def test_filter_by_metadata(self):
"""TestRegistry: Test filtering IF by hazard and exposure metadata."""
hazard_metadata = {
'subcategory': hazard_flood,
'units': unit_wetdry,
'layer_constraints': layer_vector_polygon
}
exposure_metadata = {
'subcategory': exposure_structure,
'units': unit_building_type_type,
'layer_constraints': layer_vector_polygon
}
registry = Registry()
impact_functions = registry.filter(hazard_metadata, exposure_metadata)
expected = [FloodPolygonBuildingFunction]
message = 'Expecting %s. Got %s instead' % (expected, impact_functions)
self.assertEqual(expected, impact_functions, message)
def test_filter_by_metadata(self):
"""TestRegistry: Test filtering IF by hazard and exposure metadata."""
hazard_metadata = {
'subcategory': hazard_flood,
'units': unit_wetdry,
'layer_constraints': layer_vector_polygon
}
exposure_metadata = {
'subcategory': exposure_structure,
'units': unit_building_type_type,
'layer_constraints': layer_vector_polygon
}
registry = Registry()
impact_functions = registry.filter(hazard_metadata, exposure_metadata)
expected = [FloodPolygonBuildingFunction]
message = 'Expecting %s. Got %s instead' % (expected, impact_functions)
self.assertEqual(expected, impact_functions, message)
def test_filter_by_metadata(self):
"""TestRegistry: Test filtering IF by hazard and exposure metadata."""
hazard_metadata = {
'layer_mode': layer_mode_continuous,
'layer_geometry': layer_geometry_raster,
'hazard_category': hazard_category_single_event,
'hazard': hazard_earthquake,
'continuous_hazard_unit': unit_mmi
}
exposure_metadata = {
'layer_mode': layer_mode_classified,
'layer_geometry': layer_geometry_point,
'exposure': exposure_structure,
}
registry = Registry()
impact_functions = registry.filter(hazard_metadata, exposure_metadata)
expected = [EarthquakeBuildingFunction]
message = 'Expecting \n%s.\n\nGot \n%s instead' % ('\n'.join([
x.__name__ for x in expected
]), '\n'.join([x.__name__ for x in impact_functions]))
self.assertEqual(expected, impact_functions, message)
def test_filter_by_metadata(self):
"""TestRegistry: Test filtering IF by hazard and exposure metadata."""
hazard_metadata = {
'layer_mode': layer_mode_continuous,
'layer_geometry': layer_geometry_raster,
'hazard_category': hazard_category_single_event,
'hazard': hazard_earthquake,
'continuous_hazard_unit': unit_mmi
}
exposure_metadata = {
'layer_mode': layer_mode_classified,
'layer_geometry': layer_geometry_point,
'exposure': exposure_structure,
}
registry = Registry()
impact_functions = registry.filter(hazard_metadata, exposure_metadata)
expected = [EarthquakeBuildingFunction]
message = 'Expecting \n%s.\n\nGot \n%s instead' % (
'\n'.join([x.__name__ for x in expected]),
'\n'.join([x.__name__ for x in impact_functions]))
self.assertEqual(expected, impact_functions, message)
class ImpactFunctionManager(object):
"""Class for managing metadata for all impact function.
.. versionadded:: 2.1
"""
def __init__(self):
"""Constructor."""
# Singleton Registry to track all the registered Impact Functions
self.registry = Registry()
@property
def impact_functions(self):
"""Return all registered impact functions."""
return self.registry.impact_functions
def get_instance(self, class_name):
"""Return an instance of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if = if_manager.get_instance(if_class_name)
:param class_name: The name of IF class.
:type class_name: str
:return: Impact function instance that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_instance(class_name)
def get_class(self, class_name):
"""Return the class of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if_class = if_manager.get_class(if_class_name)
:param class_name: the name of IF class
:type class_name: str
:return: impact function class that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_class(class_name)
def get(self, impact_function_id):
"""Return an instance of an impact function given its ID.
This is a preferred way to get an instance of IF. IF should have a
unique human readable ID in their metadata.
.. example::
if_manager = ImpactFunctionManager()
if_id = 'FloodBuildingImpactFunction'
if = if_manager.get(if_id)
:param impact_function_id: The ID of impact function in the metadata.
:type impact_function_id: str
:return An Impact function instance that has matched id.
:rtype: safe.impact_functions.base.ImpactFunction
"""
impact_functions = self.registry.filter_by_metadata("id", impact_function_id)
if len(impact_functions) == 0:
raise Exception("Impact function with ID: %s not found" % impact_function_id)
elif len(impact_functions) > 1:
raise Exception("There are some Impact Functions that have the same ID: %s" % impact_function_id)
return impact_functions[0].instance()
def filter(self, hazard_metadata=None, exposure_metadata=None):
"""Get available impact functions from hazard and exposure metadata.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_metadata = {
'subcategory': hazard_flood,
'units': unit_wetdry,
'layer_constraints': layer_vector_polygon
}
exposure_metadata = {
'subcategory': exposure_structure,
'units': unit_building_type_type,
'layer_constraints': layer_vector_polygon
}
ifs = if_manager.filter(hazard_metadata, exposure_metadata)
:param hazard_metadata: The metadata of the hazard.
:type hazard_metadata: dict
:param exposure_metadata: The metadata of the exposure.
:type exposure_metadata: dict
"""
return self.registry.filter(hazard_metadata, exposure_metadata)
def filter_by_keywords(self, hazard_keywords=None, exposure_keywords=None):
"""Get available impact functions from hazard and exposure keywords.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_keywords = {
'subcategory': 'flood',
'units': 'wetdry',
'layer_type': 'vector',
'data_type': 'polygon'
}
exposure_keywords = {
'subcategory': 'structure',
'units': 'building_type',
'layer_type': 'vector',
'data_type': 'polygon'
}
ifs = if_manager.filter_by_keywords(hazard_keywords,
exposure_keywords)
:param hazard_keywords: The keywords of the hazard.
:type hazard_keywords: dict
:param exposure_keywords: The keywords of the exposure.
:type exposure_keywords: dict
"""
return self.registry.filter_by_keyword_string(hazard_keywords, exposure_keywords)
def filter_by_metadata(self, metadata_key, metadata_value):
"""Return IF classes given its metadata key and value.
.. example::
if_manager = ImpactFunctionManager()
metadata_key = 'author'
metadata_value = 'Akbar Gumbira'
ifs = if_manager.filter_by_metadata(metadata_key,
metadata_value)
:param metadata_key: The key of the metadata e.g 'id', 'name'
:type metadata_key: str
:param metadata_value: The value of the metadata, e.g for the key
'id' the value is 'FloodNativePolygonExperimentalFunction'
:type metadata_value: str, dict
:return: Impact Function classes match the arguments
:rtype: list
"""
return self.registry.filter_by_metadata(metadata_key, metadata_value)
@staticmethod
def get_function_id(impact_function):
"""Get the ID of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The ID of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get("id", None)
@staticmethod
def get_function_title(impact_function):
"""Get title of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The title of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get("title", None)
@staticmethod
def get_function_name(impact_function):
"""Get the human readable name of the impact function.
:param impact_function: Class of an impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.metadata().as_dict().get("name", None)
@staticmethod
def get_function_type(impact_function):
"""Return the impact function type.
:param impact_function: The impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.function_type()
def allowed_subcategories(self, category=None):
"""Determine allowed subcategories, optionally filtered by category.
