Tools for working with Astrolabe data.
Astrolabe Python Library
:Version: 0.0.20 :Author: Tom Hicks email@example.com
| This is a Python 3 library for curating image and data files for the
Astrolabe project <http://astrolabe.arizona.edu/>_
Astrolabe_py contains scripts and modules to:
- Upload FITS files to iRods,
- Extract metadata from FITS files and attach it to files in iRods,
Python Build using Conda
Building this software requires
Python 3.6+. Assuming you have
you can use it to build this project within a virtual environment::
git clone https://github.com/AstrolabeProject/astrolabe_py.git source activate conda create -n alpy python=3.6 conda activate alpy cd astrolabe_py pip install -r requirements.txt
The tests can be run manually from the
test subdirectory, as follows::
cd test python fits_ops_test.py python fits_meta_test.py python irods_help_test.py python uploader_test.py
Build a Docker Image
:TODO: Add this documentation.
Run the Uploader Script
To run a script::
Uploader Script Options::
usage: uploader [-h] [-v] [-u] [--version] [--keyfile [metadata-keyfile]] images_path
FITS file metadata extraction and upload of a file or directory of files.
positional arguments: images_path path to a FITS file or a directory of FITS files to be processed
optional arguments: -h, --help show this help message and exit -v, --verbose provide more information during execution -u, --upload-only upload files to iRods only: do not process file metadata --version show program's version number and exit --keyfile [metadata-keyfile] a file specifying which metadata keys which should be processed
uploader -v myDataDirectory uploader --upload-only myImages/someImage.fits uploader --keyfile just-these-keys.txt astrofiles
The User and API documentation is written in ReStructuredText, and can
be built using
Licensed under Apache License Version 2.0.
Copyright 2018 by Astrolabe Project: American Astronomical Society and the University of Arizona.