def harvest_object_create(context, data_dict):
""" Create a new harvest object
:type guid: string (optional)
:type content: string (optional)
:type job_id: string
:type source_id: string (optional)
:type package_id: string (optional)
:type extras: dict (optional)
"""
check_access('harvest_object_create', context, data_dict)
data, errors = _validate(
data_dict, harvest_object_create_schema(), context)
if errors:
raise logic.ValidationError(errors)
obj = HarvestObject(
guid=data.get('guid'),
content=data.get('content'),
job=data['job_id'],
harvest_source_id=data.get('source_id'),
package_id=data.get('package_id'),
extras=[HarvestObjectExtra(key=k, value=v)
for k, v in data.get('extras', {}).items()]
)
obj.save()
return harvest_object_dictize(obj, context)
def harvest_object_show(context, data_dict):
p.toolkit.check_access('harvest_object_show', context, data_dict)
id = data_dict.get('id')
dataset_id = data_dict.get('dataset_id')
if id:
attr = data_dict.get('attr', None)
obj = HarvestObject.get(id, attr=attr)
elif dataset_id:
model = context['model']
pkg = model.Package.get(dataset_id)
if not pkg:
raise p.toolkit.ObjectNotFound('Dataset not found')
obj = model.Session.query(HarvestObject) \
.filter(HarvestObject.package_id == pkg.id) \
.filter(HarvestObject.current) \
.first()
else:
raise p.toolkit.ValidationError(
'Please provide either an "id" or a "dataset_id" parameter')
if not obj:
raise p.toolkit.ObjectNotFound('Harvest object not found')
return harvest_object_dictize(obj, context)