def save_stage_data(auto_fields):
d = DataFile()
datafile_id = auto_fields["datafile"]
current_stage = auto_fields["current_stage"]
description_stages = d.GET(datafile_id)["description"]["stages"]
stage = [elem for elem in description_stages if elem["ref"] == current_stage]
# get schema for resolving ontology terms
onto_schema = d_utils.json_to_pytype(lkup.DB_TEMPLATES["ONTOLOGY_ANNOTATION"])
if stage:
data = {}
stage_items = stage[0]["items"]
if stage_items:
for sti in stage_items:
# handle ontology term
if sti["control"].lower() == "ontology term":
a = {}
for k in onto_schema["properties"]:
if sti["id"] + "." + k in auto_fields.keys():
a[k] = auto_fields[sti["id"] + "." + k]
data[sti["id"]] = a
else:
data[sti["id"]] = auto_fields[sti["id"]]
d.save_description_stage(datafile_id, {"ref": current_stage, "data": data})
def data_wiz(request):
context = {}
step = int(request.POST['step'])
datafile = request.POST['datafile']
d = DataFile()
dispatch_description = {
'ena': wizh.ena_description,
'figshare': wizh.figshare_description,
'default': wizh.default_description
}
if step == 1:
# first stage in the process where the wizard has only just been initiated
# infer the deposition context (target repository) based on the file
# if we can infer the context, switch immediately to that, else request destination from user
description_attributes = d.GET(datafile)['description']['attributes']
try:
deposition_context = description_attributes['deposition_context']['deposition_context']
except:
deposition_context = None
if not deposition_context:
# try to resolve, and save deposition context as an implicit stage
deposition_context = wizh.get_deposition_context(datafile)
if deposition_context:
d.save_description_stage(datafile, {'ref': 'deposition_context',
'data': {'deposition_context': deposition_context}})
if deposition_context:
# as there might be previous description data,
# we want to be able to load this, else follow the step-wise wizard path
if len(description_attributes) > 1:
context['stages'] = wizh.get_stages_display(datafile)
else: # follow the step-wise wizard path
auto_fields = {"current_stage": "deposition_context", "datafile": datafile}
context['stage'] = dispatch_description[deposition_context](auto_fields)
else: # if we couldn't infer deposition context, ask user's intervention
df_wizard_dict = copy.deepcopy(lkup.DF_WIZARD)
context['stage'] = {
"title": "Verify Destination",
"content": wtags.get_deposition_html(deposition_context)
}
elif step >= 2:
auto_fields = ast.literal_eval(request.POST['auto_fields'])
deposition_context = auto_fields["deposition_context"]
if deposition_context == "":
deposition_context = "default"
auto_fields["datafile"] = datafile
context['stage'] = dispatch_description[deposition_context](auto_fields)
elif step == -1: # save all stages
auto_fields = ast.literal_eval(request.POST['auto_fields'])
# get the deposition context from the first element
for a_f in auto_fields:
auto_field = ast.literal_eval(a_f)
auto_field["datafile"] = datafile
wizh.save_stage_data(auto_field)
out = jsonpickle.encode(context)
return HttpResponse(out, content_type='json')