:param category: Optional category which will be used to subset the
allowed subcategories. If omitted, all supported subcategories will
be returned (for both hazard and exposure). Default is None.
:type category: str
:returns: A list of strings is returned.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
my_allowed_subcategories = impact_function.metadata().allowed_subcategories(category)
result = add_to_list(result, my_allowed_subcategories)
return result
def allowed_data_types(self, subcategory):
"""Determine allowed data types for all impact functions.
It uses subcategory as a filter.
Passing a subcategory is required otherwise the context of the
data_type(s) would be ambiguous (i.e. whether they can be used as
exposure or hazards).
:param subcategory: Required subcategory which will be used to subset
the allowed data_types.
:type subcategory: str
:returns: A list of one or more strings is returned.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
my_allowed_data_types = impact_function.metadata().allowed_data_types(subcategory)
result = add_to_list(result, my_allowed_data_types)
return result
def allowed_units(self, subcategory, data_type):
"""Determine allowed units from all impact functions.
It uses subcategory and data_type as a filter.
.. note:: One data_type could be used by more than one subcategory,
so we need to explicitly pass the subcategory to this function.
:param subcategory: Required subcategory which will be used to subset
the allowed data_types.
:type subcategory: str
:param data_type: Required data_type which will be used to subset the
allowed units.
:type data_type: str
:returns: A list of one or more strings is returned.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
my_allowed_units = impact_function.metadata().allowed_units(subcategory, data_type)
result = add_to_list(result, my_allowed_units)
return result
def units_for_layer(self, subcategory, layer_type, data_type):
"""Get the valid units for a layer.
Example usage::
foo = units_for_layer('flood', 'vector', 'polygon')
print foo
Would output this::
{'Wet/Dry': ['wet','dry']}
While passing a raster layer::
foo = units_for_layer('flood', 'raster', None)
print foo
Might return this::
{
'metres': None,
'feet': None,
'wet/dry': ['wet', 'dry'],
}
In the returned dictionary the keys are unit types and
the values are the categories (if any) applicable for that unit type.
:param subcategory: The subcategory for this layer.
:type subcategory: str
:param layer_type: The type for this layer. Valid values would be,
'raster' or 'vector'.
:type layer_type: str
:param data_type: The data_type for this layer. Valid possibilities
would be 'numeric' (for raster), point, line, polygon
(for vectors).
:type data_type: str
:returns: A dictionary as per the example above where each key
represents a unit and each value that is not None represents a
list of categories.
:rtype: dict
"""
result = []
for impact_function in self.impact_functions:
my_units = impact_function.metadata().units_for_layer(subcategory, layer_type, data_type)
result = add_to_list(result, my_units)
return result
def categories_for_layer(self, layer_type, data_type):
"""Return a list of valid categories for a layer.
This method is used to determine if a given layer can be used as a
hazard, exposure or aggregation layer.
Example usage::
foo = categories_for_layer('vector', 'polygon')
print foo
Would output this::
['hazard', 'exposure', 'aggregation']
While passing a vector point layer::
foo = units_for_layer('vector', 'point')
print foo
Might return this::
['hazard', 'exposure']
In the returned the values are categories (if any) applicable for that
layer_type and data_type.
:param layer_type: The type for this layer. Valid values would be,
'raster' or 'vector'.
:type layer_type: str
:param data_type: The data_type for this layer. Valid possibilities
would be 'numeric' (for raster), point, line, polygon
(for vectors).
:type data_type: str
:returns: A list as per the example above where each value represents
a valid category.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
categories = impact_function.metadata().categories_for_layer(layer_type, data_type)
result = add_to_list(result, categories)
categories_definitions = []
for category in result:
if category == "hazard":
categories_definitions.append(hazard_definition)
elif category == "exposure":
categories_definitions.append(exposure_definition)
else:
raise Exception("Unsupported categories")
return categories_definitions
def subcategories_for_layer(self, category, layer_type, data_type):
"""Return a list of valid subcategories for a layer.
This method is used to determine which subcategories a given layer
can be for.
Example usage::
foo = subcategories_for_layer('vector', 'polygon', 'exposure')
print foo
Would output this::
['flood', 'landuse']
In the returned the values are categories (if any) applicable for that
layer_type and data_type.
:param layer_type: The type for this layer. Valid values would be,
'raster' or 'vector'.
:type layer_type: str
:param data_type: The data_type for this layer. Valid possibilities
would be 'numeric' (for raster), point, line, polygon
(for vectors).
:type data_type: str
:param category: The category for this layer. Valid possibilities
would be 'hazard', 'exposure' and 'aggregation'.
:type category: str
:returns: A list as per the example above where each value represents
a valid subcategory.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
subcategories = impact_function.metadata().subcategories_for_layer(category, layer_type, data_type)
result = add_to_list(result, subcategories)
return result
def get_available_hazards(self, impact_function=None, ascending=True):
"""Return a list of valid available hazards for an impact function.
If impact_function is None, return all available hazards
.. versionadded:: 2.2
:param impact_function: Impact Function object.
:type impact_function: FunctionProvider
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: A list of hazard full metadata.
:rtype: list
"""
hazards = []
if impact_function is None:
for impact_function in self.impact_functions:
add_to_list(hazards, impact_function.metadata().get_hazards())
else:
# noinspection PyUnresolvedReferences
hazards = impact_function.metadata().get_hazards()
# make it sorted
if ascending:
hazards = sorted(hazards, key=lambda k: k["id"])
return hazards
def get_functions_for_hazard(self, hazard):
"""Return all function metadata that has hazard in their metadata.
.. versionadded:: 2.2
:param hazard: Dictionary that represent the hazard
:type hazard: dict
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_hazard(hazard):
impact_functions_metadata.append(impact_function.metadata().as_dict())
return impact_functions_metadata
def get_functions_for_hazard_id(self, hazard_id):
"""Return all function metadata that has hazard_id in their metadata.
.. versionadded:: 2.2
:param hazard_id: String that represent the hazard id.
:type hazard_id: str
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_hazard_id(hazard_id):
impact_functions_metadata.append(impact_function.metadata().as_dict())
return impact_functions_metadata
def get_available_exposures(self, impact_function=None, ascending=True):
"""Return a list of valid available exposures for an impact function.
If impact_function is None, return all available exposures
.. versionadded:: 2.2
:param impact_function: Impact Function object.
:type impact_function: FunctionProvider
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: A list of exposures full metadata.
:rtype: list
"""
exposures = []
if impact_function is None:
for impact_function in self.impact_functions:
add_to_list(exposures, impact_function.metadata().get_exposures())
else:
# noinspection PyUnresolvedReferences
exposures = impact_function.metadata().get_exposures()
# make it sorted
if ascending:
exposures = sorted(exposures, key=lambda k: k["id"])
return exposures
def get_functions_for_exposure(self, exposure):
"""Return all function metadata that has exposure in their metadata.
.. versionadded:: 2.2
:param exposure: Dictionary that represent the exposure
:type exposure: dict
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_exposure(exposure):
impact_functions_metadata.append(impact_function.metadata().as_dict())
return impact_functions_metadata
def get_functions_for_exposure_id(self, exposure_id):
"""Return all function metadata that has exposure_id in their metadata.
.. versionadded:: 2.2
:param exposure_id: String that represent the exposure id.
