def _definition_icon_url(definition):
svg_image_path = resources_path('img', 'definitions',
definition['key'] + '.svg')
png_image_path = resources_path('img', 'definitions',
definition['key'] + '.png')
if exists(svg_image_path):
url = resource_url(svg_image_path)
elif exists(png_image_path):
url = resource_url(png_image_path)
else:
url = None
return url
def _definition_screenshot_url(definition):
jpg_image_path = resources_path('img', 'definitions',
definition['key'] + '_screenshot.jpg')
png_image_path = resources_path('img', 'definitions',
definition['key'] + '_screenshot.png')
if exists(jpg_image_path):
url = resource_url(jpg_image_path)
elif exists(png_image_path):
url = resource_url(png_image_path)
else:
url = None
return url
def _definition_screenshot_url(definition):
jpg_image_path = resources_path(
'img', 'definitions', definition['key'] + '_screenshot.jpg')
png_image_path = resources_path(
'img', 'definitions', definition['key'] + '_screenshot.png')
if exists(jpg_image_path):
url = resource_url(jpg_image_path)
elif exists(png_image_path):
url = resource_url(png_image_path)
else:
url = None
return url
def _definition_icon_url(definition):
if 'key' not in definition:
return None
svg_image_path = resources_path(
'img', 'definitions', definition['key'] + '.svg')
png_image_path = resources_path(
'img', 'definitions', definition['key'] + '.png')
if exists(svg_image_path):
url = resource_url(svg_image_path)
elif exists(png_image_path):
url = resource_url(png_image_path)
else:
url = None
return url
def test_resources_url(self):
"""Test we can get the path as a local url nicely.
.. versionadded:: 3.0
"""
url = resource_url(resources_path('img', 'logos', 'inasafe-logo.png'))
self.assertTrue('file://' in url, url + ' is not valid')
def impact_table_extractor(impact_report, component_metadata):
"""Extracting impact summary of the impact layer.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.0
"""
context = {}
extra_args = component_metadata.extra_args
components_list = resolve_from_dictionary(extra_args, 'components_list')
# TODO: Decide either to use it or not
if not impact_report.impact_function.debug_mode:
# only show experimental MMI Detail when in debug mode
components_list.pop('mmi_detail', None)
context['brand_logo'] = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
for key, component in list(components_list.items()):
context[key] = jinja2_output_as_string(impact_report, component['key'])
context['inasafe_resources_base_dir'] = resources_path()
return context
def action_checklist_report_extractor(impact_report, component_metadata):
"""Extracting action checklist of the impact layer to its own report.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.1
"""
context = {}
extra_args = component_metadata.extra_args
components_list = resolve_from_dictionary(
extra_args, 'components_list')
context['brand_logo'] = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
for key, component in list(components_list.items()):
context[key] = jinja2_output_as_string(
impact_report, component['key'])
context['inasafe_resources_base_dir'] = resources_path()
return context
def analysis_provenance_details_report_extractor(impact_report,
component_metadata):
"""Extracting the main provenance details to its own report.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.1
"""
context = {}
extra_args = component_metadata.extra_args
components_list = resolve_from_dictionary(extra_args, 'components_list')
context['brand_logo'] = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
for key, component in list(components_list.items()):
context[key] = jinja2_output_as_string(impact_report, component['key'])
context['inasafe_resources_base_dir'] = resources_path()
return context
def to_html(self):
"""Render as html.
"""
uri = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
snippet = ('<div class="branding">'
'<img src="%s" title="%s" alt="%s" %s/></div>') % (
uri, 'InaSAFE', 'InaSAFE', self.html_attributes())
return snippet
def test_resources_url(self):
"""Test we can get the path as a local url nicely.
.. versionadded:: 3.0
"""
url = resource_url(
resources_path(
'img', 'logos', 'inasafe-logo.png'))
self.assertTrue(
'file://' in url,
url + ' is not valid')
def to_html(self):
"""Render as html.
"""
uri = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
snippet = (
'<div class="branding">'
'<img src="%s" title="%s" alt="%s" %s/></div>') % (
uri,
'InaSAFE',
'InaSAFE',
self.html_attributes())
return snippet
def population_chart_legend_extractor(impact_report, component_metadata):
"""Extracting legend of population chart.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.2
"""
context = {}
resources_dir = safe_dir(sub_dir='../resources')
context['inasafe_resources_base_dir'] = resources_dir
"""Population Charts"""
population_donut_path = impact_report.component_absolute_output_path(
'population-chart-png')
css_label_classes = []
try:
population_chart_context = impact_report.metadata.component_by_key(
'population-chart').context['context']
"""
:type: safe.report.extractors.infographic_elements.svg_charts.
