incubator-airflow/setup.py

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Python
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# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""Setup for the Airflow library."""
import importlib
import io
import logging
import os
import subprocess
import sys
import unittest
from typing import List
from setuptools import setup, find_packages, Command
logger = logging.getLogger(__name__)
# Kept manually in sync with airflow.__version__
# noinspection PyUnresolvedReferences
spec = importlib.util.spec_from_file_location("airflow.version", os.path.join('airflow', 'version.py'))
# noinspection PyUnresolvedReferences
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
version = mod.version
PY3 = sys.version_info[0] == 3
# noinspection PyUnboundLocalVariable
try:
with io.open('README.md', encoding='utf-8') as f:
long_description = f.read()
except FileNotFoundError:
long_description = ''
def airflow_test_suite():
"""Test suite for Airflow tests"""
test_loader = unittest.TestLoader()
test_suite = test_loader.discover('tests', pattern='test_*.py')
return test_suite
class CleanCommand(Command):
"""
Command to tidy up the project root.
Registered as cmdclass in setup() so it can be called with ``python setup.py extra_clean``.
"""
description = "Tidy up the project root"
user_options = [] # type: List[str]
def initialize_options(self):
"""Set default values for options."""
def finalize_options(self):
"""Set final values for options."""
# noinspection PyMethodMayBeStatic
def run(self):
"""Run command to remove temporary files and directories."""
os.system('rm -vrf ./build ./dist ./*.pyc ./*.tgz ./*.egg-info')
class CompileAssets(Command):
"""
Compile and build the frontend assets using npm and webpack.
Registered as cmdclass in setup() so it can be called with ``python setup.py compile_assets``.
"""
description = "Compile and build the frontend assets"
user_options = [] # type: List[str]
def initialize_options(self):
"""Set default values for options."""
def finalize_options(self):
"""Set final values for options."""
# noinspection PyMethodMayBeStatic
def run(self):
"""Run a command to compile and build assets."""
subprocess.call('./airflow/www/compile_assets.sh')
def git_version(version_: str) -> str:
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"""
Return a version to identify the state of the underlying git repo. The version will
indicate whether the head of the current git-backed working directory is tied to a
release tag or not : it will indicate the former with a 'release:{version}' prefix
and the latter with a 'dev0' prefix. Following the prefix will be a sha of the current
branch head. Finally, a "dirty" suffix is appended to indicate that uncommitted
changes are present.
:param str version_: Semver version
:return: Found Airflow version in Git repo
:rtype: str
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"""
try:
import git
try:
repo = git.Repo('.git')
except git.NoSuchPathError:
logger.warning('.git directory not found: Cannot compute the git version')
return ''
except ImportError:
logger.warning('gitpython not found: Cannot compute the git version.')
return ''
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if repo:
sha = repo.head.commit.hexsha
if repo.is_dirty():
return '.dev0+{sha}.dirty'.format(sha=sha)
# commit is clean
return '.release:{version}+{sha}'.format(version=version_, sha=sha)
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else:
return 'no_git_version'
def write_version(filename: str = os.path.join(*["airflow", "git_version"])):
"""
Write the Semver version + git hash to file, e.g. ".dev0+2f635dc265e78db6708f59f68e8009abb92c1e65".
