def generate_impact_report(impact_function, iface):
"""Generate the impact report from an impact function.
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
"""
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_pdf)
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function)
# generate report folder
# no other option for now
# TODO: retrieve the information from data store
if isinstance(impact_function.datastore.uri, QDir):
layer_dir = impact_function.datastore.uri.absolutePath()
else:
# No other way for now
return
# We will generate it on the fly without storing it after datastore
# supports
impact_report.output_folder = os.path.join(layer_dir, 'output')
return impact_report.process_components()
def generate_impact_report(cli_arguments, impact_function, iface):
"""Generate the impact report from an impact function.
:param cli_arguments: User inputs.
:type cli_arguments: CommandLineArguments
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
.. versionadded:: 4.0
"""
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_pdf)
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function)
impact_report.output_folder = cli_arguments.output_dir
return impact_report.process_components()
def generate_impact_map_report(impact_function, iface):
"""Generate impact map pdf from impact function.
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
"""
# get the extra layers that we need
extra_layers = []
print_atlas = setting('print_atlas_report', False, bool)
if print_atlas:
extra_layers.append(impact_function.aggregation_summary)
# get the hazard and exposure type
hazard_layer = impact_function.hazard
exposure_layer = impact_function.exposure
hazard_type = layer_definition_type(hazard_layer)
exposure_type = layer_definition_type(exposure_layer)
# create impact report instance
report_metadata = ReportMetadata(metadata_dict=update_template_component(
component=map_report, hazard=hazard_type, exposure=exposure_type))
impact_report = ImpactReport(iface,
report_metadata,
impact_function=impact_function,
extra_layers=extra_layers)
# Get other setting
logo_path = setting('organisation_logo_path', None, str)
impact_report.inasafe_context.organisation_logo = logo_path
disclaimer_text = setting('reportDisclaimer', None, str)
impact_report.inasafe_context.disclaimer = disclaimer_text
north_arrow_path = setting('north_arrow_path', None, str)
impact_report.inasafe_context.north_arrow = north_arrow_path
# get the extent of impact layer
impact_report.qgis_composition_context.extent = \
impact_function.impact.extent()
# generate report folder
# no other option for now
# TODO: retrieve the information from data store
if isinstance(impact_function.datastore.uri, QDir):
layer_dir = impact_function.datastore.uri.absolutePath()
else:
# No other way for now
return
# We will generate it on the fly without storing it after datastore
# supports
impact_report.output_folder = os.path.join(layer_dir, 'output')
return impact_report.process_components()
def generate_pdf_report(self, impact_function, iface, scenario_name):
"""Generate and store map and impact report from impact function.
Directory where the report stored is specified by user input from the
dialog. This function is adapted from analysis_utilities.py
:param impact_function: Impact Function.
:type impact_function: ImpactFunction()
:param iface: iface.
:type iface: iface
:param scenario_name: name of the scenario
:type scenario_name: str
"""
# output folder
output_dir = self.output_directory.text()
file_path = os.path.join(output_dir, scenario_name)
# create impact table report instance
table_report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_pdf)
impact_table_report = ImpactReport(
iface,
table_report_metadata,
impact_function=impact_function)
impact_table_report.output_folder = file_path
impact_table_report.process_components()
# create impact map report instance
map_report_metadata = ReportMetadata(
metadata_dict=update_template_component(map_report))
impact_map_report = ImpactReport(
iface,
map_report_metadata,
impact_function=impact_function)
# TODO: Get from settings file
# get the extent of impact layer
impact_map_report.qgis_composition_context.extent = \
impact_function.impact.extent()
impact_map_report.output_folder = file_path
impact_map_report.process_components()
def generate_pdf_report(self, impact_function, iface, scenario_name):
"""Generate and store map and impact report from impact function.
Directory where the report stored is specified by user input from the
dialog. This function is adapted from analysis_utilities.py
:param impact_function: Impact Function.
:type impact_function: ImpactFunction()
:param iface: iface.
