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Luke Esau
2020-11-03 18:30:14 -08:00
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241
python3-vckonline/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:
ttps:/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 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 virutal 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
}
}
# 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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python3-vckonline/bin/activate Normal file
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# 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
# This should detect bash and zsh, which have a hash command that must
# be called to get it to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
hash -r
fi
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
PS1="${_OLD_VIRTUAL_PS1:-}"
export PS1
unset _OLD_VIRTUAL_PS1
fi
unset VIRTUAL_ENV
if [ ! "${1:-}" = "nondestructive" ] ; then
# Self destruct!
unset -f deactivate
fi
}
# unset irrelevant variables
deactivate nondestructive
VIRTUAL_ENV="/home/lukesau/dev/vckonline/python3-vckonline"
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:-}"
if [ "x(python3-vckonline) " != x ] ; then
PS1="(python3-vckonline) ${PS1:-}"
else
if [ "`basename \"$VIRTUAL_ENV\"`" = "__" ] ; then
# special case for Aspen magic directories
# see http://www.zetadev.com/software/aspen/
PS1="[`basename \`dirname \"$VIRTUAL_ENV\"\``] $PS1"
else
PS1="(`basename \"$VIRTUAL_ENV\"`)$PS1"
fi
fi
export PS1
fi
# This should detect bash and zsh, which have a hash command that must
# be called to get it to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
hash -r
fi

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python3-vckonline/bin/activate.csh Normal file
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# 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; test "\!:*" != "nondestructive" && unalias deactivate'
# Unset irrelevant variables.
deactivate nondestructive
setenv VIRTUAL_ENV "/home/lukesau/dev/vckonline/python3-vckonline"
set _OLD_VIRTUAL_PATH="$PATH"
setenv PATH "$VIRTUAL_ENV/bin:$PATH"
set _OLD_VIRTUAL_PROMPT="$prompt"
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
if ("python3-vckonline" != "") then
set env_name = "python3-vckonline"
else
if (`basename "VIRTUAL_ENV"` == "__") then
# special case for Aspen magic directories
# see http://www.zetadev.com/software/aspen/
set env_name = `basename \`dirname "$VIRTUAL_ENV"\``
else
set env_name = `basename "$VIRTUAL_ENV"`
endif
endif
set prompt = "[$env_name] $prompt"
unset env_name
endif
alias pydoc python -m pydoc
rehash

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python3-vckonline/bin/activate.fish Normal file
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# This file must be used with ". bin/activate.fish" *from fish* (http://fishshell.org)
# you cannot run it directly
function deactivate -d "Exit virtualenv 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"
functions -e fish_prompt
set -e _OLD_FISH_PROMPT_OVERRIDE
functions -c _old_fish_prompt fish_prompt
functions -e _old_fish_prompt
end
set -e VIRTUAL_ENV
if test "$argv[1]" != "nondestructive"
# Self destruct!
functions -e deactivate
end
end
# unset irrelevant variables
deactivate nondestructive
set -gx VIRTUAL_ENV "/home/lukesau/dev/vckonline/python3-vckonline"
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 $status
# Prompt override?
if test -n "(python3-vckonline) "
printf "%s%s" "(python3-vckonline) " (set_color normal)
else
# ...Otherwise, prepend env
set -l _checkbase (basename "$VIRTUAL_ENV")
if test $_checkbase = "__"
# special case for Aspen magic directories
# see http://www.zetadev.com/software/aspen/
printf "%s[%s]%s " (set_color -b blue white) (basename (dirname "$VIRTUAL_ENV")) (set_color normal)
else
printf "%s(%s)%s" (set_color -b blue white) (basename "$VIRTUAL_ENV") (set_color normal)
end
end
# Restore the return status of the previous command.
echo "exit $old_status" | .
_old_fish_prompt
end
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
end

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python3-vckonline/bin/conf Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from conf.scripts import start
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(start())

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python3-vckonline/bin/easy_install Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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python3-vckonline/bin/easy_install-3.8 Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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python3-vckonline/bin/flask Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from flask.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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python3-vckonline/bin/pip Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- 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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python3-vckonline/bin/pip3 Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- 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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python3-vckonline/bin/pip3.8 Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- 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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python3-vckonline/bin/pop-seed Executable file
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#!/home/lukesau/dev/vckonline/python3-vckonline/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pop.scripts import pop_seed
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(pop_seed())

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python3-vckonline/bin/python Symbolic link
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python3

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python3-vckonline/bin/python3 Symbolic link
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/usr/bin/python3

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python3-vckonline/lib/python3.8/site-packages/Flask-1.1.2.dist-info/INSTALLER Normal file
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pip

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python3-vckonline/lib/python3.8/site-packages/Flask-1.1.2.dist-info/LICENSE.rst Normal file
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Copyright 2010 Pallets
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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python3-vckonline/lib/python3.8/site-packages/Flask-1.1.2.dist-info/METADATA Normal file
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Metadata-Version: 2.1
Name: Flask
Version: 1.1.2
Summary: A simple framework for building complex web applications.
Home-page: https://palletsprojects.com/p/flask/
Author: Armin Ronacher
Author-email: armin.ronacher@active-4.com
Maintainer: Pallets
Maintainer-email: contact@palletsprojects.com
License: BSD-3-Clause
Project-URL: Documentation, https://flask.palletsprojects.com/
Project-URL: Code, https://github.com/pallets/flask
Project-URL: Issue tracker, https://github.com/pallets/flask/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Framework :: Flask
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI :: Application
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Requires-Dist: Werkzeug (>=0.15)
Requires-Dist: Jinja2 (>=2.10.1)
Requires-Dist: itsdangerous (>=0.24)
Requires-Dist: click (>=5.1)
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: coverage ; extra == 'dev'
Requires-Dist: tox ; extra == 'dev'
Requires-Dist: sphinx ; extra == 'dev'
Requires-Dist: pallets-sphinx-themes ; extra == 'dev'
Requires-Dist: sphinxcontrib-log-cabinet ; extra == 'dev'
Requires-Dist: sphinx-issues ; extra == 'dev'
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: pallets-sphinx-themes ; extra == 'docs'
Requires-Dist: sphinxcontrib-log-cabinet ; extra == 'docs'
Requires-Dist: sphinx-issues ; extra == 'docs'
Provides-Extra: dotenv
Requires-Dist: python-dotenv ; extra == 'dotenv'
Flask
=====
Flask is a lightweight `WSGI`_ web application framework. It is designed
to make getting started quick and easy, with the ability to scale up to
complex applications. It began as a simple wrapper around `Werkzeug`_
and `Jinja`_ and has become one of the most popular Python web
application frameworks.
Flask offers suggestions, but doesn't enforce any dependencies or
project layout. It is up to the developer to choose the tools and
libraries they want to use. There are many extensions provided by the
community that make adding new functionality easy.
Installing
----------
Install and update using `pip`_:
.. code-block:: text
pip install -U Flask
A Simple Example
----------------
.. code-block:: python
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello, World!"
.. code-block:: text
$ env FLASK_APP=hello.py flask run
* Serving Flask app "hello"
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Contributing
------------
For guidance on setting up a development environment and how to make a
contribution to Flask, see the `contributing guidelines`_.
.. _contributing guidelines: https://github.com/pallets/flask/blob/master/CONTRIBUTING.rst
Donate
------
The Pallets organization develops and supports Flask and the libraries
it uses. In order to grow the community of contributors and users, and
allow the maintainers to devote more time to the projects, `please
donate today`_.
.. _please donate today: https://psfmember.org/civicrm/contribute/transact?reset=1&id=20
Links
-----
* Website: https://palletsprojects.com/p/flask/
* Documentation: https://flask.palletsprojects.com/
* Releases: https://pypi.org/project/Flask/
* Code: https://github.com/pallets/flask
* Issue tracker: https://github.com/pallets/flask/issues
* Test status: https://dev.azure.com/pallets/flask/_build
* Official chat: https://discord.gg/t6rrQZH
.. _WSGI: https://wsgi.readthedocs.io
.. _Werkzeug: https://www.palletsprojects.com/p/werkzeug/
.. _Jinja: https://www.palletsprojects.com/p/jinja/
.. _pip: https://pip.pypa.io/en/stable/quickstart/

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[console_scripts]
flask = flask.cli:main

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flask

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pip

28
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Copyright 2007 Pallets
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

