pax_global_header00006660000000000000000000000064151360053120014506gustar00rootroot0000000000000052 comment=d93292239b8459a02dd004505aa45772d93fc1a4 throttler-1.2.3/000077500000000000000000000000001513600531200135405ustar00rootroot00000000000000throttler-1.2.3/.github/000077500000000000000000000000001513600531200151005ustar00rootroot00000000000000throttler-1.2.3/.github/workflows/000077500000000000000000000000001513600531200171355ustar00rootroot00000000000000throttler-1.2.3/.github/workflows/pythonpublish.yml000066400000000000000000000031301513600531200225650ustar00rootroot00000000000000name: Upload Python Package on: release: types: [published] permissions: contents: read jobs: release-build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v5 - name: Install uv uses: astral-sh/setup-uv@v6 - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.x' - name: Install build tools run: | uv sync --locked --all-extras --dev - name: Build release distributions run: | uv run python -m build - name: Smoke test (wheel) run: | tmpdir="$(mktemp -d)" cp tests/smoke_test.py "$tmpdir/" cd "$tmpdir" uv run --isolated --no-project --with "$GITHUB_WORKSPACE/dist/"*.whl smoke_test.py - name: Smoke test (source distribution) run: | tmpdir="$(mktemp -d)" cp tests/smoke_test.py "$tmpdir/" cd "$tmpdir" uv run --isolated --no-project --with "$GITHUB_WORKSPACE/dist/"*.tar.gz smoke_test.py - name: Upload distributions uses: actions/upload-artifact@v4 with: name: release-dists path: dist/ pypi-publish: runs-on: ubuntu-latest needs: - release-build permissions: id-token: write environment: name: release steps: - name: Retrieve release distributions uses: actions/download-artifact@v4 with: name: release-dists path: dist/ - name: Publish release distributions to PyPI uses: pypa/gh-action-pypi-publish@release/v1 throttler-1.2.3/.github/workflows/tests.yml000066400000000000000000000043201513600531200210210ustar00rootroot00000000000000name: Python Tests on: push: branches: [master] pull_request: permissions: contents: read jobs: build: name: ${{ matrix.os }} / Python ${{ matrix.python-version }} runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: os: [ubuntu-latest, macos-latest, windows-2022] python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13', '3.14'] env: OS: ${{ matrix.os }} PYTHON: ${{ matrix.python-version }} steps: - uses: actions/checkout@v5 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} allow-prereleases: true - name: Install uv uses: astral-sh/setup-uv@v6 - name: Install dependencies run: | uv sync --locked --all-extras --dev - name: Lint with ruff run: | uv run ruff check . uv run ruff format --check . - name: Test with pytest run: | uv run pytest -vl --cov=./ --cov-report=xml - name: Upload coverage to Codecov uses: codecov/codecov-action@v5 with: env_vars: OS,PYTHON flags: unittests package-smoke: name: Package Smoke runs-on: ubuntu-latest steps: - uses: actions/checkout@v5 - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.14' allow-prereleases: true - name: Install uv uses: astral-sh/setup-uv@v6 - name: Install dependencies run: | uv sync --locked --all-extras --dev - name: Build distributions run: | uv run python -m build - name: Smoke test (wheel) run: | tmpdir="$(mktemp -d)" cp tests/smoke_test.py "$tmpdir/" cd "$tmpdir" uv run --isolated --no-project --with "$GITHUB_WORKSPACE/dist/"*.whl smoke_test.py - name: Smoke test (source distribution) run: | tmpdir="$(mktemp -d)" cp tests/smoke_test.py "$tmpdir/" cd "$tmpdir" uv run --isolated --no-project --with "$GITHUB_WORKSPACE/dist/"*.tar.gz smoke_test.py throttler-1.2.3/.gitignore000066400000000000000000000034251513600531200155340ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # IDE .idea/ throttler-1.2.3/LICENSE000066400000000000000000000020621513600531200145450ustar00rootroot00000000000000MIT License Copyright (c) 2020 Ramzan Bekbulatov Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. throttler-1.2.3/MANIFEST.in000066400000000000000000000000421513600531200152720ustar00rootroot00000000000000include readme.md include LICENSE throttler-1.2.3/codecov.yml000066400000000000000000000000621513600531200157030ustar00rootroot00000000000000ignore: - 'examples' - 'setup.py' - 