:type exposure_id: str
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_exposure_id(exposure_id):
impact_functions_metadata.append(impact_function.metadata().as_dict())
return impact_functions_metadata
def get_functions_for_constraint(self, hazard, exposure, hazard_constraint=None, exposure_constraint=None):
"""Get all impact functions that match the hazard n exposure metadata.
:param hazard: The hazard metadata.
:type hazard: dict
:param exposure: The exposure metadata.
:type exposure: dict
:param hazard_constraint:
:param exposure_constraint:
:return:
"""
result = []
if_hazard = self.get_functions_for_hazard(hazard)
if_exposure = self.get_functions_for_exposure(exposure)
if_exposure_id = [function["id"] for function in if_exposure]
for f in if_hazard:
if f["id"] in if_exposure_id:
if not hazard_constraint or hazard_constraint in f["categories"]["hazard"]["layer_constraints"]:
if (
not exposure_constraint
or exposure_constraint in f["categories"]["exposure"]["layer_constraints"]
):
result.append(f)
return result
class ImpactFunctionManager(object):
"""Class for managing metadata for all impact function.
.. versionadded:: 2.1
"""
def __init__(self):
"""Constructor."""
# Singleton Registry to track all the registered Impact Functions
self.registry = Registry()
@property
def impact_functions(self):
"""Return all registered impact functions."""
return self.registry.impact_functions
def get_instance(self, class_name):
"""Return an instance of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if = if_manager.get_instance(if_class_name)
:param class_name: The name of IF class.
:type class_name: str
:return: Impact function instance that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_instance(class_name)
def get_class(self, class_name):
"""Return the class of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if_class = if_manager.get_class(if_class_name)
:param class_name: the name of IF class
:type class_name: str
:return: impact function class that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_class(class_name)
def get(self, impact_function_id):
"""Return an instance of an impact function given its ID.
This is a preferred way to get an instance of IF. IF should have a
unique human readable ID in their metadata.
.. example::
if_manager = ImpactFunctionManager()
if_id = 'FloodBuildingImpactFunction'
if = if_manager.get(if_id)
:param impact_function_id: The ID of impact function in the metadata.
:type impact_function_id: str
:return An Impact function instance that has matched id.
:rtype: safe.impact_functions.base.ImpactFunction
"""
impact_functions = self.registry.filter_by_metadata(
'id', impact_function_id)
if len(impact_functions) == 0:
raise Exception('Impact function with ID: %s not found' %
impact_function_id)
elif len(impact_functions) > 1:
raise Exception(
'There are some Impact Functions that have the same ID: %s' %
impact_function_id)
return impact_functions[0].instance()
def filter(self, hazard_metadata=None, exposure_metadata=None):
"""Get available impact functions from hazard and exposure metadata.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_metadata = {
'subcategory': hazard_flood,
'units': unit_wetdry,
'layer_constraints': layer_vector_polygon
}
exposure_metadata = {
'subcategory': exposure_structure,
'units': unit_building_type_type,
'layer_constraints': layer_vector_polygon
}
ifs = if_manager.filter(hazard_metadata, exposure_metadata)
:param hazard_metadata: The metadata of the hazard.
:type hazard_metadata: dict
:param exposure_metadata: The metadata of the exposure.
:type exposure_metadata: dict
"""
return self.registry.filter(hazard_metadata, exposure_metadata)
def filter_by_keywords(self, hazard_keywords=None, exposure_keywords=None):
"""Get available impact functions from hazard and exposure keywords.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_keywords = {
'subcategory': 'flood',
'units': 'wetdry',
'layer_type': 'vector',
'data_type': 'polygon'
}
exposure_keywords = {
'subcategory': 'structure',
'units': 'building_type',
'layer_type': 'vector',
'data_type': 'polygon'
}
ifs = if_manager.filter_by_keywords(hazard_keywords,
exposure_keywords)
:param hazard_keywords: The keywords of the hazard.
:type hazard_keywords: dict
:param exposure_keywords: The keywords of the exposure.
:type exposure_keywords: dict
"""
return self.registry.filter_by_keyword_string(hazard_keywords,
exposure_keywords)
def filter_by_metadata(self, metadata_key, metadata_value):
"""Return IF classes given its metadata key and value.
.. example::
if_manager = ImpactFunctionManager()
metadata_key = 'author'
metadata_value = 'Akbar Gumbira'
ifs = if_manager.filter_by_metadata(metadata_key,
metadata_value)
:param metadata_key: The key of the metadata e.g 'id', 'name'
:type metadata_key: str
:param metadata_value: The value of the metadata, e.g for the key
'id' the value is 'FloodNativePolygonExperimentalFunction'
:type metadata_value: str, dict
:return: Impact Function classes match the arguments
:rtype: list
"""
return self.registry.filter_by_metadata(metadata_key, metadata_value)
@staticmethod
def get_function_id(impact_function):
"""Get the ID of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The ID of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get('id', None)
@staticmethod
def get_function_title(impact_function):
"""Get title of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The title of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get('title', None)
@staticmethod
def get_function_name(impact_function):
"""Get the human readable name of the impact function.
:param impact_function: Class of an impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.metadata().as_dict().get('name', None)
@staticmethod
def get_function_type(impact_function):
"""Return the impact function type.
:param impact_function: The impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.function_type()
def get_functions_for_hazard(self, hazard):
"""Return all function metadata that has hazard in their metadata.
.. versionadded:: 2.2
:param hazard: Dictionary that represent the hazard
:type hazard: dict
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_hazard(hazard):
impact_functions_metadata.append(
impact_function.metadata().as_dict())
return impact_functions_metadata
def purposes_for_layer(self, layer_geometry_key):
"""Get purposes of a layer geometry id.
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
"""
layer_purposes = []
for impact_function in self.impact_functions:
if_layer_purposes = impact_function.metadata().purposes_for_layer(
layer_geometry_key)
if if_layer_purposes:
add_to_list(layer_purposes, if_layer_purposes)
return layer_purposes
def hazard_categories_for_layer(self, layer_geometry_key, hazard_key=None):
"""Get hazard categories form layer_geometry_key
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
:param hazard_key: The hazard key
:type hazard_key: str
:returns: List of hazard_categories
:rtype: list
"""
hazard_categories = []
for impact_function in self.impact_functions:
if_hazard_categories = impact_function.metadata()\
.hazard_categories_for_layer(layer_geometry_key, hazard_key)
if if_hazard_categories:
add_to_list(hazard_categories, if_hazard_categories)
return hazard_categories
def hazards_for_layer(self, layer_geometry_key, hazard_category_key=None):
"""Get hazard categories form layer_geometry_key
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
:param hazard_category_key: The hazard category
:type hazard_category_key: str
:returns: List of hazard
:rtype: list
"""
hazards = []
for impact_function in self.impact_functions:
if_hazards = impact_function.metadata().hazards_for_layer(
layer_geometry_key, hazard_category_key)
if if_hazards:
add_to_list(hazards, if_hazards)
return hazards
def exposures_for_layer(self, layer_geometry_key):
"""Get hazard categories form layer_geometry_key
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
:returns: List of hazard
:rtype: list
"""
exposures = []
for impact_function in self.impact_functions:
if_exposures = impact_function.metadata().exposures_for_layer(
layer_geometry_key)
if if_exposures:
add_to_list(exposures, if_exposures)
return exposures
def exposure_units_for_layer(self, exposure_key, layer_geometry_key,
layer_mode_key):
"""Get hazard categories form layer_geometry_key
:param exposure_key: The exposure key
:type exposure_key: str
:param layer_geometry_key: The geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:returns: List of exposure unit
:rtype: list
"""
exposure_units = []
for impact_function in self.impact_functions:
if_exposure_units = impact_function.metadata().\
exposure_units_for_layer(
exposure_key, layer_geometry_key, layer_mode_key)
if if_exposure_units:
add_to_list(exposure_units, if_exposure_units)
return exposure_units
def continuous_hazards_units_for_layer(self, hazard_key,
layer_geometry_key, layer_mode_key,
hazard_category_key):
"""Get continuous hazard units.