DonutChartContext
"""
for pie_slice in population_chart_context.slices:
label = pie_slice['label']
if not label:
continue
css_class = label.replace(' ', '').lower()
css_label_classes.append(css_class)
except KeyError:
population_chart_context = None
context['population_chart'] = {
'img_path': resource_url(population_donut_path),
'context': population_chart_context,
'css_label_classes': css_label_classes
}
return context
def population_chart_legend_extractor(impact_report, component_metadata):
"""Extracting legend of population chart.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.2
"""
context = {}
context['inasafe_resources_base_dir'] = resources_path()
"""Population Charts"""
population_donut_path = impact_report.component_absolute_output_path(
'population-chart-png')
css_label_classes = []
try:
population_chart_context = impact_report.metadata.component_by_key(
'population-chart').context['context']
"""
:type: safe.report.extractors.infographic_elements.svg_charts.
DonutChartContext
"""
for pie_slice in population_chart_context.slices:
label = pie_slice['label']
if not label:
continue
css_class = label.replace(' ', '').lower()
css_label_classes.append(css_class)
except KeyError:
population_chart_context = None
context['population_chart'] = {
'img_path': resource_url(population_donut_path),
'context': population_chart_context,
'css_label_classes': css_label_classes
}
return context
def impact_table_extractor(impact_report, component_metadata):
"""Extracting impact summary of the impact layer.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.0
"""
context = {}
extra_args = component_metadata.extra_args
debug_mode = impact_report.impact_function.debug_mode
components_list = resolve_from_dictionary(
extra_args, 'components_list')
# TODO: Decide either to use it or not
if not debug_mode:
# only show experimental MMI Detail when in debug mode
components_list.pop('mmi_detail', None)
context['brand_logo'] = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
for key, component in components_list.iteritems():
context[key] = jinja2_output_as_string(
impact_report, component['key'])
context['inasafe_resources_base_dir'] = resources_path()
return context
def population_infographic_extractor(impact_report, component_metadata):
"""Extracting aggregate result of demographic.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.0
"""
context = {}
extra_args = component_metadata.extra_args
"""Initializations"""
hazard_layer = impact_report.hazard
analysis_layer = impact_report.analysis
analysis_layer_fields = analysis_layer.keywords['inasafe_fields']
icons = component_metadata.extra_args.get('icons')
# this report sections only applies if it is a population report.
population_fields = [
population_count_field['key'],
exposure_count_field['key'] % (exposure_population['key'], ),
] + [f['key'] for f in minimum_needs_fields]
for item in population_fields:
if item in analysis_layer_fields:
break
else:
return context
# We try to get total affected field
# if it didn't exists, check other fields to show
total_affected_fields = [
total_affected_field['key'],
# We might want to check other fields, but turn it off until further
# discussion
population_count_field['key'],
exposure_count_field['key'] % (exposure_population['key'], ),
]
for item in total_affected_fields:
if item in analysis_layer_fields:
total_affected = value_from_field_name(analysis_layer_fields[item],
analysis_layer)
total_affected_field_used = item
break
else:
return context
if displaced_field['key'] in analysis_layer_fields:
total_displaced = value_from_field_name(
analysis_layer_fields[displaced_field['key']], analysis_layer)
else:
return context
sections = OrderedDict()
"""People Section"""
# Take default value from definitions
people_header = resolve_from_dictionary(extra_args,
['sections', 'people', 'header'])
people_items = resolve_from_dictionary(extra_args,
['sections', 'people', 'items'])
# create context for affected infographic
sub_header = resolve_from_dictionary(people_items[0], 'sub_header')
