Mabasej_Team/.venv/lib/python3.9/site-packages/pydantic/env_settings.py
Untriex Programming ed6afdb5c9 new
2021-03-17 08:57:57 +01:00

234 lines
8.6 KiB
Python

import os
import warnings
from pathlib import Path
from typing import AbstractSet, Any, Callable, Dict, List, Mapping, Optional, Tuple, Union
from .fields import ModelField
from .main import BaseConfig, BaseModel, Extra
from .typing import display_as_type
from .utils import deep_update, path_type, sequence_like
env_file_sentinel = str(object())
SettingsSourceCallable = Callable[['BaseSettings'], Dict[str, Any]]
class SettingsError(ValueError):
pass
class BaseSettings(BaseModel):
"""
Base class for settings, allowing values to be overridden by environment variables.
This is useful in production for secrets you do not wish to save in code, it plays nicely with docker(-compose),
Heroku and any 12 factor app design.
"""
def __init__(
__pydantic_self__,
_env_file: Union[Path, str, None] = env_file_sentinel,
_env_file_encoding: Optional[str] = None,
_secrets_dir: Union[Path, str, None] = None,
**values: Any,
) -> None:
# Uses something other than `self` the first arg to allow "self" as a settable attribute
super().__init__(
**__pydantic_self__._build_values(
values, _env_file=_env_file, _env_file_encoding=_env_file_encoding, _secrets_dir=_secrets_dir
)
)
def _build_values(
self,
init_kwargs: Dict[str, Any],
_env_file: Union[Path, str, None] = None,
_env_file_encoding: Optional[str] = None,
_secrets_dir: Union[Path, str, None] = None,
) -> Dict[str, Any]:
# Configure built-in sources
init_settings = InitSettingsSource(init_kwargs=init_kwargs)
env_settings = EnvSettingsSource(
env_file=(_env_file if _env_file != env_file_sentinel else self.__config__.env_file),
env_file_encoding=(
_env_file_encoding if _env_file_encoding is not None else self.__config__.env_file_encoding
),
)
file_secret_settings = SecretsSettingsSource(secrets_dir=_secrets_dir or self.__config__.secrets_dir)
# Provide a hook to set built-in sources priority and add / remove sources
sources = self.__config__.customise_sources(
init_settings=init_settings, env_settings=env_settings, file_secret_settings=file_secret_settings
)
if sources:
return deep_update(*reversed([source(self) for source in sources]))
else:
# no one should mean to do this, but I think returning an empty dict is marginally preferable
# to an informative error and much better than a confusing error
return {}
class Config(BaseConfig):
env_prefix = ''
env_file = None
env_file_encoding = None
secrets_dir = None
validate_all = True
extra = Extra.forbid
arbitrary_types_allowed = True
case_sensitive = False
@classmethod
def prepare_field(cls, field: ModelField) -> None:
env_names: Union[List[str], AbstractSet[str]]
field_info_from_config = cls.get_field_info(field.name)
env = field_info_from_config.get('env') or field.field_info.extra.get('env')
if env is None:
if field.has_alias:
warnings.warn(
'aliases are no longer used by BaseSettings to define which environment variables to read. '
'Instead use the "env" field setting. '
'See https://pydantic-docs.helpmanual.io/usage/settings/#environment-variable-names',
FutureWarning,
)
env_names = {cls.env_prefix + field.name}
elif isinstance(env, str):
env_names = {env}
elif isinstance(env, (set, frozenset)):
env_names = env
elif sequence_like(env):
env_names = list(env)
else:
raise TypeError(f'invalid field env: {env!r} ({display_as_type(env)}); should be string, list or set')
if not cls.case_sensitive:
env_names = env_names.__class__(n.lower() for n in env_names)
field.field_info.extra['env_names'] = env_names
@classmethod
def customise_sources(
cls,
init_settings: SettingsSourceCallable,
env_settings: SettingsSourceCallable,
file_secret_settings: SettingsSourceCallable,
) -> Tuple[SettingsSourceCallable, ...]:
return init_settings, env_settings, file_secret_settings
__config__: Config # type: ignore
class InitSettingsSource:
__slots__ = ('init_kwargs',)
def __init__(self, init_kwargs: Dict[str, Any]):
self.init_kwargs = init_kwargs
def __call__(self, settings: BaseSettings) -> Dict[str, Any]:
return self.init_kwargs
def __repr__(self) -> str:
return f'InitSettingsSource(init_kwargs={self.init_kwargs!r})'
class EnvSettingsSource:
__slots__ = ('env_file', 'env_file_encoding')
def __init__(self, env_file: Union[Path, str, None], env_file_encoding: Optional[str]):
self.env_file: Union[Path, str, None] = env_file
self.env_file_encoding: Optional[str] = env_file_encoding
def __call__(self, settings: BaseSettings) -> Dict[str, Any]:
"""
Build environment variables suitable for passing to the Model.
"""
d: Dict[str, Optional[str]] = {}
if settings.__config__.case_sensitive:
env_vars: Mapping[str, Optional[str]] = os.environ
else:
env_vars = {k.lower(): v for k, v in os.environ.items()}
if self.env_file is not None:
env_path = Path(self.env_file).expanduser()
if env_path.is_file():
env_vars = {
**read_env_file(
env_path, encoding=self.env_file_encoding, case_sensitive=settings.__config__.case_sensitive
),
**env_vars,
}
for field in settings.__fields__.values():
env_val: Optional[str] = None
for env_name in field.field_info.extra['env_names']:
env_val = env_vars.get(env_name)
if env_val is not None:
break
if env_val is None:
continue
if field.is_complex():
try:
env_val = settings.__config__.json_loads(env_val) # type: ignore
except ValueError as e:
raise SettingsError(f'error parsing JSON for "{env_name}"') from e
d[field.alias] = env_val
return d
def __repr__(self) -> str:
return f'EnvSettingsSource(env_file={self.env_file!r}, env_file_encoding={self.env_file_encoding!r})'
class SecretsSettingsSource:
__slots__ = ('secrets_dir',)
def __init__(self, secrets_dir: Union[Path, str, None]):
self.secrets_dir: Union[Path, str, None] = secrets_dir
def __call__(self, settings: BaseSettings) -> Dict[str, Any]:
"""
Build fields from "secrets" files.
"""
secrets: Dict[str, Optional[str]] = {}
if self.secrets_dir is None:
return secrets
secrets_path = Path(self.secrets_dir).expanduser()
if not secrets_path.exists():
warnings.warn(f'directory "{secrets_path}" does not exist')
return secrets
if not secrets_path.is_dir():
raise SettingsError(f'secrets_dir must reference a directory, not a {path_type(secrets_path)}')
for field in settings.__fields__.values():
for env_name in field.field_info.extra['env_names']:
path = secrets_path / env_name
if path.is_file():
secrets[field.alias] = path.read_text().strip()
elif path.exists():
warnings.warn(
f'attempted to load secret file "{path}" but found a {path_type(path)} instead.',
stacklevel=4,
)
return secrets
def __repr__(self) -> str:
return f'SecretsSettingsSource(secrets_dir={self.secrets_dir!r})'
def read_env_file(file_path: Path, *, encoding: str = None, case_sensitive: bool = False) -> Dict[str, Optional[str]]:
try:
from dotenv import dotenv_values
except ImportError as e:
raise ImportError('python-dotenv is not installed, run `pip install pydantic[dotenv]`') from e
file_vars: Dict[str, Optional[str]] = dotenv_values(file_path, encoding=encoding or 'utf8')
if not case_sensitive:
return {k.lower(): v for k, v in file_vars.items()}
else:
return file_vars