'tests' throttler-1.2.3/examples/000077500000000000000000000000001513600531200153565ustar00rootroot00000000000000throttler-1.2.3/examples/__init__.py000066400000000000000000000000001513600531200174550ustar00rootroot00000000000000throttler-1.2.3/examples/example_execution_timer.py000066400000000000000000000016621513600531200226530ustar00rootroot00000000000000import asyncio import time from throttler import ExecutionTimer def example(): """ Output will be like: Thu Mar 26 00:56:17 2020 | 1585173377.1203406 Thu Mar 26 00:57:00 2020 | 1585173420.0006166 Thu Mar 26 00:58:00 2020 | 1585173480.002517 Thu Mar 26 00:59:00 2020 | 1585173540.001494 """ et = ExecutionTimer(60, align_sleep=True) while True: with et: print(time.asctime(), "|", time.time()) def example_async(): """ Output will be like: Thu Mar 26 00:56:17 2020 | 1585173377.1203406 Thu Mar 26 00:57:00 2020 | 1585173420.0006166 Thu Mar 26 00:58:00 2020 | 1585173480.002517 Thu Mar 26 00:59:00 2020 | 1585173540.001494 """ et = ExecutionTimer(60, align_sleep=True) async def coro(): while True: async with et: print(time.asctime(), "|", time.time()) asyncio.run(coro()) throttler-1.2.3/examples/example_throttlers.py000066400000000000000000000012611513600531200216550ustar00rootroot00000000000000import asyncio import time from throttler import Throttler, ThrottlerSimultaneous async def task(throttler): async with throttler: return await asyncio.sleep(0.1) async def many_tasks(throttler, count: int): coros = [task(throttler) for _ in range(count)] for coro in asyncio.as_completed(coros): _result = await coro print(f"Timestamp: {time.time()}") def example(): async def run(): t = Throttler(rate_limit=10, period=3.0) await many_tasks(t, 100) asyncio.run(run()) def example_simultaneous(): async def run(): t = ThrottlerSimultaneous(count=5) await many_tasks(t, 100) asyncio.run(run()) throttler-1.2.3/examples/example_throttlers_aiohttp.py000066400000000000000000000020471513600531200234100ustar00rootroot00000000000000import asyncio import time import aiohttp from throttler import Throttler, ThrottlerSimultaneous class SomeAPI: api_url = "https://example.com" def __init__(self, throttler): self.throttler = throttler async def request(self, session: aiohttp.ClientSession): async with self.throttler: async with session.get(self.api_url) as resp: return resp async def many_requests(self, count: int): async with aiohttp.ClientSession() as session: coros = [self.request(session) for _ in range(count)] for coro in asyncio.as_completed(coros): response = await coro print(f"{int(time.time())} | Result: {response.status}") def example(): async def run(): api = SomeAPI(Throttler(rate_limit=3, period=1.0)) await api.many_requests(100) asyncio.run(run()) def example_simultaneous(): async def run(): api = SomeAPI(ThrottlerSimultaneous(count=5)) await api.many_requests(100) asyncio.run(run()) throttler-1.2.3/examples/example_timer.py000066400000000000000000000017441513600531200205710ustar00rootroot00000000000000import random import time from throttler import Timer def example(): """ Output will be like: My Timer | elapsed: 0.85 sec My Timer | elapsed: 0.93 sec My Timer | elapsed: 0.31 sec """ timer = Timer("My Timer") for _ in range(3): with timer: time.sleep(random.random()) def example_verbose(): """ Output will be like: #1 | My Timer | begin: 2020-03-26 01:46:07.648661 #1 | My Timer | end: 2020-03-26 01:46:08.382135, elapsed: 0.73 sec, average: 0.73 sec #2 | My Timer | begin: 2020-03-26 01:46:08.382135 #2 | My Timer | end: 2020-03-26 01:46:08.599919, elapsed: 0.22 sec, average: 0.48 sec #3 | My Timer | begin: 2020-03-26 01:46:08.599919 #3 | My Timer | end: 2020-03-26 01:46:09.083370, elapsed: 0.48 sec, average: 0.48 sec """ timer = Timer("My Timer", verbose=True) for _ in range(3): with timer: time.sleep(random.random()) throttler-1.2.3/pyproject.toml000066400000000000000000000034371513600531200164630ustar00rootroot00000000000000[build-system] requires = ["setuptools>=61", "wheel"] build-backend = "setuptools.build_meta" [project] name = "throttler" description = "Zero-dependency Python package for easy throttling with asyncio support" dynamic = ["version"] readme = { file = "readme.md", content-type = "text/markdown" } license = { file = "LICENSE" } authors = [{ name = "uburuntu", email = "github@rmbk.me" }] requires-python = ">=3.8" keywords = [ "asyncio", "aio-throttle", "aiothrottle", "aiothrottler", "aiothrottling", "asyncio-throttle", "rate-limit", "rate-limiter", "throttling", "throttle", "throttler", ] classifiers = [ "Development Status :: 5 - Production/Stable", "Framework :: AsyncIO", "Intended Audience :: Developers", "Intended Audience :: System Administrators", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Typing :: Typed", ] dependencies = [] [project.optional-dependencies] dev = [ "aiohttp", "build", "codecov", "pytest", "pytest-asyncio", "pytest-cov", "ruff", ] [project.urls] Homepage = "https://github.com/uburuntu/throttler" Source = "https://github.com/uburuntu/throttler" Download = "https://github.com/uburuntu/throttler/archive/master.zip" [tool.setuptools] include-package-data = true [tool.setuptools.packages.find] exclude = ["examples", "tests"] [tool.setuptools.dynamic] version = { attr = "throttler.__version__" } [tool.ruff] target-version = "py38" [tool.ruff.lint] select = ["E9", "F63", "F7", "F82"] throttler-1.2.3/readme.md000066400000000000000000000172371513600531200153310ustar00rootroot00000000000000# Throttler [![Python](https://img.shields.io/badge/Python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12%20%7C%203.13%20%7C%203.14-blue.svg?longCache=true)]() [![PyPI](https://img.shields.io/pypi/v/throttler.svg)](https://pypi.python.org/pypi/throttler) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://github.com/uburuntu/throttler/blob/master/LICENSE) [![Python Tests](https://github.com/uburuntu/throttler/actions/workflows/tests.yml/badge.svg)](https://github.com/uburuntu/throttler/actions/workflows/tests.yml) [![codecov](https://codecov.io/gh/uburuntu/throttler/branch/master/graph/badge.svg)](https://codecov.io/gh/uburuntu/throttler) Zero-dependency Python package for easy throttling with asyncio support. > ![Demo](https://i.imgur.com/MyAALZt.gif) ## ๐ŸŽ’ Install Just ```sh pip install throttler ``` ## ๐Ÿงช Development ```sh uv sync --locked --all-extras --dev uv run pytest -vl --cov=./ --cov-report=xml uv run ruff check . uv run ruff format . uv run python -m build ``` ## ๐Ÿ“Œ API Overview This package exposes four context managers and six decorators: - `Throttler` / `throttle`: rate-limits how often a block or async function can be entered. - `ThrottlerSimultaneous` / `throttle_simultaneous`: caps how many async calls can run at once. - `ExecutionTimer` / `execution_timer`: enforces a minimum period between entries by sleeping. - `Timer` / `timer`: prints timing information, including average duration across iterations. `Throttler` and `ThrottlerSimultaneous` are **async context managers** and must be used within an event loop. `ExecutionTimer` and `Timer` support both sync and async usage. ## โœ… Choosing the Right Tool - Use `Throttler` when you need **rate limiting** (e.g., 10 requests per 1 second). - Use `ThrottlerSimultaneous` when you need **concurrency limiting** (e.g., at most 5 in-flight tasks). - Use `ExecutionTimer` when you want **fixed spacing** between iterations (e.g., run a job once per minute). - Use `Timer` when you want **timing output** for repeated operations. It is common to combine `Throttler` with `ThrottlerSimultaneous` for APIs that enforce both rate and concurrency. ## ๐Ÿ›  Usage Examples All run-ready examples are [here](examples). ### Throttler and ThrottlerSimultaneous Both are **async context managers**. Use them inside an async function or event loop. **Throttler**: > Async context manager that limits how often the block can be entered. ```python from throttler import Throttler # Limit to three calls per second t = Throttler(rate_limit=3, period=1.0) async with t: pass ``` Or ```python import asyncio from throttler import throttle # Limit to three calls per second @throttle(rate_limit=3, period=1.0) async def task(): return await asyncio.sleep(0.1) ``` **ThrottlerSimultaneous**: > Async context manager that limits concurrent access to a block. ```python from throttler import ThrottlerSimultaneous # Limit to five simultaneous calls t = ThrottlerSimultaneous(count=5) async with t: pass ``` Or ```python import asyncio from throttler import throttle_simultaneous # Limit to five simultaneous calls @throttle_simultaneous(count=5) async def task(): return await asyncio.sleep(0.1) ``` #### Simple Example ```python import asyncio import time from throttler import throttle # Limit to two calls per second @throttle(rate_limit=2, period=1.0) async def task(): return await asyncio.sleep(0.1) async