def create_task_with_existing_basemap(basemap_id, heatmap_task_parameters):
"""heatmap_task_parameters:
'heatmap_starting_year': (int, "starting_year"),
'heatmap_ending_year': (int, "ending_year"),
'heatmap_sample_size': (int, "sample_size"),
'heatmap_author': (str, 'author'),
'heatmap_conference': (str, 'conference'),
'heatmap_journal': (str, 'journal'),
'heatmap_term_type': (int, 'term_type'),
"""
basemap = Basemap.objects.get(id=basemap_id)
heatmap_params = filter_heatmap_args(heatmap_task_parameters)
heatmap_params['term_type'] = basemap.term_type
heatmap = Heatmap(finished=False, **heatmap_params)
heatmap.save()
task = Task(basemap=basemap, heatmap=heatmap)
task.save()
return task
def create_task_and_maps(task_parameters, include_heatmap=True):
'''
task_parameters:
'basemap_ending_year': (int, "ending_year"),
'basemap_sample_size': (int, "sample_size"),
'basemap_starting_year': (int, "starting_year"),
'number_of_terms': int,
'ranking_algorithm': int,
'similarity_algorithm': int,
'filtering_algorithm': int,
'basemap_author': (str, 'author'),
'basemap_conference': (str, 'conference'),
'basemap_journal': (str, 'journal'),
'term_type': int,
if include_heatmap then also pass the following:
'heatmap_starting_year': (int, "starting_year"),
'heatmap_ending_year': (int, "ending_year"),
'heatmap_sample_size': (int, "sample_size"),
'heatmap_author': (str, 'author'),
'heatmap_conference': (str, 'conference'),
'heatmap_journal': (str, 'journal'),
'term_type': int,
)
'''
# set up new objects
basemap = Basemap(finished=False, **filter_basemap_args(task_parameters))
basemap.save()
if include_heatmap:
heatmap = Heatmap(finished=False, **filter_heatmap_args(task_parameters))
heatmap.save()
task = Task(basemap=basemap, heatmap=heatmap)
else:
task = Task(basemap=basemap)
task.save()
return task