airflow yaml 源码
airflow yaml 代码
文件路径：/airflow/utils/yaml.py
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"""Use libyaml for YAML dump/load operations where possible.
If libyaml is available we will use it -- it is significantly faster.
This module delegates all other properties to the yaml module, so it can be used as:
.. code-block:: python
import airflow.utils.yaml as yaml
And then be used directly in place of the normal python module.
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, BinaryIO, TextIO, cast
if TYPE_CHECKING:
from yaml.error import MarkedYAMLError, YAMLError # noqa
def safe_load(stream: bytes | str | BinaryIO | TextIO) -> Any:
"""Like yaml.safe_load, but use the C libyaml for speed where we can"""
# delay import until use.
from yaml import load as orig
try:
from yaml import CSafeLoader as SafeLoader
except ImportError:
from yaml import SafeLoader # type: ignore[no-redef]
return orig(stream, SafeLoader)
def dump(data: Any, **kwargs) -> str:
"""Like yaml.safe_dump, but use the C libyaml for speed where we can"""
# delay import until use.
from yaml import dump as orig
try:
from yaml import CSafeDumper as SafeDumper
except ImportError:
from yaml import SafeDumper # type: ignore[no-redef]
return cast(str, orig(data, Dumper=SafeDumper, **kwargs))
def __getattr__(name):
# Delegate anything else to the yaml module
import yaml
if name == "FullLoader":
# Try to use CFullLoader by default
getattr(yaml, "CFullLoader", yaml.FullLoader)
return getattr(yaml, name)
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