def get_schema(self):
schema_base = DataSchemas("COPO").get_ui_template().get("copo")
x = data_utils.json_to_object(schema_base.get(self.component, dict()))
return dict(schema_dict=schema_base.get(self.component, dict()).get("fields", list()),
schema=x.fields
)
def is_description_mismatch(self, auto_fields):
"""
function verifies if description targets have any mismatch with submitted stage description
:param auto_fields: form entries
:return: boolean; True if there is a mismatch
"""
# get target stage reference
current_stage = auto_fields["current_stage"]
# get target stage dictionary
stage = self.get_batch_stage(current_stage)
# build data dictionary
data = DecoupleFormSubmission(auto_fields, d_utils.json_to_object(stage).items).get_schema_fields_updated()
description_mismatch = False
for target in self.description_targets:
self.set_datafile_id(target["recordID"])
target_description = self.get_datafile_description()['attributes']
if current_stage in target_description:
if data != target_description[current_stage]:
description_mismatch = True
break
return description_mismatch
def get_schema(self):
schema_base = DataSchemas("COPO").get_ui_template().get("copo")
x = data_utils.json_to_object(schema_base.get(self.component, dict()))
return dict(schema_dict=schema_base.get(self.component,
dict()).get("fields", list()),
schema=x.fields)
def get_ui_template_as_obj(self):
"""obj_type specifies how the document should be returned: as 'dict' - python dictionary or
'obj' - an object-typed notation"""
doc = self.get_ui_template()
if doc:
return d_utils.json_to_object(doc)
return doc
def save_stage_data(self, auto_fields):
"""
function saves stage data
auto_fields: data to be applied to description targets
:return:
"""
# get target stage reference
current_stage = auto_fields.get("current_stage", str())
# get target stage dictionary
stage = self.get_batch_stage(current_stage)
aggregate_data = list()
# extract and save values for items in the description target
# build data dictionary and apply to all targets
data = DecoupleFormSubmission(auto_fields, d_utils.json_to_object(stage).items).get_schema_fields_updated()
# aggregate target's data to aggregate
aggregate_data.append(data)
for target in self.description_targets:
# 'focus' on target
self.set_datafile_id(target["recordID"])
# use batch stages to update targets
self.update_datafile_stage(self.get_batch_stages())
# retrieve previously saved data for the stage
old_stage_data = self.get_stage_data(stage['ref']) or dict()
# call to handle triggers defined on items
self.handle_save_triggers(old_stage_data, data, stage)
# update attribute, given data
self.update_datafile_attributes({'ref': stage["ref"], 'data': data})
# get batch attributes
batch_attributes = self.get_batch_attributes()
if not stage["ref"] in batch_attributes:
batch_attributes[stage["ref"]] = list()
# append targets' data to the batch aggregate
batch_attributes[stage['ref']].append(data)
# update batch description
self.set_batch_attributes(batch_attributes)
# update description targets
self.update_targets_datafiles()
return True
