# This file contains metadata for your plugin.

# This file should be included when you package your plugin.# Mandatory items:

[general]
name=APRIORA
qgisMinimumVersion=3.18
qgisMaximumVersion=3.99
description=Estimation of flow and concentration of Active Pharmaceutical Ingredients (API) in a catchment.
version=1.0.0
author=Cristiano Guidi
email=cristiano.guidi2@uni-rostock.de

about=This plugin contains a series of tools divided into two subgroups: Hydro-Module and API emission.
    Hydro-Module -> useful to estimate annual mean flow and annual mean low flow in ungauged subcatchments.
    API emission -> calculate the load of API from waste water treatment plants and their concentration in the river network.
    Finally, a risk assessment is performed.
    External dependencies: requires the Python libraries 'numpy', 'pandas' and 'scikit-learn'.
    numpy and pandas are typically pre-installed with QGIS. To install scikit-learn, open the
    OSGeo4W Shell and run: python -m pip install scikit-learn
    (for Windows see: https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/).

tracker=https://github.com/cridrive66/APRIORA/issues
repository=https://github.com/cridrive66/APRIORA
# End of mandatory metadata

# Recommended items:

hasProcessingProvider=yes
changelog=1.0.0 - Initial release

# Tags are comma separated with spaces allowed
tags=water, catchment, flow estimation, river, pollutants, risk assessment, concentration, pharmaceutical

homepage=https://hosting-apriora-manual.readthedocs.io/en/latest/
category=Analysis
icon=icon.png
# experimental flag
experimental=False

# deprecated flag (applies to the whole plugin, not just a single version)
deprecated=False

# Since QGIS 3.8, a comma separated list of plugins to be installed
# (or upgraded) can be specified.
# Check the documentation for more information.
# plugin_dependencies=

# If the plugin can run on QGIS Server.
server=False

