Feat: Implement Targeted Error Handling For Apify Integration

by ADMIN 62 views

Overview

As we continue to develop the Apify integration, it's essential to address the specific challenges of working with external APIs without creating a complex, comprehensive framework. This issue proposes implementing lightweight, targeted error handling specifically for the Apify integration components. By focusing on the unique needs of the Apify integration, we can create a more practical, focused, and immediate solution that improves monitoring and debugging capabilities.

Background

We're currently prioritizing the Dependency Injection (DI) system and Apify integration. While comprehensive error handling is valuable, we can address immediate needs with a more targeted approach. The proposed solution will be implemented alongside the Apify integration components, ensuring a seamless and efficient integration process.

Proposed Solution

1. Create Minimal Error Types for Apify Operations

To effectively handle errors in the Apify integration, we need to define specific error types that capture the context of each operation. The proposed error types are:

  • ApifyError: Base class with context preservation
  • ApifyAuthError: For authentication/authorization issues
  • ApifyRateLimitError: For rate limiting
  • ApifyDataProcessingError: For data processing failures
  • ApifyNetworkError: For connection issues

These error types will provide a clear and structured way to handle errors in the Apify integration, making it easier to diagnose and resolve issues.

2. Implement Utility Functions/Decorators

To standardize Apify error handling, we'll implement utility functions and decorators that can be used throughout the integration. The proposed decorator, with_apify_error_handling, will be used to wrap operations that require Apify error handling.

def with_apify_error_handling(operation_name):
    """Decorator to standardize Apify error handling."""
    def decorator(func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            try:
                return func(*args, **kwargs)
            except apify_client.ApifyClientError as e:
                # Transform to appropriate error type
            except Exception as e:
                # Handle unexpected errors
        return wrapper
    return decorator

This decorator will provide a consistent way to handle Apify errors, making it easier to maintain and debug the integration.

3. Add Consistent Logging

To improve monitoring and debugging capabilities, we'll implement consistent logging for errors. This will include:

  • Error context capturing: We'll capture relevant information about each error, such as the operation being performed and the error message.
  • Structured logging for errors: We'll use a structured logging format to make it easier to parse and analyze error logs.
  • Correlation IDs for traceability: We'll use correlation IDs to track the flow of requests and responses, making it easier to diagnose issues.

4. Implement Retry Logic Where Appropriate

To handle transient errors and improve the reliability of the Apify integration, we'll implement retry logic for certain operations. This will include:

  • Backoff strategy for rate limits: We'll implement a backoff strategy to handle rate limiting errors, gradually increasing the delay between retries.
  • ircuit breaker for persistent failures: We'll implement a circuit breaker to detect persistent failures and prevent further requests from being sent.
  • Configurable retry policies: We'll provide configurable retry policies to allow users to customize the retry behavior for each operation.

Integration

The proposed error handling components will be implemented alongside the Apify integration components. This will include:

  • Issue #108: Add apify-client dependency: We'll add the apify-client dependency and include the error types.
  • Issue #110: ApifyIngestService: We'll implement error handling in the ApifyIngestService.
  • Issue #111: run_apify_source task: We'll implement retry logic for the run_apify_source task.
  • Issue #112: webhook endpoint: We'll implement validation and error responses for the webhook endpoint.

Benefits

The proposed solution provides several benefits, including:

  • Practical: Addresses real needs without theoretical complexity
  • Focused: Tailored to Apify integration challenges
  • Immediate: Can be implemented without waiting for the full error framework
  • Extensible: Can later be integrated with a broader error framework if needed
  • Observable: Improves monitoring and debugging capabilities

Acceptance Criteria

To ensure the proposed solution meets the requirements, we'll establish the following acceptance criteria:

  • [ ] Error types defined and implemented
  • [ ] Utility decorators/functions created and tested
  • [ ] Consistent logging approach established
  • [ ] Retry logic implemented for appropriate operations
  • [ ] Integration with existing Apify issues coordinated
  • [ ] Documentation added for error types and handling approaches
  • [ ] Test coverage for error paths

Estimated Effort

The estimated effort for implementing the proposed solution is medium (1-2 days) of focused work.