def many_tasks(count: int): coros = [task() for _ in range(count)] for coro in asyncio.as_completed(coros): _ = await coro print(f'Timestamp: {time.time()}') asyncio.run(many_tasks(10)) ``` Result output: ```text Timestamp: 1585183394.8141203 Timestamp: 1585183394.8141203 Timestamp: 1585183395.830335 Timestamp: 1585183395.830335 Timestamp: 1585183396.8460555 Timestamp: 1585183396.8460555 ... ``` #### API Example ```python import asyncio import time import aiohttp from throttler import Throttler, ThrottlerSimultaneous class SomeAPI: api_url = 'https://example.com' def __init__(self, throttler): self.throttler = throttler async def request(self, session: aiohttp.ClientSession): async with self.throttler: async with session.get(self.api_url) as resp: return resp async def many_requests(self, count: int): async with aiohttp.ClientSession() as session: coros = [self.request(session) for _ in range(count)] for coro in asyncio.as_completed(coros): response = await coro print(f'{int(time.time())} | Result: {response.status}') async def run(): # Throttler can be of any type t = ThrottlerSimultaneous(count=5) # Five simultaneous requests t = Throttler(rate_limit=10, period=3.0) # Ten requests in three seconds api = SomeAPI(t) await api.many_requests(100) asyncio.run(run()) ``` Result output: ```text 1585182908 | Result: 200 1585182908 | Result: 200 1585182908 | Result: 200 1585182909 | Result: 200 1585182909 | Result: 200 1585182909 | Result: 200 1585182910 | Result: 200 1585182910 | Result: 200 1585182910 | Result: 200 ... ``` ### ExecutionTimer > Context manager that enforces a minimum period between entries by sleeping. It is not a rate limiter like `Throttler`. With `align_sleep=True`, it aligns to wall-clock boundaries (e.g. each minute). ```python import time from throttler import ExecutionTimer et = ExecutionTimer(60, align_sleep=True) while True: with et: print(time.asctime(), '|', time.time()) ``` Or ```python import time from throttler import execution_timer @execution_timer(60, align_sleep=True) def f(): print(time.asctime(), '|', time.time()) while True: f() ``` Result output: ```text Thu Mar 26 00:56:17 2020 | 1585173377.1203406 Thu Mar 26 00:57:00 2020 | 1585173420.0006166 Thu Mar 26 00:58:00 2020 | 1585173480.002517 Thu Mar 26 00:59:00 2020 | 1585173540.001494 ``` ### Timer > Context manager for pretty printing start, end, elapsed and average times. Elapsed timing uses a monotonic clock, while start/end timestamps are wall-clock time. ```python import random import time from throttler import Timer timer = Timer('My Timer', verbose=True) for _ in range(3): with timer: time.sleep(random.random()) ``` Or ```python import random import time from throttler import timer @timer('My Timer', verbose=True) def f(): time.sleep(random.random()) for _ in range(3): f() ``` Result output: ```text #1 | My Timer | begin: 2020-03-26 01:46:07.648661 #1 | My Timer | end: 2020-03-26 01:46:08.382135, elapsed: 0.73 sec, average: 0.73 sec #2 | My Timer | begin: 2020-03-26 01:46:08.382135 #2 | My Timer | end: 2020-03-26 01:46:08.599919, elapsed: 0.22 sec, average: 0.48 sec #3 | My Timer | begin: 2020-03-26 01:46:08.599919 #3 | My Timer | end: 2020-03-26 01:46:09.083370, elapsed: 0.48 sec, average: 0.48 sec ``` ## ๐Ÿง  Behavior Notes - `Throttler` uses a sliding window. Each entry may sleep until the oldest recorded entry exits the time window. - `ThrottlerSimultaneous` uses an async semaphore under the hood. - `ExecutionTimer` uses a monotonic clock for waiting; when `align_sleep=True` it aligns to wall time. - `Timer` prints elapsed duration per entry and the running average across all entries. ## โš ๏ธ Error Handling - `Throttler(rate_limit, period)` requires a positive integer rate and a positive float period. - `ThrottlerSimultaneous(count)` requires a positive integer count. These validations raise `ValueError` early so invalid configuration fails fast. ## ๐Ÿ’ฌ Contributing Contributions, issues and feature requests are welcome! ## ๐Ÿ“ License This project is [MIT](https://github.com/uburuntu/throttler/blob/master/LICENSE) licensed. throttler-1.2.3/tests/000077500000000000000000000000001513600531200147025ustar00rootroot00000000000000throttler-1.2.3/tests/__init__.py000066400000000000000000000000001513600531200170010ustar00rootroot00000000000000throttler-1.2.3/tests/service.py000066400000000000000000000021571513600531200167210ustar00rootroot00000000000000import