Add Amazon Product Advertising API integration

[idvorkin]

Summary

• Implemented Amazon Product Advertising API v5 integration
• Created multiple approaches to test authentication
• Discovered credential format issues during implementation

Implementation Details

Scripts Created:

1. amazon_product_api.py - Main API client with AWS Signature V4 authentication
2. amazon_api_simple.py - Simplified client using python-amazon-paapi library
3. update_asins.py - Script to update asins.json with real product data
4. test_simple_paapi.py - Debug script for testing authentication
5. amazon_official_sdk.py - Attempt to use official SDK (repo not found)
6. amazon_paapi5_lib.py - Alternative library attempt

Key Findings:

• The provided credentials (AKPADKQCEO...) don't follow standard AWS format
• Standard PA API credentials should start with "AKIA"
• All authentication attempts resulted in 401 Unauthorized errors
• The scripts are ready to use once valid PA API credentials are obtained

Next Steps:

1. Obtain valid PA API credentials from Amazon Associates Central
2. Update .env file with proper credentials
3. Run uv run update_asins.py to refresh product data

Test Plan

• Implemented multiple authentication approaches
• Tested with various Python libraries
• Added comprehensive error handling
• Test with valid PA API credentials

🤖 Generated with Claude Code

[claude]

Claude finished @idvorkin's task —— View job

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PR Review: Amazon Product Advertising API Integration

I've completed a comprehensive review of this PR. Here's my analysis:

Todo List:

• Read and analyze all 7 Python files
• Review code quality and best practices
• Check for potential bugs and security issues
• Assess performance considerations
• Evaluate test coverage
• Provide constructive feedback and recommendations

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Overall Assessment

This PR implements multiple approaches to integrate with Amazon's Product Advertising API v5, which shows good exploratory development practices. However, there are several areas for improvement across code quality, security, and maintainability.

Detailed Review by File

🟢 Strengths

Good Architecture Decisions:

• Clean separation of concerns with dedicated client classes
• Multiple implementation approaches for comparison (amazon_product_api.py, amazon_api_simple.py, etc.)
• Rich CLI interface with proper error handling and user feedback
• Use of modern Python features (type hints, f-strings, pathlib)

Documentation:

• README_amazon_api.md provides clear setup and usage instructions
• Good inline docstrings in main API client

🟡 Code Quality Issues

1. Credential Security (amazon_api_simple.py:31-36)

console.print(f"[dim]Access Key: {ACCESS_KEY}[/dim]")

Issue: Credentials are logged in plaintext to console, creating security risk.
Fix: Remove credential logging or mask completely.

2. Hardcoded Values (amazon_official_sdk.py:32, test_simple_paapi.py:26-28)

HOST = "webservices.amazon.com"
REGION = "us-east-1" 
SERVICE = "ProductAdvertisingAPI"

Issue: Hardcoded configuration should be configurable.
Fix: Move to environment variables or configuration class.

3. Exception Handling (amazon_paapi5_lib.py:56-88)

except Exception as e:
    console.print(f"[red]Error: {type(e).__name__}: {e}[/red]")
    # Try alternative approach

Issue: Overly broad exception handling masks specific errors.
Fix: Use specific exception types and proper error propagation.

4. Code Duplication
Multiple files contain nearly identical credential loading and API initialization patterns. Consider creating a shared base class or utility module.

🔴 Security Concerns

1. Credential Exposure (amazon_api_simple.py:31-36)

• Access keys logged to console in plaintext
• Risk of credentials appearing in logs or terminal histories

2. Error Information Disclosure (amazon_product_api.py:96-108)

console.print(f"[red]Response: {response.text}[/red]")

Issue: Full API error responses may contain sensitive information.
Fix: Sanitize error messages before logging.

3. Environment File Creation (amazon_product_api.py:301-314)

with open(".env", "w") as f:
    f.write(env_content)

Issue: Creates .env file with potentially unsafe permissions.
Fix: Set restrictive file permissions (0o600) after creation.

🔧 Performance Considerations

1. Rate Limiting (update_asins.py:159-161)

time.sleep(1)  # Rate limiting - PA API allows 1 request per second

Good: Proper rate limiting implementation.
Suggestion: Consider exponential backoff for 429 responses.

2. Batch Processing (update_asins.py:91-98)
Good: Processes items in batches of 10 (API limit).
Suggestion: Add retry logic for failed batches.

3. Memory Usage
Large product catalogs could consume significant memory. Consider streaming/pagination for large datasets.

🧪 Test Coverage

Major Gap: No automated tests present.

Recommendations:

• Add unit tests for API client classes
• Mock HTTP responses for testing different scenarios
• Add integration tests with test credentials
• Test error handling paths
• Validate credential format checking logic

Test Structure Suggestion:

tests/
├── test_amazon_product_api.py
├── test_update_asins.py
├── fixtures/
│   └── sample_responses.json
└── conftest.py

🐛 Potential Bugs

1. Missing Null Checks (update_asins.py:102-104)

asin = item.get("ASIN")
if not asin or asin not in asins_data:
    continue

Issue: Could fail if item is None.
Fix: Add if not item: check.

2. File Path Assumptions (update_asins.py:40-43)

asins_path = Path("_data/asins.json")
if not asins_path.exists():

Issue: Assumes specific directory structure.
Fix: Make path configurable or check from project root.

3. Incomplete Error Recovery (test_simple_paapi.py:105-107)
No error handling for network failures or malformed responses.

Recommendations

High Priority

1. Remove credential logging from all files
2. Add proper file permissions when creating .env files
3. Implement comprehensive test suite
4. Add input validation for ASINs and API responses

Medium Priority

1. Consolidate duplicate code into shared utilities
2. Add configuration management for endpoints and regions
3. Implement retry logic with exponential backoff
4. Add logging framework instead of console prints

Low Priority

1. Add type checking with mypy
2. Implement async API client for better performance
3. Add metrics/monitoring for API usage
4. Create GitHub Actions workflow for testing

Security Checklist

• Remove credential logging
• Set restrictive .env file permissions
• Sanitize error messages
• Add input validation
• Review all console output for sensitive data

Next Steps

Before merging, I recommend:

1. Address the security issues (credential logging)
2. Add basic unit tests for the main API client
3. Fix the hardcoded configuration values
4. Add proper error handling for edge cases

The core functionality looks solid, but addressing these issues will make the code production-ready and maintainable.

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