# retrieve relevant header based on the fields we showed.
sub_header = sub_header[total_affected_field_used]
affected_infographic = PeopleInfographicElement(
header=sub_header,
icon=icons.get(total_affected_field['key']),
number=total_affected)
# create context for displaced infographic
sub_header = resolve_from_dictionary(people_items[1], 'sub_header')
sub_header_note_format = resolve_from_dictionary(people_items[1],
'sub_header_note_format')
rate_description_format = resolve_from_dictionary(
people_items[1], 'rate_description_format')
rate_description = []
hazard_classification = layer_hazard_classification(hazard_layer)
for hazard_class in hazard_classification['classes']:
displacement_rate = hazard_class.get('displacement_rate', 0)
if displacement_rate:
rate_description.append(
rate_description_format.format(**hazard_class))
rate_description_string = ', '.join(rate_description)
sub_header_note = sub_header_note_format.format(
rate_description=rate_description_string)
displaced_infographic = PeopleInfographicElement(
header=sub_header,
header_note=sub_header_note,
icon=icons.get(displaced_field['key']),
number=total_displaced)
sections['people'] = {
'header': people_header,
'items': [affected_infographic, displaced_infographic]
}
"""Vulnerability Section"""
# Take default value from definitions
vulnerability_items = resolve_from_dictionary(
extra_args, ['sections', 'vulnerability', 'items'])
vulnerability_section_header = resolve_from_dictionary(
extra_args, ['sections', 'vulnerability', 'header'])
vulnerability_section_sub_header_format = resolve_from_dictionary(
extra_args, ['sections', 'vulnerability', 'sub_header_format'])
infographic_elements = []
for group in vulnerability_items:
fields = group['fields']
group_header = group['sub_group_header']
bootstrap_column = group['bootstrap_column']
element_column = group['element_column']
headers = group['headers']
elements = []
for field, header in zip(fields, headers):
field_key = field['key']
try:
field_name = analysis_layer_fields[field_key]
value = value_from_field_name(field_name, analysis_layer)
except KeyError:
# It means the field is not there
continue
if value:
value_percentage = value * 100.0 / total_displaced
else:
value_percentage = 0
infographic_element = PeopleVulnerabilityInfographicElement(
header=header,
icon=icons.get(field_key),
number=value,
percentage=value_percentage)
elements.append(infographic_element)
if elements:
infographic_elements.append({
'group_header': group_header,
'bootstrap_column': bootstrap_column,
'element_column': element_column,
'items': elements
})
total_displaced_rounded = format_number(total_displaced,
enable_rounding=True,
is_population=True)
sections['vulnerability'] = {
'header':
vulnerability_section_header,
'small_header':
vulnerability_section_sub_header_format.format(
number_displaced=total_displaced_rounded),
'items':
infographic_elements
}
"""Minimum Needs Section"""
minimum_needs_header = resolve_from_dictionary(
extra_args, ['sections', 'minimum_needs', 'header'])
empty_unit_string = resolve_from_dictionary(
extra_args, ['sections', 'minimum_needs', 'empty_unit_string'])
items = []
for item in minimum_needs_fields:
need = item['need_parameter']
if isinstance(need, ResourceParameter):
needs_count = value_from_field_name(item['field_name'],
analysis_layer)
if need.unit.abbreviation:
unit_string = '{unit}/{frequency}'.format(
unit=need.unit.abbreviation, frequency=need.frequency)
else:
unit_string = empty_unit_string
item = PeopleMinimumNeedsInfographicElement(header=item['name'],
icon=icons.get(
item['key']),
number=needs_count,
unit=unit_string)
items.append(item)
# TODO: get from impact function provenance later
needs_profile = NeedsProfile()
sections['minimum_needs'] = {
'header': minimum_needs_header,
'small_header': needs_profile.provenance,
'items': items,
}
"""Population Charts"""
population_donut_path = impact_report.component_absolute_output_path(
'population-chart-png')
css_label_classes = []
try:
population_chart_context = impact_report.metadata.component_by_key(
'population-chart').context['context']
"""
:type: safe.report.extractors.infographic_elements.svg_charts.
