Fetch and parse JSON from REST API
Problem Description
Design and implement a robust data ingestion service that fetches data from a specified REST API endpoint. The service must perform an HTTP GET request, process the JSON response, and extract a predefined set of fields (e.g., order_id, courier_id, latitude, longitude, timestamp).
The implementation must account for common challenges associated with external API integrations, including:
- Authentication: Securely accessing the API.
- Pagination: Handling responses that span multiple pages.
- Rate Limiting: Implementing strategies like exponential backoff and retry mechanisms to comply with API limits.
- Timeouts: Gracefully managing unresponsive API calls.
- Malformed Records: Robustly handling invalid or unexpected data structures in the JSON response.
After extraction, the data must be transformed to conform to a specified target schema. Finally, the processed data should be outputted in either CSV or JSON format.
Deliverables
Your solution should include:
- Well-structured code for the data ingestion and transformation logic.
- Basic unit tests to validate core functionalities.
- Comprehensive error handling throughout the process.
- Effective logging to monitor execution and debug issues.
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Core dilemma
Ensuring robust, reliable, and efficient data ingestion from an external, potentially unstable, REST API while maintaining data integrity and handling various failure modes gracefully.
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Fetch and parse JSON from REST API
Problem Description
Design and implement a robust data ingestion service that fetches data from a specified REST API endpoint. The service must perform an HTTP GET request, process the JSON response, and extract a predefined set of fields (e.g., order_id, courier_id, latitude, longitude, timestamp).
The implementation must account for common challenges associated with external API integrations, including:
- Authentication: Securely accessing the API.
- Pagination: Handling responses that span multiple pages.
- Rate Limiting: Implementing strategies like exponential backoff and retry mechanisms to comply with API limits.
- Timeouts: Gracefully managing unresponsive API calls.
- Malformed Records: Robustly handling invalid or unexpected data structures in the JSON response.
After extraction, the data must be transformed to conform to a specified target schema. Finally, the processed data should be outputted in either CSV or JSON format.
Deliverables
Your solution should include:
- Well-structured code for the data ingestion and transformation logic.
- Basic unit tests to validate core functionalities.
- Comprehensive error handling throughout the process.
- Effective logging to monitor execution and debug issues.