A Python desktop app for automated turbine data acquisition in the UNH tow tank.
A matrix of test parameters should be created and placed in the
test-plan directory inside of an experiment directory.
Each "section" of the experiment gets its own CSV file.
See example/test-plan for an
example.
The test plan, if one exists, is loaded into the GUI at startup.
To change, it must be
edited externally and reloaded.
my-experiment-name/
config/
test-plan/
top-level.csv
perf-0.8.csv
tare-drag.csv
fbg_properties.json
turbine_properties.json
data/
processed/
perf-0.8.csv
tare_drag.csv
raw/
perf-0.8/
0/
metadata.json
acsdata.h5
nidata.h5
vecdata.h5
fbgdata.h5
vecdata.vno
1/
metadata.json
acsdata.h5
fbgdata.h5
nidata.h5
vecdata.h5
vecdata.vno
tare-drag/
0/
metadata.json
acsdata.h5
nidata.h5
In the runtypes module, there are classes to represent each type of run:
TurbineTowTareDragRunTareTorqueRun
Each of these subclass PyQt's QThread. For future experiments,
there will likely be
a TurbineTowInWaves or options in TurbineTow for wave generation with
makewaves.
To get started, install a Python distribution that includes Conda or Mamba.
Miniforge is a good choice.
Next, create the turbinedaq conda environment with conda env create or
mamba env create.
Additional useful dev dependencies can be installed with
pip install isort black.
Next, install the turbinedaq package in editable mode with
pip install -e ..
The app can be run by running turbinedaq from the command line.
Note that the turbinedaq environment should be activated before installation
or running with conda activate turbinedaq.