throttler | 🔀⏳ Easy throttling with asyncio support | Reactive Programming library
kandi X-RAY | throttler Summary
kandi X-RAY | throttler Summary
Zero-dependency Python package for easy throttling with asyncio support.
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Top functions reviewed by kandi - BETA
- Example example
- Get many requests
- Run multiple tasks in parallel
- Perform a GET request
- A task decorator
- Load requirements from a file
- Read content of file
- Load a module
- Read file contents
throttler Key Features
throttler Examples and Code Snippets
Lines of Code : 142
License : No License
Copypublic class BarCustomer {
@Getter
private final String name;
@Getter
private final int allowedCallsPerSecond;
public BarCustomer(String name, int allowedCallsPerSecond, CallsCount callsCount) {
if (allowedCallsPerSecond from throttler import Throttler
# Limit to three calls per second
t = Throttler(rate_limit=3, period=1.0)
async with t:
pass
import asyncio
from throttler import throttle
# Limit to three calls per second
@throttle(rate_limit=3, period=1.0)
a import random
import time
from throttler import Timer
timer = Timer('My Timer', verbose=True)
for _ in range(3):
with timer:
time.sleep(random.random())
import random
import time
from throttler import timer
@timer('My Timer', verbos Community Discussions
Trending Discussions on throttler
QUESTION
So right now I'm trying to figure out how to solve this issue. I need to call an external resource (API) and pass to it an object collection.
So lets say, I have a sender like this:
...ANSWER
Answered 2022-Mar-24 at 16:03So in the end, I used window sliding technique.
QUESTION
I've been trying to understanding asynchronous programming in Python. I tried writing a simple throttler that allows only rate_limit number of tasks to be processed at a time.
Here's the implementation:
...ANSWER
Answered 2021-Sep-04 at 10:15This is because you are creating the lock before the asyncio.run runs a loop, try creating the throttler in main() and sending it to f().
QUESTION
I am trying to rate limit my API with @NestJs/throttler. I want to set two different limit caps:
- 100 requests per 1 second
- 10,000 requests per 24 hours.
Setting either one of these rate limits is explained in the docs and is pretty straight forwad. But, setting both limitations is not articulated in the docs.
How can I rate limit my API by both time intervals?
...ANSWER
Answered 2021-Jun-30 at 21:01As I told you on Discord, with @nestjs/throttler, this functionality currently doesn't exist. You can have one or the other, or you can override the global config to be more specific for one endpoint, but there's not currently a way to have two limits set up.
QUESTION
I'm using Google Analytics and that service has limit of 10 concurrent requests. I had to limit my API somehow, so I decided to use a semaphore, but it seems it doesn't work. All requests are triggered simultaneously. I can't find the problem in my code.
...ANSWER
Answered 2021-Jun-07 at 21:38All requests are triggered simultaneously.
Let's take a look here
QUESTION
The first function is designed to enable linq to execute lambda functions safely in parallel (even the async void ones).
So you can do collection.AsParallel().ForAllASync(async x => await x.Action).
The second function is designed to enable you to combine and execute multiple IAsyncEnumerables in parallel and return their results as quick as possible.
I have the following code:
...ANSWER
Answered 2021-Apr-22 at 01:10The type (IAsyncEnumerator, bool) is a shorthand of the ValueTuple, bool> type, which is a value type. This means that on assignement it's not passed by reference, and instead it's copied. So this lambda does not work as intended:
QUESTION
The first function is designed to enable linq to execute lambda functions safely in parallel (even the async void ones).
So you can do collection.AsParallel().ForAllASync(async x => await x.Action).
The second function is designed to enable you to combine and execute multiple IAsyncEnumerables in parallel and return their results as quick as possible.
I have the following code:
...ANSWER
Answered 2021-Apr-21 at 15:21This is a classic case of deferred execution. Every time you invoke an evaluating method on a non-materialized IEnumerable<>, it does the work to materialize the IEnumerable. In this case that's re-invoking your selector and creating new instances of the tasks that await the GetAsyncEnumerator calls.
