pax_global_header00006660000000000000000000000064151722073570014523gustar00rootroot0000000000000052 comment=ddcd53e85fb7200ee6490b48371924e24632cf41 JWCook-requests-ratelimiter-ddcd53e/000077500000000000000000000000001517220735700176245ustar00rootroot00000000000000JWCook-requests-ratelimiter-ddcd53e/.github/000077500000000000000000000000001517220735700211645ustar00rootroot00000000000000JWCook-requests-ratelimiter-ddcd53e/.github/dependabot.yml000066400000000000000000000006361517220735700240210ustar00rootroot00000000000000version: 2 updates: - package-ecosystem: "pip" directory: "/" schedule: interval: "monthly" time: "16:00" # Only create PRs for major and minor releases ignore: - dependency-name: "*" update-types: ["version-update:semver-patch"] - package-ecosystem: "github-actions" directory: "/" schedule: interval: "weekly" day: "saturday" time: "16:00" JWCook-requests-ratelimiter-ddcd53e/.github/workflows/000077500000000000000000000000001517220735700232215ustar00rootroot00000000000000JWCook-requests-ratelimiter-ddcd53e/.github/workflows/build.yml000066400000000000000000000033031517220735700250420ustar00rootroot00000000000000name: Build on: push: branches: [main] tags: ['v*'] pull_request: branches: [main] workflow_dispatch: env: LATEST_PY_VERSION: '3.14' COVERAGE_ARGS: '--cov --cov-report=term --cov-report=xml' XDIST_ARGS: '--numprocesses=auto' jobs: # Run unit tests for each supported python version test: runs-on: ubuntu-latest strategy: fail-fast: false matrix: python-version: ['3.15', '3.14', '3.13', '3.12', '3.11', '3.10'] steps: # Install dependencies, with caching - uses: actions/checkout@v6 - uses: astral-sh/setup-uv@v8.1.0 with: enable-cache: true cache-dependency-glob: uv.lock - name: Install dependencies run: | uv python install ${{ matrix.python-version }} uv sync --all-groups # Run tests with coverage report - name: Run tests run: uv run pytest -rs -vv ${{ env.XDIST_ARGS }} ${{ env.COVERAGE_ARGS }} # Latest python version: send coverage report to codecov - name: "Upload coverage report to Codecov" if: ${{ matrix.python-version == env.LATEST_PY_VERSION }} uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0 with: token: ${{ secrets.CODECOV_TOKEN }} slug: ${{ github.repository }} fail_ci_if_error: true # Run code analysis checks via pre-commit hooks analyze: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - uses: actions/setup-python@v6 with: python-version: ${{ env.LATEST_PY_VERSION }} - name: Run style checks & linting uses: j178/prek-action@cbc2f23eb5539cf20d82d1aabd0d0ecbcc56f4e3 # v2.0.2 JWCook-requests-ratelimiter-ddcd53e/.github/workflows/deploy.yml000066400000000000000000000030101517220735700252320ustar00rootroot00000000000000name: Deploy on: push: tags: ['v*'] workflow_dispatch: inputs: pre-release-suffix: description: 'Version suffix for pre-releases ("a", "b", "rc", etc.)' required: false default: 'dev' pre-release-version: description: 'Version number for pre-releases; defaults to build number' required: false default: '' jobs: # Deploy stable builds on tags only, and pre-release builds from manual trigger ("workflow_dispatch") release: runs-on: ubuntu-latest permissions: id-token: write steps: - uses: actions/checkout@v6 - uses: astral-sh/setup-uv@v8.1.0 - name: Install python run: uv python install 3.14 - name: Set pre-release version if: ${{ !startsWith(github.ref, 'refs/tags/v') }} env: pre-release-suffix: ${{ github.event.inputs.pre-release-suffix || 'dev' }} pre-release-version: ${{ github.event.inputs.pre-release-version || github.run_number }} run: | PKG_VERSION=$(uvx --from=toml-cli toml get --toml-path=pyproject.toml project.version) DEV_VERSION=$PKG_VERSION.${{ env.pre-release-suffix }}${{ env.pre-release-version }} echo "Setting pre-release version to $DEV_VERSION" uvx --from=toml-cli toml set --toml-path=pyproject.toml project.version $DEV_VERSION - name: Build package distributions run: uv build - name: Publish package distributions to PyPI uses: pypa/gh-action-pypi-publish@release/v1 JWCook-requests-ratelimiter-ddcd53e/.gitignore000066400000000000000000000021021517220735700216070ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$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/ .mypy_cache/ .pytest_cache/ test-reports/ # Translations *.mo *.pot # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # mypy .mypy_cache/ .dmypy.json dmypy.json # Editors .~* .idea/ .vim/ .vscode/ # Sphinx docs/_build/ docs/modules/ docs/requirements.txt JWCook-requests-ratelimiter-ddcd53e/.pre-commit-config.yaml000066400000000000000000000010321517220735700241010ustar00rootroot00000000000000repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v6.0.0 hooks: - id: check-toml - id: check-yaml - id: end-of-file-fixer - id: mixed-line-ending - id: trailing-whitespace - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.15.11 hooks: - id: ruff - id: ruff-format - repo: https://github.com/pre-commit/mirrors-mypy rev: v1.20.1 hooks: - id: mypy files: requests_ratelimiter additional_dependencies: [types-requests] JWCook-requests-ratelimiter-ddcd53e/.readthedocs.yml000066400000000000000000000007121517220735700227120ustar00rootroot00000000000000# Read the Docs configuration file version: 2 sphinx: builder: html configuration: docs/conf.py build: os: 'ubuntu-24.04' tools: python: '3.13' jobs: # Use uv to compile documentation dependencies post_create_environment: - python -m pip install uv - uv export -q --no-dev --group docs --no-emit-project -o docs/requirements.txt python: install: - method: pip path: . - requirements: docs/requirements.txt JWCook-requests-ratelimiter-ddcd53e/HISTORY.md000066400000000000000000000056031517220735700213130ustar00rootroot00000000000000# History ## 0.10.0 (2026-04-22) * Add `max_delay` parameter compatible with pyrate-limiter v4 (previously removed in 0.9) * Fix per-host rate-limiting for Redis and Postgres backends * If both `per_host=True` and a `bucket_name` is specified, use `bucket_name` as a bucket prefix * Add warning if a custom Limiter object is passed with `per_host=True` and no HostBucketFactory ## 0.9.3 (2026-04-02) * Fix bucket initialization for `RedisBucket` and `PostgresBucket` * Use built-in support for pickling `Limiter` from pyrate-limiter 4.1.0 ## 0.9.2 (2026-02-27) * Stop leaker thread when session closes * Add tests for python 3.15 ## 0.9.1 (2026-02-12) * Fix re-exported pyrate-limiter imports ## 0.9.0 (2026-02-09) * Migrate to pyrate-limiter v4 * ⚠️ If you are using pyrate-limiter features directly (via `Limiter` class or custom bucket classes), see its [release notes](https://github.com/vutran1710/PyrateLimiter/blob/master/CHANGELOG.md) for info on breaking changes. * ⚠️ Drop support for python 3.8 and 3.9 (required upstream) * ⚠️ Remove `max_delay` ## 0.8.0 (2026-01-03) * ⚠️ Drop support for python 3.7 * Add tests for python 3.13 and 3.14 * Convert packaging and project config to uv. This only affects development tasks, and does not library usage. ## 0.7.0 (2024-07-02) * Add pickling support for `LimiterSession` ## 0.6.0 (2024-02-29) * Add `bucket` param to specify bucket name when not using per-host rate limiting ## 0.5.1 (2023-01-29) * Fix simplifying fractional rate below specified interval ## 0.5.0 (2023-01-29) * Add support for floating point values for rate limits ## 0.4.2 (2023-09-27) * Update conda-forge package to restrict pyrate-limiter to <3.0 ## 0.4.1 (2023-07-24) * Add support for python 3.12 ## 0.4.0 (2022-09-27) * Drop support for python 3.6 * Add support for python 3.11 * Remove upper version constraint for `requests` ## 0.3.2 (2022-05-09) * Default to not using monotonic time if using a persistent backend (SQLite or Redis) ## 0.3.1 (2022-04-06) * Fix 429 response handling: if multiple rate limits are defined, fill bucket according to smallest rate limit * Default to not passing `bucket_name` argument to backend * Import main `pyrate_limiter` classes