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Merge pull request 'master' (#32) from master into prod

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Reviewed-on: #32
This commit is contained in:
emmatveev 2024-12-28 22:49:31 +03:00
commit 91a939f77a
2547 changed files with 562574 additions and 5 deletions
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4
.gitignore vendored
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@ -37,7 +37,7 @@ develop-eggs/
downloads/
eggs/
.eggs/
lib/
# lib/
lib64/
parts/
sdist/
@ -82,7 +82,7 @@ celerybeat-schedule.*
.venv
env/
ENV/
venv/
# venv/
env.bak/
venv.bak/

6
Dockerfile
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@ -3,11 +3,11 @@ FROM python:3.12
RUN mkdir /usr/src/app
WORKDIR /usr/src/app
COPY requirements.txt requirements.txt
RUN pip install -r requirements.txt
# COPY requirements.txt requirements.txt
# RUN pip install -r requirements.txt
COPY . .
ENV PYTHONUNBUFFERED=1
ENTRYPOINT ["python", "main.py"]
ENTRYPOINT ["venv/bin/python", "main.py"]

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venv/bin/Activate.ps1 Normal file
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<#
.Synopsis
Activate a Python virtual environment for the current PowerShell session.
.Description
Pushes the python executable for a virtual environment to the front of the
$Env:PATH environment variable and sets the prompt to signify that you are
in a Python virtual environment. Makes use of the command line switches as
well as the `pyvenv.cfg` file values present in the virtual environment.
.Parameter VenvDir
Path to the directory that contains the virtual environment to activate. The
default value for this is the parent of the directory that the Activate.ps1
script is located within.
.Parameter Prompt
The prompt prefix to display when this virtual environment is activated. By
default, this prompt is the name of the virtual environment folder (VenvDir)
surrounded by parentheses and followed by a single space (ie. '(.venv) ').
.Example
Activate.ps1
Activates the Python virtual environment that contains the Activate.ps1 script.
.Example
Activate.ps1 -Verbose
Activates the Python virtual environment that contains the Activate.ps1 script,
and shows extra information about the activation as it executes.
.Example
Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
Activates the Python virtual environment located in the specified location.
.Example
Activate.ps1 -Prompt "MyPython"
Activates the Python virtual environment that contains the Activate.ps1 script,
and prefixes the current prompt with the specified string (surrounded in
parentheses) while the virtual environment is active.
.Notes
On Windows, it may be required to enable this Activate.ps1 script by setting the
execution policy for the user. You can do this by issuing the following PowerShell
command:
PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
For more information on Execution Policies:
https://go.microsoft.com/fwlink/?LinkID=135170
#>
Param(
[Parameter(Mandatory = $false)]
[String]
$VenvDir,
[Parameter(Mandatory = $false)]
[String]
$Prompt
)
<# Function declarations --------------------------------------------------- #>
<#
.Synopsis
Remove all shell session elements added by the Activate script, including the
addition of the virtual environment's Python executable from the beginning of
the PATH variable.
.Parameter NonDestructive
If present, do not remove this function from the global namespace for the
session.
#>
function global:deactivate ([switch]$NonDestructive) {
# Revert to original values
# The prior prompt:
if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
}
# The prior PYTHONHOME:
if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
}
# The prior PATH:
if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
Remove-Item -Path Env:_OLD_VIRTUAL_PATH
}
# Just remove the VIRTUAL_ENV altogether:
if (Test-Path -Path Env:VIRTUAL_ENV) {
Remove-Item -Path env:VIRTUAL_ENV
}
# Just remove VIRTUAL_ENV_PROMPT altogether.
if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
Remove-Item -Path env:VIRTUAL_ENV_PROMPT
}
# Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
}
# Leave deactivate function in the global namespace if requested:
if (-not $NonDestructive) {
Remove-Item -Path function:deactivate
}
}
<#
.Description
Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
given folder, and returns them in a map.
For each line in the pyvenv.cfg file, if that line can be parsed into exactly
two strings separated by `=` (with any amount of whitespace surrounding the =)
then it is considered a `key = value` line. The left hand string is the key,
the right hand is the value.
If the value starts with a `'` or a `"` then the first and last character is
stripped from the value before being captured.
.Parameter ConfigDir
Path to the directory that contains the `pyvenv.cfg` file.
#>
function Get-PyVenvConfig(
[String]
$ConfigDir
) {
Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
# Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
$pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
# An empty map will be returned if no config file is found.
$pyvenvConfig = @{ }
if ($pyvenvConfigPath) {
Write-Verbose "File exists, parse `key = value` lines"
$pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
$pyvenvConfigContent | ForEach-Object {
$keyval = $PSItem -split "\s*=\s*", 2
if ($keyval[0] -and $keyval[1]) {
$val = $keyval[1]
# Remove extraneous quotations around a string value.
if ("'""".Contains($val.Substring(0, 1))) {
$val = $val.Substring(1, $val.Length - 2)
}
$pyvenvConfig[$keyval[0]] = $val
Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
}
}
}
return $pyvenvConfig
}
<# Begin Activate script --------------------------------------------------- #>
# Determine the containing directory of this script
$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
$VenvExecDir = Get-Item -Path $VenvExecPath
Write-Verbose "Activation script is located in path: '$VenvExecPath'"
Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
# Set values required in priority: CmdLine, ConfigFile, Default
# First, get the location of the virtual environment, it might not be
# VenvExecDir if specified on the command line.
if ($VenvDir) {
Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
}
else {
Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
$VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
Write-Verbose "VenvDir=$VenvDir"
}
# Next, read the `pyvenv.cfg` file to determine any required value such
# as `prompt`.
$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
# Next, set the prompt from the command line, or the config file, or
# just use the name of the virtual environment folder.
if ($Prompt) {
Write-Verbose "Prompt specified as argument, using '$Prompt'"
}
else {
Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
$Prompt = $pyvenvCfg['prompt'];
}
else {
Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
$Prompt = Split-Path -Path $venvDir -Leaf
}
}
Write-Verbose "Prompt = '$Prompt'"
Write-Verbose "VenvDir='$VenvDir'"
# Deactivate any currently active virtual environment, but leave the
# deactivate function in place.
deactivate -nondestructive
# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
# that there is an activated venv.
$env:VIRTUAL_ENV = $VenvDir
if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
Write-Verbose "Setting prompt to '$Prompt'"
# Set the prompt to include the env name
# Make sure _OLD_VIRTUAL_PROMPT is global
function global:_OLD_VIRTUAL_PROMPT { "" }
Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
function global:prompt {
Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
_OLD_VIRTUAL_PROMPT
}
$env:VIRTUAL_ENV_PROMPT = $Prompt
}
# Clear PYTHONHOME
if (Test-Path -Path Env:PYTHONHOME) {
Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
Remove-Item -Path Env:PYTHONHOME
}
# Add the venv to the PATH
Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"

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venv/bin/activate Normal file
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@ -0,0 +1,63 @@
# This file must be used with "source bin/activate" *from bash*
# you cannot run it directly
deactivate () {
# reset old environment variables
if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
PATH="${_OLD_VIRTUAL_PATH:-}"
export PATH
unset _OLD_VIRTUAL_PATH
fi
if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
export PYTHONHOME
unset _OLD_VIRTUAL_PYTHONHOME
fi
# Call hash to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
hash -r 2> /dev/null
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
PS1="${_OLD_VIRTUAL_PS1:-}"
export PS1
unset _OLD_VIRTUAL_PS1
fi
unset VIRTUAL_ENV
unset VIRTUAL_ENV_PROMPT
if [ ! "${1:-}" = "nondestructive" ] ; then
# Self destruct!
unset -f deactivate
fi
}
# unset irrelevant variables
deactivate nondestructive
VIRTUAL_ENV=/Users/e.matveev/sprint/queues/venv
export VIRTUAL_ENV
_OLD_VIRTUAL_PATH="$PATH"
PATH="$VIRTUAL_ENV/"bin":$PATH"
export PATH
# unset PYTHONHOME if set
# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
# could use `if (set -u; : $PYTHONHOME) ;` in bash
if [ -n "${PYTHONHOME:-}" ] ; then
_OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
unset PYTHONHOME
fi
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
_OLD_VIRTUAL_PS1="${PS1:-}"
PS1='(venv) '"${PS1:-}"
export PS1
VIRTUAL_ENV_PROMPT='(venv) '
export VIRTUAL_ENV_PROMPT
fi
# Call hash to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
hash -r 2> /dev/null

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venv/bin/activate.csh Normal file
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@ -0,0 +1,26 @@
# This file must be used with "source bin/activate.csh" *from csh*.
# You cannot run it directly.
# Created by Davide Di Blasi <davidedb@gmail.com>.
# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
# Unset irrelevant variables.
deactivate nondestructive
setenv VIRTUAL_ENV /Users/e.matveev/sprint/queues/venv
set _OLD_VIRTUAL_PATH="$PATH"
setenv PATH "$VIRTUAL_ENV/"bin":$PATH"
set _OLD_VIRTUAL_PROMPT="$prompt"
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
set prompt = '(venv) '"$prompt"
setenv VIRTUAL_ENV_PROMPT '(venv) '
endif
alias pydoc python -m pydoc
rehash

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venv/bin/activate.fish Normal file
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@ -0,0 +1,69 @@
# This file must be used with "source <venv>/bin/activate.fish" *from fish*
# (https://fishshell.com/); you cannot run it directly.
function deactivate -d "Exit virtual environment and return to normal shell environment"
# reset old environment variables
if test -n "$_OLD_VIRTUAL_PATH"
set -gx PATH $_OLD_VIRTUAL_PATH
set -e _OLD_VIRTUAL_PATH
end
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
set -e _OLD_VIRTUAL_PYTHONHOME
end
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
set -e _OLD_FISH_PROMPT_OVERRIDE
# prevents error when using nested fish instances (Issue #93858)
if functions -q _old_fish_prompt
functions -e fish_prompt
functions -c _old_fish_prompt fish_prompt
functions -e _old_fish_prompt
end
end
set -e VIRTUAL_ENV
set -e VIRTUAL_ENV_PROMPT
if test "$argv[1]" != "nondestructive"
# Self-destruct!
functions -e deactivate
end
end
# Unset irrelevant variables.
deactivate nondestructive
set -gx VIRTUAL_ENV /Users/e.matveev/sprint/queues/venv
set -gx _OLD_VIRTUAL_PATH $PATH
set -gx PATH "$VIRTUAL_ENV/"bin $PATH
# Unset PYTHONHOME if set.
if set -q PYTHONHOME
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
set -e PYTHONHOME
end
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
# fish uses a function instead of an env var to generate the prompt.
# Save the current fish_prompt function as the function _old_fish_prompt.
functions -c fish_prompt _old_fish_prompt
# With the original prompt function renamed, we can override with our own.
function fish_prompt
# Save the return status of the last command.
set -l old_status $status
# Output the venv prompt; color taken from the blue of the Python logo.
printf "%s%s%s" (set_color 4B8BBE) '(venv) ' (set_color normal)
# Restore the return status of the previous command.
echo "exit $old_status" | .
# Output the original/"old" prompt.
_old_fish_prompt
end
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
set -gx VIRTUAL_ENV_PROMPT '(venv) '
end

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venv/bin/fastapi Executable file
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#!/Users/e.matveev/sprint/queues/venv/bin/python3.11
# -*- coding: utf-8 -*-
import re
import sys
from fastapi.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/bin/normalizer Executable file
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@ -0,0 +1,8 @@
#!/Users/e.matveev/sprint/queues/venv/bin/python3.11
# -*- coding: utf-8 -*-
import re
import sys
from charset_normalizer import cli
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(cli.cli_detect())

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venv/bin/pip Executable file
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@ -0,0 +1,8 @@
#!/Users/e.matveev/sprint/queues/venv/bin/python3.11
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/bin/pip3 Executable file
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@ -0,0 +1,8 @@
#!/Users/e.matveev/sprint/queues/venv/bin/python3.11
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/bin/pip3.11 Executable file
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@ -0,0 +1,8 @@
#!/Users/e.matveev/sprint/queues/venv/bin/python3.11
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/bin/python Symbolic link
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python3.11

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venv/bin/python3 Symbolic link
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python3.11

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venv/bin/python3.11 Symbolic link
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@ -0,0 +1 @@
/opt/homebrew/opt/python@3.11/bin/python3.11

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venv/bin/uvicorn Executable file
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@ -0,0 +1,8 @@
#!/Users/e.matveev/sprint/queues/venv/bin/python3.11
# -*- coding: utf-8 -*-
import re
import sys
from uvicorn.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

1
venv/lib/python3.11/site-packages/APScheduler-3.10.4.dist-info/INSTALLER Normal file
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pip

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venv/lib/python3.11/site-packages/APScheduler-3.10.4.dist-info/LICENSE.txt Normal file
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@ -0,0 +1,19 @@
This is the MIT license: http://www.opensource.org/licenses/mit-license.php
Copyright (c) Alex Grönholm
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.

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venv/lib/python3.11/site-packages/APScheduler-3.10.4.dist-info/METADATA Normal file
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Metadata-Version: 2.1
Name: APScheduler
Version: 3.10.4
Summary: In-process task scheduler with Cron-like capabilities
Home-page: https://github.com/agronholm/apscheduler
Author: Alex Grönholm
Author-email: apscheduler@nextday.fi
License: MIT
Keywords: scheduling cron
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.6
License-File: LICENSE.txt
Requires-Dist: six >=1.4.0
Requires-Dist: pytz
Requires-Dist: tzlocal !=3.*,>=2.0
Requires-Dist: importlib-metadata >=3.6.0 ; python_version < "3.8"
Provides-Extra: doc
Requires-Dist: sphinx ; extra == 'doc'
Requires-Dist: sphinx-rtd-theme ; extra == 'doc'
Provides-Extra: gevent
Requires-Dist: gevent ; extra == 'gevent'
Provides-Extra: mongodb
Requires-Dist: pymongo >=3.0 ; extra == 'mongodb'
Provides-Extra: redis
Requires-Dist: redis >=3.0 ; extra == 'redis'
Provides-Extra: rethinkdb
Requires-Dist: rethinkdb >=2.4.0 ; extra == 'rethinkdb'
Provides-Extra: sqlalchemy
Requires-Dist: sqlalchemy >=1.4 ; extra == 'sqlalchemy'
Provides-Extra: testing
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: pytest-asyncio ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'
Requires-Dist: pytest-tornado5 ; extra == 'testing'
Provides-Extra: tornado
Requires-Dist: tornado >=4.3 ; extra == 'tornado'
Provides-Extra: twisted
Requires-Dist: twisted ; extra == 'twisted'
Provides-Extra: zookeeper
Requires-Dist: kazoo ; extra == 'zookeeper'
.. image:: https://github.com/agronholm/apscheduler/workflows/Python%20codeqa/test/badge.svg?branch=3.x
:target: https://github.com/agronholm/apscheduler/actions?query=workflow%3A%22Python+codeqa%2Ftest%22+branch%3A3.x
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/apscheduler/badge.svg?branch=3.x
:target: https://coveralls.io/github/agronholm/apscheduler?branch=3.x
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/apscheduler/badge/?version=3.x
:target: https://apscheduler.readthedocs.io/en/master/?badge=3.x
:alt: Documentation
Advanced Python Scheduler (APScheduler) is a Python library that lets you schedule your Python code
to be executed later, either just once or periodically. You can add new jobs or remove old ones on
the fly as you please. If you store your jobs in a database, they will also survive scheduler
restarts and maintain their state. When the scheduler is restarted, it will then run all the jobs
it should have run while it was offline [#f1]_.
Among other things, APScheduler can be used as a cross-platform, application specific replacement
to platform specific schedulers, such as the cron daemon or the Windows task scheduler. Please
note, however, that APScheduler is **not** a daemon or service itself, nor does it come with any
command line tools. It is primarily meant to be run inside existing applications. That said,
APScheduler does provide some building blocks for you to build a scheduler service or to run a
dedicated scheduler process.
APScheduler has three built-in scheduling systems you can use:
* Cron-style scheduling (with optional start/end times)
* Interval-based execution (runs jobs on even intervals, with optional start/end times)
* One-off delayed execution (runs jobs once, on a set date/time)
You can mix and match scheduling systems and the backends where the jobs are stored any way you
like. Supported backends for storing jobs include:
* Memory
* `SQLAlchemy <http://www.sqlalchemy.org/>`_ (any RDBMS supported by SQLAlchemy works)
* `MongoDB <http://www.mongodb.org/>`_
* `Redis <http://redis.io/>`_
* `RethinkDB <https://www.rethinkdb.com/>`_
* `ZooKeeper <https://zookeeper.apache.org/>`_
APScheduler also integrates with several common Python frameworks, like:
* `asyncio <http://docs.python.org/3.4/library/asyncio.html>`_ (:pep:`3156`)
* `gevent <http://www.gevent.org/>`_
* `Tornado <http://www.tornadoweb.org/>`_
* `Twisted <http://twistedmatrix.com/>`_
* `Qt <http://qt-project.org/>`_ (using either
`PyQt <http://www.riverbankcomputing.com/software/pyqt/intro>`_ ,
`PySide6 <https://wiki.qt.io/Qt_for_Python>`_ ,
`PySide2 <https://wiki.qt.io/Qt_for_Python>`_ or
`PySide <http://qt-project.org/wiki/PySide>`_)
There are third party solutions for integrating APScheduler with other frameworks:
* `Django <https://github.com/jarekwg/django-apscheduler>`_
* `Flask <https://github.com/viniciuschiele/flask-apscheduler>`_
.. [#f1] The cutoff period for this is also configurable.
Documentation
-------------
Documentation can be found `here <https://apscheduler.readthedocs.io/>`_.
Source
------
The source can be browsed at `Github <https://github.com/agronholm/apscheduler/tree/3.x>`_.
Reporting bugs
--------------
A `bug tracker <https://github.com/agronholm/apscheduler/issues>`_ is provided by Github.
Getting help
------------
If you have problems or other questions, you can either:
* Ask in the `apscheduler <https://gitter.im/apscheduler/Lobby>`_ room on Gitter
* Ask on the `APScheduler GitHub discussion forum <https://github.com/agronholm/apscheduler/discussions>`_, or
* Ask on `StackOverflow <http://stackoverflow.com/questions/tagged/apscheduler>`_ and tag your
question with the ``apscheduler`` tag

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Wheel-Version: 1.0
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Root-Is-Purelib: true
Tag: py3-none-any

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[apscheduler.executors]
asyncio = apscheduler.executors.asyncio:AsyncIOExecutor [asyncio]
debug = apscheduler.executors.debug:DebugExecutor
gevent = apscheduler.executors.gevent:GeventExecutor [gevent]
processpool = apscheduler.executors.pool:ProcessPoolExecutor
threadpool = apscheduler.executors.pool:ThreadPoolExecutor
tornado = apscheduler.executors.tornado:TornadoExecutor [tornado]
twisted = apscheduler.executors.twisted:TwistedExecutor [twisted]
[apscheduler.jobstores]
memory = apscheduler.jobstores.memory:MemoryJobStore
mongodb = apscheduler.jobstores.mongodb:MongoDBJobStore [mongodb]
redis = apscheduler.jobstores.redis:RedisJobStore [redis]
rethinkdb = apscheduler.jobstores.rethinkdb:RethinkDBJobStore [rethinkdb]
sqlalchemy = apscheduler.jobstores.sqlalchemy:SQLAlchemyJobStore [sqlalchemy]
zookeeper = apscheduler.jobstores.zookeeper:ZooKeeperJobStore [zookeeper]
[apscheduler.triggers]
and = apscheduler.triggers.combining:AndTrigger
cron = apscheduler.triggers.cron:CronTrigger
date = apscheduler.triggers.date:DateTrigger
interval = apscheduler.triggers.interval:IntervalTrigger
or = apscheduler.triggers.combining:OrTrigger

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# don't import any costly modules
import os
import sys
report_url = (
"https://github.com/pypa/setuptools/issues/new?template=distutils-deprecation.yml"
)
def warn_distutils_present():
if 'distutils' not in sys.modules:
return
import warnings
warnings.warn(
"Distutils was imported before Setuptools, but importing Setuptools "
"also replaces the `distutils` module in `sys.modules`. This may lead "
"to undesirable behaviors or errors. To avoid these issues, avoid "
"using distutils directly, ensure that setuptools is installed in the "
"traditional way (e.g. not an editable install), and/or make sure "
"that setuptools is always imported before distutils."
)
def clear_distutils():
if 'distutils' not in sys.modules:
return
import warnings
warnings.warn(
"Setuptools is replacing distutils. Support for replacing "
"an already imported distutils is deprecated. In the future, "
"this condition will fail. "
f"Register concerns at {report_url}"
)
mods = [
name
for name in sys.modules
if name == "distutils" or name.startswith("distutils.")
]
for name in mods:
del sys.modules[name]
def enabled():
"""
Allow selection of distutils by environment variable.
"""
which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')
if which == 'stdlib':
import warnings
warnings.warn(
"Reliance on distutils from stdlib is deprecated. Users "
"must rely on setuptools to provide the distutils module. "
"Avoid importing distutils or import setuptools first, "
"and avoid setting SETUPTOOLS_USE_DISTUTILS=stdlib. "
f"Register concerns at {report_url}"
)
return which == 'local'
def ensure_local_distutils():
import importlib
clear_distutils()
# With the DistutilsMetaFinder in place,
# perform an import to cause distutils to be
# loaded from setuptools._distutils. Ref #2906.
with shim():
importlib.import_module('distutils')
# check that submodules load as expected
core = importlib.import_module('distutils.core')
assert '_distutils' in core.__file__, core.__file__
assert 'setuptools._distutils.log' not in sys.modules
def do_override():
"""
Ensure that the local copy of distutils is preferred over stdlib.
See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401
for more motivation.
"""
if enabled():
warn_distutils_present()
ensure_local_distutils()
class _TrivialRe:
def __init__(self, *patterns) -> None:
self._patterns = patterns
def match(self, string):
return all(pat in string for pat in self._patterns)
class DistutilsMetaFinder:
def find_spec(self, fullname, path, target=None):
# optimization: only consider top level modules and those
# found in the CPython test suite.
if path is not None and not fullname.startswith('test.'):
return None
method_name = 'spec_for_{fullname}'.format(**locals())
method = getattr(self, method_name, lambda: None)
return method()
def spec_for_distutils(self):
if self.is_cpython():
return None
import importlib
import importlib.abc
import importlib.util
try:
mod = importlib.import_module('setuptools._distutils')
except Exception:
# There are a couple of cases where setuptools._distutils
# may not be present:
# - An older Setuptools without a local distutils is
# taking precedence. Ref #2957.
# - Path manipulation during sitecustomize removes
# setuptools from the path but only after the hook
# has been loaded. Ref #2980.
# In either case, fall back to stdlib behavior.
return None
class DistutilsLoader(importlib.abc.Loader):
def create_module(self, spec):
mod.__name__ = 'distutils'
return mod
def exec_module(self, module):
pass
return importlib.util.spec_from_loader(
'distutils', DistutilsLoader(), origin=mod.__file__
)
@staticmethod
def is_cpython():
"""
Suppress supplying distutils for CPython (build and tests).
Ref #2965 and #3007.
"""
return os.path.isfile('pybuilddir.txt')
def spec_for_pip(self):
"""
Ensure stdlib distutils when running under pip.
See pypa/pip#8761 for rationale.
"""
if sys.version_info >= (3, 12) or self.pip_imported_during_build():
return
clear_distutils()
self.spec_for_distutils = lambda: None
@classmethod
def pip_imported_during_build(cls):
"""
Detect if pip is being imported in a build script. Ref #2355.
"""
import traceback
return any(
cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)
)
@staticmethod
def frame_file_is_setup(frame):
"""
Return True if the indicated frame suggests a setup.py file.
"""
# some frames may not have __file__ (#2940)
return frame.f_globals.get('__file__', '').endswith('setup.py')
def spec_for_sensitive_tests(self):
"""
Ensure stdlib distutils when running select tests under CPython.
python/cpython#91169
"""
clear_distutils()
self.spec_for_distutils = lambda: None
sensitive_tests = (
[
'test.test_distutils',
'test.test_peg_generator',
'test.test_importlib',
]
if sys.version_info < (3, 10)
else [
'test.test_distutils',
]
)
for name in DistutilsMetaFinder.sensitive_tests:
setattr(
DistutilsMetaFinder,
f'spec_for_{name}',
DistutilsMetaFinder.spec_for_sensitive_tests,
)
DISTUTILS_FINDER = DistutilsMetaFinder()
def add_shim():
DISTUTILS_FINDER in sys.meta_path or insert_shim()
class shim:
def __enter__(self) -> None:
insert_shim()
def __exit__(self, exc: object, value: object, tb: object) -> None:
_remove_shim()
def insert_shim():
sys.meta_path.insert(0, DISTUTILS_FINDER)
def _remove_shim():
try:
sys.meta_path.remove(DISTUTILS_FINDER)
except ValueError:
pass
if sys.version_info < (3, 12):
# DistutilsMetaFinder can only be disabled in Python < 3.12 (PEP 632)
remove_shim = _remove_shim

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pip

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Metadata-Version: 2.3
Name: annotated-types
Version: 0.7.0
Summary: Reusable constraint types to use with typing.Annotated
Project-URL: Homepage, https://github.com/annotated-types/annotated-types
Project-URL: Source, https://github.com/annotated-types/annotated-types
Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases
Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin <s@muelcolvin.com>, Zac Hatfield-Dodds <zac@zhd.dev>
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.8
Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9'
Description-Content-Type: text/markdown
# annotated-types
[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI)
[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types)
[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types)
[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE)
[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of
adding context-specific metadata to existing types, and specifies that
`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special
logic for `x`.
This package provides metadata objects which can be used to represent common
constraints such as upper and lower bounds on scalar values and collection sizes,
a `Predicate` marker for runtime checks, and
descriptions of how we intend these metadata to be interpreted. In some cases,
we also note alternative representations which do not require this package.
## Install
```bash
pip install annotated-types
```
## Examples
```python
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
# Invalid: 17, 18, "19", 19.0, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
# Invalid: 4, 8, -2, 5.0, "prime", ...
my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50]
# Invalid: (1, 2), ["abc"], [0] * 20
```
## Documentation
_While `annotated-types` avoids runtime checks for performance, users should not
construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`.
Downstream implementors may choose to raise an error, emit a warning, silently ignore
a metadata item, etc., if the metadata objects described below are used with an
incompatible type - or for any other reason!_
### Gt, Ge, Lt, Le
Express inclusive and/or exclusive bounds on orderable values - which may be numbers,
dates, times, strings, sets, etc. Note that the boundary value need not be of the
same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]`
is fine, for example, and implies that the value is an integer x such that `x > 1.5`.
We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)`
as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on
the `annotated-types` package.
To be explicit, these types have the following meanings:
* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum
* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum
* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum
* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum
### Interval
`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single
metadata object. `None` attributes should be ignored, and non-`None` attributes
treated as per the single bounds above.
### MultipleOf
`MultipleOf(multiple_of=x)` might be interpreted in two ways:
1. Python semantics, implying `value % multiple_of == 0`, or
2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1),
where `int(value / multiple_of) == value / multiple_of`.
We encourage users to be aware of these two common interpretations and their
distinct behaviours, especially since very large or non-integer numbers make
it easy to cause silent data corruption due to floating-point imprecision.
We encourage libraries to carefully document which interpretation they implement.
### MinLen, MaxLen, Len
`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive.
As well as `Len()` which can optionally include upper and lower bounds, we also
provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)`
and `Len(max_length=y)` respectively.
`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`.
Examples of usage:
* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less
* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less
* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more
* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6
* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8
#### Changed in v0.4.0
* `min_inclusive` has been renamed to `min_length`, no change in meaning
* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive**
* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic
meaning of the upper bound in slices vs. `Len`
See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion.
### Timezone
`Timezone` can be used with a `datetime` or a `time` to express which timezones
are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime.
`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis))
expresses that any timezone-aware datetime is allowed. You may also pass a specific
timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects)
object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only
allow a specific timezone, though we note that this is often a symptom of fragile design.
#### Changed in v0.x.x
* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of
`timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries.
### Unit
`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of
a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]`
would be a float representing a velocity in meters per second.
Please note that `annotated_types` itself makes no attempt to parse or validate
the unit string in any way. That is left entirely to downstream libraries,
such as [`pint`](https://pint.readthedocs.io) or
[`astropy.units`](https://docs.astropy.org/en/stable/units/).
An example of how a library might use this metadata:
```python
from annotated_types import Unit
from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args
# given a type annotated with a unit:
Meters = Annotated[float, Unit("m")]
# you can cast the annotation to a specific unit type with any
# callable that accepts a string and returns the desired type
T = TypeVar("T")
def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None:
if get_origin(tp) is Annotated:
for arg in get_args(tp):
if isinstance(arg, Unit):
return unit_cls(arg.unit)
return None
# using `pint`
import pint
pint_unit = cast_unit(Meters, pint.Unit)
# using `astropy.units`
import astropy.units as u
astropy_unit = cast_unit(Meters, u.Unit)
```
### Predicate
`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values.
Users should prefer the statically inspectable metadata above, but if you need
the full power and flexibility of arbitrary runtime predicates... here it is.
For some common constraints, we provide generic types:
* `IsLower = Annotated[T, Predicate(str.islower)]`
* `IsUpper = Annotated[T, Predicate(str.isupper)]`
* `IsDigit = Annotated[T, Predicate(str.isdigit)]`
* `IsFinite = Annotated[T, Predicate(math.isfinite)]`
* `IsNotFinite = Annotated[T, Predicate(Not(math.isfinite))]`
* `IsNan = Annotated[T, Predicate(math.isnan)]`
* `IsNotNan = Annotated[T, Predicate(Not(math.isnan))]`
* `IsInfinite = Annotated[T, Predicate(math.isinf)]`
* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]`
so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer
(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`.
Some libraries might have special logic to handle known or understandable predicates,
for example by checking for `str.isdigit` and using its presence to both call custom
logic to enforce digit-only strings, and customise some generated external schema.
Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in
favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`.
To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting
`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object`
exception. We encourage libraries to document the behaviour they choose.
### Doc
`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used.
It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools.
It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`.
This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md).
### Integrating downstream types with `GroupedMetadata`
Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata.
This can help reduce verbosity and cognitive overhead for users.
For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata:
```python
from dataclasses import dataclass
from typing import Iterator
from annotated_types import GroupedMetadata, Ge
@dataclass
class Field(GroupedMetadata):
ge: int | None = None
description: str | None = None
def __iter__(self) -> Iterator[object]:
# Iterating over a GroupedMetadata object should yield annotated-types
# constraint metadata objects which describe it as fully as possible,
# and may include other unknown objects too.
if self.ge is not None:
yield Ge(self.ge)
if self.description is not None:
yield Description(self.description)
```
Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type. The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently.
Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself.
Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern. Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`.
### Consuming metadata
We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103).
It is up to the implementer to determine how this metadata is used.
You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases.
## Design & History
This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic
and Hypothesis, with the goal of making it as easy as possible for end-users to
provide more informative annotations for use by runtime libraries.
It is deliberately minimal, and following PEP-593 allows considerable downstream
discretion in what (if anything!) they choose to support. Nonetheless, we expect
that staying simple and covering _only_ the most common use-cases will give users
and maintainers the best experience we can. If you'd like more constraints for your
types - follow our lead, by defining them and documenting them downstream!

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Generator: hatchling 1.24.2
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Tag: py3-none-any

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The MIT License (MIT)
Copyright (c) 2022 the contributors
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.