106
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Metadata-Version: 2.1
Name: Jinja2
Version: 2.11.2
Summary: A very fast and expressive template engine.
Home-page: https://palletsprojects.com/p/jinja/
Author: Armin Ronacher
Author-email: armin.ronacher@active-4.com
Maintainer: Pallets
Maintainer-email: contact@palletsprojects.com
License: BSD-3-Clause
Project-URL: Documentation, https://jinja.palletsprojects.com/
Project-URL: Code, https://github.com/pallets/jinja
Project-URL: Issue tracker, https://github.com/pallets/jinja/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: HTML
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Description-Content-Type: text/x-rst
Requires-Dist: MarkupSafe (>=0.23)
Provides-Extra: i18n
Requires-Dist: Babel (>=0.8) ; extra == 'i18n'
Jinja
=====
Jinja is a fast, expressive, extensible templating engine. Special
placeholders in the template allow writing code similar to Python
syntax. Then the template is passed data to render the final document.
It includes:
- Template inheritance and inclusion.
- Define and import macros within templates.
- HTML templates can use autoescaping to prevent XSS from untrusted
user input.
- A sandboxed environment can safely render untrusted templates.
- AsyncIO support for generating templates and calling async
functions.
- I18N support with Babel.
- Templates are compiled to optimized Python code just-in-time and
cached, or can be compiled ahead-of-time.
- Exceptions point to the correct line in templates to make debugging
easier.
- Extensible filters, tests, functions, and even syntax.
Jinja's philosophy is that while application logic belongs in Python if
possible, it shouldn't make the template designer's job difficult by
restricting functionality too much.
Installing
----------
Install and update using `pip`_:
.. code-block:: text
$ pip install -U Jinja2
.. _pip: https://pip.pypa.io/en/stable/quickstart/
In A Nutshell
-------------
.. code-block:: jinja
{% extends "base.html" %}
{% block title %}Members{% endblock %}
{% block content %}
<ul>
{% for user in users %}
<li><a href="{{ user.url }}">{{ user.username }}</a></li>
{% endfor %}
</ul>
{% endblock %}
Links
-----
- Website: https://palletsprojects.com/p/jinja/
- Documentation: https://jinja.palletsprojects.com/
- Releases: https://pypi.org/project/Jinja2/
- Code: https://github.com/pallets/jinja
- Issue tracker: https://github.com/pallets/jinja/issues
- Test status: https://dev.azure.com/pallets/jinja/_build
- Official chat: https://discord.gg/t6rrQZH

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[babel.extractors]
jinja2 = jinja2.ext:babel_extract [i18n]

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jinja2

1
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pip

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Copyright 2010 Pallets
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

105
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Metadata-Version: 2.1
Name: MarkupSafe
Version: 1.1.1
Summary: Safely add untrusted strings to HTML/XML markup.
Home-page: https://palletsprojects.com/p/markupsafe/
Author: Armin Ronacher
Author-email: armin.ronacher@active-4.com
Maintainer: The Pallets Team
Maintainer-email: contact@palletsprojects.com
License: BSD-3-Clause
Project-URL: Documentation, https://markupsafe.palletsprojects.com/
Project-URL: Code, https://github.com/pallets/markupsafe
Project-URL: Issue tracker, https://github.com/pallets/markupsafe/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: HTML
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
Description-Content-Type: text/x-rst
MarkupSafe
==========
MarkupSafe implements a text object that escapes characters so it is
safe to use in HTML and XML. Characters that have special meanings are
replaced so that they display as the actual characters. This mitigates
injection attacks, meaning untrusted user input can safely be displayed
on a page.
Installing
----------
Install and update using `pip`_:
.. code-block:: text
pip install -U MarkupSafe
.. _pip: https://pip.pypa.io/en/stable/quickstart/
Examples
--------
.. code-block:: pycon
>>> from markupsafe import Markup, escape
>>> # escape replaces special characters and wraps in Markup
>>> escape('<script>alert(document.cookie);</script>')
Markup(u'&lt;script&gt;alert(document.cookie);&lt;/script&gt;')
>>> # wrap in Markup to mark text "safe" and prevent escaping
>>> Markup('<strong>Hello</strong>')
Markup('<strong>hello</strong>')
>>> escape(Markup('<strong>Hello</strong>'))
Markup('<strong>hello</strong>')
>>> # Markup is a text subclass (str on Python 3, unicode on Python 2)
>>> # methods and operators escape their arguments
>>> template = Markup("Hello <em>%s</em>")
>>> template % '"World"'
Markup('Hello <em>&#34;World&#34;</em>')
Donate
------
The Pallets organization develops and supports MarkupSafe and other
libraries that use it. In order to grow the community of contributors
and users, and allow the maintainers to devote more time to the
projects, `please donate today`_.
.. _please donate today: https://palletsprojects.com/donate
Links
-----
* Website: https://palletsprojects.com/p/markupsafe/
* Documentation: https://markupsafe.palletsprojects.com/
* License: `BSD-3-Clause <https://github.com/pallets/markupsafe/blob/master/LICENSE.rst>`_
* Releases: https://pypi.org/project/MarkupSafe/
* Code: https://github.com/pallets/markupsafe
* Issue tracker: https://github.com/pallets/markupsafe/issues
* Test status:
* Linux, Mac: https://travis-ci.org/pallets/markupsafe
* Windows: https://ci.appveyor.com/project/pallets/markupsafe
* Test coverage: https://codecov.io/gh/pallets/markupsafe
* Official chat: https://discord.gg/t6rrQZH

16
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Metadata-Version: 1.2
Name: PyYAML
Version: 5.3.1
Summary: YAML parser and emitter for Python
Home-page: https://github.com/yaml/pyyaml
Author: Kirill Simonov
Author-email: xi@resolvent.net
License: MIT
Download-URL: https://pypi.org/project/PyYAML/
Description: YAML is a data serialization format designed for human readability
and interaction with scripting languages. PyYAML is a YAML parser
and emitter for Python.
PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
support, capable extension API, and sensible error messages. PyYAML
supports standard YAML tags and provides Python-specific tags that
allow to represent an arbitrary Python object.
PyYAML is applicable for a broad range of tasks from complex
configuration files to object serialization and persistence.
Platform: Any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*

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LICENSE
README
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setup.py
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ext/_yaml.pxd
ext/_yaml.pyx
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Copyright 2007 Pallets
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

128
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Metadata-Version: 2.1
Name: Werkzeug
Version: 1.0.1
Summary: The comprehensive WSGI web application library.
Home-page: https://palletsprojects.com/p/werkzeug/
Author: Armin Ronacher
Author-email: armin.ronacher@active-4.com
Maintainer: Pallets
Maintainer-email: contact@palletsprojects.com
License: BSD-3-Clause
Project-URL: Documentation, https://werkzeug.palletsprojects.com/
Project-URL: Code, https://github.com/pallets/werkzeug
Project-URL: Issue tracker, https://github.com/pallets/werkzeug/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI :: Application
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI :: Middleware
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Description-Content-Type: text/x-rst
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-timeout ; extra == 'dev'
Requires-Dist: coverage ; extra == 'dev'
Requires-Dist: tox ; extra == 'dev'
Requires-Dist: sphinx ; extra == 'dev'
Requires-Dist: pallets-sphinx-themes ; extra == 'dev'
Requires-Dist: sphinx-issues ; extra == 'dev'
Provides-Extra: watchdog
Requires-Dist: watchdog ; extra == 'watchdog'
Werkzeug
========
*werkzeug* German noun: "tool". Etymology: *werk* ("work"), *zeug* ("stuff")
Werkzeug is a comprehensive `WSGI`_ web application library. It began as
a simple collection of various utilities for WSGI applications and has
become one of the most advanced WSGI utility libraries.
It includes:
- An interactive debugger that allows inspecting stack traces and
source code in the browser with an interactive interpreter for any
frame in the stack.
- A full-featured request object with objects to interact with
headers, query args, form data, files, and cookies.
- A response object that can wrap other WSGI applications and handle
streaming data.
- A routing system for matching URLs to endpoints and generating URLs
for endpoints, with an extensible system for capturing variables
from URLs.
- HTTP utilities to handle entity tags, cache control, dates, user
agents, cookies, files, and more.
- A threaded WSGI server for use while developing applications
locally.
- A test client for simulating HTTP requests during testing without
requiring running a server.
Werkzeug is Unicode aware and doesn't enforce any dependencies. It is up
to the developer to choose a template engine, database adapter, and even
how to handle requests. It can be used to build all sorts of end user
applications such as blogs, wikis, or bulletin boards.
`Flask`_ wraps Werkzeug, using it to handle the details of WSGI while
providing more structure and patterns for defining powerful
applications.
Installing
----------
Install and update using `pip`_:
.. code-block:: text
pip install -U Werkzeug
A Simple Example
----------------
.. code-block:: python
from werkzeug.wrappers import Request, Response
@Request.application
def application(request):
return Response('Hello, World!')
if __name__ == '__main__':
from werkzeug.serving import run_simple
run_simple('localhost', 4000, application)
Links
-----
- Website: https://palletsprojects.com/p/werkzeug/
- Documentation: https://werkzeug.palletsprojects.com/
- Releases: https://pypi.org/project/Werkzeug/
- Code: https://github.com/pallets/werkzeug
- Issue tracker: https://github.com/pallets/werkzeug/issues
- Test status: https://dev.azure.com/pallets/werkzeug/_build
- Official chat: https://discord.gg/t6rrQZH
.. _WSGI: https://wsgi.readthedocs.io/en/latest/
.. _Flask: https://www.palletsprojects.com/p/flask/
.. _pip: https://pip.pypa.io/en/stable/quickstart/