asyncio import random import time from collections import deque class BanException(Exception): pass async def sleeper(value: float): s = random.uniform(0, 0.1) await asyncio.sleep(s) return value class Service: def __init__(self, rate_limit: int, period: float): self.rate_limit = rate_limit self.period = period - 0.01 self.times = deque((0.0,) * rate_limit) async def get(self, value: float): curr_ts = time.monotonic() diff = curr_ts - self.times[0] if diff < self.period: raise BanException("Limit exceeded") self.times.popleft() self.times.append(curr_ts) return await sleeper(value) class ServiceSimultaneous: def __init__(self, max_simultaneous: int): self.max_simultaneous = max_simultaneous self.counter = 0 async def get(self, value: float): self.counter += 1 try: if self.counter > self.max_simultaneous: raise BanException("Limit exceeded") return await sleeper(value) finally: self.counter -= 1 throttler-1.2.3/tests/smoke_test.py000066400000000000000000000024201513600531200174270ustar00rootroot00000000000000import asyncio from throttler import ( ExecutionTimer, Throttler, ThrottlerSimultaneous, Timer, execution_timer, execution_timer_async, throttle, throttle_simultaneous, timer, timer_async, ) def sync_smoke(): with ExecutionTimer(0.01): with Timer("smoke"): pass @execution_timer(0.01) def run(): return "ok" @timer("smoke") def run_timer(): return "ok" assert run() == "ok" assert run_timer() == "ok" async def async_smoke(): throttler = Throttler(1, 0.01) async with throttler: pass throttler_simultaneous = ThrottlerSimultaneous(1) async with throttler_simultaneous: pass @throttle(1, 0.01) async def run(): return "ok" @throttle_simultaneous(1) async def run_simultaneous(): return "ok" @execution_timer_async(0.01) async def run_execution_timer(): return "ok" @timer_async("smoke") async def run_timer(): return "ok" assert await run() == "ok" assert await run_simultaneous() == "ok" assert await run_execution_timer() == "ok" assert await run_timer() == "ok" def main(): sync_smoke() asyncio.run(async_smoke()) if __name__ == "__main__": main() throttler-1.2.3/tests/test_execution_timer.py000066400000000000000000000054041513600531200215210ustar00rootroot00000000000000import os import time from math import isclose import pytest from throttler import ExecutionTimer, execution_timer, execution_timer_async # Weak machines may be used for CI, causing delays ABS_TOL = 0.2 if os.getenv("CI") else 0.1 class TestExecutionTimer: @pytest.mark.parametrize("period", (-1, 0, 0.0, "bad")) def test_invalid_period(self, period): with pytest.raises(ValueError): ExecutionTimer(period) @pytest.mark.parametrize(("period",), ((1.0,), (3.0,))) def test_without_align(self, period: float): @execution_timer(period) def t(): curr_ts = time.time() if i > 0: assert isclose(curr_ts - prev_ts, period, abs_tol=ABS_TOL) return curr_ts prev_ts = None for i in range(3): prev_ts = t() @pytest.mark.asyncio @pytest.mark.parametrize(("period",), ((1.0,), (3.0,))) async def test_without_align_via_async_decorator(self, period: float): @execution_timer(period) async def t(): curr_ts = time.time() if i > 0: assert isclose(curr_ts - prev_ts, period, abs_tol=ABS_TOL) return curr_ts prev_ts = None for i in range(3): prev_ts = await t() @pytest.mark.parametrize(("period",), ((3.0,), (5.0,))) def test_with_align(self, period: float): @execution_timer(period, align_sleep=True) def t(): curr_ts = time.time() if i > 0: assert isclose(curr_ts % period, 0.0, abs_tol=ABS_TOL) if i > 1: assert isclose(curr_ts - prev_ts, period, abs_tol=ABS_TOL) return curr_ts prev_ts = None for i in range(3): prev_ts = t() @pytest.mark.asyncio @pytest.mark.parametrize(("period",), ((1.0,), (3.0,))) async def test_without_align_async(self, period: float): @execution_timer_async(period) async def t(): curr_ts = time.time() if i > 0: assert isclose(curr_ts - prev_ts, period, abs_tol=ABS_TOL) return curr_ts prev_ts = None for i in range(3): prev_ts = await t() @pytest.mark.asyncio @pytest.mark.parametrize(("period",), ((3.0,), (5.0,))) async def test_with_align_async(self, period: float): @execution_timer_async(period, align_sleep=True) async def t(): curr_ts = time.time() if i > 0: assert isclose(curr_ts % period, 0.0, abs_tol=ABS_TOL) if i > 1: assert isclose(curr_ts - prev_ts, period, abs_tol=ABS_TOL) return curr_ts prev_ts = None for i in range(3): prev_ts = await t() throttler-1.2.3/tests/test_service.py000066400000000000000000000020571513600531200177570ustar00rootroot00000000000000import asyncio import pytest from tests.service import BanException, Service, ServiceSimultaneous class TestService: @pytest.mark.parametrize(("rate_limit", "period"), ((1, 0.5), (3, 1.0), (100, 1.5))) def test_service(self, rate_limit: int, period: float): s = Service(rate_limit, period) async def request(value: float): return await s.get(value) async def run(): await asyncio.gather( *[request(v) for v in range(int(rate_limit / period) + 100)] ) with pytest.raises(BanException): asyncio.run(run()) @pytest.mark.parametrize(("max_simultaneous",), ((1,), (3,), (100,))) def test_service_simultaneous(self, max_simultaneous: int): s = ServiceSimultaneous(max_simultaneous) async def request(value: float): return await s.get(value) async def run(): await asyncio.gather(*[request(v) for v in range(max_simultaneous + 100)]) with pytest.raises(BanException): asyncio.run(run()) throttler-1.2.3/tests/test_throttler.py000066400000000000000000000017461513600531200203520ustar00rootroot00000000000000import asyncio from itertools import product import pytest from tests.service import Service from throttler import throttle, Throttler class TestThrottler: @pytest.mark.parametrize( ("rate_limit", "period"), tuple(product((-1, 0, "", 1), (-1, -1.0, 0, 0.0, ""))) ) def test_exceptions(self, rate_limit: int, period: float): with pytest.raises(ValueError): Throttler(rate_limit, period) @pytest.mark.parametrize( ("rate_limit", "period", "count"), tuple(product((1, 3, 5), (0.5, 1.0, 1.5), (3, 5, 7))) + tuple(product((100, 1000), (0.5, 1.0, 1.5), (10, 1000))), ) def test_via_service(self, rate_limit: int, period: float, count: int): s = Service(rate_limit, period) @throttle(rate_limit, period) async def request(value: float): return await s.get(value) async def run(): await asyncio.gather(*[request(v) for v in range(count)]) asyncio.run(run()) throttler-1.2.3/tests/test_throttler_simultaneous.py000066400000000000000000000015171513600531200231560ustar00rootroot00000000000000import asyncio import pytest from tests.service import ServiceSimultaneous from throttler import ThrottlerSimultaneous, throttle_simultaneous class TestThrottlerSimultaneous: @pytest.mark.parametrize("count", (0, -1, -5)) def test_invalid_count(self, count: int): with pytest.raises(ValueError): ThrottlerSimultaneous(count) @pytest.mark.parametrize( ("max_simultaneous", "count"), ((1, 10), (3, 10), (100, 500)) ) def test_via_service_simultaneous(self, max_simultaneous: int, count: int): s = ServiceSimultaneous(max_simultaneous) @throttle_simultaneous(max_simultaneous) async def request(value: float): return await s.get(value) async def run(): await asyncio.gather(*[request(v) for v in range(count)]) asyncio.run(run()) throttler-1.2.3/tests/test_timer.py000066400000000000000000000017011513600531200174320ustar00rootroot00000000000000import time import pytest from throttler import timer, timer_async class TestTimer: @pytest.mark.parametrize(("verbose",), ((True,), (False,))) def test_simple(self, verbose: bool): @timer(name="TestTimer", verbose=verbose) def t(): print(time.time()) for _ in range(3): t() @pytest.mark.asyncio @pytest.mark.parametrize(("verbose",), ((True,), (False,))) async def test_simple_async(self, verbose: bool): @timer_async(name="TestTimer", verbose=verbose) async def t(): print(time.time()) for _ in range(3): await t() @pytest.mark.asyncio @pytest.mark.parametrize(("verbose",), ((True,), (False,))) async def test_timer_decorator_with_async_callable(self, verbose: bool): @timer(name="TestTimer", verbose=verbose) async def t(): print(time.time()) for _ in range(3): await t() throttler-1.2.3/throttler/000077500000000000000000000000001513600531200155675ustar00rootroot00000000000000throttler-1.2.3/throttler/__init__.py000066400000000000000000000007421513600531200177030ustar00rootroot00000000000000"""Zero-dependency Python package for easy throttling with asyncio support""" from .execution_timer import ExecutionTimer from .throttler import Throttler from .throttler_simultaneous import ThrottlerSimultaneous from .timer import Timer from .decorators import ( execution_timer, execution_timer_async, throttle, throttle_simultaneous, timer, timer_async, ) __author__ = "uburuntu" __email__ = "github@rmbk.me" __license__ = "MIT" __version__ = "1.2.3" throttler-1.2.3/throttler/decorators.py000066400000000000000000000077261513600531200203220ustar00rootroot00000000000000from functools import wraps from typing import Callable import inspect from .execution_timer import ExecutionTimer from .throttler import Throttler from .throttler_simultaneous import ThrottlerSimultaneous from .timer import Timer def throttle(rate_limit: int, period: float = 1.0): """ Decorator for limiting how often an async function can be entered. Args: rate_limit: Maximum number of calls per period. period: Time window in seconds. """ def decorator(func): throttler = Throttler(rate_limit, period) @wraps(func) async def wrapper(*args, **kwargs): async with throttler: return await func(*args, **kwargs) return wrapper return decorator def throttle_simultaneous(count: int): """ Decorator for limiting concurrent access to an async function. Args: count: Maximum number of simultaneous calls. """ def decorator(func): throttler = ThrottlerSimultaneous(count) @wraps(func) async def wrapper(*args, **kwargs): async with throttler: return await func(*args, **kwargs) return wrapper return decorator def execution_timer(period: float = 60.0, align_sleep: bool = False): """ Decorator that enforces a minimum period between function entries. This is not a rate limiter like Throttler. With align_sleep=True, it aligns to wall-clock boundaries (e.g. each minute). Supports both sync and async callables. """ def decorator(func): et = ExecutionTimer(period, align_sleep) if inspect.iscoroutinefunction(func): @wraps(func) async def wrapper(*args, **kwargs): async with et: return await func(*args, **kwargs) else: @wraps(func) def wrapper(*args, **kwargs): with et: return func(*args, **kwargs) return wrapper return decorator def execution_timer_async(period: float = 60.0, align_sleep: bool = False): """ Async decorator that enforces a minimum period between function entries. This is not a rate limiter like Throttler. With align_sleep=True, it aligns to wall-clock boundaries (e.g. each minute). Backwards compatibility note: execution_timer() now supports async callables. """ def decorator(func): et = ExecutionTimer(period, align_sleep) @wraps(func) async def wrapper(*args, **kwargs): async with et: return await func(*args, **kwargs) return wrapper return decorator def timer(name: str = None, verbose: bool = False, print_func: Callable = None): """ Decorator for printing elapsed timing information around a function. Elapsed timing uses a monotonic clock, while start/end timestamps are wall time. Supports both sync and async callables. """ def decorator(func): t = Timer(name, verbose, print_func) if inspect.iscoroutinefunction(func): @wraps(func) async def wrapper(*args, **kwargs): with t: return await func(*args, **kwargs) else: @wraps(func) def wrapper(*args, **kwargs): with t: return func(*args, **kwargs) return wrapper return decorator def timer_async(name: str = None, verbose: bool = False, print_func: Callable = None): """ Async decorator for printing elapsed timing information around a function. Elapsed timing uses a monotonic clock, while start/end timestamps are wall time. Backwards compatibility note: timer() now supports async callables. """ def decorator(func): t = Timer(name, verbose, print_func) @wraps(func) async def wrapper(*args, **kwargs): with t: return await func(*args, **kwargs) return wrapper return decorator throttler-1.2.3/throttler/execution_timer.py000066400000000000000000000036521513600531200213520ustar00rootroot00000000000000import asyncio import time class ExecutionTimer: """ Context manager that enforces a minimum period between entries by sleeping. This is not a rate limiter like Throttler. With align_sleep=True, it aligns to wall-clock boundaries (e.g. each minute). Example usage: - https://github.com/uburuntu/throttler/blob/master/examples/example_execution_timer.py """ __slots__ = ( "_period", "_align_sleep", "_start_time", "_next_time", "_start_wall", ) def __init__(self, period: float = 60.0, align_sleep: bool = False): if not (isinstance(period, (int, float)) and period > 0.0): raise ValueError("`period` should be positive float") self._period = float(period) self._align_sleep = align_sleep self._start_time = 