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Calibration Reference Data System, HST/JWST reference file management

Project description

CRDS is a package used for working with astronomical reference files for the HST and JWST telescopes. CRDS is useful for performing various operations on reference files or reference file assignment rules. CRDS is used to assign, check, and compare reference files and rules, and also to predict those datasets which should potentially be reprocessed due to changes in reference files or assignment rules. CRDS has versioned rules which define the assignment of references for each type and instrument configuration. CRDS has web sites corresponding to each project (http://hst-crds.stsci.edu or https://jwst-crds.stsci.edu/) which record information about reference files and provide related services.

CRDS development is occuring at:

Project’s github page.

CRDS is also available for installation as part of AstroConda Contrib:

AstroConda Contrib.

Basic CRDS Installation

For many applications CRDS is automatically installed as a dependency of the calibration software. This default installation supports running calibrations but not more advanced CRDS activities like submitting files or development. You can test for the installation of CRDS like this:

$ crds list --status
CRDS Version = '7.4.0, b7.4.0, daf308e24c8dd37e70c89012e464058861417245'
CRDS_MODE = 'auto'
CRDS_PATH = 'undefined'
CRDS_SERVER_URL = 'undefined'
Cache Locking = 'enabled, multiprocessing'
Effective Context = 'jwst_0541.pmap'
Last Synced = '2019-08-26 07:30:09.254136'
Python Executable = '/Users/homer/miniconda3/envs/crds-env/bin/python'
Python Version = '3.7.4.final.0'
Readonly Cache = False

This output indicates CRDS is installed and configured for processing onsite using a pre-built cache of CRDS rules and references at /grp/crds/cache.

Full Environment Install

While the Advanced Installation instructions below detail the installation of a complete CRDS evironment, you may find it more convenient to clone CRDS from github and run the crds_setup_env script which performs the same steps:

git clone https://github.com/spacetelescope/crds.git
cd crds
./crds_setup_env os-x  # or linux

Accept all default responses to installation script prompts.

Advanced CRDS Installation

Users performing more advanced activities like CRDS file submissions or development will need additional CRDS dependencies.

Install Conda

Typical CRDS installations are based on installing a barebones Miniconda environment and then adding most packages via pip:

if [ "$1" == "os-x" ]; then
  export CONDA_INSTALLER=Miniconda3-latest-MacOSX-x86_64.sh
elif [ "$1" == "linux" ]; then
    export CONDA_INSTALLER=Miniconda3-latest-Linux-x86_64.sh
else
    echo "usage:  crds_setup_env  [os-x|linux]"
fi
echo "Installing $CONDA_INSTALLER"

rm -rf ~/miniconda3.old
mv ~/miniconda3 ~/miniconda3.old
rm -f Miniconda3-latest-*.sh*

curl https://repo.anaconda.com/miniconda/${CONDA_INSTALLER}  >${CONDA_INSTALLER}
sh ${CONDA_INSTALLER}
rm -f ${CONDA_INSTALLER}
conda update --yes -n base -c  conda

Accept all default responses to the install script’s quesions.

Add Astroconda channel

Some CRDS dependencies are only available through the conda channel Astroconda. Configure the conda environment to use Astroconda:

conda config --add channels http://ssb.stsci.edu/astroconda

Create crds-env Environment

The CRDS software and basic conda dependencies should be installed in an isolated conda environment:

conda create -n crds-env python=3.7
conda activate crds-env

Add JWST CAL S/W and Dependencies

Installing the JWST CAL S/W will also automatically install many dendencies of a numerical computing environment:

pip install numpy
pip install git+https://github.com/spacetelescope/jwst

Install CRDS and Dependencies

This sequence first removes the CRDS installed automatically as part of installing the jwst package and then installs the latest available CRDS from github with advanced dependencies not needed for basic operation:

pip uninstall --yes crds
pip install git+https://github.com/spacetelescope/crds.git#egg=crds["submission","test","dev","docs"]
conda install --yes fitsverify

User’s Guide

More documentation about CRDS is available here:

https://jwst-crds.stsci.edu/static/users_guide/index.html

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