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import math
import sys
import types
from dataclasses import dataclass
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
if sys.version_info < (3, 8):
from typing_extensions import Protocol, runtime_checkable
else:
from typing import Protocol, runtime_checkable
if sys.version_info < (3, 9):
from typing_extensions import Annotated, Literal
else:
from typing import Annotated, Literal
if sys.version_info < (3, 10):
EllipsisType = type(Ellipsis)
KW_ONLY = {}
SLOTS = {}
else:
from types import EllipsisType
KW_ONLY = {"kw_only": True}
SLOTS = {"slots": True}
__all__ = (
'BaseMetadata',
'GroupedMetadata',
'Gt',
'Ge',
'Lt',
'Le',
'Interval',
'MultipleOf',
'MinLen',
'MaxLen',
'Len',
'Timezone',
'Predicate',
'LowerCase',
'UpperCase',
'IsDigits',
'IsFinite',
'IsNotFinite',
'IsNan',
'IsNotNan',
'IsInfinite',
'IsNotInfinite',
'doc',
'DocInfo',
'__version__',
)
__version__ = '0.7.0'
T = TypeVar('T')
# arguments that start with __ are considered
# positional only
# see https://peps.python.org/pep-0484/#positional-only-arguments
class SupportsGt(Protocol):
def __gt__(self: T, __other: T) -> bool:
...
class SupportsGe(Protocol):
def __ge__(self: T, __other: T) -> bool:
...
class SupportsLt(Protocol):
def __lt__(self: T, __other: T) -> bool:
...
class SupportsLe(Protocol):
def __le__(self: T, __other: T) -> bool:
...
class SupportsMod(Protocol):
def __mod__(self: T, __other: T) -> T:
...
class SupportsDiv(Protocol):
def __div__(self: T, __other: T) -> T:
...
class BaseMetadata:
"""Base class for all metadata.
This exists mainly so that implementers
can do `isinstance(..., BaseMetadata)` while traversing field annotations.
"""
__slots__ = ()
@dataclass(frozen=True, **SLOTS)
class Gt(BaseMetadata):
"""Gt(gt=x) implies that the value must be greater than x.
It can be used with any type that supports the ``>`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
gt: SupportsGt
@dataclass(frozen=True, **SLOTS)
class Ge(BaseMetadata):
"""Ge(ge=x) implies that the value must be greater than or equal to x.
It can be used with any type that supports the ``>=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
ge: SupportsGe
@dataclass(frozen=True, **SLOTS)
class Lt(BaseMetadata):
"""Lt(lt=x) implies that the value must be less than x.
It can be used with any type that supports the ``<`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
lt: SupportsLt
@dataclass(frozen=True, **SLOTS)
class Le(BaseMetadata):
"""Le(le=x) implies that the value must be less than or equal to x.
It can be used with any type that supports the ``<=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
le: SupportsLe
@runtime_checkable
class GroupedMetadata(Protocol):
"""A grouping of multiple objects, like typing.Unpack.
`GroupedMetadata` on its own is not metadata and has no meaning.
All of the constraints and metadata should be fully expressable
in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
Concrete implementations should override `GroupedMetadata.__iter__()`
to add their own metadata.
For example:
>>> @dataclass
>>> class Field(GroupedMetadata):
>>> gt: float | None = None
>>> description: str | None = None
...
>>> def __iter__(self) -> Iterable[object]:
>>> if self.gt is not None:
>>> yield Gt(self.gt)
>>> if self.description is not None:
>>> yield Description(self.gt)
Also see the implementation of `Interval` below for an example.
Parsers should recognize this and unpack it so that it can be used
both with and without unpacking:
- `Annotated[int, Field(...)]` (parser must unpack Field)
- `Annotated[int, *Field(...)]` (PEP-646)
""" # noqa: trailing-whitespace
@property
def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
return True
def __iter__(self) -> Iterator[object]:
...
if not TYPE_CHECKING:
__slots__ = () # allow subclasses to use slots
def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
# Basic ABC like functionality without the complexity of an ABC
super().__init_subclass__(*args, **kwargs)
if cls.__iter__ is GroupedMetadata.__iter__:
raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
def __iter__(self) -> Iterator[object]: # noqa: F811
raise NotImplementedError # more helpful than "None has no attribute..." type errors
@dataclass(frozen=True, **KW_ONLY, **SLOTS)
class Interval(GroupedMetadata):
"""Interval can express inclusive or exclusive bounds with a single object.
It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
are interpreted the same way as the single-bound constraints.
"""
gt: Union[SupportsGt, None] = None
ge: Union[SupportsGe, None] = None
lt: Union[SupportsLt, None] = None
le: Union[SupportsLe, None] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack an Interval into zero or more single-bounds."""
if self.gt is not None:
yield Gt(self.gt)
if self.ge is not None:
yield Ge(self.ge)
if self.lt is not None:
yield Lt(self.lt)
if self.le is not None:
yield Le(self.le)
@dataclass(frozen=True, **SLOTS)
class MultipleOf(BaseMetadata):
"""MultipleOf(multiple_of=x) might be interpreted in two ways:
1. Python semantics, implying ``value % multiple_of == 0``, or
2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
We encourage users to be aware of these two common interpretations,
and libraries to carefully document which they implement.
"""
multiple_of: Union[SupportsDiv, SupportsMod]
@dataclass(frozen=True, **SLOTS)
class MinLen(BaseMetadata):
"""
MinLen() implies minimum inclusive length,
e.g. ``len(value) >= min_length``.
"""
min_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class MaxLen(BaseMetadata):
"""
MaxLen() implies maximum inclusive length,
e.g. ``len(value) <= max_length``.
"""
max_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class Len(GroupedMetadata):
"""
Len() implies that ``min_length <= len(value) <= max_length``.
Upper bound may be omitted or ``None`` to indicate no upper length bound.
"""
min_length: Annotated[int, Ge(0)] = 0
max_length: Optional[Annotated[int, Ge(0)]] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack a Len into zone or more single-bounds."""
if self.min_length > 0:
yield MinLen(self.min_length)
if self.max_length is not None:
yield MaxLen(self.max_length)
@dataclass(frozen=True, **SLOTS)
class Timezone(BaseMetadata):
"""Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
tz-aware but any timezone is allowed.
You may also pass a specific timezone string or tzinfo object such as
``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
you only allow a specific timezone, though we note that this is often
a symptom of poor design.
"""
tz: Union[str, tzinfo, EllipsisType, None]
@dataclass(frozen=True, **SLOTS)
class Unit(BaseMetadata):
"""Indicates that the value is a physical quantity with the specified unit.
It is intended for usage with numeric types, where the value represents the
magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
or ``speed: Annotated[float, Unit('m/s')]``.
Interpretation of the unit string is left to the discretion of the consumer.
It is suggested to follow conventions established by python libraries that work
with physical quantities, such as
- ``pint`` : <https://pint.readthedocs.io/en/stable/>
- ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
For indicating a quantity with a certain dimensionality but without a specific unit
it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
Note, however, ``annotated_types`` itself makes no use of the unit string.
"""
unit: str
@dataclass(frozen=True, **SLOTS)
class Predicate(BaseMetadata):
"""``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
Users should prefer statically inspectable metadata, but if you need the full
power and flexibility of arbitrary runtime predicates... here it is.
We provide a few predefined predicates for common string constraints:
``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
Some libraries might have special logic to handle certain predicates, e.g. by
checking for `str.isdigit` and using its presence to both call custom logic to
enforce digit-only strings, and customise some generated external schema.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting exception.
"""
func: Callable[[Any], bool]
def __repr__(self) -> str:
if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
return f"{self.__class__.__name__}({self.func!r})"
if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
namespace := getattr(self.func.__self__, "__name__", None)
):
return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
if isinstance(self.func, type(str.isascii)): # method descriptor
return f"{self.__class__.__name__}({self.func.__qualname__})"
return f"{self.__class__.__name__}({self.func.__name__})"
@dataclass
class Not:
func: Callable[[Any], bool]
def __call__(self, __v: Any) -> bool:
return not self.func(__v)
_StrType = TypeVar("_StrType", bound=str)
LowerCase = Annotated[_StrType, Predicate(str.islower)]
"""
Return True if the string is a lowercase string, False otherwise.
A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
""" # noqa: E501
UpperCase = Annotated[_StrType, Predicate(str.isupper)]
"""
Return True if the string is an uppercase string, False otherwise.
A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
""" # noqa: E501
IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
IsDigits = IsDigit # type: ignore # plural for backwards compatibility, see #63
"""
Return True if the string is a digit string, False otherwise.
A string is a digit string if all characters in the string are digits and there is at least one character in the string.
""" # noqa: E501
IsAscii = Annotated[_StrType, Predicate(str.isascii)]
"""
Return True if all characters in the string are ASCII, False otherwise.
ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
"""
_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
"""Return True if x is one of infinity or NaN, and False otherwise"""
IsNan = Annotated[_NumericType, Predicate(math.isnan)]
"""Return True if x is a NaN (not a number), and False otherwise."""
IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
"""Return True if x is anything but NaN (not a number), and False otherwise."""
IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
"""Return True if x is a positive or negative infinity, and False otherwise."""
IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
"""Return True if x is neither a positive or negative infinity, and False otherwise."""
try:
from typing_extensions import DocInfo, doc # type: ignore [attr-defined]
except ImportError:
@dataclass(frozen=True, **SLOTS)
class DocInfo: # type: ignore [no-redef]
""" "
The return value of doc(), mainly to be used by tools that want to extract the
Annotated documentation at runtime.
"""
documentation: str
"""The documentation string passed to doc()."""
def doc(
documentation: str,
) -> DocInfo:
"""
Add documentation to a type annotation inside of Annotated.
For example:
>>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
"""
return DocInfo(documentation)

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import math
import sys
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal
from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple
if sys.version_info < (3, 9):
from typing_extensions import Annotated
else:
from typing import Annotated
import annotated_types as at
class Case(NamedTuple):
"""
A test case for `annotated_types`.
"""
annotation: Any
valid_cases: Iterable[Any]
invalid_cases: Iterable[Any]
def cases() -> Iterable[Case]:
# Gt, Ge, Lt, Le
yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Gt(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(date(2000, 1, 1))],
[date(2000, 1, 2), date(2000, 1, 3)],
[date(2000, 1, 1), date(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(Decimal('1.123'))],
[Decimal('1.1231'), Decimal('123')],
[Decimal('1.123'), Decimal('0')],
)
yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1))
yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Ge(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(1998, 1, 1), datetime(1999, 12, 31)],
)
yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4))
yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Lt(datetime(2000, 1, 1))],
[datetime(1999, 12, 31), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000))
yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Le(datetime(2000, 1, 1))],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
# Interval
yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1))
yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1))
yield Case(
Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(2000, 1, 4)],
)
yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4))
yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1))
# lengths
yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10))
yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234'))
yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}])
yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4}))
yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4)))
# Timezone
yield Case(
Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)]
)
yield Case(
Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)]
)
yield Case(
Annotated[datetime, at.Timezone(timezone.utc)],
[datetime(2000, 1, 1, tzinfo=timezone.utc)],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
yield Case(
Annotated[datetime, at.Timezone('Europe/London')],
[datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
# Quantity
yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m'))
# predicate types
yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom'])
yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC'])
yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2'])
yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀'])
yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5])
yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf])
yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23])
yield Case(at.IsNan[float], [math.nan], [1.23, math.inf])
yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan])
yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23])
yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf])
# check stacked predicates
yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan])
# doc
yield Case(Annotated[int, at.doc("A number")], [1, 2], [])
# custom GroupedMetadata
class MyCustomGroupedMetadata(at.GroupedMetadata):
def __iter__(self) -> Iterator[at.Predicate]:
yield at.Predicate(lambda x: float(x).is_integer())
yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5])

1
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pip

20
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The MIT License (MIT)
Copyright (c) 2018 Alex Grönholm
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.

105
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Metadata-Version: 2.1
Name: anyio
Version: 4.6.2.post1
Summary: High level compatibility layer for multiple asynchronous event loop implementations
Author-email: Alex Grönholm <alex.gronholm@nextday.fi>
License: MIT
Project-URL: Documentation, https://anyio.readthedocs.io/en/latest/
Project-URL: Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html
Project-URL: Source code, https://github.com/agronholm/anyio
Project-URL: Issue tracker, https://github.com/agronholm/anyio/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Framework :: AnyIO
Classifier: Typing :: Typed
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: idna >=2.8
Requires-Dist: sniffio >=1.1
Requires-Dist: exceptiongroup >=1.0.2 ; python_version < "3.11"
Requires-Dist: typing-extensions >=4.1 ; python_version < "3.11"
Provides-Extra: doc
Requires-Dist: packaging ; extra == 'doc'
Requires-Dist: Sphinx ~=7.4 ; extra == 'doc'
Requires-Dist: sphinx-rtd-theme ; extra == 'doc'
Requires-Dist: sphinx-autodoc-typehints >=1.2.0 ; extra == 'doc'
Provides-Extra: test
Requires-Dist: anyio[trio] ; extra == 'test'
Requires-Dist: coverage[toml] >=7 ; extra == 'test'
Requires-Dist: exceptiongroup >=1.2.0 ; extra == 'test'
Requires-Dist: hypothesis >=4.0 ; extra == 'test'
Requires-Dist: psutil >=5.9 ; extra == 'test'
Requires-Dist: pytest >=7.0 ; extra == 'test'
Requires-Dist: pytest-mock >=3.6.1 ; extra == 'test'
Requires-Dist: trustme ; extra == 'test'
Requires-Dist: uvloop >=0.21.0b1 ; (platform_python_implementation == "CPython" and platform_system != "Windows") and extra == 'test'
Requires-Dist: truststore >=0.9.1 ; (python_version >= "3.10") and extra == 'test'
Provides-Extra: trio
Requires-Dist: trio >=0.26.1 ; extra == 'trio'
.. image:: https://github.com/agronholm/anyio/actions/workflows/test.yml/badge.svg
:target: https://github.com/agronholm/anyio/actions/workflows/test.yml
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/anyio/badge.svg?branch=master
:target: https://coveralls.io/github/agronholm/anyio?branch=master
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/anyio/badge/?version=latest
:target: https://anyio.readthedocs.io/en/latest/?badge=latest
:alt: Documentation
.. image:: https://badges.gitter.im/gitterHQ/gitter.svg
:target: https://gitter.im/python-trio/AnyIO
:alt: Gitter chat
AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio_ or
trio_. It implements trio-like `structured concurrency`_ (SC) on top of asyncio and works in harmony
with the native SC of trio itself.
Applications and libraries written against AnyIO's API will run unmodified on either asyncio_ or
trio_. AnyIO can also be adopted into a library or application incrementally – bit by bit, no full
refactoring necessary. It will blend in with the native libraries of your chosen backend.
Documentation
-------------
View full documentation at: https://anyio.readthedocs.io/
Features
--------
AnyIO offers the following functionality:
* Task groups (nurseries_ in trio terminology)
* High-level networking (TCP, UDP and UNIX sockets)
* `Happy eyeballs`_ algorithm for TCP connections (more robust than that of asyncio on Python
3.8)
* async/await style UDP sockets (unlike asyncio where you still have to use Transports and
Protocols)
* A versatile API for byte streams and object streams
* Inter-task synchronization and communication (locks, conditions, events, semaphores, object
streams)
* Worker threads
* Subprocesses
* Asynchronous file I/O (using worker threads)
* Signal handling
AnyIO also comes with its own pytest_ plugin which also supports asynchronous fixtures.
It even works with the popular Hypothesis_ library.
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _trio: https://github.com/python-trio/trio
.. _structured concurrency: https://en.wikipedia.org/wiki/Structured_concurrency
.. _nurseries: https://trio.readthedocs.io/en/stable/reference-core.html#nurseries-and-spawning
.. _Happy eyeballs: https://en.wikipedia.org/wiki/Happy_Eyeballs
.. _pytest: https://docs.pytest.org/en/latest/
.. _Hypothesis: https://hypothesis.works/

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[pytest11]
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anyio

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from __future__ import annotations
from ._core._eventloop import current_time as current_time
from ._core._eventloop import get_all_backends as get_all_backends
from ._core._eventloop import get_cancelled_exc_class as get_cancelled_exc_class
from ._core._eventloop import run as run
from ._core._eventloop import sleep as sleep
from ._core._eventloop import sleep_forever as sleep_forever
from ._core._eventloop import sleep_until as sleep_until
from ._core._exceptions import BrokenResourceError as BrokenResourceError
from ._core._exceptions import BrokenWorkerProcess as BrokenWorkerProcess
from ._core._exceptions import BusyResourceError as BusyResourceError
from ._core._exceptions import ClosedResourceError as ClosedResourceError
from ._core._exceptions import DelimiterNotFound as DelimiterNotFound
from ._core._exceptions import EndOfStream as EndOfStream
from ._core._exceptions import IncompleteRead as IncompleteRead
from ._core._exceptions import TypedAttributeLookupError as TypedAttributeLookupError
from ._core._exceptions import WouldBlock as WouldBlock
from ._core._fileio import AsyncFile as AsyncFile
from ._core._fileio import Path as Path
from ._core._fileio import open_file as open_file
from ._core._fileio import wrap_file as wrap_file
from ._core._resources import aclose_forcefully as aclose_forcefully
from ._core._signals import open_signal_receiver as open_signal_receiver
from ._core._sockets import connect_tcp as connect_tcp
from ._core._sockets import connect_unix as connect_unix
from ._core._sockets import create_connected_udp_socket as create_connected_udp_socket
from ._core._sockets import (
create_connected_unix_datagram_socket as create_connected_unix_datagram_socket,
)
from ._core._sockets import create_tcp_listener as create_tcp_listener
from ._core._sockets import create_udp_socket as create_udp_socket
from ._core._sockets import create_unix_datagram_socket as create_unix_datagram_socket
from ._core._sockets import create_unix_listener as create_unix_listener
from ._core._sockets import getaddrinfo as getaddrinfo
from ._core._sockets import getnameinfo as getnameinfo
from ._core._sockets import wait_socket_readable as wait_socket_readable
from ._core._sockets import wait_socket_writable as wait_socket_writable
from ._core._streams import create_memory_object_stream as create_memory_object_stream
from ._core._subprocesses import open_process as open_process
from ._core._subprocesses import run_process as run_process
from ._core._synchronization import CapacityLimiter as CapacityLimiter
from ._core._synchronization import (
CapacityLimiterStatistics as CapacityLimiterStatistics,
)
from ._core._synchronization import Condition as Condition
from ._core._synchronization import ConditionStatistics as ConditionStatistics
from ._core._synchronization import Event as Event
from ._core._synchronization import EventStatistics as EventStatistics
from ._core._synchronization import Lock as Lock
from ._core._synchronization import LockStatistics as LockStatistics
from ._core._synchronization import ResourceGuard as ResourceGuard
from ._core._synchronization import Semaphore as Semaphore
from ._core._synchronization import SemaphoreStatistics as SemaphoreStatistics
from ._core._tasks import TASK_STATUS_IGNORED as TASK_STATUS_IGNORED
from ._core._tasks import CancelScope as CancelScope
from ._core._tasks import create_task_group as create_task_group
from ._core._tasks import current_effective_deadline as current_effective_deadline
from ._core._tasks import fail_after as fail_after
from ._core._tasks import move_on_after as move_on_after
from ._core._testing import TaskInfo as TaskInfo
from ._core._testing import get_current_task as get_current_task
from ._core._testing import get_running_tasks as get_running_tasks
from ._core._testing import wait_all_tasks_blocked as wait_all_tasks_blocked
from ._core._typedattr import TypedAttributeProvider as TypedAttributeProvider
from ._core._typedattr import TypedAttributeSet as TypedAttributeSet
from ._core._typedattr import typed_attribute as typed_attribute
# Re-export imports so they look like they live directly in this package
for __value in list(locals().values()):
if getattr(__value, "__module__", "").startswith("anyio."):
__value.__module__ = __name__
del __value

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from __future__ import annotations
import math
import sys
import threading
from collections.abc import Awaitable, Callable, Generator
from contextlib import contextmanager
from importlib import import_module
from typing import TYPE_CHECKING, Any, TypeVar
import sniffio
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
if TYPE_CHECKING:
from ..abc import AsyncBackend
# This must be updated when new backends are introduced
BACKENDS = "asyncio", "trio"
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
threadlocals = threading.local()
loaded_backends: dict[str, type[AsyncBackend]] = {}
def run(
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
backend: str = "asyncio",
backend_options: dict[str, Any] | None = None,
) -> T_Retval:
"""
Run the given coroutine function in an asynchronous event loop.
The current thread must not be already running an event loop.
:param func: a coroutine function
:param args: positional arguments to ``func``
:param backend: name of the asynchronous event loop implementation – currently
either ``asyncio`` or ``trio``
:param backend_options: keyword arguments to call the backend ``run()``
implementation with (documented :ref:`here <backend options>`)
:return: the return value of the coroutine function
:raises RuntimeError: if an asynchronous event loop is already running in this
thread
:raises LookupError: if the named backend is not found
"""
try:
asynclib_name = sniffio.current_async_library()
except sniffio.AsyncLibraryNotFoundError:
pass
else:
raise RuntimeError(f"Already running {asynclib_name} in this thread")
try:
async_backend = get_async_backend(backend)
except ImportError as exc:
raise LookupError(f"No such backend: {backend}") from exc
token = None
if sniffio.current_async_library_cvar.get(None) is None:
# Since we're in control of the event loop, we can cache the name of the async
# library
token = sniffio.current_async_library_cvar.set(backend)
try:
backend_options = backend_options or {}
return async_backend.run(func, args, {}, backend_options)
finally:
if token:
sniffio.current_async_library_cvar.reset(token)
async def sleep(delay: float) -> None:
"""
Pause the current task for the specified duration.
:param delay: the duration, in seconds
"""
return await get_async_backend().sleep(delay)
async def sleep_forever() -> None:
"""
Pause the current task until it's cancelled.
This is a shortcut for ``sleep(math.inf)``.
.. versionadded:: 3.1
"""
await sleep(math.inf)
async def sleep_until(deadline: float) -> None:
"""
Pause the current task until the given time.
:param deadline: the absolute time to wake up at (according to the internal
monotonic clock of the event loop)
.. versionadded:: 3.1
"""
now = current_time()
await sleep(max(deadline - now, 0))
def current_time() -> float:
"""
Return the current value of the event loop's internal clock.
:return: the clock value (seconds)
"""
return get_async_backend().current_time()
def get_all_backends() -> tuple[str, ...]:
"""Return a tuple of the names of all built-in backends."""
return BACKENDS
def get_cancelled_exc_class() -> type[BaseException]:
"""Return the current async library's cancellation exception class."""
return get_async_backend().cancelled_exception_class()
#
# Private API
#
@contextmanager
def claim_worker_thread(
backend_class: type[AsyncBackend], token: object
) -> Generator[Any, None, None]:
threadlocals.current_async_backend = backend_class
threadlocals.current_token = token
try:
yield
finally:
del threadlocals.current_async_backend
del threadlocals.current_token
def get_async_backend(asynclib_name: str | None = None) -> type[AsyncBackend]:
if asynclib_name is None:
asynclib_name = sniffio.current_async_library()
# We use our own dict instead of sys.modules to get the already imported back-end
# class because the appropriate modules in sys.modules could potentially be only
# partially initialized
try:
return loaded_backends[asynclib_name]
except KeyError:
module = import_module(f"anyio._backends._{asynclib_name}")
loaded_backends[asynclib_name] = module.backend_class
return module.backend_class

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from __future__ import annotations
import sys
from collections.abc import Generator
if sys.version_info < (3, 11):
from exceptiongroup import BaseExceptionGroup
class BrokenResourceError(Exception):
"""
Raised when trying to use a resource that has been rendered unusable due to external
causes (e.g. a send stream whose peer has disconnected).
"""
class BrokenWorkerProcess(Exception):
"""
Raised by :func:`run_sync_in_process` if the worker process terminates abruptly or
otherwise misbehaves.
"""
class BusyResourceError(Exception):
"""
Raised when two tasks are trying to read from or write to the same resource
concurrently.
"""
def __init__(self, action: str):
super().__init__(f"Another task is already {action} this resource")
class ClosedResourceError(Exception):
"""Raised when trying to use a resource that has been closed."""
class DelimiterNotFound(Exception):
"""
Raised during
:meth:`~anyio.streams.buffered.BufferedByteReceiveStream.receive_until` if the
maximum number of bytes has been read without the delimiter being found.
"""
def __init__(self, max_bytes: int) -> None:
super().__init__(
f"The delimiter was not found among the first {max_bytes} bytes"
)
class EndOfStream(Exception):
"""
Raised when trying to read from a stream that has been closed from the other end.
"""
class IncompleteRead(Exception):
"""
Raised during
:meth:`~anyio.streams.buffered.BufferedByteReceiveStream.receive_exactly` or
:meth:`~anyio.streams.buffered.BufferedByteReceiveStream.receive_until` if the
connection is closed before the requested amount of bytes has been read.
"""
def __init__(self) -> None:
super().__init__(
"The stream was closed before the read operation could be completed"
)
class TypedAttributeLookupError(LookupError):
"""
Raised by :meth:`~anyio.TypedAttributeProvider.extra` when the given typed attribute
is not found and no default value has been given.
"""
class WouldBlock(Exception):
"""Raised by ``X_nowait`` functions if ``X()`` would block."""
def iterate_exceptions(
exception: BaseException,
) -> Generator[BaseException, None, None]:
if isinstance(exception, BaseExceptionGroup):
for exc in exception.exceptions:
yield from iterate_exceptions(exc)
else:
yield exception

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from __future__ import annotations
import os
import pathlib
import sys
from collections.abc import AsyncIterator, Callable, Iterable, Iterator, Sequence
from dataclasses import dataclass
from functools import partial
from os import PathLike
from typing import (
IO,
TYPE_CHECKING,
Any,
AnyStr,
Final,
Generic,
overload,
)
from .. import to_thread
from ..abc import AsyncResource
if TYPE_CHECKING:
from _typeshed import OpenBinaryMode, OpenTextMode, ReadableBuffer, WriteableBuffer
else:
ReadableBuffer = OpenBinaryMode = OpenTextMode = WriteableBuffer = object
class AsyncFile(AsyncResource, Generic[AnyStr]):
"""
An asynchronous file object.
This class wraps a standard file object and provides async friendly versions of the
following blocking methods (where available on the original file object):
* read
* read1
* readline
* readlines
* readinto
* readinto1
* write
* writelines
* truncate
* seek
* tell
* flush
All other methods are directly passed through.
This class supports the asynchronous context manager protocol which closes the
underlying file at the end of the context block.
This class also supports asynchronous iteration::
async with await open_file(...) as f:
async for line in f:
print(line)
"""
def __init__(self, fp: IO[AnyStr]) -> None:
self._fp: Any = fp
def __getattr__(self, name: str) -> object:
return getattr(self._fp, name)
@property
def wrapped(self) -> IO[AnyStr]:
"""The wrapped file object."""
return self._fp
async def __aiter__(self) -> AsyncIterator[AnyStr]:
while True:
line = await self.readline()
if line:
yield line
else:
break
async def aclose(self) -> None:
return await to_thread.run_sync(self._fp.close)
async def read(self, size: int = -1) -> AnyStr:
return await to_thread.run_sync(self._fp.read, size)
async def read1(self: AsyncFile[bytes], size: int = -1) -> bytes:
return await to_thread.run_sync(self._fp.read1, size)
async def readline(self) -> AnyStr:
return await to_thread.run_sync(self._fp.readline)
async def readlines(self) -> list[AnyStr]:
return await to_thread.run_sync(self._fp.readlines)
async def readinto(self: AsyncFile[bytes], b: WriteableBuffer) -> bytes:
return await to_thread.run_sync(self._fp.readinto, b)
async def readinto1(self: AsyncFile[bytes], b: WriteableBuffer) -> bytes:
return await to_thread.run_sync(self._fp.readinto1, b)
@overload
async def write(self: AsyncFile[bytes], b: ReadableBuffer) -> int: ...
@overload
async def write(self: AsyncFile[str], b: str) -> int: ...
async def write(self, b: ReadableBuffer | str) -> int:
return await to_thread.run_sync(self._fp.write, b)
@overload
async def writelines(
self: AsyncFile[bytes], lines: Iterable[ReadableBuffer]
) -> None: ...
@overload
async def writelines(self: AsyncFile[str], lines: Iterable[str]) -> None: ...
async def writelines(self, lines: Iterable[ReadableBuffer] | Iterable[str]) -> None:
return await to_thread.run_sync(self._fp.writelines, lines)
async def truncate(self, size: int | None = None) -> int:
return await to_thread.run_sync(self._fp.truncate, size)
async def seek(self, offset: int, whence: int | None = os.SEEK_SET) -> int:
return await to_thread.run_sync(self._fp.seek, offset, whence)
async def tell(self) -> int:
return await to_thread.run_sync(self._fp.tell)
async def flush(self) -> None:
return await to_thread.run_sync(self._fp.flush)
@overload
async def open_file(
file: str | PathLike[str] | int,
mode: OpenBinaryMode,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
closefd: bool = ...,
opener: Callable[[str, int], int] | None = ...,
) -> AsyncFile[bytes]: ...
@overload
async def open_file(
file: str | PathLike[str] | int,
mode: OpenTextMode = ...,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
closefd: bool = ...,
opener: Callable[[str, int], int] | None = ...,
) -> AsyncFile[str]: ...
async def open_file(
file: str | PathLike[str] | int,
mode: str = "r",
buffering: int = -1,
encoding: str | None = None,
errors: str | None = None,
newline: str | None = None,
closefd: bool = True,
opener: Callable[[str, int], int] | None = None,
) -> AsyncFile[Any]:
"""
Open a file asynchronously.
The arguments are exactly the same as for the builtin :func:`open`.
:return: an asynchronous file object
"""
fp = await to_thread.run_sync(
open, file, mode, buffering, encoding, errors, newline, closefd, opener
)
return AsyncFile(fp)
def wrap_file(file: IO[AnyStr]) -> AsyncFile[AnyStr]:
"""
Wrap an existing file as an asynchronous file.
:param file: an existing file-like object
:return: an asynchronous file object
"""
return AsyncFile(file)
@dataclass(eq=False)
class _PathIterator(AsyncIterator["Path"]):
iterator: Iterator[PathLike[str]]
async def __anext__(self) -> Path:
nextval = await to_thread.run_sync(
next, self.iterator, None, abandon_on_cancel=True
)
if nextval is None:
raise StopAsyncIteration from None
return Path(nextval)
class Path:
"""
An asynchronous version of :class:`pathlib.Path`.
This class cannot be substituted for :class:`pathlib.Path` or
:class:`pathlib.PurePath`, but it is compatible with the :class:`os.PathLike`
interface.
It implements the Python 3.10 version of :class:`pathlib.Path` interface, except for
the deprecated :meth:`~pathlib.Path.link_to` method.
Some methods may be unavailable or have limited functionality, based on the Python
version:
* :meth:`~pathlib.Path.from_uri` (available on Python 3.13 or later)
* :meth:`~pathlib.Path.full_match` (available on Python 3.13 or later)
* :meth:`~pathlib.Path.is_junction` (available on Python 3.12 or later)
* :meth:`~pathlib.Path.match` (the ``case_sensitive`` paramater is only available on
Python 3.13 or later)
* :meth:`~pathlib.Path.relative_to` (the ``walk_up`` parameter is only available on
Python 3.12 or later)
* :meth:`~pathlib.Path.walk` (available on Python 3.12 or later)
Any methods that do disk I/O need to be awaited on. These methods are:
* :meth:`~pathlib.Path.absolute`
* :meth:`~pathlib.Path.chmod`
* :meth:`~pathlib.Path.cwd`
* :meth:`~pathlib.Path.exists`
* :meth:`~pathlib.Path.expanduser`
* :meth:`~pathlib.Path.group`
* :meth:`~pathlib.Path.hardlink_to`
* :meth:`~pathlib.Path.home`
* :meth:`~pathlib.Path.is_block_device`
* :meth:`~pathlib.Path.is_char_device`
* :meth:`~pathlib.Path.is_dir`
* :meth:`~pathlib.Path.is_fifo`
* :meth:`~pathlib.Path.is_file`
* :meth:`~pathlib.Path.is_junction`
* :meth:`~pathlib.Path.is_mount`
* :meth:`~pathlib.Path.is_socket`
* :meth:`~pathlib.Path.is_symlink`
* :meth:`~pathlib.Path.lchmod`
* :meth:`~pathlib.Path.lstat`
* :meth:`~pathlib.Path.mkdir`
* :meth:`~pathlib.Path.open`
* :meth:`~pathlib.Path.owner`
* :meth:`~pathlib.Path.read_bytes`
* :meth:`~pathlib.Path.read_text`
* :meth:`~pathlib.Path.readlink`
* :meth:`~pathlib.Path.rename`
* :meth:`~pathlib.Path.replace`
* :meth:`~pathlib.Path.resolve`
* :meth:`~pathlib.Path.rmdir`
* :meth:`~pathlib.Path.samefile`
* :meth:`~pathlib.Path.stat`
* :meth:`~pathlib.Path.symlink_to`
* :meth:`~pathlib.Path.touch`
* :meth:`~pathlib.Path.unlink`
* :meth:`~pathlib.Path.walk`
* :meth:`~pathlib.Path.write_bytes`
* :meth:`~pathlib.Path.write_text`
Additionally, the following methods return an async iterator yielding
:class:`~.Path` objects:
* :meth:`~pathlib.Path.glob`
* :meth:`~pathlib.Path.iterdir`
* :meth:`~pathlib.Path.rglob`
"""
__slots__ = "_path", "__weakref__"
__weakref__: Any
def __init__(self, *args: str | PathLike[str]) -> None:
self._path: Final[pathlib.Path] = pathlib.Path(*args)
def __fspath__(self) -> str:
return self._path.__fspath__()
def __str__(self) -> str:
return self._path.__str__()
def __repr__(self) -> str:
return f"{self.__class__.__name__}({self.as_posix()!r})"
def __bytes__(self) -> bytes:
return self._path.__bytes__()
def __hash__(self) -> int:
return self._path.__hash__()
def __eq__(self, other: object) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__eq__(target)
def __lt__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__lt__(target)
def __le__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__le__(target)
def __gt__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__gt__(target)
def __ge__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__ge__(target)
def __truediv__(self, other: str | PathLike[str]) -> Path:
return Path(self._path / other)
def __rtruediv__(self, other: str | PathLike[str]) -> Path:
return Path(other) / self
@property
def parts(self) -> tuple[str, ...]:
return self._path.parts
@property
def drive(self) -> str:
return self._path.drive
@property
def root(self) -> str:
return self._path.root
@property
def anchor(self) -> str:
return self._path.anchor
@property
def parents(self) -> Sequence[Path]:
return tuple(Path(p) for p in self._path.parents)
@property
def parent(self) -> Path:
return Path(self._path.parent)
@property
def name(self) -> str:
return self._path.name
@property
def suffix(self) -> str:
return self._path.suffix
@property
def suffixes(self) -> list[str]:
return self._path.suffixes
@property
def stem(self) -> str:
return self._path.stem
async def absolute(self) -> Path:
path = await to_thread.run_sync(self._path.absolute)
return Path(path)
def as_posix(self) -> str:
return self._path.as_posix()
def as_uri(self) -> str:
return self._path.as_uri()
if sys.version_info >= (3, 13):
parser = pathlib.Path.parser
@classmethod
def from_uri(cls, uri: str) -> Path:
return Path(pathlib.Path.from_uri(uri))
def full_match(
self, path_pattern: str, *, case_sensitive: bool | None = None
) -> bool:
return self._path.full_match(path_pattern, case_sensitive=case_sensitive)
def match(
self, path_pattern: str, *, case_sensitive: bool | None = None
) -> bool:
return self._path.match(path_pattern, case_sensitive=case_sensitive)
else:
def match(self, path_pattern: str) -> bool:
return self._path.match(path_pattern)
def is_relative_to(self, other: str | PathLike[str]) -> bool:
try:
self.relative_to(other)
return True
except ValueError:
return False
async def chmod(self, mode: int, *, follow_symlinks: bool = True) -> None:
func = partial(os.chmod, follow_symlinks=follow_symlinks)
return await to_thread.run_sync(func, self._path, mode)
@classmethod
async def cwd(cls) -> Path:
path = await to_thread.run_sync(pathlib.Path.cwd)
return cls(path)
async def exists(self) -> bool:
return await to_thread.run_sync(self._path.exists, abandon_on_cancel=True)
async def expanduser(self) -> Path:
return Path(
await to_thread.run_sync(self._path.expanduser, abandon_on_cancel=True)
)
def glob(self, pattern: str) -> AsyncIterator[Path]:
gen = self._path.glob(pattern)
return _PathIterator(gen)
async def group(self) -> str:
return await to_thread.run_sync(self._path.group, abandon_on_cancel=True)
async def hardlink_to(
self, target: str | bytes | PathLike[str] | PathLike[bytes]
) -> None:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(os.link, target, self)
@classmethod
async def home(cls) -> Path:
home_path = await to_thread.run_sync(pathlib.Path.home)
return cls(home_path)
def is_absolute(self) -> bool:
return self._path.is_absolute()
async def is_block_device(self) -> bool:
return await to_thread.run_sync(
self._path.is_block_device, abandon_on_cancel=True
)
async def is_char_device(self) -> bool:
return await to_thread.run_sync(
self._path.is_char_device, abandon_on_cancel=True
)
async def is_dir(self) -> bool:
return await to_thread.run_sync(self._path.is_dir, abandon_on_cancel=True)
async def is_fifo(self) -> bool:
return await to_thread.run_sync(self._path.is_fifo, abandon_on_cancel=True)
async def is_file(self) -> bool:
return await to_thread.run_sync(self._path.is_file, abandon_on_cancel=True)
if sys.version_info >= (3, 12):
async def is_junction(self) -> bool:
return await to_thread.run_sync(self._path.is_junction)
async def is_mount(self) -> bool:
return await to_thread.run_sync(
os.path.ismount, self._path, abandon_on_cancel=True
)
def is_reserved(self) -> bool:
return self._path.is_reserved()
async def is_socket(self) -> bool:
return await to_thread.run_sync(self._path.is_socket, abandon_on_cancel=True)
async def is_symlink(self) -> bool:
return await to_thread.run_sync(self._path.is_symlink, abandon_on_cancel=True)
def iterdir(self) -> AsyncIterator[Path]:
gen = self._path.iterdir()
return _PathIterator(gen)
def joinpath(self, *args: str | PathLike[str]) -> Path:
return Path(self._path.joinpath(*args))
async def lchmod(self, mode: int) -> None:
await to_thread.run_sync(self._path.lchmod, mode)
async def lstat(self) -> os.stat_result:
return await to_thread.run_sync(self._path.lstat, abandon_on_cancel=True)
async def mkdir(
self, mode: int = 0o777, parents: bool = False, exist_ok: bool = False
) -> None:
await to_thread.run_sync(self._path.mkdir, mode, parents, exist_ok)
@overload
async def open(
self,
mode: OpenBinaryMode,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
) -> AsyncFile[bytes]: ...
@overload
async def open(
self,
mode: OpenTextMode = ...,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
) -> AsyncFile[str]: ...
async def open(
self,
mode: str = "r",
buffering: int = -1,
encoding: str | None = None,
errors: str | None = None,
newline: str | None = None,
) -> AsyncFile[Any]:
fp = await to_thread.run_sync(
self._path.open, mode, buffering, encoding, errors, newline
)
return AsyncFile(fp)
async def owner(self) -> str:
return await to_thread.run_sync(self._path.owner, abandon_on_cancel=True)
async def read_bytes(self) -> bytes:
return await to_thread.run_sync(self._path.read_bytes)
async def read_text(
self, encoding: str | None = None, errors: str | None = None
) -> str:
return await to_thread.run_sync(self._path.read_text, encoding, errors)
if sys.version_info >= (3, 12):
def relative_to(
self, *other: str | PathLike[str], walk_up: bool = False
) -> Path:
return Path(self._path.relative_to(*other, walk_up=walk_up))
else:
def relative_to(self, *other: str | PathLike[str]) -> Path:
return Path(self._path.relative_to(*other))
async def readlink(self) -> Path:
target = await to_thread.run_sync(os.readlink, self._path)
return Path(target)
async def rename(self, target: str | pathlib.PurePath | Path) -> Path:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(self._path.rename, target)
return Path(target)
async def replace(self, target: str | pathlib.PurePath | Path) -> Path:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(self._path.replace, target)
return Path(target)
async def resolve(self, strict: bool = False) -> Path:
func = partial(self._path.resolve, strict=strict)
return Path(await to_thread.run_sync(func, abandon_on_cancel=True))
def rglob(self, pattern: str) -> AsyncIterator[Path]:
gen = self._path.rglob(pattern)
return _PathIterator(gen)
async def rmdir(self) -> None:
await to_thread.run_sync(self._path.rmdir)
async def samefile(self, other_path: str | PathLike[str]) -> bool:
if isinstance(other_path, Path):
other_path = other_path._path
return await to_thread.run_sync(
self._path.samefile, other_path, abandon_on_cancel=True
)
async def stat(self, *, follow_symlinks: bool = True) -> os.stat_result:
func = partial(os.stat, follow_symlinks=follow_symlinks)
return await to_thread.run_sync(func, self._path, abandon_on_cancel=True)
async def symlink_to(
self,
target: str | bytes | PathLike[str] | PathLike[bytes],
target_is_directory: bool = False,
) -> None:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(self._path.symlink_to, target, target_is_directory)
async def touch(self, mode: int = 0o666, exist_ok: bool = True) -> None:
await to_thread.run_sync(self._path.touch, mode, exist_ok)
async def unlink(self, missing_ok: bool = False) -> None:
try:
await to_thread.run_sync(self._path.unlink)
except FileNotFoundError:
if not missing_ok:
raise
if sys.version_info >= (3, 12):
async def walk(
self,
top_down: bool = True,
on_error: Callable[[OSError], object] | None = None,
follow_symlinks: bool = False,
) -> AsyncIterator[tuple[Path, list[str], list[str]]]:
def get_next_value() -> tuple[pathlib.Path, list[str], list[str]] | None:
try:
return next(gen)
except StopIteration:
return None
gen = self._path.walk(top_down, on_error, follow_symlinks)
while True:
value = await to_thread.run_sync(get_next_value)
if value is None:
return
root, dirs, paths = value
yield Path(root), dirs, paths
def with_name(self, name: str) -> Path:
return Path(self._path.with_name(name))
def with_stem(self, stem: str) -> Path:
return Path(self._path.with_name(stem + self._path.suffix))
def with_suffix(self, suffix: str) -> Path:
return Path(self._path.with_suffix(suffix))
def with_segments(self, *pathsegments: str | PathLike[str]) -> Path:
return Path(*pathsegments)
async def write_bytes(self, data: bytes) -> int:
return await to_thread.run_sync(self._path.write_bytes, data)
async def write_text(
self,
data: str,
encoding: str | None = None,
errors: str | None = None,
newline: str | None = None,
) -> int:
# Path.write_text() does not support the "newline" parameter before Python 3.10
def sync_write_text() -> int:
with self._path.open(
"w", encoding=encoding, errors=errors, newline=newline
) as fp:
return fp.write(data)
return await to_thread.run_sync(sync_write_text)
PathLike.register(Path)

