forked from joedurbak/photometrypipeline
-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathsetup.py
185 lines (147 loc) · 6.14 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from setuptools.command.install import install
# To use a consistent encoding
from codecs import open
from os import path
import sys
import subprocess
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
# http://stackoverflow.com/a/287944
class bcolors:
def __init__(self):
pass
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
# http://stackoverflow.com/a/4417735
def execute(cmd):
popen = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True)
for stdout_line in iter(popen.stdout.readline, ""):
yield stdout_line
popen.stdout.close()
return_code = popen.wait()
if return_code:
raise subprocess.CalledProcessError(return_code, cmd)
class CustomInstall(install):
def run(self):
try:
for execute_path in execute(['sudo', 'sh', 'depend_install.sh']):
sys.stdout.write(execute_path)
except subprocess.CalledProcessError as e:
print bcolors.FAIL + 'Failed to install the dependencies. Please try again.' + bcolors.ENDC
print e
sys.exit(1)
try:
for execute_path in execute(['sudo', 'sh', 'astromatic_install.sh']):
sys.stdout.write(execute_path)
except subprocess.CalledProcessError as e:
print bcolors.FAIL + 'Failed to install AstrOmatic software. Please try again.' + bcolors.ENDC
print e
sys.exit(1)
install.run(self)
try:
for execute_path in execute(['sudo', 'sh', 'post_install.sh']):
sys.stdout.write(execute_path)
except subprocess.CalledProcessError as e:
print bcolors.FAIL + 'Failed to complete the post installation script. Please try again.' + bcolors.ENDC
print e
sys.exit(1)
setup(
name='photopipe',
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version='0.1.0b4',
description='PhotoPipe is a pipeline for automated reduction, photometry and astrometry of imaging data ' +\
'from RATIR and RIMAS.',
long_description=long_description,
# The project's main homepage.
url='https://github.com/maxperry/photometrypipeline',
# Author details
author='maxperry, vickitoy, cenko',
author_email='[email protected]',
# Choose your license
license='GPL-3.0',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 4 - Beta',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Astronomy',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2',
# 'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
],
# What does your project relate to?
keywords='cosmology photometry reduction astrometry ratir rimas astropy',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib', 'docs', 'tests']),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
# install_requires=['numpy', 'scipy', 'matplotlib', 'pyfits'],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
# extras_require={
# 'dev': ['check-manifest'],
# 'test': ['coverage'],
# },
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
package_data={
'photopipe': [
'VERSION',
'schemas/*.json',
'photometry/defaults/*.*',
'photometry/dependencies/*.*',
'reduction/astrom/*.*',
'reduction/auto/defaults/*.*'
],
},
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={
'console_scripts': [
'photopipe=photopipe.cmdline:execute',
],
},
# http://stackoverflow.com/a/37283972
cmdclass={
'install': CustomInstall
}, install_requires=['numpy', 'astropy', 'matplotlib', 'scipy']
)