def format_impact_summary(self):
"""The impact summary as per category
:returns: The impact summary.
:rtype: safe.message.Message
"""
flat_table = FlatTable().from_dict(
groups=self.impact_table['groups'],
data=self.impact_table['data'],
)
LOGGER.debug(self.impact_table['groups'])
LOGGER.debug(self.impact_table['data'])
LOGGER.debug(flat_table.groups)
LOGGER.debug(flat_table.data)
pivot_table = PivotTable(
flat_table,
row_field='landcover',
column_field='hazard',
columns=self.ordered_columns,
affected_columns=self.affected_columns)
report = {'impacted': pivot_table}
# breakdown by zones
if self.zone_field is not None:
report['impacted_zones'] = {}
for zone in flat_table.group_values('zone'):
table = PivotTable(
flat_table,
row_field="landcover",
column_field='hazard',
columns=self.ordered_columns,
affected_columns=self.affected_columns,
filter_field="zone",
filter_value=zone)
report['impacted_zones'][zone] = table
message = m.Message(style_class='container')
affected_text = tr('Affected Area (ha)')
show_affected = True if len(self.affected_columns) else False
if show_affected:
msg = tr(
'* Percentage of affected area compared to the total area for '
'the land cover type.')
self.notes['fields'].append(msg)
table = format_pivot_table(
report['impacted'],
header_text=affected_text,
total_columns=True,
total_affected=show_affected,
total_percent_affected=show_affected,
bar_chart=False)
message.add(table)
if 'impacted_zones' in report:
message.add(m.Heading(
tr('Analysis Results by Aggregation Area'), **INFO_STYLE))
for zone, table in report['impacted_zones'].items():
message.add(m.Heading(zone.lower().title(), **SUB_INFO_STYLE))
m_table = format_pivot_table(
table,
header_text=affected_text,
total_columns=True,
total_affected=show_affected,
total_percent_affected=show_affected,
bar_chart=False)
message.add(m_table)
return message.to_html(suppress_newlines=True)
def format_impact_summary(self):
"""The impact summary as per category
:returns: The impact summary.
:rtype: safe.message.Message
"""
flat_table = FlatTable().from_dict(
groups=self.impact_table['groups'],
data=self.impact_table['data'],
)
LOGGER.debug(self.impact_table['groups'])
LOGGER.debug(self.impact_table['data'])
LOGGER.debug(flat_table.groups)
LOGGER.debug(flat_table.data)
pivot_table = PivotTable(flat_table,
row_field='landcover',
column_field='hazard',
columns=self.ordered_columns,
affected_columns=self.affected_columns)
report = {'impacted': pivot_table}
# breakdown by zones
if self.zone_field is not None:
report['impacted_zones'] = {}
for zone in flat_table.group_values('zone'):
table = PivotTable(flat_table,
row_field="landcover",
column_field='hazard',
columns=self.ordered_columns,
affected_columns=self.affected_columns,
filter_field="zone",
filter_value=zone)
report['impacted_zones'][zone] = table
message = m.Message(style_class='container')
affected_text = tr('Affected Area (ha)')
show_affected = True if len(self.affected_columns) else False
if show_affected:
msg = tr(
'* Percentage of affected area compared to the total area for '
'the land cover type.')
self.notes['fields'].append(msg)
table = format_pivot_table(report['impacted'],
header_text=affected_text,
total_columns=True,
total_affected=show_affected,
total_percent_affected=show_affected,
bar_chart=False)
message.add(table)
if 'impacted_zones' in report:
message.add(
m.Heading(tr('Analysis Results by Aggregation Area'),
**INFO_STYLE))
for zone, table in report['impacted_zones'].items():
message.add(m.Heading(zone.lower().title(), **SUB_INFO_STYLE))
m_table = format_pivot_table(
table,
header_text=affected_text,
total_columns=True,
total_affected=show_affected,
total_percent_affected=show_affected,
bar_chart=False)
message.add(m_table)
return message.to_html(suppress_newlines=True)
