├── .coveragerc
├── .github
└── workflows
│ ├── mypy.yml
│ ├── publish_package.yml
│ └── unittests.yml
├── .gitignore
├── LICENSE
├── README.md
├── bucketratelimiter
├── __init__.py
├── bucket_rate_limiters
│ ├── __init__.py
│ ├── asyncio_bucket.py
│ ├── bucket_abc.py
│ └── mthreaded_bucket.py
└── version.py
├── examples
├── __init__.py
├── asyncio_complete_example.py
└── multithreading_complete_example.py
├── setup.py
└── tests
├── __init__.py
├── test_asyncio_bucket.py
└── test_mthreaded_bucket.py
/.coveragerc:
--------------------------------------------------------------------------------
1 | [run]
2 | source = bucketratelimiter
3 | branch = TRUE
4 | parallel = TRUE
5 | omit = tests/* , bucketratelimiter/version.py
6 |
7 | [report]
8 | show_missing = True
9 | exclude_lines =
10 | # default
11 | pragma: no cover
12 | # python debug/internals
13 | def __repr__
14 | if __debug__:
15 | assert
16 | raise AssertionError
17 | raise NotImplementedError
18 | return NotImplemented
19 | if __name__ == "__main__"
20 | if __name__ == '__main__'
21 | @overload
22 | @abstractmethod
23 | if TYPE_CHECKING
--------------------------------------------------------------------------------
/.github/workflows/mypy.yml:
--------------------------------------------------------------------------------
1 | name: MyPy
2 |
3 | on:
4 | push:
5 | branches: [ main ]
6 | pull_request:
7 | branches: [ main ]
8 |
9 | jobs:
10 | build:
11 |
12 | runs-on: ubuntu-latest
13 |
14 | steps:
15 | - uses: actions/checkout@v3
16 | - name: Set up Python 3.9
17 | uses: actions/setup-python@v4
18 | with:
19 | python-version: '3.9'
20 | - name: Install dependencies
21 | run: |
22 | python -m pip install --upgrade pip
23 | pip install .[develop]
24 | - name: MyPy test
25 | run: |
26 | mypy --strict bucketratelimiter
--------------------------------------------------------------------------------
/.github/workflows/publish_package.yml:
--------------------------------------------------------------------------------
1 | name: Publish Python Package
2 |
3 | on:
4 | release:
5 | types: [published]
6 |
7 | jobs:
8 | deploy:
9 | runs-on: ubuntu-latest
10 | steps:
11 | - uses: actions/checkout@v3
12 | - name: Set up Python
13 | uses: actions/setup-python@v4
14 | with:
15 | python-version: '3.9'
16 | - name: Install dependencies
17 | run: |
18 | python -m pip install --upgrade pip
19 | pip install build
20 | - name: Build package
21 | run: python -m build
22 | - name: Publish package
23 | uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
24 | with:
25 | user: __token__
26 | password: ${{ secrets.PYPI_API_TOKEN }}
--------------------------------------------------------------------------------
/.github/workflows/unittests.yml:
--------------------------------------------------------------------------------
1 | name: UNITTESTS
2 |
3 | on:
4 | push:
5 | branches: [ main ]
6 | pull_request:
7 | branches: [ main ]
8 |
9 | jobs:
10 | build:
11 |
12 | runs-on: ubuntu-latest
13 | strategy:
14 | matrix:
15 | python-version: ["3.6", "3.7", "3.8", "3.9", "3.10"]
16 |
17 | steps:
18 | - uses: actions/checkout@v3
19 | - name: Set up Python ${{ matrix.python-version }}
20 | uses: actions/setup-python@v4
21 | with:
22 | python-version: ${{ matrix.python-version }}
23 | - name: Install dependencies
24 | run: |
25 | python -m pip install --upgrade pip
26 | pip install .[develop]
27 | - name: Test with pytest
28 | run: |
29 | pytest --durations=0 --cov=bucketratelimiter
30 | - name: Upload coverage to Codecov
31 | uses: codecov/codecov-action@v1
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | # Byte-compiled / optimized / DLL files
2 | __pycache__/
3 | *.py[cod]
4 | *$py.class
5 |
6 | # C extensions
7 | *.so
8 |
9 | # Distribution / packaging
10 | .Python
11 | build/
12 | develop-eggs/
13 | dist/
14 | downloads/
15 | eggs/
16 | .eggs/
17 | lib/
18 | lib64/
19 | parts/
20 | sdist/
21 | var/
22 | wheels/
23 | pip-wheel-metadata/
24 | share/python-wheels/
25 | *.egg-info/
26 | .installed.cfg
27 | *.egg
28 | MANIFEST
29 |
30 | # PyInstaller
31 | # Usually these files are written by a python script from a template
32 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
33 | *.manifest
34 | *.spec
35 |
36 | # Installer logs
37 | pip-log.txt
38 | pip-delete-this-directory.txt
39 |
40 | # Unit test / coverage reports
41 | htmlcov/
42 | .tox/
43 | .nox/
44 | .coverage
45 | .coverage.*
46 | .cache
47 | nosetests.xml
48 | coverage.xml
49 | *.cover
50 | *.py,cover
51 | .hypothesis/
52 | .pytest_cache/
53 |
54 | # Translations
55 | *.mo
56 | *.pot
57 |
58 | # Django stuff:
59 | *.log
60 | local_settings.py
61 | db.sqlite3
62 | db.sqlite3-journal
63 |
64 | # Flask stuff:
65 | instance/
66 | .webassets-cache
67 |
68 | # Scrapy stuff:
69 | .scrapy
70 |
71 | # Sphinx documentation
72 | docs/_build/
73 |
74 | # PyBuilder
75 | target/
76 |
77 | # Jupyter Notebook
78 | .ipynb_checkpoints
79 |
80 | # IPython
81 | profile_default/
82 | ipython_config.py
83 |
84 | # pyenv
85 | .python-version
86 |
87 | # pipenv
88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies
90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not
91 | # install all needed dependencies.
