def from_csv(data,
dialect='excel',
fieldnames=None,
delimiter=None,
skipinitialspace=None,
strict=None):
dialect_params = {
"delimiter": delimiter,
"skipinitialspace": skipinitialspace,
"strict": strict,
}
try:
dialect = initialize_dialect(dialect, **dialect_params)
except (CustomDialectFailureError, DialectNotAvailableError) as e:
raise AnsibleFilterError(to_native(e))
reader = read_csv(data, dialect, fieldnames)
data_list = []
try:
for row in reader:
data_list.append(row)
except CSVError as e:
raise AnsibleFilterError("Unable to process file: %s" % to_native(e))
return data_list
def test_invalid_csv(data, dialect, dialect_params, fieldnames):
dialect = csv.initialize_dialect(dialect, **dialect_params)
reader = csv.read_csv(data, dialect, fieldnames)
result = False
try:
for row in reader:
continue
except csv.CSVError:
result = True
assert result
def test_valid_csv(data, dialect, dialect_params, fieldnames, expected):
dialect = csv.initialize_dialect(dialect, **dialect_params)
reader = csv.read_csv(data, dialect, fieldnames)
result = True
for idx, row in enumerate(reader):
for k, v in row.items():
if expected[idx][k] != v:
result = False
break
assert result
def main():
module = AnsibleModule(
argument_spec=dict(
path=dict(type='path', required=True, aliases=['filename']),
dialect=dict(type='str', default='excel'),
key=dict(type='str', no_log=False),
fieldnames=dict(type='list', elements='str'),
unique=dict(type='bool', default=True),
delimiter=dict(type='str'),
skipinitialspace=dict(type='bool'),
strict=dict(type='bool'),
),
supports_check_mode=True,
)
path = module.params['path']
dialect = module.params['dialect']
key = module.params['key']
fieldnames = module.params['fieldnames']
unique = module.params['unique']
dialect_params = {
"delimiter": module.params['delimiter'],
"skipinitialspace": module.params['skipinitialspace'],
"strict": module.params['strict'],
}
try:
dialect = initialize_dialect(dialect, **dialect_params)
except (CustomDialectFailureError, DialectNotAvailableError) as e:
module.fail_json(msg=to_native(e))
try:
with open(path, 'rb') as f:
data = f.read()
except (IOError, OSError) as e:
module.fail_json(msg="Unable to open file: %s" % to_native(e))
reader = read_csv(data, dialect, fieldnames)
if key and key not in reader.fieldnames:
module.fail_json(
msg="Key '%s' was not found in the CSV header fields: %s" %
(key, ', '.join(reader.fieldnames)))
data_dict = dict()
data_list = list()
if key is None:
try:
for row in reader:
data_list.append(row)
except CSVError as e:
module.fail_json(msg="Unable to process file: %s" % to_native(e))
else:
try:
for row in reader:
if unique and row[key] in data_dict:
module.fail_json(
msg="Key '%s' is not unique for value '%s'" %
(key, row[key]))
data_dict[row[key]] = row
except CSVError as e:
module.fail_json(msg="Unable to process file: %s" % to_native(e))
module.exit_json(dict=data_dict, list=data_list)
