# coding=utf-8
"""InaSAFE Disaster risk tool by Australian Aid - Flood Raster Impact on
Population.

Contact : ole.moller.nielsen@gmail.com

.. note:: This program is free software; you can redistribute it and/or modify
     it under the terms of the GNU General Public License as published by
     the Free Software Foundation; either version 2 of the License, or
     (at your option) any later version.

"""

__author__ = 'Rizky Maulana Nugraha'

from safe.common.utilities import OrderedDict, get_thousand_separator

from safe.defaults import (
    default_minimum_needs,
    default_gender_postprocessor,
    age_postprocessor,
    minimum_needs_selector)
from safe.impact_functions.impact_function_metadata import \
    ImpactFunctionMetadata
from safe.impact_functions.inundation.\
    flood_raster_population.parameter_definitions \
    import threshold
from safe.utilities.i18n import tr
from safe.definitions import (
    layer_mode_continuous,
    layer_geometry_raster,
    hazard_flood,
    hazard_category_single_event,
    hazard_category_multiple_event,
    unit_metres,
    unit_feet,
    count_exposure_unit,
    exposure_population
)


class FloodEvacuationRasterHazardMetadata(ImpactFunctionMetadata):
    """Metadata for FloodEvacuationFunction.

    .. versionadded:: 2.1

    We only need to re-implement as_dict(), all other behaviours
    are inherited from the abstract base class.
    """

    @staticmethod
    def as_dict():
        """Return metadata as a dictionary.

        This is a static method. You can use it to get the metadata in
        dictionary format for an impact function.

        :returns: A dictionary representing all the metadata for the
            concrete impact function.
        :rtype: dict
        """
        dict_meta = {
            'id': 'FloodEvacuationRasterHazardFunction',
            'name': tr('Raster flood on population'),
            'impact': tr('Need evacuation'),
            'title': tr('Need evacuation'),
            'function_type': 'old-style',
            'author': 'AIFDR',
            'date_implemented': 'N/A',
            'overview': tr(
                'To assess the impacts of flood inundation in raster '
                'format on population.'),
            'detailed_description': tr(
                'The population subject to inundation exceeding a '
                'threshold (default 1m) is calculated and returned as a '
                'raster layer. In addition the total number of affected '
                'people and the required needs based on the user '
                'defined minimum needs are reported. The threshold can be '
                'changed and even contain multiple numbers in which case '
                'evacuation and needs are calculated using the largest number '
                'with population breakdowns provided for the smaller numbers. '
                'The population raster is resampled to the resolution of the '
                'hazard raster and is rescaled so that the resampled '
                'population counts reflect estimates of population count '
                'per resampled cell. The resulting impact layer has the '
                'same resolution and reflects population count per cell '
                'which are affected by inundation.'),
            'hazard_input': tr(
                'A hazard raster layer where each cell represents flood '
                'depth (in meters).'),
            'exposure_input': tr(
                'An exposure raster layer where each cell represent '
                'population count.'),
            'output': tr(
                'Raster layer contains population affected and the minimum '
                'needs based on number of the population affected.'),
            'actions': tr(
                'Provide details about how many people would likely need '
                'to be evacuated, where they are located and what '
                'resources would be required to support them.'),
            'limitations': [
                tr('The default threshold of 1 meter was selected based '
                   'on consensus, not hard evidence.')
            ],
            'citations': [
                {
                    'text': None,
                    'link': None
                }
            ],
            'legend_title': tr('Population Count'),
            'legend_units': tr('(people per cell)'),
            'legend_notes': tr(
                'Thousand separator is represented by %s' %
                get_thousand_separator()),
            'layer_requirements': {
                'hazard': {
                    'layer_mode': layer_mode_continuous,
                    'layer_geometries': [layer_geometry_raster],
                    'hazard_categories': [
                        hazard_category_single_event,
                        hazard_category_multiple_event
                    ],
                    'hazard_types': [hazard_flood],
                    'continuous_hazard_units': [unit_feet, unit_metres],
                    'vector_hazard_classifications': [],
                    'raster_hazard_classifications': [],
                    'additional_keywords': []
                },
                'exposure': {
                    'layer_mode': layer_mode_continuous,
                    'layer_geometries': [layer_geometry_raster],
                    'exposure_types': [exposure_population],
                    'exposure_units': [count_exposure_unit],
                    'exposure_class_fields': [],
                    'additional_keywords': []
                }
            },
            'parameters': OrderedDict([
                ('thresholds', threshold()),
                ('postprocessors', OrderedDict([
                    ('Gender', default_gender_postprocessor()),
                    ('Age', age_postprocessor()),
                    ('MinimumNeeds', minimum_needs_selector()),
                ])),
                ('minimum needs', default_minimum_needs())
            ])
        }
        return dict_meta