:type iface: iface
:param scenario_name: name of the scenario
:type scenario_name: str
"""
# output folder
output_dir = self.output_directory.text()
file_path = os.path.join(output_dir, scenario_name)
# create impact table report instance
table_report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_pdf)
impact_table_report = ImpactReport(
iface,
table_report_metadata,
impact_function=impact_function)
impact_table_report.output_folder = file_path
impact_table_report.process_components()
# create impact map report instance
map_report_metadata = ReportMetadata(
metadata_dict=update_template_component(map_report))
impact_map_report = ImpactReport(
iface,
map_report_metadata,
impact_function=impact_function)
# TODO: Get from settings file
# get the extent of impact layer
impact_map_report.qgis_composition_context.extent = \
impact_function.impact.extent()
impact_map_report.output_folder = file_path
impact_map_report.process_components()
def test_hello_world_report(self):
"""Test for creating hello world report.
.. versionadded:: 4.1
"""
QGIS_APP, CANVAS, IFACE, PARENT = get_qgis_app()
output_folder = self.fixtures_dir('../output/hello_world_report')
# sneaky monkey patch
ImpactFunction.outputs = ['Not implemented']
impact_function = ImpactFunction()
template_metadata = ReportMetadata(
metadata_dict=hello_world_metadata_html)
impact_report = ImpactReport(iface=IFACE,
template_metadata=template_metadata,
impact_function=impact_function)
impact_report.output_folder = output_folder
impact_report.process_components()
def test_hello_world_report(self):
"""Test for creating hello world report.
.. versionadded:: 4.1
"""
QGIS_APP, CANVAS, IFACE, PARENT = get_qgis_app(qsetting=INASAFE_TEST)
output_folder = self.fixtures_dir('../output/hello_world_report')
# sneaky monkey patch
ImpactFunction.outputs = ['Not implemented']
impact_function = ImpactFunction()
template_metadata = ReportMetadata(
metadata_dict=hello_world_metadata_html)
impact_report = ImpactReport(
iface=IFACE,
template_metadata=template_metadata,
impact_function=impact_function)
impact_report.output_folder = output_folder
impact_report.process_components()
def generate_impact_map_report(impact_function, iface):
"""Generate impact map pdf from impact function.
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
"""
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=map_report_component(report_a4_blue))
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function)
# Get other setting
logo_path = setting('organisation_logo_path', None, str)
impact_report.inasafe_context.organisation_logo = logo_path
disclaimer_text = setting('reportDisclaimer', None, str)
impact_report.inasafe_context.disclaimer = disclaimer_text
north_arrow_path = setting('north_arrow_path', None, str)
impact_report.inasafe_context.north_arrow = north_arrow_path
# get the extent of impact layer
impact_report.qgis_composition_context.extent = \
impact_function.impact.extent()
# generate report folder
# no other option for now
# TODO: retrieve the information from data store
if isinstance(impact_function.datastore.uri, QDir):
layer_dir = impact_function.datastore.uri.absolutePath()
else:
# No other way for now
return
# We will generate it on the fly without storing it after datastore
# supports
impact_report.output_folder = os.path.join(layer_dir, 'output')
return impact_report.process_components()
def generate_infographic_report(impact_function, iface):
"""Generate impact map pdf from impact function.
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
"""
# get the extra layers that we need
extra_layers = []
print_atlas = setting('print_atlas_report', False, bool)
if print_atlas:
extra_layers.append(impact_function.aggregation_summary)
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=update_template_component(infographic_report))
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function,
extra_layers=extra_layers)
# get the extent of impact layer
impact_report.qgis_composition_context.extent = \
impact_function.impact.extent()
# generate report folder
# no other option for now
# TODO: retrieve the information from data store
if isinstance(impact_function.datastore.uri, QDir):
layer_dir = impact_function.datastore.uri.absolutePath()
else:
# No other way for now
return
# We will generate it on the fly without storing it after datastore
# supports
impact_report.output_folder = os.path.join(layer_dir, 'output')
return impact_report.process_components()
def generate_infographic_report(impact_function, iface):
"""Generate impact map pdf from impact function.
