pwspy-gui 0.1.14
A collection of GUIs providing users with easy access to PWS data analysis.
Requires Python: >=3.7,<3.10

# PWSpy_gui
A collection of GUIs providing users with easy access to the pwspy library. The main application provided by this package is the PWS Analysis application. You can find a tutorial on using PWS Analysis [here](https://nanthony21.github.io/AnalysisIntroduction/demo.html)  

![alt text](docs/Picture1.png)


## Installation
The first step in installation is to install [Anaconda](https://www.anaconda.com/products/individual) on your computer. Once installation
is completed you will be able to install `PWSpy_gui` by typing commands into the terminal. On Mac and Linux you can use the standard terminal, on Windows you
should open "Anaconda Prompt".
It is advisable to install `PWSpy_gui` into its own "environment" to avoid dependency conflicts. 
Create a new environment with the command: `conda create -n {environmentName} python=3.8`. You can then make the new environment active in your terminal with `conda activate {environmentName}`.

More information [here](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html).

#### Installing from Anaconda Cloud (recommended)
`PWSpy_gui` is stored online on the "backmanlab" Anaconda Cloud channel. It can be installed from Conda with the command `conda install -c conda-forge -c backmanlab pwspy_gui`

#### Installing Manually
If you have the built package (.tar.gz file) then you can install the package by pointing `conda install` to it.
Install the package with `conda install -c file:///{tarGzFileDestination} -c conda-forge pwspy_gui`.

#### First time startup
While the `pwspy_gui` package has many facets one of the major components is the "PWS Analysis App" GUI which is used to analyze PWS data.
There are multiple ways that you can run this application:  

1. On Windows a `PWS Analysis` shortcut should appear in your Start Menu under
the `Anaconda` category  

2. Type `PWSAnalysis` into the command prompt for the Conda environment
that `pwspy_gui` is installed in.  

3. In `Anaconda-Navigator` an app named `pwspy_gui` should appear. On Windows a program called `PWSAnalysis` should appear in the start menu. 

The first time you run the GUI on a computer you will
need to sign into the Google Drive database where calibration data is stored.

 
## Building from source and distributing

#### Setting up your computer to build the source code.
First you will need the `Conda` package manager. If you have installed Anaconda then Conda is included.
On Windows you will need to use the `Anaconda Prompt` rather than the default Windows `Command Prompt`.
In addition you will need:  
 - conda-build
 - anaconda-client  
 - setuptools_scm
 
 These can be installed with the following command `conda install conda-build anaconda-client gitpython`  

#### Automatic Method (Recommended):
Use the python in your `base` anaconda environment to run `python installScripts\build.py`.
The output will default to `buildscripts/conda/build`. You can optionally provide a custom
output path as the first argument to the `build.py` script. There will be many
files here but the most important one is `build/noarch/pwspy_gui_xxxxxxxxxx.tar.gz`.
This will update the module version in the `_version` file and run the conda-build and deploy steps.
The version number can be understood as `a.b.c.d-xyz` where `a.b.c` are numbers set manually with a Git `Tag`, `d` is the number of commits since 
`a.b.c` was tagged, `xyz` is the short sha hash for the git commit.

#### Uploading a newly built version of the package to Anaconda Cloud
The lab has a `Cloud` account at anaconda.org. The username is `backmanlab` and the password is `UNKNOWN!!!!` (do not put the password here, this git repository is publically available, we prefer not to get hacked).
You can upload the package to the lab's Anaconda Cloud account using `anaconda login` to log into the account and then with `anaconda upload build/noarch/pwspy_gui_xxxxxxxxxx.tar.gz`