0.0 self._next_time = 0.0 self._start_wall = 0.0 def _start(self): curr_time = time.monotonic() diff = self._next_time - curr_time return diff def _exit(self): if self._align_sleep: next_wall = self._start_wall + self._period next_wall -= self._start_wall % self._period wall_now = time.time() delay = max(0.0, next_wall - wall_now) self._next_time = time.monotonic() + delay else: self._next_time = self._start_time + self._period def __enter__(self): diff = self._start() if diff > 0.0: time.sleep(diff) self._start_time = time.monotonic() self._start_wall = time.time() def __exit__(self, exc_type, exc_val, exc_tb): self._exit() async def __aenter__(self): diff = self._start() if diff > 0.0: await asyncio.sleep(diff) self._start_time = time.monotonic() self._start_wall = time.time() async def __aexit__(self, exc_type, exc_val, exc_tb): self._exit() throttler-1.2.3/throttler/throttler.py000066400000000000000000000025261513600531200201750ustar00rootroot00000000000000import asyncio import time from collections import deque from typing import Union class Throttler: """ Async context manager that limits how often the block can be entered. Example usages: - https://github.com/uburuntu/throttler/blob/master/examples/example_throttlers.py - https://github.com/uburuntu/throttler/blob/master/examples/example_throttlers_aiohttp.py """ __slots__ = ( "_rate_limit", "_period", "_times", ) def __init__(self, rate_limit: int, period: Union[int, float] = 1.0): if not (isinstance(rate_limit, int) and rate_limit > 0): raise ValueError("`rate_limit` should be positive integer") if not (isinstance(period, (int, float)) and period > 0.0): raise ValueError("`period` should be positive float") self._rate_limit = float(rate_limit) self._period = float(period) self._times = deque(0.0 for _ in range(rate_limit)) async def __aenter__(self): while True: curr_ts = time.monotonic() diff = curr_ts - (self._times[0] + self._period) if diff > 0.0: self._times.popleft() break await asyncio.sleep(-diff) self._times.append(curr_ts) async def __aexit__(self, exc_type, exc_val, exc_tb): pass throttler-1.2.3/throttler/throttler_simultaneous.py000066400000000000000000000015411513600531200230010ustar00rootroot00000000000000import asyncio class ThrottlerSimultaneous: """ Async context manager that limits concurrent access to a block. Example usages: - https://github.com/uburuntu/throttler/blob/master/examples/example_throttlers.py - https://github.com/uburuntu/throttler/blob/master/examples/example_throttlers_aiohttp.py """ __slots__ = ("_count", "_semaphore") def __init__(self, count: int): if not (isinstance(count, int) and count > 0): raise ValueError("`count` should be positive integer") self._count = count self._semaphore = None async def __aenter__(self): if self._semaphore is None: self._semaphore = asyncio.Semaphore(self._count) await self._semaphore.acquire() async def __aexit__(self, exc_type, exc_val, exc_tb): self._semaphore.release() throttler-1.2.3/throttler/timer.py000066400000000000000000000030051513600531200172570ustar00rootroot00000000000000from datetime import datetime import time from typing import Callable class Timer: """ Context manager for printing start, end, elapsed and average times. Elapsed timing uses a monotonic clock, while start/end timestamps are wall time. Example usage: - https://github.com/uburuntu/throttler/blob/master/examples/example_timer.py """ def __init__( self, name: str = None, verbose: bool = False, print_func: Callable = None ): self.iteration = 1 self.start_dt = None self.start_perf = 0.0 self.elapsed_all = 0.0 self.name = name self.verbose = verbose self.print = print_func or print def __enter__(self): self.start_dt = datetime.now() self.start_perf = time.perf_counter() if self.verbose: self.print( f"{f'#{self.iteration}':>5} | {self.name or 'Timer'} | begin: {self.start_dt}" ) def __exit__(self, exc_type, exc_val, exc_tb): curr_dt = datetime.now() elapsed = time.perf_counter() - self.start_perf self.elapsed_all += elapsed average = self.elapsed_all / self.iteration if self.verbose: self.print( f"{f'#{self.iteration}':>5} | {self.name or 'Timer'} | end: {curr_dt}, elapsed: {elapsed:.2f} sec, " f"average: {average:.2f} sec\n" ) else: self.print(f"{self.name or 'Timer'} | elapsed: {elapsed:.2f} sec") self.iteration += 1 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