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
"""
# get the extra layers that we need
extra_layers = []
print_atlas = setting('print_atlas_report', False, bool)
if print_atlas:
extra_layers.append(impact_function.aggregation_summary)
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=update_template_component(infographic_report))
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function,
extra_layers=extra_layers)
# get the extent of impact layer
impact_report.qgis_composition_context.extent = \
impact_function.impact.extent()
# generate report folder
# no other option for now
# TODO: retrieve the information from data store
if isinstance(impact_function.datastore.uri, QDir):
layer_dir = impact_function.datastore.uri.absolutePath()
else:
# No other way for now
return
# We will generate it on the fly without storing it after datastore
# supports
impact_report.output_folder = os.path.join(layer_dir, 'output')
return impact_report.process_components()
def generate_impact_map_report(cli_arguments, impact_function, iface):
"""Generate impact map pdf from impact function.
:param cli_arguments: User inputs.
:type cli_arguments: CommandLineArguments
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
.. versionadded:: 4.0
"""
layers = [impact_function.hazard, impact_function.exposure]
aggregation_layer = impact_function.aggregation
if aggregation_layer:
layers.append(aggregation_layer)
layer_registry = QgsMapLayerRegistry.instance()
layer_registry.addMapLayers(layers)
layer_registry.addMapLayers(impact_function.outputs)
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=update_template_component(map_report)
)
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function)
# get the extent of impact layer
impact_report.qgis_composition_context.extent = \
impact_function.impact.extent()
# set the ouput folder
impact_report.output_folder = cli_arguments.output_dir
return impact_report.process_components()
def test_earthquake_population_without_aggregation(self):
"""Testing Earthquake in Population without aggregation.
.. versionadded:: 4.0
"""
output_folder = self.fixtures_dir('../output/earthquake_population')
# Classified vector with building-points
shutil.rmtree(output_folder, ignore_errors=True)
hazard_layer = load_test_raster_layer('hazard', 'earthquake.tif')
exposure_layer = load_test_raster_layer('exposure',
'pop_binary_raster_20_20.asc')
impact_function = ImpactFunction()
impact_function.exposure = exposure_layer
impact_function.hazard = hazard_layer
impact_function.crs = QgsCoordinateReferenceSystem(4326)
impact_function.prepare()
return_code, message = impact_function.run()
self.assertEqual(return_code, ANALYSIS_SUCCESS, message)
report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_html)
impact_report = ImpactReport(IFACE,
report_metadata,
impact_function=impact_function)
impact_report.output_folder = output_folder
return_code, message = impact_report.process_components()
self.assertEqual(return_code, ImpactReport.REPORT_GENERATION_SUCCESS,
message)
"""Checking generated context."""
