Serverless application infrastructure #225
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WalkthroughThis pull request introduces extensive modifications across multiple files, primarily enhancing the functionality of serverless benchmarks for AWS, Azure, and GCP. Key changes include the introduction of new trigger types, such as Queue and Storage triggers, and the addition of methods for handling messages in queues and storage operations. The configurations for Python runtime and dependencies have been updated to support new features. Documentation has been improved for clarity on modularity and platform-specific configurations. Overall, these changes aim to provide greater flexibility and functionality in managing serverless functions and their interactions with various cloud services. Changes
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requirements.gcp.txt (1)
7-7:
⚠️ Potential issuePin the google-cloud-pubsub version and maintain consistent spacing.
For consistency with other dependencies and to ensure reproducible builds, please:
- Pin the google-cloud-pubsub version
- Remove the extra newline before the dependency
Apply this diff:
google-cloud-logging==2.0.0 - -google-cloud-pubsub +google-cloud-pubsub==2.18.4Note: The suggested version (2.18.4) is the latest stable release that maintains compatibility with the other pinned dependency versions in your requirements file.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.google-cloud-logging==2.0.0 google-cloud-pubsub==2.18.4benchmarks/wrappers/aws/python/queue.py (2)
3-9:
⚠️ Potential issueMultiple improvements needed for class implementation.
- The class name should follow PascalCase convention (e.g.,
Queue)clientshould be an instance variable, not a class variable- Add error handling for client initialization
- Add input validation
- Add type hints for class variables
Here's the suggested implementation:
-class queue: - client = None +class Queue: + def __init__(self, queue_name: str, account_id: str, region: str) -> None: + if not queue_name or not account_id or not region: + raise ValueError("All parameters must be non-empty strings") - self.client = boto3.client('sqs', region_name=region) - self.queue_url = f"https://sqs.{region}.amazonaws.com/{account_id}/{queue_name}" + try: + self.client: boto3.client = boto3.client('sqs', region_name=region) + self.queue_url: str = f"https://sqs.{region}.amazonaws.com/{account_id}/{queue_name}" + except ClientError as e: + raise RuntimeError(f"Failed to initialize SQS client: {str(e)}")Committable suggestion skipped: line range outside the PR's diff.
10-14:
⚠️ Potential issueEnhance message sending functionality with error handling and documentation.
The current implementation lacks error handling, return values, and documentation.
Here's the suggested implementation:
- def send_message(self, message: str): - self.client.send_message( - QueueUrl=self.queue_url, - MessageBody=message, - ) + def send_message(self, message: str) -> bool: + """Send a message to the SQS queue. + + Args: + message (str): The message to send to the queue + + Returns: + bool: True if message was sent successfully, False otherwise + + Raises: + ClientError: If there's an error with the AWS SQS service + """ + if not message: + raise ValueError("Message cannot be empty") + + try: + self.client.send_message( + QueueUrl=self.queue_url, + MessageBody=message, + ) + return True + except ClientError as e: + print(f"Failed to send message to SQS: {str(e)}") + return False📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, message: str) -> bool: """Send a message to the SQS queue. Args: message (str): The message to send to the queue Returns: bool: True if message was sent successfully, False otherwise Raises: ClientError: If there's an error with the AWS SQS service """ if not message: raise ValueError("Message cannot be empty") try: self.client.send_message( QueueUrl=self.queue_url, MessageBody=message, ) return True except ClientError as e: print(f"Failed to send message to SQS: {str(e)}") return Falsebenchmarks/wrappers/gcp/python/queue.py (2)
3-11:
⚠️ Potential issueMultiple improvements needed for class implementation.
- Class name should be in PascalCase per PEP 8
- Client should be an instance variable
- Missing docstrings
- No error handling for client initialization
- Using old-style string formatting
Apply these improvements:
-class queue: - client = None +class Queue: + """Handles interaction with Google Cloud Pub/Sub for message publishing.""" + + def __init__(self, topic_name: str, project_id: str): + """Initialize the Queue with a topic and project. + + Args: + topic_name: The name of the Pub/Sub topic + project_id: The GCP project ID + + Raises: + google.api_core.exceptions.GoogleAPICallError: If client initialization fails + """ + try: + self.client = pubsub_v1.PublisherClient() + self.topic_name = f'projects/{project_id}/topics/{topic_name}' + except Exception as e: + raise RuntimeError(f"Failed to initialize Pub/Sub client: {e}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.class Queue: """Handles interaction with Google Cloud Pub/Sub for message publishing.""" def __init__(self, topic_name: str, project_id: str): """Initialize the Queue with a topic and project. Args: topic_name: The name of the Pub/Sub topic project_id: The GCP project ID Raises: google.api_core.exceptions.GoogleAPICallError: If client initialization fails """ try: self.client = pubsub_v1.PublisherClient() self.topic_name = f'projects/{project_id}/topics/{topic_name}' except Exception as e: raise RuntimeError(f"Failed to initialize Pub/Sub client: {e}")
13-14:
⚠️ Potential issueEnhance message publishing with error handling and retries.
The current implementation lacks error handling, retries, and message validation necessary for production use.
Implement these improvements:
- def send_message(self, message: str): - self.client.publish(self.topic_name, message.encode("utf-8")) + def send_message(self, message: str) -> PublishResponse: + """Publish a message to the Pub/Sub topic. + + Args: + message: The message to publish + + Returns: + PublishResponse: The response containing the published message ID + + Raises: + ValueError: If message is empty or exceeds size limit + RuntimeError: If publishing fails + """ + if not message: + raise ValueError("Message cannot be empty") + + encoded_message = message.encode("utf-8") + if len(encoded_message) > 10_000_000: # 10MB Pub/Sub limit + raise ValueError("Message exceeds maximum size of 10MB") + + try: + publish_future = self.client.publish( + self.topic_name, + encoded_message, + retry=retry.Retry(deadline=30) # 30 seconds timeout + ) + return publish_future.result() # Wait for message to be published + except Exception as e: + raise RuntimeError(f"Failed to publish message: {e}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, message: str) -> PublishResponse: """Publish a message to the Pub/Sub topic. Args: message: The message to publish Returns: PublishResponse: The response containing the published message ID Raises: ValueError: If message is empty or exceeds size limit RuntimeError: If publishing fails """ if not message: raise ValueError("Message cannot be empty") encoded_message = message.encode("utf-8") if len(encoded_message) > 10_000_000: # 10MB Pub/Sub limit raise ValueError("Message exceeds maximum size of 10MB") try: publish_future = self.client.publish( self.topic_name, encoded_message, retry=retry.Retry(deadline=30) # 30 seconds timeout ) return publish_future.result() # Wait for message to be published except Exception as e: raise RuntimeError(f"Failed to publish message: {e}")benchmarks/wrappers/azure/python/queue.py (3)
4-6:
⚠️ Potential issueRename class to follow Python naming conventions.
Python classes should use PascalCase naming convention. Also,
clientshould be an instance variable, not a class variable.-class queue: - client = None +class Queue: + def __init__(self, queue_name: str, storage_account: str): + self._client: Optional[QueueClient] = NoneCommittable suggestion skipped: line range outside the PR's diff.
14-15:
⚠️ Potential issueAdd error handling and message validation.
The send_message implementation should handle Azure exceptions and validate the message.
def send_message(self, message: str): - self.client.send_message(message) + """Send a message to the Azure Queue. + + Args: + message: The message to send + + Raises: + ValueError: If message is empty + RuntimeError: If sending the message fails + """ + if not message: + raise ValueError("Message cannot be empty") + + try: + self._client.send_message(message) + except Exception as e: + raise RuntimeError(f"Failed to send message to queue: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, message: str): """Send a message to the Azure Queue. Args: message: The message to send Raises: ValueError: If message is empty RuntimeError: If sending the message fails """ if not message: raise ValueError("Message cannot be empty") try: self._client.send_message(message) except Exception as e: raise RuntimeError(f"Failed to send message to queue: {str(e)}") from e
7-12:
⚠️ Potential issueAdd error handling and documentation.
The initialization could fail due to various Azure-related issues. Also, adding docstrings would improve code maintainability.
def __init__(self, queue_name: str, storage_account: str): + """Initialize Azure Queue client. + + Args: + queue_name: Name of the Azure Storage Queue + storage_account: Azure Storage account name + + Raises: + azure.core.exceptions.ClientAuthenticationError: If managed identity authentication fails + ValueError: If queue_name or storage_account is empty + """ + if not queue_name or not storage_account: + raise ValueError("Queue name and storage account must not be empty") + account_url = f"https://{storage_account}.queue.core.windows.net" - managed_credential = ManagedIdentityCredential() - self.client = QueueClient(account_url, - queue_name=queue_name, - credential=managed_credential) + try: + managed_credential = ManagedIdentityCredential() + self._client = QueueClient( + account_url, + queue_name=queue_name, + credential=managed_credential + ) + except Exception as e: + raise RuntimeError(f"Failed to initialize Azure Queue client: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def __init__(self, queue_name: str, storage_account: str): """Initialize Azure Queue client. Args: queue_name: Name of the Azure Storage Queue storage_account: Azure Storage account name Raises: azure.core.exceptions.ClientAuthenticationError: If managed identity authentication fails ValueError: If queue_name or storage_account is empty """ if not queue_name or not storage_account: raise ValueError("Queue name and storage account must not be empty") account_url = f"https://{storage_account}.queue.core.windows.net" try: managed_credential = ManagedIdentityCredential() self._client = QueueClient( account_url, queue_name=queue_name, credential=managed_credential ) except Exception as e: raise RuntimeError(f"Failed to initialize Azure Queue client: {str(e)}") from esebs/azure/function.py (1)
32-50: 🛠️ Refactor suggestion
Consider improving trigger type handling.
The trigger type mapping implementation is functional but could be enhanced for better maintainability.
Consider moving the trigger type mapping to a class constant and improving the error message:
class AzureFunction(Function): + TRIGGER_TYPES = { + "HTTP": HTTPTrigger, + "Queue": QueueTrigger, + "Storage": StorageTrigger + } @staticmethod def deserialize(cached_config: dict) -> Function: from sebs.faas.function import Trigger from sebs.azure.triggers import HTTPTrigger, QueueTrigger, StorageTrigger # ... existing code ... for trigger in cached_config["triggers"]: trigger_type = cast( Trigger, - {"HTTP": HTTPTrigger, "Queue": QueueTrigger, "Storage": StorageTrigger}.get( - trigger["type"] - ), + AzureFunction.TRIGGER_TYPES.get(trigger["type"]), ) - assert trigger_type, "Unknown trigger type {}".format(trigger["type"]) + assert trigger_type, f"Unknown trigger type '{trigger['type']}'. Supported types: {', '.join(AzureFunction.TRIGGER_TYPES.keys())}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.from sebs.faas.function import Trigger from sebs.azure.triggers import HTTPTrigger, QueueTrigger, StorageTrigger class AzureFunction(Function): TRIGGER_TYPES = { "HTTP": HTTPTrigger, "Queue": QueueTrigger, "Storage": StorageTrigger } cfg = FunctionConfig.deserialize(cached_config["config"]) ret = AzureFunction( cached_config["name"], cached_config["benchmark"], cached_config["hash"], AzureResources.Storage.deserialize(cached_config["function_storage"]), cfg, cached_config["application_name"], ) for trigger in cached_config["triggers"]: trigger_type = cast( Trigger, AzureFunction.TRIGGER_TYPES.get(trigger["type"]), ) assert trigger_type, f"Unknown trigger type '{trigger['type']}'. Supported types: {', '.join(AzureFunction.TRIGGER_TYPES.keys())}"config/example.json (1)
9-9: 💡 Codebase verification
Python 3.9 runtime is supported across providers, but OpenWhisk config needs attention
The verification shows that Python 3.9 runtime is properly configured in most cloud providers:
- AWS Lambda:
amazon/aws-lambda-python:3.9- Azure Functions:
mcr.microsoft.com/azure-functions/python:3.0-python3.9- Base Python:
python:3.9-slimHowever, there's an inconsistency in the OpenWhisk configuration:
- It only lists Python 3.7 and 3.9 images, missing 3.8
- This might cause issues with version selection logic in the benchmarking system
🔗 Analysis chain
LGTM! Verify cloud provider support.
The update to Python 3.9 is a good choice as it includes performance improvements relevant for benchmarking. The version is well-supported across major cloud providers.
Let's verify the Python runtime support in the deployment configurations:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for Python runtime configurations across deployment files # Expected: Consistent Python 3.9 runtime specifications # Search for Python version specifications in deployment configs rg -g '*.{json,yaml,yml}' -A 5 'python.*3\.[0-9]|runtime.*python'Length of output: 1623
sebs/gcp/function.py (1)
34-34: 🛠️ Refactor suggestion
Consider making trigger mapping more maintainable.
While the implementation is correct, the trigger mapping could be made more maintainable by moving it to a class attribute or separate configuration.
Here's a suggested refactoring:
class GCPFunction(Function): + TRIGGER_TYPES = { + "Library": LibraryTrigger, + "HTTP": HTTPTrigger, + "Queue": QueueTrigger, + "Storage": StorageTrigger, + } @staticmethod def deserialize(cached_config: dict) -> "GCPFunction": from sebs.faas.function import Trigger from sebs.gcp.triggers import LibraryTrigger, HTTPTrigger, QueueTrigger, StorageTrigger # ... other code ... for trigger in cached_config["triggers"]: - trigger_type = cast( - Trigger, - { - "Library": LibraryTrigger, - "HTTP": HTTPTrigger, - "Queue": QueueTrigger, - "Storage": StorageTrigger, - }.get(trigger["type"]), - ) + trigger_type = cast(Trigger, GCPFunction.TRIGGER_TYPES.get(trigger["type"]))This approach:
- Makes it easier to maintain the trigger type mapping
- Reduces code duplication if the mapping is needed elsewhere
- Improves readability of the deserialize method
Also applies to: 48-53
benchmarks/wrappers/aws/python/storage.py (3)
24-28:
⚠️ Potential issueAdd input validation and error handling.
The upload method needs additional safeguards:
- Validate bucket existence
- Check if file exists when overwriting
- Add error handling for S3 operations
- Sanitize the filename to prevent path traversal attacks
Consider implementing these improvements:
def upload(self, bucket, file, filepath, overwrite=False): + try: + # Validate bucket exists + self.client.head_bucket(Bucket=bucket) + + # Sanitize filename + file = os.path.basename(file) + key_name = storage.unique_name(file) if (overwrite): + # Check if file exists when overwriting + try: + self.client.head_object(Bucket=bucket, Key=file) + except self.client.exceptions.ClientError as e: + if e.response['Error']['Code'] == '404': + raise ValueError(f"File {file} does not exist for overwriting") + raise key_name = file - self.client.upload_file(filepath, bucket, key_name) + + self.client.upload_file(filepath, bucket, key_name) + return key_name + except self.client.exceptions.ClientError as e: + raise RuntimeError(f"Failed to upload file: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def upload(self, bucket, file, filepath, overwrite=False): try: # Validate bucket exists self.client.head_bucket(Bucket=bucket) # Sanitize filename file = os.path.basename(file) key_name = storage.unique_name(file) if (overwrite): # Check if file exists when overwriting try: self.client.head_object(Bucket=bucket, Key=file) except self.client.exceptions.ClientError as e: if e.response['Error']['Code'] == '404': raise ValueError(f"File {file} does not exist for overwriting") raise key_name = file self.client.upload_file(filepath, bucket, key_name) return key_name except self.client.exceptions.ClientError as e: raise RuntimeError(f"Failed to upload file: {str(e)}")
52-54:
⚠️ Potential issueEnhance get_object method with proper error handling and streaming.
Current implementation has several limitations:
- Assumes UTF-8 encoding for all files
- No error handling
- Loads entire file into memory
- No content type validation
Consider implementing these improvements:
def get_object(self, bucket, file): - obj = self.client.get_object(Bucket=bucket, Key=file) - return obj['Body'].read().decode('utf-8') + try: + obj = self.client.get_object(Bucket=bucket, Key=file) + + # Check content type + content_type = obj.get('ContentType', '') + if not content_type.startswith('text/'): + raise ValueError(f"Unsupported content type: {content_type}") + + # Stream the content instead of loading it all at once + chunks = [] + for chunk in obj['Body'].iter_chunks(chunk_size=4096): + try: + chunks.append(chunk.decode('utf-8')) + except UnicodeDecodeError: + raise ValueError("File is not UTF-8 encoded") + + return ''.join(chunks) + except self.client.exceptions.NoSuchKey: + raise ValueError(f"Object {file} does not exist in bucket {bucket}") + except self.client.exceptions.ClientError as e: + raise RuntimeError(f"Failed to get object: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def get_object(self, bucket, file): try: obj = self.client.get_object(Bucket=bucket, Key=file) # Check content type content_type = obj.get('ContentType', '') if not content_type.startswith('text/'): raise ValueError(f"Unsupported content type: {content_type}") # Stream the content instead of loading it all at once chunks = [] for chunk in obj['Body'].iter_chunks(chunk_size=4096): try: chunks.append(chunk.decode('utf-8')) except UnicodeDecodeError: raise ValueError("File is not UTF-8 encoded") return ''.join(chunks) except self.client.exceptions.NoSuchKey: raise ValueError(f"Object {file} does not exist in bucket {bucket}") except self.client.exceptions.ClientError as e: raise RuntimeError(f"Failed to get object: {str(e)}")
61-68:
⚠️ Potential issueUpdate list_blobs to use list_objects_v2 with pagination and error handling.
Current implementation has several limitations:
- Uses deprecated list_objects API
- Doesn't handle pagination
- No error handling
- No support for prefix/delimiter for folder-like operations
Consider implementing these improvements:
-def list_blobs(self, bucket): - res = self.client.list_objects(Bucket=bucket) - - objs = [] - for obj in res['Contents']: - objs.append(obj['Key']) - - return objs +def list_blobs(self, bucket, prefix='', delimiter=''): + """ + List objects in a bucket with pagination support. + + Args: + bucket (str): Bucket name + prefix (str): Filter objects by prefix + delimiter (str): Delimiter for folder-like hierarchy + """ + try: + objs = [] + paginator = self.client.get_paginator('list_objects_v2') + params = { + 'Bucket': bucket, + 'PaginationConfig': {'PageSize': 1000} + } + if prefix: + params['Prefix'] = prefix + if delimiter: + params['Delimiter'] = delimiter + + for page in paginator.paginate(**params): + if 'Contents' in page: + objs.extend(obj['Key'] for obj in page['Contents']) + + return objs + except self.client.exceptions.NoSuchBucket: + raise ValueError(f"Bucket {bucket} does not exist") + except self.client.exceptions.ClientError as e: + raise RuntimeError(f"Failed to list objects: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def list_blobs(self, bucket, prefix='', delimiter=''): """ List objects in a bucket with pagination support. Args: bucket (str): Bucket name prefix (str): Filter objects by prefix delimiter (str): Delimiter for folder-like hierarchy """ try: objs = [] paginator = self.client.get_paginator('list_objects_v2') params = { 'Bucket': bucket, 'PaginationConfig': {'PageSize': 1000} } if prefix: params['Prefix'] = prefix if delimiter: params['Delimiter'] = delimiter for page in paginator.paginate(**params): if 'Contents' in page: objs.extend(obj['Key'] for obj in page['Contents']) return objs except self.client.exceptions.NoSuchBucket: raise ValueError(f"Bucket {bucket} does not exist") except self.client.exceptions.ClientError as e: raise RuntimeError(f"Failed to list objects: {str(e)}")benchmarks/wrappers/gcp/python/storage.py (2)
71-78: 🛠️ Refactor suggestion
Enhance list_blobs with pagination and filtering support.
The current implementation could be improved for better efficiency and functionality:
- def list_blobs(self, bucket): + def list_blobs(self, bucket: str, prefix: str = None, delimiter: str = None) -> list[str]: + """List objects in a GCP Storage bucket. + + Args: + bucket: The name of the bucket + prefix: Optional prefix to filter objects + delimiter: Optional delimiter for hierarchy simulation + + Returns: + List of object keys + + Raises: + google.cloud.exceptions.NotFound: If the bucket doesn't exist + """ - res = self.client.list_blobs(bucket) - - objs = [] - for obj in res: - objs.append(obj.name) - - return objs + try: + blobs = self.client.list_blobs( + bucket, + prefix=prefix, + delimiter=delimiter + ) + return [blob.name for blob in blobs] + except google.cloud.exceptions.NotFound: + raiseConsider implementing pagination if you need to handle buckets with many objects:
def list_blobs_with_pagination(self, bucket: str, prefix: str = None, delimiter: str = None, page_size: int = 1000) -> Generator[str, None, None]: """List objects in a GCP Storage bucket with pagination support.""" pages = self.client.list_blobs( bucket, prefix=prefix, delimiter=delimiter ).pages for page in pages: for blob in page: yield blob.name
60-64:
⚠️ Potential issueFix incorrect blob access pattern and add error handling.
The current implementation has critical issues:
- It incorrectly tries to access a 'Body' key which is AWS S3's pattern, not GCP's
- Missing error handling for non-existent objects
- Assumes UTF-8 encoding without validation
Apply this fix:
- def get_object(self, bucket, key): + def get_object(self, bucket: str, key: str) -> str: + """Retrieve and decode an object's contents from GCP Storage. + + Args: + bucket: The name of the bucket + key: The object key to retrieve + + Returns: + The decoded contents of the object + + Raises: + google.cloud.exceptions.NotFound: If the object doesn't exist + UnicodeDecodeError: If content cannot be decoded as UTF-8 + """ bucket_instance = self.client.bucket(bucket) blob = bucket_instance.blob(key) - contents = blob.download_as_bytes() - return contents['Body'].read().decode('utf-8') + try: + contents = blob.download_as_bytes() + return contents.decode('utf-8') + except google.cloud.exceptions.NotFound: + raise + except UnicodeDecodeError as e: + raise UnicodeDecodeError(f"Content is not valid UTF-8: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def get_object(self, bucket: str, key: str) -> str: """Retrieve and decode an object's contents from GCP Storage. Args: bucket: The name of the bucket key: The object key to retrieve Returns: The decoded contents of the object Raises: google.cloud.exceptions.NotFound: If the object doesn't exist UnicodeDecodeError: If content cannot be decoded as UTF-8 """ bucket_instance = self.client.bucket(bucket) blob = bucket_instance.blob(key) try: contents = blob.download_as_bytes() return contents.decode('utf-8') except google.cloud.exceptions.NotFound: raise except UnicodeDecodeError as e: raise UnicodeDecodeError(f"Content is not valid UTF-8: {str(e)}")benchmarks/wrappers/azure/python/storage.py (1)
62-65: 🛠️ Refactor suggestion
Consider optimizing blob download performance
The current implementation has two potential areas for improvement:
- Setting
max_concurrency=1might impact performance for large blobs- Missing error handling for non-existent blobs
Consider this improved implementation:
def get_object(self, container, key): blob_client = self.client.get_blob_client(container=container, blob=key) try: # Remove max_concurrency=1 to allow parallel download chunks downloader = blob_client.download_blob(encoding='UTF-8') return downloader.readall() except azure.core.exceptions.ResourceNotFoundError as e: raise Exception(f"Blob {key} not found in container {container}") from econfig/systems.json (2)
122-124:
⚠️ Potential issueRemove newline characters from package names.
The package names contain explicit newline characters which could cause issues during dependency installation:
- "azure-storage-blob", - "\nazure-storage-queue", - "\nazure-identity" + "azure-storage-blob", + "azure-storage-queue", + "azure-identity"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements."azure-storage-blob", "azure-storage-queue", "azure-identity"
169-170:
⚠️ Potential issueAdd Google Cloud Pub/Sub dependency for queue operations.
While
queue.pyhas been added, the requiredgoogle-cloud-pubsubdependency is missing from the packages list. This is needed for GCP queue operations."packages": [ - "google-cloud-storage" + "google-cloud-storage", + "google-cloud-pubsub" ]Committable suggestion skipped: line range outside the PR's diff.
sebs/utils.py (1)
130-143: 🛠️ Refactor suggestion
Enhance robustness and documentation of
find_benchmark.While the changes are logical, consider these improvements:
def find_benchmark(benchmark: str, path: str, function: Optional[str] = None): + if not benchmark or not path: + raise ValueError("benchmark and path must not be empty") + benchmarks_dir = os.path.join(PROJECT_DIR, path) benchmark_path = find(benchmark, benchmarks_dir) + if not benchmark_path: + return None if (function): benchmark_path = find(function, benchmark_path) return benchmark_pathAlso, consider enhancing the docstring to specify:
- Return value description (None if not found)
- Example usage
- Path format expectations
Committable suggestion skipped: line range outside the PR's diff.
sebs/faas/storage.py (1)
146-147:
⚠️ Potential issueAdd input validation for benchmark string format.
The current implementation assumes the benchmark string always follows the 'xxx.map-reduce' format and contains at least 2 segments. This could lead to an IndexError if the format is incorrect.
Consider adding validation and using a safer approach:
-root_benchmark = '{}.{}'.format(benchmark.split('.')[0], benchmark.split('.')[1]) +parts = benchmark.split('.') +if len(parts) < 2: + raise ValueError(f"Invalid benchmark format: {benchmark}. Expected format: xxx.map-reduce") +root_benchmark = f"{parts[0]}.{parts[1]}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# The root benchmark name, i.e. xxx.map-reduce. parts = benchmark.split('.') if len(parts) < 2: raise ValueError(f"Invalid benchmark format: {benchmark}. Expected format: xxx.map-reduce") root_benchmark = f"{parts[0]}.{parts[1]}"tests/aws/create_function.py (1)
38-39: 💡 Codebase verification
Queue files referenced in test are missing from the codebase
The test file
tests/aws/create_function.pyreferencesfunction/queue.pyandfunction/queue.jsin the package files, but these files are not present in the expected location underbenchmarks/wrappers/. This mismatch needs to be addressed to ensure the tests will pass.
- Missing file:
benchmarks/wrappers/aws/python/queue.py- Missing file:
benchmarks/wrappers/aws/nodejs/queue.js🔗 Analysis chain
LGTM! Verify the existence of new queue files.
The addition of
function/queue.pyto the package files for both Python and Node.js runtimes is consistent with the PR's objective of enhancing serverless benchmarks with queue functionality.Let's verify the existence of the new queue files:
The previous attempt failed because we assumed a specific directory structure. Let's first understand the repository layout to correctly locate these files.
The repository scan shows that the wrapper files are located in
benchmarks/wrappers/for each cloud provider. Let's verify the existence and status of the queue files in this location.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the queue files exist in the expected locations # Test: Check if the queue files exist echo "Checking for Python queue file..." fd -t f "queue.py" -p "function/" echo "Checking for Node.js queue file..." fd -t f "queue.js" -p "function/"Length of output: 413
Script:
#!/bin/bash # Let's try a different approach to locate the queue files # First, let's understand the repository structure # Find all Python files echo "Python files:" fd -e py echo -e "\nJavaScript files:" fd -e js echo -e "\nDirectories containing 'function':" fd -t d functionLength of output: 5402
Script:
#!/bin/bash # Now that we see the repository structure, let's check for queue files in the wrappers directory # which seems to be the correct location based on the repository structure echo "Python queue files in wrappers:" rg -l "queue\.py" benchmarks/wrappers/ echo -e "\nJavaScript queue files in wrappers:" rg -l "queue\.js" benchmarks/wrappers/ # Let's also check if these files are newly added in the PR echo -e "\nGit status of queue files:" git status --porcelain "benchmarks/wrappers/**/queue.*"Length of output: 368
sebs/faas/system.py (1)
321-324: 💡 Codebase verification
Breaking change:
default_application_namenot implemented in all child classesThe abstract method
default_application_nameis missing implementation in:
sebs/local/local.pysebs/openwhisk/openwhisk.pyThe method is properly implemented in:
- AWS (static method)
- Azure (instance method)
- GCP (static method)
Each implementation follows a similar pattern of combining application name, language name, and version, but with platform-specific formatting. The inconsistency in static vs instance methods should also be addressed.