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Tag: py3-none-any

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aiofiles: file support for asyncio
==================================
.. image:: https://img.shields.io/pypi/v/aiofiles.svg
:target: https://pypi.python.org/pypi/aiofiles
.. image:: https://travis-ci.org/Tinche/aiofiles.svg?branch=master
:target: https://travis-ci.org/Tinche/aiofiles
.. image:: https://codecov.io/gh/Tinche/aiofiles/branch/master/graph/badge.svg
:target: https://codecov.io/gh/Tinche/aiofiles
**aiofiles** is an Apache2 licensed library, written in Python, for handling local
disk files in asyncio applications.
Ordinary local file IO is blocking, and cannot easily and portably made
asynchronous. This means doing file IO may interfere with asyncio applications,
which shouldn't block the executing thread. aiofiles helps with this by
introducing asynchronous versions of files that support delegating operations to
a separate thread pool.
.. code-block:: python
async with aiofiles.open('filename', mode='r') as f:
contents = await f.read()
print(contents)
'My file contents'
Asynchronous iteration is also supported.
.. code-block:: python
async with aiofiles.open('filename') as f:
async for line in f:
...
Features
--------
- a file API very similar to Python's standard, blocking API
- support for buffered and unbuffered binary files, and buffered text files
- support for ``async``/``await`` (:PEP:`492`) constructs
Installation
------------
To install aiofiles, simply:
.. code-block:: bash
$ pip install aiofiles
Usage
-----
Files are opened using the ``aiofiles.open()`` coroutine, which in addition to
mirroring the builtin ``open`` accepts optional ``loop`` and ``executor``
arguments. If ``loop`` is absent, the default loop will be used, as per the
set asyncio policy. If ``executor`` is not specified, the default event loop
executor will be used.
In case of success, an asynchronous file object is returned with an
API identical to an ordinary file, except the following methods are coroutines
and delegate to an executor:
* ``close``
* ``flush``
* ``isatty``
* ``read``
* ``readall``
* ``read1``
* ``readinto``
* ``readline``
* ``readlines``
* ``seek``
* ``seekable``
* ``tell``
* ``truncate``
* ``writable``
* ``write``
* ``writelines``
In case of failure, one of the usual exceptions will be raised.
The ``aiofiles.os`` module contains executor-enabled coroutine versions of
several useful ``os`` functions that deal with files:
* ``stat``
* ``sendfile``
Writing tests for aiofiles
~~~~~~~~~~~~~~~~~~~~~~~~~~
Real file IO can be mocked by patching ``aiofiles.threadpool.sync_open``
as desired. The return type also needs to be registered with the
``aiofiles.threadpool.wrap`` dispatcher:
.. code-block:: python
aiofiles.threadpool.wrap.register(mock.MagicMock)(
lambda *args, **kwargs: threadpool.AsyncBufferedIOBase(*args, **kwargs))
async def test_stuff():
data = 'data'
mock_file = mock.MagicMock()
with mock.patch('aiofiles.threadpool.sync_open', return_value=mock_file) as mock_open:
async with aiofiles.open('filename', 'w') as f:
await f.write(data)
mock_file.write.assert_called_once_with(data)
History
~~~~~~~
0.4.0 (2018-08-11)
``````````````````
- Python 3.7 support.
- Removed Python 3.3/3.4 support. If you use these versions, stick to aiofiles 0.3.x.
0.3.2 (2017-09-23)
``````````````````
- The LICENSE is now included in the sdist.
`#31 <https://github.com/Tinche/aiofiles/pull/31>`_
0.3.1 (2017-03-10)
``````````````````
- Introduced a changelog.
- ``aiofiles.os.sendfile`` will now work if the standard ``os`` module contains a ``sendfile`` function.
Contributing
~~~~~~~~~~~~
Contributions are very welcome. Tests can be run with ``tox``, please ensure
the coverage at least stays the same before you submit a pull request.

1
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pip

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Metadata-Version: 2.0
Name: aiofiles
Version: 0.4.0
Summary: File support for asyncio.
Home-page: https://github.com/Tinche/aiofiles
Author: Tin Tvrtkovic
Author-email: tinchester@gmail.com
License: Apache 2.0
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: System :: Filesystems
aiofiles: file support for asyncio
==================================
.. image:: https://img.shields.io/pypi/v/aiofiles.svg
:target: https://pypi.python.org/pypi/aiofiles
.. image:: https://travis-ci.org/Tinche/aiofiles.svg?branch=master
:target: https://travis-ci.org/Tinche/aiofiles
.. image:: https://codecov.io/gh/Tinche/aiofiles/branch/master/graph/badge.svg
:target: https://codecov.io/gh/Tinche/aiofiles
**aiofiles** is an Apache2 licensed library, written in Python, for handling local
disk files in asyncio applications.
Ordinary local file IO is blocking, and cannot easily and portably made
asynchronous. This means doing file IO may interfere with asyncio applications,
which shouldn't block the executing thread. aiofiles helps with this by
introducing asynchronous versions of files that support delegating operations to
a separate thread pool.
.. code-block:: python
async with aiofiles.open('filename', mode='r') as f:
contents = await f.read()
print(contents)
'My file contents'
Asynchronous iteration is also supported.
.. code-block:: python
async with aiofiles.open('filename') as f:
async for line in f:
...
Features
--------
- a file API very similar to Python's standard, blocking API
- support for buffered and unbuffered binary files, and buffered text files
- support for ``async``/``await`` (:PEP:`492`) constructs
Installation
------------
To install aiofiles, simply:
.. code-block:: bash
$ pip install aiofiles
Usage
-----
Files are opened using the ``aiofiles.open()`` coroutine, which in addition to
mirroring the builtin ``open`` accepts optional ``loop`` and ``executor``
arguments. If ``loop`` is absent, the default loop will be used, as per the
set asyncio policy. If ``executor`` is not specified, the default event loop
executor will be used.
In case of success, an asynchronous file object is returned with an
API identical to an ordinary file, except the following methods are coroutines
and delegate to an executor:
* ``close``
* ``flush``
* ``isatty``
* ``read``
* ``readall``
* ``read1``
* ``readinto``
* ``readline``
* ``readlines``
* ``seek``
* ``seekable``
* ``tell``
* ``truncate``
* ``writable``
* ``write``
* ``writelines``
In case of failure, one of the usual exceptions will be raised.
The ``aiofiles.os`` module contains executor-enabled coroutine versions of
several useful ``os`` functions that deal with files:
* ``stat``
* ``sendfile``
Writing tests for aiofiles
~~~~~~~~~~~~~~~~~~~~~~~~~~
Real file IO can be mocked by patching ``aiofiles.threadpool.sync_open``
as desired. The return type also needs to be registered with the
``aiofiles.threadpool.wrap`` dispatcher:
.. code-block:: python
aiofiles.threadpool.wrap.register(mock.MagicMock)(
lambda *args, **kwargs: threadpool.AsyncBufferedIOBase(*args, **kwargs))
async def test_stuff():
data = 'data'
mock_file = mock.MagicMock()
with mock.patch('aiofiles.threadpool.sync_open', return_value=mock_file) as mock_open:
async with aiofiles.open('filename', 'w') as f:
await f.write(data)
mock_file.write.assert_called_once_with(data)
History
~~~~~~~
0.4.0 (2018-08-11)
``````````````````
- Python 3.7 support.
- Removed Python 3.3/3.4 support. If you use these versions, stick to aiofiles 0.3.x.
0.3.2 (2017-09-23)
``````````````````
- The LICENSE is now included in the sdist.
`#31 <https://github.com/Tinche/aiofiles/pull/31>`_
0.3.1 (2017-03-10)
``````````````````
- Introduced a changelog.
- ``aiofiles.os.sendfile`` will now work if the standard ``os`` module contains a ``sendfile`` function.
Contributing
~~~~~~~~~~~~
Contributions are very welcome. Tests can be run with ``tox``, please ensure
the coverage at least stays the same before you submit a pull request.