:param str filename: Destination file to write
"""
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text = "{}".format(git_version(version))
with open(filename, 'w') as file:
file.write(text)
async_packages = [
'greenlet>=0.4.9',
'eventlet>= 0.9.7',
'gevent>=0.13'
]
atlas = ['atlasclient>=0.1.2']
aws = [
'boto3>=1.7.0, <1.8.0',
]
azure = [
'azure-storage>=0.34.0',
'azure-mgmt-resource>=2.2.0',
'azure-mgmt-datalake-store>=0.5.0',
'azure-datalake-store>=0.0.45',
'azure-cosmos>=3.0.1',
'azure-mgmt-containerinstance>=1.5.0',
[AIRFLOW-2420] Azure Data Lake Hook Add AzureDataLakeHook as a first step to enable Airflow connect to Azure Data Lake. The hook has a simple interface to upload and download files with all parameters available in Azure Data Lake sdk and also a check_for_file to query if a file exists in data lake. [AIRFLOW-2420] Add functionality for Azure Data Lake Make sure you have checked _all_ steps below. ### JIRA - [x] My PR addresses the following [Airflow JIRA] (https://issues.apache.org/jira/browse/AIRFLOW-242 0) issues and references them in the PR title. - https://issues.apache.org/jira/browse/AIRFLOW-2420 ### Description - [x] Here are some details about my PR, including screenshots of any UI changes: This PR creates Azure Data Lake hook (adl_hook.AdlHook) and all the setup required to create a new Azure Data Lake connection. ### Tests - [x] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason: Adds tests to airflow.hooks.adl_hook.py in tests.hooks.test_adl_hook.py ### Commits - [x] My commits all reference JIRA issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git- commit/)": 1. Subject is separated from body by a blank line 2. Subject is limited to 50 characters 3. Subject does not end with a period 4. Subject uses the imperative mood ("add", not "adding") 5. Body wraps at 72 characters 6. Body explains "what" and "why", not "how" ### Documentation - [x] In case of new functionality, my PR adds documentation that describes how to use it. - When adding new operators/hooks/sensors, the autoclass documentation generation needs to be added. ### Code Quality - [x] Passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Closes #3333 from marcusrehm/master
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]
cassandra = ['cassandra-driver>=3.13.0']
celery = [
'celery~=4.3',
'flower>=0.7.3, <1.0',
'tornado>=4.2.0, <6.0', # Dep of flower. Pin to a version that works on Py3.5.2
]
cgroups = [
'cgroupspy>=0.1.4',
]
cloudant = ['cloudant>=2.0']
crypto = ['cryptography>=0.9.3']
dask = [
'distributed>=1.17.1, <2'
]
databricks = ['requests>=2.20.0, <3']
datadog = ['datadog>=0.14.0']
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doc = [
'sphinx-argparse>=0.1.13',
'sphinx-autoapi==1.0.0',
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'sphinx-rtd-theme>=0.1.6',
'sphinx>=2.1.2',
'sphinxcontrib-httpdomain>=1.7.0',
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]
docker = ['docker~=3.0']
druid = ['pydruid>=0.4.1']
elasticsearch = [
'elasticsearch>=5.0.0,<6.0.0',
'elasticsearch-dsl>=5.0.0,<6.0.0'
]
gcp = [
'google-api-python-client>=1.6.0, <2.0.0dev',
'google-auth-httplib2>=0.0.1',
'google-auth>=1.0.0, <2.0.0dev',
'google-cloud-bigtable==0.33.0',
'google-cloud-container>=0.1.1',
'google-cloud-dlp>=0.11.0',
'google-cloud-language>=1.1.1',
'google-cloud-spanner>=1.9.0, <1.10.0',
'google-cloud-storage~=1.16',
'google-cloud-translate>=1.5.0',
'google-cloud-videointelligence>=1.7.0',
'google-cloud-vision>=0.35.2',
'google-cloud-tasks==1.1.0',
'google-cloud-texttospeech>=0.4.0',
'google-cloud-speech>=0.36.3',
'grpcio-gcp>=0.2.2',
'httplib2~=0.9.2',
'pandas-gbq',
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'PyOpenSSL',
]
grpc = ['grpcio>=1.15.0']
flask_oauth = [
'Flask-OAuthlib>=0.9.1',
'oauthlib!=2.0.3,!=2.0.4,!=2.0.5,<3.0.0,>=1.1.2',
'requests-oauthlib==1.1.0'
]
hdfs = ['snakebite>=2.7.8']
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hive = [
'hmsclient>=0.1.0',
'pyhive>=0.6.0',
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]
jdbc = ['jaydebeapi>=1.1.1']
jenkins = ['python-jenkins>=1.0.0']