into top-level package ## 0.3.0 (2022-04-06) * Add handling for 429 responses * Add `limit_statuses` argument to define additional status codes that indicate a rate limit has been exceeded * Forward any valid superclass keyword args for `LimiterAdapter`, or if `LimiterMixin` is used to create a custom class ## 0.2.1 (2021-09-05) * Add shortcut arguments for most common rate limit intervals (`per_second`, etc.) * Add `max_delay` option to specify maximum delay time before raising an error ## 0.2.0 (2021-09-04) * Make `rates` a non-variable argument so it can work with a mixin superclass * Add API docs, Readme intro + examples, and Sphinx config for readthedocs.io ## 0.1.0 (2021-09-04) Initial PyPI release JWCook-requests-ratelimiter-ddcd53e/LICENSE000066400000000000000000000020541517220735700206320ustar00rootroot00000000000000MIT License Copyright (c) 2024 Jordan Cook 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. JWCook-requests-ratelimiter-ddcd53e/README.md000066400000000000000000000260351517220735700211110ustar00rootroot00000000000000# Requests-Ratelimiter [![Build status](https://github.com/JWCook/requests-ratelimiter/workflows/Build/badge.svg)](https://github.com/JWCook/requests-ratelimiter/actions) [![Codecov](https://codecov.io/gh/JWCook/requests-ratelimiter/branch/main/graph/badge.svg)](https://codecov.io/gh/JWCook/requests-ratelimiter) [![Documentation Status](https://img.shields.io/readthedocs/requests-ratelimiter/stable?label=docs)](https://requests-ratelimiter.readthedocs.io) [![PyPI](https://img.shields.io/pypi/v/requests-ratelimiter?color=blue)](https://pypi.org/project/requests-ratelimiter) [![Conda](https://img.shields.io/conda/vn/conda-forge/requests-ratelimiter?color=blue)](https://anaconda.org/conda-forge/requests-ratelimiter) [![PyPI - Python Versions](https://img.shields.io/pypi/pyversions/requests-ratelimiter)](https://pypi.org/project/requests-ratelimiter) [![PyPI - Format](https://img.shields.io/pypi/format/requests-ratelimiter?color=blue)](https://pypi.org/project/requests-ratelimiter) This package is a simple wrapper around [pyrate-limiter](https://github.com/vutran1710/PyrateLimiter) that adds convenient integration with the [requests](https://requests.readthedocs.io) library. Full project documentation can be found at [requests-ratelimiter.readthedocs.io](https://requests-ratelimiter.readthedocs.io). # Features * `pyrate-limiter` is a general-purpose rate-limiting library that implements the leaky bucket algorithm, supports multiple rate limits, and has optional persistence with SQLite and Redis backends * `requests-ratelimiter` adds some conveniences for sending rate-limited HTTP requests with the `requests` library * It can be used as either a [session](https://requests.readthedocs.io/en/latest/user/advanced/#session-objects) or a [transport adapter](https://requests.readthedocs.io/en/latest/user/advanced/#transport-adapters) * It can also be used as a mixin, for compatibility with other `requests`-based libraries * Rate limits are tracked separately per host * Different rate limits can optionally be applied to different hosts # Installation ``` pip install requests-ratelimiter ``` # Usage ## Usage Options There are three ways to use `requests-ratelimiter`: ### Session The simplest option is [`LimiterSession`](https://requests-ratelimiter.readthedocs.io/en/stable/reference.html#requests_ratelimiter.LimiterSession), which can be used as a drop-in replacement for [`requests.Session`](https://requests.readthedocs.io/en/latest/api/#requests.Session). Note: By default, each session will perform rate limiting independently. If you are using a multi-threaded environment or multiple processes, you should use a persistent backend like SQLite or Redis which can persist the rate limit across threads, processes, and/or application restarts. When using `requests-ratelimiter` as part of a web application, it is recommended to use a persistent backend to ensure that the rate limit is shared across all requests. Example: ```python from requests_ratelimiter import LimiterSession from time import time # Apply a rate limit of 5 requests per second to all requests session = LimiterSession(per_second=5) start = time() # Send requests that stay within the defined rate limit for i in range(20): response = session.get('https://httpbin.org/get') print(f'[t+{time()-start:.2f}] Sent request {i+1}') ``` Example output: ```bash [t+0.22] Sent request 1 [t+0.26] Sent request 2 [t+0.30] Sent request 3 [t+0.34] Sent request 4 [t+0.39] Sent request 5 [t+1.24] Sent request 6 [t+1.28] Sent request 7 [t+1.32] Sent request 8 [t+1.37] Sent request 9 [t+1.41] Sent request 10 [t+2.04] Sent request 11 ... ``` ### Adapter For more advanced usage, [`LimiterAdapter`](https://requests-ratelimiter.readthedocs.io/en/stable/reference.html#requests_ratelimiter.LimiterAdapter) is available to be used as a [transport adapter](https://requests.readthedocs.io/en/latest/user/advanced/#transport-adapters). Example: ```python from requests import Session from requests_ratelimiter import LimiterAdapter session = Session() # Apply a rate-limit (5 requests per second) to all requests adapter = LimiterAdapter(per_second=5) session.mount('http://', adapter) session.mount('https://', adapter) # Send rate-limited requests for user_id in range(100): response = session.get(f'https://api.some_site.com/v1/users/{user_id}') print(response.json()) ``` ### Mixin Finally, [`LimiterMixin`](https://requests-ratelimiter.readthedocs.io/en/stable/reference.html#requests_ratelimiter.LimiterMixin) is available for advanced use cases in which you want add rate-limiting features to a custom session or adapter class. See [Custom Session Example](#custom-session-example-requests-cache) below for an example. ## Rate Limit Settings ### Basic Settings The following parameters are available for the most common rate limit intervals: * `per_second`: Max requests per second * `per_minute`: Max requests per minute * `per_hour`: Max requests per hour * `per_day`: Max requests per day * `per_month`: Max requests per month * `burst`: Max number of consecutive requests allowed before applying per-second rate-limiting ### Advanced Settings If you need to define more complex rate limits, you can use `Limiter` directly. Note that it must be used with `HostBucketFactory` if you want per-host rate-limiting. ```python from pyrate_limiter import Duration, Rate, Limiter from requests_ratelimiter import LimiterSession, HostBucketFactory nanocentury_rate = Rate(10, Duration.SECOND * 3.156) fortnight_rate = Rate(1000, Duration.DAY * 14) trimonthly_rate = Rate(10000, Duration.DAY * 90) # This factory object is required for per-host rate-limiting factory = HostBucketFactory(rates=[nanocentury_rate, fortnight_rate, trimonthly_rate]) limiter = Limiter(factory) session = LimiterSession(limiter=limiter) ``` See [pyrate-limiter docs](https://pyratelimiter.readthedocs.io/en/latest/#basic-usage) for more `Limiter` usage details. ## Backends By default, rate limits are tracked in memory and are not persistent. You can optionally use either SQLite or Redis to persist rate limits across threads, processes, and/or application restarts. You can specify which backend to use with the `bucket_class` argument. For example, to use SQLite: ```python from pyrate_limiter import SQLiteBucket from requests_ratelimiter import LimiterSession session = LimiterSession(per_second=5, bucket_class=SQLiteBucket) ``` See [pyrate-limiter docs](https://pyratelimiter.readthedocs.io/en/latest/#backends) for more details. ## Other Features ### Per-Host Rate Limit Tracking With either `LimiterSession` or `LimiterAdapter`, rate limits are tracked separately for each host. In other words, requests sent to one host will not count against the rate limit for any other hosts: ```python session = LimiterSession(per_second=5) # Make requests for two