How do I convert a string to an integer in Python?
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10 решенийAsynchronous Processing with Limits
Use asynchronous programming patterns with explicit controls on the number of concurrent tasks.
Limit Concurrent Connections
Configure your application to limit the number of active connections to the API at any given time.
Use a Retry Queue with Delays
Queue failed requests and process them with appropriate delays to avoid overwhelming the API.
Implement Exponential Backoff
When a rate limit is hit, wait for an increasing amount of time before retrying the request.
Utilize Bulk Endpoints
Check if the API offers endpoints for retrieving or manipulating multiple resources at once.
Batch API Requests
If the API supports it, group multiple data fetches or updates into single requests.
Request Limit Increase
Contact the API provider to inquire about increasing your rate limit if your usage is legitimate.
Optimize API Call Frequency
Review your application's logic to reduce unnecessary or redundant API calls.
Implement Client-Side Rate Limiting
Add logic to your application to control the rate at which it sends requests to the API.
Perform a Clean Boot
Start your computer with a minimal set of startup programs and services to identify if any background software is causing the conflict.
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Have you profiled your program to identify performance bottlenecks?
Are there any external dependencies or services your program interacts with?
What is the typical input size or data volume your program processes?
Can you describe the specific operations or parts of the program that are slow?
What programming language and framework are you using?
What is the specific rate limit being hit (e.g., requests per second, per minute, per hour)?
What operating system are you using?
What type of user data do you believe is at risk of exposure?
What specific error message are you seeing when the integration fails?
Which screen reader are you using?
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