18
venv/lib/python3.11/site-packages/anyio/_core/_resources.py Normal file
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@ -0,0 +1,18 @@
from __future__ import annotations
from ..abc import AsyncResource
from ._tasks import CancelScope
async def aclose_forcefully(resource: AsyncResource) -> None:
"""
Close an asynchronous resource in a cancelled scope.
Doing this closes the resource without waiting on anything.
:param resource: the resource to close
"""
with CancelScope() as scope:
scope.cancel()
await resource.aclose()

27
venv/lib/python3.11/site-packages/anyio/_core/_signals.py Normal file
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from __future__ import annotations
from collections.abc import AsyncIterator
from contextlib import AbstractContextManager
from signal import Signals
from ._eventloop import get_async_backend
def open_signal_receiver(
*signals: Signals,
) -> AbstractContextManager[AsyncIterator[Signals]]:
"""
Start receiving operating system signals.
:param signals: signals to receive (e.g. ``signal.SIGINT``)
:return: an asynchronous context manager for an asynchronous iterator which yields
signal numbers
.. warning:: Windows does not support signals natively so it is best to avoid
relying on this in cross-platform applications.
.. warning:: On asyncio, this permanently replaces any previous signal handler for
the given signals, as set via :meth:`~asyncio.loop.add_signal_handler`.
"""
return get_async_backend().open_signal_receiver(*signals)

718
venv/lib/python3.11/site-packages/anyio/_core/_sockets.py Normal file
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from __future__ import annotations
import errno
import os
import socket
import ssl
import stat
import sys
from collections.abc import Awaitable
from ipaddress import IPv6Address, ip_address
from os import PathLike, chmod
from socket import AddressFamily, SocketKind
from typing import Any, Literal, cast, overload
from .. import to_thread
from ..abc import (
ConnectedUDPSocket,
ConnectedUNIXDatagramSocket,
IPAddressType,
IPSockAddrType,
SocketListener,
SocketStream,
UDPSocket,
UNIXDatagramSocket,
UNIXSocketStream,
)
from ..streams.stapled import MultiListener
from ..streams.tls import TLSStream
from ._eventloop import get_async_backend
from ._resources import aclose_forcefully
from ._synchronization import Event
from ._tasks import create_task_group, move_on_after
if sys.version_info < (3, 11):
from exceptiongroup import ExceptionGroup
IPPROTO_IPV6 = getattr(socket, "IPPROTO_IPV6", 41) # https://bugs.python.org/issue29515
AnyIPAddressFamily = Literal[
AddressFamily.AF_UNSPEC, AddressFamily.AF_INET, AddressFamily.AF_INET6
]
IPAddressFamily = Literal[AddressFamily.AF_INET, AddressFamily.AF_INET6]
# tls_hostname given
@overload
async def connect_tcp(
remote_host: IPAddressType,
remote_port: int,
*,
local_host: IPAddressType | None = ...,
ssl_context: ssl.SSLContext | None = ...,
tls_standard_compatible: bool = ...,
tls_hostname: str,
happy_eyeballs_delay: float = ...,
) -> TLSStream: ...
# ssl_context given
@overload
async def connect_tcp(
remote_host: IPAddressType,
remote_port: int,
*,
local_host: IPAddressType | None = ...,
ssl_context: ssl.SSLContext,
tls_standard_compatible: bool = ...,
tls_hostname: str | None = ...,
happy_eyeballs_delay: float = ...,
) -> TLSStream: ...
# tls=True
@overload
async def connect_tcp(
remote_host: IPAddressType,
remote_port: int,
*,
local_host: IPAddressType | None = ...,
tls: Literal[True],
ssl_context: ssl.SSLContext | None = ...,
tls_standard_compatible: bool = ...,
tls_hostname: str | None = ...,
happy_eyeballs_delay: float = ...,
) -> TLSStream: ...
# tls=False
@overload
async def connect_tcp(
remote_host: IPAddressType,
remote_port: int,
*,
local_host: IPAddressType | None = ...,
tls: Literal[False],
ssl_context: ssl.SSLContext | None = ...,
tls_standard_compatible: bool = ...,
tls_hostname: str | None = ...,
happy_eyeballs_delay: float = ...,
) -> SocketStream: ...
# No TLS arguments
@overload
async def connect_tcp(
remote_host: IPAddressType,
remote_port: int,
*,
local_host: IPAddressType | None = ...,
happy_eyeballs_delay: float = ...,
) -> SocketStream: ...
async def connect_tcp(
remote_host: IPAddressType,
remote_port: int,
*,
local_host: IPAddressType | None = None,
tls: bool = False,
ssl_context: ssl.SSLContext | None = None,
tls_standard_compatible: bool = True,
tls_hostname: str | None = None,
happy_eyeballs_delay: float = 0.25,
) -> SocketStream | TLSStream:
"""
Connect to a host using the TCP protocol.
This function implements the stateless version of the Happy Eyeballs algorithm (RFC
6555). If ``remote_host`` is a host name that resolves to multiple IP addresses,
each one is tried until one connection attempt succeeds. If the first attempt does
not connected within 250 milliseconds, a second attempt is started using the next
address in the list, and so on. On IPv6 enabled systems, an IPv6 address (if
available) is tried first.
When the connection has been established, a TLS handshake will be done if either
``ssl_context`` or ``tls_hostname`` is not ``None``, or if ``tls`` is ``True``.
:param remote_host: the IP address or host name to connect to
:param remote_port: port on the target host to connect to
:param local_host: the interface address or name to bind the socket to before
connecting
:param tls: ``True`` to do a TLS handshake with the connected stream and return a
:class:`~anyio.streams.tls.TLSStream` instead
:param ssl_context: the SSL context object to use (if omitted, a default context is
created)
:param tls_standard_compatible: If ``True``, performs the TLS shutdown handshake
before closing the stream and requires that the server does this as well.
Otherwise, :exc:`~ssl.SSLEOFError` may be raised during reads from the stream.
Some protocols, such as HTTP, require this option to be ``False``.
See :meth:`~ssl.SSLContext.wrap_socket` for details.
:param tls_hostname: host name to check the server certificate against (defaults to
the value of ``remote_host``)
:param happy_eyeballs_delay: delay (in seconds) before starting the next connection
attempt
:return: a socket stream object if no TLS handshake was done, otherwise a TLS stream
:raises OSError: if the connection attempt fails
"""
# Placed here due to https://github.com/python/mypy/issues/7057
connected_stream: SocketStream | None = None
async def try_connect(remote_host: str, event: Event) -> None:
nonlocal connected_stream
try:
stream = await asynclib.connect_tcp(remote_host, remote_port, local_address)
except OSError as exc:
oserrors.append(exc)
return
else:
if connected_stream is None:
connected_stream = stream
tg.cancel_scope.cancel()
else:
await stream.aclose()
finally:
event.set()
asynclib = get_async_backend()
local_address: IPSockAddrType | None = None
family = socket.AF_UNSPEC
if local_host:
gai_res = await getaddrinfo(str(local_host), None)
family, *_, local_address = gai_res[0]
target_host = str(remote_host)
try:
addr_obj = ip_address(remote_host)
except ValueError:
# getaddrinfo() will raise an exception if name resolution fails
gai_res = await getaddrinfo(
target_host, remote_port, family=family, type=socket.SOCK_STREAM
)
# Organize the list so that the first address is an IPv6 address (if available)
# and the second one is an IPv4 addresses. The rest can be in whatever order.
v6_found = v4_found = False
target_addrs: list[tuple[socket.AddressFamily, str]] = []
for af, *rest, sa in gai_res:
if af == socket.AF_INET6 and not v6_found:
v6_found = True
target_addrs.insert(0, (af, sa[0]))
elif af == socket.AF_INET and not v4_found and v6_found:
v4_found = True
target_addrs.insert(1, (af, sa[0]))
else:
target_addrs.append((af, sa[0]))
else:
if isinstance(addr_obj, IPv6Address):
target_addrs = [(socket.AF_INET6, addr_obj.compressed)]
else:
target_addrs = [(socket.AF_INET, addr_obj.compressed)]
oserrors: list[OSError] = []
async with create_task_group() as tg:
for i, (af, addr) in enumerate(target_addrs):
event = Event()
tg.start_soon(try_connect, addr, event)
with move_on_after(happy_eyeballs_delay):
await event.wait()
if connected_stream is None:
cause = (
oserrors[0]
if len(oserrors) == 1
else ExceptionGroup("multiple connection attempts failed", oserrors)
)
raise OSError("All connection attempts failed") from cause
if tls or tls_hostname or ssl_context:
try:
return await TLSStream.wrap(
connected_stream,
server_side=False,
hostname=tls_hostname or str(remote_host),
ssl_context=ssl_context,
standard_compatible=tls_standard_compatible,
)
except BaseException:
await aclose_forcefully(connected_stream)
raise
return connected_stream
async def connect_unix(path: str | bytes | PathLike[Any]) -> UNIXSocketStream:
"""
Connect to the given UNIX socket.
Not available on Windows.
:param path: path to the socket
:return: a socket stream object
"""
path = os.fspath(path)
return await get_async_backend().connect_unix(path)
async def create_tcp_listener(
*,
local_host: IPAddressType | None = None,
local_port: int = 0,
family: AnyIPAddressFamily = socket.AddressFamily.AF_UNSPEC,
backlog: int = 65536,
reuse_port: bool = False,
) -> MultiListener[SocketStream]:
"""
Create a TCP socket listener.
:param local_port: port number to listen on
:param local_host: IP address of the interface to listen on. If omitted, listen on
all IPv4 and IPv6 interfaces. To listen on all interfaces on a specific address
family, use ``0.0.0.0`` for IPv4 or ``::`` for IPv6.
:param family: address family (used if ``local_host`` was omitted)
:param backlog: maximum number of queued incoming connections (up to a maximum of
2**16, or 65536)
:param reuse_port: ``True`` to allow multiple sockets to bind to the same
address/port (not supported on Windows)
:return: a list of listener objects
"""
asynclib = get_async_backend()
backlog = min(backlog, 65536)
local_host = str(local_host) if local_host is not None else None
gai_res = await getaddrinfo(
local_host,
local_port,
family=family,
type=socket.SocketKind.SOCK_STREAM if sys.platform == "win32" else 0,
flags=socket.AI_PASSIVE | socket.AI_ADDRCONFIG,
)
listeners: list[SocketListener] = []
try:
# The set() is here to work around a glibc bug:
# https://sourceware.org/bugzilla/show_bug.cgi?id=14969
sockaddr: tuple[str, int] | tuple[str, int, int, int]
for fam, kind, *_, sockaddr in sorted(set(gai_res)):
# Workaround for an uvloop bug where we don't get the correct scope ID for
# IPv6 link-local addresses when passing type=socket.SOCK_STREAM to
# getaddrinfo(): https://github.com/MagicStack/uvloop/issues/539
if sys.platform != "win32" and kind is not SocketKind.SOCK_STREAM:
continue
raw_socket = socket.socket(fam)
raw_socket.setblocking(False)
# For Windows, enable exclusive address use. For others, enable address
# reuse.
if sys.platform == "win32":
raw_socket.setsockopt(socket.SOL_SOCKET, socket.SO_EXCLUSIVEADDRUSE, 1)
else:
raw_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
if reuse_port:
raw_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEPORT, 1)
# If only IPv6 was requested, disable dual stack operation
if fam == socket.AF_INET6:
raw_socket.setsockopt(IPPROTO_IPV6, socket.IPV6_V6ONLY, 1)
# Workaround for #554
if "%" in sockaddr[0]:
addr, scope_id = sockaddr[0].split("%", 1)
sockaddr = (addr, sockaddr[1], 0, int(scope_id))
raw_socket.bind(sockaddr)
raw_socket.listen(backlog)
listener = asynclib.create_tcp_listener(raw_socket)
listeners.append(listener)
except BaseException:
for listener in listeners:
await listener.aclose()
raise
return MultiListener(listeners)
async def create_unix_listener(
path: str | bytes | PathLike[Any],
*,
mode: int | None = None,
backlog: int = 65536,
) -> SocketListener:
"""
Create a UNIX socket listener.
Not available on Windows.
:param path: path of the socket
:param mode: permissions to set on the socket
:param backlog: maximum number of queued incoming connections (up to a maximum of
2**16, or 65536)
:return: a listener object
.. versionchanged:: 3.0
If a socket already exists on the file system in the given path, it will be
removed first.
"""
backlog = min(backlog, 65536)
raw_socket = await setup_unix_local_socket(path, mode, socket.SOCK_STREAM)
try:
raw_socket.listen(backlog)
return get_async_backend().create_unix_listener(raw_socket)
except BaseException:
raw_socket.close()
raise
async def create_udp_socket(
family: AnyIPAddressFamily = AddressFamily.AF_UNSPEC,
*,
local_host: IPAddressType | None = None,
local_port: int = 0,
reuse_port: bool = False,
) -> UDPSocket:
"""
Create a UDP socket.
If ``port`` has been given, the socket will be bound to this port on the local
machine, making this socket suitable for providing UDP based services.
:param family: address family (``AF_INET`` or ``AF_INET6``) – automatically
determined from ``local_host`` if omitted
:param local_host: IP address or host name of the local interface to bind to
:param local_port: local port to bind to
:param reuse_port: ``True`` to allow multiple sockets to bind to the same
address/port (not supported on Windows)
:return: a UDP socket
"""
if family is AddressFamily.AF_UNSPEC and not local_host:
raise ValueError('Either "family" or "local_host" must be given')
if local_host:
gai_res = await getaddrinfo(
str(local_host),
local_port,
family=family,
type=socket.SOCK_DGRAM,
flags=socket.AI_PASSIVE | socket.AI_ADDRCONFIG,
)
family = cast(AnyIPAddressFamily, gai_res[0][0])
local_address = gai_res[0][-1]
elif family is AddressFamily.AF_INET6:
local_address = ("::", 0)
else:
local_address = ("0.0.0.0", 0)
sock = await get_async_backend().create_udp_socket(
family, local_address, None, reuse_port
)
return cast(UDPSocket, sock)
async def create_connected_udp_socket(
remote_host: IPAddressType,
remote_port: int,
*,
family: AnyIPAddressFamily = AddressFamily.AF_UNSPEC,
local_host: IPAddressType | None = None,
local_port: int = 0,
reuse_port: bool = False,
) -> ConnectedUDPSocket:
"""
Create a connected UDP socket.
Connected UDP sockets can only communicate with the specified remote host/port, an
any packets sent from other sources are dropped.
:param remote_host: remote host to set as the default target
:param remote_port: port on the remote host to set as the default target
:param family: address family (``AF_INET`` or ``AF_INET6``) – automatically
determined from ``local_host`` or ``remote_host`` if omitted
:param local_host: IP address or host name of the local interface to bind to
:param local_port: local port to bind to
:param reuse_port: ``True`` to allow multiple sockets to bind to the same
address/port (not supported on Windows)
:return: a connected UDP socket
"""
local_address = None
if local_host:
gai_res = await getaddrinfo(
str(local_host),
local_port,
family=family,
type=socket.SOCK_DGRAM,
flags=socket.AI_PASSIVE | socket.AI_ADDRCONFIG,
)
family = cast(AnyIPAddressFamily, gai_res[0][0])
local_address = gai_res[0][-1]
gai_res = await getaddrinfo(
str(remote_host), remote_port, family=family, type=socket.SOCK_DGRAM
)
family = cast(AnyIPAddressFamily, gai_res[0][0])
remote_address = gai_res[0][-1]
sock = await get_async_backend().create_udp_socket(
family, local_address, remote_address, reuse_port
)
return cast(ConnectedUDPSocket, sock)
async def create_unix_datagram_socket(
*,
local_path: None | str | bytes | PathLike[Any] = None,
local_mode: int | None = None,
) -> UNIXDatagramSocket:
"""
Create a UNIX datagram socket.
Not available on Windows.
If ``local_path`` has been given, the socket will be bound to this path, making this
socket suitable for receiving datagrams from other processes. Other processes can
send datagrams to this socket only if ``local_path`` is set.
If a socket already exists on the file system in the ``local_path``, it will be
removed first.
:param local_path: the path on which to bind to
:param local_mode: permissions to set on the local socket
:return: a UNIX datagram socket
"""
raw_socket = await setup_unix_local_socket(
local_path, local_mode, socket.SOCK_DGRAM
)
return await get_async_backend().create_unix_datagram_socket(raw_socket, None)
async def create_connected_unix_datagram_socket(
remote_path: str | bytes | PathLike[Any],
*,
local_path: None | str | bytes | PathLike[Any] = None,
local_mode: int | None = None,
) -> ConnectedUNIXDatagramSocket:
"""
Create a connected UNIX datagram socket.
Connected datagram sockets can only communicate with the specified remote path.
If ``local_path`` has been given, the socket will be bound to this path, making
this socket suitable for receiving datagrams from other processes. Other processes
can send datagrams to this socket only if ``local_path`` is set.
If a socket already exists on the file system in the ``local_path``, it will be
removed first.
:param remote_path: the path to set as the default target
:param local_path: the path on which to bind to
:param local_mode: permissions to set on the local socket
:return: a connected UNIX datagram socket
"""
remote_path = os.fspath(remote_path)
raw_socket = await setup_unix_local_socket(
local_path, local_mode, socket.SOCK_DGRAM
)
return await get_async_backend().create_unix_datagram_socket(
raw_socket, remote_path
)
async def getaddrinfo(
host: bytes | str | None,
port: str | int | None,
*,
family: int | AddressFamily = 0,
type: int | SocketKind = 0,
proto: int = 0,
flags: int = 0,
) -> list[tuple[AddressFamily, SocketKind, int, str, tuple[str, int]]]:
"""
Look up a numeric IP address given a host name.
Internationalized domain names are translated according to the (non-transitional)
IDNA 2008 standard.
.. note:: 4-tuple IPv6 socket addresses are automatically converted to 2-tuples of
(host, port), unlike what :func:`socket.getaddrinfo` does.
:param host: host name
:param port: port number
:param family: socket family (`'AF_INET``, ...)
:param type: socket type (``SOCK_STREAM``, ...)
:param proto: protocol number
:param flags: flags to pass to upstream ``getaddrinfo()``
:return: list of tuples containing (family, type, proto, canonname, sockaddr)
.. seealso:: :func:`socket.getaddrinfo`
"""
# Handle unicode hostnames
if isinstance(host, str):
try:
encoded_host: bytes | None = host.encode("ascii")
except UnicodeEncodeError:
import idna
encoded_host = idna.encode(host, uts46=True)
else:
encoded_host = host
gai_res = await get_async_backend().getaddrinfo(
encoded_host, port, family=family, type=type, proto=proto, flags=flags
)
return [
(family, type, proto, canonname, convert_ipv6_sockaddr(sockaddr))
for family, type, proto, canonname, sockaddr in gai_res
]
def getnameinfo(sockaddr: IPSockAddrType, flags: int = 0) -> Awaitable[tuple[str, str]]:
"""
Look up the host name of an IP address.
:param sockaddr: socket address (e.g. (ipaddress, port) for IPv4)
:param flags: flags to pass to upstream ``getnameinfo()``
:return: a tuple of (host name, service name)
.. seealso:: :func:`socket.getnameinfo`
"""
return get_async_backend().getnameinfo(sockaddr, flags)
def wait_socket_readable(sock: socket.socket) -> Awaitable[None]:
"""
Wait until the given socket has data to be read.
This does **NOT** work on Windows when using the asyncio backend with a proactor
event loop (default on py3.8+).
.. warning:: Only use this on raw sockets that have not been wrapped by any higher
level constructs like socket streams!
:param sock: a socket object
:raises ~anyio.ClosedResourceError: if the socket was closed while waiting for the
socket to become readable
:raises ~anyio.BusyResourceError: if another task is already waiting for the socket
to become readable
"""
return get_async_backend().wait_socket_readable(sock)
def wait_socket_writable(sock: socket.socket) -> Awaitable[None]:
"""
Wait until the given socket can be written to.
This does **NOT** work on Windows when using the asyncio backend with a proactor
event loop (default on py3.8+).
.. warning:: Only use this on raw sockets that have not been wrapped by any higher
level constructs like socket streams!
:param sock: a socket object
:raises ~anyio.ClosedResourceError: if the socket was closed while waiting for the
socket to become writable
:raises ~anyio.BusyResourceError: if another task is already waiting for the socket
to become writable
"""
return get_async_backend().wait_socket_writable(sock)
#
# Private API
#
def convert_ipv6_sockaddr(
sockaddr: tuple[str, int, int, int] | tuple[str, int],
) -> tuple[str, int]:
"""
Convert a 4-tuple IPv6 socket address to a 2-tuple (address, port) format.
If the scope ID is nonzero, it is added to the address, separated with ``%``.
Otherwise the flow id and scope id are simply cut off from the tuple.
Any other kinds of socket addresses are returned as-is.
:param sockaddr: the result of :meth:`~socket.socket.getsockname`
:return: the converted socket address
"""
# This is more complicated than it should be because of MyPy
if isinstance(sockaddr, tuple) and len(sockaddr) == 4:
host, port, flowinfo, scope_id = sockaddr
if scope_id:
# PyPy (as of v7.3.11) leaves the interface name in the result, so
# we discard it and only get the scope ID from the end
# (https://foss.heptapod.net/pypy/pypy/-/issues/3938)
host = host.split("%")[0]
# Add scope_id to the address
return f"{host}%{scope_id}", port
else:
return host, port
else:
return sockaddr
async def setup_unix_local_socket(
path: None | str | bytes | PathLike[Any],
mode: int | None,
socktype: int,
) -> socket.socket:
"""
Create a UNIX local socket object, deleting the socket at the given path if it
exists.
Not available on Windows.
:param path: path of the socket
:param mode: permissions to set on the socket
:param socktype: socket.SOCK_STREAM or socket.SOCK_DGRAM
"""
path_str: str | None
if path is not None:
path_str = os.fsdecode(path)
# Linux abstract namespace sockets aren't backed by a concrete file so skip stat call
if not path_str.startswith("\0"):
# Copied from pathlib...
try:
stat_result = os.stat(path)
except OSError as e:
if e.errno not in (
errno.ENOENT,
errno.ENOTDIR,
errno.EBADF,
errno.ELOOP,
):
raise
else:
if stat.S_ISSOCK(stat_result.st_mode):
os.unlink(path)
else:
path_str = None
raw_socket = socket.socket(socket.AF_UNIX, socktype)
raw_socket.setblocking(False)
if path_str is not None:
try:
await to_thread.run_sync(raw_socket.bind, path_str, abandon_on_cancel=True)
if mode is not None:
await to_thread.run_sync(chmod, path_str, mode, abandon_on_cancel=True)
except BaseException:
raw_socket.close()
raise
return raw_socket

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from __future__ import annotations
import math
from typing import TypeVar
from warnings import warn
from ..streams.memory import (
MemoryObjectReceiveStream,
MemoryObjectSendStream,
MemoryObjectStreamState,
)
T_Item = TypeVar("T_Item")
class create_memory_object_stream(
tuple[MemoryObjectSendStream[T_Item], MemoryObjectReceiveStream[T_Item]],
):
"""
Create a memory object stream.
The stream's item type can be annotated like
:func:`create_memory_object_stream[T_Item]`.
:param max_buffer_size: number of items held in the buffer until ``send()`` starts
blocking
:param item_type: old way of marking the streams with the right generic type for
static typing (does nothing on AnyIO 4)
.. deprecated:: 4.0
Use ``create_memory_object_stream[YourItemType](...)`` instead.
:return: a tuple of (send stream, receive stream)
"""
def __new__( # type: ignore[misc]
cls, max_buffer_size: float = 0, item_type: object = None
) -> tuple[MemoryObjectSendStream[T_Item], MemoryObjectReceiveStream[T_Item]]:
if max_buffer_size != math.inf and not isinstance(max_buffer_size, int):
raise ValueError("max_buffer_size must be either an integer or math.inf")
if max_buffer_size < 0:
raise ValueError("max_buffer_size cannot be negative")
if item_type is not None:
warn(
"The item_type argument has been deprecated in AnyIO 4.0. "
"Use create_memory_object_stream[YourItemType](...) instead.",
DeprecationWarning,
stacklevel=2,
)
state = MemoryObjectStreamState[T_Item](max_buffer_size)
return (MemoryObjectSendStream(state), MemoryObjectReceiveStream(state))