:param hazard_key: The hazard key
:type hazard_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of continuous hazard unit
:rtype: list
"""
continuous_hazards_units = []
for impact_function in self.impact_functions:
if_continuous_hazard_units = impact_function.metadata().\
continuous_hazards_units_for_layer(
hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key)
if if_continuous_hazard_units:
add_to_list(continuous_hazards_units,
if_continuous_hazard_units)
return continuous_hazards_units
def vector_hazards_classifications_for_layer(self, hazard_key,
layer_geometry_key,
layer_mode_key,
hazard_category_key):
"""Get continuous hazard units.
:param hazard_key: The hazard key
:type hazard_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of vector_hazards_classifications
:rtype: list
"""
vector_hazards_classifications = []
for impact_function in self.impact_functions:
if_vector_hazards_classifications = impact_function.metadata().\
vector_hazards_classifications_for_layer(
hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key)
if if_vector_hazards_classifications:
add_to_list(vector_hazards_classifications,
if_vector_hazards_classifications)
return vector_hazards_classifications
def raster_hazards_classifications_for_layer(self, hazard_key,
layer_geometry_key,
layer_mode_key,
hazard_category_key):
"""Get continuous hazard units.
:param hazard_key: The hazard key
:type hazard_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of raster_hazards_classifications
:rtype: list
"""
raster_hazards_classifications = []
for impact_function in self.impact_functions:
if_vector_hazards_classifications = impact_function.metadata().\
raster_hazards_classifications_for_layer(
hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key)
if if_vector_hazards_classifications:
add_to_list(raster_hazards_classifications,
if_vector_hazards_classifications)
return raster_hazards_classifications
def available_hazards(self, hazard_category_key, ascending=True):
"""available_hazards from hazard_category_key
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: List of available hazards
:rtype: list
"""
hazards = []
for impact_function in self.impact_functions:
if_hazards = impact_function.metadata(). \
available_hazards(hazard_category_key)
if if_hazards:
add_to_list(hazards, if_hazards)
# make it sorted
if ascending and hazards:
hazards = sorted(hazards, key=lambda k: k['key'])
return hazards
def available_exposures(self, ascending=True):
"""Return a list of valid available exposures
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: A list of exposures full metadata.
:rtype: list
"""
exposures = []
for impact_function in self.impact_functions:
if_exposures = impact_function.metadata().available_exposures()
if if_exposures:
add_to_list(exposures, if_exposures)
# make it sorted
if ascending and exposures:
exposures = sorted(exposures, key=lambda k: k['key'])
return exposures
def functions_for_constraint(self,
hazard_key,
exposure_key,
hazard_geometry_key=None,
exposure_geometry_key=None,
hazard_mode_key=None,
exposure_mode_key=None):
"""Obtain all functions that match with the constraints
:param hazard_key: The hazard key
:type hazard_key: str
:param exposure_key: the exposure key
:type exposure_key: str
:param hazard_geometry_key: The hazard geometry key
:type hazard_geometry_key: str
:param exposure_geometry_key: The exposure geometry key
:type exposure_geometry_key: str
:param hazard_mode_key: The hazard mode key
:type hazard_mode_key: str
:param exposure_mode_key: The exposure mode key
:type exposure_mode_key: str
:returns: List of matched Impact Function
:rtype: list
"""
impact_functions = []
for impact_function in self.impact_functions:
if impact_function.metadata().is_function_for_constraint(
hazard_key, exposure_key, hazard_geometry_key,
exposure_geometry_key, hazard_mode_key, exposure_mode_key):
impact_functions.append(impact_function.metadata().as_dict())
return impact_functions
def available_hazard_constraints(self, hazard_key, hazard_category_key):
"""Get hazard constraints for hazard_key and hazard_category_key
:param hazard_key: The hazard key
:type hazard_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of tuple of layer_mode and layer_geometry
:rtype: list
"""
hazard_constraints = []
for impact_function in self.impact_functions:
if_hazard_constraints = impact_function.metadata().\
available_hazard_constraints(
hazard_key, hazard_category_key)
if if_hazard_constraints:
add_to_list(hazard_constraints, if_hazard_constraints)
return hazard_constraints
def available_exposure_constraints(self, exposure_key):
"""Get exposure constraints for exposure_key.
:param exposure_key: The exposure key
:type exposure_key: str
:returns: List of tuple of layer_mode and layer_geometry
:rtype: list
"""
exposure_constraints = []
for impact_function in self.impact_functions:
if_exposure_constraints = impact_function.metadata(). \
available_exposure_constraints(exposure_key)
if if_exposure_constraints:
add_to_list(exposure_constraints, if_exposure_constraints)
return exposure_constraints
def available_hazard_layer_modes(self, hazard_key, hazard_geometry_key,
hazard_category_key):
"""Return all available layer_mode.
:param hazard_key: The hazard key
:type hazard_key: str
:param hazard_geometry_key: The hazard geometry key
:type hazard_geometry_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of layer_mode
:rtype: list
"""
layer_modes = []
for impact_function in self.impact_functions:
if_hazard_layer_mode = impact_function.metadata().\
available_hazard_layer_mode(
hazard_key, hazard_geometry_key, hazard_category_key)
if if_hazard_layer_mode:
add_to_list(layer_modes, if_hazard_layer_mode)
return layer_modes
def available_exposure_layer_modes(self, exposure_key,
exposure_geometry_key):
"""Get exposure layer mode for exposure_key.
:param exposure_key: The exposure key
:type exposure_key: str
:param exposure_geometry_key: The exposure geometry key
:type exposure_geometry_key: str
:returns: List of layer_mode
:rtype: list
"""
layer_modes = []
for impact_function in self.impact_functions:
if_exposure_layer_mode = impact_function.metadata().\
available_exposure_layer_mode(
exposure_key, exposure_geometry_key)
if if_exposure_layer_mode:
add_to_list(layer_modes, if_exposure_layer_mode)
return layer_modes
def hazard_additional_keywords(self,
layer_mode_key=None,
layer_geometry_key=None,
hazard_category_key=None,
hazard_key=None):
"""Return additional_keywords for hazard.
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:param hazard_key: The hazard key
:type hazard_key: str
:returns: List of additional keywords
:rtype: list
"""
additional_keywords = []
for impact_function in self.impact_functions:
if_additional_keywords = impact_function.metadata().\
hazard_additional_keywords(
layer_mode_key=layer_mode_key,
layer_geometry_key=layer_geometry_key,
hazard_category_key=hazard_category_key,
hazard_key=hazard_key)
if if_additional_keywords:
add_to_list(additional_keywords, if_additional_keywords)
return additional_keywords
def exposure_additional_keywords(self,
layer_mode_key=None,
layer_geometry_key=None,
exposure_key=None):
"""Return additional_keywords for exposure.