different hosts for _ in range(10): response = session.get(f'https://httpbin.org/get') print(response.json()) session.get(f'https://httpbingo.org/get') print(response.json()) ``` If you have a case where multiple hosts share the same rate limit, you can disable this behavior with the `per_host` option: ```python session = LimiterSession(per_second=5, per_host=False) ``` ### Per-Host Rate Limit Definitions With `LimiterAdapter`, you can apply different rate limits to different hosts or URLs: ```python # Apply a different set of rate limits (2/second and 100/minute) to a specific host adapter_2 = LimiterAdapter(per_second=2, per_minute=100) session.mount('https://api.some_site.com', adapter_2) ``` Behavior for matching requests is the same as other transport adapters: `requests` will use the adapter with the most specific (i.e., longest) URL prefix that matches a given request. For example: ```python session.mount('https://api.some_site.com/v1', adapter_3) session.mount('https://api.some_site.com/v1/users', adapter_4) # This request will use adapter_3 session.get('https://api.some_site.com/v1/') # This request will use adapter_4 session.get('https://api.some_site.com/v1/users/1234') ``` ### Custom Tracking For advanced use cases, you can define your own custom tracking behavior with the `bucket` option. For example, an API that enforces rate limits based on a tenant ID, this feature can be used to track rate limits per tenant. If `bucket` is specified, host tracking is disabled. Note: It is advisable to use SQLite or Redis backends when using custom tracking because using the default backend each session will track rate limits independently, even if both sessions call the same URL. ```python sessionA = LimiterSession(per_second=5, bucket='tenant1') sessionB = LimiterSession(per_second=5, bucket='tenant2') ``` ### Rate Limit Error Handling Sometimes, server-side rate limiting may not behave exactly as documented (or may not be documented at all). Or you might encounter other scenarios where your client-side limit gets out of sync with the server-side limit. Typically, a server will send a `429: Too Many Requests` response for an exceeded rate limit. When this happens, `requests-ratelimiter` will adjust its request log in an attempt to catch up to the server-side limit. If a server sends a different status code other than 429 to indicate an exceeded limit, you can set this with `limit_statuses`: ```python session = LimiterSession(per_second=5, limit_statuses=[429, 500]) ``` Or if you would prefer to disable this behavior and handle it yourself: ```python session = LimiterSession(per_second=5, limit_statuses=[]) ``` # Compatibility There are many other useful libraries out there that add features to `requests`, most commonly by extending or modifying [requests.Session](https://requests.readthedocs.io/en/latest/api/#requests.Session) or [requests.HTTPAdapter](https://requests.readthedocs.io/en/latest/api/#requests.adapters.HTTPAdapter). To use `requests-ratelimiter` with one of these libraries, you have a few different options: 1. If the library provides a custom `Session` class, mount a `LimiterAdapter` on it 2. Or use `LimiterMixin` to create a custom `Session` class with features from both libraries 3. If the library provides a custom `Adapter` class, use `LimiterMixin` to create a custom `Adapter` class with features from both libraries ## Custom Session Example: Requests-Cache For example, to combine with [requests-cache](https://github.com/requests-cache/requests-cache), which also includes a separate mixin class: ```python from requests import Session from requests_cache import CacheMixin from requests_ratelimiter import LimiterMixin, SQLiteBucket class CachedLimiterSession(CacheMixin, LimiterMixin, Session): """ Session class with caching and rate-limiting behavior. Accepts arguments for both LimiterSession and CachedSession. """ # Optionally use SQLite as both the bucket backend and the cache backend session = CachedLimiterSession( per_second=5, cache_name='cache.db', bucket_class=SQLiteBucket, bucket_kwargs={ "path": "cache.db", 'isolation_level': "EXCLUSIVE", 'check_same_thread': False, }, ) ``` This example has an extra benefit: cache hits won't count against your rate limit! 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" & ,_,0000+07_/// / /////!/%/)/-/1/5/9/=/A/E/I/M/Q/U/Y/]/a/e/i/m/q/u/y/}////////////////////////////////00\AW U*JWCook-requests-ratelimiter-ddcd53e/pyproject.toml000066400000000000000000000045311517220735700225430ustar00rootroot00000000000000[project] name = 'requests-ratelimiter' version = '0.10.0' description = 'Rate-limiting for the requests library' authors = [{name = 'Jordan Cook'}] license = 'MIT' readme = 'README.md' keywords = ['requests', 'rate-limiting', 'leaky-bucket'] classifiers = [ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'Programming Language :: Python :: 3', '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', 'Programming Language :: Python :: 3.15', 'Typing :: Typed', ] requires-python = '>=3.10' dependencies = [ 'pyrate-limiter >=4.1,<5', 'requests >=2.20', ] [project.urls] homepage = 'https://github.com/JWCook/requests-ratelimiter' repository = 'https://github.com/JWCook/requests-ratelimiter' documentation = 'https://requests-ratelimiter.readthedocs.io' [dependency-groups] dev = [ 'coverage >=7.6', 'pre-commit >=3.0', 'pytest >=8.3', 'pytest-cov >=4.0', 'pytest-xdist >=3.1', 'requests-mock >=1.11', 'requests-cache >=1.2', ] docs = [ 'furo >=2025.12', 'myst-parser >=3.0', 'sphinx >=7.0', 'sphinx-autodoc-typehints >=2.5', 'sphinx-copybutton >=0.5', ] [build-system] requires = ['hatchling'] build-backend = 'hatchling.build' [tool.hatch.build.targets.sdist] include = [ '/requests_ratelimiter', '/test', '/README.md', ] [tool.coverage.run] branch = true source = ['requests_ratelimiter'] [tool.coverage.html] directory = 'test-reports' [tool.coverage.xml] output = 'test-reports/coverage.xml' [tool.mypy] ignore_missing_imports = true [tool.pytest.ini_options] markers = [ 'integration: marks tests that run against a local HTTP server (deselect with -m "not integration")', ] [tool.ruff] fix = true unsafe-fixes = true line-length = 100 output-format = 'grouped' target-version = 'py38' [tool.ruff.format] quote-style = 'single' [tool.ruff.lint] select = ['B', 'C4', 'C90', 'E', 'F'] ignore = ['B023'] [tool.ruff.lint.isort] known-first-party = ['test'] # Wrap lines to 100 chars, but don't error on unwrappable lines until 120 chars [tool.ruff.lint.pycodestyle] max-line-length = 120 JWCook-requests-ratelimiter-ddcd53e/requests_ratelimiter/000077500000000000000000000000001517220735700241005ustar00rootroot00000000000000JWCook-requests-ratelimiter-ddcd53e/requests_ratelimiter/__init__.py000066400000000000000000000010441517220735700262100ustar00rootroot00000000000000# ruff: noqa: F401,F403,F405 from pyrate_limiter import * from .requests_ratelimiter import * __all__ = [ # requests-ratelimiter main classes 'LimiterAdapter', 'LimiterMixin', 'LimiterSession', 'HostBucketFactory', # pyrate-limiter main classes 'Limiter', 'Duration', 'Rate', 'RateItem', # pyrate-limiter bucket backends 'AbstractBucket', 'BucketFactory', 'SingleBucketFactory', 'InMemoryBucket', 'MultiprocessBucket', 'PostgresBucket', 'RedisBucket', 'SQLiteBucket', ] JWCook-requests-ratelimiter-ddcd53e/requests_ratelimiter/buckets.py000066400000000000000000000073341517220735700261210ustar00rootroot00000000000000import re from typing import Dict, Optional, Type from pyrate_limiter import InMemoryBucket, PostgresBucket, Rate, RedisBucket, SQLiteBucket from pyrate_limiter.abstracts import AbstractBucket, BucketFactory, RateItem class HostBucketFactory(BucketFactory): """Creates buckets for rate limiting, optionally with one per host""" def __init__( self, rates: list[Rate], bucket_class: Type[AbstractBucket] = InMemoryBucket, bucket_init_kwargs: Optional[Dict] = None, bucket_name: Optional[str] = None, ): self.rates = rates self.bucket_class = bucket_class self.bucket_init_kwargs = bucket_init_kwargs or {} self.bucket_name = bucket_name self.buckets: Dict[str, AbstractBucket] = {} self.leak_interval = 300 # 300ms leak interval def wrap_item(self, name: str, weight: int = 1) -> RateItem: """Create a RateItem with current timestamp from the appropriate bucket's clock""" # Get or create bucket to access its time source temp_item = RateItem(name, 0, weight) bucket = self.get(temp_item) now = bucket.now() return RateItem(name, now, weight=weight) def get(self, item: RateItem) -> AbstractBucket: """Get or create a bucket for the given item name""" if item.name not in self.buckets: # Create new bucket for this name bucket = self._create_bucket(item.name) self.schedule_leak(bucket) self.buckets[item.name] = bucket return self.buckets[item.name] def _create_bucket(self, name: str) -> AbstractBucket: """Create a new bucket instance, and handle per-host naming for each supported backend""" if self.bucket_class == InMemoryBucket: return InMemoryBucket(self.rates) elif self.bucket_class == SQLiteBucket: kwargs = prepare_sqlite_kwargs(self.bucket_init_kwargs, name) return SQLiteBucket.init_from_file(rates=self.rates, **kwargs) elif self.bucket_class == RedisBucket: kwargs = self.bucket_init_kwargs.copy() redis = kwargs.pop('redis') bucket_key = kwargs.pop('bucket_key', _sanitize_name(name)) return RedisBucket.init(rates=self.rates, redis=redis, bucket_key=bucket_key, **kwargs) elif self.bucket_class == PostgresBucket: kwargs = self.bucket_init_kwargs.copy() pool = kwargs.pop('pool') table = kwargs.pop('table', _sanitize_name(name)) return PostgresBucket(pool=pool, table=table, rates=self.rates) else: return self.bucket_class(self.rates, **self.bucket_init_kwargs) def __getitem__(self, name: str) -> AbstractBucket: """Dict-like access for backward compatibility with _fill_bucket() method""" if name not in self.buckets: temp_item = RateItem(name, 0, 1) return self.get(temp_item) return self.buckets[name] def prepare_sqlite_kwargs(bucket_kwargs: Dict, bucket_name: Optional[str] = None) -> Dict: kwargs = bucket_kwargs.copy() if 'path' in kwargs: kwargs['db_path'] = str(kwargs.pop('path')) # If bucket_name is specified, use it as the table name to ensure separation # This allows multiple sessions with different bucket_names to share a db file if bucket_name and 'table' not in kwargs: kwargs['table'] = f'bucket_{_sanitize_name(bucket_name)}' # Filter to only supported parameters for SQLiteBucket.init_from_file supported_params = {'table', 'db_path', 'create_new_table', 'use_file_lock'} return {k: v for k, v in kwargs.items() if k in supported_params} def _sanitize_name(name: str) -> str: return re.sub(r'[^a-zA-Z0-9_]', '_', name) JWCook-requests-ratelimiter-ddcd53e/requests_ratelimiter/py.typed000066400000000000000000000000251517220735700255740ustar00rootroot00000000000000# Marker for PEP 561 JWCook-requests-ratelimiter-ddcd53e/requests_ratelimiter/requests_ratelimiter.py000066400000000000000000000244741517220735700307410ustar00rootroot00000000000000from fractions import Fraction from inspect import signature from logging import getLogger from typing import TYPE_CHECKING, Callable, Dict, Iterable, Optional, Type from urllib.parse import urlparse from uuid import uuid4 from pyrate_limiter import Duration, InMemoryBucket, Limiter, Rate from pyrate_limiter.abstracts import AbstractBucket, RateItem from requests import PreparedRequest, Response, Session, exceptions from requests.adapters import HTTPAdapter from .buckets import HostBucketFactory if TYPE_CHECKING: MIXIN_BASE = Session else: MIXIN_BASE = object logger = getLogger(__name__) class LimiterMixin(MIXIN_BASE): """Mixin class that adds rate-limiting behavior to requests. See :py:class:`.LimiterSession` for parameter details. """ def __init__( self, per_second: float = 0, per_minute: float = 0, per_hour: float = 0, per_day: float = 0, per_month: float = 0, burst: float = 1, bucket_class: Type[AbstractBucket] = InMemoryBucket, bucket_kwargs: Optional[Dict] = None, time_function: Optional[Callable[..., float]] = None, limiter: Optional[Limiter] = None, per_host: bool = True, max_delay: Optional[float] = None, limit_statuses: Iterable[int] = (429,), bucket_name: Optional[str] = None, **kwargs, ): # Translate request rate values into Rate objects (using millisecond intervals) rates = [ _convert_rate(limit, interval) for interval, limit in { int(Duration.SECOND * burst): per_second * burst, int(Duration.MINUTE): per_minute, int(Duration.HOUR): per_hour, int(Duration.DAY): per_day, int(Duration.DAY * 30): per_month, }.items() if limit ] if rates and not limiter: logger.debug( 'Creating Limiter with rates:\n%s', '\n'.join([f'{r.limit}/{r.interval}ms' for r in rates]), ) bucket_kwargs = bucket_kwargs or {} if limiter: self.limiter = limiter self._custom_limiter = True if per_host and not isinstance(limiter.bucket_factory, HostBucketFactory): logger.warning( 'Custom limiter does not use HostBucketFactory; per-host rate limiting will ' 'not work. Use HostBucketFactory to enable per-host rate limiting.' ) else: factory = HostBucketFactory( rates=rates, bucket_class=bucket_class, bucket_init_kwargs=bucket_kwargs, bucket_name=bucket_name, ) self.limiter = Limiter(factory, buffer_ms=50) self._custom_limiter = False self.max_delay = max_delay self.limit_statuses = limit_statuses self.per_host = per_host self.bucket_name = bucket_name self._default_bucket = str(uuid4()) # If the superclass is an adapter or custom Session, pass along any valid keyword arguments session_kwargs = _get_valid_kwargs(super().__init__, kwargs) super().__init__(**session_kwargs) # type: ignore # Base Session doesn't take any kwargs # Conveniently, both Session.send() and HTTPAdapter.send() have a mostly consistent signature def send(self, request: PreparedRequest, **kwargs) -> Response: """Send a request with rate-limiting.""" bucket_name = self._bucket_name(request) timeout = self.max_delay if self.max_delay is not None else -1 acquired = self.limiter.try_acquire(bucket_name, weight=1, blocking=True, timeout=timeout) if not acquired: raise exceptions.Timeout(f'Rate limit not cleared within max_delay={self.max_delay}s') response = super().send(request, **kwargs) if response.status_code in self.limit_statuses: self._fill_bucket(request) return response def _bucket_name(self, request): """Get a bucket name for the given request""" if self.per_host: host = urlparse(request.url).netloc return f'{self.bucket_name}:{host}' if self.bucket_name else host elif self.bucket_name: return self.bucket_name else: return self._default_bucket def _fill_bucket(self, request: PreparedRequest): """Partially fill the bucket for the given request, requiring an extra delay until the next request. This is essentially an attempt to catch up to the actual (server-side) limit if we've gotten out of sync. If the server tracks multiple limits, there's no way to know which specific limit was exceeded, so the smallest rate will be used. For example, if the server allows 60 requests per minute, and we've tracked only 40 requests but received a 429 response, 20 additional "filler" requests will be added to the bucket to attempt to catch up to the server-side limit. If the server also has an hourly limit, we don't have enough information to know if we've exceeded that limit or how long to delay, so we'll keep delaying in 1-minute intervals. """ logger.info(f'Rate limit exceeded for {request.url}; filling limiter bucket') bucket_name = self._bucket_name(request) # Access bucket through factory (supports dict-like access) or single bucket mode if hasattr(self.limiter.bucket_factory, '__getitem__'): bucket = self.limiter.bucket_factory[bucket_name] else: buckets = self.limiter.buckets() bucket = buckets[0] if buckets