🔗 Analysis chain
Add docstring to explain the purpose of
default_application_name.The new abstract method lacks documentation. Please add a docstring explaining:
- The purpose of this method
- The relationship between application name and function name
- The expected format of the returned string
- Any constraints or conventions that implementations should follow
@abstractmethod def default_application_name(self, code_package: Benchmark) -> str: + """ + Generate a default application name for the given benchmark. + + Args: + code_package: The benchmark containing metadata for naming. + + Returns: + str: The default application name following platform-specific conventions. + """ passVerify implementations of
default_application_namein child classes.This is a breaking change that requires implementation in all child classes.
The previous ast-grep pattern might have failed due to syntax. Let's try a simpler pattern:
Let's also check the base class to understand the inheritance hierarchy:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Find all implementations of default_application_name ast-grep --pattern 'def default_application_name(self, code_package: Benchmark) -> str:'Length of output: 157
Script:
#!/bin/bash # Search for Python files that might contain child classes fd -e py | xargs rg -l "class \w+\(.*System\)" # Then search for default_application_name implementations fd -e py | xargs rg "def default_application_name"Length of output: 549
Script:
#!/bin/bash ast-grep --pattern 'def default_application_name'Length of output: 51
Script:
#!/bin/bash rg -A 5 "class.*System.*:"Length of output: 1491
Script:
#!/bin/bash # Let's check the actual implementations to verify they're complete rg -B 2 -A 5 "def default_application_name" sebs/gcp/gcp.py sebs/azure/azure.py sebs/aws/aws.py sebs/local/local.py sebs/openwhisk/openwhisk.pyLength of output: 1523
sebs/faas/function.py (1)
241-286:
⚠️ Potential issueSeveral improvements needed in collect_async_results method
The method needs improvements in robustness and readability:
- Add timeout protection to prevent infinite loops
- Add error handling for JSON parsing
- Improve type safety and readability
Here's the suggested implementation:
- def collect_async_results(self, result_queue: Queue) -> dict: + def collect_async_results(self, result_queue: Queue, timeout: Optional[float] = None) -> Dict[datetime, dict]: + from typing import Dict + # Executions map from function invocation id to the # of new functions # invoked by that id. - executions = {} - ret = {} - message = "" + executions: Dict[str, int] = {} + ret: Dict[datetime, dict] = {} + start_time = datetime.now() - while (True): - message = result_queue.receive_message() - if (message != ""): - end = datetime.now() + while True: + if timeout and (datetime.now() - start_time).total_seconds() > timeout: + raise TimeoutError("Async result collection timed out") - message = json.loads(message) + message = result_queue.receive_message() + if not message: + continue + + try: + parsed_message = json.loads(message) + except json.JSONDecodeError as e: + self.logging.error(f"Failed to parse message: {message}") + raise RuntimeError(f"Invalid message format: {e}") + + end = datetime.now() + ret[end] = parsed_message + + # Process function triggers + if 'fns_triggered' in parsed_message['result']: + execution_id = parsed_message['request_id'] + fns_triggered = parsed_message['result']['fns_triggered'] + executions[execution_id] = executions.get(execution_id, 0) + fns_triggered + + if executions[execution_id] == 0: + executions.pop(execution_id) + + # Process parent execution updates + if 'parent_execution_id' in parsed_message['result']: + parent_id = parsed_message['result']['parent_execution_id'] + executions[parent_id] = executions.get(parent_id, 0) - 1 + + if executions[parent_id] == 0: + executions.pop(parent_id) + + if not executions: + break - ret[end] = message - - if ('fns_triggered' in message['result']): - fns_triggered = message['result']['fns_triggered'] - execution_id = message['request_id'] - - if (execution_id not in executions): - executions[execution_id] = fns_triggered - else: - executions[execution_id] += fns_triggered - if (executions[execution_id] == 0): - executions.pop(execution_id) - - if ('parent_execution_id' in message['result']): - parent_execution_id = message['result']['parent_execution_id'] - - if (parent_execution_id in executions): - executions[parent_execution_id] -= 1 - else: - executions[parent_execution_id] = -1 - if (executions[parent_execution_id] == 0): - executions.pop(parent_execution_id) - - if (not executions): - break - - message = "" return retThe improvements include:
- Added timeout protection
- Added proper type hints
- Added error handling for JSON parsing
- Simplified execution tracking logic
- Removed unnecessary message reset
- Improved code organization and readability
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def collect_async_results(self, result_queue: Queue, timeout: Optional[float] = None) -> Dict[datetime, dict]: from typing import Dict # Executions map from function invocation id to the # of new functions # invoked by that id. executions: Dict[str, int] = {} ret: Dict[datetime, dict] = {} start_time = datetime.now() while True: if timeout and (datetime.now() - start_time).total_seconds() > timeout: raise TimeoutError("Async result collection timed out") message = result_queue.receive_message() if not message: continue try: parsed_message = json.loads(message) except json.JSONDecodeError as e: self.logging.error(f"Failed to parse message: {message}") raise RuntimeError(f"Invalid message format: {e}") end = datetime.now() ret[end] = parsed_message # Process function triggers if 'fns_triggered' in parsed_message['result']: execution_id = parsed_message['request_id'] fns_triggered = parsed_message['result']['fns_triggered'] executions[execution_id] = executions.get(execution_id, 0) + fns_triggered if executions[execution_id] == 0: executions.pop(execution_id) # Process parent execution updates if 'parent_execution_id' in parsed_message['result']: parent_id = parsed_message['result']['parent_execution_id'] executions[parent_id] = executions.get(parent_id, 0) - 1 if executions[parent_id] == 0: executions.pop(parent_id) if not executions: break return retdocs/modularity.md (2)
270-271:
⚠️ Potential issueDocumentation update needed for queue.py integration.
The addition of
queue.pyto the deployment files indicates support for queue-based triggers, but there's no corresponding documentation explaining:
- The purpose and functionality of queue.py
- How to implement queue triggers in new platforms
- Configuration requirements for queue-based functions
Consider adding a new section under "New Serverless Platform" that explains queue trigger implementation requirements and best practices.
307-307:
⚠️ Potential issueUpdate method signature documentation.
The
package_codemethod signature has been updated to include an optionaltriggerparameter, but the documentation doesn't explain:
- The purpose of this parameter
- Valid trigger types
- How different triggers affect packaging
Add documentation explaining how the
triggerparameter affects function packaging and deployment.sebs/benchmark.py (3)
212-216:
⚠️ Potential issueFix string formatting in error message.
The error message uses an f-string inside a
.format()call, which could lead to unexpected results. Also, the benchmark variable is referenced before the f-string.- benchmark = f"{self._benchmark}-{app_function_name}" if app_function_name is not None else self._benchmark - raise RuntimeError("Benchmark {benchmark} not found!".format(benchmark=benchmark)) + display_name = f"{self._benchmark}-{app_function_name}" if app_function_name is not None else self._benchmark + raise RuntimeError(f"Benchmark {display_name} not found!")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.self._application_name = benchmark if app_function_name is not None else None self._benchmark_path = find_benchmark(self.benchmark, "benchmarks", app_function_name) if not self._benchmark_path: display_name = f"{self._benchmark}-{app_function_name}" if app_function_name is not None else self._benchmark raise RuntimeError(f"Benchmark {display_name} not found!")
91-93: 🛠️ Refactor suggestion
Simplify dictionary access using
dict.get().The current implementation can be simplified using Python's
dict.get()method with a default value.- json_object["trigger"] if "trigger" in json_object else None, - json_object["entrypoint"] if "entrypoint" in json_object else None, - json_object["result_queue"] if "result_queue" in json_object else None + json_object.get("trigger", None), + json_object.get("entrypoint", None), + json_object.get("result_queue", None)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.json_object.get("trigger", None), json_object.get("entrypoint", None), json_object.get("result_queue", None)🧰 Tools
🪛 Ruff
91-91: Use
json_object.get("trigger", None)instead of anifblockReplace with
json_object.get("trigger", None)(SIM401)
92-92: Use
json_object.get("entrypoint", None)instead of anifblockReplace with
json_object.get("entrypoint", None)(SIM401)
93-93: Use
json_object.get("result_queue", None)instead of anifblockReplace with
json_object.get("result_queue", None)(SIM401)
594-599:
⚠️ Potential issueMake benchmark name parsing more robust.
The current implementation assumes the benchmark name has at least two segments separated by dots. This could raise an IndexError if the benchmark name doesn't match the expected format.
- root_benchmark = '{}.{}'.format(self.benchmark.split('.')[0], self.benchmark.split('.')[1]) + parts = self.benchmark.split('.') + if len(parts) < 2: + raise ValueError(f"Invalid benchmark name format: {self.benchmark}. Expected format: xxx.yyy[.zzz]") + root_benchmark = f"{parts[0]}.{parts[1]}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# The root benchmark name, i.e. xxx.airline-booking. parts = self.benchmark.split('.') if len(parts) < 2: raise ValueError(f"Invalid benchmark name format: {self.benchmark}. Expected format: xxx.yyy[.zzz]") root_benchmark = f"{parts[0]}.{parts[1]}" benchmark_data_path = find_benchmark(root_benchmark, "benchmarks-data") temp_path = find_benchmark(root_benchmark, "benchmarks") mod = load_benchmark_input(temp_path)sebs/faas/queue.py (2)
14-17:
⚠️ Potential issueFix the decorator order for
deployment_name()methodIn Python, when using both
@abstractmethodand@staticmethod, the@abstractmethoddecorator should follow@staticmethod. The current order may prevent the method from being recognized as abstract.Apply this diff to fix the decorator order:
- @staticmethod - @abstractmethod + @abstractmethod + @staticmethod def deployment_name() -> str: pass📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@abstractmethod @staticmethod def deployment_name() -> str: pass
19-30: 🛠️ Refactor suggestion
Add return type annotations to property methods
To enhance code clarity and support static type checking, consider adding return type annotations to the property methods
region,queue_type, andname.Apply the following diffs:
For the
regionproperty:@property - def region(self): + def region(self) -> str: return self._regionFor the
queue_typeproperty:@property - def queue_type(self): + def queue_type(self) -> QueueType: return self._queue_typeFor the
nameproperty:@property - def name(self): + def name(self) -> str: return self._name📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@property def region(self) -> str: return self._region @property def queue_type(self) -> QueueType: return self._queue_type @property def name(self) -> str: return self._namesebs/azure/queue.py (6)
63-66:
⚠️ Potential issueAdd Exception Handling in
send_messageMethodIn the
send_messagemethod (lines 63-66), exceptions raised byself.client.send_message(e.g., network issues, authentication errors) are not handled. This could lead to unhandled exceptions and application crashes.Implement a try-except block to handle potential exceptions:
def send_message(self, serialized_message: str): - self.client.send_message(serialized_message) - self.logging.info(f"Sent message to queue {self.name}") + try: + self.client.send_message(serialized_message) + self.logging.info(f"Sent message to queue {self.name}") + except Exception as e: + self.logging.error(f"Failed to send message to queue {self.name}: {e}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, serialized_message: str): try: self.client.send_message(serialized_message) self.logging.info(f"Sent message to queue {self.name}") except Exception as e: self.logging.error(f"Failed to send message to queue {self.name}: {e}")
43-45: 🛠️ Refactor suggestion
Specify Message Encoding and Decoding Policies
When initializing
QueueClient(lines 43-45), consider specifyingmessage_encode_policyandmessage_decode_policyto ensure consistent message serialization and deserialization, especially if using custom formats.Example:
self.client = QueueClient( self.account_url, queue_name=self.name, credential=default_credential, + message_encode_policy=YourEncodePolicy(), + message_decode_policy=YourDecodePolicy() )Replace
YourEncodePolicyandYourDecodePolicywith the appropriate policy classes.Committable suggestion skipped: line range outside the PR's diff.
20-22:
⚠️ Potential issueUse Exception Handling Instead of Assertion
The
storage_accountproperty currently uses anassertstatement to check if_storage_accountis set (lines 20-22). Assertions can be disabled with optimization flags, which might lead to unexpected behavior in production.Consider raising an exception to ensure the check is always enforced:
def storage_account(self) -> str: - assert self._storage_account + if not self._storage_account: + raise ValueError("Storage account is not set.") return self._storage_account📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def storage_account(self) -> str: if not self._storage_account: raise ValueError("Storage account is not set.") return self._storage_account
28-45: 🛠️ Refactor suggestion
Initialize
DefaultAzureCredentialOnceCurrently,
DefaultAzureCredentialis instantiated inside the__init__method (line 35), which creates a new credential instance for eachAzureQueueobject. This can be inefficient if multiple queues are used.Consider initializing
DefaultAzureCredentialonce and reusing it across instances:+default_credential = DefaultAzureCredential() class AzureQueue(Queue): ... def __init__( self, benchmark: str, queue_type: QueueType, storage_account: str, region: str ): - default_credential = DefaultAzureCredential() super().__init__( benchmark, queue_type, region ) self._storage_account = storage_account self.client = QueueClient( self.account_url, queue_name=self.name, credential=default_credential )This improves performance by reducing redundancy.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.default_credential = DefaultAzureCredential() def __init__( self, benchmark: str, queue_type: QueueType, storage_account: str, region: str ): super().__init__( benchmark, queue_type, region ) self._storage_account = storage_account self.client = QueueClient(self.account_url, queue_name=self.name, credential=default_credential)
67-83:
⚠️ Potential issueEnhance Exception Handling and Remove Sleep in
receive_messageThe
receive_messagemethod (lines 67-83) lacks exception handling forself.client.receive_messages, which may raise exceptions. Additionally, the use oftime.sleep(5)delays the response, which might not be suitable in all contexts.Refactor the method to handle exceptions and eliminate unnecessary delays:
def receive_message(self) -> str: self.logging.info(f"Pulling a message from {self.name}") - response = self.client.receive_messages( - max_messages=1, - timeout=5, - ) - - for msg in response: - self.logging.info(f"Received a message from {self.name}") - self.client.delete_message(msg) - return msg.content - - self.logging.info("No messages to be received") - - time.sleep(5) - return "" + try: + response = self.client.receive_messages( + max_messages=1, + timeout=5, + ) + for msg in response: + self.logging.info(f"Received a message from {self.name}") + self.client.delete_message(msg) + return msg.content + self.logging.info("No messages received") + return "" + except Exception as e: + self.logging.error(f"Failed to receive message from {self.name}: {e}") + return ""If pausing is necessary, consider handling it outside this method or making it configurable.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def receive_message(self) -> str: self.logging.info(f"Pulling a message from {self.name}") try: response = self.client.receive_messages( max_messages=1, timeout=5, ) for msg in response: self.logging.info(f"Received a message from {self.name}") self.client.delete_message(msg) return msg.content self.logging.info("No messages received") return "" except Exception as e: self.logging.error(f"Failed to receive message from {self.name}: {e}") return ""
94-100:
⚠️ Potential issueCorrect Parameter Mapping in
deserializeMethodIn the
deserializemethod (lines 94-100), the arguments passed toAzureQueuemay not align with the__init__method signature. The__init__method expectsbenchmarkas the first parameter, butobj["name"]is being passed instead.Verify and adjust the parameter mapping to ensure the object is deserialized correctly. For example:
Option 1: Update the
deserializemethod ifbenchmarkshould come fromobj["benchmark"]:def deserialize(obj: dict) -> "AzureQueue": return AzureQueue( - obj["name"], + obj["benchmark"], obj["type"], obj["storage_account"], obj["region"] )Option 2: Modify the
__init__method to acceptnameif that's the intended parameter:def __init__( self, + name: str, benchmark: str, queue_type: QueueType, storage_account: str, region: str ): super().__init__( - benchmark, + name, queue_type, region ) self._storage_account = storage_account + self.name = nameAnd adjust the
deserializemethod accordingly.Committable suggestion skipped: line range outside the PR's diff.
sebs/aws/queue.py (8)
75-81:
⚠️ Potential issueAdd exception handling for AWS SDK calls in
send_messagemethod.The
send_messagemethod does not handle exceptions that may be raised by the AWS SDK when sending a message to the queue. Unhandled exceptions could cause the application to crash.Consider wrapping the AWS SDK call in a try-except block to handle potential exceptions.
def send_message(self, serialized_message: str): try: self.client.send_message( QueueUrl=self.queue_url, MessageBody=serialized_message, ) self.logging.info(f"Sent message to queue {self.name}") except self.client.exceptions.ClientError as e: self.logging.error(f"Failed to send message to queue {self.name}: {e}") # Handle exception as appropriate, possibly re-raising or retrying
82-107:
⚠️ Potential issueAdd exception handling for AWS SDK calls in
receive_messagemethod.The
receive_messagemethod may raise exceptions from the AWS SDK. To prevent the application from crashing due to unhandled exceptions, consider adding exception handling.Wrap the AWS SDK calls in a try-except block:
def receive_message(self) -> str: self.logging.info(f"Pulling a message from {self.name}") try: response = self.client.receive_message( QueueUrl=self.queue_url, AttributeNames=["SentTimestamp"], MaxNumberOfMessages=1, MessageAttributeNames=["All"], WaitTimeSeconds=5, ) if "Messages" not in response: self.logging.info("No messages to be received") return "" self.logging.info(f"Received a message from {self.name}") # Delete the message from the queue - serves as an acknowledgement self.client.delete_message( QueueUrl=self.queue_url, ReceiptHandle=response["Messages"][0]["ReceiptHandle"], ) return response["Messages"][0]["Body"] except self.client.exceptions.ClientError as e: self.logging.error(f"Failed to receive message from queue {self.name}: {e}") # Handle exception as appropriate, possibly re-raising or returning an error indicator return ""
4-4:
⚠️ Potential issueRemove unused import
sebs.faas.config.Resources.The import
sebs.faas.config.Resourcesis unused and can be removed to keep the code clean.Apply this diff:
-from sebs.faas.config import Resources📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
🪛 Ruff
4-4:
sebs.faas.config.Resourcesimported but unusedRemove unused import:
sebs.faas.config.Resources(F401)
3-3:
⚠️ Potential issueRemove unused import
sebs.cache.Cache.The import
sebs.cache.Cacheis unused and can be removed.Apply this diff:
-from sebs.cache import Cache📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
🪛 Ruff
3-3:
sebs.cache.Cacheimported but unusedRemove unused import:
sebs.cache.Cache(F401)
2-2:
⚠️ Potential issueRemove unused import
sebs.aws.aws.AWS.The import
sebs.aws.aws.AWSis not used and can be removed.Apply this diff to remove the unused import:
-from sebs.aws.aws import AWS📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
🪛 Ruff
2-2:
sebs.aws.aws.AWSimported but unusedRemove unused import:
sebs.aws.aws.AWS(F401)
1-1:
⚠️ Potential issueRemove unused import
typing.cast.The import
typing.castis not used in this file. Removing it will clean up the imports.Apply this diff to remove the unused import:
-from typing import Optional, cast +from typing import Optional📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.from typing import Optional🧰 Tools
🪛 Ruff
1-1:
typing.castimported but unusedRemove unused import:
typing.cast(F401)
108-125: 🛠️ Refactor suggestion
Ensure consistency between
benchmarkandnameparameters in serialization methods.In the
serializemethod, the key"name"is used, and in thedeserializemethod,obj["name"]is passed as thebenchmarkparameter in the constructor. To avoid confusion, use consistent terminology for thebenchmarkparameter throughout the class.Consider renaming the
benchmarkparameter tonamein the constructor to maintain consistency.-def __init__( - self, - benchmark: str, +def __init__( + self, + name: str, queue_type: QueueType, region: str, queue_url: Optional[str] = None, queue_arn: Optional[str] = None ): super().__init__( - benchmark, + name, queue_type, region ) self._queue_url = queue_url self._queue_arn = queue_arnAlternatively, if
benchmarkis the appropriate term, update theserializeanddeserializemethods to use"benchmark"instead of"name".def serialize(self) -> dict: return { - "name": self.name, + "benchmark": self.name, "type": self.queue_type, "region": self.region, "queue_url": self.queue_url, "queue_arn": self.queue_arn, } @staticmethod def deserialize(obj: dict) -> "SQS": return SQS( - obj["name"], + obj["benchmark"], obj["type"], obj["region"], obj["queue_url"], obj["queue_arn"] )Committable suggestion skipped: line range outside the PR's diff.
48-67:
⚠️ Potential issueCorrect the return value of
create_queuemethod.The method
create_queueis declared to return astr, but it does not return any value in its implementation. To fix this inconsistency, either update the method to return thequeue_urlor change the return type annotation toNone.Apply one of the following fixes:
Option 1: Return the
queue_urlat the end of the method.@@ -53,6 +53,7 @@ class SQS(Queue): self.logging.debug("Queue already exists, reusing...") return self.queue_url + # Existing code to create the queue self._queue_url = self.client.create_queue( QueueName=self.name, Attributes={ @@ -66,6 +67,7 @@ class SQS(Queue): self.logging.debug("Created queue") + return self.queue_urlOption 2: Update the return type annotation to
None.-def create_queue(self) -> str: +def create_queue(self) -> None:📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def create_queue(self) -> str: self.logging.debug(f"Creating queue {self.name}") if (self._queue_url and self._queue_arn): self.logging.debug("Queue already exists, reusing...") return self.queue_url self._queue_url = self.client.create_queue( QueueName=self.name, Attributes={ "VisibilityTimeout": "3600" } )["QueueUrl"] self._queue_arn = self.client.get_queue_attributes( QueueUrl=self.queue_url, AttributeNames=["QueueArn"], )["Attributes"]["QueueArn"] self.logging.debug("Created queue") return self.queue_urlbenchmarks/wrappers/aws/python/handler.py (4)
85-86:
⚠️ Potential issueUse
timestamp()instead ofstrftime('%s.%f')for portabilityThe
strftime('%s.%f')format specifier is not standard across all platforms and may not work as intended, as%sis not universally supported in Python'sstrftime.Replace
strftime('%s.%f')withtimestamp()for consistent Unix timestamp values:-'begin': begin.strftime('%s.%f'), -'end': end.strftime('%s.%f'), +'begin': begin.timestamp(), +'end': end.timestamp(),📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.'begin': begin.timestamp(), 'end': end.timestamp(),
25-26: 🛠️ Refactor suggestion
Clarify import statement to improve readability
The import statement
from function import storagefollowed bystorage_inst = storage.storage.get_instance()can be confusing due to the repetition ofstorage. It's advisable to simplify this to enhance code clarity.Consider importing the specific class or function:
-from function import storage +from function.storage import storage storage_inst = storage.get_instance()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.from function.storage import storage storage_inst = storage.get_instance()
15-18:
⚠️ Potential issueHandle potential IndexError when accessing
event["Records"][0]The code assumes that
event["Records"]contains at least one record. Ifevent["Records"]is an empty list, accessingevent["Records"][0]will raise anIndexError.Consider modifying the condition to ensure
event["Records"]is not empty:-if ("Records" in event and event["Records"][0]["eventSource"] == 'aws:sqs'): +if ("Records" in event and event["Records"] and event["Records"][0]["eventSource"] == 'aws:sqs'):📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if ("Records" in event and event["Records"] and event["Records"][0]["eventSource"] == 'aws:sqs'): event = json.loads(event["Records"][0]["body"]) return_http = False
21-32:
⚠️ Potential issuePrevent potential IndexError when processing S3 events
Similar to the SQS trigger handling, if
event["Records"]is an empty list, accessingevent["Records"][0]will raise anIndexError. This could cause the function to fail unexpectedly when triggered by an S3 event with no records.Modify the condition to check that
event["Records"]is not empty:-if ("Records" in event and "s3" in event["Records"][0]): +if ("Records" in event and event["Records"] and "s3" in event["Records"][0]):📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if ("Records" in event and event["Records"] and "s3" in event["Records"][0]): bucket_name = event["Records"][0]["s3"]["bucket"]["name"] file_name = event["Records"][0]["s3"]["object"]["key"] from function import storage storage_inst = storage.storage.get_instance() obj = storage_inst.get_object(bucket_name, file_name) event = json.loads(obj) return_http = Falsesebs/gcp/queue.py (5)
76-76:
⚠️ Potential issueAdd missing space in logging statement
The logging statement lacks a space between "subscription" and
{self.name}, which may lead to misformatted log messages.Apply this diff to fix the issue:
-self.logging.info(f"Deleting queue and associated subscription{self.name}") +self.logging.info(f"Deleting queue and associated subscription {self.name}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.self.logging.info(f"Deleting queue and associated subscription {self.name}")
65-65:
⚠️ Potential issueRemove unnecessary
fprefix in logging statementThe logging statement on line 65 uses an
fprefix without any placeholders, which is unnecessary.Apply this diff to fix the issue:
-self.logging.info(f"Creating queue subscription") +self.logging.info("Creating queue subscription")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.self.logging.info("Creating queue subscription")🧰 Tools
🪛 Ruff
65-65: f-string without any placeholders
Remove extraneous
fprefix(F541)
109-109:
⚠️ Potential issueDecode received message data before returning
The
receive_messagemethod should decode the byte data tostrbefore returning it, to ensure consistency with the return type annotation and to avoid returning bytes where a string is expected.Apply this diff to fix the issue:
-return received_message.message.data +return received_message.message.data.decode("utf-8")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.return received_message.message.data.decode("utf-8")
83-85:
⚠️ Potential issueFix incorrect use of
decodemethod insend_messageThe
serialized_messageparameter is expected to be astr. Usingdecode("utf-8")on astrwill raise anAttributeError. Instead, you should encode the string tobytesbefore passing it topublish.Apply this diff to fix the issue:
def send_message(self, serialized_message: str): - self.client.publish(self.topic_name, serialized_message.decode("utf-8")) + self.client.publish(self.topic_name, serialized_message.encode("utf-8"))📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, serialized_message: str): self.client.publish(self.topic_name, serialized_message.encode("utf-8")) self.logging.info(f"Sent message to queue {self.name}")
45-52:
⚠️ Potential issueValidate
GOOGLE_CLOUD_PROJECTenvironment variableUsing
os.getenv('GOOGLE_CLOUD_PROJECT')without validation may lead to aTypeErrorif the environment variable is not set. Consider adding a check to ensureproject_idis notNonebefore using it.Apply this diff to include validation:
+ project_id = os.getenv('GOOGLE_CLOUD_PROJECT') + if not project_id: + raise EnvironmentError("The GOOGLE_CLOUD_PROJECT environment variable is not set.") self._topic_name = 'projects/{project_id}/topics/{topic}'.format( - project_id=os.getenv('GOOGLE_CLOUD_PROJECT'), + project_id=project_id, topic=self.name, ) self._subscription_name = 'projects/{project_id}/subscriptions/{sub}'.format( - project_id=os.getenv('GOOGLE_CLOUD_PROJECT'), + project_id=project_id, sub=self.name, )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.project_id = os.getenv('GOOGLE_CLOUD_PROJECT') if not project_id: raise EnvironmentError("The GOOGLE_CLOUD_PROJECT environment variable is not set.") self._topic_name = 'projects/{project_id}/topics/{topic}'.format( project_id=project_id, topic=self.name, ) self._subscription_name = 'projects/{project_id}/subscriptions/{sub}'.format( project_id=project_id, sub=self.name, )benchmarks/wrappers/azure/python/handler.py (7)
24-64: 🛠️ Refactor suggestion
Refactor duplicated code in handlers to improve maintainability.
