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Docker_HowTo.md

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Deploying and Running QuickReduce via Docker

Steps:

  • configure the container
  • build
  • run/execute Quickreduce

Configuring the container before building

There are two steps that determine the execution of QR from within the Docker container:

  • QR-specific parameters in the podi_sitesetup.py file
  • Docker-specific configuration in the docker-compose.yaml file.

The most important aspects of the Docker configuration is the volume section in the docker-compose.yaml file.

  • /some/dir1:/input mounts the local path /some/dir into the Docker container;
  • /some/dir2:/output determines where the output files will be written to. Assuming the default sitesetup configuration this directory will also receive the debug and execution log files.
  • /some/dir3:/cals holds the main calibration files (bias, dark, and flat-fields)
  • /some/dir4:/mastercal are the typically WIYN-supplied long-term calibration products including fringe and pupilghost templates.

Compiling/Building the Docker container

To build the Docker container and all its components, run

docker-compose build qr

from within the source directory. This will download the base image, install all required dependencies (python and python packages) and tools (SExtractor and Swarp). Note that the building step might take a little while.

Running QR from Docker

To execute the main QuickReduce task collectcells you can use the following command (maybe modified a bit to reflect input and output preferences).

docker-compose run qr /app/podi_collectcells.py /input/o20171027T231924.2/ /output/docker_standalone.fits -fixwcs -photcalib -cals=/cals