sunpeek.common.utils.LogConfig

class sunpeek.common.utils.LogConfig(**data)

Bases: BaseModel

Logging configuration to be set for the server.

Notes

Modified code snipped originally by “Yash Nag” taken from: https://stackoverflow.com/questions/63510041/adding-python-logging-to-fastapi-endpoints-hosted-on-docker-doesnt-display-api

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
dict(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_orm(obj)
json(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate(value)

classmethod construct(_fields_set=None, **values)

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

Return type:

Model

copy(*, include=None, exclude=None, update=None, deep=False)

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

Parameters:

• include (Union[AbstractSetIntStr, MappingIntStrAny, None]) – fields to include in new model

• exclude (Union[AbstractSetIntStr, MappingIntStrAny, None]) – fields to exclude from new model, as with values this takes precedence over include

• update (Optional[DictStrAny]) – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data

• deep (bool) – set to True to make a deep copy of the model

Return type:

Model

Returns:

new model instance

dict(*, include=None, exclude=None, by_alias=False, skip_defaults=None, exclude_unset=False, exclude_defaults=False, exclude_none=False)

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

Return type:

DictStrAny

json(*, include=None, exclude=None, by_alias=False, skip_defaults=None, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=None, models_as_dict=True, **dumps_kwargs)

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().

Return type:

unicode

classmethod update_forward_refs(**localns)

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

Return type:

None