jira = ['JIRA>1.0.7']
kerberos = ['pykerberos>=1.1.13',
'requests_kerberos>=0.10.0',
'thrift_sasl>=0.2.0',
'snakebite[kerberos]>=2.7.8']
kubernetes = ['kubernetes>=3.0.0',
'cryptography>=2.0.0']
ldap = ['ldap3>=2.5.1']
mssql = ['pymssql>=2.1.1']
mysql = ['mysqlclient>=1.3.6,<1.4']
oracle = ['cx_Oracle>=5.1.2']
papermill = ['papermill[all]>=1.0.0',
'nteract-scrapbook[all]>=0.2.1']
password = [
'bcrypt>=2.0.0',
'flask-bcrypt>=0.7.1',
]
pinot = ['pinotdb==0.1.1']
postgres = ['psycopg2>=2.7.4,<2.8']
qds = ['qds-sdk>=1.10.4']
rabbitmq = ['librabbitmq>=1.6.1']
redis = ['redis~=3.2']
salesforce = ['simple-salesforce>=0.72']
samba = ['pysmbclient>=0.1.3']
segment = ['analytics-python>=1.2.9']
sendgrid = ['sendgrid>=5.2.0,<6']
slack = ['slackclient>=1.0.0,<2.0.0']
mongo = ['pymongo>=3.6.0', 'dnspython>=1.13.0,<2.0.0']
snowflake = ['snowflake-connector-python>=1.5.2',
'snowflake-sqlalchemy>=1.1.0']
ssh = ['paramiko>=2.1.1', 'pysftp>=0.2.9', 'sshtunnel>=0.1.4,<0.2']
statsd = ['statsd>=3.0.1, <4.0']
vertica = ['vertica-python>=0.5.1']
virtualenv = ['virtualenv']
webhdfs = ['hdfs[dataframe,avro,kerberos]>=2.0.4']
winrm = ['pywinrm==0.2.2']
zendesk = ['zdesk']
all_dbs = postgres + mysql + hive + mssql + hdfs + vertica + cloudant + druid + pinot + cassandra + mongo
devel = [
'beautifulsoup4~=4.7.1',
'click==6.7',
'flake8>=3.6.0',
'flake8-colors',
'freezegun',
'ipdb',
'jira',
'mongomock',
'moto==1.3.5',
'nose',
'nose-ignore-docstring==0.2',
'nose-timer',
'parameterized',
'paramiko',
'pre-commit',
'pylint~=2.3.1',
'pysftp',
'pywinrm',
'qds-sdk>=1.9.6',
'rednose',
'requests_mock',
]
if PY3:
devel += ['mypy']
else:
devel += ['unittest2']
devel_minreq = devel + kubernetes + mysql + doc + password + cgroups
devel_hadoop = devel_minreq + hive + hdfs + webhdfs + kerberos
devel_all = (sendgrid + devel + all_dbs + doc + samba + slack + crypto + oracle +
docker + ssh + kubernetes + celery + redis + gcp + grpc +
[AIRFLOW-2420] Azure Data Lake Hook Add AzureDataLakeHook as a first step to enable Airflow connect to Azure Data Lake. The hook has a simple interface to upload and download files with all parameters available in Azure Data Lake sdk and also a check_for_file to query if a file exists in data lake. [AIRFLOW-2420] Add functionality for Azure Data Lake Make sure you have checked _all_ steps below. ### JIRA - [x] My PR addresses the following [Airflow JIRA] (https://issues.apache.org/jira/browse/AIRFLOW-242 0) issues and references them in the PR title. - https://issues.apache.org/jira/browse/AIRFLOW-2420 ### Description - [x] Here are some details about my PR, including screenshots of any UI changes: This PR creates Azure Data Lake hook (adl_hook.AdlHook) and all the setup required to create a new Azure Data Lake connection. ### Tests - [x] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason: Adds tests to airflow.hooks.adl_hook.py in tests.hooks.test_adl_hook.py ### Commits - [x] My commits all reference JIRA issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git- commit/)": 1. Subject is separated from body by a blank line 2. Subject is limited to 50 characters 3. Subject does not end with a period 4. Subject uses the imperative mood ("add", not "adding") 5. Body wraps at 72 characters 6. Body explains "what" and "why", not "how" ### Documentation - [x] In case of new functionality, my PR adds documentation that describes how to use it. - When adding new operators/hooks/sensors, the autoclass documentation generation needs to be added. ### Code Quality - [x] Passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Closes #3333 from marcusrehm/master
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datadog + zendesk + jdbc + ldap + kerberos + password + webhdfs + jenkins +
druid + pinot + segment + snowflake + elasticsearch +
atlas + azure + aws + salesforce + cgroups + papermill + virtualenv)
# Snakebite & Google Cloud Dataflow are not Python 3 compatible :'(
if PY3:
devel_ci = [package for package in devel_all if package not in
['snakebite>=2.7.8', 'snakebite[kerberos]>=2.7.8']]
else:
devel_ci = devel_all
def do_setup():
"""Perform the Airflow package setup."""