92 | #Pipfile.lock
93 |
94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow
95 | __pypackages__/
96 |
97 | # Celery stuff
98 | celerybeat-schedule
99 | celerybeat.pid
100 |
101 | # SageMath parsed files
102 | *.sage.py
103 |
104 | # Environments
105 | .env
106 | .venv
107 | env/
108 | venv/
109 | ENV/
110 | env.bak/
111 | venv.bak/
112 |
113 | # Spyder project settings
114 | .spyderproject
115 | .spyproject
116 |
117 | # Rope project settings
118 | .ropeproject
119 |
120 | # mkdocs documentation
121 | /site
122 |
123 | # mypy
124 | .mypy_cache/
125 | .dmypy.json
126 | dmypy.json
127 |
128 | # Pyre type checker
129 | .pyre/
130 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | [](https://www.gnu.org/licenses/gpl-3.0)
2 | [](https://github.com/ArtyomKozyrev8/BucketRateLimiter/actions/workflows/unittests.yml)
3 | [](https://codecov.io/gh/ArtyomKozyrev8/BucketRateLimiter)
4 | [](https://github.com/ArtyomKozyrev8/BucketRateLimiter/actions/workflows/mypy.yml)
5 |
6 | # BucketRateLimiter
7 |
8 | **BucketRateLimiter** is the collection of rate limiters, which are based on **Bucket** conception.
9 |
10 | Rate Limiters are used when you want some function to be executed the concrete amount of times per time unit.
11 | The most widespread use case of Rate Limiters is when you use external APIs, e.g. website API. Some websites allows
12 | to make only a limited number of requests per second and Rate Limiters solves the issue.
13 |
14 |
15 | ### How to install:
16 |
17 | `pip install bucketratelimiter`
18 |
19 | ### Examples:
20 |
21 | You can find complete examples on how to use `AsyncioBucketTimeRateLimiter` and `MThreadedBucketTimeRateLimiter` in
22 | folder **examples** of this repository. Also you can check **tests** folder and get some tricks from unittests.
23 |
24 | ### How to use:
25 |
26 | ##### Create rate limiter:
27 |
28 | ```python
29 | from bucketratelimiter import AsyncioBucketTimeRateLimiter
30 |
31 | # max_size = 4 and recovery_time = 1.0
32 | # means that we would like to limit something to 4 attempts per second
33 | # max_size - is a size of internal bucket
34 | # recovery_time - time to make bucket full again
35 | # rest_time - is the time to sleep for workers which can not proceed further due to rate limiter
36 | # callback - is a function which should be called after task will be completed
37 | ASYNC_LIMITER = AsyncioBucketTimeRateLimiter(
38 | max_size=4,
39 | recovery_time=1.0,
40 | rest_time=0.2,
41 | callback=None,
42 | )
43 | ```
44 |
45 | ```python
46 | from bucketratelimiter import MThreadedBucketTimeRateLimiter
47 |
48 | ASYNC_LIMITER = MThreadedBucketTimeRateLimiter(
49 | max_size=4,
50 | recovery_time=1.0,
51 | rest_time=0.2,
52 | callback=None,
53 | )
54 | ```
55 |
56 | ##### "Wrap" some function in ratelimiter:
57 |
58 | ```python
59 | import asyncio
60 | from bucketratelimiter import AsyncioBucketTimeRateLimiter
61 |
62 | limiter = AsyncioBucketTimeRateLimiter()
63 |
64 | @limiter # we use decorator to limit the function to a certain number of attempts per second
65 | async def some_func_to_limit(sleep_time: float = 1.0) -> None:
66 | await asyncio.sleep(sleep_time)
67 | ```
68 |
69 |
70 | ```python
71 | import time
72 | from bucketratelimiter import MThreadedBucketTimeRateLimiter
73 |
74 | limiter = MThreadedBucketTimeRateLimiter()
75 |
76 | @limiter # we use decorator to limit the function to a certain number of attempts per second
77 | def some_func_to_limit(sleep_time: float = 1.0) -> None:
78 | time.sleep(sleep_time)
79 | ```
80 |
81 | ##### Activate ratelimiter logic:
82 |
83 | ```python
84 | limiter = AsyncioBucketTimeRateLimiter()
85 |
86 | async def main_entry_point() -> None:
87 | """Main entry point of our asyncio app."""
88 | q = asyncio.Queue()
89 | for task in TASKS_TO_COMPLETE:
90 | await q.put(task)
91 |
92 | # use LIMITER as context manager to ensure its correct activation and end of work
93 | async with limiter:
94 | for w in [worker(q) for _ in range(1, WORKER_NUM + 1)]:
95 | asyncio.create_task(w)
96 |
97 | await q.join()
98 | ```
99 |
100 | ```python
101 | limiter = MThreadedBucketTimeRateLimiter()
102 |
103 | def main_entry_point() -> None:
104 | """Main entry point of our multithreading app."""
105 | q = Queue()
106 | for task in TASKS_TO_COMPLETE:
107 | q.put(task)
108 |
109 | # use LIMITER as context manager to ensure its correct activation and end of work
110 | with LIMITER:
111 | for _ in range(1, WORKER_NUM + 1):
112 | Thread(target=worker, args=(q, ), daemon=True).start()
113 |
114 | q.join()
115 | ```
116 |
117 | ### HOW TO USE LOW LEVEL API:
118 |
119 | ##### Use without context manager:
120 |
121 | ```python
122 | # Use RateLimiter's method to activate and deactivate it's inner logic
123 | # instead of using context managers
124 | try:
125 | limiter.activate()
126 | finally:
127 | limiter.deactivate()
128 | ```
129 |
130 | ##### Use without functions decoration:
131 |
132 | ```python
133 | import asyncio
134 | from bucketratelimiter import AsyncioBucketTimeRateLimiter
135 |
136 | limiter = AsyncioBucketTimeRateLimiter()
137 |
138 | async def some_func_to_limit(sleep_time: float = 1.0) -> None:
139 | await asyncio.sleep(sleep_time)
140 | ...
