def create_analysisrequest(container, **data):
"""Create a minimun viable AnalysisRequest
:param container: A single folderish catalog brain or content object
:type container: ATContentType/DexterityContentType/CatalogBrain
"""
container = get_object(container)
request = req.get_request()
return create_ar(container, request, data)
def create_analysisrequest(container, **data):
"""Create a minimun viable AnalysisRequest
:param container: A single folderish catalog brain or content object
:type container: ATContentType/DexterityContentType/CatalogBrain
"""
container = get_object(container)
request = req.get_request()
# we need to resolve the SampleType to a full object
sample_type = data.get("SampleType", None)
if sample_type is None:
fail(400, "Please provide a SampleType")
# TODO We should handle the same values as in the DataManager for this field
# (UID, path, objects, dictionaries ...)
results = search(portal_type="SampleType", title=sample_type)
values = {
"Analyses": data.get("Analyses", []),
"SampleType": results and get_object(results[0]) or None,
}
return create_ar(container, request, values)
def create_analysisrequest(container, **data):
"""Create a minimun viable AnalysisRequest
:param container: A single folderish catalog brain or content object
:type container: ATContentType/DexterityContentType/CatalogBrain
"""
container = get_object(container)
request = req.get_request()
# we need to resolve the SampleType to a full object
sample_type = data.get("SampleType", None)
if sample_type is None:
fail(400, "Please provide a SampleType")
# TODO We should handle the same values as in the DataManager for this field
# (UID, path, objects, dictionaries ...)
results = search(portal_type="SampleType", title=sample_type)
values = {
"Analyses": data.get("Analyses", []),
"SampleType": results and get_object(results[0]) or None,
}
return create_ar(container, request, values)