DonutChartContext
"""
for pie_slice in population_chart_context.slices:
label = pie_slice['label']
if not label:
continue
css_class = label.replace(' ', '').lower()
css_label_classes.append(css_class)
except KeyError:
population_chart_context = None
sections['population_chart'] = {
'img_path': resource_url(population_donut_path),
'context': population_chart_context,
'css_label_classes': css_label_classes
}
context['brand_logo'] = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
context['sections'] = sections
context['title'] = analysis_layer.title() or value_from_field_name(
analysis_name_field['field_name'], analysis_layer)
return context
'headers': [
tr('Youth'),
tr('Adult'),
tr('Elderly')
]
}
]
},
'minimum_needs': {
'header': tr('Minimum needs'),
'empty_unit_string': tr('units')
}
},
# definitions for icons
'icons': {
'total_affected_field': resource_url(resources_path(
'img/definitions/people.svg')),
'displaced_field': resource_url(resources_path(
'img/definitions/displaced.svg')),
'female_displaced_count_field': resource_url(resources_path(
'img/definitions/female.svg')),
'youth_displaced_count_field': resource_url(resources_path(
'img/definitions/youth.svg')),
'adult_displaced_count_field': resource_url(resources_path(
'img/definitions/adult.svg')),
'elderly_displaced_count_field': resource_url(resources_path(
'img/definitions/elderly.svg')),
'minimum_needs__rice_count_field': resource_url(resources_path(
'img/definitions/rice.svg')),
'minimum_needs__toilets_count_field': resource_url(resources_path(
'img/definitions/toilets.svg')),
'minimum_needs__drinking_water_count_field': resource_url(
'headers': [
tr('Youth'),
tr('Adult'),
tr('Elderly')
]
}
]
},
'minimum_needs': {
'header': tr('Minimum needs'),
'empty_unit_string': tr('units')
}
},
# definitions for icons
'icons': {
'total_affected_field': resource_url(resources_path(
'img/definitions/people.svg')),
'displaced_field': resource_url(resources_path(
'img/definitions/displaced.svg')),
'female_displaced_count_field': resource_url(resources_path(
'img/definitions/female.svg')),
'youth_displaced_count_field': resource_url(resources_path(
'img/definitions/youth.svg')),
'adult_displaced_count_field': resource_url(resources_path(
'img/definitions/adult.svg')),
'elderly_displaced_count_field': resource_url(resources_path(
'img/definitions/elderly.svg')),
'minimum_needs__rice_count_field': resource_url(resources_path(
'img/definitions/rice.svg')),
'minimum_needs__toilets_count_field': resource_url(resources_path(
'img/definitions/toilets.svg')),
'minimum_needs__drinking_water_count_field': resource_url(
],
'headers': [tr('Youth'),
tr('Adult'),
tr('Elderly')]
}
]
},
'minimum_needs': {
'header': tr('Minimum needs'),
'empty_unit_string': tr('units')
}
},
# definitions for icons
'icons': {
'total_affected_field':
resource_url(resources_path('img/definitions/people.svg')),
'displaced_field':
resource_url(resources_path('img/definitions/displaced.svg')),
'female_displaced_count_field':
resource_url(resources_path('img/definitions/female.svg')),
'youth_displaced_count_field':
resource_url(resources_path('img/definitions/youth.svg')),
'adult_displaced_count_field':
resource_url(resources_path('img/definitions/adult.svg')),
'elderly_displaced_count_field':
resource_url(resources_path('img/definitions/elderly.svg')),
'minimum_needs__rice_count_field':
resource_url(resources_path('img/definitions/rice.svg')),
'minimum_needs__toilets_count_field':
resource_url(resources_path('img/definitions/toilets.svg')),
'minimum_needs__drinking_water_count_field':
def population_infographic_extractor(impact_report, component_metadata):
"""Extracting aggregate result of demographic.
:param impact_report: the impact report that acts as a proxy to fetch
all the data that extractor needed
:type impact_report: safe.report.impact_report.ImpactReport
:param component_metadata: the component metadata. Used to obtain
information about the component we want to render
:type component_metadata: safe.report.report_metadata.
ReportComponentsMetadata
:return: context for rendering phase
:rtype: dict
.. versionadded:: 4.0
"""
context = {}
extra_args = component_metadata.extra_args
"""Initializations"""
hazard_layer = impact_report.hazard
analysis_layer = impact_report.analysis
analysis_layer_fields = analysis_layer.keywords['inasafe_fields']
icons = component_metadata.extra_args.get('icons')
# this report sections only applies if it is a population report.
population_fields = [
population_count_field['key'],
exposure_count_field['key'] % (exposure_population['key'], ),
] + [f['key'] for f in minimum_needs_fields]
for item in population_fields:
if item in analysis_layer_fields:
break
else:
return context
# We try to get total affected field
# if it didn't exists, check other fields to show
total_affected_fields = [
total_affected_field['key'],
# We might want to check other fields, but turn it off until further
# discussion
population_count_field['key'],
exposure_count_field['key'] % (exposure_population['key'], ),
]
for item in total_affected_fields:
if item in analysis_layer_fields:
total_affected = value_from_field_name(
analysis_layer_fields[item],
analysis_layer)
total_affected_field_used = item
break
else:
return context
if displaced_field['key'] in analysis_layer_fields:
total_displaced = value_from_field_name(
analysis_layer_fields[displaced_field['key']],
analysis_layer)
else:
return context
sections = OrderedDict()
"""People Section"""
# Take default value from definitions
people_header = resolve_from_dictionary(
extra_args, ['sections', 'people', 'header'])
people_items = resolve_from_dictionary(
extra_args, ['sections', 'people', 'items'])
# create context for affected infographic
sub_header = resolve_from_dictionary(
people_items[0], 'sub_header')