141 | async with limiter:
142 | await limiter.wrap_operation(some_func_to_limit, sleep_time=1.0)
143 |
144 | # ATTENTION !
145 | # Do not use wrap_operation to some function more than once
146 | # Do not apply decorator to some function if you use wrap_operation
147 | # It can lead to unexpected results
148 | ```
149 |
150 | ```python
151 | import time
152 | from bucketratelimiter import MThreadedBucketTimeRateLimiter
153 |
154 | limiter = MThreadedBucketTimeRateLimiter()
155 |
156 | def some_func_to_limit(sleep_time: float = 1.0) -> None:
157 | time.sleep(sleep_time)
158 | ...
159 | with limiter:
160 | limiter.wrap_operation(some_func_to_limit, sleep_time=1.0)
161 | ```
162 |
163 | ### FOR CONTRIBUTORS:
164 |
165 | Clone the project:
166 | ```commandline
167 | https://github.com/ArtyomKozyrev8/BucketRateLimiter.git
168 | cd BucketRateLimiter
169 | ```
170 | Create a new virtualenv:
171 | ```commandline
172 | python3 -m venv env
173 | source env/bin/activate
174 | ```
175 | Install all requirements:
176 | ```commandline
177 | pip install -e '.[develop]'
178 | ```
179 |
180 | **Run Tests:**
181 |
182 |
183 | ```commandline
184 | mypy --strict bucketratelimiter
185 |
186 | pytest --cov=bucketratelimiter tests/
187 |
188 | coverage report
189 |
190 | coverage html
191 | ```
192 |
--------------------------------------------------------------------------------
/bucketratelimiter/__init__.py:
--------------------------------------------------------------------------------
1 | from .bucket_rate_limiters import (
2 | AsyncioBucketTimeRateLimiter,
3 | MThreadedBucketTimeRateLimiter,
4 | )
5 |
6 | __all__ = [
7 | "AsyncioBucketTimeRateLimiter",
8 | "MThreadedBucketTimeRateLimiter",
9 | ]
10 |
--------------------------------------------------------------------------------
/bucketratelimiter/bucket_rate_limiters/__init__.py:
--------------------------------------------------------------------------------
1 | from .asyncio_bucket import AsyncioBucketTimeRateLimiter
2 | from .mthreaded_bucket import MThreadedBucketTimeRateLimiter
3 |
4 |
5 | __all__ = [
6 | "AsyncioBucketTimeRateLimiter",
7 | "MThreadedBucketTimeRateLimiter",
8 | ]
9 |
--------------------------------------------------------------------------------
/bucketratelimiter/bucket_rate_limiters/asyncio_bucket.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | from functools import wraps
3 | from typing import Any, Awaitable, Callable, Coroutine, Optional, Union
4 |
5 | from .bucket_abc import AsyncTimeRateLimiterABC, BucketTimeRateLimiterABC
6 |
7 | AsyncFuncType = Callable[..., Union[Awaitable, Coroutine]]
8 |
9 |
10 | class AsyncioBucketTimeRateLimiter(BucketTimeRateLimiterABC, AsyncTimeRateLimiterABC):
11 | def __init__(
12 | self,
13 | max_size: int = 4,
14 | recovery_time: float = 1.0,
15 | rest_time: float = 0.2,
16 | callback: Optional[Callable[..., Any]] = None,
17 | ) -> None:
18 | self.max_size: int = max_size
19 | self.active_slots: int = max_size # number of active slots at the moment
20 | self.recovery_time: float = recovery_time
21 | self.rest_time: float = rest_time
22 | # used to signal "external" workers that bucket is "empty"
23 | self.event_bucket_empty: asyncio.Event = asyncio.Event()
24 | # separate asyncio task to return bucket to full size
25 | self.reactivate_task: Optional[asyncio.Task[Any]] = None
26 | self.callback: Optional[Callable[..., Any]] = callback
27 |
28 | def _decrement(self) -> None:
29 | if self.active_slots > 0:
30 | self.active_slots -= 1
31 |
32 | async def _reactivate_slots(self) -> None:
33 | while True:
34 | await asyncio.sleep(self.recovery_time)
35 | self.active_slots = self.max_size
36 | self.event_bucket_empty.set()
37 |
38 | async def wrap_operation(self, func: AsyncFuncType, *args: Any, **kwargs: Any) -> Any:
39 | while True:
40 | if self.event_bucket_empty.is_set(): # if bucket is not empty do work
41 | if self.active_slots == 0:
42 | self.event_bucket_empty.clear()
43 | else:
44 | self._decrement()
45 | res = await func(*args, **kwargs)
46 | if self.callback is not None:
47 | self.callback()
48 | return res
49 | else:
50 | await asyncio.sleep(self.rest_time)
51 |
52 | def activate(self) -> None:
53 | if self.reactivate_task is None: # prevents creation of several activate tasks
54 | self.event_bucket_empty.set() # set event flag that bucket is ready
55 | self.reactivate_task = asyncio.ensure_future(self._reactivate_slots())
56 |
57 | def deactivate(self) -> None:
58 | if self.reactivate_task is not None:
59 | if self.reactivate_task.done() is False:
60 | try:
61 | self.reactivate_task.cancel()
62 | except asyncio.CancelledError: # pragma: no cover
63 | pass
64 |
65 | def __call__(self, f: AsyncFuncType) -> AsyncFuncType:
66 | @wraps(f)
67 | async def wrapper(*args: Any, **kwargs: Any) -> Any:
68 | self.activate()
69 | return await self.wrap_operation(f, *args, **kwargs)
70 |
71 | return wrapper
72 |
73 | async def __aenter__(self) -> "AsyncioBucketTimeRateLimiter":
74 | self.activate()
75 | return self
76 |
77 | async def __aexit__(self, exc_type: Any, exc: Any, tb: Any) -> None:
78 | self.deactivate()
79 |
--------------------------------------------------------------------------------
/bucketratelimiter/bucket_rate_limiters/bucket_abc.py:
--------------------------------------------------------------------------------
1 | from abc import ABC, abstractmethod
2 | from typing import Any, Callable, Optional
3 |
4 |
5 | class BucketTimeRateLimiterABC(ABC):
6 | @abstractmethod
7 | def __init__(
8 | self,
9 | max_size: int,
10 | recovery_time: float,
11 | rest_time: float,
12 | callback: Optional[Callable[..., Any]],
13 | ) -> None:
14 | """
15 | BucketRateLimiter is used to limit number of "simultaneous" operations to the specified number.