23
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{"classifiers": ["Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: System :: Filesystems"], "extensions": {"python.details": {"contacts": [{"email": "tinchester@gmail.com", "name": "Tin Tvrtkovic", "role": "author"}], "document_names": {"description": "DESCRIPTION.rst"}, "project_urls": {"Home": "https://github.com/Tinche/aiofiles"}}}, "generator": "bdist_wheel (0.30.0)", "license": "Apache 2.0", "metadata_version": "2.0", "name": "aiofiles", "summary": "File support for asyncio.", "version": "0.4.0"}

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aiofiles

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"""Utilities for asyncio-friendly file handling."""
from .threadpool import open
__version__ = "0.4.0"
__all__ = (open,)

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import sys
try:
from functools import singledispatch
except ImportError: # pragma: nocover
from singledispatch import singledispatch
PY_35 = sys.version_info >= (3, 5)

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"""Various base classes."""
import asyncio
from collections.abc import Coroutine
class AsyncBase:
def __init__(self, file, loop, executor):
self._file = file
self._loop = loop
self._executor = executor
def __aiter__(self):
"""We are our own iterator."""
return self
@asyncio.coroutine
def __anext__(self):
"""Simulate normal file iteration."""
line = yield from self.readline()
if line:
return line
else:
raise StopAsyncIteration
class _ContextManager(Coroutine):
__slots__ = ('_coro', '_obj')
def __init__(self, coro):
self._coro = coro
self._obj = None
def send(self, value):
return self._coro.send(value)
def throw(self, typ, val=None, tb=None):
if val is None:
return self._coro.throw(typ)
elif tb is None:
return self._coro.throw(typ, val)
else:
return self._coro.throw(typ, val, tb)
def close(self):
return self._coro.close()
@property
def gi_frame(self):
return self._coro.gi_frame
@property
def gi_running(self):
return self._coro.gi_running
@property
def gi_code(self):
return self._coro.gi_code
def __next__(self):
return self.send(None)
@asyncio.coroutine
def __iter__(self):
resp = yield from self._coro
return resp
def __await__(self):
resp = yield from self._coro
return resp
@asyncio.coroutine
def __anext__(self):
resp = yield from self._coro
return resp
@asyncio.coroutine
def __aenter__(self):
self._obj = yield from self._coro
return self._obj
@asyncio.coroutine
def __aexit__(self, exc_type, exc, tb):
self._obj.close()
self._obj = None
class AiofilesContextManager(_ContextManager):
"""An adjusted async context manager for aiofiles."""
@asyncio.coroutine
def __aexit__(self, exc_type, exc_val, exc_tb):
yield from self._obj.close()
self._obj = None

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"""Async executor versions of file functions from the os module."""
import asyncio
from functools import partial, wraps
import os
def wrap(func):
@asyncio.coroutine
@wraps(func)
def run(*args, loop=None, executor=None, **kwargs):
if loop is None:
loop = asyncio.get_event_loop()
pfunc = partial(func, *args, **kwargs)
return loop.run_in_executor(executor, pfunc)
return run
stat = wrap(os.stat)
if hasattr(os, "sendfile"):
sendfile = wrap(os.sendfile)

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"""Handle files using a thread pool executor."""
import asyncio
from io import (FileIO, TextIOBase, BufferedReader, BufferedWriter,
BufferedRandom)
from functools import partial, singledispatch
from .binary import AsyncBufferedIOBase, AsyncBufferedReader, AsyncFileIO
from .text import AsyncTextIOWrapper
from ..base import AiofilesContextManager
sync_open = open
__all__ = ('open', )
def open(file, mode='r', buffering=-1, encoding=None, errors=None, newline=None,
closefd=True, opener=None, *, loop=None, executor=None):
return AiofilesContextManager(_open(file, mode=mode, buffering=buffering,
encoding=encoding, errors=errors,
newline=newline, closefd=closefd,
opener=opener, loop=loop,
executor=executor))
@asyncio.coroutine
def _open(file, mode='r', buffering=-1, encoding=None, errors=None, newline=None,
closefd=True, opener=None, *, loop=None, executor=None):
"""Open an asyncio file."""
if loop is None:
loop = asyncio.get_event_loop()
cb = partial(sync_open, file, mode=mode, buffering=buffering,
encoding=encoding, errors=errors, newline=newline,
closefd=closefd, opener=opener)
f = yield from loop.run_in_executor(executor, cb)
return wrap(f, loop=loop, executor=executor)
@singledispatch
def wrap(file, *, loop=None, executor=None):
raise TypeError('Unsupported io type: {}.'.format(file))
@wrap.register(TextIOBase)
def _(file, *, loop=None, executor=None):
return AsyncTextIOWrapper(file, loop=loop, executor=executor)
@wrap.register(BufferedWriter)
def _(file, *, loop=None, executor=None):
return AsyncBufferedIOBase(file, loop=loop, executor=executor)
@wrap.register(BufferedReader)
@wrap.register(BufferedRandom)
def _(file, *, loop=None, executor=None):
return AsyncBufferedReader(file, loop=loop, executor=executor)
@wrap.register(FileIO)
def _(file, *, loop=None, executor=None):
return AsyncFileIO(file, loop, executor)

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from ..base import AsyncBase
from .utils import (delegate_to_executor, proxy_property_directly,
proxy_method_directly)
@delegate_to_executor('close', 'flush', 'isatty', 'read', 'read1', 'readinto',
'readline', 'readlines', 'seek', 'seekable', 'tell',
'truncate', 'writable', 'write', 'writelines')
@proxy_method_directly('detach', 'fileno', 'readable')
@proxy_property_directly('closed', 'raw')
class AsyncBufferedIOBase(AsyncBase):
"""The asyncio executor version of io.BufferedWriter."""
@delegate_to_executor('peek')
class AsyncBufferedReader(AsyncBufferedIOBase):
"""The asyncio executor version of io.BufferedReader and Random."""
@delegate_to_executor('close', 'flush', 'isatty', 'read', 'readall', 'readinto',
'readline', 'readlines', 'seek', 'seekable', 'tell',
'truncate', 'writable', 'write', 'writelines')
@proxy_method_directly('fileno', 'readable')
@proxy_property_directly('closed')
class AsyncFileIO(AsyncBase):
"""The asyncio executor version of io.FileIO."""

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from .utils import (delegate_to_executor, proxy_property_directly,
proxy_method_directly)
from ..base import AsyncBase
@delegate_to_executor('close', 'flush', 'isatty', 'read', 'readable',
'readline', 'readlines', 'seek', 'seekable', 'tell',
'truncate', 'write', 'writable', 'writelines')
@proxy_method_directly('detach', 'fileno', 'readable')
@proxy_property_directly('buffer', 'closed', 'encoding', 'errors',
'line_buffering', 'newlines')
class AsyncTextIOWrapper(AsyncBase):
"""The asyncio executor version of io.TextIOWrapper."""

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import asyncio
import functools
def delegate_to_executor(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_delegate_method(attr_name))
return cls
return cls_builder
def proxy_method_directly(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_proxy_method(attr_name))
return cls
return cls_builder
def proxy_property_directly(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_proxy_property(attr_name))
return cls
return cls_builder
def _make_delegate_method(attr_name):
@asyncio.coroutine
def method(self, *args, **kwargs):
cb = functools.partial(getattr(self._file, attr_name),
*args, **kwargs)
return (yield from self._loop.run_in_executor(self._executor, cb))
return method
def _make_proxy_method(attr_name):
def method(self, *args, **kwargs):
return getattr(self._file, attr_name)(*args, **kwargs)
return method
def _make_proxy_property(attr_name):
def proxy_property(self):
return getattr(self._file, attr_name)
return property(proxy_property)