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from __future__ import annotations
import sys
from collections.abc import AsyncIterable, Iterable, Mapping, Sequence
from io import BytesIO
from os import PathLike
from subprocess import DEVNULL, PIPE, CalledProcessError, CompletedProcess
from typing import IO, Any, Union, cast
from ..abc import Process
from ._eventloop import get_async_backend
from ._tasks import create_task_group
if sys.version_info >= (3, 10):
from typing import TypeAlias
else:
from typing_extensions import TypeAlias
StrOrBytesPath: TypeAlias = Union[str, bytes, "PathLike[str]", "PathLike[bytes]"]
async def run_process(
command: StrOrBytesPath | Sequence[StrOrBytesPath],
*,
input: bytes | None = None,
stdout: int | IO[Any] | None = PIPE,
stderr: int | IO[Any] | None = PIPE,
check: bool = True,
cwd: StrOrBytesPath | None = None,
env: Mapping[str, str] | None = None,
startupinfo: Any = None,
creationflags: int = 0,
start_new_session: bool = False,
pass_fds: Sequence[int] = (),
user: str | int | None = None,
group: str | int | None = None,
extra_groups: Iterable[str | int] | None = None,
umask: int = -1,
) -> CompletedProcess[bytes]:
"""
Run an external command in a subprocess and wait until it completes.
.. seealso:: :func:`subprocess.run`
:param command: either a string to pass to the shell, or an iterable of strings
containing the executable name or path and its arguments
:param input: bytes passed to the standard input of the subprocess
:param stdout: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
a file-like object, or `None`
:param stderr: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
:data:`subprocess.STDOUT`, a file-like object, or `None`
:param check: if ``True``, raise :exc:`~subprocess.CalledProcessError` if the
process terminates with a return code other than 0
:param cwd: If not ``None``, change the working directory to this before running the
command
:param env: if not ``None``, this mapping replaces the inherited environment
variables from the parent process
:param startupinfo: an instance of :class:`subprocess.STARTUPINFO` that can be used
to specify process startup parameters (Windows only)
:param creationflags: flags that can be used to control the creation of the
subprocess (see :class:`subprocess.Popen` for the specifics)
:param start_new_session: if ``true`` the setsid() system call will be made in the
child process prior to the execution of the subprocess. (POSIX only)
:param pass_fds: sequence of file descriptors to keep open between the parent and
child processes. (POSIX only)
:param user: effective user to run the process as (Python >= 3.9, POSIX only)
:param group: effective group to run the process as (Python >= 3.9, POSIX only)
:param extra_groups: supplementary groups to set in the subprocess (Python >= 3.9,
POSIX only)
:param umask: if not negative, this umask is applied in the child process before
running the given command (Python >= 3.9, POSIX only)
:return: an object representing the completed process
:raises ~subprocess.CalledProcessError: if ``check`` is ``True`` and the process
exits with a nonzero return code
"""
async def drain_stream(stream: AsyncIterable[bytes], index: int) -> None:
buffer = BytesIO()
async for chunk in stream:
buffer.write(chunk)
stream_contents[index] = buffer.getvalue()
async with await open_process(
command,
stdin=PIPE if input else DEVNULL,
stdout=stdout,
stderr=stderr,
cwd=cwd,
env=env,
startupinfo=startupinfo,
creationflags=creationflags,
start_new_session=start_new_session,
pass_fds=pass_fds,
user=user,
group=group,
extra_groups=extra_groups,
umask=umask,
) as process:
stream_contents: list[bytes | None] = [None, None]
async with create_task_group() as tg:
if process.stdout:
tg.start_soon(drain_stream, process.stdout, 0)
if process.stderr:
tg.start_soon(drain_stream, process.stderr, 1)
if process.stdin and input:
await process.stdin.send(input)
await process.stdin.aclose()
await process.wait()
output, errors = stream_contents
if check and process.returncode != 0:
raise CalledProcessError(cast(int, process.returncode), command, output, errors)
return CompletedProcess(command, cast(int, process.returncode), output, errors)
async def open_process(
command: StrOrBytesPath | Sequence[StrOrBytesPath],
*,
stdin: int | IO[Any] | None = PIPE,
stdout: int | IO[Any] | None = PIPE,
stderr: int | IO[Any] | None = PIPE,
cwd: StrOrBytesPath | None = None,
env: Mapping[str, str] | None = None,
startupinfo: Any = None,
creationflags: int = 0,
start_new_session: bool = False,
pass_fds: Sequence[int] = (),
user: str | int | None = None,
group: str | int | None = None,
extra_groups: Iterable[str | int] | None = None,
umask: int = -1,
) -> Process:
"""
Start an external command in a subprocess.
.. seealso:: :class:`subprocess.Popen`
:param command: either a string to pass to the shell, or an iterable of strings
containing the executable name or path and its arguments
:param stdin: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`, a
file-like object, or ``None``
:param stdout: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
a file-like object, or ``None``
:param stderr: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
:data:`subprocess.STDOUT`, a file-like object, or ``None``
:param cwd: If not ``None``, the working directory is changed before executing
:param env: If env is not ``None``, it must be a mapping that defines the
environment variables for the new process
:param creationflags: flags that can be used to control the creation of the
subprocess (see :class:`subprocess.Popen` for the specifics)
:param startupinfo: an instance of :class:`subprocess.STARTUPINFO` that can be used
to specify process startup parameters (Windows only)
:param start_new_session: if ``true`` the setsid() system call will be made in the
child process prior to the execution of the subprocess. (POSIX only)
:param pass_fds: sequence of file descriptors to keep open between the parent and
child processes. (POSIX only)
:param user: effective user to run the process as (POSIX only)
:param group: effective group to run the process as (POSIX only)
:param extra_groups: supplementary groups to set in the subprocess (POSIX only)
:param umask: if not negative, this umask is applied in the child process before
running the given command (POSIX only)
:return: an asynchronous process object
"""
kwargs: dict[str, Any] = {}
if user is not None:
kwargs["user"] = user
if group is not None:
kwargs["group"] = group
if extra_groups is not None:
kwargs["extra_groups"] = group
if umask >= 0:
kwargs["umask"] = umask
return await get_async_backend().open_process(
command,
stdin=stdin,
stdout=stdout,
stderr=stderr,
cwd=cwd,
env=env,
startupinfo=startupinfo,
creationflags=creationflags,
start_new_session=start_new_session,
pass_fds=pass_fds,
**kwargs,
)

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from __future__ import annotations
import math
from collections import deque
from dataclasses import dataclass
from types import TracebackType
from sniffio import AsyncLibraryNotFoundError
from ..lowlevel import checkpoint
from ._eventloop import get_async_backend
from ._exceptions import BusyResourceError
from ._tasks import CancelScope
from ._testing import TaskInfo, get_current_task
@dataclass(frozen=True)
class EventStatistics:
"""
:ivar int tasks_waiting: number of tasks waiting on :meth:`~.Event.wait`
"""
tasks_waiting: int
@dataclass(frozen=True)
class CapacityLimiterStatistics:
"""
:ivar int borrowed_tokens: number of tokens currently borrowed by tasks
:ivar float total_tokens: total number of available tokens
:ivar tuple borrowers: tasks or other objects currently holding tokens borrowed from
this limiter
:ivar int tasks_waiting: number of tasks waiting on
:meth:`~.CapacityLimiter.acquire` or
:meth:`~.CapacityLimiter.acquire_on_behalf_of`
"""
borrowed_tokens: int
total_tokens: float
borrowers: tuple[object, ...]
tasks_waiting: int
@dataclass(frozen=True)
class LockStatistics:
"""
:ivar bool locked: flag indicating if this lock is locked or not
:ivar ~anyio.TaskInfo owner: task currently holding the lock (or ``None`` if the
lock is not held by any task)
:ivar int tasks_waiting: number of tasks waiting on :meth:`~.Lock.acquire`
"""
locked: bool
owner: TaskInfo | None
tasks_waiting: int
@dataclass(frozen=True)
class ConditionStatistics:
"""
:ivar int tasks_waiting: number of tasks blocked on :meth:`~.Condition.wait`
:ivar ~anyio.LockStatistics lock_statistics: statistics of the underlying
:class:`~.Lock`
"""
tasks_waiting: int
lock_statistics: LockStatistics
@dataclass(frozen=True)
class SemaphoreStatistics:
"""
:ivar int tasks_waiting: number of tasks waiting on :meth:`~.Semaphore.acquire`
"""
tasks_waiting: int
class Event:
def __new__(cls) -> Event:
try:
return get_async_backend().create_event()
except AsyncLibraryNotFoundError:
return EventAdapter()
def set(self) -> None:
"""Set the flag, notifying all listeners."""
raise NotImplementedError
def is_set(self) -> bool:
"""Return ``True`` if the flag is set, ``False`` if not."""
raise NotImplementedError
async def wait(self) -> None:
"""
Wait until the flag has been set.
If the flag has already been set when this method is called, it returns
immediately.
"""
raise NotImplementedError
def statistics(self) -> EventStatistics:
"""Return statistics about the current state of this event."""
raise NotImplementedError
class EventAdapter(Event):
_internal_event: Event | None = None
def __new__(cls) -> EventAdapter:
return object.__new__(cls)
@property
def _event(self) -> Event:
if self._internal_event is None:
self._internal_event = get_async_backend().create_event()
return self._internal_event
def set(self) -> None:
self._event.set()
def is_set(self) -> bool:
return self._internal_event is not None and self._internal_event.is_set()
async def wait(self) -> None:
await self._event.wait()
def statistics(self) -> EventStatistics:
if self._internal_event is None:
return EventStatistics(tasks_waiting=0)
return self._internal_event.statistics()
class Lock:
def __new__(cls, *, fast_acquire: bool = False) -> Lock:
try:
return get_async_backend().create_lock(fast_acquire=fast_acquire)
except AsyncLibraryNotFoundError:
return LockAdapter(fast_acquire=fast_acquire)
async def __aenter__(self) -> None:
await self.acquire()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.release()
async def acquire(self) -> None:
"""Acquire the lock."""
raise NotImplementedError
def acquire_nowait(self) -> None:
"""
Acquire the lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
raise NotImplementedError
def release(self) -> None:
"""Release the lock."""
raise NotImplementedError
def locked(self) -> bool:
"""Return True if the lock is currently held."""
raise NotImplementedError
def statistics(self) -> LockStatistics:
"""
Return statistics about the current state of this lock.
.. versionadded:: 3.0
"""
raise NotImplementedError
class LockAdapter(Lock):
_internal_lock: Lock | None = None
def __new__(cls, *, fast_acquire: bool = False) -> LockAdapter:
return object.__new__(cls)
def __init__(self, *, fast_acquire: bool = False):
self._fast_acquire = fast_acquire
@property
def _lock(self) -> Lock:
if self._internal_lock is None:
self._internal_lock = get_async_backend().create_lock(
fast_acquire=self._fast_acquire
)
return self._internal_lock
async def __aenter__(self) -> None:
await self._lock.acquire()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
if self._internal_lock is not None:
self._internal_lock.release()
async def acquire(self) -> None:
"""Acquire the lock."""
await self._lock.acquire()
def acquire_nowait(self) -> None:
"""
Acquire the lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
self._lock.acquire_nowait()
def release(self) -> None:
"""Release the lock."""
self._lock.release()
def locked(self) -> bool:
"""Return True if the lock is currently held."""
return self._lock.locked()
def statistics(self) -> LockStatistics:
"""
Return statistics about the current state of this lock.
.. versionadded:: 3.0
"""
if self._internal_lock is None:
return LockStatistics(False, None, 0)
return self._internal_lock.statistics()
class Condition:
_owner_task: TaskInfo | None = None
def __init__(self, lock: Lock | None = None):
self._lock = lock or Lock()
self._waiters: deque[Event] = deque()
async def __aenter__(self) -> None:
await self.acquire()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.release()
def _check_acquired(self) -> None:
if self._owner_task != get_current_task():
raise RuntimeError("The current task is not holding the underlying lock")
async def acquire(self) -> None:
"""Acquire the underlying lock."""
await self._lock.acquire()
self._owner_task = get_current_task()
def acquire_nowait(self) -> None:
"""
Acquire the underlying lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
self._lock.acquire_nowait()
self._owner_task = get_current_task()
def release(self) -> None:
"""Release the underlying lock."""
self._lock.release()
def locked(self) -> bool:
"""Return True if the lock is set."""
return self._lock.locked()
def notify(self, n: int = 1) -> None:
"""Notify exactly n listeners."""
self._check_acquired()
for _ in range(n):
try:
event = self._waiters.popleft()
except IndexError:
break
event.set()
def notify_all(self) -> None:
"""Notify all the listeners."""
self._check_acquired()
for event in self._waiters:
event.set()
self._waiters.clear()
async def wait(self) -> None:
"""Wait for a notification."""
await checkpoint()
event = Event()
self._waiters.append(event)
self.release()
try:
await event.wait()
except BaseException:
if not event.is_set():
self._waiters.remove(event)
raise
finally:
with CancelScope(shield=True):
await self.acquire()
def statistics(self) -> ConditionStatistics:
"""
Return statistics about the current state of this condition.
.. versionadded:: 3.0
"""
return ConditionStatistics(len(self._waiters), self._lock.statistics())
class Semaphore:
def __new__(
cls,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> Semaphore:
try:
return get_async_backend().create_semaphore(
initial_value, max_value=max_value, fast_acquire=fast_acquire
)
except AsyncLibraryNotFoundError:
return SemaphoreAdapter(initial_value, max_value=max_value)
def __init__(
self,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
):
if not isinstance(initial_value, int):
raise TypeError("initial_value must be an integer")
if initial_value < 0:
raise ValueError("initial_value must be >= 0")
if max_value is not None:
if not isinstance(max_value, int):
raise TypeError("max_value must be an integer or None")
if max_value < initial_value:
raise ValueError(
"max_value must be equal to or higher than initial_value"
)
self._fast_acquire = fast_acquire
async def __aenter__(self) -> Semaphore:
await self.acquire()
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.release()
async def acquire(self) -> None:
"""Decrement the semaphore value, blocking if necessary."""
raise NotImplementedError
def acquire_nowait(self) -> None:
"""
Acquire the underlying lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
raise NotImplementedError
def release(self) -> None:
"""Increment the semaphore value."""
raise NotImplementedError
@property
def value(self) -> int:
"""The current value of the semaphore."""
raise NotImplementedError
@property
def max_value(self) -> int | None:
"""The maximum value of the semaphore."""
raise NotImplementedError
def statistics(self) -> SemaphoreStatistics:
"""
Return statistics about the current state of this semaphore.
.. versionadded:: 3.0
"""
raise NotImplementedError
class SemaphoreAdapter(Semaphore):
_internal_semaphore: Semaphore | None = None
def __new__(
cls,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> SemaphoreAdapter:
return object.__new__(cls)
def __init__(
self,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> None:
super().__init__(initial_value, max_value=max_value, fast_acquire=fast_acquire)
self._initial_value = initial_value
self._max_value = max_value
@property
def _semaphore(self) -> Semaphore:
if self._internal_semaphore is None:
self._internal_semaphore = get_async_backend().create_semaphore(
self._initial_value, max_value=self._max_value
)
return self._internal_semaphore
async def acquire(self) -> None:
await self._semaphore.acquire()
def acquire_nowait(self) -> None:
self._semaphore.acquire_nowait()
def release(self) -> None:
self._semaphore.release()
@property
def value(self) -> int:
if self._internal_semaphore is None:
return self._initial_value
return self._semaphore.value
@property
def max_value(self) -> int | None:
return self._max_value
def statistics(self) -> SemaphoreStatistics:
if self._internal_semaphore is None:
return SemaphoreStatistics(tasks_waiting=0)
return self._semaphore.statistics()
class CapacityLimiter:
def __new__(cls, total_tokens: float) -> CapacityLimiter:
try:
return get_async_backend().create_capacity_limiter(total_tokens)
except AsyncLibraryNotFoundError:
return CapacityLimiterAdapter(total_tokens)
async def __aenter__(self) -> None:
raise NotImplementedError
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
raise NotImplementedError
@property
def total_tokens(self) -> float:
"""
The total number of tokens available for borrowing.
This is a read-write property. If the total number of tokens is increased, the
proportionate number of tasks waiting on this limiter will be granted their
tokens.
.. versionchanged:: 3.0
The property is now writable.
"""
raise NotImplementedError
@total_tokens.setter
def total_tokens(self, value: float) -> None:
raise NotImplementedError
@property
def borrowed_tokens(self) -> int:
"""The number of tokens that have currently been borrowed."""
raise NotImplementedError
@property
def available_tokens(self) -> float:
"""The number of tokens currently available to be borrowed"""
raise NotImplementedError
def acquire_nowait(self) -> None:
"""
Acquire a token for the current task without waiting for one to become
available.
:raises ~anyio.WouldBlock: if there are no tokens available for borrowing
"""
raise NotImplementedError
def acquire_on_behalf_of_nowait(self, borrower: object) -> None:
"""
Acquire a token without waiting for one to become available.
:param borrower: the entity borrowing a token
:raises ~anyio.WouldBlock: if there are no tokens available for borrowing
"""
raise NotImplementedError
async def acquire(self) -> None:
"""
Acquire a token for the current task, waiting if necessary for one to become
available.
"""
raise NotImplementedError
async def acquire_on_behalf_of(self, borrower: object) -> None:
"""
Acquire a token, waiting if necessary for one to become available.
:param borrower: the entity borrowing a token
"""
raise NotImplementedError
def release(self) -> None:
"""
Release the token held by the current task.
:raises RuntimeError: if the current task has not borrowed a token from this
limiter.
"""
raise NotImplementedError
def release_on_behalf_of(self, borrower: object) -> None:
"""
Release the token held by the given borrower.
:raises RuntimeError: if the borrower has not borrowed a token from this
limiter.
"""
raise NotImplementedError
def statistics(self) -> CapacityLimiterStatistics:
"""
Return statistics about the current state of this limiter.
.. versionadded:: 3.0
"""
raise NotImplementedError
class CapacityLimiterAdapter(CapacityLimiter):
_internal_limiter: CapacityLimiter | None = None
def __new__(cls, total_tokens: float) -> CapacityLimiterAdapter:
return object.__new__(cls)
def __init__(self, total_tokens: float) -> None:
self.total_tokens = total_tokens
@property
def _limiter(self) -> CapacityLimiter:
if self._internal_limiter is None:
self._internal_limiter = get_async_backend().create_capacity_limiter(
self._total_tokens
)
return self._internal_limiter
async def __aenter__(self) -> None:
await self._limiter.__aenter__()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
return await self._limiter.__aexit__(exc_type, exc_val, exc_tb)
@property
def total_tokens(self) -> float:
if self._internal_limiter is None:
return self._total_tokens
return self._internal_limiter.total_tokens
@total_tokens.setter
def total_tokens(self, value: float) -> None:
if not isinstance(value, int) and value is not math.inf:
raise TypeError("total_tokens must be an int or math.inf")
elif value < 1:
raise ValueError("total_tokens must be >= 1")
if self._internal_limiter is None:
self._total_tokens = value
return
self._limiter.total_tokens = value
@property
def borrowed_tokens(self) -> int:
if self._internal_limiter is None:
return 0
return self._internal_limiter.borrowed_tokens
@property
def available_tokens(self) -> float:
if self._internal_limiter is None:
return self._total_tokens
return self._internal_limiter.available_tokens
def acquire_nowait(self) -> None:
self._limiter.acquire_nowait()
def acquire_on_behalf_of_nowait(self, borrower: object) -> None:
self._limiter.acquire_on_behalf_of_nowait(borrower)
async def acquire(self) -> None:
await self._limiter.acquire()
async def acquire_on_behalf_of(self, borrower: object) -> None:
await self._limiter.acquire_on_behalf_of(borrower)
def release(self) -> None:
self._limiter.release()
def release_on_behalf_of(self, borrower: object) -> None:
self._limiter.release_on_behalf_of(borrower)
def statistics(self) -> CapacityLimiterStatistics:
if self._internal_limiter is None:
return CapacityLimiterStatistics(
borrowed_tokens=0,
total_tokens=self.total_tokens,
borrowers=(),
tasks_waiting=0,
)
return self._internal_limiter.statistics()
class ResourceGuard:
"""
A context manager for ensuring that a resource is only used by a single task at a
time.
Entering this context manager while the previous has not exited it yet will trigger
:exc:`BusyResourceError`.
:param action: the action to guard against (visible in the :exc:`BusyResourceError`
when triggered, e.g. "Another task is already {action} this resource")
.. versionadded:: 4.1
"""
__slots__ = "action", "_guarded"
def __init__(self, action: str = "using"):
self.action: str = action
self._guarded = False
def __enter__(self) -> None:
if self._guarded:
raise BusyResourceError(self.action)
self._guarded = True
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
self._guarded = False
return None

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from __future__ import annotations
import math
from collections.abc import Generator
from contextlib import contextmanager
from types import TracebackType
from ..abc._tasks import TaskGroup, TaskStatus
from ._eventloop import get_async_backend
class _IgnoredTaskStatus(TaskStatus[object]):
def started(self, value: object = None) -> None:
pass
TASK_STATUS_IGNORED = _IgnoredTaskStatus()
class CancelScope:
"""
Wraps a unit of work that can be made separately cancellable.
:param deadline: The time (clock value) when this scope is cancelled automatically
:param shield: ``True`` to shield the cancel scope from external cancellation
"""
def __new__(
cls, *, deadline: float = math.inf, shield: bool = False
) -> CancelScope:
return get_async_backend().create_cancel_scope(shield=shield, deadline=deadline)
def cancel(self) -> None:
"""Cancel this scope immediately."""
raise NotImplementedError
@property
def deadline(self) -> float:
"""
The time (clock value) when this scope is cancelled automatically.
Will be ``float('inf')`` if no timeout has been set.
"""
raise NotImplementedError
@deadline.setter
def deadline(self, value: float) -> None:
raise NotImplementedError
@property
def cancel_called(self) -> bool:
"""``True`` if :meth:`cancel` has been called."""
raise NotImplementedError
@property
def cancelled_caught(self) -> bool:
"""
``True`` if this scope suppressed a cancellation exception it itself raised.
This is typically used to check if any work was interrupted, or to see if the
scope was cancelled due to its deadline being reached. The value will, however,
only be ``True`` if the cancellation was triggered by the scope itself (and not
an outer scope).
"""
raise NotImplementedError
@property
def shield(self) -> bool:
"""
``True`` if this scope is shielded from external cancellation.
While a scope is shielded, it will not receive cancellations from outside.
"""
raise NotImplementedError
@shield.setter
def shield(self, value: bool) -> None:
raise NotImplementedError
def __enter__(self) -> CancelScope:
raise NotImplementedError
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
raise NotImplementedError
@contextmanager
def fail_after(
delay: float | None, shield: bool = False
) -> Generator[CancelScope, None, None]:
"""
Create a context manager which raises a :class:`TimeoutError` if does not finish in
time.
:param delay: maximum allowed time (in seconds) before raising the exception, or
``None`` to disable the timeout
:param shield: ``True`` to shield the cancel scope from external cancellation
:return: a context manager that yields a cancel scope
:rtype: :class:`~typing.ContextManager`\\[:class:`~anyio.CancelScope`\\]
"""
current_time = get_async_backend().current_time
deadline = (current_time() + delay) if delay is not None else math.inf
with get_async_backend().create_cancel_scope(
deadline=deadline, shield=shield
) as cancel_scope:
yield cancel_scope
if cancel_scope.cancelled_caught and current_time() >= cancel_scope.deadline:
raise TimeoutError
def move_on_after(delay: float | None, shield: bool = False) -> CancelScope:
"""
Create a cancel scope with a deadline that expires after the given delay.
:param delay: maximum allowed time (in seconds) before exiting the context block, or
``None`` to disable the timeout
:param shield: ``True`` to shield the cancel scope from external cancellation
:return: a cancel scope
"""
deadline = (
(get_async_backend().current_time() + delay) if delay is not None else math.inf
)
return get_async_backend().create_cancel_scope(deadline=deadline, shield=shield)
def current_effective_deadline() -> float:
"""
Return the nearest deadline among all the cancel scopes effective for the current
task.
:return: a clock value from the event loop's internal clock (or ``float('inf')`` if
there is no deadline in effect, or ``float('-inf')`` if the current scope has
been cancelled)
:rtype: float
"""
return get_async_backend().current_effective_deadline()
def create_task_group() -> TaskGroup:
"""
Create a task group.
:return: a task group
"""
return get_async_backend().create_task_group()

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from __future__ import annotations
from collections.abc import Awaitable, Generator
from typing import Any, cast
from ._eventloop import get_async_backend
class TaskInfo:
"""
Represents an asynchronous task.
:ivar int id: the unique identifier of the task
:ivar parent_id: the identifier of the parent task, if any
:vartype parent_id: Optional[int]
:ivar str name: the description of the task (if any)
:ivar ~collections.abc.Coroutine coro: the coroutine object of the task
"""
__slots__ = "_name", "id", "parent_id", "name", "coro"
def __init__(
self,
id: int,
parent_id: int | None,
name: str | None,
coro: Generator[Any, Any, Any] | Awaitable[Any],
):
func = get_current_task
self._name = f"{func.__module__}.{func.__qualname__}"
self.id: int = id
self.parent_id: int | None = parent_id
self.name: str | None = name
self.coro: Generator[Any, Any, Any] | Awaitable[Any] = coro
def __eq__(self, other: object) -> bool:
if isinstance(other, TaskInfo):
return self.id == other.id
return NotImplemented
def __hash__(self) -> int:
return hash(self.id)
def __repr__(self) -> str:
return f"{self.__class__.__name__}(id={self.id!r}, name={self.name!r})"
def has_pending_cancellation(self) -> bool:
"""
Return ``True`` if the task has a cancellation pending, ``False`` otherwise.
"""
return False
def get_current_task() -> TaskInfo:
"""
Return the current task.
:return: a representation of the current task
"""
return get_async_backend().get_current_task()
def get_running_tasks() -> list[TaskInfo]:
"""
Return a list of running tasks in the current event loop.
:return: a list of task info objects
"""
return cast("list[TaskInfo]", get_async_backend().get_running_tasks())
async def wait_all_tasks_blocked() -> None:
"""Wait until all other tasks are waiting for something."""
await get_async_backend().wait_all_tasks_blocked()

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from __future__ import annotations
from collections.abc import Callable, Mapping
from typing import Any, TypeVar, final, overload
from ._exceptions import TypedAttributeLookupError
T_Attr = TypeVar("T_Attr")
T_Default = TypeVar("T_Default")
undefined = object()
def typed_attribute() -> Any:
"""Return a unique object, used to mark typed attributes."""
return object()
class TypedAttributeSet:
"""
Superclass for typed attribute collections.
Checks that every public attribute of every subclass has a type annotation.
"""
def __init_subclass__(cls) -> None:
annotations: dict[str, Any] = getattr(cls, "__annotations__", {})
for attrname in dir(cls):
if not attrname.startswith("_") and attrname not in annotations:
raise TypeError(
f"Attribute {attrname!r} is missing its type annotation"
)
super().__init_subclass__()
class TypedAttributeProvider:
"""Base class for classes that wish to provide typed extra attributes."""
@property
def extra_attributes(self) -> Mapping[T_Attr, Callable[[], T_Attr]]:
"""
A mapping of the extra attributes to callables that return the corresponding
values.
If the provider wraps another provider, the attributes from that wrapper should
also be included in the returned mapping (but the wrapper may override the
callables from the wrapped instance).
"""
return {}
@overload
def extra(self, attribute: T_Attr) -> T_Attr: ...
@overload
def extra(self, attribute: T_Attr, default: T_Default) -> T_Attr | T_Default: ...
@final
def extra(self, attribute: Any, default: object = undefined) -> object:
"""
extra(attribute, default=undefined)
Return the value of the given typed extra attribute.
:param attribute: the attribute (member of a :class:`~TypedAttributeSet`) to
look for
:param default: the value that should be returned if no value is found for the
attribute
:raises ~anyio.TypedAttributeLookupError: if the search failed and no default
value was given
"""
try:
getter = self.extra_attributes[attribute]
except KeyError:
if default is undefined:
raise TypedAttributeLookupError("Attribute not found") from None
else:
return default
return getter()

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from __future__ import annotations
from typing import Any
from ._eventloop import AsyncBackend as AsyncBackend
from ._resources import AsyncResource as AsyncResource
from ._sockets import ConnectedUDPSocket as ConnectedUDPSocket
from ._sockets import ConnectedUNIXDatagramSocket as ConnectedUNIXDatagramSocket
from ._sockets import IPAddressType as IPAddressType
from ._sockets import IPSockAddrType as IPSockAddrType
from ._sockets import SocketAttribute as SocketAttribute
from ._sockets import SocketListener as SocketListener
from ._sockets import SocketStream as SocketStream
from ._sockets import UDPPacketType as UDPPacketType
from ._sockets import UDPSocket as UDPSocket
from ._sockets import UNIXDatagramPacketType as UNIXDatagramPacketType
from ._sockets import UNIXDatagramSocket as UNIXDatagramSocket
from ._sockets import UNIXSocketStream as UNIXSocketStream
from ._streams import AnyByteReceiveStream as AnyByteReceiveStream
from ._streams import AnyByteSendStream as AnyByteSendStream
from ._streams import AnyByteStream as AnyByteStream
from ._streams import AnyUnreliableByteReceiveStream as AnyUnreliableByteReceiveStream
from ._streams import AnyUnreliableByteSendStream as AnyUnreliableByteSendStream
from ._streams import AnyUnreliableByteStream as AnyUnreliableByteStream
from ._streams import ByteReceiveStream as ByteReceiveStream
from ._streams import ByteSendStream as ByteSendStream
from ._streams import ByteStream as ByteStream
from ._streams import Listener as Listener
from ._streams import ObjectReceiveStream as ObjectReceiveStream
from ._streams import ObjectSendStream as ObjectSendStream
from ._streams import ObjectStream as ObjectStream
from ._streams import UnreliableObjectReceiveStream as UnreliableObjectReceiveStream
from ._streams import UnreliableObjectSendStream as UnreliableObjectSendStream
from ._streams import UnreliableObjectStream as UnreliableObjectStream
from ._subprocesses import Process as Process
from ._tasks import TaskGroup as TaskGroup
from ._tasks import TaskStatus as TaskStatus
from ._testing import TestRunner as TestRunner
# Re-exported here, for backwards compatibility
# isort: off
from .._core._synchronization import (
CapacityLimiter as CapacityLimiter,
Condition as Condition,
Event as Event,
Lock as Lock,
Semaphore as Semaphore,
)
from .._core._tasks import CancelScope as CancelScope
from ..from_thread import BlockingPortal as BlockingPortal
# Re-export imports so they look like they live directly in this package
key: str
value: Any
for key, value in list(locals().items()):
if getattr(value, "__module__", "").startswith("anyio.abc."):
value.__module__ = __name__

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from __future__ import annotations
import math
import sys
from abc import ABCMeta, abstractmethod
from collections.abc import AsyncIterator, Awaitable, Callable, Sequence
from contextlib import AbstractContextManager
from os import PathLike
from signal import Signals
from socket import AddressFamily, SocketKind, socket
from typing import (
IO,
TYPE_CHECKING,
Any,
TypeVar,
Union,
overload,
)
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
if sys.version_info >= (3, 10):
from typing import TypeAlias
else:
from typing_extensions import TypeAlias
if TYPE_CHECKING:
from .._core._synchronization import CapacityLimiter, Event, Lock, Semaphore
from .._core._tasks import CancelScope
from .._core._testing import TaskInfo
from ..from_thread import BlockingPortal
from ._sockets import (
ConnectedUDPSocket,
ConnectedUNIXDatagramSocket,
IPSockAddrType,
SocketListener,
SocketStream,
UDPSocket,
UNIXDatagramSocket,
UNIXSocketStream,
)
from ._subprocesses import Process
from ._tasks import TaskGroup
from ._testing import TestRunner
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
StrOrBytesPath: TypeAlias = Union[str, bytes, "PathLike[str]", "PathLike[bytes]"]
class AsyncBackend(metaclass=ABCMeta):
@classmethod
@abstractmethod
def run(
cls,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
args: tuple[Unpack[PosArgsT]],
kwargs: dict[str, Any],
options: dict[str, Any],
) -> T_Retval:
"""
Run the given coroutine function in an asynchronous event loop.
The current thread must not be already running an event loop.
:param func: a coroutine function
:param args: positional arguments to ``func``
:param kwargs: positional arguments to ``func``
:param options: keyword arguments to call the backend ``run()`` implementation
with
:return: the return value of the coroutine function
"""
@classmethod
@abstractmethod
def current_token(cls) -> object:
"""
:return:
"""
@classmethod
@abstractmethod
def current_time(cls) -> float:
"""
Return the current value of the event loop's internal clock.
:return: the clock value (seconds)
"""
@classmethod
@abstractmethod
def cancelled_exception_class(cls) -> type[BaseException]:
"""Return the exception class that is raised in a task if it's cancelled."""
@classmethod
@abstractmethod
async def checkpoint(cls) -> None:
"""
Check if the task has been cancelled, and allow rescheduling of other tasks.
This is effectively the same as running :meth:`checkpoint_if_cancelled` and then
:meth:`cancel_shielded_checkpoint`.
"""
@classmethod
async def checkpoint_if_cancelled(cls) -> None:
"""
Check if the current task group has been cancelled.
This will check if the task has been cancelled, but will not allow other tasks
to be scheduled if not.
"""
if cls.current_effective_deadline() == -math.inf:
await cls.checkpoint()
@classmethod
async def cancel_shielded_checkpoint(cls) -> None:
"""
Allow the rescheduling of other tasks.
This will give other tasks the opportunity to run, but without checking if the
current task group has been cancelled, unlike with :meth:`checkpoint`.
"""
with cls.create_cancel_scope(shield=True):
await cls.sleep(0)
@classmethod
@abstractmethod
async def sleep(cls, delay: float) -> None:
"""
Pause the current task for the specified duration.
:param delay: the duration, in seconds
"""
@classmethod
@abstractmethod
def create_cancel_scope(
cls, *, deadline: float = math.inf, shield: bool = False
) -> CancelScope:
pass
@classmethod
@abstractmethod
def current_effective_deadline(cls) -> float:
"""
Return the nearest deadline among all the cancel scopes effective for the
current task.
:return:
- a clock value from the event loop's internal clock
- ``inf`` if there is no deadline in effect
- ``-inf`` if the current scope has been cancelled
:rtype: float
"""
@classmethod
@abstractmethod
def create_task_group(cls) -> TaskGroup:
pass
@classmethod
@abstractmethod
def create_event(cls) -> Event:
pass
@classmethod
@abstractmethod
def create_lock(cls, *, fast_acquire: bool) -> Lock:
pass
@classmethod
@abstractmethod
def create_semaphore(
cls,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> Semaphore:
pass
@classmethod
@abstractmethod
def create_capacity_limiter(cls, total_tokens: float) -> CapacityLimiter:
pass
@classmethod
@abstractmethod
async def run_sync_in_worker_thread(
cls,
func: Callable[[Unpack[PosArgsT]], T_Retval],
args: tuple[Unpack[PosArgsT]],
abandon_on_cancel: bool = False,
limiter: CapacityLimiter | None = None,
) -> T_Retval:
pass
@classmethod
@abstractmethod
def check_cancelled(cls) -> None:
pass
@classmethod
@abstractmethod
def run_async_from_thread(
cls,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
args: tuple[Unpack[PosArgsT]],
token: object,
) -> T_Retval:
pass
@classmethod
@abstractmethod
def run_sync_from_thread(
cls,
func: Callable[[Unpack[PosArgsT]], T_Retval],
args: tuple[Unpack[PosArgsT]],
token: object,
) -> T_Retval:
pass
@classmethod
@abstractmethod
def create_blocking_portal(cls) -> BlockingPortal:
pass
@classmethod
@abstractmethod
async def open_process(
cls,
command: StrOrBytesPath | Sequence[StrOrBytesPath],
*,
stdin: int | IO[Any] | None,
stdout: int | IO[Any] | None,
stderr: int | IO[Any] | None,
**kwargs: Any,
) -> Process:
pass
@classmethod
@abstractmethod
def setup_process_pool_exit_at_shutdown(cls, workers: set[Process]) -> None:
pass
@classmethod
@abstractmethod
async def connect_tcp(
cls, host: str, port: int, local_address: IPSockAddrType | None = None
) -> SocketStream:
pass
@classmethod
@abstractmethod
async def connect_unix(cls, path: str | bytes) -> UNIXSocketStream:
pass
@classmethod
@abstractmethod
def create_tcp_listener(cls, sock: socket) -> SocketListener:
pass
@classmethod
@abstractmethod
def create_unix_listener(cls, sock: socket) -> SocketListener:
pass
@classmethod
@abstractmethod
async def create_udp_socket(
cls,
family: AddressFamily,
local_address: IPSockAddrType | None,
remote_address: IPSockAddrType | None,
reuse_port: bool,
) -> UDPSocket | ConnectedUDPSocket:
pass
@classmethod
@overload
async def create_unix_datagram_socket(
cls, raw_socket: socket, remote_path: None
) -> UNIXDatagramSocket: ...
@classmethod
@overload
async def create_unix_datagram_socket(
cls, raw_socket: socket, remote_path: str | bytes
) -> ConnectedUNIXDatagramSocket: ...
@classmethod
@abstractmethod
async def create_unix_datagram_socket(
cls, raw_socket: socket, remote_path: str | bytes | None
) -> UNIXDatagramSocket | ConnectedUNIXDatagramSocket:
pass
@classmethod
@abstractmethod
async def getaddrinfo(
cls,
host: bytes | str | None,
port: str | int | None,
*,
family: int | AddressFamily = 0,
type: int | SocketKind = 0,
proto: int = 0,
flags: int = 0,
) -> list[
tuple[
AddressFamily,
SocketKind,
int,
str,
tuple[str, int] | tuple[str, int, int, int],
]
]:
pass
@classmethod
@abstractmethod
async def getnameinfo(
cls, sockaddr: IPSockAddrType, flags: int = 0
) -> tuple[str, str]:
pass
@classmethod
@abstractmethod
async def wait_socket_readable(cls, sock: socket) -> None:
pass
@classmethod
@abstractmethod
async def wait_socket_writable(cls, sock: socket) -> None:
pass
@classmethod
@abstractmethod
def current_default_thread_limiter(cls) -> CapacityLimiter:
pass
@classmethod
@abstractmethod
def open_signal_receiver(
cls, *signals: Signals
) -> AbstractContextManager[AsyncIterator[Signals]]:
pass
@classmethod
@abstractmethod
def get_current_task(cls) -> TaskInfo:
pass
@classmethod
@abstractmethod
def get_running_tasks(cls) -> Sequence[TaskInfo]:
pass
@classmethod
@abstractmethod
async def wait_all_tasks_blocked(cls) -> None:
pass
@classmethod
@abstractmethod
def create_test_runner(cls, options: dict[str, Any]) -> TestRunner:
pass

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from __future__ import annotations
from abc import ABCMeta, abstractmethod
from types import TracebackType
from typing import TypeVar
T = TypeVar("T")
class AsyncResource(metaclass=ABCMeta):
"""
Abstract base class for all closeable asynchronous resources.
Works as an asynchronous context manager which returns the instance itself on enter,
and calls :meth:`aclose` on exit.
"""
__slots__ = ()
async def __aenter__(self: T) -> T:
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
await self.aclose()
@abstractmethod
async def aclose(self) -> None:
"""Close the resource."""

