Python Parsers

This page should apply to all geodashboard projects.

Parsers built for GLTG

Repositories

The legacy repository for GLTG parsers is located in https://opensource.ncsa.illinois.edu/bitbucket/projects/GEOD/repos/gltg-parsers-py/browse.  Some of the parser sources have been updated recently and some of them have not been touched for years.

These should be migrated to https://opensource.ncsa.illinois.edu/bitbucket/projects/GEOD/repos/pygeotemporal-parsers/browse on update

Overview of GLTG parsers

• cronjobs
  • get greon data from gltg.ncsa.illinois.edu:/var/opt/CampbellSci/loggernet_ordered
    • runs in as marcuss user (this can be changed but for now it is due to permissions on loggernet on gltg)

    • /home/marcuss/get_greon_data.sh

      • uses rsync to pull data to /home/marcuss/data/greon/ then copies to/home/parsers/greon-data/

  • parsers
    • 4 lines for 4 systems

General processes that take significant time

• updating sensor statistics - required at end of parsing to update start and end times https://opensource.ncsa.illinois.edu/bitbucket/projects/GEOD/repos/pygeotemporal/browse/pygeotemporal/sensors.py#239 
  • maybe it does more but not sure
  • maybe the query can be simplified

System Parsing Times

Here the each source parses the data then waits for the subprocess that bins the data until finished.  When the binning finishes, the the next source parser starts.  No timeout between parsers.

• gltg-dev
  • resources
    • nebula, postgres (4 CPU, 8G RAM)
  • times by source 
    • greon .5h
    • iwqis 1h
    • usgs ~1.5h (estimate as USGS is having some latency issues)