write_version()
setup(
name='apache-airflow',
description='Programmatically author, schedule and monitor data pipelines',
long_description=long_description,
long_description_content_type='text/markdown',
license='Apache License 2.0',
version=version,
packages=find_packages(exclude=['tests*']),
package_data={'': ['airflow/alembic.ini', "airflow/git_version"]},
include_package_data=True,
zip_safe=False,
scripts=['airflow/bin/airflow'],
install_requires=[
'alembic>=1.0, <2.0',
'argcomplete~=1.10',
'cached_property~=1.5',
'colorlog==4.0.2',
'croniter>=0.3.17, <0.4',
'dill>=0.2.2, <0.3',
'dumb-init>=1.2.2',
'flask>=1.1.0, <2.0',
'flask-appbuilder>=1.12.5, <2.0.0',
'flask-caching>=1.3.3, <1.4.0',
'flask-login>=0.3, <0.5',
'flask-swagger==0.2.13',
'flask-wtf>=0.14.2, <0.15',
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'funcsigs==1.0.0',
'gunicorn>=19.5.0, <20.0',
'iso8601>=0.1.12',
'json-merge-patch==0.2',
'jinja2>=2.10.1, <2.11.0',
'lazy_object_proxy~=1.3',
'markdown>=2.5.2, <3.0',
'pandas>=0.17.1, <1.0.0',
'pendulum==1.4.4',
'psutil>=4.2.0, <6.0.0',
'pygments>=2.0.1, <3.0',
'python-daemon>=2.1.1, <2.2',
'python-dateutil>=2.3, <3',
'requests>=2.20.0, <3',
'setproctitle>=1.1.8, <2',
'sqlalchemy~=1.3',
'tabulate>=0.7.5, <0.9',
'tenacity==4.12.0',
'termcolor==1.1.0',
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'text-unidecode==1.2',
'typing;python_version<"3.5"',
'thrift>=0.9.2',
'tzlocal>=1.4,<2.0.0',
'unicodecsv>=0.14.1',
'zope.deprecation>=4.0, <5.0',
'typing-extensions>=3.7.4;python_version<"3.7"',
],
setup_requires=[
'docutils>=0.14, <1.0',
'gitpython>=2.0.2',
],
extras_require={
'all': devel_all,
'devel_ci': devel_ci,
'all_dbs': all_dbs,
'atlas': atlas,
'async': async_packages,
'aws': aws,
'azure': azure,
'cassandra': cassandra,
'celery': celery,
'cgroups': cgroups,
'cloudant': cloudant,
'crypto': crypto,
'dask': dask,
'databricks': databricks,
'datadog': datadog,
'devel': devel_minreq,
'devel_hadoop': devel_hadoop,
'doc': doc,
'docker': docker,
'druid': druid,
'elasticsearch': elasticsearch,
'gcp': gcp,
'gcp_api': gcp, # TODO: remove this in Airflow 2.1
'github_enterprise': flask_oauth,
'google_auth': flask_oauth,
'grpc': grpc,
'hdfs': hdfs,
'hive': hive,
'jdbc': jdbc,
'jira': jira,
'kerberos': kerberos,
'kubernetes': kubernetes,
'ldap': ldap,
'mongo': mongo,
'mssql': mssql,
'mysql': mysql,
'oracle': oracle,
'papermill': papermill,
'password': password,
'pinot': pinot,
'postgres': postgres,
'qds': qds,
'rabbitmq': rabbitmq,
'redis': redis,
'salesforce': salesforce,
'samba': samba,
'sendgrid': sendgrid,
'segment': segment,
'slack': slack,
'snowflake': snowflake,
'ssh': ssh,
'statsd': statsd,
'vertica': vertica,
'webhdfs': webhdfs,
'winrm': winrm,
},
classifiers=[
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Environment :: Web Environment',
'Intended Audience :: Developers',
'Intended Audience :: System Administrators',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Topic :: System :: Monitoring',
],
author='Apache Software Foundation',
author_email='dev@airflow.apache.org',
url='http://airflow.apache.org/',
download_url=(
'https://dist.apache.org/repos/dist/release/airflow/' + version),
cmdclass={
'extra_clean': CleanCommand,
'compile_assets': CompileAssets
},
test_suite='setup.airflow_test_suite',
python_requires='~=3.5',
)
if __name__ == "__main__":
do_setup()