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

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

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 \
from safe.impact_functions.inundation.flood_raster_osm_building_impact\
    .parameter_definitions import threshold
from safe.utilities.i18n import tr
from safe.definitions import (

[docs]class FloodRasterBuildingMetadata(ImpactFunctionMetadata): """Metadata for Flood Raster Building Impact Function. .. 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': 'FloodRasterBuildingFunction', 'name': tr('Raster flood on buildings'), 'impact': tr('Be flooded'), 'title': tr('Be flooded'), 'function_type': 'old-style', # should be a list, but we can do it later. 'author': 'Ole Nielsen and Kristy van Putten', 'date_implemented': 'N/A', 'overview': tr( 'To assess the impacts of (flood or tsunami) inundation ' 'on building footprints originating from OpenStreetMap ' '(OSM) with hazard in raster format.'), 'detailed_description': tr( 'The inundation status is calculated for each building ' '(using the centroid if it is a polygon) based on the ' 'flood threshold. The threshold can be configured in ' 'impact function options.'), 'hazard_input': tr( 'A hazard raster layer where each cell represents flood ' 'depth (in meters).'), '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': tr( 'Provide details about where critical infrastructure ' 'might be flooded.'), 'limitations': [ tr('This function only flags buildings as impacted or not ' 'either based on a fixed threshold') ], 'citations': [], '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, hazard_tsunami], 'continuous_hazard_units': [unit_feet, unit_metres], 'vector_hazard_classifications': [], 'raster_hazard_classifications': [], 'additional_keywords': [] }, 'exposure': { 'layer_mode': layer_mode_classified, 'layer_geometries': [ layer_geometry_point, layer_geometry_polygon ], 'exposure_types': [exposure_structure], 'exposure_units': [], 'exposure_class_fields': [structure_class_field], 'additional_keywords': [] } }, 'parameters': OrderedDict([ ('threshold', threshold()), ('postprocessors', OrderedDict([ ('BuildingType', building_type_postprocessor()) ])) ]) } return dict_meta