16 | e.g. some external API allows you to make only 4 requests per second.
17 | BucketRateLimiter can help to achieve the goal.
18 | :param max_size: max size of Bucket. Should be positive integer number.
19 | This is the maximum number of operations (e.g. requests) you can launch in the provided time
20 | interval (recovery_time).
21 | e.g. API allows you to make 4 requests per second, hereby max_size = 4
22 | :param recovery_time: time in seconds to recover Bucket to full size.
23 | e.g. API allows to make 4 requests per second, hereby recovery_time = 1.0
24 | :param rest_time: time to give "workers" who use bucket to sleep if bucket is empty at the moment.
25 | BucketRateLimiter deliberately does not use any internal pool of workers to make
26 | it responsibility of user how to implement "workers"
27 | :param callback: not "awaitable" function which is called when any of workers have finished task.
28 | """
29 | ...
30 |
31 | @abstractmethod
32 | def _decrement(self) -> None:
33 | """Decrements internal counter self.active_slots by one."""
34 | ...
35 |
36 | @abstractmethod
37 | def activate(self) -> None:
38 | """The method "activates" BucketRateLimiter internal logic."""
39 | ...
40 |
41 | @abstractmethod
42 | def deactivate(self) -> None:
43 | """The method stops self.reactivate_task operations."""
44 | ...
45 |
46 | @abstractmethod
47 | def __call__(self, f: Any) -> Any:
48 | """The method is created in order to use BucketRateLimiter instance as decorator."""
49 | ...
50 |
51 |
52 | class AsyncTimeRateLimiterABC(ABC):
53 | @abstractmethod
54 | async def _reactivate_slots(self) -> None:
55 | """Every n seconds (self.recovery_time) refresh number of self.active_slots to max number."""
56 | ...
57 |
58 | @abstractmethod
59 | async def wrap_operation(self, func: Any, *args: Any, **kwargs: Any) -> Any:
60 | """
61 | Wrapper around some async function which is used in "workers".
62 | It limits number of attempts to a certain maximum number.
63 | :param func: async function we would like to limit.
64 | :param args: this async function args.
65 | :param kwargs: this async function kwargs.
66 | :return: returns the same result as func is supposed to return.
67 | """
68 | ...
69 |
70 | @abstractmethod
71 | async def __aenter__(self) -> Any:
72 | """Implemented to use the BucketRateLimiter instance as context manager."""
73 | ...
74 |
75 | @abstractmethod
76 | async def __aexit__(self, exc_type: Any, exc: Any, tb: Any) -> None:
77 | """Implemented to use the BucketRateLimiter instance as context manager."""
78 | ...
79 |
80 |
81 | class MThreadedBucketTimeRateLimiterABC(ABC):
82 | @abstractmethod
83 | def _reactivate_slots(self) -> None:
84 | """Every n seconds (self.recovery_time) refresh number of self.active_slots to max number."""
85 | ...
86 |
87 | @abstractmethod
88 | def wrap_operation(self, func: Any, *args: Any, **kwargs: Any) -> Any:
89 | """
90 | Wrapper around some sync function which is used in "workers".
91 | It limits number of attempts to a certain maximum number.
92 | :param func: some sync function we would like to apply rate limit to.
93 | :param args: the sync function args.
94 | :param kwargs: the sync function kwargs.
95 | :return: returns the same result as the func is supposed to return.
96 | """
97 | ...
98 |
99 | @abstractmethod
100 | def __enter__(self) -> Any:
101 | """Implemented to use the BucketRateLimiter instance as context manager."""
102 | ...
103 |
104 | @abstractmethod
105 | def __exit__(self, exc_type: Any, exc: Any, tb: Any) -> None:
106 | """Implemented to use the BucketRateLimiter instance as context manager."""
107 | ...