The functions
handler_queueandhandler_storagecontain similar code blocks for processing payloads, adding metadata, measuring, and sending results. Refactoring this code into shared helper functions would reduce duplication and enhance readability.Consider extracting common functionality into separate helper functions. For example:
- Create a helper function to add metadata to the payload.
- Create a helper function to send results to the queue.
This approach promotes code reusability and simplifies future maintenance.
48-48:
⚠️ Potential issueAdd error handling for JSON decoding in
handler_storage.When loading the payload from the blob input stream, there's a risk of encountering errors if the blob content is not valid JSON or is empty. Adding error handling ensures the function behaves correctly in such cases.
Apply this diff to add error handling:
payload = json.loads(blob.readline().decode('utf-8')) +if not payload: + raise ValueError("Payload is empty or invalid JSON.")Alternatively, wrap the JSON loading in a try-except block to catch exceptions:
try: payload = json.loads(blob.readline().decode('utf-8')) except json.JSONDecodeError as e: raise ValueError("Failed to decode JSON from blob input.") from e
5-5:
⚠️ Potential issueRemove unused import
ManagedIdentityCredential.The
ManagedIdentityCredentialclass is imported but not utilized in this file.Apply this diff to remove the unused import:
-from azure.identity import ManagedIdentityCredential📝 Committable suggestion
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5-5:
azure.identity.ManagedIdentityCredentialimported but unusedRemove unused import:
azure.identity.ManagedIdentityCredential(F401)
6-6:
⚠️ Potential issueRemove unused import
QueueClient.The
QueueClientclass is imported but not used in this file.Apply this diff to remove the unused import:
-from azure.storage.queue import QueueClient📝 Committable suggestion
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6-6:
azure.storage.queue.QueueClientimported but unusedRemove unused import:
azure.storage.queue.QueueClient(F401)
3-3:
⚠️ Potential issueRemove unused import
logging.The
loggingmodule is imported but not used in this file.Apply this diff to update the import statement:
-import datetime, io, json, logging, os, uuid +import datetime, io, json, os, uuid📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import datetime, io, json, os, uuid🧰 Tools
🪛 Ruff
3-3:
loggingimported but unusedRemove unused import:
logging(F401)
2-2:
⚠️ Potential issueRemove unused import
base64.The
base64module is imported but not used in this file. Removing unused imports can help clean up the code.Apply this diff to remove the unused import:
-import base64📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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2-2:
base64imported but unusedRemove unused import:
base64(F401)
38-40:
⚠️ Potential issueInconsistent use of
storage_accountenvironment variable.In the
handler_queuefunction,storage_accountis initially set usingDATA_STORAGE_ACCOUNT, but then it's overwritten withSTORAGE_ACCOUNT. This could lead to confusion or unexpected behavior if the environment variables have different values.Consider using a single, consistent environment variable. If
STORAGE_ACCOUNTis the intended variable, update the initial assignment and remove the reassignment:- storage_account = os.getenv('DATA_STORAGE_ACCOUNT') + storage_account = os.getenv('STORAGE_ACCOUNT') if (result_queue and storage_account): - storage_account = os.getenv('STORAGE_ACCOUNT')Committable suggestion skipped: line range outside the PR's diff.
benchmarks/wrappers/gcp/python/handler.py (3)
16-16:
⚠️ Potential issueCorrect the HTTP response header key to
'Content-Type'.In the return statement of the
handler_httpfunction, the header should be'Content-Type'instead of'ContentType'to conform with HTTP standards.Apply this diff to fix the header key:
-return measure(req_json), 200, {'ContentType': 'application/json'} +return measure(req_json), 200, {'Content-Type': 'application/json'}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.return measure(req_json), 200, {'Content-Type': 'application/json'}
4-4:
⚠️ Potential issueRemove the unused import
google.cloud.storage.The module
google.cloud.storageimported on line 4 is not used in the code. Removing it will clean up the imports and avoid confusion.Apply this diff to remove the unused import:
-from google.cloud import storage as gcp_storage📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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4-4:
google.cloud.storageimported but unusedRemove unused import:
google.cloud.storage(F401)
33-33: 💡 Codebase verification
Inconsistent project ID extraction methods need attention
The code uses two different methods to obtain the project ID:
- In
handler_queue: Usescontext.resource.split("/")[1]- In
handler_storage: Usesdefault()from google.authThis inconsistency could lead to reliability issues. The queue implementation in
queue.pyshows that the expected format for topics isprojects/{project_id}/topics/{topic}, which validates the split approach, but using different methods for the same purpose is not recommended.
handler_queue(line 33): Consider using the samedefault()method ashandler_storagehandler_storage(line 64): Currently uses the more reliabledefault()method🔗 Analysis chain
Verify the method used to extract
project_id.The code splits
context.resourceto extractproject_idon line 33, and usesdefault()on line 64. Please ensure that these methods reliably retrieve the correctproject_idin all deployment environments.Run the following script to verify the extraction of
project_id:Also applies to: 64-64
Let me gather more context about how the
context.resourceis used and structured in the codebase.
Let me check for any GCP-related configuration or test files that might show the expected format of the resource string.
Let me check one final thing about the context object's structure and the default credentials usage.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check occurrences of 'project_id' extraction in the codebase. # Test: Find all instances where 'project_id' is set by splitting 'context.resource'. # Expectation: Confirm that 'context.resource.split("/")' consistently retrieves the correct project ID. rg -A 2 'context\.resource\.split\("/"\)'Length of output: 257
Script:
#!/bin/bash # Search for patterns related to context.resource usage and its structure rg -B 2 -A 2 'context\.resource' # Also search for any test files or documentation that might show the expected format fd -e py -e md -e txt . | xargs rg -l 'context\.resource'Length of output: 458
Script:
#!/bin/bash # Look for GCP-related files and configurations fd -e yaml -e yml -e json . | xargs rg -l 'projects?/' # Check for any test files in the GCP wrapper directory fd -e py benchmarks/wrappers/gcp/python/ # Look for any imports or usage of context in the handler file rg -B 2 -A 2 'class|def|import.*context' benchmarks/wrappers/gcp/python/handler.pyLength of output: 1605
Script:
#!/bin/bash # Look for the full handler file content to understand the context cat benchmarks/wrappers/gcp/python/handler.py # Look for any documentation about GCP Cloud Functions context fd . --full-path 'benchmarks/wrappers/gcp/python' -t f -x cat {}Length of output: 11408
sebs/azure/triggers.py (5)
170-173:
⚠️ Potential issue
_queue_nameis not initialized.The property
queue_namerelies onself._queue_name, but_queue_nameis not initialized in theQueueTriggerclass. This will lead to anAssertionErrorwhenqueue_nameis accessed.Consider initializing
_queue_namein the constructor or modifying the property to use an existing attribute.
265-271:
⚠️ Potential issuePotential unintended queue name when
application_nameisNone.In the
StorageTriggerclass, when creating the result queue,application_nameis used to construct the queue name. Ifapplication_nameisNone, the queue name will become"None-result", which might not be intended.Consider adding a check to ensure
application_nameis provided whenwith_result_queueisTrue, or handle theNonecase appropriately. This ensures that the queue name is meaningful and avoids unintended naming.
11-11:
⚠️ Potential issueRemove unused import
QueueClient.
QueueClientfromazure.storage.queueis imported but not utilized in the code. Consider removing it to keep the imports clean.Apply this diff to remove the unused import:
-from azure.storage.queue import QueueClient📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
🪛 Ruff
11-11:
azure.storage.queue.QueueClientimported but unusedRemove unused import:
azure.storage.queue.QueueClient(F401)
5-5:
⚠️ Potential issueRemove unused import
time.The
timemodule is imported but not used anywhere in the code. Removing it will clean up unnecessary imports.Apply this diff to remove the unused import:
-import time📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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5-5:
timeimported but unusedRemove unused import:
time(F401)
174-186:
⚠️ Potential issueIncorrect return type in
sync_invokemethod ofQueueTrigger.The
sync_invokemethod returns a list ofExecutionResultobjects, but the return type annotation specifiesExecutionResult. This mismatch may cause confusion and type checking issues.Apply this diff to correct the return type annotation:
-def sync_invoke(self, payload: dict) -> ExecutionResult: +def sync_invoke(self, payload: dict) -> List[ExecutionResult]:Also, ensure that
Listis imported from thetypingmodule:-from typing import Any, Dict, Optional # noqa +from typing import Any, Dict, Optional, List # noqaCommittable suggestion skipped: line range outside the PR's diff.
sebs/gcp/triggers.py (8)
8-8:
⚠️ Potential issueRemove unused import 'HttpError'
The
HttpErrorclass fromgoogleapiclient.errorsis imported but not used in the code. Please remove it to keep the codebase clean.Apply this diff to remove the unused import:
-from googleapiclient.errors import HttpError📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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8-8:
googleapiclient.errors.HttpErrorimported but unusedRemove unused import:
googleapiclient.errors.HttpError(F401)
252-252:
⚠️ Potential issueEncode serialized payload correctly in 'QueueTrigger.sync_invoke'
The
serialized_payloadshould be decoded after base64 encoding to ensure it's a string when constructing the message body for Pub/Sub.Apply this diff to fix the payload encoding:
- serialized_payload = base64.b64encode(json.dumps(payload).encode("utf-8")) + serialized_payload = base64.b64encode(json.dumps(payload).encode("utf-8")).decode("utf-8")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.serialized_payload = base64.b64encode(json.dumps(payload).encode("utf-8")).decode("utf-8")
327-329:
⚠️ Potential issueEnsure correct return value in 'StorageTrigger.typename'
The
typenamemethod should return the fully qualified class name.Apply this diff to correct the type name:
@staticmethod def typename() -> str: - return "GCP.StorageTrigger" + return "sebs.gcp.triggers.StorageTrigger"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@staticmethod def typename() -> str: return "sebs.gcp.triggers.StorageTrigger"
356-356:
⚠️ Potential issueUse correct bucket name in 'StorageTrigger.sync_invoke'
In the
sync_invokemethod ofStorageTrigger, the bucket is initialized withself.name, which refers to the function name. It should useself.bucket_nameto correctly reference the storage bucket.Apply this diff to fix the bucket reference:
- bucket_instance = client.bucket(self.name) + bucket_instance = client.bucket(self.bucket_name)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.bucket_instance = client.bucket(self.bucket_name)
5-5:
⚠️ Potential issueRemove unused import 'os'
The
osmodule is imported but not used in the code. Removing it will clean up the imports and avoid unnecessary dependencies.Apply this diff to remove the unused import:
-import os📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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5-5:
osimported but unusedRemove unused import:
os(F401)
257-261:
⚠️ Potential issueCorrect topic name format in Pub/Sub publish request
The topic name used in the
publishmethod should be the full resource name, including the project ID. Missing the proper formatting may cause the request to fail.Apply this diff to correct the topic name:
pub_sub.projects().topics().publish( - topic=self.queue_name, + topic=f"projects/{self.deployment_client.config.project_name}/topics/{self.queue_name}", body={ "messages": [{"data": serialized_payload}], }, ).execute()Committable suggestion skipped: line range outside the PR's diff.
399-405:
⚠️ Potential issueFix constructor arguments in 'StorageTrigger.deserialize'
Similar to other deserialization methods, the
deserializemethod forStorageTriggerhas parameters misordered and is missingapplication_name. This can cause incorrect object instantiation.Apply this diff to correct the constructor arguments:
def deserialize(obj: dict) -> Trigger: return StorageTrigger( fname=obj["name"], bucket_name=obj["bucket_name"], region=obj["region"], + application_name=None, result_queue=GCPQueue.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, with_result_queue=obj["with_result_queue"], - result_queue=GCPQueue.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, - with_result_queue=obj["with_result_queue"], )Committable suggestion skipped: line range outside the PR's diff.
119-123:
⚠️ Potential issueCorrect parameter mismatch in 'LibraryTrigger.deserialize'
The parameters passed to
LibraryTriggerin thedeserializemethod do not match the constructor's signature. Specifically,deployment_clientandapplication_nameare missing, andresult_queueandwith_result_queueare incorrectly positioned.Apply this diff to fix the parameter mismatch:
def deserialize(obj: dict) -> Trigger: return LibraryTrigger( fname=obj["name"], + deployment_client=None, + application_name=None, result_queue=GCPQueue.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, with_result_queue=obj["with_result_queue"], - result_queue=GCPQueue.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, - with_result_queue=obj["with_result_queue"], )Committable suggestion skipped: line range outside the PR's diff.
sebs/aws/triggers.py (11)
45-48: 🛠️ Refactor suggestion
Handle cases where 'result_queue' may be None in property methods
In the property methods for
result_queue, an assertion is used to ensure_result_queueis notNone. If_result_queueisNone, anAssertionErrorwill be raised, which may not be user-friendly.Consider raising a more descriptive exception or handling the
Nonecase gracefully:@property def result_queue(self) -> SQS: - assert self._result_queue + if not self._result_queue: + raise ValueError("Result queue is not initialized.") return self._result_queueAlso applies to: 169-172, 266-269, 419-422
153-159:
⚠️ Potential issueEnsure 'deployment_client' and 'application_name' are not None when creating result queue
Similar to
LibraryTrigger, in theHTTPTrigger.__init__method, the code may raise a runtime error ifdeployment_clientorapplication_nameisNonewhenwith_result_queueisTrue.Add validation checks as follows:
if (self.with_result_queue and not self._result_queue): + if not self.deployment_client or not application_name: + raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (self.with_result_queue and not self._result_queue): if not self.deployment_client or not application_name: raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()
470-475:
⚠️ Potential issueCorrect argument usage in
StorageTrigger.deserializeThe
deserializemethod forStorageTriggeromits necessary arguments and may assign values to incorrect parameters.Modify to include all required arguments and use keyword arguments:
@staticmethod def deserialize(obj: dict) -> Trigger: return StorageTrigger( fname=obj["name"], deployment_client=None, bucket_name=obj["bucket_name"], application_name=None, result_queue=SQS.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, with_result_queue=obj["with_result_queue"] )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.return StorageTrigger( fname=obj["name"], deployment_client=None, bucket_name=obj["bucket_name"], application_name=None, result_queue=SQS.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, with_result_queue=obj["with_result_queue"] )
396-403:
⚠️ Potential issueEnsure 'deployment_client' and 'application_name' are not None when creating result queue
Again, validate the required parameters when
with_result_queueisTrueinStorageTrigger.Apply the following changes:
if (self.with_result_queue and not self._result_queue): + if not self.deployment_client or not application_name: + raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (self.with_result_queue and not self._result_queue): if not self.deployment_client or not application_name: raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()
319-325:
⚠️ Potential issueCorrect argument order in
QueueTrigger.deserializeto match__init__signatureThe
deserializemethod arguments forQueueTriggerare misaligned with the__init__method.Adjust the arguments using keyword arguments:
@staticmethod def deserialize(obj: dict) -> Trigger: return QueueTrigger( obj["name"], deployment_client=None, queue=SQS.deserialize(obj["queue"]), application_name=None, result_queue=SQS.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, with_result_queue=obj["with_result_queue"] )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.return QueueTrigger( obj["name"], deployment_client=None, queue=SQS.deserialize(obj["queue"]), application_name=None, result_queue=SQS.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, with_result_queue=obj["with_result_queue"] )
126-131:
⚠️ Potential issueCorrect argument order in
LibraryTrigger.deserializeto match__init__signatureIn the
deserializemethod, the arguments passed toLibraryTriggerare misaligned with its__init__method. Theresult_queueandwith_result_queueparameters are being passed in the positions ofapplication_nameandresult_queuerespectively.Apply this diff to fix the argument order using keyword arguments:
@staticmethod def deserialize(obj: dict) -> Trigger: return LibraryTrigger( obj["name"], deployment_client=None, application_name=None, - SQS.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, - obj["with_result_queue"] + result_queue=SQS.deserialize(obj["result_queue"]) if obj["result_queue"] != "" else None, + with_result_queue=obj["with_result_queue"] )Committable suggestion skipped: line range outside the PR's diff.
248-255:
⚠️ Potential issueEnsure 'deployment_client' and 'application_name' are not None when creating result queue
Consistently across triggers,
deployment_clientandapplication_nameneed to be validated whenwith_result_queueisTrue.Update the code:
if (self.with_result_queue and not self._result_queue): + if not self.deployment_client or not application_name: + raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (self.with_result_queue and not self._result_queue): if not self.deployment_client or not application_name: raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()
435-441:
⚠️ Potential issueAdd error handling for S3 upload in
StorageTrigger.sync_invokeWhen uploading the payload to S3, it's possible for the operation to fail. Currently, there's no error handling for the
putoperation.Include a try-except block to handle potential exceptions:
try: s3.Object(self.bucket_name, "payload.json").put(Body=serialized_payload) self.logging.info(f"Uploaded payload to bucket {self.bucket_name}") except Exception as e: self.logging.error(f"Failed to upload payload to bucket {self.bucket_name}: {e}") raise📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.serialized_payload = json.dumps(payload) # Put object s3 = boto3.resource("s3") begin = datetime.datetime.now() try: s3.Object(self.bucket_name, "payload.json").put(Body=serialized_payload) self.logging.info(f"Uploaded payload to bucket {self.bucket_name}") except Exception as e: self.logging.error(f"Failed to upload payload to bucket {self.bucket_name}: {e}") raise
33-39:
⚠️ Potential issueEnsure 'deployment_client' and 'application_name' are not None when creating result queue
In the
LibraryTrigger.__init__method, whenwith_result_queueisTrueand_result_queueisNone, the code attempts to create a newSQSresult queue usingapplication_nameanddeployment_client. However, ifdeployment_clientorapplication_nameisNone, this will lead to a runtime error.Apply this diff to add validation checks:
if (self.with_result_queue and not self._result_queue): + if not self.deployment_client or not application_name: + raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (self.with_result_queue and not self._result_queue): if not self.deployment_client or not application_name: raise ValueError("deployment_client and application_name must be provided when with_result_queue is True") self._result_queue = SQS( f'{application_name}-result', QueueType.RESULT, self.deployment_client.config.region ) self._result_queue.create_queue()
223-245:
⚠️ Potential issueCheck for 'deployment_client' before using in
QueueTrigger.__init__In the
QueueTrigger.__init__method,deployment_clientis used without ensuring it's notNone. This can lead to a runtime error ifdeployment_clientis not provided.Add a validation check:
if not self._queue: + if not self.deployment_client: + raise ValueError("deployment_client must be provided when queue is not supplied") self._queue = SQS( self.name, QueueType.TRIGGER, self.deployment_client.config.region ) self.queue.create_queue()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (not self._queue): if not self.deployment_client: raise ValueError("deployment_client must be provided when queue is not supplied") self._queue = SQS( self.name, QueueType.TRIGGER, self.deployment_client.config.region ) self.queue.create_queue() # Add queue trigger lambda_client = self.deployment_client.get_lambda_client() if not len( lambda_client.list_event_source_mappings( EventSourceArn=self.queue.queue_arn, FunctionName=self.name )["EventSourceMappings"] ): lambda_client.create_event_source_mapping( EventSourceArn=self.queue.queue_arn, FunctionName=self.name, Enabled=True, BatchSize=1, MaximumBatchingWindowInSeconds=1, )
348-393: 💡 Codebase verification
Add error handling for S3 bucket creation and permissions
The code lacks proper error handling for bucket creation and permission setup. The codebase shows that error handling for
BucketAlreadyExistsis implemented elsewhere (insebs/aws/s3.py) but not in this trigger setup. This could lead to uncaught exceptions when:
- The bucket name already exists
- There are insufficient permissions
- The bucket name violates AWS naming conventions
Key locations requiring error handling:
sebs/aws/triggers.py: Add try-catch blocks arounds3.create_bucket()andlambda_client.add_permission()- Consider implementing cleanup (bucket deletion) if permission setup fails after bucket creation
🔗 Analysis chain
Verify bucket creation and permissions in
StorageTrigger.__init__In the storage trigger setup, ensure that the bucket creation and permission configurations are accurate and handle potential exceptions such as bucket name conflicts or permission issues.
Run the following script to check for existing buckets and validate permissions:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check if the bucket name already exists and verify permissions. # Test: List buckets to see if the bucket already exists. aws s3api list-buckets --query "Buckets[].Name" | grep -w "${self._bucket_name}" # Test: Verify that the lambda function has the necessary permissions. aws lambda get-policy --function-name "${self.name}"Length of output: 286
Script:
#!/bin/bash # Let's analyze the error handling in the bucket creation code # Check for error handling patterns around bucket creation rg -A 5 "s3\.create_bucket" --type py # Look for any try-catch blocks around bucket operations ast-grep --pattern 'try { $$$ s3.create_bucket($$$) $$$ }' # Search for any existing error handling for bucket name conflicts rg "BucketAlreadyExists|BucketAlreadyOwnedByYou" --type py # Check if there's any cleanup or rollback code for failed bucket creation rg "delete_bucket|cleanup" --type py -A 5Length of output: 3971
sebs.py (4)
264-266: 🛠️ Refactor suggestion
Consolidate function name modification logic for GCP and Azure
The logic for modifying the function name by appending the trigger type is duplicated for both applications and standalone functions. To improve maintainability and ensure consistency, consider abstracting this logic into a utility function.
Also applies to: 319-320
281-291: 🛠️ Refactor suggestion
Refactor duplicated trigger creation code
The code blocks for creating and retrieving triggers are nearly identical in both the application handling and standalone function handling sections. Refactoring this logic into a shared method would reduce code duplication and simplify future updates.
Also applies to: 334-343
259-261:
⚠️ Potential issueEnsure consistent setting of 'result_queue' across triggers
In the application handling section,
result_queueis set for all functions, whereas in the standalone function handling, it's only set when the trigger is 'queue' or 'storage'. This inconsistency might lead to unexpected behavior. Verify thatresult_queueis appropriately assigned in all necessary cases, and consider unifying the logic for consistency.Also applies to: 321-323
237-238:
⚠️ Potential issueAdd exception handling when loading benchmark configuration
If
'config.json'is missing or contains invalid JSON, the current code will raise an unhandled exception. To enhance robustness, consider adding exception handling to provide clear error messages and prevent unexpected crashes.Apply this diff to handle exceptions:
+ try: with open(os.path.join(root_benchmark_path, "config.json")) as json_file: root_benchmark_config = json.load(json_file) + except FileNotFoundError: + raise RuntimeError(f"'config.json' not found in benchmark directory {root_benchmark_path}") + except json.JSONDecodeError as e: + raise RuntimeError(f"Invalid JSON in 'config.json': {e}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.try: with open(os.path.join(root_benchmark_path, "config.json")) as json_file: root_benchmark_config = json.load(json_file) except FileNotFoundError: raise RuntimeError(f"'config.json' not found in benchmark directory {root_benchmark_path}") except json.JSONDecodeError as e: raise RuntimeError(f"Invalid JSON in 'config.json': {e}")sebs/aws/aws.py (2)
230-233:
⚠️ Potential issuePotential overwrite of existing environment variables
Setting
Environment={"Variables": result_queue_env}might overwrite existing environment variables configured for the Lambda function. To prevent this, consider mergingresult_queue_envwith any existing environment variables.Apply this diff to merge the environment variables:
+existing_env = ret.get("Environment", {}).get("Variables", {}) +merged_env = {**existing_env, **result_queue_env} ret = self.client.create_function( FunctionName=func_name, Runtime="{}{}".format( language, self._map_language_runtime(language, language_runtime) ), Handler="handler.handler", Role=self.config.resources.lambda_role(self.session), MemorySize=memory, Timeout=timeout, Code=code_config, - Environment={"Variables": result_queue_env} + Environment={"Variables": merged_env} )Also applies to: 244-244
554-571: 🛠️ Refactor suggestion
Refactor trigger creation to reduce code duplication
The creation logic for
QueueTriggerandStorageTriggeris similar. Consider refactoring to eliminate duplication by abstracting common code.Here’s a potential refactor:
trigger_classes = { Trigger.TriggerType.QUEUE: QueueTrigger, Trigger.TriggerType.STORAGE: StorageTrigger, # Add other trigger types as needed } if trigger_type in trigger_classes: trigger_class = trigger_classes[trigger_type] trigger = trigger_class( func.name, application_name=func.application_name, deployment_client=self, with_result_queue=with_result_queue ) trigger.logging_handlers = self.logging_handlers self.logging.info(f"Created {trigger_type.name} trigger for {func.name} function.") else: raise RuntimeError("Not supported!")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.trigger_classes = { Trigger.TriggerType.QUEUE: QueueTrigger, Trigger.TriggerType.STORAGE: StorageTrigger, # Add other trigger types as needed } if trigger_type in trigger_classes: trigger_class = trigger_classes[trigger_type] trigger = trigger_class( func.name, application_name=func.application_name, deployment_client=self, with_result_queue=with_result_queue ) trigger.logging_handlers = self.logging_handlers self.logging.info(f"Created {trigger_type.name} trigger for {func.name} function.") else: raise RuntimeError("Not supported!")sebs/azure/azure.py (4)
706-706:
⚠️ Potential issueUndefined variable
urlused inHTTPTriggerinitializationThe variable
urlis not defined in this scope, which will cause aNameError. Please ensure thaturlis defined before using it.Consider retrieving
urlfrom the function object or defineurlbefore this point.🧰 Tools
🪛 Ruff
706-706: Undefined name
url(F821)
618-618:
⚠️ Potential issueRemove unused variable
azure_functionThe variable
azure_functionis assigned but never used.Apply this diff to remove the unused variable:
- azure_function = cast(AzureFunction, function)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
🪛 Ruff
618-618: Local variable
azure_functionis assigned to but never usedRemove assignment to unused variable
azure_function(F841)
352-352:
⚠️ Potential issueRemove unused variable
urlThe variable
urlis assigned but never used, which can lead to confusion.Apply this diff to remove the unused variable:
- url = self.publish_function(function, code_package, True) + self.publish_function(function, code_package, True)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.self.publish_function(function, code_package, True)🧰 Tools
🪛 Ruff
352-352: Local variable
urlis assigned to but never usedRemove assignment to unused variable
url(F841)
258-259: 🛠️ Refactor suggestion
Use a context manager when opening files to ensure proper resource management
When opening files, it's recommended to use a context manager (
withstatement) to ensure that files are properly closed even if an exception occurs.Apply this diff to use a context manager:
- json.dump( - self.create_function_json(func_name, EXEC_FILES[language_name]), - open(json_out, "w"), - indent=2, - ) + with open(json_out, "w") as f: + json.dump( + self.create_function_json(func_name, EXEC_FILES[language_name]), + f, + indent=2, + )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.with open(json_out, "w") as f: json.dump( self.create_function_json(func_name, EXEC_FILES[language_name]), f, indent=2, )🧰 Tools
🪛 Ruff
258-258: Use a context manager for opening files
(SIM115)
sebs/gcp/gcp.py (4)
367-372:
⚠️ Potential issueProvide all required arguments when initializing
GCPFunctionThe
GCPFunctionconstructor may require additional arguments that are not provided here, such asruntimeortrigger. Ensure that all mandatory parameters are included.If these arguments are optional, consider verifying the constructor to confirm that the initialization will not fail.
