withdrawal(account):
"""Test that withdrawing a negative amount raises ValueError."""
> with pytest.raises(ValueError):
E Failed: DID NOT RAISE <class 'ValueError'>
src/unit_test_folder/test_unit_test.py:53: Failed
=========================== short test summary info ============================
FAILED src/unit_test_folder/test_unit_test.py::test_invalid_deposit - Failed:...
FAILED src/unit_test_folder/test_unit_test.py::test_invalid_withdrawal - Fail...
========================= 2 failed, 5 passed in 0.02s ==========================
2024-08-18 14:51:29,170 - INFO - agent.py - Some tests failed.
2024-08-18 14:51:29,172 - INFO - agent.py - ---DECISION: RE-TRY SOLUTION---
================================ Human Message =================================
Your solution failed the unit test: ============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.3.2, pluggy-1.5.0 -- /home/paulo/Python_projects/Self_correcting_coding_agent/venv/bin/python
cachedir: .pytest_cache
rootdir: /home/paulo/Python_projects/Self_correcting_coding_agent
configfile: pyproject.toml
plugins: anyio-4.4.0
collecting ... collected 7 items
src/unit_test_folder/test_unit_test.py::test_initial_balance PASSED [ 14%]
src/unit_test_folder/test_unit_test.py::test_deposit PASSED [ 28%]
src/unit_test_folder/test_unit_test.py::test_withdrawal_successful PASSED [ 42%]
src/unit_test_folder/test_unit_test.py::test_withdrawal_insufficient_funds PASSED [ 57%]
src/unit_test_folder/test_unit_test.py::test_transaction_history PASSED [ 71%]
src/unit_test_folder/test_unit_test.py::test_invalid_deposit FAILED [ 85%]
src/unit_test_folder/test_unit_test.py::test_invalid_withdrawal FAILED [100%]
=================================== FAILURES ===================================
_____________________________ test_invalid_deposit _____________________________
account = <src.code_solution.BankAccount object at 0x7fac0d4f0b90>
def test_invalid_deposit(account):
"""Test that depositing a negative amount raises ValueError."""
> with pytest.raises(ValueError):
E Failed: DID NOT RAISE <c ... (truncated)
2024-08-18 14:51:29,175 - INFO - agent.py - ---GENERATING CODE SOLUTION---
================================== Ai Message ==================================
Here is my attempt to solve the problem: The previous solution did not handle cases where negative amounts were deposited or withdrawn. The unit tests expect a ValueError to be raised in such cases, but the original implementation did not include this validation. To fix this, we need to add checks in the deposit and withdraw methods to raise a ValueError if the amount is negative.
Imports: from datetime import datetime
Code: class BankAccount:
def __init__(self):
self.balance = 0.0
self.transactions = []
def deposit(self, amount: float) -> None:
if amount < 0:
raise ValueError("Deposit amount must be positive.")
self.balance += amount
transaction = {
'type': 'deposit',
'amount': amount,
'date': datetime.now()
}
self.transactions.append(transaction)
def withdraw(self, amount: float) -> bool:
if amount < 0:
raise ValueError("Withdrawal amount must be positive.")
if amount > self.balance:
return False
self.balance -= amount
transaction = {
'type': 'withdrawal',
'amount': amount,
'date': datetime.now()
}
self.transactions.append(transaction)
return True
def get_balance(self) -> float:
return self.balance
def get_transaction_history(self) -> ... (truncated)
2024-08-18 14:51:34,913 - INFO - agent.py - ---CHECKING CODE---
2024-08-18 14:51:35,131 - INFO - agent.py -
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.3.2, pluggy-1.5.0 -- /home/paulo/Python_projects/Self_correcting_coding_agent/venv/bin/python
cachedir: .pytest_cache
rootdir: /home/paulo/Python_projects/Self_correcting_coding_agent
configfile: pyproject.toml
plugins: anyio-4.4.0
collecting ... collected 7 items
src/unit_test_folder/test_unit_test.py::test_initial_balance PASSED [ 14%]
src/unit_test_folder/test_unit_test.py::test_deposit PASSED [ 28%]
src/unit_test_folder/test_unit_test.py::test_withdrawal_successful PASSED [ 42%]
src/unit_test_folder/test_unit_test.py::test_withdrawal_insufficient_funds PASSED [ 57%]
src/unit_test_folder/test_unit_test.py::test_transaction_history PASSED [ 71%]
src/unit_test_folder/test_unit_test.py::test_invalid_deposit PASSED [ 85%]
src/unit_test_folder/test_unit_test.py::test_invalid_withdrawal PASSED [100%]
============================== 7 passed in 0.01s ===============================
2024-08-18 14:51:35,131 - INFO - agent.py - All tests passed!
2024-08-18 14:51:35,131 - INFO - agent.py - ---NO CODE TEST FAILURES---
2024-08-18 14:51:35,133 - INFO - agent.py - ---DECISION: FINISH---