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# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""Output formatters using PyYAML."""
import argparse
import collections.abc
import typing as ty
from cliff import columns
from cliff.formatters import base
def _yaml_friendly(value: ty.Any) -> ty.Any:
if isinstance(value, columns.FormattableColumn):
return value.machine_readable()
elif hasattr(value, "toDict"):
return value.toDict()
elif hasattr(value, "to_dict"):
return value.to_dict()
else:
return value
class YAMLFormatter(base.ListFormatter, base.SingleFormatter):
def add_argument_group(self, parser: argparse.ArgumentParser) -> None:
pass
def emit_list(
self,
column_names: collections.abc.Sequence[str],
data: collections.abc.Iterable[collections.abc.Sequence[ty.Any]],
stdout: ty.TextIO,
parsed_args: argparse.Namespace,
) -> None:
# the yaml import is slow, so defer loading until we know we want it
import yaml
items = []
for item in data:
items.append(
{n: _yaml_friendly(i) for n, i in zip(column_names, item)}
)
yaml.safe_dump(items, stream=stdout, default_flow_style=False)
def emit_one(
self,
column_names: collections.abc.Sequence[str],
data: collections.abc.Sequence[ty.Any],
stdout: ty.TextIO,
parsed_args: argparse.Namespace,
) -> None:
# the yaml import is slow, so defer loading until we know we want it
import yaml
for key, value in zip(column_names, data):
dict_data = {key: _yaml_friendly(value)}
yaml.safe_dump(dict_data, stream=stdout, default_flow_style=False)
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