397-448: 🛠️ Refactor suggestion
Refactor
create_triggermethod to reduce code duplicationThe
create_triggermethod has repetitive code blocks for each trigger type. Refactor the method to eliminate duplication by using a mapping or helper functions.Example refactoring:
trigger_classes = { Trigger.TriggerType.HTTP: HTTPTrigger, Trigger.TriggerType.QUEUE: QueueTrigger, Trigger.TriggerType.STORAGE: StorageTrigger, } trigger_class = trigger_classes.get(trigger_type) if not trigger_class: raise RuntimeError("Not supported!") trigger = trigger_class( function.name, application_name=function.application_name, with_result_queue=with_result_queue, # Additional parameters as needed ) self.logging.info(f"Created {trigger_type.name.capitalize()} trigger for {function.name} function")
111-113:
⚠️ Potential issueUse explicit error handling instead of assertions
Using
assertfor runtime checks is not recommended because assertions can be disabled with optimization flags, potentially bypassing critical checks. Replace theassertstatement with explicit error handling.Apply this diff to handle unsupported trigger types:
- assert trigger == "queue" or trigger == "storage" + if trigger not in ("queue", "storage"): + raise ValueError(f"Unsupported trigger type: {trigger}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.trigger = func_name.split("-")[-1] if trigger not in ("queue", "storage"): raise ValueError(f"Unsupported trigger type: {trigger}")
341-343:
⚠️ Potential issueEnsure compatibility with Python versions below 3.9
The syntax
{...} | trigger_infofor merging dictionaries is only available in Python 3.9 and above. To maintain compatibility with earlier Python versions, use the**unpacking operator instead.Apply this diff to use compatible dictionary merging:
create_req = ( self.function_client.projects() .locations() .functions() .create( location="projects/{project_name}/locations/{location}".format( project_name=project_name, location=location ), body={ "name": full_func_name, "runtime": code_package.language_name + language_runtime.replace(".", ""), "availableMemoryMb": memory, "timeout": str(timeout) + "s", "ingressSettings": "ALLOW_ALL", "sourceArchiveUrl": "gs://" + code_bucket + "/" + code_prefix, "environmentVariables": result_queue_env, - } | trigger_info, + **trigger_info, + }, ) )Committable suggestion skipped: line range outside the PR's diff.
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benchmarks/500.scientific/505.map-reduce/mapper/config.json (1)
5-5: 🛠️ Refactor suggestion
Enhance storage trigger configuration.
The "storage" trigger configuration lacks essential details that are typically required for cloud platform deployment:
- Storage service type (e.g., AWS S3, Azure Blob Storage, GCP Cloud Storage)
- Event types to respond to (e.g., create, update, delete)
- Path or prefix filters for targeted triggering
Consider expanding the trigger configuration:
- "trigger": "storage" + "trigger": { + "type": "storage", + "service": "s3", + "events": ["create"], + "prefix": "input/" + }Committable suggestion skipped: line range outside the PR's diff.
benchmarks/wrappers/gcp/python/queue.py (4)
5-7: 🛠️ Refactor suggestion
Rename class to follow PEP 8 naming conventions
Class names should use CamelCase naming convention.
-class queue: +class Queue: client = None📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.class Queue: client = None
5-14: 🛠️ Refactor suggestion
Add docstrings and improve error handling
The class lacks documentation and proper error handling for environment variables.
class Queue: + """Handles interaction with Google Cloud Pub/Sub for message queuing. + + Args: + topic_name (str): Name of the Pub/Sub topic + + Raises: + ValueError: If ACCOUNT_ID environment variable is not set + """ client = None def __init__(self, topic_name: str): + """Initialize the Pub/Sub client and configure the topic path.""" + account_id = os.getenv('ACCOUNT_ID') + if not account_id: + raise ValueError("ACCOUNT_ID environment variable must be set") self.client = pubsub_v1.PublisherClient() self.topic_name = 'projects/{project_id}/topics/{topic}'.format( - project_id=os.getenv('ACCOUNT_ID'), + project_id=account_id, topic=topic_name, )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.class Queue: """Handles interaction with Google Cloud Pub/Sub for message queuing. Args: topic_name (str): Name of the Pub/Sub topic Raises: ValueError: If ACCOUNT_ID environment variable is not set """ client = None def __init__(self, topic_name: str): """Initialize the Pub/Sub client and configure the topic path.""" account_id = os.getenv('ACCOUNT_ID') if not account_id: raise ValueError("ACCOUNT_ID environment variable must be set") self.client = pubsub_v1.PublisherClient() self.topic_name = 'projects/{project_id}/topics/{topic}'.format( project_id=account_id, topic=topic_name, )
15-16: 🛠️ Refactor suggestion
Enhance message sending with error handling and validation
The current implementation lacks error handling and message validation.
def send_message(self, message: str): - self.client.publish(self.topic_name, message.encode("utf-8")) + """Publish a message to the configured Pub/Sub topic. + + Args: + message (str): The message to publish + + Returns: + str: The published message ID + + Raises: + ValueError: If message is empty or not a string + Exception: If publishing fails + """ + if not isinstance(message, str) or not message.strip(): + raise ValueError("Message must be a non-empty string") + + try: + future = self.client.publish(self.topic_name, message.encode("utf-8")) + return future.result() # Returns message_id + except Exception as e: + raise Exception(f"Failed to publish message: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, message: str): """Publish a message to the configured Pub/Sub topic. Args: message (str): The message to publish Returns: str: The published message ID Raises: ValueError: If message is empty or not a string Exception: If publishing fails """ if not isinstance(message, str) or not message.strip(): raise ValueError("Message must be a non-empty string") try: future = self.client.publish(self.topic_name, message.encode("utf-8")) return future.result() # Returns message_id except Exception as e: raise Exception(f"Failed to publish message: {str(e)}")
6-6: 🛠️ Refactor suggestion
Fix client variable scope
The
clientis declared as a class variable but used as an instance variable. This could lead to unexpected behavior in multi-instance scenarios.- client = NoneCommittable suggestion skipped: line range outside the PR's diff.
benchmarks/wrappers/gcp/python/misc.py (2)
3-14:
⚠️ Potential issueAdd validation for environment variable and input parameters.
The function needs additional validation:
- The
APP_NAMEenvironment variable should be validated to avoid potentialNonevalues.- Input parameters should be validated for empty strings or invalid characters.
- The final function name length should be checked against GCP's limits.
Here's the suggested implementation:
def function_name( fname: str, language: str, version: str, trigger: str ): app_name = os.getenv('APP_NAME') + if not app_name: + raise ValueError("APP_NAME environment variable is not set") + + if not all([fname, language, version, trigger]): + raise ValueError("All parameters must be non-empty strings") + full_name = f"{app_name}_{fname}_{language}_{version}-{trigger}" full_name = full_name.replace(".", "_") + + # GCP function names must be <= 63 characters + if len(full_name) > 63: + raise ValueError(f"Generated function name '{full_name}' exceeds 63 characters") return full_name📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def function_name( fname: str, language: str, version: str, trigger: str ): app_name = os.getenv('APP_NAME') if not app_name: raise ValueError("APP_NAME environment variable is not set") if not all([fname, language, version, trigger]): raise ValueError("All parameters must be non-empty strings") full_name = f"{app_name}_{fname}_{language}_{version}-{trigger}" full_name = full_name.replace(".", "_") # GCP function names must be <= 63 characters if len(full_name) > 63: raise ValueError(f"Generated function name '{full_name}' exceeds 63 characters") return full_name
15-20:
⚠️ Potential issueAdd validation and prevent path traversal.
The function needs additional security measures and validation:
- Validate the
APP_NAMEenvironment variable.- Validate input parameters.
- Prevent path traversal attacks.
- Ensure consistent path format.
Here's the suggested implementation:
def object_path(path: str, key: str): + if not path or not key: + raise ValueError("Both path and key must be non-empty strings") + app_name = os.getenv('APP_NAME') + if not app_name: + raise ValueError("APP_NAME environment variable is not set") + + # Prevent path traversal + if '..' in path or '..' in key: + raise ValueError("Path traversal attempts are not allowed") + + # Remove leading/trailing slashes + path = path.strip('/') + key = key.strip('/') + path = f"{app_name}-{path}/{key}" path = path.replace("_", "-") return path📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def object_path(path: str, key: str): if not path or not key: raise ValueError("Both path and key must be non-empty strings") app_name = os.getenv('APP_NAME') if not app_name: raise ValueError("APP_NAME environment variable is not set") # Prevent path traversal if '..' in path or '..' in key: raise ValueError("Path traversal attempts are not allowed") # Remove leading/trailing slashes path = path.strip('/') key = key.strip('/') path = f"{app_name}-{path}/{key}" path = path.replace("_", "-") return pathbenchmarks/500.scientific/505.map-reduce/input.py (2)
1-1: 🛠️ Refactor suggestion
Remove unused
globimport.The
globmodule is imported but never used in the code. Keep theosimport as it's used in the commented code which might be implemented later.-import glob, os +import os📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import os🧰 Tools
🪛 Ruff
1-1:
globimported but unusedRemove unused import
(F401)
1-1:
osimported but unusedRemove unused import
(F401)
6-14:
⚠️ Potential issueImplement parameter validation and complete the input generation logic.
Several issues need attention:
- Most parameters (
data_dir,size,benchmarks_bucket,input_paths,output_paths,upload_func) are unused- Hardcoded values (
mappers=2and the sample text) might not be suitable for benchmarking- The commented code suggests incomplete implementation for file upload functionality
Consider implementing:
- Parameter validation
- Dynamic mapper count based on input size
- Configurable input text or file processing
- Error handling
Here's a suggested implementation:
def generate_input(data_dir, size, benchmarks_bucket, input_paths, output_paths, upload_func): + """Generate input configuration for the map-reduce benchmark. + + Args: + data_dir (str): Directory containing input data + size (str): Size category of the benchmark + benchmarks_bucket (str): Cloud storage bucket for benchmarks + input_paths (list): List of input file paths + output_paths (list): List of output file paths + upload_func (callable): Function to upload files to cloud storage + + Returns: + dict: Input configuration for the benchmark + + Raises: + ValueError: If required parameters are invalid + """ + if not os.path.isdir(data_dir): + raise ValueError(f"Invalid data directory: {data_dir}") + + # Scale mappers based on size + mappers = { + 'small': 2, + 'medium': 4, + 'large': 8 + }.get(size, 2) + input_config = {} - input_config['mappers'] = 2 - input_config['text'] = 'the quick brown fox jumps jumps. over the lazy lazy lazy dog dog' + input_config['mappers'] = mappers + + # Use input file if available, otherwise use default text + input_text_file = os.path.join(data_dir, 'input.txt') + if os.path.exists(input_text_file): + with open(input_text_file, 'r') as f: + input_config['text'] = f.read() + upload_func(0, 'input.txt', input_text_file) + else: + input_config['text'] = 'the quick brown fox jumps jumps. over the lazy lazy lazy dog dog' + return input_config📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def generate_input(data_dir, size, benchmarks_bucket, input_paths, output_paths, upload_func): """Generate input configuration for the map-reduce benchmark. Args: data_dir (str): Directory containing input data size (str): Size category of the benchmark benchmarks_bucket (str): Cloud storage bucket for benchmarks input_paths (list): List of input file paths output_paths (list): List of output file paths upload_func (callable): Function to upload files to cloud storage Returns: dict: Input configuration for the benchmark Raises: ValueError: If required parameters are invalid """ if not os.path.isdir(data_dir): raise ValueError(f"Invalid data directory: {data_dir}") # Scale mappers based on size mappers = { 'small': 2, 'medium': 4, 'large': 8 }.get(size, 2) input_config = {} input_config['mappers'] = mappers # Use input file if available, otherwise use default text input_text_file = os.path.join(data_dir, 'input.txt') if os.path.exists(input_text_file): with open(input_text_file, 'r') as f: input_config['text'] = f.read() upload_func(0, 'input.txt', input_text_file) else: input_config['text'] = 'the quick brown fox jumps jumps. over the lazy lazy lazy dog dog' return input_configbenchmarks/wrappers/aws/python/queue.py (4)
1-5: 🛠️ Refactor suggestion
Apply Python naming conventions and import style improvements.
Several style improvements are recommended:
- Separate imports onto individual lines
- Use PascalCase for class names (rename
queuetoQueue)- Remove redundant class-level client variable
-import boto3, os +import boto3 +import os -class queue: - client = None +class Queue:📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import boto3 import os class Queue:
13-17:
⚠️ Potential issueEnhance error handling and add input validation for send_message.
The method needs several improvements for reliability:
- Add error handling for SQS operations
- Validate input message
- Return success/failure status
- Add docstring
- def send_message(self, message: str): - self.client.send_message( - QueueUrl=self.queue_url, - MessageBody=message, - ) + def send_message(self, message: str) -> bool: + """Send a message to the SQS queue. + + Args: + message (str): The message to send to the queue + + Returns: + bool: True if message was sent successfully, False otherwise + + Raises: + ValueError: If message is empty or not a string + """ + if not isinstance(message, str): + raise ValueError("Message must be a string") + if not message.strip(): + raise ValueError("Message cannot be empty") + + try: + self.client.send_message( + QueueUrl=self.queue_url, + MessageBody=message, + ) + return True + except Exception as e: + # Log the error if logging is configured + print(f"Failed to send message to SQS: {str(e)}") + return False📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, message: str) -> bool: """Send a message to the SQS queue. Args: message (str): The message to send to the queue Returns: bool: True if message was sent successfully, False otherwise Raises: ValueError: If message is empty or not a string """ if not isinstance(message, str): raise ValueError("Message must be a string") if not message.strip(): raise ValueError("Message cannot be empty") try: self.client.send_message( QueueUrl=self.queue_url, MessageBody=message, ) return True except Exception as e: # Log the error if logging is configured print(f"Failed to send message to SQS: {str(e)}") return False
6-11:
⚠️ Potential issueAdd environment variable validation and error handling.
The constructor needs several improvements for robustness:
- Validate environment variables
- Add error handling for boto3 client initialization
- Add type hints for class attributes
+from typing import Optional + class Queue: + client: boto3.client + queue_url: str + def __init__(self, queue_name: str): - account_id = os.getenv('ACCOUNT_ID') - region = os.getenv('REGION') - - self.client = boto3.client('sqs', region_name=region) + account_id = os.getenv('ACCOUNT_ID') + if not account_id: + raise ValueError("ACCOUNT_ID environment variable is not set") + + region = os.getenv('REGION') + if not region: + raise ValueError("REGION environment variable is not set") + + try: + self.client = boto3.client('sqs', region_name=region) + except Exception as e: + raise RuntimeError(f"Failed to initialize SQS client: {str(e)}") + self.queue_url = f"https://sqs.{region}.amazonaws.com/{account_id}/{queue_name}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.from typing import Optional class Queue: client: boto3.client queue_url: str def __init__(self, queue_name: str): account_id = os.getenv('ACCOUNT_ID') if not account_id: raise ValueError("ACCOUNT_ID environment variable is not set") region = os.getenv('REGION') if not region: raise ValueError("REGION environment variable is not set") try: self.client = boto3.client('sqs', region_name=region) except Exception as e: raise RuntimeError(f"Failed to initialize SQS client: {str(e)}") self.queue_url = f"https://sqs.{region}.amazonaws.com/{account_id}/{queue_name}"
1-17: 💡 Codebase verification
Based on the gathered information, I can now provide the final response:
Add error handling and follow AWS SDK best practices
- Add try-catch block for SQS operations to handle potential AWS SDK exceptions
- Consider initializing the boto3 client as a instance variable instead of class variable
- Add message attributes support for better message handling capabilities
- Add proper cleanup in case of initialization failures
Example locations requiring attention:
benchmarks/wrappers/aws/python/queue.py: Add error handling aroundsend_messageoperationbenchmarks/wrappers/aws/python/queue.py: Moveclientfrom class variable to instance variable🔗 Analysis chain
Verify AWS SDK compatibility and existing implementations.
Let's check for similar implementations and SDK version constraints in the codebase.
Let me gather more information about the boto3 version constraints and AWS SDK best practices in the codebase.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for other SQS implementations and boto3 version constraints echo "Checking for other SQS implementations..." rg -l "boto3.*client.*sqs" --type py echo "Checking for boto3 version constraints..." fd "requirements.*txt" -x cat {} | rg "boto3"Length of output: 392
Script:
#!/bin/bash # Check for specific boto3 version constraints and AWS SDK best practices echo "Checking for specific boto3 version constraints..." fd "requirements.*txt" -x cat {} echo "Checking for AWS SDK configuration patterns..." rg "boto3\.client|boto3\.resource" -A 3 --type py echo "Checking for error handling patterns..." rg "try.*except.*boto3" --type py -A 5Length of output: 4130
benchmarks/wrappers/aws/python/misc.py (2)
18-23:
⚠️ Potential issueAdd validation and sanitization for S3 paths.
The function needs proper error handling and path sanitization for S3 compatibility.
Consider applying these improvements:
def object_path(path: str, key: str): + if not path or not key: + raise ValueError("Both path and key parameters are required") + app_name = os.getenv('APP_NAME') + if not app_name: + raise ValueError("APP_NAME environment variable is required") + + # Remove leading/trailing slashes and sanitize path components + path = path.strip('/') + key = key.strip('/') + path = f'{app_name}-{path}/{key}' path = path.replace('_', '-') + + # Validate final path length for S3 (max 1024 characters) + if len(path) > 1024: + raise ValueError("Generated path exceeds S3's maximum key length") return path📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def object_path(path: str, key: str): if not path or not key: raise ValueError("Both path and key parameters are required") app_name = os.getenv('APP_NAME') if not app_name: raise ValueError("APP_NAME environment variable is required") # Remove leading/trailing slashes and sanitize path components path = path.strip('/') key = key.strip('/') path = f'{app_name}-{path}/{key}' path = path.replace('_', '-') # Validate final path length for S3 (max 1024 characters) if len(path) > 1024: raise ValueError("Generated path exceeds S3's maximum key length") return path
3-16:
⚠️ Potential issueAdd environment variable validation and input checks.
The function should handle missing environment variables and validate input parameters to prevent runtime errors.
Consider applying these improvements:
def function_name( fname: str, language: str, version: str, trigger: str ): - app_name = os.getenv('APP_NAME') + app_name = os.getenv('APP_NAME') + if not app_name: + raise ValueError("APP_NAME environment variable is required") + if not all([fname, language, version, trigger]): + raise ValueError("All parameters are required") + full_name = f'{app_name}_{fname}_{language}_{version}' full_name = full_name.replace('.', '_') if (trigger == 'storage'): full_name = full_name.replace('_', '-') + # AWS Lambda naming constraints: max 64 chars, alphanumeric + hyphen + if len(full_name) > 64: + raise ValueError("Generated function name exceeds AWS Lambda's 64 character limit") + return full_name📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def function_name( fname: str, language: str, version: str, trigger: str ): app_name = os.getenv('APP_NAME') if not app_name: raise ValueError("APP_NAME environment variable is required") if not all([fname, language, version, trigger]): raise ValueError("All parameters are required") full_name = f'{app_name}_{fname}_{language}_{version}' full_name = full_name.replace('.', '_') if (trigger == 'storage'): full_name = full_name.replace('_', '-') # AWS Lambda naming constraints: max 64 chars, alphanumeric + hyphen if len(full_name) > 64: raise ValueError("Generated function name exceeds AWS Lambda's 64 character limit") return full_namebenchmarks/wrappers/azure/python/misc.py (3)
21-26: 🛠️ Refactor suggestion
⚠️ Potential issueAdd input validation and security measures.
The function needs proper validation and documentation. Additionally, consider path traversal security risks.
def object_path(path: str, key: str): + """Construct a standardized object path for Azure Storage. + + Args: + path (str): Base path component + key (str): Object key/identifier + + Returns: + str: Standardized object path + + Raises: + ValueError: If required environment variable is missing or inputs are invalid + """ + if not path or not key: + raise ValueError("Both path and key must be non-empty strings") + if '..' in path or '..' in key: + raise ValueError("Path traversal attempts are not allowed") + + if not (app_name := os.getenv('APP_NAME')): + raise ValueError("APP_NAME environment variable is not set") + - app_name = os.getenv('APP_NAME') path = f"{app_name}-{path}/{key}" path = path.replace("_", "-") return path📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def object_path(path: str, key: str): """Construct a standardized object path for Azure Storage. Args: path (str): Base path component key (str): Object key/identifier Returns: str: Standardized object path Raises: ValueError: If required environment variable is missing or inputs are invalid """ if not path or not key: raise ValueError("Both path and key must be non-empty strings") if '..' in path or '..' in key: raise ValueError("Path traversal attempts are not allowed") if not (app_name := os.getenv('APP_NAME')): raise ValueError("APP_NAME environment variable is not set") path = f"{app_name}-{path}/{key}" path = path.replace("_", "-") return path
3-19: 🛠️ Refactor suggestion
Add environment variable validation and documentation.
The function lacks proper error handling for environment variables and documentation. Consider these improvements:
def function_name( fname: str, language: str, version: str, trigger: str ): + """Construct a standardized function name for Azure Functions. + + Args: + fname (str): Base function name + language (str): Programming language + version (str): Runtime version + trigger (str): Trigger type + + Returns: + str: Standardized function name + + Raises: + ValueError: If required environment variables are missing or malformed + """ + if not (app_name := os.getenv('APP_NAME')): + raise ValueError("APP_NAME environment variable is not set") + if not (storage_account := os.getenv('ACCOUNT_ID')): + raise ValueError("ACCOUNT_ID environment variable is not set") + - app_name = os.getenv('APP_NAME') app_name = app_name[:app_name.rfind('-')] - - storage_account = os.getenv('ACCOUNT_ID') storage_account = storage_account[7:]📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def function_name( fname: str, language: str, version: str, trigger: str ): """Construct a standardized function name for Azure Functions. Args: fname (str): Base function name language (str): Programming language version (str): Runtime version trigger (str): Trigger type Returns: str: Standardized function name Raises: ValueError: If required environment variables are missing or malformed """ if not (app_name := os.getenv('APP_NAME')): raise ValueError("APP_NAME environment variable is not set") if not (storage_account := os.getenv('ACCOUNT_ID')): raise ValueError("ACCOUNT_ID environment variable is not set") app_name = app_name[:app_name.rfind('-')] storage_account = storage_account[7:] full_name = f"{app_name}-{fname}-{language}-{version}-{storage_account}-{trigger}" full_name = full_name.replace(".", "-") full_name = full_name.replace("_", "-") return full_name
1-26: 💡 Codebase verification
Inconsistencies found in function_name implementation across cloud providers
The Azure implementation differs significantly from AWS and GCP:
- Only Azure truncates the
app_nameat the last hyphen- Only Azure includes
storage_accountin the function name- String replacement rules are inconsistent:
- Azure: replaces both
.and_with-- AWS: replaces
.with_, and only replaces_with-for storage trigger- GCP: only replaces
.with_The
object_pathimplementation is consistent across all providers.Recommendation: Align the
function_nameimplementation across providers to ensure consistent naming patterns, or document why Azure requires different behavior.🔗 Analysis chain
Verify consistent usage across cloud providers.
Since this is a new utility file, let's verify its integration with other cloud providers and calling code.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for similar utility functions across cloud providers and their usage echo "Checking for similar utility functions in AWS and GCP wrappers..." rg -l "function_name|object_path" "benchmarks/wrappers" echo "\nChecking for potential callers of these utility functions..." rg -l "from.*misc import" "benchmarks/wrappers/azure" echo "\nChecking error handling patterns in Azure Functions..." rg "raise ValueError|raise Exception" "benchmarks/wrappers/azure"Length of output: 693
Script:
#!/bin/bash # Let's examine the implementation of these utility functions across cloud providers echo "=== AWS misc.py implementation ===" cat benchmarks/wrappers/aws/python/misc.py echo -e "\n=== GCP misc.py implementation ===" cat benchmarks/wrappers/gcp/python/misc.py # Let's also check for actual usage of these functions echo -e "\n=== Function usage in AWS ===" rg -A 2 "from.*misc import|import.*misc" benchmarks/wrappers/aws/python/ echo -e "\n=== Function usage in GCP ===" rg -A 2 "from.*misc import|import.*misc" benchmarks/wrappers/gcp/python/ echo -e "\n=== Function usage in Azure ===" rg -A 2 "from.*misc import|import.*misc" benchmarks/wrappers/azure/python/Length of output: 1659
Script:
#!/bin/bash # Let's search for actual function calls to see how these utilities are used echo "=== function_name usage across providers ===" rg -A 3 "function_name\(" benchmarks/wrappers/ echo -e "\n=== object_path usage across providers ===" rg -A 3 "object_path\(" benchmarks/wrappers/ # Let's also check if APP_NAME environment variable is properly handled echo -e "\n=== APP_NAME environment variable handling ===" rg -A 2 "os\.getenv\('APP_NAME'\)" benchmarks/wrappers/Length of output: 3519
benchmarks/100.webapps/130.airline-booking/input.py (1)
6-12: 🛠️ Refactor suggestion
Add input validation and error handling.
The function needs several improvements for robustness:
- Input validation for directory paths
- Error handling for file operations
- Documentation for parameters
- The hardcoded '0' parameter in upload_func needs explanation
def upload_files(data_root, data_dir, upload_func): + """ + Recursively uploads files from a directory maintaining the relative path structure. + + Args: + data_root (str): Root directory for calculating relative paths + data_dir (str): Directory containing files to upload + upload_func (callable): Function to handle file upload, expects (bucket_index, file_name, filepath) + + Raises: + ValueError: If directories don't exist + OSError: If file operations fail + """ + if not os.path.isdir(data_root) or not os.path.isdir(data_dir): + raise ValueError("Invalid directory paths provided") + - for root, dirs, files in os.walk(data_dir): + for root, _, files in os.walk(data_dir): prefix = os.path.relpath(root, data_root) for file in files: - file_name = prefix + '/' + file + file_name = os.path.join(prefix, file) filepath = os.path.join(root, file) - upload_func(0, file_name, filepath) + try: + upload_func(0, file_name, filepath) + except Exception as e: + raise OSError(f"Failed to upload {filepath}: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def upload_files(data_root, data_dir, upload_func): """ Recursively uploads files from a directory maintaining the relative path structure. Args: data_root (str): Root directory for calculating relative paths data_dir (str): Directory containing files to upload upload_func (callable): Function to handle file upload, expects (bucket_index, file_name, filepath) Raises: ValueError: If directories don't exist OSError: If file operations fail """ if not os.path.isdir(data_root) or not os.path.isdir(data_dir): raise ValueError("Invalid directory paths provided") for root, _, files in os.walk(data_dir): prefix = os.path.relpath(root, data_root) for file in files: file_name = os.path.join(prefix, file) filepath = os.path.join(root, file) try: upload_func(0, file_name, filepath) except Exception as e: raise OSError(f"Failed to upload {filepath}: {str(e)}")🧰 Tools
🪛 Ruff
7-7: Loop control variable
dirsnot used within loop bodyRename unused
dirsto_dirs(B007)
benchmarks/500.scientific/505.map-reduce/reducer/python/function.py (3)
7-9:
⚠️ Potential issueAdd input validation.
