Closed tawada closed 1 month ago
Describe the specific code.
To standardize the import statements across the codebase, we should establish a clear and consistent approach. Here's a recommended style:
For example, if you need to import the datetime
module from the Python standard library, pytest
from third-party libraries, and some functions from an internal utils
module, they should be imported in this order:
import datetime
import os
import re
import subprocess
import sys
import openai
import pytest
from config import config
from routers import routers_utils
from schemas import Issue
from services import github, llm
from utils.logging_utils import log, setup_logging
from utils.retry_util import retry_on_exception
Here’s how to implement these changes across your codebase. I'll go through each file and adjust the import statements to align with these guidelines.
main.py
import os
import re
import sys
from argparse import ArgumentParser, ArgumentTypeError
from routers import (add_issue, generate_code_from_issue,
generate_code_from_issue_and_reply, generate_readme,
grow_grass, update_issue)
from utils.logging_utils import log, setup_logging
# Establish a dictionary that maps actions to whether they need an issue_id...
config.py
from utils.config_loader import load_config
config = load_config()
utils/config_loader.py
import json
from utils.logging_utils import log
utils/logging_utils.py
from loguru import logger
utils/retry_util.py
import functools
import logging
from time import sleep
tests/test_services_llm.py
import pytest
import services.llm
from services.llm import llm_exceptions
tests/test_routers.py
from datetime import datetime, timedelta
import pytest
import logic.logic_exceptions
import routers
import routers.code_generator
import services.github.exceptions
tests/test_utils_config_loader.py
from pytest_mock import MockFixture
import utils.config_loader
tests/test_services_github.py
import subprocess
import pytest
import services.github
import services.github.exceptions
tests/conftest.py
import pytest
import schemas
tests/test_main.py
import pytest
import main
from main import MissingIssueIDError
routers/code_generator.py
from typing import Union
import logic
import services.github
from logic import logic_exceptions, logic_utils
from utils.logging_utils import log
from .routers_utils import send_messages_to_system
routers/routers_utils.py
import services.llm
routers/__init__.py
import random
import re
from datetime import datetime
from loguru import logger
import logic
import services.github
import services.llm
from utils.logging_utils import log
from .code_generator import (generate_code_from_issue_and_reply,
generate_readme)
from .routers_utils import send_messages_to_system
services/github/__init__.py
import os
import subprocess
from datetime import datetime
from typing import List
from config import config
from schemas import Issue, IssueComment
from services.github import exceptions, github_utils
services/github/github_utils.py
import os
import subprocess
from config import config
from services.github import exceptions
from utils.logging_utils import log
logic/code_modification.py
import dataclasses
import os
import schemas
import services.llm
from utils.logging_utils import log
from . import logic_exceptions, logic_utils
logic/logic_utils.py
import os
import schemas
from config import config
logic/logic_exceptions.py
class CodeNotModifiedError(Exception):
pass
schemas/__init__.py
from dataclasses import dataclass, field
from typing import List
By applying these standardized import statements consistently across the codebase, the readability and maintainability of the project will improve significantly.
One issue with the existing program is the inconsistency in import styles and names across different modules. For example, in some modules, specific functions or classes are imported explicitly, while in others, the entire module is imported using
import module_name
. This inconsistency can lead to confusion and makes the code harder to maintain and understand. It would be beneficial to standardize the import statements across the codebase to improve readability and maintainability.