2.5. Demos: Commandline Demos

Note

Directory Strategy

To simplify the documentation, these instructions assume you have set up your directories as in Directory Setup and you are doing your processing demos in my_adcp_py3demos/adcp_pyproc

your practice directory                 source
-----------------------                -----------

my_adcp_py3demos
my_adcp_py3demos/adcp_pyproc                 (new, WORKING IN HERE)
my_adcp_py3demos/uhdas_data                  copy of adcp_py3demos/uhdas_data
my_adcp_py3demos/vmdas_data                  copy of adcp_py3demos/vmdas_data
my_adcp_py3demos/uhdas_style_data            (new, empty, for VmDAS conversion)

The 4 demos with commandline instructions are:

  1. UHDAS Single-ping: You need to reprocess UHDAS data and adcp_database_maker.py is not sufficient for some reason. For example, you need to alter a configuration file in a way that is not supported in the GUI.

  2. LTA automated: You have a large historical collection of VmDAS data LTA data and you want to quickly loop through the cruises and get a quick look at the data (to see what else needs to be done, and which cruises are worth saving).

  3. LTA manual: You want to know what is going on behind the scenes in (2)

  4. ENR manual: You have VmDAS data and need to reprocess it from single-ping files (ENR) but something isn’t working with adcp_database_maker.py

Other resources

This diagram shows the split between what happens before the data are in the CODAS database (acquisition + averaging + loading the database) and the steps that operate on the CODAS database itself (which can be repeated). The latter steps are called Post-Processing

This page shows a schematic about how CODAS processing fits with LTA and UHDAS datasets.

This detailed ascii chart shows (most of) the steps quick_adcp.py performs, the directory in which it does the work, the input files it generates, the programs it runs, and the output files it generates.