empty_component_output_message = 'Empty component output'
# Check Analysis Summary
analysis_summary = impact_report.metadata.component_by_key(
general_report_component['key'])
""":type: safe.report.report_metadata.Jinja2ComponentsMetadata"""
expected_context = {
'table_header':
(u'Estimated Number of people affected per MMI intensity'),
'header':
u'General Report',
'summary': [{
'header_label':
u'Hazard Zone',
'rows': [{
'numbers': ['0'],
'name': u'X',
'key': 'X'
}, {
'numbers': ['0'],
'name': u'IX',
'key': 'IX'
}, {
'numbers': ['200'],
'name': u'VIII',
'key': 'VIII'
}, {
'numbers': ['0'],
'name': u'VII',
'key': 'VII'
}, {
'numbers': ['0'],
'name': u'VI',
'key': 'VI'
}, {
'numbers': ['0'],
'name': u'V',
'key': 'V'
}, {
'numbers': ['0'],
'name': u'IV',
'key': 'IV'
}, {
'numbers': ['0'],
'name': u'III',
'key': 'III'
}, {
'numbers': ['0'],
'name': u'II',
'key': 'II'
}, {
'numbers': ['0'],
'name': u'I',
'key': 'I'
}, {
'as_header': True,
'key': 'total_exposed_field',
'name': u'Total Exposed',
'numbers': ['200']
}],
'value_labels': [u'Count']
}, {
'header_label':
u'Population',
'rows': [{
'numbers': ['200'],
'name': u'Affected',
'key': 'total_affected_field',
}, {
'key': 'total_not_affected_field',
'name': u'Not Affected',
'numbers': ['0']
}, {
'key': 'total_not_exposed_field',
'name': u'Not Exposed',
'numbers': ['0']
}, {
'numbers': ['200'],
'name': u'Displaced',
'key': 'displaced_field'
}, {
'numbers': ['0 - 100'],
'name': u'Fatalities',
'key': 'fatalities_field'
}],
'value_labels': [u'Count']
}],
'notes': [
u'Exposed People: People who are present in hazard zones and '
u'are thereby subject to potential losses. In InaSAFE, people '
u'who are exposed are those people who are within the extent '
u'of the hazard.',
u'Affected People: People who are affected by a hazardous '
u'event. People can be affected directly or indirectly. '
u'Affected people may experience short-term or long-term '
u'consequences to their lives, livelihoods or health and in '
u'the economic, physical, social, cultural and environmental '
u'assets. In InaSAFE, people who are killed during the event '
u'are also considered affected.',
u'Displaced People: Displaced people are people who, for '
u'different reasons and circumstances because of risk or '
u'disaster, have to leave their place of residence. '
u'In InaSAFE, demographic and minimum needs reports are based '
u'on displaced / evacuated people.'
]
}
actual_context = analysis_summary.context
self.assertDictEqual(expected_context, actual_context)
self.assertTrue(analysis_summary.output,
empty_component_output_message)
report_metadata = ReportMetadata(metadata_dict=infographic_report)
infographic_impact_report = ImpactReport(
IFACE, report_metadata, impact_function=impact_function)
infographic_impact_report.output_folder = output_folder
return_code, message = infographic_impact_report.process_components()
self.assertEqual(return_code, ImpactReport.REPORT_GENERATION_SUCCESS,
message)
# check population pie chart if we have 100% donut slice
population_chart_svg = (
infographic_impact_report.metadata.component_by_key(
population_chart_svg_component['key']))
expected_slices = [{
'value':
200,
'show_label':
True,
'center': (224.0, 128.0),
'stroke_opacity':
1,
'path':
'M128.000000,0.000000a128.000000,128.000000 0 0 1 '
'0.000000,256.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,-128.000000Z',
'percentage':
100,
'label':
u'VIII',
'stroke':
u'#ff7000',
'label_position': (256, 0),
'fill':
u'#ff7000'
}, {
'value':
100,
'show_label':
False,
'center': (32.0, 128.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'-0.000000,-256.000000l0.000000,64.000000a64.000000,'
'64.000000 0 0 0 0.000000,128.000000Z',
'percentage':
50.0,
'label':
'',
'stroke':
u'#ff7000',
'label_position': (256, 0),
'fill':
u'#ff7000'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'Total Not Affected',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#1a9641'
}]
actual_context = population_chart_svg.context['context']
actual_slices = actual_context.slices
self.assertEqual(expected_slices, actual_slices)
self.assertTrue(population_chart_svg.output,
empty_component_output_message)
shutil.rmtree(output_folder, ignore_errors=True)
def generate_impact_map_report(impact_function, iface):
"""Generate impact map pdf from impact function.
:param impact_function: The impact function used.
:type impact_function: ImpactFunction
:param iface: QGIS QGisAppInterface instance.