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param exposure_key: The hazard key
:type exposure_key: str
:returns: List of additional keywords
:rtype: list
"""
additional_keywords = []
for impact_function in self.impact_functions:
if_additional_keywords = impact_function.metadata().\
exposure_additional_keywords(
layer_mode_key=layer_mode_key,
layer_geometry_key=layer_geometry_key,
exposure_key=exposure_key)
if if_additional_keywords:
add_to_list(additional_keywords, if_additional_keywords)
return additional_keywords
def exposure_class_fields(self,
layer_mode_key=None,
layer_geometry_key=None,
exposure_key=None):
"""Return list of exposure class field.
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param exposure_key: The exposure key
:type exposure_key: str
:returns: List of exposure class field.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
if_exposure_class_field = impact_function.metadata(). \
exposure_class_fields(
layer_mode_key=layer_mode_key,
layer_geometry_key=layer_geometry_key,
exposure_key=exposure_key)
if if_exposure_class_field:
add_to_list(result, if_exposure_class_field)
return result
class ImpactFunctionManager(object):
"""Class for managing metadata for all impact function.
.. versionadded:: 2.1
"""
def __init__(self):
"""Constructor."""
# Singleton Registry to track all the registered Impact Functions
self.registry = Registry()
@property
def impact_functions(self):
"""Return all registered impact functions."""
return self.registry.impact_functions
def get_instance(self, class_name):
"""Return an instance of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if = if_manager.get_instance(if_class_name)
:param class_name: The name of IF class.
:type class_name: str
:return: Impact function instance that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_instance(class_name)
def get_class(self, class_name):
"""Return the class of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if_class = if_manager.get_class(if_class_name)
:param class_name: the name of IF class
:type class_name: str
:return: impact function class that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_class(class_name)
def get(self, impact_function_id):
"""Return an instance of an impact function given its ID.
This is a preferred way to get an instance of IF. IF should have a
unique human readable ID in their metadata.
.. example::
if_manager = ImpactFunctionManager()
if_id = 'FloodBuildingImpactFunction'
if = if_manager.get(if_id)
:param impact_function_id: The ID of impact function in the metadata.
:type impact_function_id: str
:return An Impact function instance that has matched id.
:rtype: safe.impact_functions.base.ImpactFunction
"""
impact_functions = self.registry.filter_by_metadata(
'id', impact_function_id)
if len(impact_functions) == 0:
raise Exception(
'Impact function with ID: %s not found' % impact_function_id)
elif len(impact_functions) > 1:
raise Exception(
'There are some Impact Functions that have the same ID: %s' %
impact_function_id)
return impact_functions[0].instance()
def filter(self, hazard_metadata=None, exposure_metadata=None):
"""Get available impact functions from hazard and exposure metadata.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_metadata = {
'subcategory': hazard_flood,
'units': unit_wetdry,
'layer_constraints': layer_vector_polygon
}
exposure_metadata = {
'subcategory': exposure_structure,
'units': unit_building_type_type,
'layer_constraints': layer_vector_polygon
}
ifs = if_manager.filter(hazard_metadata, exposure_metadata)
:param hazard_metadata: The metadata of the hazard.
:type hazard_metadata: dict
:param exposure_metadata: The metadata of the exposure.
:type exposure_metadata: dict
"""
return self.registry.filter(hazard_metadata, exposure_metadata)
def filter_by_keywords(
self, hazard_keywords=None, exposure_keywords=None):
"""Get available impact functions from hazard and exposure keywords.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_keywords = {
'subcategory': 'flood',
'units': 'wetdry',
'layer_type': 'vector',
'data_type': 'polygon'
}
exposure_keywords = {
'subcategory': 'structure',
'units': 'building_type',
'layer_type': 'vector',
'data_type': 'polygon'
}
ifs = if_manager.filter_by_keywords(hazard_keywords,
exposure_keywords)
:param hazard_keywords: The keywords of the hazard.
:type hazard_keywords: dict
:param exposure_keywords: The keywords of the exposure.
:type exposure_keywords: dict
"""
return self.registry.filter_by_keyword_string(
hazard_keywords, exposure_keywords)
def filter_by_metadata(self, metadata_key, metadata_value):
"""Return IF classes given its metadata key and value.
.. example::
if_manager = ImpactFunctionManager()
metadata_key = 'author'
metadata_value = 'Akbar Gumbira'
ifs = if_manager.filter_by_metadata(metadata_key,
metadata_value)
:param metadata_key: The key of the metadata e.g 'id', 'name'
:type metadata_key: str
:param metadata_value: The value of the metadata, e.g for the key
'id' the value is 'FloodNativePolygonExperimentalFunction'
:type metadata_value: str, dict
:return: Impact Function classes match the arguments
:rtype: list
"""
return self.registry.filter_by_metadata(metadata_key, metadata_value)
@staticmethod
def get_function_id(impact_function):
"""Get the ID of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The ID of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get('id', None)
@staticmethod
def get_function_title(impact_function):
"""Get title of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The title of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get('title', None)
@staticmethod
def get_function_name(impact_function):
"""Get the human readable name of the impact function.
:param impact_function: Class of an impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.metadata().as_dict().get('name', None)
@staticmethod
def get_function_type(impact_function):
"""Return the impact function type.
:param impact_function: The impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.function_type()
def get_functions_for_hazard(self, hazard):
"""Return all function metadata that has hazard in their metadata.
.. versionadded:: 2.2
:param hazard: Dictionary that represent the hazard
:type hazard: dict
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_hazard(hazard):
impact_functions_metadata.append(
impact_function.metadata().as_dict())
return impact_functions_metadata
def purposes_for_layer(self, layer_geometry_key):
"""Get purposes of a layer geometry id.
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
"""
layer_purposes = []
for impact_function in self.impact_functions:
if_layer_purposes = impact_function.metadata().purposes_for_layer(
layer_geometry_key)
if if_layer_purposes:
add_to_list(layer_purposes, if_layer_purposes)
return layer_purposes
def hazard_categories_for_layer(self, layer_geometry_key, hazard_key=None):
"""Get hazard categories form layer_geometry_key
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
:param hazard_key: The hazard key
:type hazard_key: str
:returns: List of hazard_categories
:rtype: list
"""
hazard_categories = []
for impact_function in self.impact_functions:
if_hazard_categories = impact_function.metadata()\
.hazard_categories_for_layer(layer_geometry_key, hazard_key)
if if_hazard_categories:
add_to_list(hazard_categories, if_hazard_categories)
return hazard_categories
def hazards_for_layer(self, layer_geometry_key, hazard_category_key=None):
"""Get hazard categories form layer_geometry_key
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
:param hazard_category_key: The hazard category
:type hazard_category_key: str
:returns: List of hazard
:rtype: list
"""
hazards = []
for impact_function in self.impact_functions:
if_hazards = impact_function.metadata().hazards_for_layer(
layer_geometry_key, hazard_category_key)
if if_hazards:
add_to_list(hazards, if_hazards)
return hazards
def exposures_for_layer(self, layer_geometry_key):
"""Get hazard categories form layer_geometry_key
:param layer_geometry_key: The geometry id
:type layer_geometry_key: str
:returns: List of hazard
:rtype: list
"""
exposures = []
for impact_function in self.impact_functions:
if_exposures = impact_function.metadata().exposures_for_layer(
layer_geometry_key)
if if_exposures:
add_to_list(exposures, if_exposures)
return exposures
def exposure_units_for_layer(
self, exposure_key, layer_geometry_key, layer_mode_key):
"""Get hazard categories form layer_geometry_key
:param exposure_key: The exposure key
:type exposure_key: str
:param layer_geometry_key: The geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:returns: List of exposure unit
:rtype: list
"""
exposure_units = []
for impact_function in self.impact_functions:
if_exposure_units = impact_function.metadata().\
exposure_units_for_layer(
exposure_key, layer_geometry_key, layer_mode_key)
if if_exposure_units:
add_to_list(exposure_units, if_exposure_units)
return exposure_units
def continuous_hazards_units_for_layer(
self, hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key):
"""Get continuous hazard units.