108 |
--------------------------------------------------------------------------------
/bucketratelimiter/bucket_rate_limiters/mthreaded_bucket.py:
--------------------------------------------------------------------------------
1 | import threading as th
2 | from functools import wraps
3 | from time import sleep
4 | from typing import Any, Callable, Optional
5 |
6 | from .bucket_abc import BucketTimeRateLimiterABC, MThreadedBucketTimeRateLimiterABC
7 |
8 |
9 | class MThreadedBucketTimeRateLimiter(BucketTimeRateLimiterABC, MThreadedBucketTimeRateLimiterABC):
10 | def __init__(
11 | self,
12 | max_size: int = 4,
13 | recovery_time: float = 1.0,
14 | rest_time: float = 0.2,
15 | callback: Optional[Callable[..., Any]] = None,
16 | ) -> None:
17 | self.max_size: int = max_size
18 | self.active_slots: int = max_size # number of active slots at the moment
19 | self.recovery_time: float = recovery_time
20 | self.rest_time: float = rest_time
21 | # used to signal "external" workers that bucket is "empty"
22 | self.event_bucket_empty: th.Event = th.Event()
23 | # separate asyncio task to return bucket to full size
24 | self.reactivate_task: Optional[th.Thread] = None
25 | self.callback: Optional[Callable[..., Any]] = callback
26 | self.sync_lock = th.Lock()
27 | self.event_full_stop = th.Event()
28 |
29 | def _decrement(self) -> None:
30 | with self.sync_lock:
31 | if self.active_slots > 0:
32 | self.active_slots -= 1
33 |
34 | def _reactivate_slots(self) -> None:
35 | while self.event_full_stop.is_set():
36 | sleep(self.recovery_time)
37 | with self.sync_lock:
38 | self.active_slots = self.max_size
39 | self.event_bucket_empty.set()
40 |
41 | def wrap_operation(self, func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
42 | while True:
43 | if self.event_bucket_empty.is_set(): # if bucket is not empty do work
44 | if self.active_slots == 0:
45 | self.event_bucket_empty.clear()
46 | else:
47 | self._decrement()
48 | res = func(*args, **kwargs)
49 | if self.callback is not None:
50 | self.callback()
51 | return res
52 | else:
53 | sleep(self.rest_time)
54 |
55 | def activate(self) -> None:
56 | if self.reactivate_task is None: # prevents creation of several activate tasks
57 | self.event_full_stop.set() # prepare full stop event
58 | self.event_bucket_empty.set() # set event flag that bucket is ready
59 | self.reactivate_task = th.Thread(target=self._reactivate_slots, daemon=True)
60 | self.reactivate_task.start()
61 |
62 | def deactivate(self) -> None:
63 | if self.reactivate_task is not None:
64 | self.event_full_stop.clear()
65 |
66 | def __call__(self, f: Callable[..., Any]) -> Callable[..., Any]:
67 | @wraps(f)
68 | def wrapper(*args: Any, **kwargs: Any) -> Any:
69 | self.activate()
70 | return self.wrap_operation(f, *args, **kwargs)
71 |
72 | return wrapper
73 |
74 | def __enter__(self) -> "MThreadedBucketTimeRateLimiter":
75 | self.activate()
76 | return self
77 |
78 | def __exit__(self, exc_type: Any, exc: Any, tb: Any) -> None:
79 | self.deactivate()
80 |
--------------------------------------------------------------------------------
/bucketratelimiter/version.py:
--------------------------------------------------------------------------------
1 | __version__ = "1.0.0"
2 |
3 | __author__ = "Artyom Viktorovich Kozyrev"
4 |
5 | author_email = "kozirev8@gmail.com"
6 |
7 | package_license = "GNU GENERAL PUBLIC LICENSE"
8 |
9 | package_info = "Collection of BucketRateLimiters. Allows to limit number of ops to the certain number."
10 |
--------------------------------------------------------------------------------
/examples/__init__.py:
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https://raw.githubusercontent.com/ArtyomKozyrev8/BucketRateLimiter/36507e3cf0fe1072a71d7744d5ad0f88f3dccf32/examples/__init__.py
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/examples/asyncio_complete_example.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | from typing import NamedTuple
3 | from datetime import datetime
4 | import time
5 | from functools import partial
6 |
7 | from bucketratelimiter import AsyncioBucketTimeRateLimiter
8 |
9 |
10 | TASKS_TO_COMPLETE = [(i, i, i) for i in range(20)]
11 | WORKER_NUM = 30
12 |
13 |
14 | class TestResult(NamedTuple):
15 | res: int
16 | start: str
17 | end: str
18 |
19 |
20 | def some_callback(x: int, y: int, z: int) -> None:
21 | """This is some callback function"""
22 | print(f"Callback result: {x + y + z}")
23 |
24 |
25 | LIMITER = AsyncioBucketTimeRateLimiter(callback=partial(some_callback, 1, 2, 3)) # declare rate limiter here
26 |
27 |
28 | @LIMITER # use limiter as a decorator to rate limit some_func
29 | async def some_func(x: int, y: int, z: int, *, time_to_complete: float = 1) -> TestResult:
30 | """Imagine it is a fetch function and we would like to implement rate limiter to it."""
31 | format_time = "%H:%M:%S"
32 | start = datetime.utcnow().strftime(format_time)
33 | await asyncio.sleep(time_to_complete)
34 | end = datetime.utcnow().strftime(format_time)
35 | result = x + y + z - z - y # = x
36 |
37 | return TestResult(result, start, end)
38 |
39 |
40 | async def worker(q: asyncio.Queue) -> None:
41 | """Workers which do some stuff."""
42 | while True:
43 | item = await q.get()
44 | res = await some_func(*item)
45 | print(f"Result: {res.res} | {res.start} - {res.end}")
46 | q.task_done()
47 |
48 |
49 | async def main_entry_point() -> None:
50 | """Main entry point of our asyncio app."""