# retrieve relevant header based on the fields we showed.
sub_header = sub_header[total_affected_field_used]
affected_infographic = PeopleInfographicElement(
header=sub_header,
icon=icons.get(
total_affected_field['key']),
number=total_affected)
# create context for displaced infographic
sub_header = resolve_from_dictionary(
people_items[1], 'sub_header')
sub_header_note_format = resolve_from_dictionary(
people_items[1], 'sub_header_note_format')
rate_description_format = resolve_from_dictionary(
people_items[1], 'rate_description_format')
rate_description = []
hazard_classification = layer_hazard_classification(hazard_layer)
for hazard_class in hazard_classification['classes']:
displacement_rate = hazard_class.get('displacement_rate', 0)
if displacement_rate:
rate_description.append(
rate_description_format.format(**hazard_class))
rate_description_string = ', '.join(rate_description)
sub_header_note = sub_header_note_format.format(
rate_description=rate_description_string)
displaced_infographic = PeopleInfographicElement(
header=sub_header,
header_note=sub_header_note,
icon=icons.get(
displaced_field['key']),
number=total_displaced)
sections['people'] = {
'header': people_header,
'items': [
affected_infographic,
displaced_infographic
]
}
"""Vulnerability Section"""
# Take default value from definitions
vulnerability_items = resolve_from_dictionary(
extra_args,
['sections', 'vulnerability', 'items'])
vulnerability_section_header = resolve_from_dictionary(
extra_args,
['sections', 'vulnerability', 'header'])
vulnerability_section_sub_header_format = resolve_from_dictionary(
extra_args,
['sections', 'vulnerability', 'sub_header_format'])
infographic_elements = []
for group in vulnerability_items:
fields = group['fields']
group_header = group['sub_group_header']
bootstrap_column = group['bootstrap_column']
element_column = group['element_column']
headers = group['headers']
elements = []
for field, header in zip(fields, headers):
field_key = field['key']
try:
field_name = analysis_layer_fields[field_key]
value = value_from_field_name(
field_name, analysis_layer)
except KeyError:
# It means the field is not there
continue
if value:
value_percentage = value * 100.0 / total_displaced
else:
value_percentage = 0
infographic_element = PeopleVulnerabilityInfographicElement(
header=header,
icon=icons.get(field_key),
number=value,
percentage=value_percentage
)
elements.append(infographic_element)
if elements:
infographic_elements.append({
'group_header': group_header,
'bootstrap_column': bootstrap_column,
'element_column': element_column,
'items': elements
})
total_displaced_rounded = format_number(
total_displaced,
enable_rounding=True,
is_population=True)
sections['vulnerability'] = {
'header': vulnerability_section_header,
'small_header': vulnerability_section_sub_header_format.format(
number_displaced=total_displaced_rounded),
'items': infographic_elements
}
"""Minimum Needs Section"""
minimum_needs_header = resolve_from_dictionary(
extra_args,
['sections', 'minimum_needs', 'header'])
empty_unit_string = resolve_from_dictionary(
extra_args,
['sections', 'minimum_needs', 'empty_unit_string'])
items = []
for item in minimum_needs_fields:
need = item['need_parameter']
if isinstance(need, ResourceParameter):
needs_count = value_from_field_name(
item['field_name'], analysis_layer)
if need.unit.abbreviation:
unit_string = '{unit}/{frequency}'.format(
unit=need.unit.abbreviation,
frequency=need.frequency)
else:
unit_string = empty_unit_string
item = PeopleMinimumNeedsInfographicElement(
header=item['name'],
icon=icons.get(
item['key']),
number=needs_count,
unit=unit_string)
items.append(item)
# TODO: get from impact function provenance later
needs_profile = NeedsProfile()
sections['minimum_needs'] = {
'header': minimum_needs_header,
'small_header': needs_profile.provenance,
'items': items,
}
"""Population Charts"""
population_donut_path = impact_report.component_absolute_output_path(
'population-chart-png')
css_label_classes = []
try:
population_chart_context = impact_report.metadata.component_by_key(
'population-chart').context['context']
"""
:type: safe.report.extractors.infographic_elements.svg_charts.