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Metadata-Version: 2.1
Name: aiologger
Version: 0.6.0
Summary: Asynchronous logging for python and asyncio
Home-page: https://github.com/b2wdigital/aiologger
Author: Diogo Magalhães Martins
Author-email: magalhaesmartins@icloud.com
License: MIT
Project-URL: Documentation, https://aiologger.readthedocs.io/en/latest/
Project-URL: Code, https://github.com/b2wdigital/aiologger
Project-URL: Issue tracker, https://github.com/b2wdigital/aiologger/issues
Description: # aiologger
[![PYPI](https://img.shields.io/pypi/v/aiologger.svg)](http://pypi.python.org/pypi/aiologger)
[![PYPI Python Versions](https://img.shields.io/pypi/pyversions/aiologger.svg)](http://pypi.python.org/pypi/aiologger)
[![Build Status](https://travis-ci.org/B2W-BIT/aiologger.svg?branch=master)](https://travis-ci.org/B2W-BIT/aiologger)
[![codecov](https://codecov.io/gh/B2W-BIT/aiologger/branch/master/graph/badge.svg)](https://codecov.io/gh/B2W-BIT/aiologger)
# About the Project
The builtin python logger is I/O blocking. This means that using the builtin
`logging` module will interfere with your asynchronouns application performance.
`aiologger` aims to be the standard Asynchronous non blocking logging for
python and asyncio.
# A word about async, Python and files
Tldr; `aiologger` is only fully async when logging to stdout/stderr. If you log into files on disk you are not being fully async and will be using Threads.
`aiologger` was created when we realized that there were no async logging libs to use. At the time, Python's built-in logging infra-structure was fully sync (still is, 3.8 beta is out). That's why we created aiologger.
Despite everything (in Linux) being a file descriptor, a Network file descriptor and the stdout/stderr FDs are treated differently from files on disk FDs. This happens because there's no stable/usable async I/O interface published by the OS to be used by Python (or any other language). That's why **logging to files is NOT truly async**. `aiologger` implementation of file logging uses [aiofiles](https://github.com/Tinche/aiofiles), which uses a Thread Pool to write the data. Keep this in mind when using `aiologger` for file logging.
Other than that, we hope `aiologger` helps you write fully async apps. :tada: :tada:
# Installation
```
pip install aiologger
```
# Testing
```
pipenv install --dev
pipenv run test
```
# Implemented interfaces
aiologger implements two different interfaces that you can use to generate your logs.
You can generate your logs using the `async/await` syntax or, if you for any reason can't (or don't want to)
change all your codebase to use this syntax you can use aiologger as if it were synchronous, but behind the scenes
your logs will be generated asynchronously.
# Migrating from standard lib logging
## Using aiologger with the standard syntax
If you prefer not to use the `async/await` all you need to do is to replace you logger instance with an instance of `aiologger.Logger`.
For now on you can call `logger.info()` the same way you are (probably) already calling. Here is a simple example:
```python
import asyncio
import logging
from logging import getLogger
async def main():
logger = getLogger(__name__)
logging.basicConfig(level=logging.DEBUG, format="%(message)s")
logger.debug("debug")
logger.info("info")
logger.warning("warning")
logger.error("error")
logger.critical("critical")
if __name__ == "__main__":
asyncio.run(main())
```
Which will output the following lines:
```
debug
info
warning
error
critical
```
---
If you want to generate all your logs asynchronously, you just have to change the instance of the `logger` object.
To do that, all we need to change those lines from:
```python
from logging import getLogger
logger = getLogger(__name__)
```
to:
```python
from aiologger import Logger
logger = Logger.with_default_handlers()
```
and here is the complete example, generating all log lines asynchronously.
```python
import asyncio
from aiologger import Logger
async def main():
logger = Logger.with_default_handlers(name='my-logger')
logger.debug("debug")
logger.info("info")
logger.warning("warning")
logger.error("error")
logger.critical("critical")
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
This code will output the following lines:
```
warning
debug
info
error
critical
```
As you might have noticed, the output order **IS NOT GUARANTEED**.
If some kind of order is important to you, you'll need to use the `await` syntax.
But thinking about an asyncio application, where every I/O operation is asynchronous,
this shouldn't really matter.
Also note that logger calls may only be made from an `async def` or from a
function called with an `async def` somewhere in the callstack.
## Using aiologger with the async/await syntax
```python
import asyncio
from aiologger import Logger
async def main():
logger = Logger.with_default_handlers(name='my-logger')
await logger.debug("debug at stdout")
await logger.info("info at stdout")
await logger.warning("warning at stderr")
await logger.error("error at stderr")
await logger.critical("critical at stderr")
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
The most basic use case is to log the output into `stdout` and `stderr`.
Using `Logger.with_default_handlers` you're able to effortlessly create a new
`Logger` instance with 2 distinct handlers:
* One for handling `debug` and `info` methods and writing to `stdout`;
* The other, for handling `warning`, `critical`, `exception` and `error` methods and writing to `stderr`.
Since everything is asynchronous, this means that for the same handler,
the output order is guaranteed, but not between distinct handlers.
The above code may output the following:
```
warning at stderr
debug at stdout
error at stderr
info at stdout
critical at stderr
```
You may notice that the order between the same handler is guaranteed. E.g.:
* `debug at stdout` was outputted before `info at stdout`
* `warning at stderr` was outputted before `error at stderr`
* between lines of distinct handlers, the order isn't guaranteed.
`warning at stderr` was outputted before `debug at stdout`
## Lazy initialization
Since the actual stream initialization only happens on the first log call, it's
possible to initialize `aiologger.Logger` instances outside a running event
loop:
```python
import asyncio
from aiologger import Logger
logger = Logger.with_default_handlers(name='my-logger')
async def main():
await logger.debug("debug at stdout")
await logger.info("info at stdout")
await logger.warning("warning at stderr")
await logger.error("error at stderr")
await logger.critical("critical at stderr")
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
# Loggers
## JsonLogger
A simple, featureful, drop-in replacement to the default `aiologger.Logger`
that grants to always log valid, single line, JSON output.
### It logs everything
```python
import asyncio
from datetime import datetime
from aiologger.loggers.json import JsonLogger
async def main():
logger = JsonLogger.with_default_handlers()
await logger.info("Im a string")
# {"logged_at": "2018-06-14T09:34:56.482817", "line_number": 9, "function": "main", "level": "INFO", "file_path": "/Users/diogo.mmartins/Library/Preferences/PyCharm2018.1/scratches/scratch_47.py", "msg": "Im a string"}
await logger.info({
'date_objects': datetime.now(),
'exceptions': KeyError("Boooom"),
'types': JsonLogger
})
# {"logged_at": "2018-06-14T09:34:56.483000", "line_number": 13, "function": "main", "level": "INFO", "file_path": "/Users/diogo.mmartins/Library/Preferences/PyCharm2018.1/scratches/scratch_47.py", "msg": {"date_objects": "2018-06-14T09:34:56.482953", "exceptions": "Exception: KeyError('Boooom',)", "types": "<JsonLogger aiologger-json (DEBUG)>"}}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
### JsonLogger Options
`Callable[[], str]` log values may also be used to generate dynamic content that
are evaluated at serialization time. All you need to do is wrap the callable
using `CallableWrapper`:
```python
import asyncio
import logging
from random import randint
from aiologger.loggers.json import JsonLogger
from aiologger.utils import CallableWrapper
def rand():
return randint(1, 100)
logger = JsonLogger.with_default_handlers(level=logging.DEBUG)
async def main():
await logger.info(CallableWrapper(rand))
# {"logged_at": "2018-06-14T09:37:52.624123", "line_number": 15, "function": "main", "level": "INFO", "file_path": "/Users/diogo.mmartins/Library/Preferences/PyCharm2018.1/scratches/scratch_47.py", "msg": 70}
await logger.info({"Xablau": CallableWrapper(rand)})
# {"logged_at": "2018-06-14T09:37:52.624305", "line_number": 18, "function": "main", "level": "INFO", "file_path": "/Users/diogo.mmartins/Library/Preferences/PyCharm2018.1/scratches/scratch_47.py", "msg": {"Xablau": 29}}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
### Adding content to root
By default, everything passed to the log methods is inserted inside
the `msg` root attribute, but sometimes we want to add content to the root level.
#### Flatten
This behavior may be achieved using `flatten`. Which is
available both as a method parameter and instance attribute.
As an instance attribute, every call to a log method would "flat" the dict attributes.
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