51 | q = asyncio.Queue()
52 | for task in TASKS_TO_COMPLETE:
53 | await q.put(task)
54 |
55 | tasks_to_cancel = []
56 | # use LIMITER as context manager to ensure its correct activation and end of work
57 | async with LIMITER:
58 | for w in [worker(q) for _ in range(1, WORKER_NUM + 1)]:
59 | tasks_to_cancel.append(asyncio.ensure_future(w))
60 |
61 | await q.join()
62 |
63 | [t.cancel() for t in tasks_to_cancel] # cancel "daemon" tasks
64 |
65 |
66 | if __name__ == '__main__':
67 | start_t = time.monotonic()
68 | loop = asyncio.get_event_loop()
69 | try:
70 | loop.run_until_complete(main_entry_point())
71 | finally:
72 | loop.close()
73 | print(f"Time passed: {time.monotonic() - start_t}")
74 |
--------------------------------------------------------------------------------
/examples/multithreading_complete_example.py:
--------------------------------------------------------------------------------
1 | from threading import Thread
2 | from queue import Queue
3 | from typing import NamedTuple
4 | from datetime import datetime
5 | import time
6 | from functools import partial
7 |
8 | from bucketratelimiter import MThreadedBucketTimeRateLimiter
9 |
10 |
11 | TASKS_TO_COMPLETE = [(i, i, i) for i in range(20)]
12 | WORKER_NUM = 30
13 |
14 |
15 | class TestResult(NamedTuple):
16 | res: int
17 | start: str
18 | end: str
19 |
20 |
21 | def some_callback(x: int, y: int, z: int) -> None:
22 | """This is some callback function"""
23 | print(f"Callback result: {x + y + z}")
24 |
25 |
26 | LIMITER = MThreadedBucketTimeRateLimiter(callback=partial(some_callback, 1, 2, 3)) # declare rate limiter here
27 |
28 |
29 | @LIMITER # use limiter as a decorator to rate limit some_func
30 | def some_func(x: int, y: int, z: int, *, time_to_complete: float = 1) -> TestResult:
31 | """Imagine it is a fetch function and we would like to implement rate limiter to it."""
32 | format_time = "%H:%M:%S"
33 | start = datetime.utcnow().strftime(format_time)
34 | time.sleep(time_to_complete)
35 | end = datetime.utcnow().strftime(format_time)
36 | result = x + y + z - z - y # = x
37 |
38 | return TestResult(result, start, end)
39 |
40 |
41 | def worker(q: Queue) -> None:
42 | """Workers which do some stuff."""
43 | while True:
44 | item = q.get()
45 | res = some_func(*item)
46 | print(f"Result: {res.res} | {res.start} - {res.end}")
47 | q.task_done()
48 |
49 |
50 | def main_entry_point() -> None:
51 | """Main entry point of our multithreading app."""
52 | q = Queue()
53 | for task in TASKS_TO_COMPLETE:
54 | q.put(task)
55 |
56 | # use LIMITER as context manager to ensure its correct activation and end of work
57 | with LIMITER:
58 | for _ in range(1, WORKER_NUM + 1):
59 | Thread(target=worker, args=(q, ), daemon=True).start()
60 |
61 | q.join()
62 |
63 |
64 | if __name__ == '__main__':
65 | start_t = time.monotonic()
66 | main_entry_point()
67 | print(f"Time passed: {time.monotonic() - start_t}")
68 |
--------------------------------------------------------------------------------
/setup.py:
--------------------------------------------------------------------------------
1 | import os
2 | from setuptools import setup, find_packages
3 | from importlib.machinery import SourceFileLoader
4 |
5 |
6 | module = SourceFileLoader(
7 | "bucketratelimiter", os.path.join("bucketratelimiter", "version.py")
8 | ).load_module()
9 |
10 |
11 | setup(
12 | name=module.__name__,
13 | version=module.__version__,
14 | author=module.__author__,
15 | author_email=module.author_email,
16 | license=module.package_license,
17 | description=module.package_info,
18 | long_description_content_type="text/markdown",
19 | long_description=open("README.md").read(),
20 | platforms="all",
21 | classifiers=[
22 | "License :: OSI Approved :: GNU Affero General Public License v3",
23 | "Topic :: Internet",
24 | "Topic :: Software Development",
25 | "Topic :: Software Development :: Libraries",
26 | "Intended Audience :: Developers",
27 | "Natural Language :: English",
28 | "Operating System :: MacOS",
29 | "Operating System :: POSIX",
30 | "Operating System :: Microsoft",
31 | "Programming Language :: Python",
32 | "Programming Language :: Python :: 3",
33 | "Programming Language :: Python :: 3.6",
34 | "Programming Language :: Python :: 3.7",
35 | "Programming Language :: Python :: 3.8",
36 | "Programming Language :: Python :: 3.9",
37 | "Programming Language :: Python :: 3.10",
38 | "Programming Language :: Python :: Implementation :: CPython",
39 | ],
40 | packages=find_packages(exclude=["tests", "examples"]),
41 | package_data={"bucketratelimiter": ["py.typed"]},
42 | install_requires=[],
43 | python_requires=">=3.6, <4",
44 | extras_require={
45 | "develop": [
46 | "mypy",
47 | "pytest-cov",
48 | "pytest-asyncio",
49 | ],
50 | },
51 | project_urls={
52 | "Documentation": "https://github.com/ArtyomKozyrev8/BucketRateLimiter/",
53 | "Source": "https://github.com/ArtyomKozyrev8/BucketRateLimiter/",
54 | },
55 | )
56 |
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/tests/__init__.py:
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https://raw.githubusercontent.com/ArtyomKozyrev8/BucketRateLimiter/36507e3cf0fe1072a71d7744d5ad0f88f3dccf32/tests/__init__.py
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/tests/test_asyncio_bucket.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | from time import monotonic
3 | from typing import NamedTuple, Callable, Union, Awaitable, Coroutine
4 |
5 | import pytest
6 |
7 | from bucketratelimiter import AsyncioBucketTimeRateLimiter
8 |
9 |
10 | AsyncFuncType = Callable[..., Union[Awaitable, Coroutine]]
11 |
12 |
13 | class EnvironmentParams(NamedTuple):
14 | max_bucket_size: int
15 | recovery_time: float
16 | use_callback_func: bool
17 | workers_number: int
18 | tasks_number: int
19 | time_to_finish_one_task: float
20 | expected_finish_time: int
21 |
22 |
23 | def callback_func() -> None:
24 | return
25 |
26 |
27 | async def worker(q: asyncio.Queue, func: AsyncioBucketTimeRateLimiter, sleep_time: float = 1.0) -> None:
28 | while True:
29 | await q.get()
30 | await func(sleep_time)
31 | q.task_done()
32 |
33 |
34 | async def main_entry_point(env_params: EnvironmentParams, broken_reactivate_task: bool = False) -> int:
35 | """Main entry point of our asyncio tests."""