The function assumes the event dictionary contains an 'input' key without validation. Add proper input validation to handle missing or malformed input gracefully.
def handler(event): + if not isinstance(event, dict) or 'input' not in event: + raise ValueError("Event must be a dictionary containing 'input' key") text = event['input'] + if not isinstance(text, str): + raise ValueError("Input must be a string")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler(event): if not isinstance(event, dict) or 'input' not in event: raise ValueError("Event must be a dictionary containing 'input' key") text = event['input'] if not isinstance(text, str): raise ValueError("Input must be a string")
13-21:
⚠️ Potential issueFix variable name mismatch and add error handling.
- There's a variable name mismatch (
process_beginvsprocess_start) causing a runtime error- The word splitting logic doesn't handle malformed input
- process_begin = datetime.datetime.now() + process_start = datetime.datetime.now() words = text.split('\n')[:-1] for word in words: + if ',' not in word: + continue splits = word.split(',') + if len(splits) != 2: + continue word_for_this_reducer = splits[0] - count += int(splits[1]) + try: + count += int(splits[1]) + except ValueError: + continue process_end = datetime.datetime.now()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.process_start = datetime.datetime.now() words = text.split('\n')[:-1] for word in words: if ',' not in word: continue splits = word.split(',') if len(splits) != 2: continue word_for_this_reducer = splits[0] try: count += int(splits[1]) except ValueError: continue process_end = datetime.datetime.now() process_time = (process_end - process_start) / datetime.timedelta(microseconds=1)🧰 Tools
🪛 Ruff
13-13: Local variable
process_beginis assigned to but never usedRemove assignment to unused variable
process_begin(F841)
21-21: Undefined name
process_start(F821)
1-4: 💡 Codebase verification
Remove unused imports
io,json,os, anduuidThe code analysis shows that only the
datetimemodule is being used in the implementation (fordatetime.now()anddatetime.timedelta). The other imported modules (io,json,os, anduuid) are not used anywhere in the code and should be removed to keep the imports clean.🔗 Analysis chain
Verify the necessity of imported modules.
Several imported modules (
io,json,os,uuid) appear to be unused in the current implementation. If these are not required by the storage client or future functionality, consider removing them to keep the imports clean.
Let me check the storage module implementation and the actual usage of these imports in the reducer function.
Let me check if these imports are used in the code:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check if these imports are used by the storage module rg -l "import.*(?:io|json|os|uuid)" --type pyLength of output: 4800
Script:
#!/bin/bash # Check the storage module implementation rg -l "storage\.py" --type py | xargs cat # Check the actual usage of these imports in the reducer function cat benchmarks/500.scientific/505.map-reduce/reducer/python/function.pyLength of output: 76212
Script:
#!/bin/bash # Check usage of each import in the reducer function ast-grep --pattern 'datetime.$_' benchmarks/500.scientific/505.map-reduce/reducer/python/function.py ast-grep --pattern 'io.$_' benchmarks/500.scientific/505.map-reduce/reducer/python/function.py ast-grep --pattern 'json.$_' benchmarks/500.scientific/505.map-reduce/reducer/python/function.py ast-grep --pattern 'os.$_' benchmarks/500.scientific/505.map-reduce/reducer/python/function.py ast-grep --pattern 'uuid.$_' benchmarks/500.scientific/505.map-reduce/reducer/python/function.pyLength of output: 879
🧰 Tools
🪛 Ruff
1-1:
ioimported but unusedRemove unused import
(F401)
1-1:
jsonimported but unusedRemove unused import
(F401)
1-1:
osimported but unusedRemove unused import
(F401)
1-1:
uuidimported but unusedRemove unused import
(F401)
benchmarks/400.inference/430.feature-gen/input.py (1)
6-13: 🛠️ Refactor suggestion
Add error handling and improve documentation.
Several improvements are recommended:
- Add parameter validation for
data_root,data_dir, andupload_func- Add error handling for file operations
- Document the purpose of the hardcoded
0parameter passed toupload_funcdef upload_files(data_root, data_dir, upload_func): + if not os.path.isdir(data_root) or not os.path.isdir(data_dir): + raise ValueError("Invalid directory paths provided") + if not callable(upload_func): + raise TypeError("upload_func must be callable") + - for root, dirs, files in os.walk(data_dir): + for root, _dirs, files in os.walk(data_dir): prefix = os.path.relpath(root, data_root) for file in files: file_name = prefix + '/' + file filepath = os.path.join(root, file) - upload_func(0, file_name, filepath) + try: + upload_func(0, file_name, filepath) + except Exception as e: + raise RuntimeError(f"Failed to upload {filepath}: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def upload_files(data_root, data_dir, upload_func): if not os.path.isdir(data_root) or not os.path.isdir(data_dir): raise ValueError("Invalid directory paths provided") if not callable(upload_func): raise TypeError("upload_func must be callable") for root, _dirs, files in os.walk(data_dir): prefix = os.path.relpath(root, data_root) for file in files: file_name = prefix + '/' + file filepath = os.path.join(root, file) try: upload_func(0, file_name, filepath) except Exception as e: raise RuntimeError(f"Failed to upload {filepath}: {str(e)}")🧰 Tools
🪛 Ruff
7-7: Loop control variable
dirsnot used within loop bodyRename unused
dirsto_dirs(B007)
benchmarks/400.inference/420.prediction-reviews/input.py (3)
1-1: 🛠️ Refactor suggestion
Remove unused import
globThe
globmodule is imported but never used in the code. File traversal is handled usingos.walk.-import glob, os +import os📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import os🧰 Tools
🪛 Ruff
1-1:
globimported but unusedRemove unused import:
glob(F401)
6-12: 🛠️ Refactor suggestion
Enhance robustness and documentation of
upload_filesThe function needs several improvements:
- Add error handling for file operations
- Add type hints and documentation
- Rename unused variable
dirsto_dirs-def upload_files(data_root, data_dir, upload_func): - for root, dirs, files in os.walk(data_dir): +def upload_files(data_root: str, data_dir: str, upload_func: callable) -> None: + """Upload files from a directory while preserving the directory structure. + + Args: + data_root: The root directory to calculate relative paths from + data_dir: The directory containing files to upload + upload_func: Callback function to handle file upload with signature (bucket_idx, file_name, filepath) + + Raises: + OSError: If there are issues accessing the directory or files + """ + try: + for root, _dirs, files in os.walk(data_dir): prefix = os.path.relpath(root, data_root) for file in files: file_name = prefix + '/' + file filepath = os.path.join(root, file) upload_func(0, file_name, filepath) + except OSError as e: + raise OSError(f"Failed to process directory {data_dir}: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def upload_files(data_root: str, data_dir: str, upload_func: callable) -> None: """Upload files from a directory while preserving the directory structure. Args: data_root: The root directory to calculate relative paths from data_dir: The directory containing files to upload upload_func: Callback function to handle file upload with signature (bucket_idx, file_name, filepath) Raises: OSError: If there are issues accessing the directory or files """ try: for root, _dirs, files in os.walk(data_dir): prefix = os.path.relpath(root, data_root) for file in files: file_name = prefix + '/' + file filepath = os.path.join(root, file) upload_func(0, file_name, filepath) except OSError as e: raise OSError(f"Failed to process directory {data_dir}: {str(e)}")🧰 Tools
🪛 Ruff
7-7: Loop control variable
dirsnot used within loop bodyRename unused
dirsto_dirs(B007)
14-27: 💡 Codebase verification
🛠️ Refactor suggestion
⚠️ Potential issueBased on the search results, we can make several observations:
- The model file
lr_model.pkis only referenced in the input generation code- Other benchmarks (e.g., image recognition) actively upload their models
- There's evidence of model upload functionality in the training module
- The commented-out model upload appears to be inconsistent with other benchmarks
Let me generate the final response:
Uncomment and enable model upload for consistency
The model upload should not be commented out as:
- Other benchmarks in the codebase actively upload their models
- The training module supports model uploads
- The input configuration includes model keys, indicating the prediction system expects the model to be available
🔗 Analysis chain
Improve flexibility and robustness of
generate_inputSeveral issues need attention:
- Commented out model upload needs clarification
- Hardcoded values should be configurable
- Missing input validation and error handling
- Missing documentation about the configuration structure
-def generate_input(data_dir, size, benchmarks_bucket, input_paths, output_paths, upload_func): +def generate_input( + data_dir: str, + size: int, + benchmarks_bucket: str, + input_paths: list[str], + output_paths: list[str], + upload_func: callable, + dataset_name: str = 'reviews50mb.csv', + model_name: str = 'lr_model.pk', + sample_input: str = None +) -> dict: + """Generate input configuration for the prediction review system. + + Args: + data_dir: Directory containing the dataset and model + size: Size parameter for the benchmark + benchmarks_bucket: Name of the bucket to store data + input_paths: List of input paths + output_paths: List of output paths + upload_func: Function to handle file uploads + dataset_name: Name of the dataset file (default: reviews50mb.csv) + model_name: Name of the model file (default: lr_model.pk) + sample_input: Sample text for prediction (optional) + + Returns: + dict: Configuration dictionary with dataset, model, and bucket information + + Raises: + FileNotFoundError: If required files are not found + ValueError: If input parameters are invalid + """ + if not input_paths: + raise ValueError("input_paths cannot be empty") + + dataset_path = os.path.join(data_dir, 'dataset', dataset_name) + model_path = os.path.join(data_dir, 'model', model_name) + + if not os.path.exists(dataset_path): + raise FileNotFoundError(f"Dataset not found: {dataset_path}") + if not os.path.exists(model_path): + raise FileNotFoundError(f"Model not found: {model_path}") + dataset_name = 'reviews50mb.csv' upload_func(0, dataset_name, os.path.join(data_dir, 'dataset', dataset_name)) model_name = 'lr_model.pk' - # upload_func(0, model_name, os.path.join(data_dir, 'model', model_name)) + upload_func(0, model_name, model_path) # Uncomment if model upload is required input_config = {'dataset': {}, 'model': {}, 'bucket': {}} input_config['dataset']['key'] = dataset_name input_config['model']['key'] = model_name input_config['bucket']['name'] = benchmarks_bucket input_config['bucket']['path'] = input_paths[0] - input_config['input'] = 'The ambiance is magical. The food and service was nice! The lobster and cheese was to die for and our steaks were cooked perfectly.' + input_config['input'] = sample_input or 'The ambiance is magical. The food and service was nice! The lobster and cheese was to die for and our steaks were cooked perfectly.' return input_configPlease clarify:
- Why is the model upload commented out? Is it intentional or work in progress?
- Should the sample input text be configurable or is it specifically designed for testing?
The previous search was too specific. These broader searches will help us understand:
- How the model file is used in the codebase
- The general pattern of model uploads
- If there are other similar input generation functions for comparison
The results show that model uploads are used in other benchmarks and there's a training module. Let's verify:
- How the model is created/saved in the training code
- How the model is used in prediction to understand if the upload is necessary
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Verify if the model upload is used elsewhere in the codebase rg "upload.*lr_model\.pk" --type pyLength of output: 37
Script:
#!/bin/bash # Let's search for any references to the model file rg "lr_model\.pk" --type py # Also search for model upload patterns rg "upload.*model" --type py -A 2 # Check if there are other similar input generation functions ast-grep --pattern 'def generate_input($$$)'Length of output: 1289
Script:
#!/bin/bash # Let's check the training code to understand the model usage rg -A 10 "lr_model\.pk" benchmarks/400.inference/420.prediction-reviews/training/python/function.py # Check the prediction code that uses this input fd "predict|inference" --type f --exec rg -l "model.*key"Length of output: 161
benchmarks/400.inference/420.prediction-reviews/prediction/python/package.sh (5)
19-26: 🛠️ Refactor suggestion
Improve cleanup operations and error handling.
The cleanup operations need better error suppression and directory navigation safety.
Apply these improvements:
-rm -r pip >/dev/null -rm -r pip-* >/dev/null -rm -r wheel >/dev/null -rm -r wheel-* >/dev/null -rm easy_install.py >/dev/null -find . -name \*.pyc -delete -cd ${CUR_DIR} +echo "Cleaning up package artifacts..." +rm -rf pip pip-* wheel wheel-* easy_install.py 2>/dev/null || true +find . -name "*.pyc" -delete +cd "${CUR_DIR}" || exit 1 echo "Stripped size $(du -sh $1 | cut -f1)"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.echo "Cleaning up package artifacts..." rm -rf pip pip-* wheel wheel-* easy_install.py 2>/dev/null || true find . -name "*.pyc" -delete cd "${CUR_DIR}" || exit 1 echo "Stripped size $(du -sh $1 | cut -f1)"🧰 Tools
🪛 Shellcheck
[warning] 25-25: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
6-12:
⚠️ Potential issueAdd error handling for directory operations.
The directory navigation and cleanup operations need proper error handling and safer file handling.
Apply these improvements:
-CUR_DIR=$(pwd) -cd $1 +CUR_DIR="$(pwd)" +cd "$PACKAGE_DIR" || exit 1 + # cleaning libs -rm -rf external -find . -type d -name "tests" -exec rm -rf {} + -find . -type d -name "test" -exec rm -rf {} + -find . -type d -name "bin" -not -path "*/pandas/*" -exec rm -rf {} + +[ -d external ] && rm -rf external +find . -type d -name "tests" -print0 | xargs -0 rm -rf +find . -type d -name "test" -print0 | xargs -0 rm -rf +find . -type d -name "bin" -not -path "*/pandas/*" -print0 | xargs -0 rm -rf📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.CUR_DIR="$(pwd)" cd "$PACKAGE_DIR" || exit 1 # cleaning libs [ -d external ] && rm -rf external find . -type d -name "tests" -print0 | xargs -0 rm -rf find . -type d -name "test" -print0 | xargs -0 rm -rf find . -type d -name "bin" -not -path "*/pandas/*" -print0 | xargs -0 rm -rf🧰 Tools
🪛 Shellcheck
[warning] 7-7: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
1-4:
⚠️ Potential issueAdd shebang and improve script initialization.
The script is missing critical shell script elements and error handling.
Apply these improvements:
+#!/bin/bash +set -euo pipefail + # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo -PACKAGE_DIR=$1 +if [ $# -ne 1 ]; then + echo "Usage: $0 <package_directory>" >&2 + exit 1 +fi + +PACKAGE_DIR="$1" +if [ ! -d "$PACKAGE_DIR" ]; then + echo "Error: Directory $PACKAGE_DIR does not exist" >&2 + exit 1 +fi + echo "Original size $(du -sh $1 | cut -f1)"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.#!/bin/bash set -euo pipefail # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo if [ $# -ne 1 ]; then echo "Usage: $0 <package_directory>" >&2 exit 1 fi PACKAGE_DIR="$1" if [ ! -d "$PACKAGE_DIR" ]; then echo "Error: Directory $PACKAGE_DIR does not exist" >&2 exit 1 fi echo "Original size $(du -sh $1 | cut -f1)"🧰 Tools
🪛 Shellcheck
[error] 1-1: Tips depend on target shell and yours is unknown. Add a shebang or a 'shell' directive.
(SC2148)
[warning] 3-3: PACKAGE_DIR appears unused. Verify use (or export if used externally).
(SC2034)
14-18: 🛠️ Refactor suggestion
Improve shared object stripping safety and logging.
The shared object stripping needs better error handling and logging.
Apply these improvements:
# cleaning -# stripping some of the numpy libs - libgfortran-2e0d59d6.so.5.0.0 - causes issues on Azure -find -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip -find -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip +echo "Stripping shared objects (excluding PIL, Pillow.libs, and libgfortran)..." +find . -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | \ + xargs -0 -I {} sh -c 'strip {} 2>/dev/null || echo "Warning: Failed to strip {}" >&2' +find . -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | \ + xargs -0 -I {} sh -c 'strip {} 2>/dev/null || echo "Warning: Failed to strip {}" >&2'📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# cleaning echo "Stripping shared objects (excluding PIL, Pillow.libs, and libgfortran)..." find . -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | \ xargs -0 -I {} sh -c 'strip {} 2>/dev/null || echo "Warning: Failed to strip {}" >&2' find . -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | \ xargs -0 -I {} sh -c 'strip {} 2>/dev/null || echo "Warning: Failed to strip {}" >&2'🧰 Tools
🪛 Shellcheck
[warning] 16-16: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
[warning] 17-17: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
28-32:
⚠️ Potential issueImprove platform-specific handling and add error checking.
The pandas handling for AWS/GCP needs better error checking and variable validation.
Apply these improvements:
-if ([[ "${PLATFORM}" == "AWS" ]] || [[ "${PLATFORM}" == "GCP" ]]) && ([[ "${PYTHON_VERSION}" == "3.8" ]] || [[ "${PYTHON_VERSION}" == "3.9" ]]); then +if [ -z "${PLATFORM:-}" ]; then + echo "Warning: PLATFORM environment variable not set" >&2 + exit 1 +fi + +if [ -z "${PYTHON_VERSION:-}" ]; then + echo "Warning: PYTHON_VERSION environment variable not set" >&2 + exit 1 +fi + +if { [ "${PLATFORM}" = "AWS" ] || [ "${PLATFORM}" = "GCP" ]; } && \ + { [ "${PYTHON_VERSION}" = "3.8" ] || [ "${PYTHON_VERSION}" = "3.9" ]; }; then + echo "Compressing pandas directory for ${PLATFORM}..." + if [ ! -d "$1/pandas" ]; then + echo "Warning: pandas directory not found in $1" >&2 + exit 1 + fi zip -qr pandas.zip $1/pandas - rm -rf $1/pandas + rm -rf "$1/pandas" echo "Pandas-zipped size $(du -sh ${CUR_DIR} | cut -f1)" fi📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if [ -z "${PLATFORM:-}" ]; then echo "Warning: PLATFORM environment variable not set" >&2 exit 1 fi if [ -z "${PYTHON_VERSION:-}" ]; then echo "Warning: PYTHON_VERSION environment variable not set" >&2 exit 1 fi if { [ "${PLATFORM}" = "AWS" ] || [ "${PLATFORM}" = "GCP" ]; } && \ { [ "${PYTHON_VERSION}" = "3.8" ] || [ "${PYTHON_VERSION}" = "3.9" ]; }; then echo "Compressing pandas directory for ${PLATFORM}..." if [ ! -d "$1/pandas" ]; then echo "Warning: pandas directory not found in $1" >&2 exit 1 fi zip -qr pandas.zip $1/pandas rm -rf "$1/pandas" echo "Pandas-zipped size $(du -sh ${CUR_DIR} | cut -f1)" fibenchmarks/400.inference/420.prediction-reviews/training/python/package.sh (4)
28-32: 🛠️ Refactor suggestion
Add environment variable validation and improve zip handling.
The platform-specific handling needs environment variable validation.
Add these improvements:
+# Validate required environment variables +if [ -z "${PLATFORM:-}" ] || [ -z "${PYTHON_VERSION:-}" ]; then + echo "Error: PLATFORM and PYTHON_VERSION must be set" + exit 1 +fi + if ([[ "${PLATFORM}" == "AWS" ]] || [[ "${PLATFORM}" == "GCP" ]]) && ([[ "${PYTHON_VERSION}" == "3.8" ]] || [[ "${PYTHON_VERSION}" == "3.9" ]]); then - zip -qr pandas.zip $1/pandas - rm -rf $1/pandas + zip -qr pandas.zip "${PACKAGE_DIR}/pandas" + rm -rf "${PACKAGE_DIR}/pandas" echo "Pandas-zipped size $(du -sh ${CUR_DIR} | cut -f1)" fiCommittable suggestion skipped: line range outside the PR's diff.
6-13: 🛠️ Refactor suggestion
Improve directory navigation safety and cleanup robustness.
The directory navigation lacks error handling, and the cleanup commands could be safer.
Apply these improvements:
CUR_DIR=$(pwd) -cd $1 +cd "$PACKAGE_DIR" || exit 1 + # cleaning libs rm -rf external -find . -type d -name "tests" -exec rm -rf {} + -find . -type d -name "test" -exec rm -rf {} + -find . -type d -name "bin" -not -path "*/pandas/*" -exec rm -rf {} + +find . -type d -name "tests" -print0 | xargs -0 rm -rf +find . -type d -name "test" -print0 | xargs -0 rm -rf +find . -type d -name "bin" -not -path "*/pandas/*" -print0 | xargs -0 rm -rfCommittable suggestion skipped: line range outside the PR's diff.
🧰 Tools
🪛 Shellcheck
[warning] 7-7: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
1-4:
⚠️ Potential issueAdd shebang and input validation.
The script needs proper shell specification and argument validation for robustness.
Apply these improvements:
+#!/bin/bash +set -euo pipefail + # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo +if [ $# -ne 1 ]; then + echo "Usage: $0 <package_directory>" + exit 1 +fi + +if [ ! -d "$1" ]; then + echo "Error: Directory $1 does not exist" + exit 1 +fi + PACKAGE_DIR=$1 echo "Original size $(du -sh $1 | cut -f1)"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.#!/bin/bash set -euo pipefail # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo if [ $# -ne 1 ]; then echo "Usage: $0 <package_directory>" exit 1 fi if [ ! -d "$1" ]; then echo "Error: Directory $1 does not exist" exit 1 fi PACKAGE_DIR=$1 echo "Original size $(du -sh $1 | cut -f1)"🧰 Tools
🪛 Shellcheck
[error] 1-1: Tips depend on target shell and yours is unknown. Add a shebang or a 'shell' directive.
(SC2148)
[warning] 3-3: PACKAGE_DIR appears unused. Verify use (or export if used externally).
(SC2034)
14-18: 🛠️ Refactor suggestion
Enhance binary stripping safety and documentation.
The binary stripping commands need safer execution with proper null-termination.
Apply these improvements:
# cleaning -# stripping some of the numpy libs - libgfortran-2e0d59d6.so.5.0.0 - causes issues on Azure +# Skip stripping libgfortran*.so* as it causes issues on Azure +# Skip PIL and Pillow.libs to preserve functionality -find -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip -find -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip +find . -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | xargs -0 strip +find . -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | xargs -0 strip📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# cleaning # Skip stripping libgfortran*.so* as it causes issues on Azure # Skip PIL and Pillow.libs to preserve functionality find . -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | xargs -0 strip find . -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" -print0 | xargs -0 strip🧰 Tools
🪛 Shellcheck
[warning] 16-16: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
[warning] 17-17: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
benchmarks/400.inference/430.feature-gen/extractor/python/package.sh (3)
28-32: 🛠️ Refactor suggestion
Improve platform-specific pandas handling.
The pandas handling section needs better error checking and documentation.
Apply these improvements:
+# Special handling for pandas on AWS/GCP with Python 3.8/3.9 +# This optimization reduces the package size by compressing pandas if ([[ "${PLATFORM}" == "AWS" ]] || [[ "${PLATFORM}" == "GCP" ]]) && ([[ "${PYTHON_VERSION}" == "3.8" ]] || [[ "${PYTHON_VERSION}" == "3.9" ]]); then - zip -qr pandas.zip $1/pandas - rm -rf $1/pandas - echo "Pandas-zipped size $(du -sh ${CUR_DIR} | cut -f1)" + if [ -d "$1/pandas" ]; then + echo "Compressing pandas directory..." + if zip -qr pandas.zip "$1/pandas"; then + rm -rf "$1/pandas" + echo "Pandas-zipped size $(du -sh "${CUR_DIR}" | cut -f1)" + else + echo "Warning: Failed to compress pandas directory" + fi + else + echo "Warning: pandas directory not found" + fi fiAlso, consider adding environment variable validation at the start of the script:
# Validate required environment variables if [ -z "${PLATFORM:-}" ]; then echo "Error: PLATFORM environment variable is not set" exit 1 fi if [ -z "${PYTHON_VERSION:-}" ]; then echo "Error: PYTHON_VERSION environment variable is not set" exit 1 fi
15-18: 🛠️ Refactor suggestion
Enhance shared object stripping safety.
The current implementation of shared object stripping could be safer and more verbose.
Apply these improvements:
-# stripping some of the numpy libs - libgfortran-2e0d59d6.so.5.0.0 - causes issues on Azure -find -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip -find -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip +# Strip shared objects while preserving specific libraries +echo "Stripping shared objects..." +echo "Note: Preserving PIL, Pillow.libs, and libgfortran (Azure compatibility)" + +find . -type f \( -name "*.so" -o -name "*.so.*" \) \ + -not -path "*/PIL/*" \ + -not -path "*/Pillow.libs/*" \ + -not -path "*libgfortran*" \ + -print0 | xargs -0 -r strip📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# Strip shared objects while preserving specific libraries echo "Stripping shared objects..." echo "Note: Preserving PIL, Pillow.libs, and libgfortran (Azure compatibility)" find . -type f \( -name "*.so" -o -name "*.so.*" \) \ -not -path "*/PIL/*" \ -not -path "*/Pillow.libs/*" \ -not -path "*libgfortran*" \ -print0 | xargs -0 -r strip🧰 Tools
🪛 Shellcheck
[warning] 16-16: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
[warning] 17-17: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
1-7:
⚠️ Potential issueAdd shebang and error handling for directory changes.
The script initialization needs some improvements for better reliability and portability.
Apply these changes:
+#!/bin/bash +set -euo pipefail + # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo PACKAGE_DIR=$1 + +if [ -z "${PACKAGE_DIR}" ]; then + echo "Error: Package directory argument is required" + exit 1 +fi + echo "Original size $(du -sh $1 | cut -f1)" CUR_DIR=$(pwd) -cd $1 +cd "$PACKAGE_DIR" || exit 1📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.#!/bin/bash set -euo pipefail # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo PACKAGE_DIR=$1 if [ -z "${PACKAGE_DIR}" ]; then echo "Error: Package directory argument is required" exit 1 fi echo "Original size $(du -sh $1 | cut -f1)" CUR_DIR=$(pwd) cd "$PACKAGE_DIR" || exit 1🧰 Tools
🪛 Shellcheck
[error] 1-1: Tips depend on target shell and yours is unknown. Add a shebang or a 'shell' directive.
(SC2148)
[warning] 3-3: PACKAGE_DIR appears unused. Verify use (or export if used externally).
(SC2034)
[warning] 7-7: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
benchmarks/400.inference/430.feature-gen/orchestrator/python/package.sh (4)
14-18:
⚠️ Potential issueFix unsafe file handling in stripping operations.
The current implementation doesn't safely handle filenames with spaces or special characters.
Apply this safer approach:
-# cleaning -# stripping some of the numpy libs - libgfortran-2e0d59d6.so.5.0.0 - causes issues on Azure -find -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip -find -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip +# Stripping shared objects while preserving specific libraries +echo "Stripping shared objects..." +find . -type f \( -name "*.so" -o -name "*.so.*" \) \ + -not -path "*/PIL/*" \ + -not -path "*/Pillow.libs/*" \ + -not -path "*libgfortran*" \ + -print0 | xargs -0 -r strip📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# Stripping shared objects while preserving specific libraries echo "Stripping shared objects..." find . -type f \( -name "*.so" -o -name "*.so.*" \) \ -not -path "*/PIL/*" \ -not -path "*/Pillow.libs/*" \ -not -path "*libgfortran*" \ -print0 | xargs -0 -r strip🧰 Tools
🪛 Shellcheck
[warning] 16-16: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
[warning] 17-17: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
19-26: 🛠️ Refactor suggestion
Improve cleanup operations with better error handling and logging.
