Integrated CI/CD Flow Example #10
Conversation
![codereviewbot-ai[bot]](https://avatars.githubusercontent.com/in/309638?s=60&v=4){kind=small}
| class EventBus: | ||
| """Simple event bus for communication between components.""" | ||
|
|
||
| def __init__(self): | ||
| self.subscribers = {} | ||
|
|
||
| def subscribe(self, event_type: str, callback): | ||
| """Subscribe to an event type.""" | ||
| if event_type not in self.subscribers: | ||
| self.subscribers[event_type] = [] | ||
| self.subscribers[event_type].append(callback) | ||
|
|
||
| def publish(self, event_type: str, data: Any): | ||
| """Publish an event to all subscribers.""" | ||
| if event_type in self.subscribers: | ||
| for callback in self.subscribers[event_type]: | ||
| callback(data) |
There was a problem hiding this comment.
The EventBus class implementation is not thread-safe, which could lead to race conditions when accessed by multiple threads simultaneously. This is particularly concerning in a web application where multiple requests might interact with the EventBus concurrently.
Recommendation:
Consider using thread-safe collections or locking mechanisms to manage subscribers. For instance, you could use threading.Lock to synchronize access to the subscribers dictionary.
| # Set up logging | ||
| logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s") |
There was a problem hiding this comment.
The logging configuration is set globally at the beginning of the script. This approach can potentially interfere with other modules' logging configurations if this script is imported as a module elsewhere.
Recommendation:
To avoid potential conflicts and to make the logging configuration more flexible, consider configuring logging within a function or a class, or check if the logger is already configured before setting it up. This can be achieved by checking logging.root.handlers before applying the basic configuration.
| token=os.environ.get("SLACK_BOT_TOKEN"), | ||
| signing_secret=os.environ.get("SLACK_SIGNING_SECRET") |
There was a problem hiding this comment.
The retrieval of sensitive environment variables (SLACK_BOT_TOKEN and SLACK_SIGNING_SECRET) does not include error handling for cases where these variables might not be set. This can lead to runtime errors if the environment is not configured correctly.
Recommendation:
Add error handling to check if these environment variables are set and provide a clear error message if they are not. This can prevent the application from running with invalid configurations and improve security by ensuring that all necessary credentials are provided.
Example:
slack_token = os.environ.get("SLACK_BOT_TOKEN")
if not slack_token:
raise ValueError("SLACK_BOT_TOKEN environment variable is not set.")| def semantic_search(codebase: Codebase, query: str, k: int = 5) -> List[Tuple[str, float]]: | ||
| """Perform semantic search on the codebase using FileIndex.""" | ||
| # Initialize file index | ||
| index = FileIndex(codebase) | ||
|
|
||
| # Try to load existing index or create new one | ||
| index_path = f"./.codegen/indices/{codebase.repo_name.replace('/', '_')}.pkl" | ||
| try: | ||
| index.load(index_path) | ||
| except FileNotFoundError: | ||
| # Create new index if none exists | ||
| index.create() | ||
| index.save(index_path) | ||
|
|
||
| # Find relevant files | ||
| results = index.similarity_search(query, k=k) | ||
|
|
||
| # Return file paths and scores | ||
| return [(file.filepath, score) for file, score in results] |
There was a problem hiding this comment.
The semantic_search function initializes and loads a file index every time it is called, which involves file I/O operations that can be costly in terms of performance.
Recommendation:
Consider implementing a caching mechanism for the file index to avoid reloading it from the disk on each call. This can be achieved by storing the index in a class-level variable or using a caching library. This change would reduce the number of I/O operations, potentially improving the performance of the function significantly.
Example:
class FileIndexCache:
_cache = {}
@classmethod
def get_index(cls, codebase):
if codebase.repo_name not in cls._cache:
index = FileIndex(codebase)
index.load_or_create()
cls._cache[codebase.repo_name] = index
return cls._cache[codebase.repo_name]
1 participant
This PR adds a comprehensive integrated CI/CD flow example that combines all the existing examples (Linear webhooks, ticket-to-PR, PR review bot, and Slack chatbot) into a cohesive pipeline.
Key Features
FileIndexinstead of deprecatedVectorIndexComponents
Requirements & Planning Hub (Linear + AI)
AI-Assisted Development (Local Checkout + Ticket-to-PR)
Comprehensive Code Review (PR Review Bot + Deep Analysis)
Continuous Knowledge & Assistance (Slack Integration)
Files Added
app.py: Main application with Modal deploymentstandalone.py: Standalone version for local developmentREADME.md: Comprehensive documentation.env.template: Template for environment variablesrequirements.txt: Dependencies for local development