# coding=utf-8
"""InaSAFE Disaster risk tool by Australian Aid - Classified Polygon on
Population Metadata Definitions.
Contact : [email protected]
.. 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.
"""
from safe.common.utilities import OrderedDict
from safe.definitions import (
layer_mode_classified,
layer_mode_continuous,
layer_geometry_polygon,
layer_geometry_raster,
hazard_all,
hazard_category_single_event,
hazard_category_multiple_event,
exposure_population,
generic_vector_hazard_classes,
count_exposure_unit,
)
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.utilities.i18n import tr
[docs]class ClassifiedPolygonHazardPopulationFunctionMetadata(
ImpactFunctionMetadata):
"""Metadata for ClassifiedPolygonHazardPopulationFunctionMetadata.
.. versionadded:: 3.1
We only need to re-implement as_dict(), all other behaviours
are inherited from the abstract base class.
"""
@staticmethod
[docs] 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': 'ClassifiedPolygonHazardPopulationFunction',
'name': tr('Classified polygon hazard on population'),
'impact': tr('Be impacted'),
'title': tr('Be impacted'),
'function_type': 'old-style',
'author': 'Akbar Gumbira ([email protected])',
'date_implemented': 'N/A',
'hazard_input': tr(
'A hazard vector layer must be a polygon layer that has a '
'hazard zone attribute.'),
'exposure_input': tr(
'An exposure raster layer where each cell represents '
'the population count for that cell.'),
'output': tr(
'A vector layer containing polygons matching the hazard areas'
'and an attribute representing the number of people affected '
'for each area.'),
'actions': tr(
'Provide details about the number of people that are '
'within each hazard zone.'),
'limitations': [],
'citations': [],
'overview': tr(
'To assess the number of people that may be impacted by '
'each hazard zone.'),
'detailed_description': '',
'layer_requirements': {
'hazard': {
'layer_mode': layer_mode_classified,
'layer_geometries': [layer_geometry_polygon],
'hazard_categories': [
hazard_category_single_event,
hazard_category_multiple_event
],
'hazard_types': hazard_all,
'continuous_hazard_units': [],
'vector_hazard_classifications': [
generic_vector_hazard_classes
],
'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([
('postprocessors', OrderedDict([
('Gender', default_gender_postprocessor()),
('Age', age_postprocessor()),
('MinimumNeeds', minimum_needs_selector()),
])),
('minimum needs', default_minimum_needs())
])
}
return dict_meta