:type iface: QGisAppInterface
"""
# get the extra layers that we need
extra_layers = []
print_atlas = setting('print_atlas_report', False, bool)
if print_atlas:
extra_layers.append(impact_function.aggregation_summary)
# get the hazard and exposure type
hazard_layer = impact_function.hazard
exposure_layer = impact_function.exposure
hazard_type = layer_definition_type(hazard_layer)
exposure_type = layer_definition_type(exposure_layer)
# create impact report instance
report_metadata = ReportMetadata(
metadata_dict=update_template_component(
component=map_report,
hazard=hazard_type,
exposure=exposure_type))
impact_report = ImpactReport(
iface,
report_metadata,
impact_function=impact_function,
extra_layers=extra_layers)
# Get other setting
logo_path = setting('organisation_logo_path', None, str)
impact_report.inasafe_context.organisation_logo = logo_path
disclaimer_text = setting('reportDisclaimer', None, str)
impact_report.inasafe_context.disclaimer = disclaimer_text
north_arrow_path = setting('north_arrow_path', None, str)
impact_report.inasafe_context.north_arrow = north_arrow_path
# get the extent of impact layer
impact_report.qgis_composition_context.extent = \
impact_function.impact.extent()
# generate report folder
# no other option for now
# TODO: retrieve the information from data store
if isinstance(impact_function.datastore.uri, QDir):
layer_dir = impact_function.datastore.uri.absolutePath()
else:
# No other way for now
return
# We will generate it on the fly without storing it after datastore
# supports
impact_report.output_folder = os.path.join(layer_dir, 'output')
return impact_report.process_components()
def test_earthquake_population_without_aggregation(self):
"""Testing Earthquake in Population without aggregation.
.. versionadded:: 4.0
"""
output_folder = self.fixtures_dir('../output/earthquake_population')
# Classified vector with building-points
shutil.rmtree(output_folder, ignore_errors=True)
hazard_layer = load_test_raster_layer('hazard', 'earthquake.tif')
exposure_layer = load_test_raster_layer('exposure',
'pop_binary_raster_20_20.asc')
impact_function = ImpactFunction()
impact_function.exposure = exposure_layer
impact_function.hazard = hazard_layer
impact_function.prepare()
return_code, message = impact_function.run()
self.assertEqual(return_code, ANALYSIS_SUCCESS, message)
report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_html)
impact_report = ImpactReport(IFACE,
report_metadata,
impact_function=impact_function)
impact_report.output_folder = output_folder
return_code, message = impact_report.process_components()
self.assertEqual(return_code, ImpactReport.REPORT_GENERATION_SUCCESS,
message)
"""Checking generated context"""
empty_component_output_message = 'Empty component output'
# Check Analysis Summary
analysis_summary = impact_report.metadata.component_by_key(
general_report_component['key'])
""":type: safe.report.report_metadata.Jinja2ComponentsMetadata"""
expected_context = {
'table_header':
(u'Estimated Number of people affected per MMI intensity'),
'header':
u'General Report',
'summary': [{
'header_label':
u'Hazard Zone',
'rows': [{
'value': '0',
'name': u'X',
'key': 'X'
}, {
'value': '0',
'name': u'IX',
'key': 'IX'
}, {
'value': '200',
'name': u'VIII',
'key': 'VIII'
}, {
'value': '0',
'name': u'VII',
'key': 'VII'
}, {
'value': '0',
'name': u'VI',
'key': 'VI'
}, {
'value': '0',
'name': u'V',
'key': 'V'
}, {
'value': '0',
'name': u'IV',
'key': 'IV'
}, {
'value': '0',
'name': u'III',
'key': 'III'
}, {
'value': '0',
'name': u'II',
'key': 'II'
}, {
'value': '0',
'name': u'I',
'key': 'I'
}],
'value_label':
u'Count'
}, {
'header_label':
u'Population',
'rows': [{
'value': '200',
'name': u'Displaced',
'key': 'displaced_field'
}, {
'value': '0 - 100',
'name': u'Fatalities',
'key': 'fatalities_field'
}],
'value_label':
u'Count'
}]
}
actual_context = analysis_summary.context
self.assertDictEqual(expected_context, actual_context)