logger = JsonLogger.with_default_handlers(level=logging.DEBUG, flatten=True)
await logger.info({"status_code": 200, "response_time": 0.00534534})
# {"status_code": 200, "response_time": 0.534534, "logged_at": "2017-08-11T16:18:58.446985", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.error({"status_code": 404, "response_time": 0.00134534})
# {"status_code": 200, "response_time": 0.534534, "logged_at": "2017-08-11T16:18:58.446986", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
As a method parameter, only the specific call would add the content to the root.
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
logger = await JsonLogger.with_default_handlers(level=logging.DEBUG)
await logger.info({"status_code": 200, "response_time": 0.00534534}, flatten=True)
# {"logged_at": "2017-08-11T16:23:16.312441", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py", "status_code": 200, "response_time": 0.00534534}
await logger.error({"status_code": 404, "response_time": 0.00134534})
# {"logged_at": "2017-08-11T16:23:16.312618", "line_number": 8, "function": "<module>", "level": "ERROR", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py", "msg": {"status_code": 404, "response_time": 0.00134534}}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
**Warning**: It is possible to overwrite keys that are already present at root level.
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
logger = JsonLogger.with_default_handlers(level=logging.DEBUG)
await logger.info({'logged_at': 'Yesterday'}, flatten=True)
# {"logged_at": "Yesterday", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
#### Extra
The `extra` parameter allow you to add specific content to root:
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
a = 69
b = 666
c = [a, b]
logger = JsonLogger.with_default_handlers(level=logging.DEBUG)
await logger.info("I'm a simple log")
# {"msg": "I'm a simple log", "logged_at": "2017-08-11T12:21:05.722216", "line_number": 5, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.info({"dog": "Xablau"}, extra=locals())
# {"logged_at": "2018-06-14T09:47:29.477705", "line_number": 14, "function": "main", "level": "INFO", "file_path": "/Users/diogo.mmartins/Library/Preferences/PyCharm2018.1/scratches/scratch_47.py", "msg": {"dog": "Xablau"}, "logger": "<JsonLogger aiologger-json (DEBUG)>", "c": [69, 666], "b": 666, "a": 69}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
It also allows you to override the default root content:
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
logger = JsonLogger.with_default_handlers(level=logging.DEBUG)
await logger.info("I'm a simple log")
# {"msg": "I'm a simple log", "logged_at": "2017-08-11T12:21:05.722216", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.info("I'm a simple log", extra={'logged_at': 'Yesterday'})
# {"msg": "I'm a simple log", "logged_at": "Yesterday", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
and it may also be used as an instance attribute:
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
logger = JsonLogger.with_default_handlers(level=logging.DEBUG, extra={'logged_at': 'Yesterday'})
await logger.info("I'm a simple log")
# {"msg": "I'm a simple log", "logged_at": "Yesterday", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.info("I'm a simple log")
# {"msg": "I'm a simple log", "logged_at": "Yesterday", "line_number": 6, "function": "<module>", "level": "INFO", "path": "/Users/diogo/PycharmProjects/aiologger/bla.py"}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
#### Exclude default logger fields
If you think that the default fields are too much, it's also possible to
exclude fields from the output message.
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
from aiologger.formatters.json import FUNCTION_NAME_FIELDNAME, LOGGED_AT_FIELDNAME
async def main():
logger = JsonLogger.with_default_handlers(
level=logging.DEBUG,
exclude_fields=[FUNCTION_NAME_FIELDNAME,
LOGGED_AT_FIELDNAME,
'file_path',
'line_number']
)
await logger.info("Function, file path and line number wont be printed")
# {"level": "INFO", "msg": "Function, file path and line number wont be printed"}
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
### Serializer options
`serializer_kwargs` is available both as instance attribute and as
a log method parameter and may be used to pass keyword arguments to the
`serializer` function. (See more: https://docs.python.org/3/library/json.html)
For pretty printing the output, you may use the `indent` kwarg. Ex.:
```python
import asyncio
import logging
from aiologger.loggers.json import JsonLogger
async def main():
logger = JsonLogger.with_default_handlers(
level=logging.DEBUG,
serializer_kwargs={'indent': 4}
)
await logger.info({
"artist": "Black Country Communion",
"song": "Cold"
})
await logger.shutdown()
if __name__ == "__main__":
asyncio.run(main())
```
Would result in a pretty indented output:
```javascript
{
"logged_at": "2017-08-11T21:04:21.559070",
"line_number": 5,
"function": "<module>",
"level": "INFO",
"file_path": "/Users/diogo/Library/Preferences/PyCharm2017.1/scratches/scratch_32.py",
"msg": {
"artist": "Black Country Communion",
"song": "Cold"
}
}
```
The same result can be achieved making a log call with `serializer_kwargs`
as a parameter.
```python
await logger.warning({'artist': 'Black Country Communion', 'song': 'Cold'}, serializer_kwargs={'indent': 4})
```
# Handlers
## AsyncStreamHandler
A handler class for writing logs into a stream which may be `sys.stdout`
or `sys.stderr`. If a stream isn't provided, it defaults to `sys.stderr`. If
`level` is not specified, `logging.NOTSET` is used. If `formatter` is not
`None`, it is used to format the log record before `emit()` gets called. A
`filter` may be used to filter log records
```python
import sys
from aiologger.handlers.streams import AsyncStreamHandler
handler = AsyncStreamHandler(stream=sys.stdout)
```
It also accepts a level, formatter and filter at the initialization.
## AsyncFileHandler
**Important**: AsyncFileHandler depends on a optional dependency and you should
install aiologger with `pip install aiologger[aiofiles]`
A handler class that sends logs into files. The specified file is opened
and used as the _stream_ for logging. If `mode` is not specified, 'a' is
used. If `encoding` is not `None`, it is used to open the file with that
encoding. The file opening is delayed until the first call to `emit()`.
```python
from aiologger.handlers.files import AsyncFileHandler
from tempfile import NamedTemporaryFile
temp_file = NamedTemporaryFile()
handler = AsyncFileHandler(filename=temp_file.name)
```
# Options
* `AIOLOGGER_HANDLE_ERROR_FALLBACK_ENABLED` - An environment variable that tells
aiologger whether it should emit a log to `stderr` in case of a handler emit
raises an exceptions. To disable the default behaviour, set this
environment variable to a falsy value `("False", "false", "0")`. Default: `True`
# Compatibility
The explicit passing of a `loop` keyword argument, and subsequent access of a
`.loop` attribute, has been deprecated and will be removed in version 0.7.0 for
Loggers and Handlers.
Currently tested only on python 3.6 and 3.7
# Depencencies
Has none.
Keywords: logging json log output
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Framework :: AsyncIO
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Information Technology
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: System :: Logging
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: aiofiles

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README.md
setup.cfg
setup.py
aiologger/__init__.py
aiologger/filters.py
aiologger/levels.py
aiologger/logger.py
aiologger/protocols.py
aiologger/records.py
aiologger/settings.py
aiologger/utils.py
aiologger.egg-info/PKG-INFO
aiologger.egg-info/SOURCES.txt
aiologger.egg-info/dependency_links.txt
aiologger.egg-info/requires.txt
aiologger.egg-info/top_level.txt
aiologger/formatters/__init__.py
aiologger/formatters/base.py
aiologger/formatters/json.py
aiologger/handlers/__init__.py
aiologger/handlers/base.py
aiologger/handlers/files.py
aiologger/handlers/streams.py
aiologger/loggers/__init__.py
aiologger/loggers/json.py

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../aiologger/__init__.py
../aiologger/__pycache__/__init__.cpython-38.pyc
../aiologger/__pycache__/filters.cpython-38.pyc
../aiologger/__pycache__/levels.cpython-38.pyc
../aiologger/__pycache__/logger.cpython-38.pyc
../aiologger/__pycache__/protocols.cpython-38.pyc
../aiologger/__pycache__/records.cpython-38.pyc
../aiologger/__pycache__/settings.cpython-38.pyc
../aiologger/__pycache__/utils.cpython-38.pyc
../aiologger/filters.py
../aiologger/formatters/__init__.py
../aiologger/formatters/__pycache__/__init__.cpython-38.pyc
../aiologger/formatters/__pycache__/base.cpython-38.pyc
../aiologger/formatters/__pycache__/json.cpython-38.pyc
../aiologger/formatters/base.py
../aiologger/formatters/json.py
../aiologger/handlers/__init__.py
../aiologger/handlers/__pycache__/__init__.cpython-38.pyc
../aiologger/handlers/__pycache__/base.cpython-38.pyc
../aiologger/handlers/__pycache__/files.cpython-38.pyc
../aiologger/handlers/__pycache__/streams.cpython-38.pyc
../aiologger/handlers/base.py
../aiologger/handlers/files.py
