1. Dependencies:

• python 3.11
• virtualenv: https://medium.com/analytics-vidhya/virtual-environment-6ad5d9b6af59
• git at whatever version

2. Installation:

Uninstall Windows, install Linux. Just joking...

Open Command Prompt on Windows.

git clone https://github.com/ZhaoYaniBruker/yani_poker.git
cd yani_poker
py -3.11 -m virtualenv venv_yani_poker
venv_yani_poker\Scripts\pip.exe install -r requirements.txt
venv_yani_poker\Scripts\python -m ipykernel install --user --name yani_poker

Note1: running last line twice is fully OK for the same user on Windows. It is necessary to name the kernel yani_poker so that nbconvert can use the proper one. Somehow is does not work out of the box with a virtualenv installation.

Note2: The import Shema for Spectronaut is R_D_reportcol.rs.

3. Running:

venv_yani_poker\Scripts\activate.bat
python run_report_maker.py path1 path2 

Note3: if it is the first time to use your virtualenv, you need to run: pip install numpy matplotlib pandas duckdb upsetplot, before the code run_report_maker.py. This is just used to install the necessary python tools.

Note4: path1 and path2 are the paths to your .tsv reports from Spectronaut. The two example files, Spectronaut_5007.tsv and Spectronaut_4994.tsv are in the same folder as the code, so you can just run as: python run_report_maker.py Spectronaut_5007.tsv Spectronaut_4994.tsv

You can also make some alias to run the program directly: it should be under venv_yani_poker\Scripts\run_report_maker.py.

4. Help

venv_yani_poker\Scripts\activate.bat
python run_report_maker.py -h

5. What the script does?

run_report_maker.py is a simple command line scripts that:

• reads in two paths as arguments (attention: the code get the two paths from the first cell in the template notebook)
• reads in a template jupyter notebook
• modifies the FIRST CELL of that jupyter notebook to include the paths you provided
• saves it into a temporary jupyter notebook
• makes a webpdf out of that notebook

Have a most wonderful day.