The current implementation silently ignores errors and provides no feedback.
Apply these improvements:
-rm -r pip >/dev/null -rm -r pip-* >/dev/null -rm -r wheel >/dev/null -rm -r wheel-* >/dev/null -rm easy_install.py >/dev/null -find . -name \*.pyc -delete -cd ${CUR_DIR} +echo "Cleaning package management artifacts..." +for dir in pip pip-* wheel wheel-*; do + if [ -d "$dir" ]; then + echo "Removing directory: $dir" + rm -rf "$dir" + fi +done + +if [ -f easy_install.py ]; then + echo "Removing easy_install.py" + rm easy_install.py +fi + +echo "Removing Python bytecode files..." +find . -type f -name "*.pyc" -delete + +cd "${CUR_DIR}" || exit 1📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.echo "Cleaning package management artifacts..." for dir in pip pip-* wheel wheel-*; do if [ -d "$dir" ]; then echo "Removing directory: $dir" rm -rf "$dir" fi done if [ -f easy_install.py ]; then echo "Removing easy_install.py" rm easy_install.py fi echo "Removing Python bytecode files..." find . -type f -name "*.pyc" -delete cd "${CUR_DIR}" || exit 1 echo "Stripped size $(du -sh $1 | cut -f1)"🧰 Tools
🪛 Shellcheck
[warning] 25-25: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
1-7:
⚠️ Potential issueAdd proper script initialization and error handling.
The script needs better initialization and error handling:
- Missing shebang line
- No directory argument validation
- No error handling for directory changes
Apply these improvements:
+#!/bin/bash +set -euo pipefail + # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo +if [ "$#" -ne 1 ]; then + echo "Usage: $0 PACKAGE_DIR" + exit 1 +fi + PACKAGE_DIR=$1 +if [ ! -d "$PACKAGE_DIR" ]; then + echo "Error: Directory $PACKAGE_DIR does not exist" + exit 1 +fi + echo "Original size $(du -sh $1 | cut -f1)" CUR_DIR=$(pwd) -cd $1 +cd "$1" || exit 1📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.#!/bin/bash set -euo pipefail # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo if [ "$#" -ne 1 ]; then echo "Usage: $0 PACKAGE_DIR" exit 1 fi PACKAGE_DIR=$1 if [ ! -d "$PACKAGE_DIR" ]; then echo "Error: Directory $PACKAGE_DIR does not exist" exit 1 fi echo "Original size $(du -sh $1 | cut -f1)" CUR_DIR=$(pwd) cd "$1" || exit 1🧰 Tools
🪛 Shellcheck
[error] 1-1: Tips depend on target shell and yours is unknown. Add a shebang or a 'shell' directive.
(SC2148)
[warning] 3-3: PACKAGE_DIR appears unused. Verify use (or export if used externally).
(SC2034)
[warning] 7-7: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
28-32:
⚠️ Potential issueAdd validation and safety checks for pandas processing.
The current implementation lacks proper validation and error handling:
- Environment variables are not validated
- Zip operation success is not verified
- Original pandas directory is removed without verification
Apply these improvements:
+# Validate required environment variables +if [ -z "${PLATFORM:-}" ] || [ -z "${PYTHON_VERSION:-}" ]; then + echo "Error: PLATFORM and PYTHON_VERSION must be set" + exit 1 +fi + if ([[ "${PLATFORM}" == "AWS" ]] || [[ "${PLATFORM}" == "GCP" ]]) && ([[ "${PYTHON_VERSION}" == "3.8" ]] || [[ "${PYTHON_VERSION}" == "3.9" ]]); then - zip -qr pandas.zip $1/pandas - rm -rf $1/pandas - echo "Pandas-zipped size $(du -sh ${CUR_DIR} | cut -f1)" + echo "Processing pandas directory for ${PLATFORM} on Python ${PYTHON_VERSION}..." + if [ ! -d "$1/pandas" ]; then + echo "Error: pandas directory not found" + exit 1 + fi + + if ! zip -qr pandas.zip "$1/pandas"; then + echo "Error: Failed to create pandas.zip" + exit 1 + fi + + echo "Successfully created pandas.zip" + rm -rf "$1/pandas" + echo "Pandas-zipped size $(du -sh pandas.zip | cut -f1)" fi📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# Validate required environment variables if [ -z "${PLATFORM:-}" ] || [ -z "${PYTHON_VERSION:-}" ]; then echo "Error: PLATFORM and PYTHON_VERSION must be set" exit 1 fi if ([[ "${PLATFORM}" == "AWS" ]] || [[ "${PLATFORM}" == "GCP" ]]) && ([[ "${PYTHON_VERSION}" == "3.8" ]] || [[ "${PYTHON_VERSION}" == "3.9" ]]); then echo "Processing pandas directory for ${PLATFORM} on Python ${PYTHON_VERSION}..." if [ ! -d "$1/pandas" ]; then echo "Error: pandas directory not found" exit 1 fi if ! zip -qr pandas.zip "$1/pandas"; then echo "Error: Failed to create pandas.zip" exit 1 fi echo "Successfully created pandas.zip" rm -rf "$1/pandas" echo "Pandas-zipped size $(du -sh pandas.zip | cut -f1)" fibenchmarks/400.inference/430.feature-gen/reducer/python/package.sh (3)
9-13: 🛠️ Refactor suggestion
Improve robustness of cleanup operations.
The cleanup operations could fail silently if directories don't exist and might have issues with special characters in filenames.
Apply these changes:
-rm -rf external +[ -d external ] && rm -rf external + # Use -delete with find for better handling of special characters -find . -type d -name "tests" -exec rm -rf {} + -find . -type d -name "test" -exec rm -rf {} + -find . -type d -name "bin" -not -path "*/pandas/*" -exec rm -rf {} + +find . -type d -name "tests" -delete +find . -type d -name "test" -delete +find . -type d -name "bin" -not -path "*/pandas/*" -delete📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.[ -d external ] && rm -rf external # Use -delete with find for better handling of special characters find . -type d -name "tests" -delete find . -type d -name "test" -delete find . -type d -name "bin" -not -path "*/pandas/*" -delete
15-18: 🛠️ Refactor suggestion
Enhance shared object stripping safety and efficiency.
The current implementation of .so file stripping could be improved for better handling of filenames with spaces and special characters.
Apply these changes:
-find -name "*.so" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip -find -name "*.so.*" -not -path "*/PIL/*" -not -path "*/Pillow.libs/*" -not -path "*libgfortran*" | xargs strip +find . -type f \( -name "*.so" -o -name "*.so.*" \) \ + -not -path "*/PIL/*" \ + -not -path "*/Pillow.libs/*" \ + -not -path "*libgfortran*" \ + -exec strip {} +📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# stripping some of the numpy libs - libgfortran-2e0d59d6.so.5.0.0 - causes issues on Azure find . -type f \( -name "*.so" -o -name "*.so.*" \) \ -not -path "*/PIL/*" \ -not -path "*/Pillow.libs/*" \ -not -path "*libgfortran*" \ -exec strip {} +🧰 Tools
🪛 Shellcheck
[warning] 16-16: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
[warning] 17-17: Use -print0/-0 or -exec + to allow for non-alphanumeric filenames.
(SC2038)
1-7:
⚠️ Potential issueAdd shebang and improve error handling for directory changes.
The script initialization needs some improvements for better reliability and portability.
Apply these changes:
+#!/bin/bash +set -euo pipefail + # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo -PACKAGE_DIR=$1 +if [ $# -ne 1 ]; then + echo "Usage: $0 <package_dir>" >&2 + exit 1 +fi + +PACKAGE_DIR="$1" echo "Original size $(du -sh $1 | cut -f1)" CUR_DIR=$(pwd) -cd $1 +cd "$PACKAGE_DIR" || exit 1📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.#!/bin/bash set -euo pipefail # Stripping package code is based on https://github.com/ryfeus/lambda-packs repo if [ $# -ne 1 ]; then echo "Usage: $0 <package_dir>" >&2 exit 1 fi PACKAGE_DIR="$1" echo "Original size $(du -sh $1 | cut -f1)" CUR_DIR=$(pwd) cd "$PACKAGE_DIR" || exit 1🧰 Tools
🪛 Shellcheck
[error] 1-1: Tips depend on target shell and yours is unknown. Add a shebang or a 'shell' directive.
(SC2148)
[warning] 3-3: PACKAGE_DIR appears unused. Verify use (or export if used externally).
(SC2034)
[warning] 7-7: Use 'cd ... || exit' or 'cd ... || return' in case cd fails.
(SC2164)
benchmarks/500.scientific/505.map-reduce/splitter/python/function.py (3)
12-16: 🛠️ Refactor suggestion
Improve text splitting logic.
The current implementation has two issues:
- Using
split('.')removes the period character, which might be needed for proper sentence reconstruction- Integer division for chunk size might result in uneven distribution with very small texts
Consider this improved implementation:
- # split by . - sentences = text.split('.') + # split by . while preserving the delimiter + sentences = [s + '.' for s in text.split('.') if s.strip()] - # obtain length of list - chunk_size = len(sentences) // mappers + # ensure at least one sentence per mapper + chunk_size = max(1, len(sentences) // mappers)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# split by . while preserving the delimiter sentences = [s + '.' for s in text.split('.') if s.strip()] # ensure at least one sentence per mapper chunk_size = max(1, len(sentences) // mappers)
8-11:
⚠️ Potential issueAdd input validation for required event fields.
The function assumes the event dictionary contains 'mappers', 'text', and 'request-id' keys without validation. This could lead to KeyError exceptions.
Add validation at the start of the function:
def handler(event): + required_fields = ['mappers', 'text', 'request-id'] + missing_fields = [field for field in required_fields if field not in event] + if missing_fields: + raise ValueError(f"Missing required fields: {', '.join(missing_fields)}") + mappers = int(event['mappers']) + if mappers <= 0: + raise ValueError("Number of mappers must be positive") + text = event['text'] + if not text: + raise ValueError("Text input cannot be empty")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler(event): required_fields = ['mappers', 'text', 'request-id'] missing_fields = [field for field in required_fields if field not in event] if missing_fields: raise ValueError(f"Missing required fields: {', '.join(missing_fields)}") mappers = int(event['mappers']) if mappers <= 0: raise ValueError("Number of mappers must be positive") text = event['text'] if not text: raise ValueError("Text input cannot be empty")
31-39:
⚠️ Potential issueAdd error handling for storage operations.
The storage upload operations lack error handling, which could lead to partial uploads and inconsistent state.
Add proper error handling:
- # storage trigger code: for each mapper, upload to bucket - bucket = misc.function_name( - fname='mapper', - language='python', - version='3.9', - trigger='storage' - ) - client.upload(bucket, f'payload{i}.json', local_path, True) + try: + bucket = misc.function_name( + fname='mapper', + language='python', + version='3.9', + trigger='storage' + ) + client.upload(bucket, f'payload{i}.json', local_path, True) + except Exception as e: + # Clean up any successful uploads before failing + for j in range(i): + try: + client.delete(bucket, f'payload{j}.json') + except: + pass + raise RuntimeError(f"Failed to upload chunk {i}: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.try: bucket = misc.function_name( fname='mapper', language='python', version='3.9', trigger='storage' ) client.upload(bucket, f'payload{i}.json', local_path, True) except Exception as e: # Clean up any successful uploads before failing for j in range(i): try: client.delete(bucket, f'payload{j}.json') except: pass raise RuntimeError(f"Failed to upload chunk {i}: {str(e)}")benchmarks/100.webapps/130.airline-booking/release_flight/python/function.py (1)
22-33:
⚠️ Potential issueImplement the NoSQL update operation.
The core functionality is currently missing:
- The TODO comment indicates waiting for a generic NoSQL wrapper
- No error handling for NoSQL operations is implemented
- The commented code shows the intended logic but needs adaptation
Would you like help with:
- Implementing the generic NoSQL update operation?
- Adding proper error handling?
benchmarks/500.scientific/505.map-reduce/mapper/python/function.py (3)
1-6: 🛠️ Refactor suggestion
Clean up imports and consider client initialization strategy.
- Remove unused imports
ioandos.- The global storage client instance might impact cold start times and complicate testing.
-import datetime, io, json, os, uuid +import datetime, json, uuid from . import misc from . import storage -client = storage.storage.get_instance() def handler(event): + client = storage.storage.get_instance()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import datetime, json, uuid from . import misc from . import storage def handler(event): client = storage.storage.get_instance()🧰 Tools
🪛 Ruff
1-1:
ioimported but unusedRemove unused import
(F401)
1-1:
osimported but unusedRemove unused import
(F401)
31-44:
⚠️ Potential issueImprove file handling and add error handling.
- Temporary file is not cleaned up after upload
- Missing error handling for file operations
- Consider using context managers for resource management
- file_name = f'payload{str(uuid.uuid4())}.json' - file_path = f'/tmp/{file_name}' - with open(file_path, 'w') as f: - f.write(json.dumps(sorter_input)) + try: + file_name = f'payload{str(uuid.uuid4())}.json' + file_path = f'/tmp/{file_name}' + with open(file_path, 'w') as f: + json.dump(sorter_input, f) + + bucket = misc.function_name( + fname='sorter', + language='python', + version='3.9', + trigger='storage' + ) + upload_begin = datetime.datetime.now() + client.upload(bucket, file_name, file_path) + upload_end = datetime.datetime.now() + finally: + if os.path.exists(file_path): + os.remove(file_path)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.try: file_name = f'payload{str(uuid.uuid4())}.json' file_path = f'/tmp/{file_name}' with open(file_path, 'w') as f: json.dump(sorter_input, f) bucket = misc.function_name( fname='sorter', language='python', version='3.9', trigger='storage' ) upload_begin = datetime.datetime.now() client.upload(bucket, file_name, file_path) upload_end = datetime.datetime.now() finally: if os.path.exists(file_path): os.remove(file_path)
25-29:
⚠️ Potential issueAdd input validation for required event parameters.
The function assumes the presence of 'mappers' and 'request-id' in the event dictionary without validation.
def handler(event): + required_fields = ['text', 'mappers', 'request-id'] + missing_fields = [field for field in required_fields if field not in event] + if missing_fields: + raise ValueError(f"Missing required fields: {', '.join(missing_fields)}") + text = event['text'] # ... processing ...Committable suggestion skipped: line range outside the PR's diff.
benchmarks/400.inference/430.feature-gen/job_status/python/function.py (3)
13-17:
⚠️ Potential issueImplement timeout and optimize polling strategy.
The current implementation has several potential issues:
- No timeout mechanism could lead to infinite execution
- Fixed 10-second sleep interval is inefficient
- Frequent storage API calls could incur unnecessary costs
+ MAX_WAIT_TIME = 3600 # 1 hour timeout + INITIAL_SLEEP = 1 + MAX_SLEEP = 30 + sleep_time = INITIAL_SLEEP wait_begin = datetime.datetime.now() while (True): + current_time = datetime.datetime.now() + if (current_time - wait_begin).total_seconds() > MAX_WAIT_TIME: + raise TimeoutError(f"Timeout waiting for {file_count} files in bucket {bucket}") + objs = client.list_objects(bucket, misc.object_path('extractors_output', '')) if (file_count == len(objs)): wait_end = datetime.datetime.now() + break else: - time.sleep(10) + time.sleep(sleep_time) + sleep_time = min(sleep_time * 2, MAX_SLEEP) # Exponential backoffAlso applies to: 46-47
9-11:
⚠️ Potential issueAdd error handling for event parameters.
The function should validate the event structure and handle potential errors:
- Missing required fields ('output_bucket', 'file_count')
- Invalid file_count value
def handler(event): + if not event or 'output_bucket' not in event or 'name' not in event['output_bucket']: + raise ValueError("Missing required field: output_bucket") + if 'file_count' not in event: + raise ValueError("Missing required field: file_count") bucket = event['output_bucket']['name'] - file_count = int(event['file_count']) + try: + file_count = int(event['file_count']) + if file_count < 0: + raise ValueError("file_count must be non-negative") + except ValueError as e: + raise ValueError(f"Invalid file_count: {event['file_count']}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler(event): if not event or 'output_bucket' not in event or 'name' not in event['output_bucket']: raise ValueError("Missing required field: output_bucket") if 'file_count' not in event: raise ValueError("Missing required field: file_count") bucket = event['output_bucket']['name'] try: file_count = int(event['file_count']) if file_count < 0: raise ValueError("file_count must be non-negative") except ValueError as e: raise ValueError(f"Invalid file_count: {event['file_count']}")
19-34:
⚠️ Potential issueAdd error handling for queue operations and optimize client creation.
The queue operations lack error handling and the client creation could be optimized.
+ # Move queue client creation to module level or function start + queue_client = queue.queue( + misc.function_name( + fname='orchestrator', + language='python', + version='3.9', + trigger='queue' + ) + ) + orchestrator_input = {'bucket': {}} orchestrator_input['bucket']['name'] = bucket orchestrator_input['start_reducer'] = True orchestrator_input['parent_execution_id'] = event['request-id'] queue_begin = datetime.datetime.now() - queue_client = queue.queue( - misc.function_name( - fname='orchestrator', - language='python', - version='3.9', - trigger='queue' - ) - ) - queue_client.send_message(json.dumps(orchestrator_input)) + try: + queue_client.send_message(json.dumps(orchestrator_input)) + except Exception as e: + raise RuntimeError(f"Failed to send message to queue: {str(e)}") queue_end = datetime.datetime.now()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# Move queue client creation to module level or function start queue_client = queue.queue( misc.function_name( fname='orchestrator', language='python', version='3.9', trigger='queue' ) ) orchestrator_input = {'bucket': {}} orchestrator_input['bucket']['name'] = bucket orchestrator_input['start_reducer'] = True orchestrator_input['parent_execution_id'] = event['request-id'] queue_begin = datetime.datetime.now() try: queue_client.send_message(json.dumps(orchestrator_input)) except Exception as e: raise RuntimeError(f"Failed to send message to queue: {str(e)}") queue_end = datetime.datetime.now()benchmarks/100.webapps/130.airline-booking/notify_booking/python/function.py (3)
36-41:
⚠️ Potential issueAdd missing validation and handle unused variables
There are several issues in this section:
- The code accesses
event['reference']without validation, which could raise a KeyError- The
customer_idvariable is assigned but never usedConsider this implementation:
if ('customer_id' not in event): raise ValueError('Invalid customer ID') + if ('reference' not in event): + raise ValueError('Invalid booking reference') - customer_id = event['customer_id'] booking_reference = event['reference']📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if ('customer_id' not in event): raise ValueError('Invalid customer ID') if ('reference' not in event): raise ValueError('Invalid booking reference') booking_reference = event['reference']🧰 Tools
🪛 Ruff
39-39: Local variable
customer_idis assigned to but never usedRemove assignment to unused variable
customer_id(F841)
4-35:
⚠️ Potential issueFix documentation inconsistencies
The docstring has several inconsistencies with the implementation:
- It mentions a
contextparameter that's not in the function signature- The return type is documented as
stringwith anotificationId, but the function returns a dictionary withresultandmeasurementPlease update the docstring to match the actual implementation:
def handler(event): """AWS Lambda Function entrypoint to notify booking Parameters ---------- event: dict, required Step Functions State Machine event customer_id: string Unique Customer ID price: string Flight price bookingReference: string Confirmed booking reference - context: object, required - Lambda Context runtime methods and attributes - Context doc: https://docs.aws.amazon.com/lambda/latest/dg/python-context-object.html Returns ------- - string - notificationId - Unique ID confirming notification delivery + dict + result: int + Operation result code + measurement: dict + Performance measurements Raises ------ BookingNotificationException Booking Notification Exception including error message upon failure """Committable suggestion skipped: line range outside the PR's diff.
60-63: 🛠️ Refactor suggestion
Enhance error handling and result codes
The function always returns a success code (0) with empty measurements, regardless of the operation's outcome. Consider implementing proper error handling and meaningful result codes.
return { - 'result': 0, + 'result': result_code, # Different codes for success/failure scenarios 'measurement': {} }Consider adding:
- Different result codes for various scenarios (success, validation error, notification error)
- Error details in case of failures
- Basic measurements (e.g., notification timestamp)
Committable suggestion skipped: line range outside the PR's diff.
benchmarks/100.webapps/130.airline-booking/reserve_flight/python/function.py (4)
23-35:
⚠️ Potential issueFix timing measurement for commented database operation.
The code measures timing for a commented-out database operation, which provides misleading metrics.
Either implement the NoSQL operation or remove the timing measurement until the TODO is addressed:
- update_begin = datetime.datetime.now() # TODO: rewrite with generic nosql wrapper once it is merged - # table.update_item( - # Key={"id": outbound_flight_id}, - # ConditionExpression="id = :idVal AND seatCapacity > :zero", - # UpdateExpression="SET seatCapacity = seatCapacity - :dec", - # ExpressionAttributeValues={ - # ":idVal": outbound_flight_id, - # ":dec": 1, - # ":zero": 0 - # }, - # ) - update_end = datetime.datetime.now()Would you like me to help implement the NoSQL wrapper integration?
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# TODO: rewrite with generic nosql wrapper once it is merged
1-15: 🛠️ Refactor suggestion
Remove unused import and clean up database initialization code.
The code contains an unused import and maintains two different database initialization approaches which could lead to confusion.
Apply these changes:
-import datetime, json, os +import datetime, json from . import misc from . import queue from . import nosql nosql_client = nosql.nosql.get_instance() nosql_table_name = 'flight_table' -# import boto3 -# session = boto3.Session() -# dynamodb = session.resource('dynamodb') -# table = dynamodb.Table('flight_table')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import datetime, json from . import misc from . import queue from . import nosql nosql_client = nosql.nosql.get_instance() nosql_table_name = 'flight_table'🧰 Tools
🪛 Ruff
1-1:
osimported but unusedRemove unused import:
os(F401)
44-54:
⚠️ Potential issueAdd error handling for queue operations.
The queue operations lack error handling, which could lead to silent failures.
Add try-catch block for queue operations:
queue_begin = datetime.datetime.now() - queue_client = queue.queue( - misc.function_name( - fname='reserve_booking', - language='python', - version='3.9', - trigger='queue' - ) - ) - queue_client.send_message(json.dumps(reserve_booking_input)) + try: + queue_client = queue.queue( + misc.function_name( + fname='reserve_booking', + language='python', + version='3.9', + trigger='queue' + ) + ) + queue_client.send_message(json.dumps(reserve_booking_input)) + except Exception as e: + raise RuntimeError(f"Failed to queue reservation: {str(e)}") queue_end = datetime.datetime.now()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.queue_begin = datetime.datetime.now() try: queue_client = queue.queue( misc.function_name( fname='reserve_booking', language='python', version='3.9', trigger='queue' ) ) queue_client.send_message(json.dumps(reserve_booking_input)) except Exception as e: raise RuntimeError(f"Failed to queue reservation: {str(e)}") queue_end = datetime.datetime.now()
17-22:
⚠️ Potential issueEnhance input validation for all required fields.
The function only validates
outbound_flight_idbut silently accepts missingcharge_idandcustomer_id.Add validation for all required fields:
def handler(event): - if ('outbound_flight_id' not in event): + required_fields = ['outbound_flight_id', 'charge_id', 'customer_id'] + missing_fields = [field for field in required_fields if field not in event] + if missing_fields: raise ValueError('Invalid arguments') outbound_flight_id = event['outbound_flight_id']📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler(event): required_fields = ['outbound_flight_id', 'charge_id', 'customer_id'] missing_fields = [field for field in required_fields if field not in event] if missing_fields: raise ValueError('Invalid arguments') outbound_flight_id = event['outbound_flight_id']benchmarks/wrappers/aws/python/storage.py (5)
74-75: 🛠️ Refactor suggestion
Add validation, error handling, and success confirmation.
The delete_object method needs several improvements:
- Input validation
- Error handling
- Success confirmation
def delete_object(self, bucket, key): - self.client.delete_object(Bucket=bucket, Key=key) + if not bucket or not key: + raise ValueError("Bucket and key cannot be empty") + try: + response = self.client.delete_object(Bucket=bucket, Key=key) + # Check if deletion was successful + if 'DeleteMarker' in response: + return response['DeleteMarker'] + return True + except Exception as e: + raise Exception(f"Failed to delete object from S3: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def delete_object(self, bucket, key): if not bucket or not key: raise ValueError("Bucket and key cannot be empty") try: response = self.client.delete_object(Bucket=bucket, Key=key) # Check if deletion was successful if 'DeleteMarker' in response: return response['DeleteMarker'] return True except Exception as e: raise Exception(f"Failed to delete object from S3: {str(e)}")
24-27: 🛠️ Refactor suggestion
Add input validation and error handling.
While the overwrite functionality is a good addition, consider these improvements:
- Add input validation for file names
- Add error handling for S3 operations
- Remove unnecessary parentheses in the if statement
def upload(self, bucket, file, filepath, overwrite=False): + if not file or not filepath: + raise ValueError("File name and filepath cannot be empty") key_name = storage.unique_name(file) - if (overwrite): + if overwrite: key_name = file - self.client.upload_file(filepath, bucket, key_name) + try: + self.client.upload_file(filepath, bucket, key_name) + except Exception as e: + raise Exception(f"Failed to upload file to S3: {str(e)}") return key_name📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def upload(self, bucket, file, filepath, overwrite=False): if not file or not filepath: raise ValueError("File name and filepath cannot be empty") key_name = storage.unique_name(file) if overwrite: key_name = file try: self.client.upload_file(filepath, bucket, key_name) except Exception as e: raise Exception(f"Failed to upload file to S3: {str(e)}") return key_name
54-56: 🛠️ Refactor suggestion
Add safety measures for object retrieval.
The get_object implementation needs several improvements:
- Input validation
- Error handling
- Consider streaming for large objects
- Content type handling
def get_object(self, bucket, file): + if not bucket or not file: + raise ValueError("Bucket and file name cannot be empty") + try: obj = self.client.get_object(Bucket=bucket, Key=file) + content_length = int(obj['ContentLength']) + if content_length > 100_000_000: # 100MB + raise ValueError("Object too large for memory. Use download_stream instead") return obj['Body'].read() + except Exception as e: + raise Exception(f"Failed to get object from S3: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def get_object(self, bucket, file): if not bucket or not file: raise ValueError("Bucket and file name cannot be empty") try: obj = self.client.get_object(Bucket=bucket, Key=file) content_length = int(obj['ContentLength']) if content_length > 100_000_000: # 100MB raise ValueError("Object too large for memory. Use download_stream instead") return obj['Body'].read() except Exception as e: raise Exception(f"Failed to get object from S3: {str(e)}")
42-45: 🛠️ Refactor suggestion
Apply same improvements as upload method for consistency.
