tawada
commented
6 months ago The following changes have been completed.
Commit message: (#32)
utils/config_loader.py
Before:
def load_config(file_path='config.json'):
"""Load configuration from a JSON file.
Args:
file_path (str): Path to the configuration file.
Returns:
dict: Configuration as a dictionary.
"""
try:
with open(file_path) as config_file:
return json.load(config_file)
except FileNotFoundError:
try:
with open(file_path) as config_file:
return json.load(config_file)
except FileNotFoundError:After:
def load_config(file_path='config.json'):
"""Load configuration from a JSON file.
Args:
file_path (str): Path to the configuration file.
Returns:
dict: Configuration as a dictionary.
"""
try:
with open(file_path) as config_file:
return json.load(config_file)
except FileNotFoundError:
log(f'Configuration file {file_path} not found. Loading default configuration.', level='warning')
return get_default_config()
except json.JSONDecodeError as e:
log(f'Error decoding JSON from {file_path}. Details: {e.msg} at line {e.lineno}, column {e.colno}', level='error')
return get_default_config()
After examining the provided codebase, which spans across multiple modules tailored for interacting with GitHub, generating text with LLM (Large Language Models), managing logs, testing routines, and more, there stands out a fundamental issue that may impede functionality: the absence of a centralized management or validation system for environment variables and configuration settings.
The program relies on environment variables (e.g.,
OPENAI_API_KEY,OPENAI_MODEL_NAME) and external configuration files (potentially for logging configurations, GitHub API settings, etc.). However, it doesn't implement a robust method to ensure these variables are set correctly or validate their presence before proceeding with operations that depend on them. This oversight could lead to runtime errors or failed operations, should these variables be unset or misconfigured.Introducing a module or a function early in the application's initialization process to validate critical configurations and environment variables could enhance the application's resilience and usability. Such functionality would not only verify the presence and validity of required settings but could also provide users with informative feedback on what exactly needs to be configured for the application to function as intended.