self.assertTrue(analysis_summary.output,
empty_component_output_message)
# check population pie chart if we have 100% donut slice
population_chart_svg = impact_report.metadata.component_by_key(
population_chart_svg_component['key'])
expected_slices = [{
'value':
0,
'show_label':
False,
'center': (128.0, 32.0),
'stroke_opacity':
1,
'path':
'M128.000000,0.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'X',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#dd0000'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 32.0),
'stroke_opacity':
1,
'path':
'M128.000000,0.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'IX',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#ff0000'
}, {
'value':
200,
'show_label':
True,
'center': (224.0, 128.0),
'stroke_opacity':
1,
'path':
'M128.000000,0.000000a128.000000,128.000000 0 0 1 '
'0.000000,256.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,-128.000000Z',
'percentage':
100,
'label':
u'VIII',
'stroke':
u'#ff7000',
'label_position': (256, 0),
'fill':
u'#ff7000'
}, {
'value':
100,
'show_label':
False,
'center': (32.0, 128.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'-0.000000,-256.000000l0.000000,64.000000a64.000000,'
'64.000000 0 0 0 0.000000,128.000000Z',
'percentage':
50.0,
'label':
'',
'stroke':
u'#ff7000',
'label_position': (256, 0),
'fill':
u'#ff7000'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'VII',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#ffa800'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'VI',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#fff000'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'V',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#aaffff'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'IV',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#55ffff'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'III',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#00cfff'
}, {
'value':
0,
'show_label':
False,
'center': (128.0, 224.0),
'stroke_opacity':
1,
'path':
'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage':
0.0,
'label':
u'II',
'stroke':
'#fff',
'label_position': (256, 0),
'fill':
u'#209fff'
}]
actual_context = population_chart_svg.context['context']
actual_slices = actual_context.slices
self.assertEqual(expected_slices, actual_slices)
self.assertTrue(population_chart_svg.output,
empty_component_output_message)
shutil.rmtree(output_folder, ignore_errors=True)
def test_earthquake_population_without_aggregation(self):
"""Testing Earthquake in Population without aggregation.
.. versionadded:: 4.0
"""
output_folder = self.fixtures_dir('../output/earthquake_population')
# Classified vector with building-points
shutil.rmtree(output_folder, ignore_errors=True)
hazard_layer = load_test_raster_layer(
'hazard', 'earthquake.tif')
exposure_layer = load_test_raster_layer(
'exposure', 'pop_binary_raster_20_20.asc')
impact_function = ImpactFunction()
impact_function.exposure = exposure_layer
impact_function.hazard = hazard_layer
impact_function.prepare()
return_code, message = impact_function.run()
self.assertEqual(return_code, ANALYSIS_SUCCESS, message)
report_metadata = ReportMetadata(
metadata_dict=standard_impact_report_metadata_html)
impact_report = ImpactReport(
IFACE,
report_metadata,
impact_function=impact_function)
impact_report.output_folder = output_folder
return_code, message = impact_report.process_components()
self.assertEqual(
return_code, ImpactReport.REPORT_GENERATION_SUCCESS, message)
"""Checking generated context"""
empty_component_output_message = 'Empty component output'
# Check Analysis Summary
analysis_summary = impact_report.metadata.component_by_key(
general_report_component['key'])
""":type: safe.report.report_metadata.Jinja2ComponentsMetadata"""
expected_context = {
'table_header': (
u'Estimated Number of people affected per MMI intensity'),
'header': u'General Report',
'summary': [
{