The upload_stream method needs similar improvements:
- Input validation
- Error handling
- Remove unnecessary parentheses
def upload_stream(self, bucket, file, data, overwrite=False): + if not file or data is None: + raise ValueError("File name and data cannot be empty") key_name = storage.unique_name(file) - if (overwrite): + if overwrite: key_name = file - self.client.upload_fileobj(data, bucket, key_name) + try: + self.client.upload_fileobj(data, bucket, key_name) + except Exception as e: + raise Exception(f"Failed to upload stream to S3: {str(e)}") return key_name📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def upload_stream(self, bucket, file, data, overwrite=False): if not file or data is None: raise ValueError("File name and data cannot be empty") key_name = storage.unique_name(file) if overwrite: key_name = file try: self.client.upload_fileobj(data, bucket, key_name) except Exception as e: raise Exception(f"Failed to upload stream to S3: {str(e)}") return key_name
63-72:
⚠️ Potential issueCritical: Use list_objects_v2 and handle pagination.
Several critical improvements needed:
- Use list_objects_v2 instead of deprecated list_objects
- Handle pagination for large buckets
- Handle empty buckets
- Remove unnecessary parentheses
def list_objects(self, bucket, prefix=None): - if (not prefix): + if not prefix: prefix = '' - res = self.client.list_objects(Bucket=bucket, Prefix=prefix) - objs = [] - for obj in res['Contents']: - objs.append(obj['Key']) - + try: + paginator = self.client.get_paginator('list_objects_v2') + for page in paginator.paginate(Bucket=bucket, Prefix=prefix): + if 'Contents' in page: + objs.extend(obj['Key'] for obj in page['Contents']) + except Exception as e: + raise Exception(f"Failed to list objects in S3: {str(e)}") return objs📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def list_objects(self, bucket, prefix=None): if not prefix: prefix = '' objs = [] try: paginator = self.client.get_paginator('list_objects_v2') for page in paginator.paginate(Bucket=bucket, Prefix=prefix): if 'Contents' in page: objs.extend(obj['Key'] for obj in page['Contents']) except Exception as e: raise Exception(f"Failed to list objects in S3: {str(e)}") return objsbenchmarks/wrappers/gcp/python/storage.py (2)
83-86: 🛠️ Refactor suggestion
Add error handling and return status for delete operation.
The
delete_objectmethod should handle non-existent objects and return a status to indicate success.def delete_object(self, bucket, key): bucket = self.client.bucket(bucket) blob = bucket.blob(key) + if not blob.exists(): + raise ValueError(f"Object {key} does not exist in bucket {bucket}") blob.delete() + return True📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def delete_object(self, bucket, key): bucket = self.client.bucket(bucket) blob = bucket.blob(key) if not blob.exists(): raise ValueError(f"Object {key} does not exist in bucket {bucket}") blob.delete() return True
63-67: 🛠️ Refactor suggestion
Add error handling and consider streaming for large objects.
The
get_objectmethod could be improved in two ways:
- Add error handling for non-existent objects
- Consider using streaming for large files to prevent memory issues
def get_object(self, bucket, key): bucket_instance = self.client.bucket(bucket) blob = bucket_instance.blob(key) + if not blob.exists(): + raise ValueError(f"Object {key} does not exist in bucket {bucket}") + # For large files, consider using download_to_file with a stream instead contents = blob.download_as_bytes() return contentsCommittable suggestion skipped: line range outside the PR's diff.
benchmarks/100.webapps/130.airline-booking/confirm_booking/python/function.py (3)
38-54:
⚠️ Potential issueImplement NoSQL wrapper for booking confirmation.
The booking confirmation logic is incomplete with a TODO comment. This is a critical part of the function that needs to be implemented.
Consider implementing the NoSQL update using the wrapper:
nosql_client = get_nosql_client() update_expression = { 'bookingReference': reference, 'status': 'CONFIRMED' } condition_expression = {'id': booking_id} nosql_client.update_item( table_name=nosql_table_name, key={'id': booking_id}, update_expression=update_expression, condition_expression=condition_expression )Would you like me to help implement the complete NoSQL wrapper integration or create an issue to track this task?
1-15: 🛠️ Refactor suggestion
Remove unused import and consider lazy initialization.
- The
osmodule is imported but never used.- Global initialization of the NoSQL client may not be optimal for serverless environments where cold starts are important.
Consider these changes:
-import datetime, json, os, secrets +import datetime +import json +import secrets from . import misc from . import queue from . import nosql -nosql_client = nosql.nosql.get_instance() +def get_nosql_client(): + return nosql.nosql.get_instance() nosql_table_name = 'booking_table'📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import datetime import json import secrets from . import misc from . import queue from . import nosql def get_nosql_client(): return nosql.nosql.get_instance() nosql_table_name = 'booking_table' # import boto3 # session = boto3.Session() # dynamodb = session.resource('dynamodb') # table = dynamodb.Table('booking_table')🧰 Tools
🪛 Ruff
1-1:
osimported but unusedRemove unused import:
os(F401)
33-36:
⚠️ Potential issueEnhance input validation for all required parameters.
The function only validates
booking_idbut notcustomer_idorrequest-id, which are used later in the code.Consider this more robust validation:
- if ('booking_id' not in event): - raise ValueError('Invalid booking ID') + required_fields = ['booking_id', 'customer_id', 'request-id'] + missing_fields = [field for field in required_fields if field not in event] + if missing_fields: + raise ValueError(f'Missing required fields: {", ".join(missing_fields)}') booking_id = event['booking_id'] + customer_id = event['customer_id'] + request_id = event['request-id']📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.required_fields = ['booking_id', 'customer_id', 'request-id'] missing_fields = [field for field in required_fields if field not in event] if missing_fields: raise ValueError(f'Missing required fields: {", ".join(missing_fields)}') booking_id = event['booking_id'] customer_id = event['customer_id'] request_id = event['request-id']benchmarks/100.webapps/130.airline-booking/cancel_booking/python/function.py (2)
1-15: 🛠️ Refactor suggestion
Clean up imports and improve initialization.
- The
osmodule is imported but never used.- The NoSQL client initialization lacks error handling.
- Remove commented boto3 code if it's no longer needed.
Apply this diff to clean up the imports:
-import datetime, json, os +import datetime +import json from . import misc from . import queue from . import nosql -nosql_client = nosql.nosql.get_instance() +try: + nosql_client = nosql.nosql.get_instance() +except Exception as e: + raise RuntimeError(f"Failed to initialize NoSQL client: {str(e)}") nosql_table_name = 'booking_table' -# import boto3 -# session = boto3.Session() -# dynamodb = session.resource('dynamodb') -# table = dynamodb.Table('booking_table')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import datetime import json from . import misc from . import queue from . import nosql try: nosql_client = nosql.nosql.get_instance() except Exception as e: raise RuntimeError(f"Failed to initialize NoSQL client: {str(e)}") nosql_table_name = 'booking_table'🧰 Tools
🪛 Ruff
1-1:
osimported but unusedRemove unused import:
os(F401)
58-73:
⚠️ Potential issueAdd error handling for queue operations.
The queue message sending operation lacks error handling, which could lead to silent failures.
Add try-catch block:
queue_begin = datetime.datetime.now() -queue_client = queue.queue( - misc.function_name( - fname='release_flight', - language='python', - version='3.9', - trigger='queue' - ) -) -queue_client.send_message(json.dumps(release_flight_input)) +try: + queue_client = queue.queue( + misc.function_name( + fname='release_flight', + language='python', + version='3.9', + trigger='queue' + ) + ) + queue_client.send_message(json.dumps(release_flight_input)) +except Exception as e: + raise RuntimeError(f"Failed to send message to queue: {str(e)}") queue_end = datetime.datetime.now()📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.release_flight_input = { 'outbound_flight_id': event['outbound_flight_id'], 'parent_execution_id': event['request-id'] } queue_begin = datetime.datetime.now() try: queue_client = queue.queue( misc.function_name( fname='release_flight', language='python', version='3.9', trigger='queue' ) ) queue_client.send_message(json.dumps(release_flight_input)) except Exception as e: raise RuntimeError(f"Failed to send message to queue: {str(e)}") queue_end = datetime.datetime.now()benchmarks/wrappers/azure/python/storage.py (2)
62-65: 🛠️ Refactor suggestion
Add error handling for non-existent blobs.
The implementation should handle cases where the blob doesn't exist to prevent uncaught exceptions.
Consider adding error handling:
def get_object(self, container, key): + try: blob_client = self.client.get_blob_client(container=container, blob=key) downloader = blob_client.download_blob() return downloader.readall() + except azure.core.exceptions.ResourceNotFoundError: + return None📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def get_object(self, container, key): try: blob_client = self.client.get_blob_client(container=container, blob=key) downloader = blob_client.download_blob() return downloader.readall() except azure.core.exceptions.ResourceNotFoundError: return None
78-80: 🛠️ Refactor suggestion
Add error handling for delete operation.
The delete operation should handle cases where the blob doesn't exist gracefully.
Consider adding error handling:
def delete_object(self, bucket, key): + try: blob_client = self.client.get_blob_client(container=bucket, blob=key) blob_client.delete_blob(delete_snapshots="include") + return True + except azure.core.exceptions.ResourceNotFoundError: + return FalseCommittable suggestion skipped: line range outside the PR's diff.
sebs/azure/queue.py (3)
35-45: 🛠️ Refactor suggestion
Add error handling for Azure credential initialization.
The DefaultAzureCredential initialization could fail if Azure credentials are not properly configured. Consider adding try-catch block to provide better error messages.
- default_credential = DefaultAzureCredential() + try: + default_credential = DefaultAzureCredential() + except Exception as e: + raise RuntimeError(f"Failed to initialize Azure credentials: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.try: default_credential = DefaultAzureCredential() except Exception as e: raise RuntimeError(f"Failed to initialize Azure credentials: {str(e)}") super().__init__( benchmark, queue_type, region ) self._storage_account = storage_account self.client = QueueClient(self.account_url, queue_name=self.name, credential=default_credential)
94-101:
⚠️ Potential issueFix parameter mismatch in deserialize method and add input validation.
The deserialize method uses incorrect parameter names. The constructor expects 'benchmark' but receives 'name'. Also, consider adding input validation.
@staticmethod def deserialize(obj: dict) -> "AzureQueue": + required_keys = {"name", "type", "storage_account", "region"} + if not all(key in obj for key in required_keys): + raise ValueError(f"Missing required keys. Expected: {required_keys}") return AzureQueue( - obj["name"], + benchmark=obj["name"], obj["type"], obj["storage_account"], obj["region"] )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@staticmethod def deserialize(obj: dict) -> "AzureQueue": required_keys = {"name", "type", "storage_account", "region"} if not all(key in obj for key in required_keys): raise ValueError(f"Missing required keys. Expected: {required_keys}") return AzureQueue( benchmark=obj["name"], obj["type"], obj["storage_account"], obj["region"] )
78-79:
⚠️ Potential issueAdd error handling for base64 decoding.
The base64 decoding could fail with invalid input. Consider adding try-catch block to handle potential errors.
- msg = base64.b64decode(msg.content) - return msg + try: + msg = base64.b64decode(msg.content) + return msg + except Exception as e: + self.logging.error(f"Failed to decode message: {str(e)}") + return ""Committable suggestion skipped: line range outside the PR's diff.
benchmarks/100.webapps/130.airline-booking/collect_payment/python/function.py (6)
39-45:
⚠️ Potential issueImplement actual payment processing logic.
The payment processing logic is currently commented out. This needs to be implemented for production use.
Would you like me to help implement the payment processing logic or create a GitHub issue to track this task?
92-93:
⚠️ Potential issueImplement proper payment validation logic.
The
payment_successfulfunction is a placeholder that always returnsTrue. This needs proper implementation to actually validate the payment status.Would you like me to help implement proper payment validation logic or create a GitHub issue to track this task?
20-28:
⚠️ Potential issueUpdate docstring to match actual return value.
The docstring's return value documentation doesn't match the actual return value structure. The function returns
result,fns_triggered, andmeasurementfields instead of the documentedreceiptUrlandprice.Update the docstring to reflect the actual return structure:
Returns ------- dict - receiptUrl: string - receipt URL of charge collected - - price: int - amount collected + result: int + Result code of the operation + fns_triggered: int + Number of functions triggered + measurement: dict + Contains queue_time measurement📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.Returns ------- dict result: int Result code of the operation fns_triggered: int Number of functions triggered measurement: dict Contains queue_time measurement """
3-3:
⚠️ Potential issueConfigure payment endpoint via environment variables.
Hardcoding
payment_endpointas 'dummy' is not suitable for production. The error message on line 37 refers toPAYMENT_API_URL, suggesting it should be configured via environment variables.-payment_endpoint = 'dummy' +payment_endpoint = os.environ.get('PAYMENT_API_URL')Committable suggestion skipped: line range outside the PR's diff.
54-81: 🛠️ Refactor suggestion
Refactor duplicated queue logic and add error handling.
The queue client creation and message sending logic is duplicated. Also, there's no error handling for queue operations which could fail in production.
+def send_queue_message(fname, message): + try: + queue_client = queue.queue( + misc.function_name( + fname=fname, + language='python', + version='3.9', + trigger='queue' + ) + ) + queue_client.send_message(json.dumps(message)) + except Exception as e: + print(f"Failed to send message to queue: {e}") + raise if (payment_successful()): confirm_booking_input = { 'customer_id': event['customer_id'], 'booking_id': event['booking_id'], 'parent_execution_id': event['request-id'] } queue_begin = datetime.datetime.now() - queue_client = queue.queue( - misc.function_name( - fname='confirm_booking', - language='python', - version='3.9', - trigger='queue' - ) - ) - queue_client.send_message(json.dumps(confirm_booking_input)) + send_queue_message('confirm_booking', confirm_booking_input) queue_end = datetime.datetime.now()Committable suggestion skipped: line range outside the PR's diff.
29-31:
⚠️ Potential issueAdd validation for all required fields.
The function only validates
charge_idbut other fields likecustomer_id,booking_id, andoutbound_flight_idare also required for the function to work correctly.if ('charge_id' not in event): raise ValueError('Invalid Charge ID') + required_fields = ['customer_id', 'booking_id', 'outbound_flight_id'] + missing_fields = [field for field in required_fields if field not in event] + if missing_fields: + raise ValueError(f'Missing required fields: {", ".join(missing_fields)}')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if ('charge_id' not in event): raise ValueError('Invalid Charge ID') required_fields = ['customer_id', 'booking_id', 'outbound_flight_id'] missing_fields = [field for field in required_fields if field not in event] if missing_fields: raise ValueError(f'Missing required fields: {", ".join(missing_fields)}')benchmarks/100.webapps/130.airline-booking/reserve_booking/python/function.py (5)
40-41:
⚠️ Potential issueSanitize and validate input event data.
Direct access to event data without proper sanitization could lead to security issues. Consider adding input sanitization.
+def sanitize_input(event): + return {k: str(v).strip() if isinstance(v, str) else v + for k, v in event.items()} def handler(event): + event = sanitize_input(event) if (not is_booking_request_valid(event)): raise ValueError('Invalid booking request')Committable suggestion skipped: line range outside the PR's diff.
59-63:
⚠️ Potential issueAdd error handling for NoSQL operations.
The NoSQL insert operation should include error handling to manage potential failures gracefully.
- nosql_client.insert( - table_name=nosql_table_name, - data=booking_item, - ) + try: + nosql_client.insert( + table_name=nosql_table_name, + data=booking_item, + ) + except Exception as e: + print(f"Failed to insert booking: {str(e)}") + raise ValueError(f"Failed to create booking: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.try: nosql_client.insert( table_name=nosql_table_name, data=booking_item, ) except Exception as e: print(f"Failed to insert booking: {str(e)}") raise ValueError(f"Failed to create booking: {str(e)}")
83-84:
⚠️ Potential issueVerify queue message delivery.
The queue message sending operation should include error handling and delivery confirmation.
- queue_client.send_message(json.dumps(collect_payment_input)) + try: + message_id = queue_client.send_message(json.dumps(collect_payment_input)) + if not message_id: + raise ValueError("Failed to queue payment collection message") + except Exception as e: + print(f"Failed to queue message: {str(e)}") + raise ValueError(f"Failed to initiate payment collection: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.try: message_id = queue_client.send_message(json.dumps(collect_payment_input)) if not message_id: raise ValueError("Failed to queue payment collection message") except Exception as e: print(f"Failed to queue message: {str(e)}") raise ValueError(f"Failed to initiate payment collection: {str(e)}") queue_end = datetime.datetime.now()
75-82: 🛠️ Refactor suggestion
Extract queue configuration to environment variables.
The function name and configuration should be externalized for better maintainability.
+ queue_name = os.getenv('PAYMENT_QUEUE_NAME', 'collect_payment') + runtime_version = os.getenv('RUNTIME_VERSION', '3.9') queue_client = queue.queue( misc.function_name( - fname='collect_payment', + fname=queue_name, language='python', - version='3.9', + version=runtime_version, trigger='queue' ) )Committable suggestion skipped: line range outside the PR's diff.
17-18: 🛠️ Refactor suggestion
Enhance input validation.
The current validation only checks for field presence. Consider adding:
- Type validation for each field
- UUID format validation for IDs
- Empty string checks
def is_booking_request_valid(booking): - return all(x in booking for x in ['outbound_flight_id', 'customer_id', 'charge_id']) + required_fields = { + 'outbound_flight_id': str, + 'customer_id': str, + 'charge_id': str + } + + if not all(x in booking for x in required_fields): + return False + + for field, expected_type in required_fields.items(): + if not isinstance(booking[field], expected_type) or not booking[field].strip(): + return False + + # Validate UUID formats + try: + uuid.UUID(booking['outbound_flight_id']) + uuid.UUID(booking['customer_id']) + return True + except ValueError: + return FalseCommittable suggestion skipped: line range outside the PR's diff.
sebs/aws/queue.py (3)
27-47: 🛠️ Refactor suggestion
Add error handling for boto3 client initialization.
The boto3 client creation could fail if AWS credentials are not properly configured or if there are connectivity issues.
def __init__( self, benchmark: str, queue_type: QueueType, region: str, queue_url: Optional[str] = None, queue_arn: Optional[str] = None ): super().__init__( benchmark, queue_type, region ) self._queue_url = queue_url self._queue_arn = queue_arn + try: self.client = boto3.session.Session().client( 'sqs', region_name=self.region ) + except Exception as e: + self.logging.error(f"Failed to initialize SQS client: {str(e)}") + raiseCommittable suggestion skipped: line range outside the PR's diff.
48-76: 🛠️ Refactor suggestion
Improve queue operations with error handling and configurable timeout.
Two suggestions for improvement:
- The visibility timeout is hardcoded to 540 seconds. Consider making it configurable.
- Add error handling for queue operations.
+ DEFAULT_VISIBILITY_TIMEOUT = "540" + def create_queue(self) -> str: self.logging.debug(f"Creating queue {self.name}") if (self._queue_url and self._queue_arn): self.logging.debug("Queue already exists, reusing...") return - self._queue_url = self.client.create_queue( - QueueName=self.name, - Attributes={ - # This currently works well in all cases - however it could be - # beneficial to adjust it based on the function's timeout. - "VisibilityTimeout": "540" - } - )["QueueUrl"] + try: + self._queue_url = self.client.create_queue( + QueueName=self.name, + Attributes={ + "VisibilityTimeout": self.DEFAULT_VISIBILITY_TIMEOUT + } + )["QueueUrl"] + except Exception as e: + self.logging.error(f"Failed to create queue: {str(e)}") + raise self._queue_arn = self.client.get_queue_attributes( QueueUrl=self.queue_url, AttributeNames=["QueueArn"], )["Attributes"]["QueueArn"] def remove_queue(self): self.logging.info(f"Deleting queue {self.name}") + try: self.client.delete_queue(QueueUrl=self.queue_url) + except Exception as e: + self.logging.error(f"Failed to delete queue: {str(e)}") + raise📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.DEFAULT_VISIBILITY_TIMEOUT = "540" def create_queue(self) -> str: self.logging.debug(f"Creating queue {self.name}") if (self._queue_url and self._queue_arn): self.logging.debug("Queue already exists, reusing...") return try: self._queue_url = self.client.create_queue( QueueName=self.name, Attributes={ "VisibilityTimeout": self.DEFAULT_VISIBILITY_TIMEOUT } )["QueueUrl"] except Exception as e: self.logging.error(f"Failed to create queue: {str(e)}") raise self._queue_arn = self.client.get_queue_attributes( QueueUrl=self.queue_url, AttributeNames=["QueueArn"], )["Attributes"]["QueueArn"] self.logging.debug("Created queue") def remove_queue(self): self.logging.info(f"Deleting queue {self.name}") try: self.client.delete_queue(QueueUrl=self.queue_url) except Exception as e: self.logging.error(f"Failed to delete queue: {str(e)}") raise self.logging.info("Deleted queue")
77-109: 🛠️ Refactor suggestion
Enhance message operations with error handling and type hints.
The message operations need error handling and could benefit from better type hints.
- def send_message(self, serialized_message: str): + def send_message(self, serialized_message: str) -> None: + try: self.client.send_message( QueueUrl=self.queue_url, MessageBody=serialized_message, ) self.logging.info(f"Sent message to queue {self.name}") + except Exception as e: + self.logging.error(f"Failed to send message: {str(e)}") + raise def receive_message(self) -> str: self.logging.info(f"Pulling a message from {self.name}") + try: response = self.client.receive_message( QueueUrl=self.queue_url, AttributeNames=["SentTimestamp"], MaxNumberOfMessages=1, MessageAttributeNames=["All"], WaitTimeSeconds=5, ) if ("Messages" not in response): self.logging.info("No messages to be received") return "" self.logging.info(f"Received a message from {self.name}") # Delete the message from the queue - serves as an acknowledgement # that it was received. self.client.delete_message( QueueUrl=self.queue_url, ReceiptHandle=response["Messages"][0]["ReceiptHandle"], ) return response["Messages"][0]["Body"] + except Exception as e: + self.logging.error(f"Failed to receive/process message: {str(e)}") + raise📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def send_message(self, serialized_message: str) -> None: try: self.client.send_message( QueueUrl=self.queue_url, MessageBody=serialized_message, ) self.logging.info(f"Sent message to queue {self.name}") except Exception as e: self.logging.error(f"Failed to send message: {str(e)}") raise def receive_message(self) -> str: self.logging.info(f"Pulling a message from {self.name}") try: response = self.client.receive_message( QueueUrl=self.queue_url, AttributeNames=["SentTimestamp"], MaxNumberOfMessages=1, MessageAttributeNames=["All"], WaitTimeSeconds=5, ) if ("Messages" not in response): self.logging.info("No messages to be received") return "" self.logging.info(f"Received a message from {self.name}") # Delete the message from the queue - serves as an acknowledgement # that it was received. self.client.delete_message( QueueUrl=self.queue_url, ReceiptHandle=response["Messages"][0]["ReceiptHandle"], ) return response["Messages"][0]["Body"] except Exception as e: self.logging.error(f"Failed to receive/process message: {str(e)}") raisebenchmarks/wrappers/aws/python/handler.py (4)
16-21:
⚠️ Potential issueAdd error handling for SQS message parsing.
The JSON parsing of the SQS message body could fail if the message is malformed.
if ("Records" in event and event["Records"][0]["eventSource"] == 'aws:sqs'): + try: event = json.loads(event["Records"][0]["body"]) + except json.JSONDecodeError as e: + return { + 'statusCode': 400, + 'body': json.dumps({'error': f'Invalid message format: {str(e)}'}) + } return_http = False📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# Queue trigger if ("Records" in event and event["Records"][0]["eventSource"] == 'aws:sqs'): try: event = json.loads(event["Records"][0]["body"]) except json.JSONDecodeError as e: return { 'statusCode': 400, 'body': json.dumps({'error': f'Invalid message format: {str(e)}'}) } return_http = False
112-116:
⚠️ Potential issueAdd validation for ARN format.
The function assumes the ARN will always have the expected format. Consider adding validation to handle malformed ARNs gracefully.
def populate_env_vars(context): - arn = context.invoked_function_arn.split(":") + try: + arn = context.invoked_function_arn.split(":") + if len(arn) < 5: + raise ValueError(f"Invalid ARN format: {context.invoked_function_arn}") - os.environ['REGION'] = arn[3] - os.environ['ACCOUNT_ID'] = arn[4] + os.environ['REGION'] = arn[3] + os.environ['ACCOUNT_ID'] = arn[4] + except Exception as e: + print(f"Warning: Failed to populate environment variables: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def populate_env_vars(context): try: arn = context.invoked_function_arn.split(":") if len(arn) < 5: raise ValueError(f"Invalid ARN format: {context.invoked_function_arn}") os.environ['REGION'] = arn[3] os.environ['ACCOUNT_ID'] = arn[4] except Exception as e: print(f"Warning: Failed to populate environment variables: {str(e)}")
97-111:
⚠️ Potential issueAdd error handling for queue operations.
The queue client creation and message sending could fail. Also, consider validating the queue URL/name format.
else: # Queue trigger, storage trigger, or application: write to a queue. + if not result_queue.startswith('https://') and not result_queue.endswith('.fifo'): + return { + 'statusCode': 500, + 'body': json.dumps({'error': 'Invalid queue URL format'}) + } + + try: from function import queue queue_client = queue.queue(result_queue) queue_client.send_message(stats) + except Exception as e: + return { + 'statusCode': 500, + 'body': json.dumps({'error': f'Failed to send to queue: {str(e)}'}) + } + finally: + if 'queue_client' in locals(): + queue_client.close()Committable suggestion skipped: line range outside the PR's diff.
22-34:
⚠️ Potential issueAdd validation and error handling for S3 trigger.
The S3 trigger handler needs validation of object keys and error handling for object retrieval.
if ("Records" in event and "s3" in event["Records"][0]): + try: + s3_record = event["Records"][0]["s3"] + if "bucket" not in s3_record or "name" not in s3_record["bucket"] or \ + "object" not in s3_record or "key" not in s3_record["object"]: + raise KeyError("Missing required S3 event fields") + bucket_name = event["Records"][0]["s3"]["bucket"]["name"] file_name = event["Records"][0]["s3"]["object"]["key"] from function import storage storage_inst = storage.storage.get_instance() obj = storage_inst.get_object(bucket_name, file_name) event = json.loads(obj) + except (KeyError, json.JSONDecodeError) as e: + return { + 'statusCode': 400, + 'body': json.dumps({'error': f'Invalid S3 event: {str(e)}'}) + } + except Exception as e: + return { + 'statusCode': 500, + 'body': json.dumps({'error': f'Failed to process S3 object: {str(e)}'}) + } return_http = False📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.# Storage trigger if ("Records" in event and "s3" in event["Records"][0]): try: s3_record = event["Records"][0]["s3"] if "bucket" not in s3_record or "name" not in s3_record["bucket"] or \ "object" not in s3_record or "key" not in s3_record["object"]: raise KeyError("Missing required S3 event fields") bucket_name = event["Records"][0]["s3"]["bucket"]["name"] file_name = event["Records"][0]["s3"]["object"]["key"] from function import storage storage_inst = storage.storage.get_instance() obj = storage_inst.get_object(bucket_name, file_name) event = json.loads(obj) except (KeyError, json.JSONDecodeError) as e: return { 'statusCode': 400, 'body': json.dumps({'error': f'Invalid S3 event: {str(e)}'}) } except Exception as e: return { 'statusCode': 500, 'body': json.dumps({'error': f'Failed to process S3 object: {str(e)}'}) } return_http = Falsebenchmarks/wrappers/gcp/python/handler.py (4)
131-133: 🛠️ Refactor suggestion
Add error handling to environment setup.
