Seawolf Meta-HowTo 2023-03-22

Please check this repository out of GitHub somewhere (on Linux or MacOS the convention is into /opt/oceandatatools_local/stonybrook). Then create a symlink from stonybrook to the local subdir of the OpenRVDAS installation you want to use it with. E.g.

  ln -s /opt/oceandatatools_local/stonybrook /opt/openrvdas/local/stonybrook

Seawolf HowTo 2019-12-09

David Pablo Cohn

Installation

• Install Python v3.7 via Anaconda
• Install Git from https://git-scm.com/download/win
• Inside Anaconda CMD prompt:
  • pip install pyserial websockets PyYAML parse
  • cd
  • git clone https://github.com/oceandatatools/openrvdas.git
  • git checkout stonybrook

From there, you should be able to run the basic OpenRVDAS commands below.

   python logger\listener\listen.py --config_file local\stonybrook\seawolf.yaml:met1_on

To run with cached data server

In one terminal:

   python logger\listener\listen.py --config_file local\stonybrook\seawolf.yaml:met1_cache

In another:

   python server\cached_data_server --port 8766

Should then be able to see live met data from cached data server via:

   python logger\listener\listen.py --cached_data Met1WindDirTrue,Met1WindSpeedKt@localhost:8766

Or view the data in a demo HTML page by opening the page at display\html\seawolf_demo.html