With the call to .ToList() you materialize the IEnumerable. Without it, materialization occurs with with every call to .Any(), the call to ForAllAsync(), and at your foreach loop.
The same behavior can be reproduced minimally like this:
QUESTION
I'm trying to put my nestjs api into Google App Engine but I still have an error. I have created my google cloud project first with the google sdk, edited my code as follow:
main.ts:
...ANSWER
Answered 2021-Apr-15 at 23:22Take a look on this other post:
It seems you need to install and use npm as:
@nestjs/cli instead of just nest
QUESTION
I have a class that has a member variable that wraps a std time_point in an atomic. I'm having a hard time getting older compilers happy with it. I initially had issues with versions of GCC earlier than 10 accepting it. I addressed this via explicitly initializing it.
I thought that made all the compilers happy. But once my code got into production, I faced an issue in the more thorough CI (in comparison to the PR CI) with older clang compilers. The project is Apache Traffic Server, so it is open sourced, if viewing it is interesting. Here is the code:
https://github.com/apache/trafficserver/blob/master/include/tscore/Throttler.h#L117
Here is a minimal example that demonstrates the problem:
...ANSWER
Answered 2021-Mar-30 at 02:06As a workaround, you can make TimePoint a subclass (with a noexcept default constructor) instead of a typedef.
QUESTION
I am learning asynchronous programming from scratch and have to solve one problem. Application which I am developing has to download data in loop per ID (around 800 loop pass). Each Loop pass get 10 to 500 rows from database and generating one txt file with rows. I'd like to do this asynchronously. Of course do not want to generate 800 reports at same time (800 sql queries) but would like to divide it to some batches. I use SemaphoreSlim:
ANSWER
Answered 2021-Mar-23 at 15:07You can do that easily with an ActionBlock Class from Dataflow (Task Parallel Library):
QUESTION
I have an ASP.NET 5 Web API application which contains a method that takes objects from a List and makes HTTP requests to a server, 5 at a time, until all requests have completed. This is accomplished using a SemaphoreSlim, a List(), and awaiting on Task.WhenAll(), similar to the example snippet below:
ANSWER
Answered 2021-Feb-26 at 20:34If I wanted to limit the total number of Tasks that are being executed at any given time to say 100, is it possible to accomplish this?
What you are looking for is to limit the MaximumConcurrencyLevel of what's called the Task Scheduler. You can create your own task scheduler that regulates the MaximumCongruencyLevel of the tasks it manages. I would recommend implementing a queue-like object that tracks incoming requests and currently working requests and waits for the current requests to finish before consuming more. The below information may still be relevant.
The task scheduler is in charge of how Tasks are prioritized, and in charge of tracking the tasks and ensuring that their work is completed, at least eventually.
The way it does this is actually very similar to what you mentioned, in general the way the Task Scheduler handles tasks is in a FIFO (First in first out) model very similar to how a ConcurrentQueue works (at least starting in .NET 4).
Would the framework automatically prevent too many tasks from being executed?
By default the TaskScheduler that is created with most applications appears to default to a MaximumConcurrencyLevel of int.MaxValue. So theoretically yes.
The fact that there practically is no limit to the amount of tasks(at least with the default TaskScheduler) might not be that big of a deal for your case scenario.
Tasks are separated into two types, at least when it comes to how they are assigned to the available thread pools. They're separated into Local and Global queues.
Without going too far into detail, the way it works is if a task creates other tasks, those new tasks are part of the parent tasks queue (a local queue). Tasks spawned by a parent task are limited to the parent's thread pool.(Unless the task scheduler takes it upon itself to move queues around)
If a task isn't created by another task, it's a top-level task and is placed into the Global Queue. These would normally be assigned their own thread(if available) and if one isn't available it's treated in a FIFO model, as mentioned above, until it's work can be completed.
This is important because although you can limit the amount of concurrency that happens with the TaskScheduler, it may not necessarily be important - if for say you have a top-level task that's marked as long running and is in-charge of processing your incoming requests. This would be helpful since all the tasks spawned by this top-level task will be part of that task's local queue and therefor won't spam all your available threads in your thread pool.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install throttler
You can use throttler like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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