def test_fake_ids():
n = 10
fake_ids = helpers.gen_fake_ids(n)
assert len(fake_ids) == 10
for x in fake_ids:
assert (x.startswith('fake'))
help="specify output file, defaults to timestamped file.")
parser.add_argument('-H', '--human', action='store_true',
help="decode values into human readable format")
args = parser.parse_args()
if args.verbose:
print(args)
TOTAL_PATIENTS = args.n
if __name__ == '__main__':
df_output = pd.DataFrame()
df_output['eid'] = helpers.gen_fake_ids(TOTAL_PATIENTS)
# User has supplied field list
if args.field is not None:
all_field_ids = helpers.get_field_ids()
fields_to_process = set(all_field_ids).intersection(set(args.field))
assert len(fields_to_process) > 0, "Fields not found in lookup file."
else:
fields_to_process = helpers.get_field_ids()
for field_id in tqdm(fields_to_process):
r = helpers.get_field_metadata(field_id)
if args.verbose is True:
print(r)