../aiologger/handlers/streams.py
../aiologger/levels.py
../aiologger/logger.py
../aiologger/loggers/__init__.py
../aiologger/loggers/__pycache__/__init__.cpython-38.pyc
../aiologger/loggers/__pycache__/json.cpython-38.pyc
../aiologger/loggers/json.py
../aiologger/protocols.py
../aiologger/records.py
../aiologger/settings.py
../aiologger/utils.py
PKG-INFO
SOURCES.txt
dependency_links.txt
requires.txt
top_level.txt

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aiofiles==0.4.0

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# The following code and documentation was inspired, and in some cases
# copied and modified, from the work of Vinay Sajip and contributors
# on cpython's logging package
from abc import ABC
from typing import List, Callable, Union
from aiologger.levels import LogLevel
from aiologger.records import LogRecord
class Filter:
"""
Filter instances are used to perform arbitrary filtering of LogRecords.
Loggers and Handlers can optionally use Filter instances to filter
records as desired. The base filter class only allows events which are
below a certain point in the logger hierarchy. For example, a filter
initialized with "A.B" will allow events logged by loggers "A.B",
"A.B.C", "A.B.C.D", "A.B.D" etc. but not "A.BB", "B.A.B" etc. If
initialized with the empty string, all events are passed.
"""
def __init__(self, name: str = "") -> None:
"""
Initialize a filter.
Initialize with the name of the logger which, together with its
children, will have its events allowed through the filter. If no
name is specified, allow every event.
"""
self.name = name
self.name_length = len(name)
def filter(self, record: LogRecord) -> bool:
"""
Determine if the specified record is to be logged.
"""
if self.name_length == 0:
return True
elif self.name == record.name:
return True
elif not record.name.startswith(self.name):
return False
return record.name[self.name_length] == "."
def __call__(self, record: LogRecord) -> bool:
return self.filter(record)
_FilterCallable = Callable[[LogRecord], bool]
class Filterer(ABC):
"""
A base class for loggers and handlers which allows them to share
common code.
"""
def __init__(self):
"""
Initialize the list of filters to be an empty list.
"""
self.filters: List[Union[Filter, _FilterCallable]] = []
def add_filter(self, filter: Filter):
"""
Add the specified filter to this handler.
"""
if not (filter in self.filters):
self.filters.append(filter)
def remove_filter(self, filter: Filter):
"""
Remove the specified filter from this handler.
"""
if filter in self.filters:
self.filters.remove(filter)
def filter(self, record: LogRecord) -> bool:
"""
Determine if a record is loggable by consulting all the filters.
The default is to allow the record to be logged; any filter can veto
this and the record is then dropped. Returns a zero value if a record
is to be dropped, else non-zero.
"""
for filter in self.filters:
result = filter(record)
if not result:
return False
return True
class StdoutFilter(Filter):
_levels = (LogLevel.DEBUG, LogLevel.INFO)
def filter(self, record: LogRecord) -> bool:
return record.levelno in self._levels

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import enum
import io
import time
import traceback
from string import Template
from typing import Union, List
from types import TracebackType
from aiologger.records import LogRecord, ExceptionInfo
class FormatStyles(str, enum.Enum):
PERCENT = "%"
STRING_TEMPLATE = "$"
STRING_FORMAT = "{"
class PercentStyle:
default_format = "%(message)s"
asctime_format = "%(asctime)s"
asctime_search = "%(asctime)"
def __init__(self, fmt: str = None) -> None:
self._fmt = fmt or self.default_format
self.uses_time = self._fmt.find(self.asctime_search) >= 0
def format(self, record: LogRecord) -> str:
return self._fmt % record.__dict__
class StrFormatStyle(PercentStyle):
default_format = "{message}"
asctime_format = "{asctime}"
asctime_search = "{asctime"
def format(self, record: LogRecord) -> str:
return self._fmt.format(**record.__dict__)
class StringTemplateStyle(PercentStyle):
default_format = "${message}"
asctime_format = "${asctime}"
asctime_search = "${asctime}"
def __init__(self, fmt: str = None) -> None:
self._fmt = fmt or self.default_format
self._template = Template(self._fmt)
self.uses_time = (
self._fmt.find("$asctime") >= 0
or self._fmt.find(self.asctime_format) >= 0
)
def format(self, record: LogRecord) -> str:
return self._template.substitute(**record.__dict__)
BASIC_FORMAT = "%(levelname)s:%(name)s:%(message)s"
_STYLES = {
"%": (PercentStyle, BASIC_FORMAT),
"{": (StrFormatStyle, "{levelname}:{name}:{message}"),
"$": (StringTemplateStyle, "${levelname}:${name}:${message}"),
}
class Formatter:
"""
Formatter instances are used to convert a ExtendedLogRecord to text.
Formatters need to know how a ExtendedLogRecord is constructed. They are
responsible for converting a ExtendedLogRecord to (usually) a string which can
be interpreted by either a human or an external system. The base Formatter
allows a formatting string to be specified. If none is supplied, the
default value of "%s(message)" is used.
The Formatter can be initialized with a format string which makes use of
knowledge of the ExtendedLogRecord attributes - e.g. the default value mentioned
above makes use of the fact that the user's message and arguments are pre-
formatted into a ExtendedLogRecord's message attribute. Currently, the useful
attributes in a ExtendedLogRecord are described by:
%(name)s Name of the logger (logging channel)
%(levelno)s Numeric logging level for the message (DEBUG, INFO,
WARNING, ERROR, CRITICAL)
%(levelname)s Text logging level for the message ("DEBUG", "INFO",
"WARNING", "ERROR", "CRITICAL")
%(pathname)s Full pathname of the source file where the logging
call was issued (if available)
%(filename)s Filename portion of pathname
%(module)s Module (name portion of filename)
%(lineno)d Source line number where the logging call was issued
(if available)
%(funcName)s Function name
%(created)f Time when the ExtendedLogRecord was created (time.time()
return value)
%(asctime)s Textual time when the ExtendedLogRecord was created
%(msecs)d Millisecond portion of the creation time
%(relativeCreated)d Time in milliseconds when the ExtendedLogRecord was created,
relative to the time the logging module was loaded
(typically at application startup time)
%(thread)d Thread ID (if available)
%(threadName)s Thread name (if available)
%(process)d Process ID (if available)
%(message)s The result of record.get_message(), computed just as
the record is emitted
"""
default_time_format = "%Y-%m-%d %H:%M:%S"
default_msec_format = "%s,%03d"
terminator = "\n"
def __init__(
self,
fmt: str = None,
datefmt: str = None,
style: Union[str, FormatStyles] = "%",
) -> None:
"""
Initialize the formatter with specified format strings.
Initialize the formatter either with the specified format string, or a
default as described above. Allow for specialized date formatting with
the optional datefmt argument. If datefmt is omitted, you get an
ISO8601-like (or RFC 3339-like) format.
Use a style parameter of '%', '{' or '$' to specify that you want to
use one of %-formatting, :meth:`str.format` (``{}``) formatting or
:class:`string.Template` formatting in your format string.
.. versionchanged:: 3.2
Added the ``style`` parameter.
"""
if style not in _STYLES:
valid_styles = ",".join(_STYLES.keys())
raise ValueError(f"Style must be one of: {valid_styles}")
self._style = _STYLES[style][0](fmt)
self._fmt = self._style._fmt
self.datefmt = datefmt
self.converter = time.localtime
def format_time(self, record: LogRecord, datefmt: str = None) -> str:
"""
Return the creation time of the specified ExtendedLogRecord as formatted text.
This method should be called from format() by a formatter which
wants to make use of a formatted time. This method can be overridden
in formatters to provide for any specific requirement, but the
basic behaviour is as follows: if datefmt (a string) is specified,
it is used with time.strftime() to format the creation time of the
record. Otherwise, an ISO8601-like (or RFC 3339-like) format is used.
The resulting string is returned. This function uses a user-configurable
function to convert the creation time to a tuple. By default,
time.localtime() is used; to change this for a particular formatter
instance, set the 'converter' attribute to a function with the same
signature as time.localtime() or time.gmtime(). To change it for all
formatters, for example if you want all logging times to be shown in GMT,
set the 'converter' attribute in the Formatter class.
"""
ct = self.converter(record.created)
if datefmt:
return time.strftime(datefmt, ct)
else:
t = time.strftime(self.default_time_format, ct)
return self.default_msec_format % (t, record.msecs)
def format_exception(self, exception_info: ExceptionInfo) -> str:
"""
Format and return the specified exception information as a string.
This default implementation just uses
traceback.print_exception()
"""
string_io = io.StringIO()
tb = exception_info[2]
traceback.print_exception(
exception_info[0], exception_info[1], tb, None, string_io
)
s = string_io.getvalue()
string_io.close()
if s[-1:] == self.terminator:
s = s[:-1]
return s
def format_message(self, record: LogRecord) -> str:
