Custom Retry for Flaky API | Dataford Interview Questions

Implement a custom retry mechanism for a flaky API call.

For deterministic testing, responses contains the results of sequential API attempts. Each item is a dictionary with ok and either value or error. Return the first successful result, or the final error after max_retries retries.

Function signature: def retry_api_call(responses, max_retries):

Constraints

0 <= max_retries <= 10^4
1 <= len(responses) <= 10^4
Each response contains an ok boolean
A successful response contains value; a failed response contains error
The first response represents the initial API call

Function Signature

def retry_api_call(responses, max_retries):

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Problem

Implement a custom retry mechanism for a flaky API call.

Function signature: def retry_api_call(responses, max_retries):

Constraints

0 <= max_retries <= 10^4
1 <= len(responses) <= 10^4
Each response contains an ok boolean
A successful response contains value; a failed response contains error
The first response represents the initial API call

Function Signature

def retry_api_call(responses, max_retries):

Your question is Custom Retry for Flaky API. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.