else None if not bucket: logger.warning('No buckets available to fill') return now = bucket.now() # Use smallest rate interval (first after sorting) rate = sorted(bucket.rates, key=lambda r: r.interval)[0] # Add filler items to saturate the smallest rate limit # This ensures we delay before the next request for _ in range(rate.limit): filler_item = RateItem(bucket_name, now, weight=1) bucket.put(filler_item) def close(self) -> None: """Close the session or adapter and release all rate-limiter resources. Calls the parent ``close()`` to tear down connection pools, then stops the background ``Leaker`` thread owned by the internal :class:`~pyrate_limiter.BucketFactory`. The thread is only stopped when the limiter was created internally (i.e. via the ``per_second`` / ``per_minute`` / … parameters); if a custom :class:`~pyrate_limiter.Limiter` was supplied by the caller its lifecycle is the caller's responsibility. """ super().close() if not self._custom_limiter: self.limiter.bucket_factory.close() class LimiterSession(LimiterMixin, Session): """`Session `_ that adds rate-limiting behavior to requests. The following parameters also apply to :py:class:`.LimiterMixin` and :py:class:`.LimiterAdapter`. .. note:: The ``per_*`` params are aliases for the most common rate limit intervals; for more complex rate limits, you can provide a :py:class:`~pyrate_limiter.limiter.Limiter` object instead. Args: per_second: Max requests per second per_minute: Max requests per minute per_hour: Max requests per hour per_day: Max requests per day per_month: Max requests per month burst: Max number of consecutive requests allowed before applying per-second rate-limiting bucket_class: Bucket backend class; may be one of :py:class:`~pyrate_limiter.buckets.in_memory_bucket.InMemoryBucket` (default), :py:class:`~pyrate_limiter.buckets.sqlite_bucket.SQLiteBucket`, or :py:class:`~pyrate_limiter.buckets.redis_bucket.RedisBucket` bucket_kwargs: Bucket backend keyword arguments limiter: An existing Limiter object to use instead of the above params limit_statuses: Alternative HTTP status codes that indicate a rate limit was exceeded per_host: Track request rate limits separately for each host max_delay: Maximum time (in seconds) to wait for a rate-limited request. If the rate limit is not cleared within this time, raises :py:exc:`requests.exceptions.Timeout`. ``None`` = wait indefinitely. bucket_name: Override default bucket name. In per-host mode, this sets the bucket prefix. """ __attrs__ = Session.__attrs__ + [ 'limiter', 'limit_statuses', 'max_delay', 'per_host', 'bucket_name', '_default_bucket', '_custom_limiter', ] class LimiterAdapter(LimiterMixin, HTTPAdapter): # type: ignore # send signature accepts **kwargs """`Transport adapter `_ that adds rate-limiting behavior to requests. See :py:class:`.LimiterSession` for parameter details. """ def _convert_rate(limit: float, interval: float) -> Rate: """Handle fractional rate limits by converting to a whole number of requests per interval Args: limit: Number of requests allowed interval: Time interval in milliseconds (from Duration enum values) """ limit_fraction = Fraction(limit).limit_denominator(1000) converted_limit = limit_fraction.numerator converted_interval = interval * limit_fraction.denominator # Handle fractional intervals (Rate requires integer interval): e.g., 1 req/0.5ms -> 2 req/1ms if converted_interval < 1: interval_fraction = Fraction(converted_interval).limit_denominator(1000) converted_limit = converted_limit * interval_fraction.denominator converted_interval = converted_interval * interval_fraction.denominator # Ensure interval is at least 1ms (Rate requires interval > 0) return Rate(converted_limit, max(1, int(converted_interval))) def _get_valid_kwargs(func: Callable, kwargs: Dict) -> Dict: """Get the subset of non-None ``kwargs`` that are valid params for ``func``""" sig_params = list(signature(func).parameters) return {k: v for k, v in kwargs.items() if k in sig_params and v is not None} JWCook-requests-ratelimiter-ddcd53e/test/000077500000000000000000000000001517220735700206035ustar00rootroot00000000000000JWCook-requests-ratelimiter-ddcd53e/test/__init__.py000066400000000000000000000000001517220735700227020ustar00rootroot00000000000000JWCook-requests-ratelimiter-ddcd53e/test/conftest.py000066400000000000000000000053241517220735700230060ustar00rootroot00000000000000from collections.abc import Generator from logging import basicConfig, getLogger from unittest.mock import patch import pytest from requests import Session from requests.adapters import HTTPAdapter from requests_mock import ANY as ANY_METHOD from requests_mock import Adapter from requests_ratelimiter import LimiterAdapter, LimiterSession MOCK_PROTOCOLS = ['mock://', 'http+mock://', 'https+mock://'] MOCKED_URL = 'http+mock://requests-ratelimiter.com/text' MOCKED_URL_ALT_HOST = 'http+mock://requests-ratelimiter-2.com/text' MOCKED_URL_429 = 'http+mock://requests-ratelimiter.com/429' MOCKED_URL_500 = 'http+mock://requests-ratelimiter.com/500' SQLITE_BUCKET_KWARGS = { 'isolation_level': 'EXCLUSIVE', 'check_same_thread': False, } # Configure logging to show log output when tests fail (or with pytest -s) basicConfig(level='INFO') getLogger('requests_ratelimiter').setLevel('DEBUG') def get_mock_session(**kwargs) -> LimiterSession: """Get a LimiterSession with some URLs mocked by default""" session = LimiterSession(**kwargs) session = mount_mock_adapter(session) return session def mount_mock_adapter(session: LimiterSession) -> LimiterSession: adapter = get_mock_adapter() for protocol in MOCK_PROTOCOLS: session.mount(protocol, adapter) session.mock_adapter = adapter # type: ignore return session def get_mock_adapter() -> Adapter: """Get a requests-mock Adapter with some URLs mocked by default""" adapter = Adapter() adapter.register_uri( ANY_METHOD, MOCKED_URL, headers={'Content-Type': 'text/plain'}, text='mock response', status_code=200, ) adapter.register_uri( ANY_METHOD, MOCKED_URL_ALT_HOST, headers={'Content-Type': 'text/plain'}, text='mock response', status_code=200, ) adapter.register_uri(ANY_METHOD, MOCKED_URL_429, status_code=429) adapter.register_uri(ANY_METHOD, MOCKED_URL_500, status_code=500) return adapter @pytest.fixture def limiter_adapter_session() -> Generator[tuple[Session, LimiterAdapter], None, None]: """Yield a (session, adapter) pair with LimiterAdapter mounted and HTTPAdapter.send patched. LimiterAdapter calls super().send() → HTTPAdapter.send() directly, bypassing session-level adapter routing, so Strategy A (mounting a mock transport adapter) cannot intercept those calls. This fixture patches HTTPAdapter.send for the duration of the test instead. """ mock_adapter = get_mock_adapter() with patch.object(HTTPAdapter, 'send', side_effect=mock_adapter.send): session = Session() adapter = LimiterAdapter(per_second=5) session.mount('http+mock://', adapter) yield session, adapter JWCook-requests-ratelimiter-ddcd53e/test/test_buckets.py000066400000000000000000000101411517220735700236510ustar00rootroot00000000000000from unittest.mock import MagicMock, patch import pytest from pyrate_limiter import InMemoryBucket, PostgresBucket, Rate, RedisBucket from requests_ratelimiter.buckets import HostBucketFactory, prepare_sqlite_kwargs def test_in_memory_bucket_creation(): factory = HostBucketFactory(rates=[Rate(5, 1000)]) item = factory.wrap_item('test_host') factory.get(item) assert 'test_host' in factory.buckets def test_getitem_creates_bucket_on_demand(): factory = HostBucketFactory(rates=[Rate(5, 1000)]) factory['new_host'] assert 'new_host' in factory.buckets def test_getitem_returns_existing_bucket(): factory = HostBucketFactory(rates=[Rate(5, 1000)]) item = factory.wrap_item('existing_host') bucket1 = factory.get(item) bucket2 = factory['existing_host'] assert bucket1 is bucket2 def test_wrap_item_uses_bucket_clock(): factory = HostBucketFactory(rates=[Rate(5, 