Source code for safe.impact_functions.inundation.flood_vector_building_impact.metadata_definitions

# coding=utf-8
"""InaSAFE Disaster risk tool by Australian Aid - Metadata for Flood Vector
Impact on OSM Buildings using QGIS libraries.

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.

"""

__author__ = 'lucernae'

from safe.common.utilities import OrderedDict
from safe.defaults import building_type_postprocessor
from safe.impact_functions.impact_function_metadata import \
    ImpactFunctionMetadata
from safe.utilities.i18n import tr
from safe.definitions import (
    layer_mode_classified,
    layer_geometry_polygon,
    layer_geometry_point,
    hazard_flood,
    hazard_category_single_event,
    hazard_category_multiple_event,
    exposure_structure,
    flood_vector_hazard_classes,
    structure_class_field
)


[docs]class FloodPolygonBuildingFunctionMetadata(ImpactFunctionMetadata): """Metadata for Flood Vector on Building Impact Function using QGIS. .. versionadded:: 2.1 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': 'FloodPolygonBuildingFunction', 'name': tr('Polygon flood on buildings'), 'impact': tr('Be flooded'), 'title': tr('Be flooded'), 'function_type': 'qgis2.0', 'author': 'Dmitry Kolesov', 'date_implemented': 'N/A', 'overview': tr( 'To assess the impacts of (flood or tsunami) inundation ' 'on building footprints with hazard in vector format.'), 'detailed_description': tr( 'The inundation status is calculated for each building ' '(using the centroid if it is a polygon) based on the value ' 'of hazard attribute. The attribute and the values that are ' 'considered as flooded can be configured in impact function ' 'options.'), 'hazard_input': tr( 'A hazard vector layer whose attribute that can be used to ' 'mark whether a polygon is flood or not.'), 'exposure_input': tr( 'Vector polygon or point layer extracted from OSM where ' 'each feature represents the footprint of a building.'), 'output': tr( 'Vector layer contains building is estimated to be ' 'flooded and the breakdown of the building by type.'), 'actions': '', 'limitations': [], 'citations': [], '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_flood], 'continuous_hazard_units': [], 'vector_hazard_classifications': [ flood_vector_hazard_classes], 'raster_hazard_classifications': [], 'additional_keywords': [] }, 'exposure': { 'layer_mode': layer_mode_classified, 'layer_geometries': [ layer_geometry_polygon, layer_geometry_point], 'exposure_types': [exposure_structure], 'exposure_units': [], 'exposure_class_fields': [structure_class_field], 'additional_keywords': [] } }, 'parameters': OrderedDict([ ('postprocessors', OrderedDict([ ('BuildingType', building_type_postprocessor()) ])) ]) } return dict_meta