:param hazard_key: The hazard key
:type hazard_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of continuous hazard unit
:rtype: list
"""
continuous_hazards_units = []
for impact_function in self.impact_functions:
if_continuous_hazard_units = impact_function.metadata().\
continuous_hazards_units_for_layer(
hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key)
if if_continuous_hazard_units:
add_to_list(
continuous_hazards_units, if_continuous_hazard_units)
return continuous_hazards_units
def vector_hazards_classifications_for_layer(
self, hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key):
"""Get continuous hazard units.
:param hazard_key: The hazard key
:type hazard_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of vector_hazards_classifications
:rtype: list
"""
vector_hazards_classifications = []
for impact_function in self.impact_functions:
if_vector_hazards_classifications = impact_function.metadata().\
vector_hazards_classifications_for_layer(
hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key)
if if_vector_hazards_classifications:
add_to_list(
vector_hazards_classifications,
if_vector_hazards_classifications)
return vector_hazards_classifications
def raster_hazards_classifications_for_layer(
self, hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key):
"""Get continuous hazard units.
:param hazard_key: The hazard key
:type hazard_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of raster_hazards_classifications
:rtype: list
"""
raster_hazards_classifications = []
for impact_function in self.impact_functions:
if_vector_hazards_classifications = impact_function.metadata().\
raster_hazards_classifications_for_layer(
hazard_key, layer_geometry_key, layer_mode_key,
hazard_category_key)
if if_vector_hazards_classifications:
add_to_list(
raster_hazards_classifications,
if_vector_hazards_classifications)
return raster_hazards_classifications
def available_hazards(self, hazard_category_key, ascending=True):
"""available_hazards from hazard_category_key
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: List of available hazards
:rtype: list
"""
hazards = []
for impact_function in self.impact_functions:
if_hazards = impact_function.metadata(). \
available_hazards(hazard_category_key)
if if_hazards:
add_to_list(hazards, if_hazards)
# make it sorted
if ascending and hazards:
hazards = sorted(hazards, key=lambda k: k['key'])
return hazards
def available_exposures(self, ascending=True):
"""Return a list of valid available exposures
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: A list of exposures full metadata.
:rtype: list
"""
exposures = []
for impact_function in self.impact_functions:
if_exposures = impact_function.metadata().available_exposures()
if if_exposures:
add_to_list(exposures, if_exposures)
# make it sorted
if ascending and exposures:
exposures = sorted(exposures, key=lambda k: k['key'])
return exposures
def functions_for_constraint(
self, hazard_key, exposure_key, hazard_geometry_key=None,
exposure_geometry_key=None, hazard_mode_key=None,
exposure_mode_key=None):
"""Obtain all functions that match with the constraints
:param hazard_key: The hazard key
:type hazard_key: str
:param exposure_key: the exposure key
:type exposure_key: str
:param hazard_geometry_key: The hazard geometry key
:type hazard_geometry_key: str
:param exposure_geometry_key: The exposure geometry key
:type exposure_geometry_key: str
:param hazard_mode_key: The hazard mode key
:type hazard_mode_key: str
:param exposure_mode_key: The exposure mode key
:type exposure_mode_key: str
:returns: List of matched Impact Function
:rtype: list
"""
impact_functions = []
for impact_function in self.impact_functions:
if impact_function.metadata().is_function_for_constraint(
hazard_key, exposure_key, hazard_geometry_key,
exposure_geometry_key, hazard_mode_key, exposure_mode_key):
impact_functions.append(impact_function.metadata().as_dict())
return impact_functions
def available_hazard_constraints(
self, hazard_key, hazard_category_key):
"""Get hazard constraints for hazard_key and hazard_category_key
:param hazard_key: The hazard key
:type hazard_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of tuple of layer_mode and layer_geometry
:rtype: list
"""
hazard_constraints = []
for impact_function in self.impact_functions:
if_hazard_constraints = impact_function.metadata().\
available_hazard_constraints(
hazard_key, hazard_category_key)
if if_hazard_constraints:
add_to_list(hazard_constraints, if_hazard_constraints)
return hazard_constraints
def available_exposure_constraints(self, exposure_key):
"""Get exposure constraints for exposure_key.
:param exposure_key: The exposure key
:type exposure_key: str
:returns: List of tuple of layer_mode and layer_geometry
:rtype: list
"""
exposure_constraints = []
for impact_function in self.impact_functions:
if_exposure_constraints = impact_function.metadata(). \
available_exposure_constraints(exposure_key)
if if_exposure_constraints:
add_to_list(exposure_constraints, if_exposure_constraints)
return exposure_constraints
def available_hazard_layer_modes(
self, hazard_key, hazard_geometry_key, hazard_category_key):
"""Return all available layer_mode.
:param hazard_key: The hazard key
:type hazard_key: str
:param hazard_geometry_key: The hazard geometry key
:type hazard_geometry_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:returns: List of layer_mode
:rtype: list
"""
layer_modes = []
for impact_function in self.impact_functions:
if_hazard_layer_mode = impact_function.metadata().\
available_hazard_layer_mode(
hazard_key, hazard_geometry_key, hazard_category_key)
if if_hazard_layer_mode:
add_to_list(layer_modes, if_hazard_layer_mode)
return layer_modes
def available_exposure_layer_modes(
self, exposure_key, exposure_geometry_key):
"""Get exposure layer mode for exposure_key.
:param exposure_key: The exposure key
:type exposure_key: str
:param exposure_geometry_key: The exposure geometry key
:type exposure_geometry_key: str
:returns: List of layer_mode
:rtype: list
"""
layer_modes = []
for impact_function in self.impact_functions:
if_exposure_layer_mode = impact_function.metadata().\
available_exposure_layer_mode(
exposure_key, exposure_geometry_key)
if if_exposure_layer_mode:
add_to_list(layer_modes, if_exposure_layer_mode)
return layer_modes
def hazard_additional_keywords(
self, layer_mode_key=None, layer_geometry_key=None,
hazard_category_key=None, hazard_key=None):
"""Return additional_keywords for hazard.
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param hazard_category_key: The hazard category key
:type hazard_category_key: str
:param hazard_key: The hazard key
:type hazard_key: str
:returns: List of additional keywords
:rtype: list
"""
additional_keywords = []
for impact_function in self.impact_functions:
if_additional_keywords = impact_function.metadata().\
hazard_additional_keywords(
layer_mode_key=layer_mode_key,
layer_geometry_key=layer_geometry_key,
hazard_category_key=hazard_category_key,
hazard_key=hazard_key)
if if_additional_keywords:
add_to_list(additional_keywords, if_additional_keywords)
return additional_keywords
def exposure_additional_keywords(
self, layer_mode_key=None, layer_geometry_key=None,
exposure_key=None):
"""Return additional_keywords for exposure.
