Module stac_fastapi.sqlalchemy.config¶

Postgres API configuration.

Classes¶

SqlalchemySettings¶

class SqlalchemySettings(
    __pydantic_self__,
    _env_file: Union[str, os.PathLike, List[Union[str, os.PathLike]], Tuple[Union[str, os.PathLike], ...], NoneType] = '<object object at 0x7f02744d0f70>',
    _env_file_encoding: Optional[str] = None,
    _env_nested_delimiter: Optional[str] = None,
    _secrets_dir: Union[str, os.PathLike, NoneType] = None,
    **values: Any
)

Postgres-specific API settings.

Attributes¶

Name	Type	Description	Default
postgres_user	None	postgres username.	None
postgres_pass	None	postgres password.	None
postgres_host_reader	None	hostname for the reader connection.	None
postgres_host_writer	None	hostname for the writer connection.	None
postgres_port	None	database port.	None
postgres_dbname	None	database name.	None

Ancestors (in MRO)¶

stac_fastapi.types.config.ApiSettings
pydantic.env_settings.BaseSettings
pydantic.main.BaseModel
pydantic.utils.Representation

Class variables¶

Config

Static methods¶

construct¶

def construct(
    _fields_set: Optional[ForwardRef('SetStr')] = None,
    **values: Any
) -> 'Model'

Creates a new model setting dict and fields_set from trusted or pre-validated data.

Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values

from_orm¶

def from_orm(
    obj: Any
) -> 'Model'

parse_file¶

def parse_file(
    path: Union[str, pathlib.Path],
    *,
    content_type: 'unicode' = None,
    encoding: 'unicode' = 'utf8',
    proto: pydantic.parse.Protocol = None,
    allow_pickle: bool = False
) -> 'Model'

parse_obj¶

def parse_obj(
    obj: Any
) -> 'Model'

parse_raw¶

def parse_raw(
    b: Union[str, bytes],
    *,
    content_type: 'unicode' = None,
    encoding: 'unicode' = 'utf8',
    proto: pydantic.parse.Protocol = None,
    allow_pickle: bool = False
) -> 'Model'

schema¶

def schema(
    by_alias: bool = True,
    ref_template: 'unicode' = '#/definitions/{model}'
) -> 'DictStrAny'

schema_json¶

def schema_json(
    *,
    by_alias: bool = True,
    ref_template: 'unicode' = '#/definitions/{model}',
    **dumps_kwargs: Any
) -> 'unicode'

update_forward_refs¶

def update_forward_refs(
    **localns: Any
) -> None

Try to update ForwardRefs on fields based on this Model, globalns and localns.

validate¶

def validate(
    value: Any
) -> 'Model'

Instance variables¶

reader_connection_string

Create reader psql connection string.

writer_connection_string

Create writer psql connection string.

Methods¶

copy¶

def copy(
    self: 'Model',
    *,
    include: Union[ForwardRef('AbstractSetIntStr'), ForwardRef('MappingIntStrAny'), NoneType] = None,
    exclude: Union[ForwardRef('AbstractSetIntStr'), ForwardRef('MappingIntStrAny'), NoneType] = None,
    update: Optional[ForwardRef('DictStrAny')] = None,
    deep: bool = False
) -> 'Model'

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters:

Name	Type	Description	Default
include	None	fields to include in new model	None
exclude	None	fields to exclude from new model, as with values this takes precedence over include	None
update	None	values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data	None
deep	None	set to `True` to make a deep copy of the model	None

Returns:

Type	Description
None	new model instance

dict¶

def dict(
    self,
    *,
    include: Union[ForwardRef('AbstractSetIntStr'), ForwardRef('MappingIntStrAny'), NoneType] = None,
    exclude: Union[ForwardRef('AbstractSetIntStr'), ForwardRef('MappingIntStrAny'), NoneType] = None,
    by_alias: bool = False,
    skip_defaults: Optional[bool] = None,
    exclude_unset: bool = False,
    exclude_defaults: bool = False,
    exclude_none: bool = False
) -> 'DictStrAny'

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

json¶

def json(
    self,
    *,
    include: Union[ForwardRef('AbstractSetIntStr'), ForwardRef('MappingIntStrAny'), NoneType] = None,
    exclude: Union[ForwardRef('AbstractSetIntStr'), ForwardRef('MappingIntStrAny'), NoneType] = None,
    by_alias: bool = False,
    skip_defaults: Optional[bool] = None,
    exclude_unset: bool = False,
    exclude_defaults: bool = False,
    exclude_none: bool = False,
    encoder: Optional[Callable[[Any], Any]] = None,
    models_as_dict: bool = True,
    **dumps_kwargs: Any
) -> 'unicode'

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().