def compute_dataset(formula,
datasets,
title,
unit_id,
time_resolution,
indicator_id,
class_id,
creator_path,
metric_id=None):
"""
Compute and store a dataset. Returns the id of the newly created dataset.
"""
result = compute_formula(formula, datasets)
data = DatasetData(data_frame=result,
unit=unit_id,
resolution=time_resolution)
dataset = Dataset(
title=title,
description="Computed formula '%s' with %s" % (formula, ", ".join([
"'%s' as %s" % (title, variable)
for variable, dataset in datasets.items()
])),
keywords=", ".join(
set(
itertools.chain(
[dataset.keywords for dataset in datasets.values()]))),
version=0,
# ressource related info
resource_url="not available",
resource_issued=datetime.datetime.now(),
# metrics identifier
is_applied=True,
metric_id=metric_id,
# contained data
time_resolution=time_resolution,
time_start=data.get_time_start(),
time_end=data.get_time_end(),
data=data,
# references to other services
# TODO add useful values here
language_id=0,
creator_path=creator_path,
unit_id=unit_id,
indicator_id=indicator_id,
class_id=class_id)
return dataset_api.store(dataset)