'header_label': u'Hazard Zone',
'rows': [
{'value': 0, 'name': u'X', 'key': 'X'},
{'value': 0, 'name': u'IX', 'key': 'IX'},
{'value': '200', 'name': u'VIII', 'key': 'VIII'},
{'value': 0, 'name': u'VII', 'key': 'VII'},
{'value': 0, 'name': u'VI', 'key': 'VI'},
{'value': 0, 'name': u'V', 'key': 'V'},
{'value': 0, 'name': u'IV', 'key': 'IV'},
{'value': 0, 'name': u'III', 'key': 'III'},
{'value': 0, 'name': u'II', 'key': 'II'},
{'value': 0, 'name': u'I', 'key': 'I'},
{
'as_header': True,
'key': 'total_field',
'name': u'Total',
'value': '200'
}
],
'value_label': u'Count'
},
{
'header_label': u'Population',
'rows': [
{
'value': '200',
'name': u'Affected',
'key': 'total_affected_field',
}, {
'key': 'total_not_affected_field',
'name': u'Not Affected',
'value': '0'
}, {
'key': 'total_not_exposed_field',
'name': u'Not Exposed',
'value': '0'},
{
'value': '200',
'name': u'Displaced',
'key': 'displaced_field'
}, {
'value': '0 - 100',
'name': u'Fatalities',
'key': 'fatalities_field'
}],
'value_label': u'Count'
}
],
'notes': [
'Exposed People: People who are present in hazard zones and '
'are thereby subject to potential losses. In InaSAFE, people '
'who are exposed are those people who are within the extent '
'of the hazard.',
'Affected People: People who are affected by a hazardous '
'event. People can be affected directly or indirectly. '
'Affected people may experience short-term or long-term '
'consequences to their lives, livelihoods or health and in '
'the economic, physical, social, cultural and environmental '
'assets. In InaSAFE, people who are killed during the event '
'are also considered affected.',
'Displaced People: Displaced people are people who, for '
'different reasons and circumstances because of risk or '
'disaster, have to leave their place of residence. '
'In InaSAFE, demographic and minimum needs reports are based '
'on displaced / evacuated people.'
]
}
actual_context = analysis_summary.context
self.assertDictEqual(expected_context, actual_context)
self.assertTrue(
analysis_summary.output, empty_component_output_message)
report_metadata = ReportMetadata(
metadata_dict=infographic_report)
infographic_impact_report = ImpactReport(
IFACE,
report_metadata,
impact_function=impact_function)
infographic_impact_report.output_folder = output_folder
return_code, message = infographic_impact_report.process_components()
self.assertEqual(
return_code, ImpactReport.REPORT_GENERATION_SUCCESS, message)
# check population pie chart if we have 100% donut slice
population_chart_svg = (
infographic_impact_report.metadata.component_by_key(
population_chart_svg_component['key'])
)
expected_slices = [
{
'value': 200,
'show_label': True,
'center': (224.0, 128.0),
'stroke_opacity': 1,
'path': 'M128.000000,0.000000a128.000000,128.000000 0 0 1 '
'0.000000,256.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,-128.000000Z',
'percentage': 100,
'label': u'VIII',
'stroke': u'#ff7000',
'label_position': (256, 0),
'fill': u'#ff7000'
}, {
'value': 100,
'show_label': False,
'center': (32.0, 128.0),
'stroke_opacity': 1,
'path': 'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'-0.000000,-256.000000l0.000000,64.000000a64.000000,'
'64.000000 0 0 0 0.000000,128.000000Z',
'percentage': 50.0,
'label': '',
'stroke': u'#ff7000',
'label_position': (256, 0),
'fill': u'#ff7000'
}, {
'value': 0,
'show_label': False,
'center': (128.0, 224.0),
'stroke_opacity': 1,
'path': 'M128.000000,256.000000a128.000000,128.000000 0 0 1 '
'0.000000,0.000000l-0.000000,-64.000000a64.000000,'
'64.000000 0 0 0 0.000000,0.000000Z',
'percentage': 0.0,
'label': u'Total Not Affected',
'stroke': '#fff',
'label_position': (256, 0),
'fill': u'#1a9641'
}]
actual_context = population_chart_svg.context['context']
actual_slices = actual_context.slices
self.assertEqual(expected_slices, actual_slices)
self.assertTrue(
population_chart_svg.output, empty_component_output_message)
shutil.rmtree(output_folder, ignore_errors=True)