The
populate_env_varsfunction should handle potential credential access failures.def populate_env_vars(): - _, project_id = default() - os.environ['ACCOUNT_ID'] = project_id + try: + _, project_id = default() + if not project_id: + raise ValueError("Failed to obtain project ID") + os.environ['ACCOUNT_ID'] = project_id + except Exception as e: + raise RuntimeError(f"Failed to setup environment variables: {str(e)}")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def populate_env_vars(): try: _, project_id = default() if not project_id: raise ValueError("Failed to obtain project ID") os.environ['ACCOUNT_ID'] = project_id except Exception as e: raise RuntimeError(f"Failed to setup environment variables: {str(e)}")
18-38: 🛠️ Refactor suggestion
Improve error handling and imports in the queue handler.
Several improvements are needed:
- Add error handling for base64 decoding and JSON parsing
- Move the queue module import to the top level
- Validate environment variables
+from function import queue + def handler_queue(data, context): try: income_timestamp = datetime.datetime.now().timestamp() populate_env_vars() serialized_payload = data.get('data') + if not serialized_payload: + raise ValueError("Missing payload data") + payload = json.loads(base64.b64decode(serialized_payload).decode("utf-8")) payload['request-id'] = context.event_id payload['income-timestamp'] = income_timestamp stats = measure(payload) # Send the results onwards. result_queue = os.getenv('RESULT_QUEUE') if (result_queue): - from function import queue queue_client = queue.queue(result_queue) queue_client.send_message(stats) + return stats + except Exception as e: + error_payload = { + 'error': str(e), + 'request_id': context.event_id if context else 'unknown' + } + return json.dumps(error_payload)Committable suggestion skipped: line range outside the PR's diff.
8-16: 🛠️ Refactor suggestion
Add error handling to the HTTP handler.
The function should handle potential exceptions when parsing JSON or performing measurements. Also, consider making the status code dynamic based on the execution result.
def handler_http(req): + try: income_timestamp = datetime.datetime.now().timestamp() req_id = req.headers.get('Function-Execution-Id') req_json = req.get_json() req_json['request-id'] = req_id req_json['income-timestamp'] = income_timestamp - return measure(req_json), 200, {'ContentType': 'application/json'} + result = measure(req_json) + return result, 200, {'ContentType': 'application/json'} + except Exception as e: + return json.dumps({'error': str(e)}), 500, {'ContentType': 'application/json'}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler_http(req): try: income_timestamp = datetime.datetime.now().timestamp() req_id = req.headers.get('Function-Execution-Id') req_json = req.get_json() req_json['request-id'] = req_id req_json['income-timestamp'] = income_timestamp result = measure(req_json) return result, 200, {'ContentType': 'application/json'} except Exception as e: return json.dumps({'error': str(e)}), 500, {'ContentType': 'application/json'}
39-69: 🛠️ Refactor suggestion
Improve storage handler's file handling and error management.
The storage handler needs several improvements:
- Use context manager for file operations
- Clean up temporary files
- Add proper error handling
- Move imports to top level
+from function import storage, queue + def handler_storage(data, context): + filepath = None + try: income_timestamp = datetime.datetime.now().timestamp() populate_env_vars() bucket_name = data.get('bucket') name = data.get('name') filepath = '/tmp/bucket_contents' - from function import storage storage_inst = storage.storage.get_instance() storage_inst.download(bucket_name, name, filepath) payload = {} with open(filepath, 'r') as fp: payload = json.load(fp) payload['request-id'] = context.event_id payload['income-timestamp'] = income_timestamp stats = measure(payload) result_queue = os.getenv('RESULT_QUEUE') if (result_queue): - from function import queue queue_client = queue.queue(result_queue) queue_client.send_message(stats) + return stats + except Exception as e: + error_payload = { + 'error': str(e), + 'request_id': context.event_id if context else 'unknown' + } + return json.dumps(error_payload) + finally: + if filepath and os.path.exists(filepath): + os.remove(filepath)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.from function import storage, queue def handler_storage(data, context): filepath = None try: income_timestamp = datetime.datetime.now().timestamp() populate_env_vars() bucket_name = data.get('bucket') name = data.get('name') filepath = '/tmp/bucket_contents' storage_inst = storage.storage.get_instance() storage_inst.download(bucket_name, name, filepath) payload = {} with open(filepath, 'r') as fp: payload = json.load(fp) payload['request-id'] = context.event_id payload['income-timestamp'] = income_timestamp stats = measure(payload) result_queue = os.getenv('RESULT_QUEUE') if (result_queue): queue_client = queue.queue(result_queue) queue_client.send_message(stats) return stats except Exception as e: error_payload = { 'error': str(e), 'request_id': context.event_id if context else 'unknown' } return json.dumps(error_payload) finally: if filepath and os.path.exists(filepath): os.remove(filepath)benchmarks/wrappers/azure/python/handler.py (2)
46-68: 🛠️ Refactor suggestion
⚠️ Potential issueAdd error handling and fix potential data loss.
- The function only reads the first line of the blob, which could lead to data loss
- Missing error handling for JSON parsing
- Significant code duplication with queue handler
- payload = json.loads(blob.readline().decode('utf-8')) + try: + content = blob.read().decode('utf-8') + payload = json.loads(content) + except (ValueError, UnicodeDecodeError) as e: + logging.error(f"Failed to process blob: {e}") + returnConsider extracting the common result handling logic into a separate function:
def send_result_to_queue(stats: str) -> None: result_queue = os.getenv('RESULT_QUEUE') storage_account = os.getenv('DATA_STORAGE_ACCOUNT') if (result_queue and storage_account): from . import queue queue_client = queue.queue(result_queue) queue_client.send_message(stats)
24-45: 🛠️ Refactor suggestion
Add error handling and consider code reuse.
- Add error handling for JSON parsing
- Consider extracting common result handling logic shared with the storage handler
def handler_queue(msg: func.QueueMessage, context: func.Context): income_timestamp = datetime.datetime.now().timestamp() populate_env_vars() - payload = msg.get_json() + try: + payload = msg.get_json() + except ValueError as e: + logging.error(f"Failed to parse message as JSON: {e}") + return payload['request-id'] = context.invocation_id payload['income-timestamp'] = income_timestamp📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler_queue(msg: func.QueueMessage, context: func.Context): income_timestamp = datetime.datetime.now().timestamp() populate_env_vars() try: payload = msg.get_json() except ValueError as e: logging.error(f"Failed to parse message as JSON: {e}") return payload['request-id'] = context.invocation_id payload['income-timestamp'] = income_timestamp stats = measure(payload) # Send the results onwards. result_queue = os.getenv('RESULT_QUEUE') storage_account = os.getenv('DATA_STORAGE_ACCOUNT') if (result_queue and storage_account): from . import queue queue_client = queue.queue(result_queue) queue_client.send_message(stats)sebs/azure/triggers.py (2)
1-16: 🛠️ Refactor suggestion
Remove unused imports
The following imports are not used in the code:
timefrom line 5QueueClientfrom line 11-import time -from azure.storage.queue import QueueClient📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import base64 import concurrent.futures import datetime import json from typing import Any, Dict, Optional # noqa from azure.core.exceptions import ResourceExistsError from azure.identity import DefaultAzureCredential from azure.storage.blob import BlobServiceClient from sebs.azure.config import AzureResources from sebs.azure.queue import AzureQueue from sebs.faas.function import ExecutionResult, Trigger from sebs.faas.queue import QueueType🧰 Tools
🪛 Ruff
5-5:
timeimported but unusedRemove unused import:
time(F401)
11-11:
azure.storage.queue.QueueClientimported but unusedRemove unused import:
azure.storage.queue.QueueClient(F401)
310-312: 🛠️ Refactor suggestion
Use temporary file management for payload
The current implementation creates a file named "payload.json" in the current directory without proper cleanup. This could lead to file system clutter and potential conflicts in concurrent executions.
Consider using
tempfilemodule for safer file handling:-file_name = "payload.json" -with open(file_name, "w") as fp: - json.dump(payload, fp) +import tempfile + +with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as temp_file: + json.dump(payload, temp_file) + file_name = temp_file.nameThen after the upload:
blob_client.upload_blob(payload_data, overwrite=True) +import os +os.unlink(file_name) # Clean up the temporary file self.logging.info(f"Uploaded payload to container {self.container_name}")Committable suggestion skipped: line range outside the PR's diff.
sebs/aws/triggers.py (2)
347-391:
⚠️ Potential issueAdd resource cleanup and improve bucket creation robustness
The bucket creation process needs improvement in several areas:
- No cleanup mechanism for created resources
- Potential race conditions in bucket creation
- No error handling for permission setup
Consider implementing a cleanup method and adding proper error handling:
def cleanup(self): """Cleanup created resources""" try: s3 = boto3.resource("s3") bucket = s3.Bucket(self.bucket_name) bucket.objects.all().delete() bucket.delete() except Exception as e: self.logging.error(f"Failed to cleanup bucket: {e}")Also, add proper error handling for bucket creation:
- s3.create_bucket( - Bucket=self.bucket_name, - CreateBucketConfiguration={"LocationConstraint": region}, - ) + try: + s3.create_bucket( + Bucket=self.bucket_name, + CreateBucketConfiguration={"LocationConstraint": region}, + ) + # Wait for bucket to be available + s3.meta.client.get_waiter('bucket_exists').wait(Bucket=self.bucket_name) + except Exception as e: + self.logging.error(f"Failed to create bucket: {e}") + raise
223-244: 🛠️ Refactor suggestion
Add error handling and make queue configuration configurable
The queue initialization lacks error handling and uses hard-coded values for batch size and window.
if (not self._queue): self._queue = SQS( self.name, QueueType.TRIGGER, self.deployment_client.config.region ) - self.queue.create_queue() + try: + self.queue.create_queue() + except Exception as e: + self.logging.error(f"Failed to create queue: {e}") + raise # Add queue trigger lambda_client = self.deployment_client.get_lambda_client() if not len( lambda_client.list_event_source_mappings( EventSourceArn=self.queue.queue_arn, FunctionName=self.name )["EventSourceMappings"] ): + batch_size = self.deployment_client.config.get("queue_batch_size", 1) + batch_window = self.deployment_client.config.get("queue_batch_window", 1) lambda_client.create_event_source_mapping( EventSourceArn=self.queue.queue_arn, FunctionName=self.name, Enabled=True, - BatchSize=1, - MaximumBatchingWindowInSeconds=1, + BatchSize=batch_size, + MaximumBatchingWindowInSeconds=batch_window, )📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (not self._queue): self._queue = SQS( self.name, QueueType.TRIGGER, self.deployment_client.config.region ) try: self.queue.create_queue() except Exception as e: self.logging.error(f"Failed to create queue: {e}") raise # Add queue trigger lambda_client = self.deployment_client.get_lambda_client() if not len( lambda_client.list_event_source_mappings( EventSourceArn=self.queue.queue_arn, FunctionName=self.name )["EventSourceMappings"] ): batch_size = self.deployment_client.config.get("queue_batch_size", 1) batch_window = self.deployment_client.config.get("queue_batch_window", 1) lambda_client.create_event_source_mapping( EventSourceArn=self.queue.queue_arn, FunctionName=self.name, Enabled=True, BatchSize=batch_size, MaximumBatchingWindowInSeconds=batch_window, )sebs/aws/aws.py (1)
137-137: 💡 Codebase verification
The
triggerparameter is unused in the function implementationThe
package_codefunction accepts atriggerparameter but doesn't use it in its implementation. The function only:
- Creates a function directory
- Moves files based on language configuration
- Creates a zip archive
- Returns the archive path and size
Since the parameter doesn't influence the packaging process, it should be removed to avoid confusion.
🔗 Analysis chain
Verify the usage of the
triggerparameter.The
triggerparameter has been added but appears to be unused in the function body. Please verify if this parameter should influence the packaging process.
Let me gather more information about the
package_codefunction and its usage of thetriggerparameter.
Let me check how this function is used and if there are any trigger-specific packaging requirements.
Let me check the complete implementation of this function to see if the
triggerparameter is used later in the function body.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for usage of the trigger parameter in packaging logic rg -l "def package_code" | xargs rg "trigger.*package"Length of output: 4105
Script:
#!/bin/bash # Search for the package_code function implementation and its context rg -A 20 "def package_code" sebs/aws/aws.pyLength of output: 813
Script:
#!/bin/bash # Search for calls to package_code to understand how the trigger parameter is used rg -B 5 -A 5 "package_code\(" sebs/aws/Length of output: 423
Script:
#!/bin/bash # Get the complete implementation of package_code function rg -A 50 "def package_code" sebs/aws/aws.pyLength of output: 2147
sebs/azure/azure.py (2)
708-716:
⚠️ Potential issueFix undefined variable 'url' in HTTPTrigger creation.
The
urlvariable used in HTTPTrigger creation is undefined, which will cause a runtime error.if trigger_type == Trigger.TriggerType.HTTP: + url = self.publish_function(function, code_package, True) trigger = HTTPTrigger( function.name, url=url, storage_account=data_storage_account, application_name=function.application_name, )Committable suggestion skipped: line range outside the PR's diff.
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712-712: Undefined name
url(F821)
617-741: 🛠️ Refactor suggestion
Refactor create_trigger method to reduce complexity.
The method is too long and handles multiple responsibilities. Consider:
- Extracting role assignment logic to separate methods
- Using a factory pattern for trigger creation
+ def _assign_storage_role(self, principal_id: str, role: str, scope: str): + self.cli_instance.execute( + 'az role assignment create --assignee "{}" --role "{}" --scope {}' + .format(principal_id, role, scope) + ) + def _create_trigger_instance(self, trigger_type: Trigger.TriggerType, **kwargs) -> Trigger: + trigger_map = { + Trigger.TriggerType.HTTP: HTTPTrigger, + Trigger.TriggerType.QUEUE: QueueTrigger, + Trigger.TriggerType.STORAGE: StorageTrigger + } + trigger_class = trigger_map.get(trigger_type) + if not trigger_class: + raise RuntimeError(f"Unsupported trigger type: {trigger_type}") + return trigger_class(**kwargs)Committable suggestion skipped: line range outside the PR's diff.
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624-624: Local variable
azure_functionis assigned to but never usedRemove assignment to unused variable
azure_function(F841)
712-712: Undefined name
url(F821)
benchmarks/400.inference/430.feature-gen/reducer/python/function.py (4)
32-32:
⚠️ Potential issueHandle cases where there is no data to process
If
resultis empty,TfidfVectorizer().fit(result)will raise an exception. Consider adding a check to handle cases where there is no data to process.Apply this code change to handle empty data:
if not result: # Handle the case when there is no data return { 'result': -1, 'error': 'No data to process', 'measurement': { 'list_time': list_time, 'preprocess_time': preprocess_time, 'delete_time': delete_time, 'process_time': 0, 'upload_time': 0 } }
9-60: 🛠️ Refactor suggestion
Add exception handling for external calls
The function lacks exception handling for external calls such as
client.list_objects,client.get_object,client.delete_object, andclient.upload_stream. Consider adding try-except blocks to handle potential exceptions and ensure the function is robust against failures.
33-34: 🛠️ Refactor suggestion
Simplify feature string creation without manipulating string representations
Instead of converting the feature names array to a string and manipulating it to remove brackets and spaces, you can join the feature names directly into a comma-separated string.
Apply this diff to simplify the code:
- feature = str(tfidf_vect.get_feature_names_out()) - feature = feature.lstrip('[').rstrip(']').replace(' ' , '') + feature = ','.join(tfidf_vect.get_feature_names_out())📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.feature = ','.join(tfidf_vect.get_feature_names_out())
19-22:
⚠️ Potential issueHandle potential decoding issues when retrieving object content
Ensure that the object content retrieved by
client.get_object(bucket, obj)is correctly decoded. If the content is in bytes, consider decoding it using the appropriate encoding (e.g., UTF-8) before processing.Apply this diff to decode the object content properly:
- body = str(client.get_object(bucket, obj)) + body = client.get_object(bucket, obj).decode('utf-8')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.body = client.get_object(bucket, obj).decode('utf-8') word = body.replace("'", '').split(',') result.extend(word)benchmarks/400.inference/430.feature-gen/extractor/python/function.py (1)
10-10:
⚠️ Potential issueCorrect the
sys.path.appendstatements with absolute paths.Using
os.path.joinwith an absolute path ('/tmp/...') ignores the preceding arguments. Therefore, theos.path.joinis unnecessary and can be simplified:- sys.path.append(os.path.join(os.path.dirname(__file__), '/tmp/.python_packages/lib/site-packages/')) + sys.path.append('/tmp/.python_packages/lib/site-packages/')This ensures the path is correctly added to
sys.path.Also applies to: 14-14
benchmarks/400.inference/420.prediction-reviews/prediction/python/function.py (8)
23-23: 🛠️ Refactor suggestion
Remove unused import
LogisticRegressionThe import
LogisticRegressionfromsklearn.linear_modelis not used and can be removed.Apply this diff:
-from sklearn.linear_model import LogisticRegression📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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23-23:
sklearn.linear_model.LogisticRegressionimported but unusedRemove unused import:
sklearn.linear_model.LogisticRegression(F401)
5-5: 🛠️ Refactor suggestion
Remove unused import
queueThe import
queuefrom the current package is not used and can be removed to clean up the imports.Apply this diff:
-from . import queue📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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5-5:
.queueimported but unusedRemove unused import:
.queue(F401)
3-3: 🛠️ Refactor suggestion
Remove unused import
timeThe import
timefrom thetimemodule is not used and can be removed.Apply this diff:
-from time import time📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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3-3:
time.timeimported but unusedRemove unused import:
time.time(F401)
1-1: 🛠️ Refactor suggestion
Remove unused import
ioThe import
ioon line 1 is not used in the code and can be safely removed to clean up the imports.Apply this diff to remove the unused import:
-import datetime, io, joblib, os, re, sys, zipfile +import datetime, joblib, os, re, sys, zipfile📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import datetime, joblib, os, re, sys, zipfile🧰 Tools
🪛 Ruff
1-1:
ioimported but unusedRemove unused import:
io(F401)
20-20: 🛠️ Refactor suggestion
Remove unused import
versionfromimportlib.metadataThe import
versionis not used and can be removed.Apply this diff:
-from importlib.metadata import version📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.🧰 Tools
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20-20:
importlib.metadata.versionimported but unusedRemove unused import:
importlib.metadata.version(F401)
16-16:
⚠️ Potential issueCorrect the
sys.pathupdate to include extracted packagesSame issue as above: adjust the
sys.path.appendto use the absolute path directly.Apply this diff:
- sys.path.append(os.path.join(os.path.dirname(__file__), '/tmp/.python_packages/lib/site-packages/')) + sys.path.append('/tmp/.python_packages/lib/site-packages/')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.sys.path.append('/tmp/.python_packages/lib/site-packages/')
12-12:
⚠️ Potential issueCorrect the
sys.pathupdate to include extracted packagesUsing
os.path.joinwith an absolute path ('/tmp/...) may not work as intended becauseos.path.joinignores preceding path components when the second argument is absolute. To fix this, use the absolute path directly in thesys.path.appendcall.Apply this diff:
- sys.path.append(os.path.join(os.path.dirname(__file__), '/tmp/.python_packages/lib/site-packages/')) + sys.path.append('/tmp/.python_packages/lib/site-packages/')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.sys.path.append('/tmp/.python_packages/lib/site-packages/')
64-64:
⚠️ Potential issueInclude prediction result
yin the returned responseThe prediction result
yis computed but not used. Consider includingyin the returned response so that the prediction is available to the caller.Apply this diff to include the prediction result:
return { - 'result': 0, + 'result': y.tolist(), 'measurement': {Note:
.tolist()converts the NumPy array to a list for JSON serialization.Committable suggestion skipped: line range outside the PR's diff.
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64-64: Local variable
yis assigned to but never usedRemove assignment to unused variable
y(F841)
benchmarks/500.scientific/505.map-reduce/sorter/python/function.py (2)
36-36:
⚠️ Potential issueUndefined variable
fn_nameused inclient.get_object.The variable
fn_nameis not defined before it's used inclient.get_object(fn_name, obj). This will cause aNameErrorat runtime.To fix this issue, define
fn_namebefore using it. It seemsfn_nameis defined later at line 82. If the intention is to use the same function name as in thelist_objectscall at lines 13-20, you can definefn_nameafter thelist_objectscall:fn_name = misc.function_name( fname='sorter', language='python', version='3.9', trigger='storage' )Insert this definition before line 36.
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36-36: Undefined name
fn_name(F821)
46-55:
⚠️ Potential issueHandle empty
word_listto preventIndexError.The code assumes that
word_listis not empty when accessingword_list[0]. Ifword_listis empty, this will raise anIndexError.Add a check to handle the case when
word_listis empty:if not word_list: return { 'result': 0, 'error': 'No words to process', 'measurement': { 'list_time': list_time } } current = [word_list[0]]benchmarks/400.inference/420.prediction-reviews/training/python/function.py (4)
33-36:
⚠️ Potential issueAdd error handling for missing keys in the
eventdictionary.Accessing keys directly from
eventwithout checks can lead toKeyErrorexceptions if keys are missing.Consider adding default values or raising a custom exception:
try: bucket = event['bucket']['name'] bucket_path = event['bucket']['path'] dataset_key = event['dataset']['key'] model_key = event['model']['key'] except KeyError as e: raise KeyError(f"Missing required key in event data: {e}")
50-51:
⚠️ Potential issueCheck for required DataFrame columns before processing.
The code assumes the DataFrame
dfcontains 'Text' and 'Score' columns. If these columns are missing, it will raise aKeyError.Add a check to ensure columns exist:
required_columns = {'Text', 'Score'} if not required_columns.issubset(df.columns): raise ValueError(f"DataFrame is missing required columns: {required_columns - set(df.columns)}")
67-72:
⚠️ Potential issueValidate event data before constructing
prediction_input.Directly accessing
event['input']andevent['request-id']without validation can cause exceptions if they are missing.Add validation for these keys:
if 'input' not in event or 'request-id' not in event: raise KeyError("Event data missing 'input' or 'request-id' keys.") prediction_input['input'] = event['input'] prediction_input['parent_execution_id'] = event['request-id']
32-99: 🛠️ Refactor suggestion
Implement error handling for critical operations in the handler function.
The handler performs several external operations that may fail (e.g., downloading data, reading CSV, training the model). Without error handling, the function may crash silently.
Wrap critical operations with try-except blocks:
try: dataset = client.get_object(bucket, dataset_path) except Exception as e: raise RuntimeError(f"Failed to download dataset: {e}") try: df = pd.read_csv(io.BytesIO(dataset)) except Exception as e: raise RuntimeError(f"Failed to read CSV data: {e}") # Repeat for other critical operations like model training, uploading, and messagingbenchmarks/400.inference/430.feature-gen/orchestrator/python/function.py (3)
21-23:
⚠️ Potential issueAdd error handling for missing event keys to prevent runtime exceptions
Accessing nested keys in the
eventdictionary without verification can lead toKeyErrorexceptions if the expected keys are missing. Consider adding checks or using thegetmethod with default values to enhance robustness.Apply this diff to improve error handling:
def handler(event): - bucket = event['bucket']['name'] + bucket = event.get('bucket', {}).get('name') + if bucket is None: + # Handle the missing bucket name appropriately + return {'error': 'Bucket name is missing in the event data'}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.def handler(event): bucket = event.get('bucket', {}).get('name') if bucket is None: # Handle the missing bucket name appropriately return {'error': 'Bucket name is missing in the event data'}
50-52:
⚠️ Potential issueValidate event data before processing to prevent exceptions
Accessing
event['bucket']['path'],event['object']['key'], andevent['extractors']without checks may cause exceptions if these keys are missing or have invalid values. Validate the event data before using it.Apply this diff to add validation:
bucket_path = event.get('bucket', {}).get('path') dataset_key = event.get('object', {}).get('key') extractors = event.get('extractors') + if not all([bucket_path, dataset_key, extractors]): + # Handle the missing data appropriately + return {'error': 'Required event data is missing'} + try: + extractors = int(extractors) + except ValueError: + # Handle the invalid extractors value + return {'error': 'Invalid extractors value in event data'}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.bucket_path = event.get('bucket', {}).get('path') dataset_key = event.get('object', {}).get('key') extractors = event.get('extractors') if not all([bucket_path, dataset_key, extractors]): # Handle the missing data appropriately return {'error': 'Required event data is missing'} try: extractors = int(extractors) except ValueError: # Handle the invalid extractors value return {'error': 'Invalid extractors value in event data'}
81-81: 🛠️ Refactor suggestion
Optimize data transfer by referencing data instead of embedding
Embedding the entire shard data as JSON in the
extractor_input['input']may lead to large message sizes, impacting performance. Consider uploading the shard data to storage and including a reference to it in the message.Here's how you might modify the code:
extractor_input = {'object': {}, 'output_bucket': {}} extractor_input['object']['key'] = key extractor_input['output_bucket']['name'] = bucket - extractor_input['input'] = shard.to_json() + # Upload shard data to a separate key + shard_key = f'shard-data-{uuid.uuid4()}.csv' + shard_data = shard.to_csv(index=False) + client.upload_stream(bucket, shard_key, io.BytesIO(shard_data.encode('utf-8')), True) + extractor_input['input_key'] = shard_key extractor_input['parent_execution_id'] = event['request-id']This way, the shard data is stored in the bucket, and the message contains a reference (
input_key) to the data.Committable suggestion skipped: line range outside the PR's diff.
sebs/gcp/triggers.py (3)
36-42:
⚠️ Potential issueEnsure
regionattribute is defined before use.In the result queue initialization,
self.regionis used, butregionis not set in the__init__methods ofLibraryTriggerandHTTPTrigger. This could result in anAttributeError.Ensure that
self.regionis properly initialized in all trigger classes. For example, addregionas a parameter and set it:def __init__( self, fname: str, application_name: Optional[str] = None, + region: str = "default-region", result_queue: Optional[GCPQueue] = None, with_result_queue: Optional[bool] = False ): super().__init__() self.name = fname self._deployment_client = deployment_client self._result_queue = result_queue self.with_result_queue = with_result_queue + self.region = regionUpdate the calls to include the
regionparameter.Also applies to: 143-149, 212-219, 319-326
31-33: 🛠️ Refactor suggestion
Consider initializing
with_result_queuebefore using it.In the
__init__methods,with_result_queueis set after it's used in the result queue initialization. This might lead to unexpected behavior ifwith_result_queueis used before it's assigned.Reorder the assignments to set
with_result_queuebefore it's used:self.with_result_queue = with_result_queue # Create result queue if self.with_result_queue and not self._result_queue: # Initialization codeAlso applies to: 138-140, 207-209, 314-316
356-357:
⚠️ Potential issueCorrect the bucket reference in
StorageTrigger.In
StorageTrigger.sync_invoke, the bucket instance is created usingself.name, but the bucket name is stored inself._bucket_name. This could lead to using an incorrect bucket.Apply this diff to use the correct bucket name:
-bucket_instance = client.bucket(self.name) +bucket_instance = client.bucket(self.bucket_name)Committable suggestion skipped: line range outside the PR's diff.
Summary by CodeRabbit
New Features
queueclass for AWS SQS interactions.storageclass methods for file upload, retrieval, and listing in S3.queueclass for Azure Queue Storage interactions.GCPQueueclass for Google Cloud Pub/Sub management.Bug Fixes
Documentation
Chores