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setup.py
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import os
import sys
import warnings
import unittest
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from setuptools.command.test import test as TestCommand
class PyTest(TestCommand):
user_options = [('pytest-args=', 'a', "Arguments to pass to pytest")]
def initialize_options(self):
TestCommand.initialize_options(self)
self.pytest_args = ''
def run_tests(self):
import shlex
# import here, cause outside the eggs aren't loaded
import pytest
errno = pytest.main(shlex.split(self.pytest_args))
sys.exit(errno)
"""
https://packaging.python.org/guides/making-a-pypi-friendly-readme/
check the README.rst works on pypi as the
long_description with:
twine check dist/*
"""
long_description = open('README.rst').read()
cur_path, cur_script = os.path.split(sys.argv[0])
os.chdir(os.path.abspath(cur_path))
requires_that_fail_on_rtd = [
'awscli',
'h5py',
'keras',
'scikit-learn',
'tables',
'ta-lib',
'tensorflow'
]
install_requires = []
cur_dir = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(
cur_dir, 'requirements.txt'), encoding='utf-8') as f:
install_requires = f.read().split()
# if not on readthedocs.io or travis ci get all the pips:
if (os.getenv('READTHEDOCS', '') == ''
and os.getenv('TRAVIS', '') == ''):
install_requires = install_requires + requires_that_fail_on_rtd
if sys.version_info < (3, 6):
warnings.warn(
'Less than Python 3.6 is not supported.',
DeprecationWarning)
def analysis_engine_test_suite():
test_loader = unittest.TestLoader()
test_suite = test_loader.discover('tests', pattern='test_*.py')
return test_suite
# Don't import analysis_engine module here, since deps may not be installed
sys.path.insert(
0,
os.path.join(
os.path.dirname(__file__),
'analysis_engine'))
setup(
name='stock-analysis-engine',
cmdclass={'test': PyTest},
version='1.9.15',
description=(
'Backtest 1000s of minute-by-minute '
'trading algorithms. Automated '
'pricing data ingestion from: '
'IEX Cloud (https://iexcloud.io), '
'Tradier (https://tradier.com) and '
'FinViz. Datasets and trading '
'performance automatically compressed and published '
'to S3 for building AI training datasets '
'for teaching DNNs how to trade. '
'Runs on Kubernetes with Helm and docker-compose. '
'>150 million trading history rows generated from +5000 algorithms'
''),
long_description=long_description,
long_description_content_type='text/x-rst',
author='Jay Johnson',
author_email='[email protected]',
url='https://github.com/AlgoTraders/stock-analysis-engine',
packages=[
'analysis_engine',
'analysis_engine.ai',
'analysis_engine.iex',
'analysis_engine.finviz',
'analysis_engine.mocks',
'analysis_engine.indicators',
'analysis_engine.log',
'analysis_engine.perf',
'analysis_engine.scripts',
'analysis_engine.td',
'analysis_engine.work_tasks',
'analysis_engine.yahoo'
],
package_data={},
install_requires=install_requires,
test_suite='setup.analysis_engine_test_suite',
tests_require=[
],
scripts=[
'analysis_engine/scripts/aws_backup.py',
'analysis_engine/scripts/backtest_with_runner.py',
'analysis_engine/scripts/fetch_new_stock_datasets.py',
'analysis_engine/scripts/inspect_datasets.py',
'analysis_engine/scripts/plot_history_from_local_file.py',
'analysis_engine/scripts/publish_from_s3_to_redis.py',
'analysis_engine/scripts/publish_ticker_aggregate_from_s3.py',
'analysis_engine/scripts/run_backtest_and_plot_history.py',
'analysis_engine/scripts/sa.py',
'analysis_engine/scripts/start_algo.py',
'analysis_engine/scripts/train_dnn_from_history.py',
'tools/backfill-minute-data.sh',
'tools/logs-dataset-collection.sh',
'tools/logs-jupyter.sh',
'tools/logs-workers.sh',
'tools/run-algo-history-to-file.sh',
'tools/run-algo-history-to-s3.sh',
'tools/run-algo-report-to-file.sh',
'tools/run-algo-report-to-s3.sh',
'tools/ssh-jupyter.sh',
'tools/ssh-workers.sh',
'tools/update-stack.sh'
],
entry_points={
'console_scripts': [
'sa = sa:run_sa_tool',
(
'fetch = fetch_new_stock_datasets'
':fetch_new_stock_datasets'),
(
'plot-history = '
'plot_history_from_local_file'
':plot_local_history_file'),
(
'bt = run_backtest_and_plot_history'
':start_backtest_with_plot_history'),
(
'ae = start_algo'
':start_algo'),
],
},
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: Implementation :: PyPy',
'Topic :: Software Development :: Libraries :: Python Modules',
])