36 | e = env_params
37 |
38 | callback = None
39 | if e.use_callback_func:
40 | callback = callback_func
41 |
42 | bucket = AsyncioBucketTimeRateLimiter(max_size=e.max_bucket_size, recovery_time=e.recovery_time, callback=callback)
43 |
44 | @bucket
45 | async def some_func_to_limit(sleep_time: float = 1.0) -> None:
46 | await asyncio.sleep(sleep_time)
47 | return
48 |
49 | start = monotonic()
50 | print(start)
51 | q = asyncio.Queue()
52 | for task in range(e.tasks_number):
53 | await q.put(task) # send all tasks to the Queue
54 |
55 | asyncio_tasks_to_cancel = []
56 | async with bucket:
57 | for w in [
58 | worker(q, some_func_to_limit, e.time_to_finish_one_task) for _ in range(e.workers_number)
59 | ]:
60 | asyncio_tasks_to_cancel.append(asyncio.ensure_future(w))
61 |
62 | await q.join() # wait until all task in queue were done
63 | if broken_reactivate_task:
64 | bucket.reactivate_task = None
65 |
66 | [i.cancel() for i in asyncio_tasks_to_cancel]
67 | return int(monotonic() - start)
68 |
69 |
70 | @pytest.mark.asyncio
71 | async def test_wrapper_main_entry_point_1():
72 | e = EnvironmentParams(
73 | max_bucket_size=4,
74 | recovery_time=1.0,
75 | use_callback_func=True,
76 | workers_number=30,
77 | tasks_number=20,
78 | time_to_finish_one_task=1.0,
79 | expected_finish_time=5,
80 | )
81 | res = await main_entry_point(e)
82 | assert e.expected_finish_time == res
83 |
84 |
85 | @pytest.mark.asyncio
86 | async def test_wrapper_main_entry_point_2():
87 | e = EnvironmentParams(
88 | max_bucket_size=10,
89 | recovery_time=1.0,
90 | use_callback_func=False,
91 | workers_number=30,
92 | tasks_number=20,
93 | time_to_finish_one_task=1.0,
94 | expected_finish_time=2,
95 | )
96 | res = await main_entry_point(e)
97 | assert e.expected_finish_time == res
98 |
99 |
100 | @pytest.mark.asyncio
101 | async def test_wrapper_main_entry_point_3():
102 | e = EnvironmentParams(
103 | max_bucket_size=2,
104 | recovery_time=1.0,
105 | use_callback_func=False,
106 | workers_number=30,
107 | tasks_number=20,
108 | time_to_finish_one_task=1.0,
109 | expected_finish_time=10,
110 | )
111 | res = await main_entry_point(e)
112 | assert e.expected_finish_time == res
113 |
114 |
115 | @pytest.mark.asyncio
116 | async def test_wrapper_main_entry_point_4():
117 | e = EnvironmentParams(
118 | max_bucket_size=10,
119 | recovery_time=1.0,
120 | use_callback_func=False,
121 | workers_number=30,
122 | tasks_number=20,
123 | time_to_finish_one_task=1.0,
124 | expected_finish_time=2,
125 | )
126 | res = await main_entry_point(e, broken_reactivate_task=True)
127 | assert e.expected_finish_time == res
128 |
129 |
130 | @pytest.mark.asyncio
131 | async def test_wrapper_main_entry_point_5():
132 | e = EnvironmentParams(
133 | max_bucket_size=10,
134 | recovery_time=1.0,
135 | use_callback_func=False,
136 | workers_number=30,
137 | tasks_number=60,
138 | time_to_finish_one_task=1.0,
139 | expected_finish_time=6,
140 | )
141 | res = await main_entry_point(e)
142 | assert e.expected_finish_time == res
143 |
144 |
145 | @pytest.mark.asyncio
146 | async def test_wrapper_main_entry_point_6():
147 | e = EnvironmentParams(
148 | max_bucket_size=10,
149 | recovery_time=1.0,
150 | use_callback_func=False,
151 | workers_number=30,
152 | tasks_number=20,
153 | time_to_finish_one_task=2.0,
154 | expected_finish_time=3,
155 | )
156 | res = await main_entry_point(e)
157 | assert e.expected_finish_time == res
158 |
159 |
160 | @pytest.mark.asyncio
161 | async def test_wrapper_main_entry_point_7():
162 | e = EnvironmentParams(
163 | max_bucket_size=10,
164 | recovery_time=1.0,
165 | use_callback_func=False,
166 | workers_number=30,
167 | tasks_number=20,
168 | time_to_finish_one_task=5.0,
169 | expected_finish_time=6,
170 | )
171 | res = await main_entry_point(e)
172 | assert e.expected_finish_time == res
173 |
174 |
175 | @pytest.mark.asyncio
176 | async def test_wrapper_main_entry_point_8():
177 | e = EnvironmentParams(
178 | max_bucket_size=5,
179 | recovery_time=1.0,
180 | use_callback_func=False,
181 | workers_number=30,
182 | tasks_number=20,
183 | time_to_finish_one_task=5.0,
184 | expected_finish_time=8,
185 | )
186 | res = await main_entry_point(e)
187 | assert e.expected_finish_time == res
188 |
189 |
190 | def test__decrement():
191 | bucket = AsyncioBucketTimeRateLimiter(max_size=1)
192 | for i in range(10):
193 | bucket._decrement()
194 |
--------------------------------------------------------------------------------
/tests/test_mthreaded_bucket.py:
--------------------------------------------------------------------------------
1 | from queue import Queue
2 | from typing import NamedTuple
3 | from time import sleep, monotonic
4 | from threading import Thread
5 |
6 | from bucketratelimiter import MThreadedBucketTimeRateLimiter
7 |
8 |
9 | def test__decrement():
10 | bucket = MThreadedBucketTimeRateLimiter(max_size=4)
11 | for i in range(10):
12 | bucket._decrement()
13 |
14 |
15 | class EnvironmentParams(NamedTuple):
16 | max_bucket_size: int
17 | recovery_time: float
18 | use_callback_func: bool
19 | workers_number: int
20 | tasks_number: int
21 | time_to_finish_one_task: float
22 | expected_finish_time: int
23 |
24 |
25 | def callback_func() -> None:
26 | return
27 |
28 |
29 | def worker(q: Queue, func: MThreadedBucketTimeRateLimiter, sleep_time: float = 1.0) -> None:
30 | while True:
31 | q.get()
32 | func(sleep_time)
33 | q.task_done()
34 |
35 |
36 | def main_entry_point(env_params: EnvironmentParams, broken_reactivate_task: bool = False) -> int:
37 | """Main entry point of our asyncio tests."""