return self._style.format(record)
def format_stack(self, stack_info):
"""
This method is provided as an extension point for specialized
formatting of stack information.
The input data is a string as returned from a call to
:func:`traceback.print_stack`, but with the last trailing newline
removed.
The base implementation just returns the value passed in.
"""
return stack_info
@staticmethod
def format_traceback(tb: TracebackType) -> List[str]:
formatted_tb = "".join(traceback.format_tb(tb))
return formatted_tb.strip().split("\n")
def format(self, record: LogRecord) -> str:
"""
Format the specified record as text.
The record's attribute dictionary is used as the operand to a
string formatting operation which yields the returned string.
Before formatting the dictionary, a couple of preparatory steps
are carried out. The message attribute of the record is computed
using LogRecord.get_message(). If the formatting string uses the
time (as determined by a call to usesTime(), format_time() is
called to format the event time. If there is exception information,
it is formatted using format_exception() and appended to the message.
"""
record.message = record.get_message()
if self._style.uses_time:
record.asctime = self.format_time(record, self.datefmt)
s = self.format_message(record)
if record.exc_info:
# Cache the traceback text to avoid converting it multiple times
# (it's constant anyway)
if not record.exc_text:
record.exc_text = self.format_exception(record.exc_info)
if record.exc_text:
if s[-1:] != self.terminator:
s = s + self.terminator
s = s + record.exc_text
if record.stack_info:
if s[-1:] != self.terminator:
s = s + self.terminator
s = s + self.format_stack(record.stack_info)
return s

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import json
import traceback
from datetime import datetime
from inspect import istraceback
from typing import Callable, Iterable, Union, Dict, Optional, List
from datetime import timezone
from aiologger.formatters.base import Formatter
from aiologger.levels import LEVEL_TO_NAME
from aiologger.records import LogRecord
from aiologger.utils import CallableWrapper
LOGGED_AT_FIELDNAME = "logged_at"
LINE_NUMBER_FIELDNAME = "line_number"
FUNCTION_NAME_FIELDNAME = "function"
LOG_LEVEL_FIELDNAME = "level"
MSG_FIELDNAME = "msg"
FILE_PATH_FIELDNAME = "file_path"
class JsonFormatter(Formatter):
def __init__(
self,
serializer: Callable[..., str] = json.dumps,
default_msg_fieldname: str = None,
) -> None:
super(JsonFormatter, self).__init__()
self.serializer = serializer
self.default_msg_fieldname = default_msg_fieldname or MSG_FIELDNAME
def _default_handler(self, obj):
if isinstance(obj, datetime):
return obj.isoformat()
elif istraceback(obj):
tb = "".join(traceback.format_tb(obj))
return tb.strip().split("\n")
elif isinstance(obj, Exception):
return "Exception: %s" % repr(obj)
elif type(obj) is type:
return str(obj)
elif isinstance(obj, CallableWrapper):
return obj()
return str(obj)
def format(self, record: LogRecord) -> str:
"""
Formats a record and serializes it as a JSON str. If record message isnt
already a dict, initializes a new dict and uses `default_msg_fieldname`
as a key as the record msg as the value.
"""
msg: Union[str, dict] = record.msg
if not isinstance(msg, dict):
msg = {self.default_msg_fieldname: msg}
if record.exc_info:
msg["exc_info"] = record.exc_info
if record.exc_text:
msg["exc_text"] = record.exc_text
return self.serializer(msg, default=self._default_handler)
@classmethod
def format_error_msg(cls, record: LogRecord, exception: Exception) -> Dict:
traceback_info: Optional[List[str]]
if exception.__traceback__:
traceback_info = cls.format_traceback(exception.__traceback__)
else:
traceback_info = None
return {
"record": {
LINE_NUMBER_FIELDNAME: record.lineno,
LOG_LEVEL_FIELDNAME: record.levelname,
FILE_PATH_FIELDNAME: record.filename,
FUNCTION_NAME_FIELDNAME: record.funcName,
MSG_FIELDNAME: str(record.msg),
},
LOGGED_AT_FIELDNAME: datetime.utcnow().isoformat(),
"logger_exception": {
"type": str(type(exception)),
"exc": str(exception),
"traceback": traceback_info,
},
}
class ExtendedJsonFormatter(JsonFormatter):
level_to_name_mapping = LEVEL_TO_NAME
default_fields = frozenset(
[
LOG_LEVEL_FIELDNAME,
LOGGED_AT_FIELDNAME,
LINE_NUMBER_FIELDNAME,
FUNCTION_NAME_FIELDNAME,
FILE_PATH_FIELDNAME,
]
)
def __init__(
self,
serializer: Callable[..., str] = json.dumps,
default_msg_fieldname: str = None,
exclude_fields: Iterable[str] = None,
tz: timezone = None,
) -> None:
super(ExtendedJsonFormatter, self).__init__(
serializer=serializer, default_msg_fieldname=default_msg_fieldname
)
self.tz = tz
if exclude_fields is None:
self.log_fields = self.default_fields
else:
self.log_fields = self.default_fields - set(exclude_fields)
def formatter_fields_for_record(self, record: LogRecord):
"""
:type record: aiologger.records.ExtendedLogRecord
"""
datetime_serialized = (
datetime.now(timezone.utc).astimezone(self.tz).isoformat()
)
default_fields = (
(LOGGED_AT_FIELDNAME, datetime_serialized),
(LINE_NUMBER_FIELDNAME, record.lineno),
(FUNCTION_NAME_FIELDNAME, record.funcName),
(LOG_LEVEL_FIELDNAME, self.level_to_name_mapping[record.levelno]),
(FILE_PATH_FIELDNAME, record.pathname),
)
for field, value in default_fields:
if field in self.log_fields:
yield field, value
def format(self, record) -> str:
"""
:type record: aiologger.records.ExtendedLogRecord
"""
msg = dict(self.formatter_fields_for_record(record))
if record.flatten and isinstance(record.msg, dict):
msg.update(record.msg)
else:
msg[MSG_FIELDNAME] = record.msg
if record.extra:
msg.update(record.extra)
if record.exc_info:
msg["exc_info"] = record.exc_info
if record.exc_text:
msg["exc_text"] = record.exc_text
return self.serializer(
msg, default=self._default_handler, **record.serializer_kwargs
)

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import abc
import asyncio
import json
import sys
from asyncio import AbstractEventLoop
from typing import Optional, Union
from aiologger import settings
from aiologger.utils import loop_compat
from aiologger.filters import Filterer
from aiologger.formatters.base import Formatter
from aiologger.formatters.json import JsonFormatter
from aiologger.levels import LogLevel, get_level_name, check_level
from aiologger.records import LogRecord
# Handler relies on any formatter
_default_formatter = Formatter()
@loop_compat
class Handler(Filterer):
"""
Handler instances dispatch logging events to specific destinations.
The base handler class. Acts as a placeholder which defines the Handler
interface. Handlers can optionally use Formatter instances to format
records as desired. By default, no formatter is specified; in this case,
the 'raw' message as determined by record.message is logged.
"""
def __init__(self, level: LogLevel = LogLevel.NOTSET) -> None:
"""
Initializes the instance - basically setting the formatter to None
and the filter list to empty.
"""
Filterer.__init__(self)
self._level = check_level(level)
self.formatter: Formatter = _default_formatter
@property
@abc.abstractmethod
def initialized(self):
raise NotImplementedError()
@property
def level(self):
return self._level
@level.setter
def level(self, value: Union[str, int, LogLevel]):
"""
Set the logging level of this handler.
"""
self._level = check_level(value)
@abc.abstractmethod
async def emit(self, record: LogRecord) -> None:
"""
Do whatever it takes to actually log the specified logging record.
This version is intended to be implemented by subclasses and so
raises a NotImplementedError.
"""
raise NotImplementedError(
"emit must be implemented by Handler subclasses"
)
async def handle(self, record: LogRecord) -> bool:
"""
Conditionally emit the specified logging record.
Emission depends on filters which may have been added to the handler.
Returns whether the filter passed the record for emission.
"""
rv = self.filter(record)
if rv:
await self.emit(record)
return rv
async def flush(self) -> None:
"""
Ensure all logging output has been flushed.
This version does nothing and is intended to be implemented by
subclasses.
"""
pass
@abc.abstractmethod
async def close(self) -> None:
"""
Tidy up any resources used by the handler.
This version removes the handler from an internal map of handlers,
_handlers, which is used for handler lookup by name. Subclasses
should ensure that this gets called from overridden close()
methods.
"""
raise NotImplementedError(
"close must be implemented by Handler subclasses"
)
async def handle_error(
self, record: LogRecord, exception: Exception
) -> None:
"""
Handle errors which occur during an emit() call.
This method should be called from handlers when an exception is
encountered during an emit() call. This is what is mostly wanted
for a logging system - most users will not care about errors in
the logging system, they are more interested in application errors.
You could, however, replace this with a custom handler if you wish.
The record which was being processed is passed in to this method.
"""
if not settings.HANDLE_ERROR_FALLBACK_ENABLED:
return
msg = JsonFormatter.format_error_msg(record, exception)
json.dump(msg, sys.stderr)
sys.stderr.write("\n")
def __repr__(self):
level = get_level_name(self.level)
return f"<${self.__class__.__name__} (${level})>"

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