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param exposure_key: The hazard key
:type exposure_key: str
:returns: List of additional keywords
:rtype: list
"""
additional_keywords = []
for impact_function in self.impact_functions:
if_additional_keywords = impact_function.metadata().\
exposure_additional_keywords(
layer_mode_key=layer_mode_key,
layer_geometry_key=layer_geometry_key,
exposure_key=exposure_key)
if if_additional_keywords:
add_to_list(additional_keywords, if_additional_keywords)
return additional_keywords
def exposure_class_fields(
self, layer_mode_key=None, layer_geometry_key=None,
exposure_key=None):
"""Return list of exposure class field.
:param layer_mode_key: The layer mode key
:type layer_mode_key: str
:param layer_geometry_key: The layer geometry key
:type layer_geometry_key: str
:param exposure_key: The exposure key
:type exposure_key: str
:returns: List of exposure class field.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
if_exposure_class_field = impact_function.metadata(). \
exposure_class_fields(
layer_mode_key=layer_mode_key,
layer_geometry_key=layer_geometry_key,
exposure_key=exposure_key)
if if_exposure_class_field:
add_to_list(result, if_exposure_class_field)
return result
class ImpactFunctionManager(object):
"""Class for managing metadata for all impact function.
.. versionadded:: 2.1
"""
def __init__(self):
"""Constructor."""
# Singleton Registry to track all the registered Impact Functions
self.registry = Registry()
@property
def impact_functions(self):
"""Return all registered impact functions."""
return self.registry.impact_functions
def get_instance(self, class_name):
"""Return an instance of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if = if_manager.get_instance(if_class_name)
:param class_name: The name of IF class.
:type class_name: str
:return: Impact function instance that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_instance(class_name)
def get_class(self, class_name):
"""Return the class of an impact function given its class name.
.. example::
if_manager = ImpactFunctionManager()
if_class_name = 'FloodBuildingImpactFunction'
if_class = if_manager.get_class(if_class_name)
:param class_name: the name of IF class
:type class_name: str
:return: impact function class that matches the argument.
:rtype: safe.impact_functions.base.ImpactFunction
"""
return self.registry.get_class(class_name)
def get(self, impact_function_id):
"""Return an instance of an impact function given its ID.
This is a preferred way to get an instance of IF. IF should have a
unique human readable ID in their metadata.
.. example::
if_manager = ImpactFunctionManager()
if_id = 'FloodBuildingImpactFunction'
if = if_manager.get(if_id)
:param impact_function_id: The ID of impact function in the metadata.
:type impact_function_id: str
:return An Impact function instance that has matched id.
:rtype: safe.impact_functions.base.ImpactFunction
"""
impact_functions = self.registry.filter_by_metadata(
'id', impact_function_id)
if len(impact_functions) == 0:
raise Exception('Impact function with ID: %s not found' %
impact_function_id)
elif len(impact_functions) > 1:
raise Exception(
'There are some Impact Functions that have the same ID: %s' %
impact_function_id)
return impact_functions[0].instance()
def filter(self, hazard_metadata=None, exposure_metadata=None):
"""Get available impact functions from hazard and exposure metadata.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_metadata = {
'subcategory': hazard_flood,
'units': unit_wetdry,
'layer_constraints': layer_vector_polygon
}
exposure_metadata = {
'subcategory': exposure_structure,
'units': unit_building_type_type,
'layer_constraints': layer_vector_polygon
}
ifs = if_manager.filter(hazard_metadata, exposure_metadata)
:param hazard_metadata: The metadata of the hazard.
:type hazard_metadata: dict
:param exposure_metadata: The metadata of the exposure.
:type exposure_metadata: dict
"""
return self.registry.filter(hazard_metadata, exposure_metadata)
def filter_by_keywords(self, hazard_keywords=None, exposure_keywords=None):
"""Get available impact functions from hazard and exposure keywords.
Disabled impact function will not be loaded.
.. example::
if_manager = ImpactFunctionManager()
hazard_keywords = {
'subcategory': 'flood',
'units': 'wetdry',
'layer_type': 'vector',
'data_type': 'polygon'
}
exposure_keywords = {
'subcategory': 'structure',
'units': 'building_type',
'layer_type': 'vector',
'data_type': 'polygon'
}
ifs = if_manager.filter_by_keywords(hazard_keywords,
exposure_keywords)
:param hazard_keywords: The keywords of the hazard.
:type hazard_keywords: dict
:param exposure_keywords: The keywords of the exposure.
:type exposure_keywords: dict
"""
return self.registry.filter_by_keyword_string(hazard_keywords,
exposure_keywords)
def filter_by_metadata(self, metadata_key, metadata_value):
"""Return IF classes given its metadata key and value.
.. example::
if_manager = ImpactFunctionManager()
metadata_key = 'author'
metadata_value = 'Akbar Gumbira'
ifs = if_manager.filter_by_metadata(metadata_key,
metadata_value)
:param metadata_key: The key of the metadata e.g 'id', 'name'
:type metadata_key: str
:param metadata_value: The value of the metadata, e.g for the key
'id' the value is 'FloodNativePolygonExperimentalFunction'
:type metadata_value: str, dict
:return: Impact Function classes match the arguments
:rtype: list
"""
return self.registry.filter_by_metadata(metadata_key, metadata_value)
@staticmethod
def get_function_id(impact_function):
"""Get the ID of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The ID of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get('id', None)
@staticmethod
def get_function_title(impact_function):
"""Get title of the impact function.
:param impact_function: Class of an impact function
:type impact_function: safe.impact_functions.base.ImpactFunction
:returns: The title of the impact function specified in its metadata.
:rtype: str
"""
return impact_function.metadata().as_dict().get('title', None)
@staticmethod
def get_function_name(impact_function):
"""Get the human readable name of the impact function.
:param impact_function: Class of an impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.metadata().as_dict().get('name', None)
@staticmethod
def get_function_type(impact_function):
"""Return the impact function type.
:param impact_function: The impact function.
:type impact_function: safe.impact_functions.base.ImpactFunction
"""
return impact_function.function_type()
def allowed_subcategories(self, category=None):
"""Determine allowed subcategories, optionally filtered by category.
:param category: Optional category which will be used to subset the
allowed subcategories. If omitted, all supported subcategories will
be returned (for both hazard and exposure). Default is None.
:type category: str
:returns: A list of strings is returned.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
my_allowed_subcategories = impact_function.metadata()\
.allowed_subcategories(category)
result = add_to_list(result, my_allowed_subcategories)
return result
def allowed_data_types(self, subcategory):
"""Determine allowed data types for all impact functions.
It uses subcategory as a filter.
Passing a subcategory is required otherwise the context of the
data_type(s) would be ambiguous (i.e. whether they can be used as
exposure or hazards).
:param subcategory: Required subcategory which will be used to subset
the allowed data_types.
:type subcategory: str
:returns: A list of one or more strings is returned.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
my_allowed_data_types = impact_function.metadata() \
.allowed_data_types(subcategory)
result = add_to_list(result, my_allowed_data_types)
return result
def allowed_units(self, subcategory, data_type):
"""Determine allowed units from all impact functions.
It uses subcategory and data_type as a filter.
.. note:: One data_type could be used by more than one subcategory,
so we need to explicitly pass the subcategory to this function.
:param subcategory: Required subcategory which will be used to subset
the allowed data_types.