38 | e = env_params
39 |
40 | callback = None
41 | if e.use_callback_func:
42 | callback = callback_func
43 |
44 | bucket = MThreadedBucketTimeRateLimiter(
45 | max_size=e.max_bucket_size,
46 | recovery_time=e.recovery_time,
47 | callback=callback,
48 | )
49 |
50 | @bucket
51 | def some_func_to_limit(sleep_time: float = 1.0) -> None:
52 | sleep(sleep_time)
53 | return
54 |
55 | start = monotonic()
56 | q = Queue()
57 | for task in range(e.tasks_number):
58 | q.put(task) # send all tasks to the Queue
59 |
60 | with bucket:
61 | for w in range(e.workers_number):
62 | Thread(target=worker, args=(q, some_func_to_limit, e.time_to_finish_one_task, ), daemon=True).start()
63 |
64 | q.join() # wait until all task in queue were done
65 |
66 | if broken_reactivate_task:
67 | bucket.event_full_stop.clear()
68 | bucket.reactivate_task = None
69 |
70 | return int(monotonic() - start)
71 |
72 |
73 | def test_wrapper_main_entry_point_1():
74 | e = EnvironmentParams(
75 | max_bucket_size=4,
76 | recovery_time=1.0,
77 | use_callback_func=True,
78 | workers_number=30,
79 | tasks_number=20,
80 | time_to_finish_one_task=1.0,
81 | expected_finish_time=5,
82 | )
83 | res = main_entry_point(e)
84 | assert e.expected_finish_time == res
85 |
86 |
87 | def test_wrapper_main_entry_point_2():
88 | e = EnvironmentParams(
89 | max_bucket_size=10,
90 | recovery_time=1.0,
91 | use_callback_func=False,
92 | workers_number=30,
93 | tasks_number=20,
94 | time_to_finish_one_task=1.0,
95 | expected_finish_time=2,
96 | )
97 | res = main_entry_point(e)
98 | assert e.expected_finish_time == res
99 |
100 |
101 | def test_wrapper_main_entry_point_3():
102 | e = EnvironmentParams(
103 | max_bucket_size=2,
104 | recovery_time=1.0,
105 | use_callback_func=False,
106 | workers_number=30,
107 | tasks_number=20,
108 | time_to_finish_one_task=1.0,
109 | expected_finish_time=10,
110 | )
111 | res = main_entry_point(e)
112 | assert e.expected_finish_time == res
113 |
114 |
115 | def test_wrapper_main_entry_point_4():
116 | e = EnvironmentParams(
117 | max_bucket_size=10,
118 | recovery_time=1.0,
119 | use_callback_func=False,
120 | workers_number=30,
121 | tasks_number=20,
122 | time_to_finish_one_task=1.0,
123 | expected_finish_time=2,
124 | )
125 | res = main_entry_point(e, broken_reactivate_task=True)
126 | assert e.expected_finish_time == res
127 |
128 |
129 | def test_wrapper_main_entry_point_5():
130 | e = EnvironmentParams(
131 | max_bucket_size=10,
132 | recovery_time=1.0,
133 | use_callback_func=False,
134 | workers_number=30,
135 | tasks_number=60,
136 | time_to_finish_one_task=1.0,
137 | expected_finish_time=6,
138 | )
139 | res = main_entry_point(e)
140 | assert e.expected_finish_time == res
141 |
142 |
143 | def test_wrapper_main_entry_point_6():
144 | e = EnvironmentParams(
145 | max_bucket_size=10,
146 | recovery_time=1.0,
147 | use_callback_func=False,
148 | workers_number=30,
149 | tasks_number=20,
150 | time_to_finish_one_task=2.0,
151 | expected_finish_time=3,
152 | )
153 | res = main_entry_point(e)
154 | assert e.expected_finish_time == res
155 |
156 |
157 | def test_wrapper_main_entry_point_7():
158 | e = EnvironmentParams(
159 | max_bucket_size=10,
160 | recovery_time=1.0,
161 | use_callback_func=False,
162 | workers_number=30,
163 | tasks_number=20,
164 | time_to_finish_one_task=5.0,
165 | expected_finish_time=6,
166 | )
167 | res = main_entry_point(e)
168 | assert e.expected_finish_time == res
169 |
170 |
171 | def test_wrapper_main_entry_point_8():
172 | e = EnvironmentParams(
173 | max_bucket_size=5,
174 | recovery_time=1.0,
175 | use_callback_func=False,
176 | workers_number=30,
177 | tasks_number=20,
178 | time_to_finish_one_task=5.0,
179 | expected_finish_time=8,
180 | )
181 | res = main_entry_point(e)
182 | assert e.expected_finish_time == res
183 |
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