1000)]) item = factory.wrap_item('test_host') assert item.name == 'test_host' assert item.weight == 1 assert item.timestamp > 0 def test_wrap_item_custom_weight(): factory = HostBucketFactory(rates=[Rate(5, 1000)]) item = factory.wrap_item('test_host', weight=3) assert item.weight == 3 def test_separate_buckets_per_name(): factory = HostBucketFactory(rates=[Rate(5, 1000)]) item_a = factory.wrap_item('host_a') item_b = factory.wrap_item('host_b') bucket_a = factory.get(item_a) bucket_b = factory.get(item_b) assert bucket_a is not bucket_b assert len(factory.buckets) == 2 @pytest.mark.parametrize( 'extra_init_kwargs, identity, expected_key', [ ({}, 'api.example.com', 'api_example_com'), ({'bucket_key': 'override'}, 'api.example.com', 'override'), ({}, 'myapp:api.example.com', 'myapp_api_example_com'), ], ) def test_redis_bucket(extra_init_kwargs, identity, expected_key): mock_redis = MagicMock() mock_redis.script_load.return_value = 'fake_sha1' factory = HostBucketFactory( rates=[Rate(5, 1000)], bucket_class=RedisBucket, bucket_init_kwargs={'redis': mock_redis, **extra_init_kwargs}, ) with patch.object(RedisBucket, 'init', wraps=RedisBucket.init) as mock_init: factory._create_bucket(identity) mock_init.assert_called_once_with( rates=factory.rates, redis=mock_redis, bucket_key=expected_key ) def _postgres_init_stub(self, pool, table, rates): self.rates = rates self.failing_rate = None @pytest.mark.parametrize( 'extra_init_kwargs, identity, expected_table', [ ({}, 'api.example.com', 'api_example_com'), ({'table': 'override'}, 'api.example.com', 'override'), ({}, 'myapp:api.example.com', 'myapp_api_example_com'), ], ) def test_postgres_bucket(extra_init_kwargs, identity, expected_table): mock_pool = MagicMock() factory = HostBucketFactory( rates=[Rate(5, 1000)], bucket_class=PostgresBucket, bucket_init_kwargs={'pool': mock_pool, **extra_init_kwargs}, ) with patch.object( PostgresBucket, '__init__', autospec=True, return_value=None, side_effect=_postgres_init_stub, ) as mock_init: factory._create_bucket(identity) _, kwargs = mock_init.call_args assert kwargs == {'pool': mock_pool, 'table': expected_table, 'rates': factory.rates} def test_generic_bucket_creation(): class CustomBucket(InMemoryBucket): pass factory = HostBucketFactory( rates=[Rate(5, 1000)], bucket_class=CustomBucket, ) bucket = factory._create_bucket('test_host') assert isinstance(bucket, CustomBucket) @pytest.mark.parametrize( 'kwargs, bucket_name, expected', [ ({'path': '/tmp/x.db'}, None, {'db_path': '/tmp/x.db'}), ({}, 'mybucket', {'table': 'bucket_mybucket'}), ({'path': '/tmp/x.db', 'unknown_key': 'val'}, None, {'db_path': '/tmp/x.db'}), ({'table': 'custom'}, 'mybucket', {'table': 'custom'}), ], ) def test_prepare_sqlite_kwargs(kwargs, bucket_name, expected): result = prepare_sqlite_kwargs(kwargs, bucket_name) assert result == expected JWCook-requests-ratelimiter-ddcd53e/test/test_exports.py000066400000000000000000000003001517220735700237110ustar00rootroot00000000000000import requests_ratelimiter def test_exports(): for name in requests_ratelimiter.__all__: assert hasattr(requests_ratelimiter, name), f'{name} not found in requests_ratelimiter' JWCook-requests-ratelimiter-ddcd53e/test/test_integration.py000066400000000000000000000125711517220735700245450ustar00rootroot00000000000000""" Integration tests for LimiterSession rate-limiting behavior, run against a local HTTP server """ import itertools import threading import time from collections import deque from http.server import BaseHTTPRequestHandler, HTTPServer import pytest from requests_ratelimiter import LimiterSession class _RateLimitServer(HTTPServer): """HTTPServer that enforces a 1 req/sec sliding-window rate limit.""" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._lock = threading.Lock() self._timestamps: deque[float] = deque() class _RateLimitHandler(BaseHTTPRequestHandler): server: _RateLimitServer def log_message(self, format: str, *args) -> None: ... def do_GET(self) -> None: now = time.monotonic() with self.server._lock: # Drop timestamps outside the 1-second sliding window while self.server._timestamps and now - self.server._timestamps[0] > 1.0: self.server._timestamps.popleft() if self.server._timestamps: self.send_response(429) self.end_headers() return self.server._timestamps.append(now) self.send_response(200) self.end_headers() def _start_rate_limit_server() -> tuple[_RateLimitServer, str]: """Start a local HTTP server that enforces 1 req/sec; return (server, base_url).""" server = _RateLimitServer(('127.0.0.1', 0), _RateLimitHandler) threading.Thread(target=server.serve_forever, daemon=True).start() host, port = server.server_address return server, f'http://{host}:{port}/' @pytest.fixture def rate_limit_server(): """Start a local HTTP server that enforces 1 req/sec and yield the base URL.""" server, url = _start_rate_limit_server() yield url server.shutdown() @pytest.fixture def rate_limit_servers(): """Start two independent rate-limiting servers and yield their base URLs.""" servers = [_start_rate_limit_server() for _ in range(2)] yield [url for _, url in servers] for server, _ in servers: server.shutdown() @pytest.mark.integration def test_ratelimit__respects_limit(rate_limit_server): """Client should self-throttle so that all requests succeed (no 429s received). With per_second=1 and burst=1, the client waits ~1 second between requests, so 3 sequential requests should take at least 2 seconds total. """ session = LimiterSession(per_second=1, burst=1) start = time.monotonic() statuses = [session.get(rate_limit_server).status_code for _ in range(3)] elapsed = time.monotonic() - start assert statuses == [200, 200, 200], f'Expected all 200s, got: {statuses}' assert elapsed >= 2.0, f'Expected >= 2s for 3 requests at 1/s, got: {elapsed:.2f}s' @pytest.mark.integration def test_ratelimit__server_returns_429(rate_limit_server): """When the client bypasses rate-limiting, the server should return 429 responses""" session = LimiterSession(per_second=1000, burst=1000, limit_statuses=[]) statuses = [session.get(rate_limit_server).status_code for _ in range(3)] assert statuses[0] == 200, f'Expected first request to succeed, got: {statuses[0]}' assert 429 in statuses, f'Expected at least one 429, got: {statuses}' @pytest.mark.integration def test_ratelimit__fill_bucket_on_429(rate_limit_server): """A 429 response should trigger bucket-filling, delaying the next request""" session = LimiterSession(per_second=5, burst=5) start = time.monotonic() statuses = [session.get(rate_limit_server).status_code for _ in range(3)] elapsed = time.monotonic() - start assert statuses[0] == 200, f'Expected first request to succeed, got: {statuses[0]}' assert statuses[1] == 429, f'Expected second request to get 429, got: {statuses[1]}' assert elapsed >= 1.0, f'Expected >= 1s delay after 429 (bucket-filling), got: {elapsed:.2f}s' @pytest.mark.integration def test_ratelimit__per_host_isolation(rate_limit_servers): """With per_host=True (default), each host has its own bucket""" url1, url2 = rate_limit_servers session = LimiterSession(per_second=1, burst=1, per_host=True) # Alternate between the two hosts; neither bucket should fill up start = time.monotonic() statuses = [ session.get(url).status_code for url in itertools.islice(itertools.cycle([url1, url2]), 4) ] elapsed = time.monotonic() - start assert statuses == [200, 200, 200, 200], f'Expected all 200s, got: {statuses}' # With isolated buckets, 4 alternating requests should complete well under 2s assert elapsed < 2.0, f'Expected < 2s with per-host isolation, got: {elapsed:.2f}s' @pytest.mark.integration def test_ratelimit__per_host_disabled(rate_limit_servers): """With per_host=False, all hosts share a single bucket""" url1, url2 = rate_limit_servers session = LimiterSession(per_second=1, burst=1, per_host=False) # Alternate between two hosts; the shared bucket