:type subcategory: str
:param data_type: Required data_type which will be used to subset the
allowed units.
:type data_type: str
:returns: A list of one or more strings is returned.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
my_allowed_units = impact_function.metadata()\
.allowed_units(subcategory, data_type)
result = add_to_list(result, my_allowed_units)
return result
def units_for_layer(self, subcategory, layer_type, data_type):
"""Get the valid units for a layer.
Example usage::
foo = units_for_layer('flood', 'vector', 'polygon')
print foo
Would output this::
{'Wet/Dry': ['wet','dry']}
While passing a raster layer::
foo = units_for_layer('flood', 'raster', None)
print foo
Might return this::
{
'metres': None,
'feet': None,
'wet/dry': ['wet', 'dry'],
}
In the returned dictionary the keys are unit types and
the values are the categories (if any) applicable for that unit type.
:param subcategory: The subcategory for this layer.
:type subcategory: str
:param layer_type: The type for this layer. Valid values would be,
'raster' or 'vector'.
:type layer_type: str
:param data_type: The data_type for this layer. Valid possibilities
would be 'numeric' (for raster), point, line, polygon
(for vectors).
:type data_type: str
:returns: A dictionary as per the example above where each key
represents a unit and each value that is not None represents a
list of categories.
:rtype: dict
"""
result = []
for impact_function in self.impact_functions:
my_units = impact_function.metadata()\
.units_for_layer(subcategory, layer_type, data_type)
result = add_to_list(result, my_units)
return result
def categories_for_layer(self, layer_type, data_type):
"""Return a list of valid categories for a layer.
This method is used to determine if a given layer can be used as a
hazard, exposure or aggregation layer.
Example usage::
foo = categories_for_layer('vector', 'polygon')
print foo
Would output this::
['hazard', 'exposure', 'aggregation']
While passing a vector point layer::
foo = units_for_layer('vector', 'point')
print foo
Might return this::
['hazard', 'exposure']
In the returned the values are categories (if any) applicable for that
layer_type and data_type.
:param layer_type: The type for this layer. Valid values would be,
'raster' or 'vector'.
:type layer_type: str
:param data_type: The data_type for this layer. Valid possibilities
would be 'numeric' (for raster), point, line, polygon
(for vectors).
:type data_type: str
:returns: A list as per the example above where each value represents
a valid category.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
categories = impact_function.metadata()\
.categories_for_layer(layer_type, data_type)
result = add_to_list(result, categories)
categories_definitions = []
for category in result:
if category == 'hazard':
categories_definitions.append(hazard_definition)
elif category == 'exposure':
categories_definitions.append(exposure_definition)
else:
raise Exception('Unsupported categories')
return categories_definitions
def subcategories_for_layer(self, category, layer_type, data_type):
"""Return a list of valid subcategories for a layer.
This method is used to determine which subcategories a given layer
can be for.
Example usage::
foo = subcategories_for_layer('vector', 'polygon', 'exposure')
print foo
Would output this::
['flood', 'landuse']
In the returned the values are categories (if any) applicable for that
layer_type and data_type.
:param layer_type: The type for this layer. Valid values would be,
'raster' or 'vector'.
:type layer_type: str
:param data_type: The data_type for this layer. Valid possibilities
would be 'numeric' (for raster), point, line, polygon
(for vectors).
:type data_type: str
:param category: The category for this layer. Valid possibilities
would be 'hazard', 'exposure' and 'aggregation'.
:type category: str
:returns: A list as per the example above where each value represents
a valid subcategory.
:rtype: list
"""
result = []
for impact_function in self.impact_functions:
subcategories = impact_function.metadata()\
.subcategories_for_layer(category, layer_type, data_type)
result = add_to_list(result, subcategories)
return result
def get_available_hazards(self, impact_function=None, ascending=True):
"""Return a list of valid available hazards for an impact function.
If impact_function is None, return all available hazards
.. versionadded:: 2.2
:param impact_function: Impact Function object.
:type impact_function: FunctionProvider
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: A list of hazard full metadata.
:rtype: list
"""
hazards = []
if impact_function is None:
for impact_function in self.impact_functions:
add_to_list(hazards, impact_function.metadata().get_hazards())
else:
# noinspection PyUnresolvedReferences
hazards = impact_function.metadata().get_hazards()
# make it sorted
if ascending:
hazards = sorted(hazards, key=lambda k: k['id'])
return hazards
def get_functions_for_hazard(self, hazard):
"""Return all function metadata that has hazard in their metadata.
.. versionadded:: 2.2
:param hazard: Dictionary that represent the hazard
:type hazard: dict
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_hazard(hazard):
impact_functions_metadata.append(
impact_function.metadata().as_dict())
return impact_functions_metadata
def get_functions_for_hazard_id(self, hazard_id):
"""Return all function metadata that has hazard_id in their metadata.
.. versionadded:: 2.2
:param hazard_id: String that represent the hazard id.
:type hazard_id: str
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_hazard_id(hazard_id):
impact_functions_metadata.append(
impact_function.metadata().as_dict())
return impact_functions_metadata
def get_available_exposures(self, impact_function=None, ascending=True):
"""Return a list of valid available exposures for an impact function.
If impact_function is None, return all available exposures
.. versionadded:: 2.2
:param impact_function: Impact Function object.
:type impact_function: FunctionProvider
:param ascending: Sort ascending or not.
:type ascending: bool
:returns: A list of exposures full metadata.
:rtype: list
"""
exposures = []
if impact_function is None:
for impact_function in self.impact_functions:
add_to_list(exposures,
impact_function.metadata().get_exposures())
else:
# noinspection PyUnresolvedReferences
exposures = impact_function.metadata().get_exposures()
# make it sorted
if ascending:
exposures = sorted(exposures, key=lambda k: k['id'])
return exposures
def get_functions_for_exposure(self, exposure):
"""Return all function metadata that has exposure in their metadata.
.. versionadded:: 2.2
:param exposure: Dictionary that represent the exposure
:type exposure: dict
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_exposure(exposure):
impact_functions_metadata.append(
impact_function.metadata().as_dict())
return impact_functions_metadata
def get_functions_for_exposure_id(self, exposure_id):
"""Return all function metadata that has exposure_id in their metadata.
.. versionadded:: 2.2
:param exposure_id: String that represent the exposure id.
:type exposure_id: str
:return: List of impact function metadata.
:rtype: list
"""
impact_functions_metadata = []
for impact_function in self.impact_functions:
if impact_function.metadata().has_exposure_id(exposure_id):
impact_functions_metadata.append(
impact_function.metadata().as_dict())
return impact_functions_metadata
def get_functions_for_constraint(self,
hazard,
exposure,
hazard_constraint=None,
exposure_constraint=None):
"""Get all impact functions that match the hazard n exposure metadata.
:param hazard: The hazard metadata.
:type hazard: dict
:param exposure: The exposure metadata.
:type exposure: dict
:param hazard_constraint:
:param exposure_constraint:
:return:
"""
result = []
if_hazard = self.get_functions_for_hazard(hazard)
if_exposure = self.get_functions_for_exposure(exposure)
if_exposure_id = [function['id'] for function in if_exposure]
for f in if_hazard:
if f['id'] in if_exposure_id:
if (not hazard_constraint or hazard_constraint
in f['categories']['hazard']['layer_constraints']):
if (not exposure_constraint or exposure_constraint in
f['categories']['exposure']['layer_constraints']):
result.append(f)
return result
