# Measurement Processor

**Meas**urement**Process**or

Collection of different measurement processors --- especially with regards to geospatial data

# Installation

Either clone the repo directly or use pip install.

`pip install git+<https-link>`

Make sure to replace `<https-link>` with the correct URL.

# Requirements

To install all necessary requirements use:

`pip install -r requirements.txt`

`conda install -r requirements.txt`

# Testing

To run all available unit-tests:

`python -m pytest tests`

to also output stdout use:

`python -m pytest -s tests`

Alternatively you can directly call individual test modules. For instance:

`python -m  pytest -s tests/overpy_series_test.py`

# Coding Guidlines

**General**
*  Use [type hints](https://mypy.readthedocs.io/en/stable/cheat_sheet_py3.html) for parameters and return values for each function you implement
*  Each module should have basic [unit tests](https://realpython.com/python-testing/) so that we can catch coding errors before we push changes
*  Each function and class should include a [docstring](https://realpython.com/documenting-python-code/#documenting-your-python-code-base-using-docstrings) 

**Good Practices**
*  Common pittfalls --- for instance wrong EPSG --- should be handled via [warnings](https://docs.python.org/3/library/warnings.html) or exceptions so that errors are not introduced silently
*  Whenever we are dealing with coordinates, we try to use [geopandas.GeoSeries](https://geopandas.org/reference/geopandas.GeoSeries.html) so that the projection is handled explicitly
*  Use progress bars such as [tqdm](https://tqdm.github.io/) for jobs which take a considerable amount of time