We're aiming for 100% code coverage on the project, track our progress here:
Link to working demo of datafile import:
Placeholder for live Jupyter view of whole repo
To prepare for running ensure these tools and packages are installed:
- Python 3 - at least Python 3.6.4 or later
- SQL Alchemy 1.3
For Postgres support and unit tests these packages are also required:
- geoalchemy2
- psycopg2
- nose2 (0.9.1)
Install the python dependencies with: pip install -r requirements.txt
Was: To install packages use pip install <package> or py -3 -m pip install <package> depending on your installation
- Run the unit test suite with:
coverage3 run -m unittest discover -v - View the unit test coverage with:
coverage report
To run from the command line go to the top level directory of the library in your bash shell or terminal program
Run by specifying the program as a module with -m and leaving off the .py file extension
The exact executable name for invoking python will depend how you have it installed, but most commonly it's just python
For example run the Sqlite example using:
python -m Experiments.DataStore_sqliteExperiment
To run from inside IntelliJ open the project
Mark the Store package as source by right clicking on the directory and selecting Mark Directory as -> Source Root
Open any python module you want to run in the main editor window, right click anywhere in the editor and choose the Run or Debug option