throttles after the first request start = time.monotonic() statuses = [ session.get(url).status_code for url in itertools.islice(itertools.cycle([url1, url2]), 3) ] elapsed = time.monotonic() - start assert statuses == [200, 200, 200], f'Expected all 200s, got: {statuses}' # Shared bucket at 1 req/sec means 3 requests take at least 2 seconds assert elapsed >= 2.0, f'Expected >= 2s with shared bucket, got: {elapsed:.2f}s' JWCook-requests-ratelimiter-ddcd53e/test/test_requests_ratelimiter.py000066400000000000000000000427131517220735700264770ustar00rootroot00000000000000""" General rate-limiting behavior is covered by pyrate-limiter unit tests. These tests should cover additional behavior specific to requests-ratelimiter. """ import pickle from time import sleep from unittest.mock import MagicMock, patch import pytest from pyrate_limiter import ( Duration, InMemoryBucket, Limiter, Rate, SQLiteBucket, ) from requests import PreparedRequest, Session, exceptions from requests_cache import CacheMixin from requests_ratelimiter import HostBucketFactory, LimiterMixin, LimiterSession from requests_ratelimiter.requests_ratelimiter import _convert_rate, _get_valid_kwargs from test.conftest import ( MOCKED_URL, MOCKED_URL_429, MOCKED_URL_500, MOCKED_URL_ALT_HOST, get_mock_session, mount_mock_adapter, SQLITE_BUCKET_KWARGS, ) patch_sleep = patch('pyrate_limiter.limiter.sleep', side_effect=sleep) class CustomSession(LimiterMixin, Session): """Custom Session that adds an extra class attribute""" def __init__(self, *args, flag: bool = False, **kwargs): super().__init__(*args, **kwargs) self.flag = flag @patch_sleep @pytest.mark.parametrize( 'session_factory', [ lambda: LimiterSession(per_second=5), lambda: CustomSession(per_second=5, flag=True), ], ) def test_rate_limit_enforcement(mock_sleep, session_factory): session = mount_mock_adapter(session_factory()) for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True def test_custom_session_preserves_attributes(): session = CustomSession(per_second=5, flag=True) assert session.flag is True @patch_sleep def test_limiter_adapter(mock_sleep, limiter_adapter_session: tuple) -> None: session, adapter = limiter_adapter_session for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_custom_limiter(mock_sleep): bucket = InMemoryBucket([Rate(5, Duration.SECOND)]) limiter = Limiter(bucket) session = get_mock_session(limiter=limiter) for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_custom_limiter__per_host(mock_sleep): factory = HostBucketFactory(rates=[Rate(5, Duration.SECOND)]) limiter = Limiter(factory) session = get_mock_session(limiter=limiter, per_host=True) for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False # A different host should not be affected session.get(MOCKED_URL_ALT_HOST) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @pytest.mark.parametrize( 'session_kwargs, expect_warning', [ ({'per_host': True}, True), ({'per_host': False}, False), ], ) def test_custom_limiter__per_host_warning(caplog, session_kwargs, expect_warning): """Warn when a custom limiter without HostBucketFactory is used with per_host=True""" bucket = InMemoryBucket([Rate(5, Duration.SECOND)]) limiter = Limiter(bucket) with caplog.at_level('WARNING', logger='requests_ratelimiter'): LimiterSession(limiter=limiter, **session_kwargs) assert ('HostBucketFactory' in caplog.text) == expect_warning @patch_sleep @pytest.mark.parametrize( 'url, session_kwargs, expect_sleep', [ (MOCKED_URL_429, {}, True), # default: 429 fills bucket (MOCKED_URL_500, {'limit_statuses': [500]}, True), # custom status fills bucket (MOCKED_URL_429, {'limit_statuses': []}, False), # disabled: no fill on 429 ], ) def test_limit_status_handling(mock_sleep, url, session_kwargs, expect_sleep): """Bucket is filled (or not) depending on the response status and limit_statuses config""" session = get_mock_session(per_second=5, **session_kwargs) session.get(url) assert mock_sleep.called is False session.get(url) assert mock_sleep.called is expect_sleep @patch_sleep def test_429__per_host(mock_sleep): """With per_host, after receiving a 429 response, only that bucket should be filled""" session = get_mock_session(per_second=5, per_host=True) session.get(MOCKED_URL_429) # A 429 from one host should not affect requests for a different host session.get(MOCKED_URL_ALT_HOST) assert mock_sleep.called is False # But a second request to the original host should be delayed (its bucket was filled) session.get(MOCKED_URL_429) assert mock_sleep.called is True @pytest.mark.parametrize( 'limit, interval, expected_limit, expected_interval', [ (5, 1, 5, 1), (0.5, 1, 1, 2), (1, 0.5, 2, 1), # 1 req/0.5ms -> 2 req/1ms (0.001, 1, 1, 1000), (1, 1000, 1, 1000), (100, 1, 100, 1), (10, 10, 10, 10), ], ) def test_convert_rate(limit, interval, expected_limit, expected_interval): rate = _convert_rate(limit, interval) assert rate.limit == expected_limit assert rate.interval == expected_interval @patch_sleep def test_sqlite_backend(mock_sleep, tmp_path): session = get_mock_session( per_second=5, bucket_class=SQLiteBucket, bucket_kwargs={'path': tmp_path / 'rate_limit.db', **SQLITE_BUCKET_KWARGS}, ) for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_custom_bucket(mock_sleep, tmp_path): """With custom buckets, each session can be called independently without triggering rate limiting but requires a common backend such as sqlite """ ratelimit_path = tmp_path / 'rate_limit.db' session_a = get_mock_session( per_second=5, bucket_name='a', bucket_class=SQLiteBucket, bucket_kwargs={'path': ratelimit_path, **SQLITE_BUCKET_KWARGS}, ) session_b = get_mock_session( per_second=5, bucket_name='b', bucket_class=SQLiteBucket, bucket_kwargs={'path': ratelimit_path, **SQLITE_BUCKET_KWARGS}, ) for _ in range(5): session_a.get(MOCKED_URL) session_b.get(MOCKED_URL) assert mock_sleep.called is False session_a.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_cache_with_limiter(mock_sleep, tmp_path_factory): """Check that caching integration works as expected""" class CachedLimiterSession(CacheMixin, LimiterMixin, Session): pass cache_path = tmp_path_factory.mktemp('pytest') / 'cache.db' ratelimit_path = tmp_path_factory.mktemp('pytest') / 'rate_limit.db' session = CachedLimiterSession( per_second=5, cache_name=str(cache_path), bucket_class=SQLiteBucket, bucket_kwargs={'path': ratelimit_path, **SQLITE_BUCKET_KWARGS}, ) session = mount_mock_adapter(session) for _ in range(10): session.get(MOCKED_URL) assert mock_sleep.called is False def test_inherited_session_attributes(): """Inherited Session attributes are present and initialised by the base Session.""" session = LimiterSession(per_second=5) assert session.headers is not None assert session.cookies is not None assert session.auth is None # Session default assert 'response' in session.hooks # Tests for lifecycle of bucket factory leaker thread: # # pyrate-limiter 4 introduced a background `Leaker` thread per `BucketFactory`. # Because `LimiterMixin` creates the `BucketFactory` internally, it must also be # responsible for tearing it down. Without an explicit `close()` override, every # `LimiterAdapter` or `LimiterSession` that is discarded after use leaves a # daemon thread running until the process exits. # # The tests below verify that `LimiterMixin.close()` stops the Leaker and # behaves as expected. def _assert_leaker_stopped(leaker, bucket_factory) -> None: """Assert that a Leaker thread has been stopped and cleared from the bucket factory.""" assert leaker._stop_event.is_set() assert bucket_factory._leaker is None def test_limiter_adapter_close_stops_leaker(limiter_adapter_session: tuple) -> None: session, adapter = limiter_adapter_session assert adapter.limiter.bucket_factory._leaker is None # no thread before first request session.get(MOCKED_URL) leaker = adapter.limiter.bucket_factory._leaker assert leaker is not None assert