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from __future__ import annotations
import socket
from abc import abstractmethod
from collections.abc import Callable, Collection, Mapping
from contextlib import AsyncExitStack
from io import IOBase
from ipaddress import IPv4Address, IPv6Address
from socket import AddressFamily
from types import TracebackType
from typing import Any, TypeVar, Union
from .._core._typedattr import (
TypedAttributeProvider,
TypedAttributeSet,
typed_attribute,
)
from ._streams import ByteStream, Listener, UnreliableObjectStream
from ._tasks import TaskGroup
IPAddressType = Union[str, IPv4Address, IPv6Address]
IPSockAddrType = tuple[str, int]
SockAddrType = Union[IPSockAddrType, str]
UDPPacketType = tuple[bytes, IPSockAddrType]
UNIXDatagramPacketType = tuple[bytes, str]
T_Retval = TypeVar("T_Retval")
class _NullAsyncContextManager:
async def __aenter__(self) -> None:
pass
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
return None
class SocketAttribute(TypedAttributeSet):
#: the address family of the underlying socket
family: AddressFamily = typed_attribute()
#: the local socket address of the underlying socket
local_address: SockAddrType = typed_attribute()
#: for IP addresses, the local port the underlying socket is bound to
local_port: int = typed_attribute()
#: the underlying stdlib socket object
raw_socket: socket.socket = typed_attribute()
#: the remote address the underlying socket is connected to
remote_address: SockAddrType = typed_attribute()
#: for IP addresses, the remote port the underlying socket is connected to
remote_port: int = typed_attribute()
class _SocketProvider(TypedAttributeProvider):
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
from .._core._sockets import convert_ipv6_sockaddr as convert
attributes: dict[Any, Callable[[], Any]] = {
SocketAttribute.family: lambda: self._raw_socket.family,
SocketAttribute.local_address: lambda: convert(
self._raw_socket.getsockname()
),
SocketAttribute.raw_socket: lambda: self._raw_socket,
}
try:
peername: tuple[str, int] | None = convert(self._raw_socket.getpeername())
except OSError:
peername = None
# Provide the remote address for connected sockets
if peername is not None:
attributes[SocketAttribute.remote_address] = lambda: peername
# Provide local and remote ports for IP based sockets
if self._raw_socket.family in (AddressFamily.AF_INET, AddressFamily.AF_INET6):
attributes[SocketAttribute.local_port] = (
lambda: self._raw_socket.getsockname()[1]
)
if peername is not None:
remote_port = peername[1]
attributes[SocketAttribute.remote_port] = lambda: remote_port
return attributes
@property
@abstractmethod
def _raw_socket(self) -> socket.socket:
pass
class SocketStream(ByteStream, _SocketProvider):
"""
Transports bytes over a socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
class UNIXSocketStream(SocketStream):
@abstractmethod
async def send_fds(self, message: bytes, fds: Collection[int | IOBase]) -> None:
"""
Send file descriptors along with a message to the peer.
:param message: a non-empty bytestring
:param fds: a collection of files (either numeric file descriptors or open file
or socket objects)
"""
@abstractmethod
async def receive_fds(self, msglen: int, maxfds: int) -> tuple[bytes, list[int]]:
"""
Receive file descriptors along with a message from the peer.
:param msglen: length of the message to expect from the peer
:param maxfds: maximum number of file descriptors to expect from the peer
:return: a tuple of (message, file descriptors)
"""
class SocketListener(Listener[SocketStream], _SocketProvider):
"""
Listens to incoming socket connections.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@abstractmethod
async def accept(self) -> SocketStream:
"""Accept an incoming connection."""
async def serve(
self,
handler: Callable[[SocketStream], Any],
task_group: TaskGroup | None = None,
) -> None:
from .. import create_task_group
async with AsyncExitStack() as stack:
if task_group is None:
task_group = await stack.enter_async_context(create_task_group())
while True:
stream = await self.accept()
task_group.start_soon(handler, stream)
class UDPSocket(UnreliableObjectStream[UDPPacketType], _SocketProvider):
"""
Represents an unconnected UDP socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
async def sendto(self, data: bytes, host: str, port: int) -> None:
"""
Alias for :meth:`~.UnreliableObjectSendStream.send` ((data, (host, port))).
"""
return await self.send((data, (host, port)))
class ConnectedUDPSocket(UnreliableObjectStream[bytes], _SocketProvider):
"""
Represents an connected UDP socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
class UNIXDatagramSocket(
UnreliableObjectStream[UNIXDatagramPacketType], _SocketProvider
):
"""
Represents an unconnected Unix datagram socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
async def sendto(self, data: bytes, path: str) -> None:
"""Alias for :meth:`~.UnreliableObjectSendStream.send` ((data, path))."""
return await self.send((data, path))
class ConnectedUNIXDatagramSocket(UnreliableObjectStream[bytes], _SocketProvider):
"""
Represents a connected Unix datagram socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""

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from __future__ import annotations
from abc import abstractmethod
from collections.abc import Callable
from typing import Any, Generic, TypeVar, Union
from .._core._exceptions import EndOfStream
from .._core._typedattr import TypedAttributeProvider
from ._resources import AsyncResource
from ._tasks import TaskGroup
T_Item = TypeVar("T_Item")
T_co = TypeVar("T_co", covariant=True)
T_contra = TypeVar("T_contra", contravariant=True)
class UnreliableObjectReceiveStream(
Generic[T_co], AsyncResource, TypedAttributeProvider
):
"""
An interface for receiving objects.
This interface makes no guarantees that the received messages arrive in the order in
which they were sent, or that no messages are missed.
Asynchronously iterating over objects of this type will yield objects matching the
given type parameter.
"""
def __aiter__(self) -> UnreliableObjectReceiveStream[T_co]:
return self
async def __anext__(self) -> T_co:
try:
return await self.receive()
except EndOfStream:
raise StopAsyncIteration
@abstractmethod
async def receive(self) -> T_co:
"""
Receive the next item.
:raises ~anyio.ClosedResourceError: if the receive stream has been explicitly
closed
:raises ~anyio.EndOfStream: if this stream has been closed from the other end
:raises ~anyio.BrokenResourceError: if this stream has been rendered unusable
due to external causes
"""
class UnreliableObjectSendStream(
Generic[T_contra], AsyncResource, TypedAttributeProvider
):
"""
An interface for sending objects.
This interface makes no guarantees that the messages sent will reach the
recipient(s) in the same order in which they were sent, or at all.
"""
@abstractmethod
async def send(self, item: T_contra) -> None:
"""
Send an item to the peer(s).
:param item: the item to send
:raises ~anyio.ClosedResourceError: if the send stream has been explicitly
closed
:raises ~anyio.BrokenResourceError: if this stream has been rendered unusable
due to external causes
"""
class UnreliableObjectStream(
UnreliableObjectReceiveStream[T_Item], UnreliableObjectSendStream[T_Item]
):
"""
A bidirectional message stream which does not guarantee the order or reliability of
message delivery.
"""
class ObjectReceiveStream(UnreliableObjectReceiveStream[T_co]):
"""
A receive message stream which guarantees that messages are received in the same
order in which they were sent, and that no messages are missed.
"""
class ObjectSendStream(UnreliableObjectSendStream[T_contra]):
"""
A send message stream which guarantees that messages are delivered in the same order
in which they were sent, without missing any messages in the middle.
"""
class ObjectStream(
ObjectReceiveStream[T_Item],
ObjectSendStream[T_Item],
UnreliableObjectStream[T_Item],
):
"""
A bidirectional message stream which guarantees the order and reliability of message
delivery.
"""
@abstractmethod
async def send_eof(self) -> None:
"""
Send an end-of-file indication to the peer.
You should not try to send any further data to this stream after calling this
method. This method is idempotent (does nothing on successive calls).
"""
class ByteReceiveStream(AsyncResource, TypedAttributeProvider):
"""
An interface for receiving bytes from a single peer.
Iterating this byte stream will yield a byte string of arbitrary length, but no more
than 65536 bytes.
"""
def __aiter__(self) -> ByteReceiveStream:
return self
async def __anext__(self) -> bytes:
try:
return await self.receive()
except EndOfStream:
raise StopAsyncIteration
@abstractmethod
async def receive(self, max_bytes: int = 65536) -> bytes:
"""
Receive at most ``max_bytes`` bytes from the peer.
.. note:: Implementors of this interface should not return an empty
:class:`bytes` object, and users should ignore them.
:param max_bytes: maximum number of bytes to receive
:return: the received bytes
:raises ~anyio.EndOfStream: if this stream has been closed from the other end
"""
class ByteSendStream(AsyncResource, TypedAttributeProvider):
"""An interface for sending bytes to a single peer."""
@abstractmethod
async def send(self, item: bytes) -> None:
"""
Send the given bytes to the peer.
:param item: the bytes to send
"""
class ByteStream(ByteReceiveStream, ByteSendStream):
"""A bidirectional byte stream."""
@abstractmethod
async def send_eof(self) -> None:
"""
Send an end-of-file indication to the peer.
You should not try to send any further data to this stream after calling this
method. This method is idempotent (does nothing on successive calls).
"""
#: Type alias for all unreliable bytes-oriented receive streams.
AnyUnreliableByteReceiveStream = Union[
UnreliableObjectReceiveStream[bytes], ByteReceiveStream
]
#: Type alias for all unreliable bytes-oriented send streams.
AnyUnreliableByteSendStream = Union[UnreliableObjectSendStream[bytes], ByteSendStream]
#: Type alias for all unreliable bytes-oriented streams.
AnyUnreliableByteStream = Union[UnreliableObjectStream[bytes], ByteStream]
#: Type alias for all bytes-oriented receive streams.
AnyByteReceiveStream = Union[ObjectReceiveStream[bytes], ByteReceiveStream]
#: Type alias for all bytes-oriented send streams.
AnyByteSendStream = Union[ObjectSendStream[bytes], ByteSendStream]
#: Type alias for all bytes-oriented streams.
AnyByteStream = Union[ObjectStream[bytes], ByteStream]
class Listener(Generic[T_co], AsyncResource, TypedAttributeProvider):
"""An interface for objects that let you accept incoming connections."""
@abstractmethod
async def serve(
self, handler: Callable[[T_co], Any], task_group: TaskGroup | None = None
) -> None:
"""
Accept incoming connections as they come in and start tasks to handle them.
:param handler: a callable that will be used to handle each accepted connection
:param task_group: the task group that will be used to start tasks for handling
each accepted connection (if omitted, an ad-hoc task group will be created)
"""

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from __future__ import annotations
from abc import abstractmethod
from signal import Signals
from ._resources import AsyncResource
from ._streams import ByteReceiveStream, ByteSendStream
class Process(AsyncResource):
"""An asynchronous version of :class:`subprocess.Popen`."""
@abstractmethod
async def wait(self) -> int:
"""
Wait until the process exits.
:return: the exit code of the process
"""
@abstractmethod
def terminate(self) -> None:
"""
Terminates the process, gracefully if possible.
On Windows, this calls ``TerminateProcess()``.
On POSIX systems, this sends ``SIGTERM`` to the process.
.. seealso:: :meth:`subprocess.Popen.terminate`
"""
@abstractmethod
def kill(self) -> None:
"""
Kills the process.
On Windows, this calls ``TerminateProcess()``.
On POSIX systems, this sends ``SIGKILL`` to the process.
.. seealso:: :meth:`subprocess.Popen.kill`
"""
@abstractmethod
def send_signal(self, signal: Signals) -> None:
"""
Send a signal to the subprocess.
.. seealso:: :meth:`subprocess.Popen.send_signal`
:param signal: the signal number (e.g. :data:`signal.SIGHUP`)
"""
@property
@abstractmethod
def pid(self) -> int:
"""The process ID of the process."""
@property
@abstractmethod
def returncode(self) -> int | None:
"""
The return code of the process. If the process has not yet terminated, this will
be ``None``.
"""
@property
@abstractmethod
def stdin(self) -> ByteSendStream | None:
"""The stream for the standard input of the process."""
@property
@abstractmethod
def stdout(self) -> ByteReceiveStream | None:
"""The stream for the standard output of the process."""
@property
@abstractmethod
def stderr(self) -> ByteReceiveStream | None:
"""The stream for the standard error output of the process."""

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from __future__ import annotations
import sys
from abc import ABCMeta, abstractmethod
from collections.abc import Awaitable, Callable
from types import TracebackType
from typing import TYPE_CHECKING, Any, Protocol, TypeVar, overload
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
if TYPE_CHECKING:
from .._core._tasks import CancelScope
T_Retval = TypeVar("T_Retval")
T_contra = TypeVar("T_contra", contravariant=True)
PosArgsT = TypeVarTuple("PosArgsT")
class TaskStatus(Protocol[T_contra]):
@overload
def started(self: TaskStatus[None]) -> None: ...
@overload
def started(self, value: T_contra) -> None: ...
def started(self, value: T_contra | None = None) -> None:
"""
Signal that the task has started.
:param value: object passed back to the starter of the task
"""
class TaskGroup(metaclass=ABCMeta):
"""
Groups several asynchronous tasks together.
:ivar cancel_scope: the cancel scope inherited by all child tasks
:vartype cancel_scope: CancelScope
"""
cancel_scope: CancelScope
@abstractmethod
def start_soon(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[Any]],
*args: Unpack[PosArgsT],
name: object = None,
) -> None:
"""
Start a new task in this task group.
:param func: a coroutine function
:param args: positional arguments to call the function with
:param name: name of the task, for the purposes of introspection and debugging
.. versionadded:: 3.0
"""
@abstractmethod
async def start(
self,
func: Callable[..., Awaitable[Any]],
*args: object,
name: object = None,
) -> Any:
"""
Start a new task and wait until it signals for readiness.
:param func: a coroutine function
:param args: positional arguments to call the function with
:param name: name of the task, for the purposes of introspection and debugging
:return: the value passed to ``task_status.started()``
:raises RuntimeError: if the task finishes without calling
``task_status.started()``
.. versionadded:: 3.0
"""
@abstractmethod
async def __aenter__(self) -> TaskGroup:
"""Enter the task group context and allow starting new tasks."""
@abstractmethod
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
"""Exit the task group context waiting for all tasks to finish."""

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from __future__ import annotations
import types
from abc import ABCMeta, abstractmethod
from collections.abc import AsyncGenerator, Callable, Coroutine, Iterable
from typing import Any, TypeVar
_T = TypeVar("_T")
class TestRunner(metaclass=ABCMeta):
"""
Encapsulates a running event loop. Every call made through this object will use the
same event loop.
"""
def __enter__(self) -> TestRunner:
return self
@abstractmethod
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: types.TracebackType | None,
) -> bool | None: ...
@abstractmethod
def run_asyncgen_fixture(
self,
fixture_func: Callable[..., AsyncGenerator[_T, Any]],
kwargs: dict[str, Any],
) -> Iterable[_T]:
"""
Run an async generator fixture.
:param fixture_func: the fixture function
:param kwargs: keyword arguments to call the fixture function with
:return: an iterator yielding the value yielded from the async generator
"""
@abstractmethod
def run_fixture(
self,
fixture_func: Callable[..., Coroutine[Any, Any, _T]],
kwargs: dict[str, Any],
) -> _T:
"""
Run an async fixture.
:param fixture_func: the fixture function
:param kwargs: keyword arguments to call the fixture function with
:return: the return value of the fixture function
"""
@abstractmethod
def run_test(
self, test_func: Callable[..., Coroutine[Any, Any, Any]], kwargs: dict[str, Any]
) -> None:
"""
Run an async test function.
:param test_func: the test function
:param kwargs: keyword arguments to call the test function with
"""

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from __future__ import annotations
import sys
from collections.abc import Awaitable, Callable, Generator
from concurrent.futures import Future
from contextlib import (
AbstractAsyncContextManager,
AbstractContextManager,
contextmanager,
)
from dataclasses import dataclass, field
from inspect import isawaitable
from threading import Lock, Thread, get_ident
from types import TracebackType
from typing import (
Any,
Generic,
TypeVar,
cast,
overload,
)
from ._core import _eventloop
from ._core._eventloop import get_async_backend, get_cancelled_exc_class, threadlocals
from ._core._synchronization import Event
from ._core._tasks import CancelScope, create_task_group
from .abc import AsyncBackend
from .abc._tasks import TaskStatus
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
T_Retval = TypeVar("T_Retval")
T_co = TypeVar("T_co", covariant=True)
PosArgsT = TypeVarTuple("PosArgsT")
def run(
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]], *args: Unpack[PosArgsT]
) -> T_Retval:
"""
Call a coroutine function from a worker thread.
:param func: a coroutine function
:param args: positional arguments for the callable
:return: the return value of the coroutine function
"""
try:
async_backend = threadlocals.current_async_backend
token = threadlocals.current_token
except AttributeError:
raise RuntimeError(
"This function can only be run from an AnyIO worker thread"
) from None
return async_backend.run_async_from_thread(func, args, token=token)
def run_sync(
func: Callable[[Unpack[PosArgsT]], T_Retval], *args: Unpack[PosArgsT]
) -> T_Retval:
"""
Call a function in the event loop thread from a worker thread.
:param func: a callable
:param args: positional arguments for the callable
:return: the return value of the callable
"""
try:
async_backend = threadlocals.current_async_backend
token = threadlocals.current_token
except AttributeError:
raise RuntimeError(
"This function can only be run from an AnyIO worker thread"
) from None
return async_backend.run_sync_from_thread(func, args, token=token)
class _BlockingAsyncContextManager(Generic[T_co], AbstractContextManager):
_enter_future: Future[T_co]
_exit_future: Future[bool | None]
_exit_event: Event
_exit_exc_info: tuple[
type[BaseException] | None, BaseException | None, TracebackType | None
] = (None, None, None)
def __init__(
self, async_cm: AbstractAsyncContextManager[T_co], portal: BlockingPortal
):
self._async_cm = async_cm
self._portal = portal
async def run_async_cm(self) -> bool | None:
try:
self._exit_event = Event()
value = await self._async_cm.__aenter__()
except BaseException as exc:
self._enter_future.set_exception(exc)
raise
else:
self._enter_future.set_result(value)
try:
# Wait for the sync context manager to exit.
# This next statement can raise `get_cancelled_exc_class()` if
# something went wrong in a task group in this async context
# manager.
await self._exit_event.wait()
finally:
# In case of cancellation, it could be that we end up here before
# `_BlockingAsyncContextManager.__exit__` is called, and an
# `_exit_exc_info` has been set.
result = await self._async_cm.__aexit__(*self._exit_exc_info)
return result
def __enter__(self) -> T_co:
self._enter_future = Future()
self._exit_future = self._portal.start_task_soon(self.run_async_cm)
return self._enter_future.result()
def __exit__(
self,
__exc_type: type[BaseException] | None,
__exc_value: BaseException | None,
__traceback: TracebackType | None,
) -> bool | None:
self._exit_exc_info = __exc_type, __exc_value, __traceback
self._portal.call(self._exit_event.set)
return self._exit_future.result()
class _BlockingPortalTaskStatus(TaskStatus):
def __init__(self, future: Future):
self._future = future
def started(self, value: object = None) -> None:
self._future.set_result(value)
class BlockingPortal:
"""An object that lets external threads run code in an asynchronous event loop."""
def __new__(cls) -> BlockingPortal:
return get_async_backend().create_blocking_portal()
def __init__(self) -> None:
self._event_loop_thread_id: int | None = get_ident()
self._stop_event = Event()
self._task_group = create_task_group()
self._cancelled_exc_class = get_cancelled_exc_class()
async def __aenter__(self) -> BlockingPortal:
await self._task_group.__aenter__()
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
await self.stop()
return await self._task_group.__aexit__(exc_type, exc_val, exc_tb)
def _check_running(self) -> None:
if self._event_loop_thread_id is None:
raise RuntimeError("This portal is not running")
if self._event_loop_thread_id == get_ident():
raise RuntimeError(
"This method cannot be called from the event loop thread"
)
async def sleep_until_stopped(self) -> None:
"""Sleep until :meth:`stop` is called."""
await self._stop_event.wait()
async def stop(self, cancel_remaining: bool = False) -> None:
"""
Signal the portal to shut down.
This marks the portal as no longer accepting new calls and exits from
:meth:`sleep_until_stopped`.
:param cancel_remaining: ``True`` to cancel all the remaining tasks, ``False``
to let them finish before returning
"""
self._event_loop_thread_id = None
self._stop_event.set()
if cancel_remaining:
self._task_group.cancel_scope.cancel()
async def _call_func(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
args: tuple[Unpack[PosArgsT]],
kwargs: dict[str, Any],
future: Future[T_Retval],
) -> None:
def callback(f: Future[T_Retval]) -> None:
if f.cancelled() and self._event_loop_thread_id not in (
None,
get_ident(),
):
self.call(scope.cancel)
try:
retval_or_awaitable = func(*args, **kwargs)
if isawaitable(retval_or_awaitable):
with CancelScope() as scope:
if future.cancelled():
scope.cancel()
else:
future.add_done_callback(callback)
retval = await retval_or_awaitable
else:
retval = retval_or_awaitable
except self._cancelled_exc_class:
future.cancel()
future.set_running_or_notify_cancel()
except BaseException as exc:
if not future.cancelled():
future.set_exception(exc)
# Let base exceptions fall through
if not isinstance(exc, Exception):
raise
else:
if not future.cancelled():
future.set_result(retval)
finally:
scope = None # type: ignore[assignment]
def _spawn_task_from_thread(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
args: tuple[Unpack[PosArgsT]],
kwargs: dict[str, Any],
name: object,
future: Future[T_Retval],
) -> None:
"""
Spawn a new task using the given callable.
Implementors must ensure that the future is resolved when the task finishes.
:param func: a callable
:param args: positional arguments to be passed to the callable
:param kwargs: keyword arguments to be passed to the callable
:param name: name of the task (will be coerced to a string if not ``None``)
:param future: a future that will resolve to the return value of the callable,
or the exception raised during its execution
"""
raise NotImplementedError
@overload
def call(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
) -> T_Retval: ...
@overload
def call(
self, func: Callable[[Unpack[PosArgsT]], T_Retval], *args: Unpack[PosArgsT]
) -> T_Retval: ...
def call(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
*args: Unpack[PosArgsT],
) -> T_Retval:
"""
Call the given function in the event loop thread.
If the callable returns a coroutine object, it is awaited on.
:param func: any callable
:raises RuntimeError: if the portal is not running or if this method is called
from within the event loop thread
"""
return cast(T_Retval, self.start_task_soon(func, *args).result())
@overload
def start_task_soon(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
name: object = None,
) -> Future[T_Retval]: ...
@overload
def start_task_soon(
self,
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
name: object = None,
) -> Future[T_Retval]: ...
def start_task_soon(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
*args: Unpack[PosArgsT],
name: object = None,
) -> Future[T_Retval]:
"""
Start a task in the portal's task group.
The task will be run inside a cancel scope which can be cancelled by cancelling
the returned future.
:param func: the target function
:param args: positional arguments passed to ``func``
:param name: name of the task (will be coerced to a string if not ``None``)
:return: a future that resolves with the return value of the callable if the
task completes successfully, or with the exception raised in the task
:raises RuntimeError: if the portal is not running or if this method is called
from within the event loop thread
:rtype: concurrent.futures.Future[T_Retval]
.. versionadded:: 3.0
"""
self._check_running()
f: Future[T_Retval] = Future()
self._spawn_task_from_thread(func, args, {}, name, f)
return f
def start_task(
self,
func: Callable[..., Awaitable[T_Retval]],
*args: object,
name: object = None,
) -> tuple[Future[T_Retval], Any]:
"""
Start a task in the portal's task group and wait until it signals for readiness.
This method works the same way as :meth:`.abc.TaskGroup.start`.
:param func: the target function
:param args: positional arguments passed to ``func``
:param name: name of the task (will be coerced to a string if not ``None``)
:return: a tuple of (future, task_status_value) where the ``task_status_value``
is the value passed to ``task_status.started()`` from within the target
function
:rtype: tuple[concurrent.futures.Future[T_Retval], Any]
.. versionadded:: 3.0
"""
def task_done(future: Future[T_Retval]) -> None:
if not task_status_future.done():
if future.cancelled():
task_status_future.cancel()
elif future.exception():
task_status_future.set_exception(future.exception())
else:
exc = RuntimeError(
"Task exited without calling task_status.started()"
)
task_status_future.set_exception(exc)
self._check_running()
task_status_future: Future = Future()
task_status = _BlockingPortalTaskStatus(task_status_future)
f: Future = Future()
f.add_done_callback(task_done)
self._spawn_task_from_thread(func, args, {"task_status": task_status}, name, f)
return f, task_status_future.result()
def wrap_async_context_manager(
self, cm: AbstractAsyncContextManager[T_co]
) -> AbstractContextManager[T_co]:
"""
Wrap an async context manager as a synchronous context manager via this portal.
Spawns a task that will call both ``__aenter__()`` and ``__aexit__()``, stopping
in the middle until the synchronous context manager exits.
:param cm: an asynchronous context manager
:return: a synchronous context manager
.. versionadded:: 2.1
"""
return _BlockingAsyncContextManager(cm, self)
@dataclass
class BlockingPortalProvider:
"""
A manager for a blocking portal. Used as a context manager. The first thread to
enter this context manager causes a blocking portal to be started with the specific
parameters, and the last thread to exit causes the portal to be shut down. Thus,
there will be exactly one blocking portal running in this context as long as at
least one thread has entered this context manager.
The parameters are the same as for :func:`~anyio.run`.
:param backend: name of the backend
:param backend_options: backend options
.. versionadded:: 4.4
"""
backend: str = "asyncio"
backend_options: dict[str, Any] | None = None
_lock: Lock = field(init=False, default_factory=Lock)
_leases: int = field(init=False, default=0)
_portal: BlockingPortal = field(init=False)
_portal_cm: AbstractContextManager[BlockingPortal] | None = field(
init=False, default=None
)
def __enter__(self) -> BlockingPortal:
with self._lock:
if self._portal_cm is None:
self._portal_cm = start_blocking_portal(
self.backend, self.backend_options
)
self._portal = self._portal_cm.__enter__()
self._leases += 1
return self._portal
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
portal_cm: AbstractContextManager[BlockingPortal] | None = None
with self._lock:
assert self._portal_cm
assert self._leases > 0
self._leases -= 1
if not self._leases:
portal_cm = self._portal_cm
self._portal_cm = None
del self._portal
if portal_cm:
portal_cm.__exit__(None, None, None)
@contextmanager
def start_blocking_portal(
backend: str = "asyncio", backend_options: dict[str, Any] | None = None
) -> Generator[BlockingPortal, Any, None]:
"""
Start a new event loop in a new thread and run a blocking portal in its main task.
The parameters are the same as for :func:`~anyio.run`.
:param backend: name of the backend
:param backend_options: backend options
:return: a context manager that yields a blocking portal
.. versionchanged:: 3.0
Usage as a context manager is now required.
"""
async def run_portal() -> None:
async with BlockingPortal() as portal_:
future.set_result(portal_)
await portal_.sleep_until_stopped()
def run_blocking_portal() -> None:
if future.set_running_or_notify_cancel():
try:
_eventloop.run(
run_portal, backend=backend, backend_options=backend_options
)
except BaseException as exc:
if not future.done():
future.set_exception(exc)
future: Future[BlockingPortal] = Future()
thread = Thread(target=run_blocking_portal, daemon=True)
thread.start()
try:
cancel_remaining_tasks = False
portal = future.result()
try:
yield portal
except BaseException:
cancel_remaining_tasks = True
raise
finally:
try:
portal.call(portal.stop, cancel_remaining_tasks)
except RuntimeError:
pass
finally:
thread.join()
def check_cancelled() -> None:
"""
Check if the cancel scope of the host task's running the current worker thread has
been cancelled.
If the host task's current cancel scope has indeed been cancelled, the
backend-specific cancellation exception will be raised.
:raises RuntimeError: if the current thread was not spawned by
:func:`.to_thread.run_sync`
"""
try:
async_backend: AsyncBackend = threadlocals.current_async_backend
except AttributeError:
raise RuntimeError(
"This function can only be run from an AnyIO worker thread"
) from None
async_backend.check_cancelled()