Dependencies

The proposed solution depends on:

  • Depends on: #108 (apify-client dependency)
  • Related to: PR #69 (standardized error handling), PR #99 (RSS parser error handling)
  • Will benefit: #110, #111, #112, #113 (Apify integration components)
    Q&A: Implementing Targeted Error Handling for Apify Integration ====================================================================

Q: What is the main goal of implementing targeted error handling for Apify integration?

A: The main goal is to address the specific challenges of working with external APIs without creating a complex, comprehensive framework. By focusing on the unique needs of the Apify integration, we can create a more practical, focused, and immediate solution that improves monitoring and debugging capabilities.

Q: Why is comprehensive error handling not being implemented at this time?

A: While comprehensive error handling is valuable, we can address immediate needs with a more targeted approach. The proposed solution will be implemented alongside the Apify integration components, ensuring a seamless and efficient integration process.

Q: What are the proposed error types for Apify operations?

A: The proposed error types are:

  • ApifyError: Base class with context preservation
  • ApifyAuthError: For authentication/authorization issues
  • ApifyRateLimitError: For rate limiting
  • ApifyDataProcessingError: For data processing failures
  • ApifyNetworkError: For connection issues

Q: How will the utility functions/decorators be implemented?

A: The utility functions/decorators will be implemented using the with_apify_error_handling decorator. This decorator will provide a consistent way to handle Apify errors, making it easier to maintain and debug the integration.

Q: What is the purpose of consistent logging in the proposed solution?

A: Consistent logging will be implemented to improve monitoring and debugging capabilities. This will include:

  • Error context capturing: We'll capture relevant information about each error, such as the operation being performed and the error message.
  • Structured logging for errors: We'll use a structured logging format to make it easier to parse and analyze error logs.
  • Correlation IDs for traceability: We'll use correlation IDs to track the flow of requests and responses, making it easier to diagnose issues.

Q: What is the purpose of implementing retry logic in the proposed solution?

A: To handle transient errors and improve the reliability of the Apify integration, we'll implement retry logic for certain operations. This will include:

  • Backoff strategy for rate limits: We'll implement a backoff strategy to handle rate limiting errors, gradually increasing the delay between retries.
  • Circuit breaker for persistent failures: We'll implement a circuit breaker to detect persistent failures and prevent further requests from being sent.
  • Configurable retry policies: We'll provide configurable retry policies to allow users to customize the retry behavior for each operation.

Q: How will the proposed solution be integrated with the existing Apify issues?

A: The proposed error handling components will be implemented alongside the Apify integration components. This will include:

  • Issue #108: Add apify-client dependency: We'll add the apify-client dependency and include the error types.
  • Issue #110: ApifyIngestService: We'll implement error handling in the ApifyIngestService.
  • Issue #111: run_apify_source task: We'll implement retry logic for the run_apify_source task.
  • Issue #112: webhook endpoint: We'll implement validation and error responses for the webhook endpoint.

Q: What are the benefits of the proposed solution?

A: The proposed solution provides several benefits, including:

  • Practical: Addresses real needs without theoretical complexity
  • Focused: Tailored to Apify integration challenges
  • Immediate: Can be implemented without waiting for the full error framework
  • Extensible: Can later be integrated with a broader error framework if needed
  • Observable: Improves monitoring and debugging capabilities

Q: What is the estimated effort for implementing the proposed solution?

A: The estimated effort for implementing the proposed solution is medium (1-2 days) of focused work.

Q: What are the dependencies for the proposed solution?

A: The proposed solution depends on:

  • Depends on: #108 (apify-client dependency)
  • Related to: PR #69 (standardized error handling), PR #99 (RSS parser error handling)
  • Will benefit: #110, #111, #112, #113 (Apify integration components)