leaker.is_alive() adapter.close() _assert_leaker_stopped(leaker, adapter.limiter.bucket_factory) def test_limiter_session_close_stops_leaker(): session = get_mock_session(per_second=5) assert session.limiter.bucket_factory._leaker is None # no thread before first request session.get(MOCKED_URL) leaker = session.limiter.bucket_factory._leaker assert leaker is not None assert leaker.is_alive() session.close() _assert_leaker_stopped(leaker, session.limiter.bucket_factory) def test_limiter_session_context_manager_stops_leaker(): with get_mock_session(per_second=5) as session: session.get(MOCKED_URL) leaker = session.limiter.bucket_factory._leaker assert leaker is not None _assert_leaker_stopped(leaker, session.limiter.bucket_factory) # __exit__ calls close() def test_session_close_cascades_to_limiter_adapter(limiter_adapter_session: tuple) -> None: session, adapter = limiter_adapter_session session.get(MOCKED_URL) leaker = adapter.limiter.bucket_factory._leaker assert leaker is not None assert leaker.is_alive() session.close() _assert_leaker_stopped(leaker, adapter.limiter.bucket_factory) def test_close_before_any_request_and_idempotent(): session = LimiterSession(per_second=5) assert session.limiter.bucket_factory._leaker is None session.close() # no Leaker was ever created — must not raise session.close() # second call must also be safe @patch_sleep def test_fill_bucket_with_custom_limiter(mock_sleep): bucket = InMemoryBucket([Rate(5, Duration.SECOND)]) limiter = Limiter(bucket) session = get_mock_session(limiter=limiter, per_host=False) session.get(MOCKED_URL_429) session.get(MOCKED_URL_429) assert mock_sleep.called is True def test_fill_bucket_no_bucket_logs_warning(caplog): mock_limiter = MagicMock() del mock_limiter.bucket_factory.__getitem__ # no dict-like access mock_limiter.buckets.return_value = [] session = LimiterSession.__new__(LimiterSession) session.limiter = mock_limiter session.per_host = False session._default_bucket = 'test' session.bucket_name = None req = PreparedRequest() req.url = MOCKED_URL with caplog.at_level('WARNING', logger='requests_ratelimiter'): session._fill_bucket(req) assert 'No buckets available' in caplog.text @patch_sleep def test_custom_bucket_class(mock_sleep): class MyBucket(InMemoryBucket): pass session = get_mock_session(per_second=5, bucket_class=MyBucket) for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True session.close() def test_bucket_name_prefixes_per_host(): session = LimiterSession(per_second=5, bucket_name='myapp', per_host=True) req = PreparedRequest() req.url = MOCKED_URL assert session._bucket_name(req) == 'myapp:requests-ratelimiter.com' @patch_sleep def test_max_delay_raises_on_timeout(mock_sleep): session = get_mock_session(per_second=5, max_delay=0.001) for _ in range(5): session.get(MOCKED_URL) with pytest.raises(exceptions.Timeout, match='max_delay'): session.get(MOCKED_URL) @patch_sleep def test_burst_allows_consecutive_requests(mock_sleep): session = get_mock_session(per_second=1, burst=3) for _ in range(3): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep @pytest.mark.parametrize( 'bucket_class,bucket_kwargs', [ (InMemoryBucket, {}), # InMemoryBucket (SQLiteBucket, None), # SQLiteBucket (will use fixture to provide kwargs) ], ) def test_pickling(mock_sleep, bucket_class, bucket_kwargs, tmp_path): if bucket_class == SQLiteBucket: bucket_kwargs = {'path': tmp_path / 'rate_limit.db', **SQLITE_BUCKET_KWARGS} session = get_mock_session(per_second=5, bucket_class=bucket_class, bucket_kwargs=bucket_kwargs) unpickled = pickle.loads(pickle.dumps(session)) # Re-mount mock adapter since it's not preserved through pickling unpickled = mount_mock_adapter(unpickled) assert unpickled.per_host == session.per_host assert unpickled.bucket_name == session.bucket_name assert unpickled.limit_statuses == session.limit_statuses assert unpickled._default_bucket == session._default_bucket for _ in range(5): unpickled.get(MOCKED_URL) assert mock_sleep.called is False unpickled.get(MOCKED_URL) assert mock_sleep.called is True def test_pickling_custom_limiter(): """Unpickling a session with a custom limiter should preserve _custom_limiter so that close() does not try to stop a factory it doesn't own.""" bucket = InMemoryBucket([Rate(5, Duration.SECOND)]) limiter = Limiter(bucket) session = get_mock_session(limiter=limiter, per_host=False) unpickled = pickle.loads(pickle.dumps(session)) assert unpickled._custom_limiter is True unpickled.close() # must not raise @patch_sleep @pytest.mark.parametrize('method', ['get', 'post', 'put', 'patch', 'delete', 'head', 'options']) def test_rate_limiting_applies_to_all_http_methods(mock_sleep, method): session = get_mock_session(per_second=5) http_method = getattr(session, method) for _ in range(5): http_method(MOCKED_URL) assert mock_sleep.called is False http_method(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_combined_rate_limits(mock_sleep): session = get_mock_session(per_second=5, per_minute=10) for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @pytest.mark.parametrize( 'kwargs, expected_limit', [ ({'per_hour': 100}, 100), ({'per_day': 1000}, 1000), ({'per_month': 10000}, 10000), ], ) def test_rate_limit_period(kwargs, expected_limit): session = LimiterSession(**kwargs) factory = session.limiter.bucket_factory assert len(factory.rates) == 1 assert factory.rates[0].limit == expected_limit def test_no_rate_limits_no_limiter(): session = LimiterSession() assert session.limiter is not None factory = session.limiter.bucket_factory assert len(factory.rates) == 0 @pytest.mark.parametrize( 'url, bucket_name, expected_name', [ ('http+mock://example.com/path', None, 'example.com'), ('http+mock://example.com:8080/path', None, 'example.com:8080'), ('http+mock://192.168.1.1/path', None, '192.168.1.1'), ('http+mock://[::1]/path', None, '[::1]'), ('http+mock://[::1]:8080/path', None, '[::1]:8080'), ('http+mock://example.com/path', 'myapp', 'myapp:example.com'), ], ) def test_bucket_name_from_url(url, bucket_name, expected_name): """per_host bucket names are derived from URL netloc, including ports and IPs""" session = LimiterSession(per_second=5, per_host=True, bucket_name=bucket_name) req = PreparedRequest() req.url = url assert session._bucket_name(req) == expected_name def test_custom_limiter_close_does_not_stop_factory(): bucket = InMemoryBucket([Rate(5, Duration.SECOND)]) limiter = Limiter(bucket) session = get_mock_session(limiter=limiter, per_host=False) session.get(MOCKED_URL) session.close() @patch_sleep def test_limiter_adapter_per_host(mock_sleep, limiter_adapter_session: tuple) -> None: session, adapter = limiter_adapter_session for _ in range(5): session.get(MOCKED_URL) assert mock_sleep.called is False session.get(MOCKED_URL_ALT_HOST) assert mock_sleep.called is False session.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_shared_bucket_name_enforces_shared_limit(mock_sleep, tmp_path): ratelimit_path = tmp_path / 'rate_limit.db' session_a = get_mock_session( per_second=5, bucket_name='shared', bucket_class=SQLiteBucket, bucket_kwargs={'path': ratelimit_path, **SQLITE_BUCKET_KWARGS}, ) session_b = get_mock_session( per_second=5, bucket_name='shared', bucket_class=SQLiteBucket, bucket_kwargs={'path': ratelimit_path, **SQLITE_BUCKET_KWARGS}, ) for _ in range(5): session_a.get(MOCKED_URL) assert mock_sleep.called is False session_b.get(MOCKED_URL) assert mock_sleep.called is True @patch_sleep def test_limit_statuses_multiple_codes(mock_sleep): session = get_mock_session(per_second=5, limit_statuses=[429, 500]) session.get(MOCKED_URL_500) assert mock_sleep.called is False session.get(MOCKED_URL_500) assert mock_sleep.called is True @pytest.mark.parametrize( 'func, kwargs, expected', [ (lambda x, y: None, {'x': 1, 'y': 2, 'z': 3}, {'x': 1, 'y': 2}), (lambda x: None, {'x': 1, 'y': 2}, {'x': 1}), (lambda: 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