DonutChartContext
"""
for pie_slice in population_chart_context.slices:
label = pie_slice['label']
if not label:
continue
css_class = label.replace(' ', '').lower()
css_label_classes.append(css_class)
except KeyError:
population_chart_context = None
sections['population_chart'] = {
'img_path': resource_url(population_donut_path),
'context': population_chart_context,
'css_label_classes': css_label_classes
}
context['brand_logo'] = resource_url(
resources_path('img', 'logos', 'inasafe-logo-white.png'))
context['sections'] = sections
context['title'] = analysis_layer.title() or value_from_field_name(
analysis_name_field['field_name'], analysis_layer)
return context
from safe import messaging as m
from safe.messaging import styles
from safe.common.exceptions import (InsufficientOverlapError,
TemplateLoadingError)
from safe.report.impact_report import ImpactReport
from safe.gui.tools.impact_report_dialog import ImpactReportDialog
from safe_extras.pydispatch import dispatcher
from safe.utilities.analysis import Analysis
from safe.utilities.extent import Extent
PROGRESS_UPDATE_STYLE = styles.PROGRESS_UPDATE_STYLE
INFO_STYLE = styles.INFO_STYLE
WARNING_STYLE = styles.WARNING_STYLE
LOGO_ELEMENT = m.Image(
resource_url(resources_path('img', 'logos', 'inasafe-logo.png')),
'InaSAFE Logo')
LOGGER = logging.getLogger('InaSAFE')
class AnalysisHandler(QObject):
"""Analysis handler for the dock and the wizard."""
analysisDone = pyqtSignal(bool)
# noinspection PyUnresolvedReferences
def __init__(self, parent):
"""Constructor for the class.
:param parent: Parent widget i.e. the wizard dialog.
:type parent: QWidget
from safe.messaging import styles
from safe.common.exceptions import (
InsufficientOverlapError, TemplateLoadingError)
from safe.report.impact_report import ImpactReport
from safe.gui.tools.impact_report_dialog import ImpactReportDialog
from safe_extras.pydispatch import dispatcher
from safe.utilities.analysis import Analysis
from safe.utilities.extent import Extent
from safe.impact_functions.impact_function_manager import ImpactFunctionManager
PROGRESS_UPDATE_STYLE = styles.PROGRESS_UPDATE_STYLE
INFO_STYLE = styles.INFO_STYLE
WARNING_STYLE = styles.WARNING_STYLE
LOGO_ELEMENT = m.Image(
resource_url(
resources_path('img', 'logos', 'inasafe-logo.png')),
'InaSAFE Logo')
LOGGER = logging.getLogger('InaSAFE')
class AnalysisHandler(QObject):
"""Analysis handler for the dock and the wizard."""
analysisDone = pyqtSignal(bool)
# noinspection PyUnresolvedReferences
def __init__(self, parent):
"""Constructor for the class.
:param parent: Parent widget i.e. the wizard dialog.
from safe.common.utilities import temp_dir, unique_filename
from safe.common.version import get_version
from safe.common.exceptions import KeywordNotFoundError, TemplateLoadingError
from safe import messaging as m
from safe.messaging import styles
from safe.utilities.keyword_io import KeywordIO
from safe.utilities.resources import resources_path
from safe.utilities.gis import qgis_version
from safe.utilities.utilities import impact_attribution, html_to_file
from safe.utilities.resources import html_footer, html_header, resource_url
from safe.utilities.i18n import tr
from safe.defaults import default_organisation_logo_path, default_north_arrow_path
from safe.report.template_composition import TemplateComposition
INFO_STYLE = styles.INFO_STYLE
LOGO_ELEMENT = m.Image(resource_url(resources_path("img", "logos", "inasafe-logo.png")), "InaSAFE Logo")
LOGGER = logging.getLogger("InaSAFE")
class ImpactReport(object):
"""A class for creating report using QgsComposition."""
def __init__(self, iface, template, layer):
"""Constructor for the Composition Report class.
:param iface: Reference to the QGIS iface object.
:type iface: QgsAppInterface
:param template: The QGIS template path.
:type template: str
"""