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from __future__ import annotations
import enum
from dataclasses import dataclass
from typing import Any, Generic, Literal, TypeVar, overload
from weakref import WeakKeyDictionary
from ._core._eventloop import get_async_backend
T = TypeVar("T")
D = TypeVar("D")
async def checkpoint() -> None:
"""
Check for cancellation and allow the scheduler to switch to another task.
Equivalent to (but more efficient than)::
await checkpoint_if_cancelled()
await cancel_shielded_checkpoint()
.. versionadded:: 3.0
"""
await get_async_backend().checkpoint()
async def checkpoint_if_cancelled() -> None:
"""
Enter a checkpoint if the enclosing cancel scope has been cancelled.
This does not allow the scheduler to switch to a different task.
.. versionadded:: 3.0
"""
await get_async_backend().checkpoint_if_cancelled()
async def cancel_shielded_checkpoint() -> None:
"""
Allow the scheduler to switch to another task but without checking for cancellation.
Equivalent to (but potentially more efficient than)::
with CancelScope(shield=True):
await checkpoint()
.. versionadded:: 3.0
"""
await get_async_backend().cancel_shielded_checkpoint()
def current_token() -> object:
"""
Return a backend specific token object that can be used to get back to the event
loop.
"""
return get_async_backend().current_token()
_run_vars: WeakKeyDictionary[Any, dict[str, Any]] = WeakKeyDictionary()
_token_wrappers: dict[Any, _TokenWrapper] = {}
@dataclass(frozen=True)
class _TokenWrapper:
__slots__ = "_token", "__weakref__"
_token: object
class _NoValueSet(enum.Enum):
NO_VALUE_SET = enum.auto()
class RunvarToken(Generic[T]):
__slots__ = "_var", "_value", "_redeemed"
def __init__(self, var: RunVar[T], value: T | Literal[_NoValueSet.NO_VALUE_SET]):
self._var = var
self._value: T | Literal[_NoValueSet.NO_VALUE_SET] = value
self._redeemed = False
class RunVar(Generic[T]):
"""
Like a :class:`~contextvars.ContextVar`, except scoped to the running event loop.
"""
__slots__ = "_name", "_default"
NO_VALUE_SET: Literal[_NoValueSet.NO_VALUE_SET] = _NoValueSet.NO_VALUE_SET
_token_wrappers: set[_TokenWrapper] = set()
def __init__(
self, name: str, default: T | Literal[_NoValueSet.NO_VALUE_SET] = NO_VALUE_SET
):
self._name = name
self._default = default
@property
def _current_vars(self) -> dict[str, T]:
token = current_token()
try:
return _run_vars[token]
except KeyError:
run_vars = _run_vars[token] = {}
return run_vars
@overload
def get(self, default: D) -> T | D: ...
@overload
def get(self) -> T: ...
def get(
self, default: D | Literal[_NoValueSet.NO_VALUE_SET] = NO_VALUE_SET
) -> T | D:
try:
return self._current_vars[self._name]
except KeyError:
if default is not RunVar.NO_VALUE_SET:
return default
elif self._default is not RunVar.NO_VALUE_SET:
return self._default
raise LookupError(
f'Run variable "{self._name}" has no value and no default set'
)
def set(self, value: T) -> RunvarToken[T]:
current_vars = self._current_vars
token = RunvarToken(self, current_vars.get(self._name, RunVar.NO_VALUE_SET))
current_vars[self._name] = value
return token
def reset(self, token: RunvarToken[T]) -> None:
if token._var is not self:
raise ValueError("This token does not belong to this RunVar")
if token._redeemed:
raise ValueError("This token has already been used")
if token._value is _NoValueSet.NO_VALUE_SET:
try:
del self._current_vars[self._name]
except KeyError:
pass
else:
self._current_vars[self._name] = token._value
token._redeemed = True
def __repr__(self) -> str:
return f"<RunVar name={self._name!r}>"

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from __future__ import annotations
import sys
from collections.abc import Generator, Iterator
from contextlib import ExitStack, contextmanager
from inspect import isasyncgenfunction, iscoroutinefunction, ismethod
from typing import Any, cast
import pytest
import sniffio
from _pytest.fixtures import SubRequest
from _pytest.outcomes import Exit
from ._core._eventloop import get_all_backends, get_async_backend
from ._core._exceptions import iterate_exceptions
from .abc import TestRunner
if sys.version_info < (3, 11):
from exceptiongroup import ExceptionGroup
_current_runner: TestRunner | None = None
_runner_stack: ExitStack | None = None
_runner_leases = 0
def extract_backend_and_options(backend: object) -> tuple[str, dict[str, Any]]:
if isinstance(backend, str):
return backend, {}
elif isinstance(backend, tuple) and len(backend) == 2:
if isinstance(backend[0], str) and isinstance(backend[1], dict):
return cast(tuple[str, dict[str, Any]], backend)
raise TypeError("anyio_backend must be either a string or tuple of (string, dict)")
@contextmanager
def get_runner(
backend_name: str, backend_options: dict[str, Any]
) -> Iterator[TestRunner]:
global _current_runner, _runner_leases, _runner_stack
if _current_runner is None:
asynclib = get_async_backend(backend_name)
_runner_stack = ExitStack()
if sniffio.current_async_library_cvar.get(None) is None:
# Since we're in control of the event loop, we can cache the name of the
# async library
token = sniffio.current_async_library_cvar.set(backend_name)
_runner_stack.callback(sniffio.current_async_library_cvar.reset, token)
backend_options = backend_options or {}
_current_runner = _runner_stack.enter_context(
asynclib.create_test_runner(backend_options)
)
_runner_leases += 1
try:
yield _current_runner
finally:
_runner_leases -= 1
if not _runner_leases:
assert _runner_stack is not None
_runner_stack.close()
_runner_stack = _current_runner = None
def pytest_configure(config: Any) -> None:
config.addinivalue_line(
"markers",
"anyio: mark the (coroutine function) test to be run "
"asynchronously via anyio.",
)
@pytest.hookimpl(hookwrapper=True)
def pytest_fixture_setup(fixturedef: Any, request: Any) -> Generator[Any]:
def wrapper(
*args: Any, anyio_backend: Any, request: SubRequest, **kwargs: Any
) -> Any:
# Rebind any fixture methods to the request instance
if (
request.instance
and ismethod(func)
and type(func.__self__) is type(request.instance)
):
local_func = func.__func__.__get__(request.instance)
else:
local_func = func
backend_name, backend_options = extract_backend_and_options(anyio_backend)
if has_backend_arg:
kwargs["anyio_backend"] = anyio_backend
if has_request_arg:
kwargs["request"] = request
with get_runner(backend_name, backend_options) as runner:
if isasyncgenfunction(local_func):
yield from runner.run_asyncgen_fixture(local_func, kwargs)
else:
yield runner.run_fixture(local_func, kwargs)
# Only apply this to coroutine functions and async generator functions in requests
# that involve the anyio_backend fixture
func = fixturedef.func
if isasyncgenfunction(func) or iscoroutinefunction(func):
if "anyio_backend" in request.fixturenames:
fixturedef.func = wrapper
original_argname = fixturedef.argnames
if not (has_backend_arg := "anyio_backend" in fixturedef.argnames):
fixturedef.argnames += ("anyio_backend",)
if not (has_request_arg := "request" in fixturedef.argnames):
fixturedef.argnames += ("request",)
try:
return (yield)
finally:
fixturedef.func = func
fixturedef.argnames = original_argname
return (yield)
@pytest.hookimpl(tryfirst=True)
def pytest_pycollect_makeitem(collector: Any, name: Any, obj: Any) -> None:
if collector.istestfunction(obj, name):
inner_func = obj.hypothesis.inner_test if hasattr(obj, "hypothesis") else obj
if iscoroutinefunction(inner_func):
marker = collector.get_closest_marker("anyio")
own_markers = getattr(obj, "pytestmark", ())
if marker or any(marker.name == "anyio" for marker in own_markers):
pytest.mark.usefixtures("anyio_backend")(obj)
@pytest.hookimpl(tryfirst=True)
def pytest_pyfunc_call(pyfuncitem: Any) -> bool | None:
def run_with_hypothesis(**kwargs: Any) -> None:
with get_runner(backend_name, backend_options) as runner:
runner.run_test(original_func, kwargs)
backend = pyfuncitem.funcargs.get("anyio_backend")
if backend:
backend_name, backend_options = extract_backend_and_options(backend)
if hasattr(pyfuncitem.obj, "hypothesis"):
# Wrap the inner test function unless it's already wrapped
original_func = pyfuncitem.obj.hypothesis.inner_test
if original_func.__qualname__ != run_with_hypothesis.__qualname__:
if iscoroutinefunction(original_func):
pyfuncitem.obj.hypothesis.inner_test = run_with_hypothesis
return None
if iscoroutinefunction(pyfuncitem.obj):
funcargs = pyfuncitem.funcargs
testargs = {arg: funcargs[arg] for arg in pyfuncitem._fixtureinfo.argnames}
with get_runner(backend_name, backend_options) as runner:
try:
runner.run_test(pyfuncitem.obj, testargs)
except ExceptionGroup as excgrp:
for exc in iterate_exceptions(excgrp):
if isinstance(exc, (Exit, KeyboardInterrupt, SystemExit)):
raise exc from excgrp
raise
return True
return None
@pytest.fixture(scope="module", params=get_all_backends())
def anyio_backend(request: Any) -> Any:
return request.param
@pytest.fixture
def anyio_backend_name(anyio_backend: Any) -> str:
if isinstance(anyio_backend, str):
return anyio_backend
else:
return anyio_backend[0]
@pytest.fixture
def anyio_backend_options(anyio_backend: Any) -> dict[str, Any]:
if isinstance(anyio_backend, str):
return {}
else:
return anyio_backend[1]

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from __future__ import annotations
from collections.abc import Callable, Mapping
from dataclasses import dataclass, field
from typing import Any
from .. import ClosedResourceError, DelimiterNotFound, EndOfStream, IncompleteRead
from ..abc import AnyByteReceiveStream, ByteReceiveStream
@dataclass(eq=False)
class BufferedByteReceiveStream(ByteReceiveStream):
"""
Wraps any bytes-based receive stream and uses a buffer to provide sophisticated
receiving capabilities in the form of a byte stream.
"""
receive_stream: AnyByteReceiveStream
_buffer: bytearray = field(init=False, default_factory=bytearray)
_closed: bool = field(init=False, default=False)
async def aclose(self) -> None:
await self.receive_stream.aclose()
self._closed = True
@property
def buffer(self) -> bytes:
"""The bytes currently in the buffer."""
return bytes(self._buffer)
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return self.receive_stream.extra_attributes
async def receive(self, max_bytes: int = 65536) -> bytes:
if self._closed:
raise ClosedResourceError
if self._buffer:
chunk = bytes(self._buffer[:max_bytes])
del self._buffer[:max_bytes]
return chunk
elif isinstance(self.receive_stream, ByteReceiveStream):
return await self.receive_stream.receive(max_bytes)
else:
# With a bytes-oriented object stream, we need to handle any surplus bytes
# we get from the receive() call
chunk = await self.receive_stream.receive()
if len(chunk) > max_bytes:
# Save the surplus bytes in the buffer
self._buffer.extend(chunk[max_bytes:])
return chunk[:max_bytes]
else:
return chunk
async def receive_exactly(self, nbytes: int) -> bytes:
"""
Read exactly the given amount of bytes from the stream.
:param nbytes: the number of bytes to read
:return: the bytes read
:raises ~anyio.IncompleteRead: if the stream was closed before the requested
amount of bytes could be read from the stream
"""
while True:
remaining = nbytes - len(self._buffer)
if remaining <= 0:
retval = self._buffer[:nbytes]
del self._buffer[:nbytes]
return bytes(retval)
try:
if isinstance(self.receive_stream, ByteReceiveStream):
chunk = await self.receive_stream.receive(remaining)
else:
chunk = await self.receive_stream.receive()
except EndOfStream as exc:
raise IncompleteRead from exc
self._buffer.extend(chunk)
async def receive_until(self, delimiter: bytes, max_bytes: int) -> bytes:
"""
Read from the stream until the delimiter is found or max_bytes have been read.
:param delimiter: the marker to look for in the stream
:param max_bytes: maximum number of bytes that will be read before raising
:exc:`~anyio.DelimiterNotFound`
:return: the bytes read (not including the delimiter)
:raises ~anyio.IncompleteRead: if the stream was closed before the delimiter
was found
:raises ~anyio.DelimiterNotFound: if the delimiter is not found within the
bytes read up to the maximum allowed
"""
delimiter_size = len(delimiter)
offset = 0
while True:
# Check if the delimiter can be found in the current buffer
index = self._buffer.find(delimiter, offset)
if index >= 0:
found = self._buffer[:index]
del self._buffer[: index + len(delimiter) :]
return bytes(found)
# Check if the buffer is already at or over the limit
if len(self._buffer) >= max_bytes:
raise DelimiterNotFound(max_bytes)
# Read more data into the buffer from the socket
try:
data = await self.receive_stream.receive()
except EndOfStream as exc:
raise IncompleteRead from exc
# Move the offset forward and add the new data to the buffer
offset = max(len(self._buffer) - delimiter_size + 1, 0)
self._buffer.extend(data)

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from __future__ import annotations
from collections.abc import Callable, Mapping
from io import SEEK_SET, UnsupportedOperation
from os import PathLike
from pathlib import Path
from typing import Any, BinaryIO, cast
from .. import (
BrokenResourceError,
ClosedResourceError,
EndOfStream,
TypedAttributeSet,
to_thread,
typed_attribute,
)
from ..abc import ByteReceiveStream, ByteSendStream
class FileStreamAttribute(TypedAttributeSet):
#: the open file descriptor
file: BinaryIO = typed_attribute()
#: the path of the file on the file system, if available (file must be a real file)
path: Path = typed_attribute()
#: the file number, if available (file must be a real file or a TTY)
fileno: int = typed_attribute()
class _BaseFileStream:
def __init__(self, file: BinaryIO):
self._file = file
async def aclose(self) -> None:
await to_thread.run_sync(self._file.close)
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
attributes: dict[Any, Callable[[], Any]] = {
FileStreamAttribute.file: lambda: self._file,
}
if hasattr(self._file, "name"):
attributes[FileStreamAttribute.path] = lambda: Path(self._file.name)
try:
self._file.fileno()
except UnsupportedOperation:
pass
else:
attributes[FileStreamAttribute.fileno] = lambda: self._file.fileno()
return attributes
class FileReadStream(_BaseFileStream, ByteReceiveStream):
"""
A byte stream that reads from a file in the file system.
:param file: a file that has been opened for reading in binary mode
.. versionadded:: 3.0
"""
@classmethod
async def from_path(cls, path: str | PathLike[str]) -> FileReadStream:
"""
Create a file read stream by opening the given file.
:param path: path of the file to read from
"""
file = await to_thread.run_sync(Path(path).open, "rb")
return cls(cast(BinaryIO, file))
async def receive(self, max_bytes: int = 65536) -> bytes:
try:
data = await to_thread.run_sync(self._file.read, max_bytes)
except ValueError:
raise ClosedResourceError from None
except OSError as exc:
raise BrokenResourceError from exc
if data:
return data
else:
raise EndOfStream
async def seek(self, position: int, whence: int = SEEK_SET) -> int:
"""
Seek the file to the given position.
.. seealso:: :meth:`io.IOBase.seek`
.. note:: Not all file descriptors are seekable.
:param position: position to seek the file to
:param whence: controls how ``position`` is interpreted
:return: the new absolute position
:raises OSError: if the file is not seekable
"""
return await to_thread.run_sync(self._file.seek, position, whence)
async def tell(self) -> int:
"""
Return the current stream position.
.. note:: Not all file descriptors are seekable.
:return: the current absolute position
:raises OSError: if the file is not seekable
"""
return await to_thread.run_sync(self._file.tell)
class FileWriteStream(_BaseFileStream, ByteSendStream):
"""
A byte stream that writes to a file in the file system.
:param file: a file that has been opened for writing in binary mode
.. versionadded:: 3.0
"""
@classmethod
async def from_path(
cls, path: str | PathLike[str], append: bool = False
) -> FileWriteStream:
"""
Create a file write stream by opening the given file for writing.
:param path: path of the file to write to
:param append: if ``True``, open the file for appending; if ``False``, any
existing file at the given path will be truncated
"""
mode = "ab" if append else "wb"
file = await to_thread.run_sync(Path(path).open, mode)
return cls(cast(BinaryIO, file))
async def send(self, item: bytes) -> None:
try:
await to_thread.run_sync(self._file.write, item)
except ValueError:
raise ClosedResourceError from None
except OSError as exc:
raise BrokenResourceError from exc

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from __future__ import annotations
import warnings
from collections import OrderedDict, deque
from dataclasses import dataclass, field
from types import TracebackType
from typing import Generic, NamedTuple, TypeVar
from .. import (
BrokenResourceError,
ClosedResourceError,
EndOfStream,
WouldBlock,
)
from .._core._testing import TaskInfo, get_current_task
from ..abc import Event, ObjectReceiveStream, ObjectSendStream
from ..lowlevel import checkpoint
T_Item = TypeVar("T_Item")
T_co = TypeVar("T_co", covariant=True)
T_contra = TypeVar("T_contra", contravariant=True)
class MemoryObjectStreamStatistics(NamedTuple):
current_buffer_used: int #: number of items stored in the buffer
#: maximum number of items that can be stored on this stream (or :data:`math.inf`)
max_buffer_size: float
open_send_streams: int #: number of unclosed clones of the send stream
open_receive_streams: int #: number of unclosed clones of the receive stream
#: number of tasks blocked on :meth:`MemoryObjectSendStream.send`
tasks_waiting_send: int
#: number of tasks blocked on :meth:`MemoryObjectReceiveStream.receive`
tasks_waiting_receive: int
@dataclass(eq=False)
class MemoryObjectItemReceiver(Generic[T_Item]):
task_info: TaskInfo = field(init=False, default_factory=get_current_task)
item: T_Item = field(init=False)
def __repr__(self) -> str:
# When item is not defined, we get following error with default __repr__:
# AttributeError: 'MemoryObjectItemReceiver' object has no attribute 'item'
item = getattr(self, "item", None)
return f"{self.__class__.__name__}(task_info={self.task_info}, item={item!r})"
@dataclass(eq=False)
class MemoryObjectStreamState(Generic[T_Item]):
max_buffer_size: float = field()
buffer: deque[T_Item] = field(init=False, default_factory=deque)
open_send_channels: int = field(init=False, default=0)
open_receive_channels: int = field(init=False, default=0)
waiting_receivers: OrderedDict[Event, MemoryObjectItemReceiver[T_Item]] = field(
init=False, default_factory=OrderedDict
)
waiting_senders: OrderedDict[Event, T_Item] = field(
init=False, default_factory=OrderedDict
)
def statistics(self) -> MemoryObjectStreamStatistics:
return MemoryObjectStreamStatistics(
len(self.buffer),
self.max_buffer_size,
self.open_send_channels,
self.open_receive_channels,
len(self.waiting_senders),
len(self.waiting_receivers),
)
@dataclass(eq=False)
class MemoryObjectReceiveStream(Generic[T_co], ObjectReceiveStream[T_co]):
_state: MemoryObjectStreamState[T_co]
_closed: bool = field(init=False, default=False)
def __post_init__(self) -> None:
self._state.open_receive_channels += 1
def receive_nowait(self) -> T_co:
"""
Receive the next item if it can be done without waiting.
:return: the received item
:raises ~anyio.ClosedResourceError: if this send stream has been closed
:raises ~anyio.EndOfStream: if the buffer is empty and this stream has been
closed from the sending end
:raises ~anyio.WouldBlock: if there are no items in the buffer and no tasks
waiting to send
"""
if self._closed:
raise ClosedResourceError
if self._state.waiting_senders:
# Get the item from the next sender
send_event, item = self._state.waiting_senders.popitem(last=False)
self._state.buffer.append(item)
send_event.set()
if self._state.buffer:
return self._state.buffer.popleft()
elif not self._state.open_send_channels:
raise EndOfStream
raise WouldBlock
async def receive(self) -> T_co:
await checkpoint()
try:
return self.receive_nowait()
except WouldBlock:
# Add ourselves in the queue
receive_event = Event()
receiver = MemoryObjectItemReceiver[T_co]()
self._state.waiting_receivers[receive_event] = receiver
try:
await receive_event.wait()
finally:
self._state.waiting_receivers.pop(receive_event, None)
try:
return receiver.item
except AttributeError:
raise EndOfStream
def clone(self) -> MemoryObjectReceiveStream[T_co]:
"""
Create a clone of this receive stream.
Each clone can be closed separately. Only when all clones have been closed will
the receiving end of the memory stream be considered closed by the sending ends.
:return: the cloned stream
"""
if self._closed:
raise ClosedResourceError
return MemoryObjectReceiveStream(_state=self._state)
def close(self) -> None:
"""
Close the stream.
This works the exact same way as :meth:`aclose`, but is provided as a special
case for the benefit of synchronous callbacks.
"""
if not self._closed:
self._closed = True
self._state.open_receive_channels -= 1
if self._state.open_receive_channels == 0:
send_events = list(self._state.waiting_senders.keys())
for event in send_events:
event.set()
async def aclose(self) -> None:
self.close()
def statistics(self) -> MemoryObjectStreamStatistics:
"""
Return statistics about the current state of this stream.
.. versionadded:: 3.0
"""
return self._state.statistics()
def __enter__(self) -> MemoryObjectReceiveStream[T_co]:
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.close()
def __del__(self) -> None:
if not self._closed:
warnings.warn(
f"Unclosed <{self.__class__.__name__} at {id(self):x}>",
ResourceWarning,
source=self,
)
@dataclass(eq=False)
class MemoryObjectSendStream(Generic[T_contra], ObjectSendStream[T_contra]):
_state: MemoryObjectStreamState[T_contra]
_closed: bool = field(init=False, default=False)
def __post_init__(self) -> None:
self._state.open_send_channels += 1
def send_nowait(self, item: T_contra) -> None:
"""
Send an item immediately if it can be done without waiting.
:param item: the item to send
:raises ~anyio.ClosedResourceError: if this send stream has been closed
:raises ~anyio.BrokenResourceError: if the stream has been closed from the
receiving end
:raises ~anyio.WouldBlock: if the buffer is full and there are no tasks waiting
to receive
"""
if self._closed:
raise ClosedResourceError
if not self._state.open_receive_channels:
raise BrokenResourceError
while self._state.waiting_receivers:
receive_event, receiver = self._state.waiting_receivers.popitem(last=False)
if not receiver.task_info.has_pending_cancellation():
receiver.item = item
receive_event.set()
return
if len(self._state.buffer) < self._state.max_buffer_size:
self._state.buffer.append(item)
else:
raise WouldBlock
async def send(self, item: T_contra) -> None:
"""
Send an item to the stream.
If the buffer is full, this method blocks until there is again room in the
buffer or the item can be sent directly to a receiver.
:param item: the item to send
:raises ~anyio.ClosedResourceError: if this send stream has been closed
:raises ~anyio.BrokenResourceError: if the stream has been closed from the
receiving end
"""
await checkpoint()
try:
self.send_nowait(item)
except WouldBlock:
# Wait until there's someone on the receiving end
send_event = Event()
self._state.waiting_senders[send_event] = item
try:
await send_event.wait()
except BaseException:
self._state.waiting_senders.pop(send_event, None)
raise
if send_event in self._state.waiting_senders:
del self._state.waiting_senders[send_event]
raise BrokenResourceError from None
def clone(self) -> MemoryObjectSendStream[T_contra]:
"""
Create a clone of this send stream.
Each clone can be closed separately. Only when all clones have been closed will
the sending end of the memory stream be considered closed by the receiving ends.
:return: the cloned stream
"""
if self._closed:
raise ClosedResourceError
return MemoryObjectSendStream(_state=self._state)
def close(self) -> None:
"""
Close the stream.
This works the exact same way as :meth:`aclose`, but is provided as a special
case for the benefit of synchronous callbacks.
"""
if not self._closed:
self._closed = True
self._state.open_send_channels -= 1
if self._state.open_send_channels == 0:
receive_events = list(self._state.waiting_receivers.keys())
self._state.waiting_receivers.clear()
for event in receive_events:
event.set()
async def aclose(self) -> None:
self.close()
def statistics(self) -> MemoryObjectStreamStatistics:
"""
Return statistics about the current state of this stream.
.. versionadded:: 3.0
"""
return self._state.statistics()
def __enter__(self) -> MemoryObjectSendStream[T_contra]:
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.close()
def __del__(self) -> None:
if not self._closed:
warnings.warn(
f"Unclosed <{self.__class__.__name__} at {id(self):x}>",
ResourceWarning,
source=self,
)

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from __future__ import annotations
from collections.abc import Callable, Mapping, Sequence
from dataclasses import dataclass
from typing import Any, Generic, TypeVar
from ..abc import (
ByteReceiveStream,
ByteSendStream,
ByteStream,
Listener,
ObjectReceiveStream,
ObjectSendStream,
ObjectStream,
TaskGroup,
)
T_Item = TypeVar("T_Item")
T_Stream = TypeVar("T_Stream")
@dataclass(eq=False)
class StapledByteStream(ByteStream):
"""
Combines two byte streams into a single, bidirectional byte stream.
Extra attributes will be provided from both streams, with the receive stream
providing the values in case of a conflict.
:param ByteSendStream send_stream: the sending byte stream
:param ByteReceiveStream receive_stream: the receiving byte stream
"""
send_stream: ByteSendStream
receive_stream: ByteReceiveStream
async def receive(self, max_bytes: int = 65536) -> bytes:
return await self.receive_stream.receive(max_bytes)
async def send(self, item: bytes) -> None:
await self.send_stream.send(item)
async def send_eof(self) -> None:
await self.send_stream.aclose()
async def aclose(self) -> None:
await self.send_stream.aclose()
await self.receive_stream.aclose()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return {
**self.send_stream.extra_attributes,
**self.receive_stream.extra_attributes,
}
@dataclass(eq=False)
class StapledObjectStream(Generic[T_Item], ObjectStream[T_Item]):
"""
Combines two object streams into a single, bidirectional object stream.
Extra attributes will be provided from both streams, with the receive stream
providing the values in case of a conflict.
:param ObjectSendStream send_stream: the sending object stream
:param ObjectReceiveStream receive_stream: the receiving object stream
"""
send_stream: ObjectSendStream[T_Item]
receive_stream: ObjectReceiveStream[T_Item]
async def receive(self) -> T_Item:
return await self.receive_stream.receive()
async def send(self, item: T_Item) -> None:
await self.send_stream.send(item)
async def send_eof(self) -> None:
await self.send_stream.aclose()
async def aclose(self) -> None:
await self.send_stream.aclose()
await self.receive_stream.aclose()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return {
**self.send_stream.extra_attributes,
**self.receive_stream.extra_attributes,
}
@dataclass(eq=False)
class MultiListener(Generic[T_Stream], Listener[T_Stream]):
"""
Combines multiple listeners into one, serving connections from all of them at once.
Any MultiListeners in the given collection of listeners will have their listeners
moved into this one.
Extra attributes are provided from each listener, with each successive listener
overriding any conflicting attributes from the previous one.
:param listeners: listeners to serve
:type listeners: Sequence[Listener[T_Stream]]
"""
listeners: Sequence[Listener[T_Stream]]
def __post_init__(self) -> None:
listeners: list[Listener[T_Stream]] = []
for listener in self.listeners:
if isinstance(listener, MultiListener):
listeners.extend(listener.listeners)
del listener.listeners[:] # type: ignore[attr-defined]
else:
listeners.append(listener)
self.listeners = listeners
async def serve(
self, handler: Callable[[T_Stream], Any], task_group: TaskGroup | None = None
) -> None:
from .. import create_task_group
async with create_task_group() as tg:
for listener in self.listeners:
tg.start_soon(listener.serve, handler, task_group)
async def aclose(self) -> None:
for listener in self.listeners:
await listener.aclose()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
attributes: dict = {}
for listener in self.listeners:
attributes.update(listener.extra_attributes)
return attributes

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from __future__ import annotations
import codecs
from collections.abc import Callable, Mapping
from dataclasses import InitVar, dataclass, field
from typing import Any
from ..abc import (
AnyByteReceiveStream,
AnyByteSendStream,
AnyByteStream,
ObjectReceiveStream,
ObjectSendStream,
ObjectStream,
)
@dataclass(eq=False)
class TextReceiveStream(ObjectReceiveStream[str]):
"""
Stream wrapper that decodes bytes to strings using the given encoding.
Decoding is done using :class:`~codecs.IncrementalDecoder` which returns any
completely received unicode characters as soon as they come in.
:param transport_stream: any bytes-based receive stream
:param encoding: character encoding to use for decoding bytes to strings (defaults
to ``utf-8``)
:param errors: handling scheme for decoding errors (defaults to ``strict``; see the
`codecs module documentation`_ for a comprehensive list of options)
.. _codecs module documentation:
https://docs.python.org/3/library/codecs.html#codec-objects
"""
transport_stream: AnyByteReceiveStream
encoding: InitVar[str] = "utf-8"
errors: InitVar[str] = "strict"
_decoder: codecs.IncrementalDecoder = field(init=False)
def __post_init__(self, encoding: str, errors: str) -> None:
decoder_class = codecs.getincrementaldecoder(encoding)
self._decoder = decoder_class(errors=errors)
async def receive(self) -> str:
while True:
chunk = await self.transport_stream.receive()
decoded = self._decoder.decode(chunk)
if decoded:
return decoded
async def aclose(self) -> None:
await self.transport_stream.aclose()
self._decoder.reset()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return self.transport_stream.extra_attributes
@dataclass(eq=False)
class TextSendStream(ObjectSendStream[str]):
"""
Sends strings to the wrapped stream as bytes using the given encoding.
:param AnyByteSendStream transport_stream: any bytes-based send stream
:param str encoding: character encoding to use for encoding strings to bytes
(defaults to ``utf-8``)
:param str errors: handling scheme for encoding errors (defaults to ``strict``; see
the `codecs module documentation`_ for a comprehensive list of options)
.. _codecs module documentation:
https://docs.python.org/3/library/codecs.html#codec-objects
"""
transport_stream: AnyByteSendStream
encoding: InitVar[str] = "utf-8"
errors: str = "strict"
_encoder: Callable[..., tuple[bytes, int]] = field(init=False)
def __post_init__(self, encoding: str) -> None:
self._encoder = codecs.getencoder(encoding)
async def send(self, item: str) -> None:
encoded = self._encoder(item, self.errors)[0]
await self.transport_stream.send(encoded)
async def aclose(self) -> None:
await self.transport_stream.aclose()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return self.transport_stream.extra_attributes
@dataclass(eq=False)
class TextStream(ObjectStream[str]):
"""
A bidirectional stream that decodes bytes to strings on receive and encodes strings
to bytes on send.
Extra attributes will be provided from both streams, with the receive stream
providing the values in case of a conflict.
:param AnyByteStream transport_stream: any bytes-based stream
:param str encoding: character encoding to use for encoding/decoding strings to/from
bytes (defaults to ``utf-8``)
:param str errors: handling scheme for encoding errors (defaults to ``strict``; see
the `codecs module documentation`_ for a comprehensive list of options)
.. _codecs module documentation:
https://docs.python.org/3/library/codecs.html#codec-objects
"""
transport_stream: AnyByteStream
encoding: InitVar[str] = "utf-8"
errors: InitVar[str] = "strict"
_receive_stream: TextReceiveStream = field(init=False)
_send_stream: TextSendStream = field(init=False)
def __post_init__(self, encoding: str, errors: str) -> None:
self._receive_stream = TextReceiveStream(
self.transport_stream, encoding=encoding, errors=errors
)
self._send_stream = TextSendStream(
self.transport_stream, encoding=encoding, errors=errors
)
async def receive(self) -> str:
return await self._receive_stream.receive()
async def send(self, item: str) -> None:
await self._send_stream.send(item)
async def send_eof(self) -> None:
await self.transport_stream.send_eof()
async def aclose(self) -> None:
await self._send_stream.aclose()
await self._receive_stream.aclose()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return {
**self._send_stream.extra_attributes,
**self._receive_stream.extra_attributes,
}

