def export_table(self):
"""
Returns a multi-dimensional list formatted as export_from_tables would expect. It includes all context
(study data and subjects) required to render an ODM document.
"""
tz = get_timezone_for_user(None, self.domain)
now = datetime.now(tz)
file_oid = now.strftime('CommCare_%Y%m%d%H%M%S%z')
utc_offset = now.strftime('%z')
with_colon = ':'.join((utc_offset[:-2], utc_offset[-2:])) # Change UTC offset from "+0200" to "+02:00"
study_details = {
'file_oid': file_oid,
'file_description': 'Data imported from CommCare',
'creation_datetime': now.strftime('%Y-%m-%dT%H:%M:%S') + with_colon,
'study_name': get_study_constant(self.domain, 'study_name'),
'study_description': get_study_constant(self.domain, 'study_description'),
'protocol_name': get_study_constant(self.domain, 'protocol_name'),
'study_oid': get_study_constant(self.domain, 'study_oid'),
'audit_logs': AUDIT_LOGS,
}
return [
[
'study', # The first "sheet" is the study details. It has only one row.
[study_details.keys(), study_details.values()]
],
[
'subjects',
[self.subject_headers()] + list(self.export_rows)
]
]
def _init(self):
from custom.openclinica.utils import get_study_constant
# We don't need to keep track of tables because we only have two: "study" contains context, and
# "subjects" of which each row is a study subject. Initialise template context instead of tables.
self.context = {
'subjects': [],
# The template accepts XML strings in params "study_xml" and "admin_data_xml" which are
# study-specific. We parse these from the study metadata, which, for this first OpenClinica
# project, is stored in custom/openclinica/study_metadata.xml. In future projects we will need to store
# study metadata for each domain that uses OpenClinica integration.
'study_xml': get_study_constant(domain=None, name='study_xml'),
'admin_data_xml': get_study_constant(domain=None, name='admin_data_xml'),
}
# We'll keep the keys from the header rows of both tables, so that we can zip them up with the rest of the
# rows to create dictionaries for the ODM XML template
self.study_keys = []
self.subject_keys = []
def __init__(self, request, base_context=None, domain=None, **kwargs):
super(OdmExportReportView, self).__init__(request, base_context, domain, **kwargs)
tz = get_timezone_for_user(None, self.domain)
now = datetime.now(tz)
file_oid = now.strftime('CommCare_%Y%m%d%H%M%S%z')
utc_offset = now.strftime('%z')
with_colon = ':'.join((utc_offset[:-2], utc_offset[-2:])) # Change UTC offset from "+0200" to "+02:00"
self.study_details = {
'file_oid': file_oid,
'file_description': 'Data imported from CommCare',
'creation_datetime': now.strftime('%Y-%m-%dT%H:%M:%S') + with_colon,
'study_name': get_study_constant(domain, 'study_name'),
'study_description': get_study_constant(domain, 'study_description'),
'protocol_name': get_study_constant(domain, 'protocol_name'),
'study_oid': get_study_constant(domain, 'study_oid'),
'audit_logs': AUDIT_LOGS,
}
def export_table(self):
"""
Returns a multi-dimensional list formatted as export_from_tables would expect. It includes all context
(study data and subjects) required to render an ODM document.
"""
tz = get_timezone_for_user(None, self.domain)
now = datetime.now(tz)
file_oid = now.strftime('CommCare_%Y%m%d%H%M%S%z')
utc_offset = now.strftime('%z')
with_colon = ':'.join((utc_offset[:-2], utc_offset[-2:])) # Change UTC offset from "+0200" to "+02:00"
study_details = {
'file_oid': file_oid,
'file_description': 'Data imported from CommCare',
'creation_datetime': now.strftime('%Y-%m-%dT%H:%M:%S') + with_colon,
'study_name': get_study_constant(self.domain, 'study_name'),
'study_description': get_study_constant(self.domain, 'study_description'),
'protocol_name': get_study_constant(self.domain, 'protocol_name'),
'study_oid': get_study_constant(self.domain, 'study_oid'),
'audit_logs': AUDIT_LOGS,
# The template accepts XML strings in params "study_xml" and
# "admin_data_xml" which come from the study metadata.
'study_xml': get_study_constant(self.domain, 'study_xml'),
'admin_data_xml': get_study_constant(self.domain, 'admin_data_xml'),
'domain': self.domain,
}
return [
[
'study', # The first "sheet" is the study details. It has only one row.
[list(study_details.keys()), list(study_details.values())]
],
[
'subjects',
[self.subject_headers()] + list(self.export_rows)
]
]