def _visualize(self, args, cache_directory = None):
self.visualizations = []
indicators_to_visualize = {}
interface = IndicatorFrameworkInterface(self.project)
not_visualized = []
#get common years
years = set([])
for indicator in self.indicators:
years |= set(indicator['years'])
source_data_objs = {}
for indicator in self.indicators:
indicator_name = indicator['indicator_name']
source_data_name = indicator['source_data_name']
dataset_name = indicator['dataset_name']
if (self.indicator_type == 'mapnik_map' or self.indicator_type == 'mapnik_animated_map') and dataset_name not in self.spatial_datasets:
not_visualized.append(indicator)
continue
if source_data_name not in source_data_objs:
source_data = interface.get_source_data(
source_data_name = source_data_name,
years = list(years),
cache_directory = cache_directory
)
source_data_objs[source_data_name] = source_data
else:
source_data = source_data_objs[source_data_name]
indicator = interface.get_indicator(
indicator_name = indicator_name,
dataset_name = dataset_name)
computed_indicator = interface.get_computed_indicator(indicator = indicator,
source_data = source_data,
dataset_name = dataset_name)
computed_indicator.gui_indicator_name = indicator_name
#####################
#hack to get plausible primary keys...
cache_directory = source_data.cache_directory
_storage_location = os.path.join(cache_directory,
'indicators',
'_stored_data',
repr(source_data.years[0]))
storage = StorageFactory().get_storage(
type = 'flt_storage',
storage_location = _storage_location)
cols = storage.get_column_names(
table_name = dataset_name)
primary_keys = [col for col in cols if col.find('_id') != -1]
computed_indicator.primary_keys = primary_keys
##################
name = computed_indicator.get_file_name(
suppress_extension_addition = True)
indicators_to_visualize[name] = computed_indicator
viz_args = {}
if self.indicator_type == 'mapnik_map':
viz_type = self.indicator_type
elif self.indicator_type == 'mapnik_animated_map':
viz_type = self.indicator_type
elif self.indicator_type == 'matplotlib_chart':
viz_type = self.indicator_type
elif self.indicator_type == 'tab':
viz_type = 'table'
if 'output_style' not in viz_args:
viz_args['output_style'] = Table.ALL
viz_args['output_type'] = 'tab'
elif self.indicator_type == 'table_esri':
viz_type = 'table'
if 'output_style' not in viz_args:
viz_args['output_style'] = Table.ALL
viz_args['output_type'] = 'esri'
elif self.indicator_type == 'table_per_year':
viz_type = 'table'
if 'output_style' not in viz_args:
viz_args['output_style'] = Table.PER_YEAR
viz_args['output_type'] = 'tab'
elif self.indicator_type == 'table_per_attribute':
viz_type = 'table'
if 'output_style' not in viz_args:
viz_args['output_style'] = Table.PER_ATTRIBUTE
viz_args['output_type'] = 'tab'
viz_args.update(self.kwargs)
viz_args.update(args)
# try:
# import pydevd;pydevd.settrace()
# except:
# pass
viz_factory = VisualizationFactory()
self.visualizations = viz_factory.visualize(
indicators_to_visualize = indicators_to_visualize.keys(),
computed_indicators = indicators_to_visualize,
visualization_type = viz_type, **viz_args)
if self.visualizations is None:
self.visualizations = []
return not_visualized