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from __future__ import annotations
import logging
import re
import ssl
import sys
from collections.abc import Callable, Mapping
from dataclasses import dataclass
from functools import wraps
from typing import Any, TypeVar
from .. import (
BrokenResourceError,
EndOfStream,
aclose_forcefully,
get_cancelled_exc_class,
)
from .._core._typedattr import TypedAttributeSet, typed_attribute
from ..abc import AnyByteStream, ByteStream, Listener, TaskGroup
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
_PCTRTT = tuple[tuple[str, str], ...]
_PCTRTTT = tuple[_PCTRTT, ...]
class TLSAttribute(TypedAttributeSet):
"""Contains Transport Layer Security related attributes."""
#: the selected ALPN protocol
alpn_protocol: str | None = typed_attribute()
#: the channel binding for type ``tls-unique``
channel_binding_tls_unique: bytes = typed_attribute()
#: the selected cipher
cipher: tuple[str, str, int] = typed_attribute()
#: the peer certificate in dictionary form (see :meth:`ssl.SSLSocket.getpeercert`
# for more information)
peer_certificate: None | (dict[str, str | _PCTRTTT | _PCTRTT]) = typed_attribute()
#: the peer certificate in binary form
peer_certificate_binary: bytes | None = typed_attribute()
#: ``True`` if this is the server side of the connection
server_side: bool = typed_attribute()
#: ciphers shared by the client during the TLS handshake (``None`` if this is the
#: client side)
shared_ciphers: list[tuple[str, str, int]] | None = typed_attribute()
#: the :class:`~ssl.SSLObject` used for encryption
ssl_object: ssl.SSLObject = typed_attribute()
#: ``True`` if this stream does (and expects) a closing TLS handshake when the
#: stream is being closed
standard_compatible: bool = typed_attribute()
#: the TLS protocol version (e.g. ``TLSv1.2``)
tls_version: str = typed_attribute()
@dataclass(eq=False)
class TLSStream(ByteStream):
"""
A stream wrapper that encrypts all sent data and decrypts received data.
This class has no public initializer; use :meth:`wrap` instead.
All extra attributes from :class:`~TLSAttribute` are supported.
:var AnyByteStream transport_stream: the wrapped stream
"""
transport_stream: AnyByteStream
standard_compatible: bool
_ssl_object: ssl.SSLObject
_read_bio: ssl.MemoryBIO
_write_bio: ssl.MemoryBIO
@classmethod
async def wrap(
cls,
transport_stream: AnyByteStream,
*,
server_side: bool | None = None,
hostname: str | None = None,
ssl_context: ssl.SSLContext | None = None,
standard_compatible: bool = True,
) -> TLSStream:
"""
Wrap an existing stream with Transport Layer Security.
This performs a TLS handshake with the peer.
:param transport_stream: a bytes-transporting stream to wrap
:param server_side: ``True`` if this is the server side of the connection,
``False`` if this is the client side (if omitted, will be set to ``False``
if ``hostname`` has been provided, ``False`` otherwise). Used only to create
a default context when an explicit context has not been provided.
:param hostname: host name of the peer (if host name checking is desired)
:param ssl_context: the SSLContext object to use (if not provided, a secure
default will be created)
:param standard_compatible: if ``False``, skip the closing handshake when
closing the connection, and don't raise an exception if the peer does the
same
:raises ~ssl.SSLError: if the TLS handshake fails
"""
if server_side is None:
server_side = not hostname
if not ssl_context:
purpose = (
ssl.Purpose.CLIENT_AUTH if server_side else ssl.Purpose.SERVER_AUTH
)
ssl_context = ssl.create_default_context(purpose)
# Re-enable detection of unexpected EOFs if it was disabled by Python
if hasattr(ssl, "OP_IGNORE_UNEXPECTED_EOF"):
ssl_context.options &= ~ssl.OP_IGNORE_UNEXPECTED_EOF
bio_in = ssl.MemoryBIO()
bio_out = ssl.MemoryBIO()
ssl_object = ssl_context.wrap_bio(
bio_in, bio_out, server_side=server_side, server_hostname=hostname
)
wrapper = cls(
transport_stream=transport_stream,
standard_compatible=standard_compatible,
_ssl_object=ssl_object,
_read_bio=bio_in,
_write_bio=bio_out,
)
await wrapper._call_sslobject_method(ssl_object.do_handshake)
return wrapper
async def _call_sslobject_method(
self, func: Callable[[Unpack[PosArgsT]], T_Retval], *args: Unpack[PosArgsT]
) -> T_Retval:
while True:
try:
result = func(*args)
except ssl.SSLWantReadError:
try:
# Flush any pending writes first
if self._write_bio.pending:
await self.transport_stream.send(self._write_bio.read())
data = await self.transport_stream.receive()
except EndOfStream:
self._read_bio.write_eof()
except OSError as exc:
self._read_bio.write_eof()
self._write_bio.write_eof()
raise BrokenResourceError from exc
else:
self._read_bio.write(data)
except ssl.SSLWantWriteError:
await self.transport_stream.send(self._write_bio.read())
except ssl.SSLSyscallError as exc:
self._read_bio.write_eof()
self._write_bio.write_eof()
raise BrokenResourceError from exc
except ssl.SSLError as exc:
self._read_bio.write_eof()
self._write_bio.write_eof()
if isinstance(exc, ssl.SSLEOFError) or (
exc.strerror and "UNEXPECTED_EOF_WHILE_READING" in exc.strerror
):
if self.standard_compatible:
raise BrokenResourceError from exc
else:
raise EndOfStream from None
raise
else:
# Flush any pending writes first
if self._write_bio.pending:
await self.transport_stream.send(self._write_bio.read())
return result
async def unwrap(self) -> tuple[AnyByteStream, bytes]:
"""
Does the TLS closing handshake.
:return: a tuple of (wrapped byte stream, bytes left in the read buffer)
"""
await self._call_sslobject_method(self._ssl_object.unwrap)
self._read_bio.write_eof()
self._write_bio.write_eof()
return self.transport_stream, self._read_bio.read()
async def aclose(self) -> None:
if self.standard_compatible:
try:
await self.unwrap()
except BaseException:
await aclose_forcefully(self.transport_stream)
raise
await self.transport_stream.aclose()
async def receive(self, max_bytes: int = 65536) -> bytes:
data = await self._call_sslobject_method(self._ssl_object.read, max_bytes)
if not data:
raise EndOfStream
return data
async def send(self, item: bytes) -> None:
await self._call_sslobject_method(self._ssl_object.write, item)
async def send_eof(self) -> None:
tls_version = self.extra(TLSAttribute.tls_version)
match = re.match(r"TLSv(\d+)(?:\.(\d+))?", tls_version)
if match:
major, minor = int(match.group(1)), int(match.group(2) or 0)
if (major, minor) < (1, 3):
raise NotImplementedError(
f"send_eof() requires at least TLSv1.3; current "
f"session uses {tls_version}"
)
raise NotImplementedError(
"send_eof() has not yet been implemented for TLS streams"
)
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return {
**self.transport_stream.extra_attributes,
TLSAttribute.alpn_protocol: self._ssl_object.selected_alpn_protocol,
TLSAttribute.channel_binding_tls_unique: (
self._ssl_object.get_channel_binding
),
TLSAttribute.cipher: self._ssl_object.cipher,
TLSAttribute.peer_certificate: lambda: self._ssl_object.getpeercert(False),
TLSAttribute.peer_certificate_binary: lambda: self._ssl_object.getpeercert(
True
),
TLSAttribute.server_side: lambda: self._ssl_object.server_side,
TLSAttribute.shared_ciphers: lambda: self._ssl_object.shared_ciphers()
if self._ssl_object.server_side
else None,
TLSAttribute.standard_compatible: lambda: self.standard_compatible,
TLSAttribute.ssl_object: lambda: self._ssl_object,
TLSAttribute.tls_version: self._ssl_object.version,
}
@dataclass(eq=False)
class TLSListener(Listener[TLSStream]):
"""
A convenience listener that wraps another listener and auto-negotiates a TLS session
on every accepted connection.
If the TLS handshake times out or raises an exception,
:meth:`handle_handshake_error` is called to do whatever post-mortem processing is
deemed necessary.
Supports only the :attr:`~TLSAttribute.standard_compatible` extra attribute.
:param Listener listener: the listener to wrap
:param ssl_context: the SSL context object
:param standard_compatible: a flag passed through to :meth:`TLSStream.wrap`
:param handshake_timeout: time limit for the TLS handshake
(passed to :func:`~anyio.fail_after`)
"""
listener: Listener[Any]
ssl_context: ssl.SSLContext
standard_compatible: bool = True
handshake_timeout: float = 30
@staticmethod
async def handle_handshake_error(exc: BaseException, stream: AnyByteStream) -> None:
"""
Handle an exception raised during the TLS handshake.
This method does 3 things:
#. Forcefully closes the original stream
#. Logs the exception (unless it was a cancellation exception) using the
``anyio.streams.tls`` logger
#. Reraises the exception if it was a base exception or a cancellation exception
:param exc: the exception
:param stream: the original stream
"""
await aclose_forcefully(stream)
# Log all except cancellation exceptions
if not isinstance(exc, get_cancelled_exc_class()):
# CPython (as of 3.11.5) returns incorrect `sys.exc_info()` here when using
# any asyncio implementation, so we explicitly pass the exception to log
# (https://github.com/python/cpython/issues/108668). Trio does not have this
# issue because it works around the CPython bug.
logging.getLogger(__name__).exception(
"Error during TLS handshake", exc_info=exc
)
# Only reraise base exceptions and cancellation exceptions
if not isinstance(exc, Exception) or isinstance(exc, get_cancelled_exc_class()):
raise
async def serve(
self,
handler: Callable[[TLSStream], Any],
task_group: TaskGroup | None = None,
) -> None:
@wraps(handler)
async def handler_wrapper(stream: AnyByteStream) -> None:
from .. import fail_after
try:
with fail_after(self.handshake_timeout):
wrapped_stream = await TLSStream.wrap(
stream,
ssl_context=self.ssl_context,
standard_compatible=self.standard_compatible,
)
except BaseException as exc:
await self.handle_handshake_error(exc, stream)
else:
await handler(wrapped_stream)
await self.listener.serve(handler_wrapper, task_group)
async def aclose(self) -> None:
await self.listener.aclose()
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
return {
TLSAttribute.standard_compatible: lambda: self.standard_compatible,
}

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from __future__ import annotations
import os
import pickle
import subprocess
import sys
from collections import deque
from collections.abc import Callable
from importlib.util import module_from_spec, spec_from_file_location
from typing import TypeVar, cast
from ._core._eventloop import current_time, get_async_backend, get_cancelled_exc_class
from ._core._exceptions import BrokenWorkerProcess
from ._core._subprocesses import open_process
from ._core._synchronization import CapacityLimiter
from ._core._tasks import CancelScope, fail_after
from .abc import ByteReceiveStream, ByteSendStream, Process
from .lowlevel import RunVar, checkpoint_if_cancelled
from .streams.buffered import BufferedByteReceiveStream
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
WORKER_MAX_IDLE_TIME = 300 # 5 minutes
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
_process_pool_workers: RunVar[set[Process]] = RunVar("_process_pool_workers")
_process_pool_idle_workers: RunVar[deque[tuple[Process, float]]] = RunVar(
"_process_pool_idle_workers"
)
_default_process_limiter: RunVar[CapacityLimiter] = RunVar("_default_process_limiter")
async def run_sync(
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
cancellable: bool = False,
limiter: CapacityLimiter | None = None,
) -> T_Retval:
"""
Call the given function with the given arguments in a worker process.
If the ``cancellable`` option is enabled and the task waiting for its completion is
cancelled, the worker process running it will be abruptly terminated using SIGKILL
(or ``terminateProcess()`` on Windows).
:param func: a callable
:param args: positional arguments for the callable
:param cancellable: ``True`` to allow cancellation of the operation while it's
running
:param limiter: capacity limiter to use to limit the total amount of processes
running (if omitted, the default limiter is used)
:return: an awaitable that yields the return value of the function.
"""
async def send_raw_command(pickled_cmd: bytes) -> object:
try:
await stdin.send(pickled_cmd)
response = await buffered.receive_until(b"\n", 50)
status, length = response.split(b" ")
if status not in (b"RETURN", b"EXCEPTION"):
raise RuntimeError(
f"Worker process returned unexpected response: {response!r}"
)
pickled_response = await buffered.receive_exactly(int(length))
except BaseException as exc:
workers.discard(process)
try:
process.kill()
with CancelScope(shield=True):
await process.aclose()
except ProcessLookupError:
pass
if isinstance(exc, get_cancelled_exc_class()):
raise
else:
raise BrokenWorkerProcess from exc
retval = pickle.loads(pickled_response)
if status == b"EXCEPTION":
assert isinstance(retval, BaseException)
raise retval
else:
return retval
# First pickle the request before trying to reserve a worker process
await checkpoint_if_cancelled()
request = pickle.dumps(("run", func, args), protocol=pickle.HIGHEST_PROTOCOL)
# If this is the first run in this event loop thread, set up the necessary variables
try:
workers = _process_pool_workers.get()
idle_workers = _process_pool_idle_workers.get()
except LookupError:
workers = set()
idle_workers = deque()
_process_pool_workers.set(workers)
_process_pool_idle_workers.set(idle_workers)
get_async_backend().setup_process_pool_exit_at_shutdown(workers)
async with limiter or current_default_process_limiter():
# Pop processes from the pool (starting from the most recently used) until we
# find one that hasn't exited yet
process: Process
while idle_workers:
process, idle_since = idle_workers.pop()
if process.returncode is None:
stdin = cast(ByteSendStream, process.stdin)
buffered = BufferedByteReceiveStream(
cast(ByteReceiveStream, process.stdout)
)
# Prune any other workers that have been idle for WORKER_MAX_IDLE_TIME
# seconds or longer
now = current_time()
killed_processes: list[Process] = []
while idle_workers:
if now - idle_workers[0][1] < WORKER_MAX_IDLE_TIME:
break
process_to_kill, idle_since = idle_workers.popleft()
process_to_kill.kill()
workers.remove(process_to_kill)
killed_processes.append(process_to_kill)
with CancelScope(shield=True):
for killed_process in killed_processes:
await killed_process.aclose()
break
workers.remove(process)
else:
command = [sys.executable, "-u", "-m", __name__]
process = await open_process(
command, stdin=subprocess.PIPE, stdout=subprocess.PIPE
)
try:
stdin = cast(ByteSendStream, process.stdin)
buffered = BufferedByteReceiveStream(
cast(ByteReceiveStream, process.stdout)
)
with fail_after(20):
message = await buffered.receive(6)
if message != b"READY\n":
raise BrokenWorkerProcess(
f"Worker process returned unexpected response: {message!r}"
)
main_module_path = getattr(sys.modules["__main__"], "__file__", None)
pickled = pickle.dumps(
("init", sys.path, main_module_path),
protocol=pickle.HIGHEST_PROTOCOL,
)
await send_raw_command(pickled)
except (BrokenWorkerProcess, get_cancelled_exc_class()):
raise
except BaseException as exc:
process.kill()
raise BrokenWorkerProcess(
"Error during worker process initialization"
) from exc
workers.add(process)
with CancelScope(shield=not cancellable):
try:
return cast(T_Retval, await send_raw_command(request))
finally:
if process in workers:
idle_workers.append((process, current_time()))
def current_default_process_limiter() -> CapacityLimiter:
"""
Return the capacity limiter that is used by default to limit the number of worker
processes.
:return: a capacity limiter object
"""
try:
return _default_process_limiter.get()
except LookupError:
limiter = CapacityLimiter(os.cpu_count() or 2)
_default_process_limiter.set(limiter)
return limiter
def process_worker() -> None:
# Redirect standard streams to os.devnull so that user code won't interfere with the
# parent-worker communication
stdin = sys.stdin
stdout = sys.stdout
sys.stdin = open(os.devnull)
sys.stdout = open(os.devnull, "w")
stdout.buffer.write(b"READY\n")
while True:
retval = exception = None
try:
command, *args = pickle.load(stdin.buffer)
except EOFError:
return
except BaseException as exc:
exception = exc
else:
if command == "run":
func, args = args
try:
retval = func(*args)
except BaseException as exc:
exception = exc
elif command == "init":
main_module_path: str | None
sys.path, main_module_path = args
del sys.modules["__main__"]
if main_module_path and os.path.isfile(main_module_path):
# Load the parent's main module but as __mp_main__ instead of
# __main__ (like multiprocessing does) to avoid infinite recursion
try:
spec = spec_from_file_location("__mp_main__", main_module_path)
if spec and spec.loader:
main = module_from_spec(spec)
spec.loader.exec_module(main)
sys.modules["__main__"] = main
except BaseException as exc:
exception = exc
try:
if exception is not None:
status = b"EXCEPTION"
pickled = pickle.dumps(exception, pickle.HIGHEST_PROTOCOL)
else:
status = b"RETURN"
pickled = pickle.dumps(retval, pickle.HIGHEST_PROTOCOL)
except BaseException as exc:
exception = exc
status = b"EXCEPTION"
pickled = pickle.dumps(exc, pickle.HIGHEST_PROTOCOL)
stdout.buffer.write(b"%s %d\n" % (status, len(pickled)))
stdout.buffer.write(pickled)
# Respect SIGTERM
if isinstance(exception, SystemExit):
raise exception
if __name__ == "__main__":
process_worker()

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from __future__ import annotations
import sys
from collections.abc import Callable
from typing import TypeVar
from warnings import warn
from ._core._eventloop import get_async_backend
from .abc import CapacityLimiter
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
async def run_sync(
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
abandon_on_cancel: bool = False,
cancellable: bool | None = None,
limiter: CapacityLimiter | None = None,
) -> T_Retval:
"""
Call the given function with the given arguments in a worker thread.
If the ``cancellable`` option is enabled and the task waiting for its completion is
cancelled, the thread will still run its course but its return value (or any raised
exception) will be ignored.
:param func: a callable
:param args: positional arguments for the callable
:param abandon_on_cancel: ``True`` to abandon the thread (leaving it to run
unchecked on own) if the host task is cancelled, ``False`` to ignore
cancellations in the host task until the operation has completed in the worker
thread
:param cancellable: deprecated alias of ``abandon_on_cancel``; will override
``abandon_on_cancel`` if both parameters are passed
:param limiter: capacity limiter to use to limit the total amount of threads running
(if omitted, the default limiter is used)
:return: an awaitable that yields the return value of the function.
"""
if cancellable is not None:
abandon_on_cancel = cancellable
warn(
"The `cancellable=` keyword argument to `anyio.to_thread.run_sync` is "
"deprecated since AnyIO 4.1.0; use `abandon_on_cancel=` instead",
DeprecationWarning,
stacklevel=2,
)
return await get_async_backend().run_sync_in_worker_thread(
func, args, abandon_on_cancel=abandon_on_cancel, limiter=limiter
)
def current_default_thread_limiter() -> CapacityLimiter:
"""
Return the capacity limiter that is used by default to limit the number of
concurrent threads.
:return: a capacity limiter object
"""
return get_async_backend().current_default_thread_limiter()

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import sys
if sys.version_info >= (3, 8):
import importlib.metadata as importlib_metadata
else:
import importlib_metadata
try:
release = importlib_metadata.version('APScheduler').split('-')[0]
except importlib_metadata.PackageNotFoundError:
release = '3.5.0'
version_info = tuple(int(x) if x.isdigit() else x for x in release.split('.'))
version = __version__ = '.'.join(str(x) for x in version_info[:3])
del sys, importlib_metadata

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__all__ = ('EVENT_SCHEDULER_STARTED', 'EVENT_SCHEDULER_SHUTDOWN', 'EVENT_SCHEDULER_PAUSED',
'EVENT_SCHEDULER_RESUMED', 'EVENT_EXECUTOR_ADDED', 'EVENT_EXECUTOR_REMOVED',
'EVENT_JOBSTORE_ADDED', 'EVENT_JOBSTORE_REMOVED', 'EVENT_ALL_JOBS_REMOVED',
'EVENT_JOB_ADDED', 'EVENT_JOB_REMOVED', 'EVENT_JOB_MODIFIED', 'EVENT_JOB_EXECUTED',
'EVENT_JOB_ERROR', 'EVENT_JOB_MISSED', 'EVENT_JOB_SUBMITTED', 'EVENT_JOB_MAX_INSTANCES',
'SchedulerEvent', 'JobEvent', 'JobExecutionEvent', 'JobSubmissionEvent')
EVENT_SCHEDULER_STARTED = EVENT_SCHEDULER_START = 2 ** 0
EVENT_SCHEDULER_SHUTDOWN = 2 ** 1
EVENT_SCHEDULER_PAUSED = 2 ** 2
EVENT_SCHEDULER_RESUMED = 2 ** 3
EVENT_EXECUTOR_ADDED = 2 ** 4
EVENT_EXECUTOR_REMOVED = 2 ** 5
EVENT_JOBSTORE_ADDED = 2 ** 6
EVENT_JOBSTORE_REMOVED = 2 ** 7
EVENT_ALL_JOBS_REMOVED = 2 ** 8
EVENT_JOB_ADDED = 2 ** 9
EVENT_JOB_REMOVED = 2 ** 10
EVENT_JOB_MODIFIED = 2 ** 11
EVENT_JOB_EXECUTED = 2 ** 12
EVENT_JOB_ERROR = 2 ** 13
EVENT_JOB_MISSED = 2 ** 14
EVENT_JOB_SUBMITTED = 2 ** 15
EVENT_JOB_MAX_INSTANCES = 2 ** 16
EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED |
EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED |
EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED |
EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED |
EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED | EVENT_JOB_MAX_INSTANCES)
class SchedulerEvent(object):
"""
An event that concerns the scheduler itself.
:ivar code: the type code of this event
:ivar alias: alias of the job store or executor that was added or removed (if applicable)
"""
def __init__(self, code, alias=None):
super(SchedulerEvent, self).__init__()
self.code = code
self.alias = alias
def __repr__(self):
return '<%s (code=%d)>' % (self.__class__.__name__, self.code)
class JobEvent(SchedulerEvent):
"""
An event that concerns a job.
:ivar code: the type code of this event
:ivar job_id: identifier of the job in question
:ivar jobstore: alias of the job store containing the job in question
"""
def __init__(self, code, job_id, jobstore):
super(JobEvent, self).__init__(code)
self.code = code
self.job_id = job_id
self.jobstore = jobstore
class JobSubmissionEvent(JobEvent):
"""
An event that concerns the submission of a job to its executor.
:ivar scheduled_run_times: a list of datetimes when the job was intended to run
"""
def __init__(self, code, job_id, jobstore, scheduled_run_times):
super(JobSubmissionEvent, self).__init__(code, job_id, jobstore)
self.scheduled_run_times = scheduled_run_times
class JobExecutionEvent(JobEvent):
"""
An event that concerns the running of a job within its executor.
:ivar scheduled_run_time: the time when the job was scheduled to be run
:ivar retval: the return value of the successfully executed job
:ivar exception: the exception raised by the job
:ivar traceback: a formatted traceback for the exception
"""
def __init__(self, code, job_id, jobstore, scheduled_run_time, retval=None, exception=None,
traceback=None):
super(JobExecutionEvent, self).__init__(code, job_id, jobstore)
self.scheduled_run_time = scheduled_run_time
self.retval = retval
self.exception = exception
self.traceback = traceback

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from __future__ import absolute_import
import sys
from apscheduler.executors.base import BaseExecutor, run_job
from apscheduler.executors.base_py3 import run_coroutine_job
from apscheduler.util import iscoroutinefunction_partial
class AsyncIOExecutor(BaseExecutor):
"""
Runs jobs in the default executor of the event loop.
If the job function is a native coroutine function, it is scheduled to be run directly in the
event loop as soon as possible. All other functions are run in the event loop's default
executor which is usually a thread pool.
Plugin alias: ``asyncio``
"""
def start(self, scheduler, alias):
super(AsyncIOExecutor, self).start(scheduler, alias)
self._eventloop = scheduler._eventloop
self._pending_futures = set()
def shutdown(self, wait=True):
# There is no way to honor wait=True without converting this method into a coroutine method
for f in self._pending_futures:
if not f.done():
f.cancel()
self._pending_futures.clear()
def _do_submit_job(self, job, run_times):
def callback(f):
self._pending_futures.discard(f)
try:
events = f.result()
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)
if iscoroutinefunction_partial(job.func):
coro = run_coroutine_job(job, job._jobstore_alias, run_times, self._logger.name)
f = self._eventloop.create_task(coro)
else:
f = self._eventloop.run_in_executor(None, run_job, job, job._jobstore_alias, run_times,
self._logger.name)
f.add_done_callback(callback)
self._pending_futures.add(f)

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from abc import ABCMeta, abstractmethod
from collections import defaultdict
from datetime import datetime, timedelta
from traceback import format_tb
import logging
import sys
from pytz import utc
import six
from apscheduler.events import (
JobExecutionEvent, EVENT_JOB_MISSED, EVENT_JOB_ERROR, EVENT_JOB_EXECUTED)
class MaxInstancesReachedError(Exception):
def __init__(self, job):
super(MaxInstancesReachedError, self).__init__(
'Job "%s" has already reached its maximum number of instances (%d)' %
(job.id, job.max_instances))
class BaseExecutor(six.with_metaclass(ABCMeta, object)):
"""Abstract base class that defines the interface that every executor must implement."""
_scheduler = None
_lock = None
_logger = logging.getLogger('apscheduler.executors')
def __init__(self):
super(BaseExecutor, self).__init__()
self._instances = defaultdict(lambda: 0)
def start(self, scheduler, alias):
"""
Called by the scheduler when the scheduler is being started or when the executor is being
added to an already running scheduler.
:param apscheduler.schedulers.base.BaseScheduler scheduler: the scheduler that is starting
this executor
:param str|unicode alias: alias of this executor as it was assigned to the scheduler
"""
self._scheduler = scheduler
self._lock = scheduler._create_lock()
self._logger = logging.getLogger('apscheduler.executors.%s' % alias)
def shutdown(self, wait=True):
"""
Shuts down this executor.
:param bool wait: ``True`` to wait until all submitted jobs
have been executed
"""
def submit_job(self, job, run_times):
"""
Submits job for execution.
:param Job job: job to execute
:param list[datetime] run_times: list of datetimes specifying
when the job should have been run
:raises MaxInstancesReachedError: if the maximum number of
allowed instances for this job has been reached
"""
assert self._lock is not None, 'This executor has not been started yet'
with self._lock:
if self._instances[job.id] >= job.max_instances:
raise MaxInstancesReachedError(job)
self._do_submit_job(job, run_times)
self._instances[job.id] += 1
@abstractmethod
def _do_submit_job(self, job, run_times):
"""Performs the actual task of scheduling `run_job` to be called."""
def _run_job_success(self, job_id, events):
"""
Called by the executor with the list of generated events when :func:`run_job` has been
successfully called.
"""
with self._lock:
self._instances[job_id] -= 1
if self._instances[job_id] == 0:
del self._instances[job_id]
for event in events:
self._scheduler._dispatch_event(event)
def _run_job_error(self, job_id, exc, traceback=None):
"""Called by the executor with the exception if there is an error calling `run_job`."""
with self._lock:
self._instances[job_id] -= 1
if self._instances[job_id] == 0:
del self._instances[job_id]
exc_info = (exc.__class__, exc, traceback)
self._logger.error('Error running job %s', job_id, exc_info=exc_info)
def run_job(job, jobstore_alias, run_times, logger_name):
"""
Called by executors to run the job. Returns a list of scheduler events to be dispatched by the
scheduler.
"""
events = []
logger = logging.getLogger(logger_name)
for run_time in run_times:
# See if the job missed its run time window, and handle
# possible misfires accordingly
if job.misfire_grace_time is not None:
difference = datetime.now(utc) - run_time
grace_time = timedelta(seconds=job.misfire_grace_time)
if difference > grace_time:
events.append(JobExecutionEvent(EVENT_JOB_MISSED, job.id, jobstore_alias,
run_time))
logger.warning('Run time of job "%s" was missed by %s', job, difference)
continue
logger.info('Running job "%s" (scheduled at %s)', job, run_time)
try:
retval = job.func(*job.args, **job.kwargs)
except BaseException:
exc, tb = sys.exc_info()[1:]
formatted_tb = ''.join(format_tb(tb))
events.append(JobExecutionEvent(EVENT_JOB_ERROR, job.id, jobstore_alias, run_time,
exception=exc, traceback=formatted_tb))
logger.exception('Job "%s" raised an exception', job)
# This is to prevent cyclic references that would lead to memory leaks
if six.PY2:
sys.exc_clear()
del tb
else:
import traceback
traceback.clear_frames(tb)
del tb
else:
events.append(JobExecutionEvent(EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time,
retval=retval))
logger.info('Job "%s" executed successfully', job)
return events

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import logging
import sys
import traceback
from datetime import datetime, timedelta
from traceback import format_tb
from pytz import utc
from apscheduler.events import (
JobExecutionEvent, EVENT_JOB_MISSED, EVENT_JOB_ERROR, EVENT_JOB_EXECUTED)
async def run_coroutine_job(job, jobstore_alias, run_times, logger_name):
"""Coroutine version of run_job()."""
events = []
logger = logging.getLogger(logger_name)
for run_time in run_times:
# See if the job missed its run time window, and handle possible misfires accordingly
if job.misfire_grace_time is not None:
difference = datetime.now(utc) - run_time
grace_time = timedelta(seconds=job.misfire_grace_time)
if difference > grace_time:
events.append(JobExecutionEvent(EVENT_JOB_MISSED, job.id, jobstore_alias,
run_time))
logger.warning('Run time of job "%s" was missed by %s', job, difference)
continue
logger.info('Running job "%s" (scheduled at %s)', job, run_time)
try:
retval = await job.func(*job.args, **job.kwargs)
except BaseException:
exc, tb = sys.exc_info()[1:]
formatted_tb = ''.join(format_tb(tb))
events.append(JobExecutionEvent(EVENT_JOB_ERROR, job.id, jobstore_alias, run_time,
exception=exc, traceback=formatted_tb))
logger.exception('Job "%s" raised an exception', job)
traceback.clear_frames(tb)
else:
events.append(JobExecutionEvent(EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time,
retval=retval))
logger.info('Job "%s" executed successfully', job)
return events

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import sys
from apscheduler.executors.base import BaseExecutor, run_job
class DebugExecutor(BaseExecutor):
"""
A special executor that executes the target callable directly instead of deferring it to a
thread or process.
Plugin alias: ``debug``
"""
def _do_submit_job(self, job, run_times):
try:
events = run_job(job, job._jobstore_alias, run_times, self._logger.name)
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)

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from __future__ import absolute_import
import sys
from apscheduler.executors.base import BaseExecutor, run_job
try:
import gevent
except ImportError: # pragma: nocover
raise ImportError('GeventExecutor requires gevent installed')
class GeventExecutor(BaseExecutor):
"""
Runs jobs as greenlets.
Plugin alias: ``gevent``
"""
def _do_submit_job(self, job, run_times):
def callback(greenlet):
try:
events = greenlet.get()
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)
gevent.spawn(run_job, job, job._jobstore_alias, run_times, self._logger.name).\
link(callback)

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from abc import abstractmethod
import concurrent.futures
from apscheduler.executors.base import BaseExecutor, run_job
try:
from concurrent.futures.process import BrokenProcessPool
except ImportError:
BrokenProcessPool = None
class BasePoolExecutor(BaseExecutor):
@abstractmethod
def __init__(self, pool):
super(BasePoolExecutor, self).__init__()
self._pool = pool
def _do_submit_job(self, job, run_times):
def callback(f):
exc, tb = (f.exception_info() if hasattr(f, 'exception_info') else
(f.exception(), getattr(f.exception(), '__traceback__', None)))
if exc:
self._run_job_error(job.id, exc, tb)
else:
self._run_job_success(job.id, f.result())
try:
f = self._pool.submit(run_job, job, job._jobstore_alias, run_times, self._logger.name)
except BrokenProcessPool:
self._logger.warning('Process pool is broken; replacing pool with a fresh instance')
self._pool = self._pool.__class__(self._pool._max_workers)
f = self._pool.submit(run_job, job, job._jobstore_alias, run_times, self._logger.name)
f.add_done_callback(callback)
def shutdown(self, wait=True):
self._pool.shutdown(wait)
class ThreadPoolExecutor(BasePoolExecutor):
"""
An executor that runs jobs in a concurrent.futures thread pool.
Plugin alias: ``threadpool``
:param max_workers: the maximum number of spawned threads.
:param pool_kwargs: dict of keyword arguments to pass to the underlying
ThreadPoolExecutor constructor
"""
def __init__(self, max_workers=10, pool_kwargs=None):
pool_kwargs = pool_kwargs or {}
pool = concurrent.futures.ThreadPoolExecutor(int(max_workers), **pool_kwargs)
super(ThreadPoolExecutor, self).__init__(pool)
class ProcessPoolExecutor(BasePoolExecutor):
"""
An executor that runs jobs in a concurrent.futures process pool.
Plugin alias: ``processpool``
:param max_workers: the maximum number of spawned processes.
:param pool_kwargs: dict of keyword arguments to pass to the underlying
ProcessPoolExecutor constructor
"""
def __init__(self, max_workers=10, pool_kwargs=None):
pool_kwargs = pool_kwargs or {}
pool = concurrent.futures.ProcessPoolExecutor(int(max_workers), **pool_kwargs)
super(ProcessPoolExecutor, self).__init__(pool)

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from __future__ import absolute_import
import sys
from concurrent.futures import ThreadPoolExecutor
from tornado.gen import convert_yielded
from apscheduler.executors.base import BaseExecutor, run_job
try:
from apscheduler.executors.base_py3 import run_coroutine_job
from apscheduler.util import iscoroutinefunction_partial
except ImportError:
def iscoroutinefunction_partial(func):
return False
class TornadoExecutor(BaseExecutor):
"""
Runs jobs either in a thread pool or directly on the I/O loop.
If the job function is a native coroutine function, it is scheduled to be run directly in the
I/O loop as soon as possible. All other functions are run in a thread pool.
Plugin alias: ``tornado``
:param int max_workers: maximum number of worker threads in the thread pool
"""
def __init__(self, max_workers=10):
super(TornadoExecutor, self).__init__()
self.executor = ThreadPoolExecutor(max_workers)
def start(self, scheduler, alias):
super(TornadoExecutor, self).start(scheduler, alias)
self._ioloop = scheduler._ioloop
def _do_submit_job(self, job, run_times):
def callback(f):
try:
events = f.result()
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)
if iscoroutinefunction_partial(job.func):
f = run_coroutine_job(job, job._jobstore_alias, run_times, self._logger.name)
else:
f = self.executor.submit(run_job, job, job._jobstore_alias, run_times,
self._logger.name)
f = convert_yielded(f)
f.add_done_callback(callback)

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from __future__ import absolute_import
from apscheduler.executors.base import BaseExecutor, run_job
class TwistedExecutor(BaseExecutor):
"""
Runs jobs in the reactor's thread pool.
Plugin alias: ``twisted``
"""
def start(self, scheduler, alias):
super(TwistedExecutor, self).start(scheduler, alias)
self._reactor = scheduler._reactor
def _do_submit_job(self, job, run_times):
def callback(success, result):
if success:
self._run_job_success(job.id, result)
else:
self._run_job_error(job.id, result.value, result.tb)
self._reactor.getThreadPool().callInThreadWithCallback(
callback, run_job, job, job._jobstore_alias, run_times, self._logger.name)

