This is documentation for running TPPT Analysis in dry run environment which basically just means running the software in source code form in Python interpreter.
The dry run environment is delivered in source form and is hence not directly executable. Python needs to be installed on the system and the system needs to have internet access to access the general pypi server.
Install Python 3.5.1 32-bit. Other versions might also work but have not been tested.
To set things up, open console (cmd.exe) in TPPT Analysis root directory. Then type
py -3.5-32 -m venv venv
This will create a Python virtual environment in local directory venv.
Then type following
venv\Scripts\Activate.bat python -m pip install --upgrade pip pip install -r requirements.txt
Now the virtual environment is setup for running TPPT Analysis.
Install Python 3.6.8. This seems to be installed by default in Ubuntu 18.04 LTS. Install venv and pip:
sudo apt install python3-venv sudo apt install python3-pip
To set things up, open terminal in TPPT Analysis root directory. Then type
python3 -m venv venv
This will create a Python virtual environment in local directory venv.
Then type following
source venv/bin/activate python -m pip install --upgrade pip pip install -r requirements.txt
Now the virtual environment is setup for running TPPT Analysis.
Open terminal in TPPT Analysis root directory and activate the Python virtual environment. Then execute commmand
python main.py --database=/home/foo/tppt/database.sqlite --config=/home/foo/tppt/config.json
Change the command line parameters to point to the correct TPPT script directory.
TPPT Analysis software is used in dry run environment the same as in real TnT environment.