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from inspect import ismethod, isclass
from uuid import uuid4
import six
from apscheduler.triggers.base import BaseTrigger
from apscheduler.util import (
ref_to_obj, obj_to_ref, datetime_repr, repr_escape, get_callable_name, check_callable_args,
convert_to_datetime)
try:
from collections.abc import Iterable, Mapping
except ImportError:
from collections import Iterable, Mapping
class Job(object):
"""
Contains the options given when scheduling callables and its current schedule and other state.
This class should never be instantiated by the user.
:var str id: the unique identifier of this job
:var str name: the description of this job
:var func: the callable to execute
:var tuple|list args: positional arguments to the callable
:var dict kwargs: keyword arguments to the callable
:var bool coalesce: whether to only run the job once when several run times are due
:var trigger: the trigger object that controls the schedule of this job
:var str executor: the name of the executor that will run this job
:var int misfire_grace_time: the time (in seconds) how much this job's execution is allowed to
be late (``None`` means "allow the job to run no matter how late it is")
:var int max_instances: the maximum number of concurrently executing instances allowed for this
job
:var datetime.datetime next_run_time: the next scheduled run time of this job
.. note::
The ``misfire_grace_time`` has some non-obvious effects on job execution. See the
:ref:`missed-job-executions` section in the documentation for an in-depth explanation.
"""
__slots__ = ('_scheduler', '_jobstore_alias', 'id', 'trigger', 'executor', 'func', 'func_ref',
'args', 'kwargs', 'name', 'misfire_grace_time', 'coalesce', 'max_instances',
'next_run_time', '__weakref__')
def __init__(self, scheduler, id=None, **kwargs):
super(Job, self).__init__()
self._scheduler = scheduler
self._jobstore_alias = None
self._modify(id=id or uuid4().hex, **kwargs)
def modify(self, **changes):
"""
Makes the given changes to this job and saves it in the associated job store.
Accepted keyword arguments are the same as the variables on this class.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.modify_job`
:return Job: this job instance
"""
self._scheduler.modify_job(self.id, self._jobstore_alias, **changes)
return self
def reschedule(self, trigger, **trigger_args):
"""
Shortcut for switching the trigger on this job.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.reschedule_job`
:return Job: this job instance
"""
self._scheduler.reschedule_job(self.id, self._jobstore_alias, trigger, **trigger_args)
return self
def pause(self):
"""
Temporarily suspend the execution of this job.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.pause_job`
:return Job: this job instance
"""
self._scheduler.pause_job(self.id, self._jobstore_alias)
return self
def resume(self):
"""
Resume the schedule of this job if previously paused.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.resume_job`
:return Job: this job instance
"""
self._scheduler.resume_job(self.id, self._jobstore_alias)
return self
def remove(self):
"""
Unschedules this job and removes it from its associated job store.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.remove_job`
"""
self._scheduler.remove_job(self.id, self._jobstore_alias)
@property
def pending(self):
"""
Returns ``True`` if the referenced job is still waiting to be added to its designated job
store.
"""
return self._jobstore_alias is None
#
# Private API
#
def _get_run_times(self, now):
"""
Computes the scheduled run times between ``next_run_time`` and ``now`` (inclusive).
:type now: datetime.datetime
:rtype: list[datetime.datetime]
"""
run_times = []
next_run_time = self.next_run_time
while next_run_time and next_run_time <= now:
run_times.append(next_run_time)
next_run_time = self.trigger.get_next_fire_time(next_run_time, now)
return run_times
def _modify(self, **changes):
"""
Validates the changes to the Job and makes the modifications if and only if all of them
validate.
"""
approved = {}
if 'id' in changes:
value = changes.pop('id')
if not isinstance(value, six.string_types):
raise TypeError("id must be a nonempty string")
if hasattr(self, 'id'):
raise ValueError('The job ID may not be changed')
approved['id'] = value
if 'func' in changes or 'args' in changes or 'kwargs' in changes:
func = changes.pop('func') if 'func' in changes else self.func
args = changes.pop('args') if 'args' in changes else self.args
kwargs = changes.pop('kwargs') if 'kwargs' in changes else self.kwargs
if isinstance(func, six.string_types):
func_ref = func
func = ref_to_obj(func)
elif callable(func):
try:
func_ref = obj_to_ref(func)
except ValueError:
# If this happens, this Job won't be serializable
func_ref = None
else:
raise TypeError('func must be a callable or a textual reference to one')
if not hasattr(self, 'name') and changes.get('name', None) is None:
changes['name'] = get_callable_name(func)
if isinstance(args, six.string_types) or not isinstance(args, Iterable):
raise TypeError('args must be a non-string iterable')
if isinstance(kwargs, six.string_types) or not isinstance(kwargs, Mapping):
raise TypeError('kwargs must be a dict-like object')
check_callable_args(func, args, kwargs)
approved['func'] = func
approved['func_ref'] = func_ref
approved['args'] = args
approved['kwargs'] = kwargs
if 'name' in changes:
value = changes.pop('name')
if not value or not isinstance(value, six.string_types):
raise TypeError("name must be a nonempty string")
approved['name'] = value
if 'misfire_grace_time' in changes:
value = changes.pop('misfire_grace_time')
if value is not None and (not isinstance(value, six.integer_types) or value <= 0):
raise TypeError('misfire_grace_time must be either None or a positive integer')
approved['misfire_grace_time'] = value
if 'coalesce' in changes:
value = bool(changes.pop('coalesce'))
approved['coalesce'] = value
if 'max_instances' in changes:
value = changes.pop('max_instances')
if not isinstance(value, six.integer_types) or value <= 0:
raise TypeError('max_instances must be a positive integer')
approved['max_instances'] = value
if 'trigger' in changes:
trigger = changes.pop('trigger')
if not isinstance(trigger, BaseTrigger):
raise TypeError('Expected a trigger instance, got %s instead' %
trigger.__class__.__name__)
approved['trigger'] = trigger
if 'executor' in changes:
value = changes.pop('executor')
if not isinstance(value, six.string_types):
raise TypeError('executor must be a string')
approved['executor'] = value
if 'next_run_time' in changes:
value = changes.pop('next_run_time')
approved['next_run_time'] = convert_to_datetime(value, self._scheduler.timezone,
'next_run_time')
if changes:
raise AttributeError('The following are not modifiable attributes of Job: %s' %
', '.join(changes))
for key, value in six.iteritems(approved):
setattr(self, key, value)
def __getstate__(self):
# Don't allow this Job to be serialized if the function reference could not be determined
if not self.func_ref:
raise ValueError(
'This Job cannot be serialized since the reference to its callable (%r) could not '
'be determined. Consider giving a textual reference (module:function name) '
'instead.' % (self.func,))
# Instance methods cannot survive serialization as-is, so store the "self" argument
# explicitly
func = self.func
if ismethod(func) and not isclass(func.__self__) and obj_to_ref(func) == self.func_ref:
args = (func.__self__,) + tuple(self.args)
else:
args = self.args
return {
'version': 1,
'id': self.id,
'func': self.func_ref,
'trigger': self.trigger,
'executor': self.executor,
'args': args,
'kwargs': self.kwargs,
'name': self.name,
'misfire_grace_time': self.misfire_grace_time,
'coalesce': self.coalesce,
'max_instances': self.max_instances,
'next_run_time': self.next_run_time
}
def __setstate__(self, state):
if state.get('version', 1) > 1:
raise ValueError('Job has version %s, but only version 1 can be handled' %
state['version'])
self.id = state['id']
self.func_ref = state['func']
self.func = ref_to_obj(self.func_ref)
self.trigger = state['trigger']
self.executor = state['executor']
self.args = state['args']
self.kwargs = state['kwargs']
self.name = state['name']
self.misfire_grace_time = state['misfire_grace_time']
self.coalesce = state['coalesce']
self.max_instances = state['max_instances']
self.next_run_time = state['next_run_time']
def __eq__(self, other):
if isinstance(other, Job):
return self.id == other.id
return NotImplemented
def __repr__(self):
return '<Job (id=%s name=%s)>' % (repr_escape(self.id), repr_escape(self.name))
def __str__(self):
return repr_escape(self.__unicode__())
def __unicode__(self):
if hasattr(self, 'next_run_time'):
status = ('next run at: ' + datetime_repr(self.next_run_time) if
self.next_run_time else 'paused')
else:
status = 'pending'
return u'%s (trigger: %s, %s)' % (self.name, self.trigger, status)

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from abc import ABCMeta, abstractmethod
import logging
import six
class JobLookupError(KeyError):
"""Raised when the job store cannot find a job for update or removal."""
def __init__(self, job_id):
super(JobLookupError, self).__init__(u'No job by the id of %s was found' % job_id)
class ConflictingIdError(KeyError):
"""Raised when the uniqueness of job IDs is being violated."""
def __init__(self, job_id):
super(ConflictingIdError, self).__init__(
u'Job identifier (%s) conflicts with an existing job' % job_id)
class TransientJobError(ValueError):
"""
Raised when an attempt to add transient (with no func_ref) job to a persistent job store is
detected.
"""
def __init__(self, job_id):
super(TransientJobError, self).__init__(
u'Job (%s) cannot be added to this job store because a reference to the callable '
u'could not be determined.' % job_id)
class BaseJobStore(six.with_metaclass(ABCMeta)):
"""Abstract base class that defines the interface that every job store must implement."""
_scheduler = None
_alias = None
_logger = logging.getLogger('apscheduler.jobstores')
def start(self, scheduler, alias):
"""
Called by the scheduler when the scheduler is being started or when the job store is being
added to an already running scheduler.
:param apscheduler.schedulers.base.BaseScheduler scheduler: the scheduler that is starting
this job store
:param str|unicode alias: alias of this job store as it was assigned to the scheduler
"""
self._scheduler = scheduler
self._alias = alias
self._logger = logging.getLogger('apscheduler.jobstores.%s' % alias)
def shutdown(self):
"""Frees any resources still bound to this job store."""
def _fix_paused_jobs_sorting(self, jobs):
for i, job in enumerate(jobs):
if job.next_run_time is not None:
if i > 0:
paused_jobs = jobs[:i]
del jobs[:i]
jobs.extend(paused_jobs)
break
@abstractmethod
def lookup_job(self, job_id):
"""
Returns a specific job, or ``None`` if it isn't found..
The job store is responsible for setting the ``scheduler`` and ``jobstore`` attributes of
the returned job to point to the scheduler and itself, respectively.
:param str|unicode job_id: identifier of the job
:rtype: Job
"""
@abstractmethod
def get_due_jobs(self, now):
"""
Returns the list of jobs that have ``next_run_time`` earlier or equal to ``now``.
The returned jobs must be sorted by next run time (ascending).
:param datetime.datetime now: the current (timezone aware) datetime
:rtype: list[Job]
"""
@abstractmethod
def get_next_run_time(self):
"""
Returns the earliest run time of all the jobs stored in this job store, or ``None`` if
there are no active jobs.
:rtype: datetime.datetime
"""
@abstractmethod
def get_all_jobs(self):
"""
Returns a list of all jobs in this job store.
The returned jobs should be sorted by next run time (ascending).
Paused jobs (next_run_time == None) should be sorted last.
The job store is responsible for setting the ``scheduler`` and ``jobstore`` attributes of
the returned jobs to point to the scheduler and itself, respectively.
:rtype: list[Job]
"""
@abstractmethod
def add_job(self, job):
"""
Adds the given job to this store.
:param Job job: the job to add
:raises ConflictingIdError: if there is another job in this store with the same ID
"""
@abstractmethod
def update_job(self, job):
"""
Replaces the job in the store with the given newer version.
:param Job job: the job to update
:raises JobLookupError: if the job does not exist
"""
@abstractmethod
def remove_job(self, job_id):
"""
Removes the given job from this store.
:param str|unicode job_id: identifier of the job
:raises JobLookupError: if the job does not exist
"""
@abstractmethod
def remove_all_jobs(self):
"""Removes all jobs from this store."""
def __repr__(self):
return '<%s>' % self.__class__.__name__

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from __future__ import absolute_import
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import datetime_to_utc_timestamp
class MemoryJobStore(BaseJobStore):
"""
Stores jobs in an array in RAM. Provides no persistence support.
Plugin alias: ``memory``
"""
def __init__(self):
super(MemoryJobStore, self).__init__()
# list of (job, timestamp), sorted by next_run_time and job id (ascending)
self._jobs = []
self._jobs_index = {} # id -> (job, timestamp) lookup table
def lookup_job(self, job_id):
return self._jobs_index.get(job_id, (None, None))[0]
def get_due_jobs(self, now):
now_timestamp = datetime_to_utc_timestamp(now)
pending = []
for job, timestamp in self._jobs:
if timestamp is None or timestamp > now_timestamp:
break
pending.append(job)
return pending
def get_next_run_time(self):
return self._jobs[0][0].next_run_time if self._jobs else None
def get_all_jobs(self):
return [j[0] for j in self._jobs]
def add_job(self, job):
if job.id in self._jobs_index:
raise ConflictingIdError(job.id)
timestamp = datetime_to_utc_timestamp(job.next_run_time)
index = self._get_job_index(timestamp, job.id)
self._jobs.insert(index, (job, timestamp))
self._jobs_index[job.id] = (job, timestamp)
def update_job(self, job):
old_job, old_timestamp = self._jobs_index.get(job.id, (None, None))
if old_job is None:
raise JobLookupError(job.id)
# If the next run time has not changed, simply replace the job in its present index.
# Otherwise, reinsert the job to the list to preserve the ordering.
old_index = self._get_job_index(old_timestamp, old_job.id)
new_timestamp = datetime_to_utc_timestamp(job.next_run_time)
if old_timestamp == new_timestamp:
self._jobs[old_index] = (job, new_timestamp)
else:
del self._jobs[old_index]
new_index = self._get_job_index(new_timestamp, job.id)
self._jobs.insert(new_index, (job, new_timestamp))
self._jobs_index[old_job.id] = (job, new_timestamp)
def remove_job(self, job_id):
job, timestamp = self._jobs_index.get(job_id, (None, None))
if job is None:
raise JobLookupError(job_id)
index = self._get_job_index(timestamp, job_id)
del self._jobs[index]
del self._jobs_index[job.id]
def remove_all_jobs(self):
self._jobs = []
self._jobs_index = {}
def shutdown(self):
self.remove_all_jobs()
def _get_job_index(self, timestamp, job_id):
"""
Returns the index of the given job, or if it's not found, the index where the job should be
inserted based on the given timestamp.
:type timestamp: int
:type job_id: str
"""
lo, hi = 0, len(self._jobs)
timestamp = float('inf') if timestamp is None else timestamp
while lo < hi:
mid = (lo + hi) // 2
mid_job, mid_timestamp = self._jobs[mid]
mid_timestamp = float('inf') if mid_timestamp is None else mid_timestamp
if mid_timestamp > timestamp:
hi = mid
elif mid_timestamp < timestamp:
lo = mid + 1
elif mid_job.id > job_id:
hi = mid
elif mid_job.id < job_id:
lo = mid + 1
else:
return mid
return lo

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from __future__ import absolute_import
import warnings
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from bson.binary import Binary
from pymongo.errors import DuplicateKeyError
from pymongo import MongoClient, ASCENDING
except ImportError: # pragma: nocover
raise ImportError('MongoDBJobStore requires PyMongo installed')
class MongoDBJobStore(BaseJobStore):
"""
Stores jobs in a MongoDB database. Any leftover keyword arguments are directly passed to
pymongo's `MongoClient
<http://api.mongodb.org/python/current/api/pymongo/mongo_client.html#pymongo.mongo_client.MongoClient>`_.
Plugin alias: ``mongodb``
:param str database: database to store jobs in
:param str collection: collection to store jobs in
:param client: a :class:`~pymongo.mongo_client.MongoClient` instance to use instead of
providing connection arguments
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, database='apscheduler', collection='jobs', client=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(MongoDBJobStore, self).__init__()
self.pickle_protocol = pickle_protocol
if not database:
raise ValueError('The "database" parameter must not be empty')
if not collection:
raise ValueError('The "collection" parameter must not be empty')
if client:
self.client = maybe_ref(client)
else:
connect_args.setdefault('w', 1)
self.client = MongoClient(**connect_args)
self.collection = self.client[database][collection]
def start(self, scheduler, alias):
super(MongoDBJobStore, self).start(scheduler, alias)
self.collection.create_index('next_run_time', sparse=True)
@property
def connection(self):
warnings.warn('The "connection" member is deprecated -- use "client" instead',
DeprecationWarning)
return self.client
def lookup_job(self, job_id):
document = self.collection.find_one(job_id, ['job_state'])
return self._reconstitute_job(document['job_state']) if document else None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
return self._get_jobs({'next_run_time': {'$lte': timestamp}})
def get_next_run_time(self):
document = self.collection.find_one({'next_run_time': {'$ne': None}},
projection=['next_run_time'],
sort=[('next_run_time', ASCENDING)])
return utc_timestamp_to_datetime(document['next_run_time']) if document else None
def get_all_jobs(self):
jobs = self._get_jobs({})
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
try:
self.collection.insert_one({
'_id': job.id,
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': Binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
})
except DuplicateKeyError:
raise ConflictingIdError(job.id)
def update_job(self, job):
changes = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': Binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
}
result = self.collection.update_one({'_id': job.id}, {'$set': changes})
if result and result.matched_count == 0:
raise JobLookupError(job.id)
def remove_job(self, job_id):
result = self.collection.delete_one({'_id': job_id})
if result and result.deleted_count == 0:
raise JobLookupError(job_id)
def remove_all_jobs(self):
self.collection.delete_many({})
def shutdown(self):
self.client.close()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self, conditions):
jobs = []
failed_job_ids = []
for document in self.collection.find(conditions, ['_id', 'job_state'],
sort=[('next_run_time', ASCENDING)]):
try:
jobs.append(self._reconstitute_job(document['job_state']))
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it',
document['_id'])
failed_job_ids.append(document['_id'])
# Remove all the jobs we failed to restore
if failed_job_ids:
self.collection.delete_many({'_id': {'$in': failed_job_ids}})
return jobs
def __repr__(self):
return '<%s (client=%s)>' % (self.__class__.__name__, self.client)

150
venv/lib/python3.11/site-packages/apscheduler/jobstores/redis.py Normal file
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from __future__ import absolute_import
from datetime import datetime
from pytz import utc
import six
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from redis import Redis
except ImportError: # pragma: nocover
raise ImportError('RedisJobStore requires redis installed')
class RedisJobStore(BaseJobStore):
"""
Stores jobs in a Redis database. Any leftover keyword arguments are directly passed to redis's
:class:`~redis.StrictRedis`.
Plugin alias: ``redis``
:param int db: the database number to store jobs in
:param str jobs_key: key to store jobs in
:param str run_times_key: key to store the jobs' run times in
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, db=0, jobs_key='apscheduler.jobs', run_times_key='apscheduler.run_times',
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(RedisJobStore, self).__init__()
if db is None:
raise ValueError('The "db" parameter must not be empty')
if not jobs_key:
raise ValueError('The "jobs_key" parameter must not be empty')
if not run_times_key:
raise ValueError('The "run_times_key" parameter must not be empty')
self.pickle_protocol = pickle_protocol
self.jobs_key = jobs_key
self.run_times_key = run_times_key
self.redis = Redis(db=int(db), **connect_args)
def lookup_job(self, job_id):
job_state = self.redis.hget(self.jobs_key, job_id)
return self._reconstitute_job(job_state) if job_state else None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
job_ids = self.redis.zrangebyscore(self.run_times_key, 0, timestamp)
if job_ids:
job_states = self.redis.hmget(self.jobs_key, *job_ids)
return self._reconstitute_jobs(six.moves.zip(job_ids, job_states))
return []
def get_next_run_time(self):
next_run_time = self.redis.zrange(self.run_times_key, 0, 0, withscores=True)
if next_run_time:
return utc_timestamp_to_datetime(next_run_time[0][1])
def get_all_jobs(self):
job_states = self.redis.hgetall(self.jobs_key)
jobs = self._reconstitute_jobs(six.iteritems(job_states))
paused_sort_key = datetime(9999, 12, 31, tzinfo=utc)
return sorted(jobs, key=lambda job: job.next_run_time or paused_sort_key)
def add_job(self, job):
if self.redis.hexists(self.jobs_key, job.id):
raise ConflictingIdError(job.id)
with self.redis.pipeline() as pipe:
pipe.multi()
pipe.hset(self.jobs_key, job.id, pickle.dumps(job.__getstate__(),
self.pickle_protocol))
if job.next_run_time:
pipe.zadd(self.run_times_key,
{job.id: datetime_to_utc_timestamp(job.next_run_time)})
pipe.execute()
def update_job(self, job):
if not self.redis.hexists(self.jobs_key, job.id):
raise JobLookupError(job.id)
with self.redis.pipeline() as pipe:
pipe.hset(self.jobs_key, job.id, pickle.dumps(job.__getstate__(),
self.pickle_protocol))
if job.next_run_time:
pipe.zadd(self.run_times_key,
{job.id: datetime_to_utc_timestamp(job.next_run_time)})
else:
pipe.zrem(self.run_times_key, job.id)
pipe.execute()
def remove_job(self, job_id):
if not self.redis.hexists(self.jobs_key, job_id):
raise JobLookupError(job_id)
with self.redis.pipeline() as pipe:
pipe.hdel(self.jobs_key, job_id)
pipe.zrem(self.run_times_key, job_id)
pipe.execute()
def remove_all_jobs(self):
with self.redis.pipeline() as pipe:
pipe.delete(self.jobs_key)
pipe.delete(self.run_times_key)
pipe.execute()
def shutdown(self):
self.redis.connection_pool.disconnect()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _reconstitute_jobs(self, job_states):
jobs = []
failed_job_ids = []
for job_id, job_state in job_states:
try:
jobs.append(self._reconstitute_job(job_state))
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it', job_id)
failed_job_ids.append(job_id)
# Remove all the jobs we failed to restore
if failed_job_ids:
with self.redis.pipeline() as pipe:
pipe.hdel(self.jobs_key, *failed_job_ids)
pipe.zrem(self.run_times_key, *failed_job_ids)
pipe.execute()
return jobs
def __repr__(self):
return '<%s>' % self.__class__.__name__

155
venv/lib/python3.11/site-packages/apscheduler/jobstores/rethinkdb.py Normal file
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from __future__ import absolute_import
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from rethinkdb import RethinkDB
except ImportError: # pragma: nocover
raise ImportError('RethinkDBJobStore requires rethinkdb installed')
class RethinkDBJobStore(BaseJobStore):
"""
Stores jobs in a RethinkDB database. Any leftover keyword arguments are directly passed to
rethinkdb's `RethinkdbClient <http://www.rethinkdb.com/api/#connect>`_.
Plugin alias: ``rethinkdb``
:param str database: database to store jobs in
:param str collection: collection to store jobs in
:param client: a :class:`rethinkdb.net.Connection` instance to use instead of providing
connection arguments
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, database='apscheduler', table='jobs', client=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(RethinkDBJobStore, self).__init__()
if not database:
raise ValueError('The "database" parameter must not be empty')
if not table:
raise ValueError('The "table" parameter must not be empty')
self.database = database
self.table_name = table
self.table = None
self.client = client
self.pickle_protocol = pickle_protocol
self.connect_args = connect_args
self.r = RethinkDB()
self.conn = None
def start(self, scheduler, alias):
super(RethinkDBJobStore, self).start(scheduler, alias)
if self.client:
self.conn = maybe_ref(self.client)
else:
self.conn = self.r.connect(db=self.database, **self.connect_args)
if self.database not in self.r.db_list().run(self.conn):
self.r.db_create(self.database).run(self.conn)
if self.table_name not in self.r.table_list().run(self.conn):
self.r.table_create(self.table_name).run(self.conn)
if 'next_run_time' not in self.r.table(self.table_name).index_list().run(self.conn):
self.r.table(self.table_name).index_create('next_run_time').run(self.conn)
self.table = self.r.db(self.database).table(self.table_name)
def lookup_job(self, job_id):
results = list(self.table.get_all(job_id).pluck('job_state').run(self.conn))
return self._reconstitute_job(results[0]['job_state']) if results else None
def get_due_jobs(self, now):
return self._get_jobs(self.r.row['next_run_time'] <= datetime_to_utc_timestamp(now))
def get_next_run_time(self):
results = list(
self.table
.filter(self.r.row['next_run_time'] != None) # noqa
.order_by(self.r.asc('next_run_time'))
.map(lambda x: x['next_run_time'])
.limit(1)
.run(self.conn)
)
return utc_timestamp_to_datetime(results[0]) if results else None
def get_all_jobs(self):
jobs = self._get_jobs()
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
job_dict = {
'id': job.id,
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': self.r.binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
}
results = self.table.insert(job_dict).run(self.conn)
if results['errors'] > 0:
raise ConflictingIdError(job.id)
def update_job(self, job):
changes = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': self.r.binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
}
results = self.table.get_all(job.id).update(changes).run(self.conn)
skipped = False in map(lambda x: results[x] == 0, results.keys())
if results['skipped'] > 0 or results['errors'] > 0 or not skipped:
raise JobLookupError(job.id)
def remove_job(self, job_id):
results = self.table.get_all(job_id).delete().run(self.conn)
if results['deleted'] + results['skipped'] != 1:
raise JobLookupError(job_id)
def remove_all_jobs(self):
self.table.delete().run(self.conn)
def shutdown(self):
self.conn.close()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self, predicate=None):
jobs = []
failed_job_ids = []
query = (self.table.filter(self.r.row['next_run_time'] != None).filter(predicate) # noqa
if predicate else self.table)
query = query.order_by('next_run_time', 'id').pluck('id', 'job_state')
for document in query.run(self.conn):
try:
jobs.append(self._reconstitute_job(document['job_state']))
except Exception:
self._logger.exception('Unable to restore job "%s" -- removing it', document['id'])
failed_job_ids.append(document['id'])
# Remove all the jobs we failed to restore
if failed_job_ids:
self.r.expr(failed_job_ids).for_each(
lambda job_id: self.table.get_all(job_id).delete()).run(self.conn)
return jobs
def __repr__(self):
connection = self.conn
return '<%s (connection=%s)>' % (self.__class__.__name__, connection)

161
venv/lib/python3.11/site-packages/apscheduler/jobstores/sqlalchemy.py Normal file
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from __future__ import absolute_import
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from sqlalchemy import (
create_engine, Table, Column, MetaData, Unicode, Float, LargeBinary, select, and_)
from sqlalchemy.exc import IntegrityError
from sqlalchemy.sql.expression import null
except ImportError: # pragma: nocover
raise ImportError('SQLAlchemyJobStore requires SQLAlchemy installed')
class SQLAlchemyJobStore(BaseJobStore):
"""
Stores jobs in a database table using SQLAlchemy.
The table will be created if it doesn't exist in the database.
Plugin alias: ``sqlalchemy``
:param str url: connection string (see
:ref:`SQLAlchemy documentation <sqlalchemy:database_urls>` on this)
:param engine: an SQLAlchemy :class:`~sqlalchemy.engine.Engine` to use instead of creating a
new one based on ``url``
:param str tablename: name of the table to store jobs in
:param metadata: a :class:`~sqlalchemy.schema.MetaData` instance to use instead of creating a
new one
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
:param str tableschema: name of the (existing) schema in the target database where the table
should be
:param dict engine_options: keyword arguments to :func:`~sqlalchemy.create_engine`
(ignored if ``engine`` is given)
"""
def __init__(self, url=None, engine=None, tablename='apscheduler_jobs', metadata=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL, tableschema=None, engine_options=None):
super(SQLAlchemyJobStore, self).__init__()
self.pickle_protocol = pickle_protocol
metadata = maybe_ref(metadata) or MetaData()
if engine:
self.engine = maybe_ref(engine)
elif url:
self.engine = create_engine(url, **(engine_options or {}))
else:
raise ValueError('Need either "engine" or "url" defined')
# 191 = max key length in MySQL for InnoDB/utf8mb4 tables,
# 25 = precision that translates to an 8-byte float
self.jobs_t = Table(
tablename, metadata,
Column('id', Unicode(191), primary_key=True),
Column('next_run_time', Float(25), index=True),
Column('job_state', LargeBinary, nullable=False),
schema=tableschema
)
def start(self, scheduler, alias):
super(SQLAlchemyJobStore, self).start(scheduler, alias)
self.jobs_t.create(self.engine, True)
def lookup_job(self, job_id):
selectable = select(self.jobs_t.c.job_state).where(self.jobs_t.c.id == job_id)
with self.engine.begin() as connection:
job_state = connection.execute(selectable).scalar()
return self._reconstitute_job(job_state) if job_state else None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
return self._get_jobs(self.jobs_t.c.next_run_time <= timestamp)
def get_next_run_time(self):
selectable = select(self.jobs_t.c.next_run_time).\
where(self.jobs_t.c.next_run_time != null()).\
order_by(self.jobs_t.c.next_run_time).limit(1)
with self.engine.begin() as connection:
next_run_time = connection.execute(selectable).scalar()
return utc_timestamp_to_datetime(next_run_time)
def get_all_jobs(self):
jobs = self._get_jobs()
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
insert = self.jobs_t.insert().values(**{
'id': job.id,
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': pickle.dumps(job.__getstate__(), self.pickle_protocol)
})
with self.engine.begin() as connection:
try:
connection.execute(insert)
except IntegrityError:
raise ConflictingIdError(job.id)
def update_job(self, job):
update = self.jobs_t.update().values(**{
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': pickle.dumps(job.__getstate__(), self.pickle_protocol)
}).where(self.jobs_t.c.id == job.id)
with self.engine.begin() as connection:
result = connection.execute(update)
if result.rowcount == 0:
raise JobLookupError(job.id)
def remove_job(self, job_id):
delete = self.jobs_t.delete().where(self.jobs_t.c.id == job_id)
with self.engine.begin() as connection:
result = connection.execute(delete)
if result.rowcount == 0:
raise JobLookupError(job_id)
def remove_all_jobs(self):
delete = self.jobs_t.delete()
with self.engine.begin() as connection:
connection.execute(delete)
def shutdown(self):
self.engine.dispose()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job_state['jobstore'] = self
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self, *conditions):
jobs = []
selectable = select(self.jobs_t.c.id, self.jobs_t.c.job_state).\
order_by(self.jobs_t.c.next_run_time)
selectable = selectable.where(and_(*conditions)) if conditions else selectable
failed_job_ids = set()
with self.engine.begin() as connection:
for row in connection.execute(selectable):
try:
jobs.append(self._reconstitute_job(row.job_state))
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it', row.id)
failed_job_ids.add(row.id)
# Remove all the jobs we failed to restore
if failed_job_ids:
delete = self.jobs_t.delete().where(self.jobs_t.c.id.in_(failed_job_ids))
connection.execute(delete)
return jobs
def __repr__(self):
return '<%s (url=%s)>' % (self.__class__.__name__, self.engine.url)

178
venv/lib/python3.11/site-packages/apscheduler/jobstores/zookeeper.py Normal file
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from __future__ import absolute_import
from datetime import datetime
from pytz import utc
from kazoo.exceptions import NoNodeError, NodeExistsError
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from kazoo.client import KazooClient
except ImportError: # pragma: nocover
raise ImportError('ZooKeeperJobStore requires Kazoo installed')
class ZooKeeperJobStore(BaseJobStore):
"""
Stores jobs in a ZooKeeper tree. Any leftover keyword arguments are directly passed to
kazoo's `KazooClient
<http://kazoo.readthedocs.io/en/latest/api/client.html>`_.
Plugin alias: ``zookeeper``
:param str path: path to store jobs in
:param client: a :class:`~kazoo.client.KazooClient` instance to use instead of
providing connection arguments
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, path='/apscheduler', client=None, close_connection_on_exit=False,
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(ZooKeeperJobStore, self).__init__()
self.pickle_protocol = pickle_protocol
self.close_connection_on_exit = close_connection_on_exit
if not path:
raise ValueError('The "path" parameter must not be empty')
self.path = path
if client:
self.client = maybe_ref(client)
else:
self.client = KazooClient(**connect_args)
self._ensured_path = False
def _ensure_paths(self):
if not self._ensured_path:
self.client.ensure_path(self.path)
self._ensured_path = True
def start(self, scheduler, alias):
super(ZooKeeperJobStore, self).start(scheduler, alias)
if not self.client.connected:
self.client.start()
def lookup_job(self, job_id):
self._ensure_paths()
node_path = self.path + "/" + str(job_id)
try:
content, _ = self.client.get(node_path)
doc = pickle.loads(content)
job = self._reconstitute_job(doc['job_state'])
return job
except BaseException:
return None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
jobs = [job_def['job'] for job_def in self._get_jobs()
if job_def['next_run_time'] is not None and job_def['next_run_time'] <= timestamp]
return jobs
def get_next_run_time(self):
next_runs = [job_def['next_run_time'] for job_def in self._get_jobs()
if job_def['next_run_time'] is not None]
return utc_timestamp_to_datetime(min(next_runs)) if len(next_runs) > 0 else None
def get_all_jobs(self):
jobs = [job_def['job'] for job_def in self._get_jobs()]
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
self._ensure_paths()
node_path = self.path + "/" + str(job.id)
value = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': job.__getstate__()
}
data = pickle.dumps(value, self.pickle_protocol)
try:
self.client.create(node_path, value=data)
except NodeExistsError:
raise ConflictingIdError(job.id)
def update_job(self, job):
self._ensure_paths()
node_path = self.path + "/" + str(job.id)
changes = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': job.__getstate__()
}
data = pickle.dumps(changes, self.pickle_protocol)
try:
self.client.set(node_path, value=data)
except NoNodeError:
raise JobLookupError(job.id)
def remove_job(self, job_id):
self._ensure_paths()
node_path = self.path + "/" + str(job_id)
try:
self.client.delete(node_path)
except NoNodeError:
raise JobLookupError(job_id)
def remove_all_jobs(self):
try:
self.client.delete(self.path, recursive=True)
except NoNodeError:
pass
self._ensured_path = False
def shutdown(self):
if self.close_connection_on_exit:
self.client.stop()
self.client.close()
def _reconstitute_job(self, job_state):
job_state = job_state
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self):
self._ensure_paths()
jobs = []
failed_job_ids = []
all_ids = self.client.get_children(self.path)
for node_name in all_ids:
try:
node_path = self.path + "/" + node_name
content, _ = self.client.get(node_path)
doc = pickle.loads(content)
job_def = {
'job_id': node_name,
'next_run_time': doc['next_run_time'] if doc['next_run_time'] else None,
'job_state': doc['job_state'],
'job': self._reconstitute_job(doc['job_state']),
'creation_time': _.ctime
}
jobs.append(job_def)
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it' % node_name)
failed_job_ids.append(node_name)
# Remove all the jobs we failed to restore
if failed_job_ids:
for failed_id in failed_job_ids:
self.remove_job(failed_id)
paused_sort_key = datetime(9999, 12, 31, tzinfo=utc)
return sorted(jobs, key=lambda job_def: (job_def['job'].next_run_time or paused_sort_key,
job_def['creation_time']))
def __repr__(self):
self._logger.exception('<%s (client=%s)>' % (self.__class__.__name__, self.client))
return '<%s (client=%s)>' % (self.__class__.__name__, self.client)

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