flexmeasures.data.schemas.sensors

Classes

class flexmeasures.data.schemas.sensors.JSON(*, load_default: typing.Any = <marshmallow.missing>, missing: typing.Any = <marshmallow.missing>, dump_default: typing.Any = <marshmallow.missing>, default: typing.Any = <marshmallow.missing>, data_key: str | None = None, attribute: str | None = None, validate: None | typing.Callable[[typing.Any], typing.Any] | typing.Iterable[typing.Callable[[typing.Any], typing.Any]] = None, required: bool = False, allow_none: bool | None = None, load_only: bool = False, dump_only: bool = False, error_messages: dict[str, str] | None = None, metadata: typing.Mapping[str, typing.Any] | None = None, **additional_metadata)

_deserialize(value, attr, data, **kwargs) → dict

Deserialize value. Concrete Field classes should implement this method.

Parameters:

value – The value to be deserialized.
attr – The attribute/key in data to be deserialized.
data – The raw input data passed to the Schema.load.
kwargs – Field-specific keyword arguments.

Raises:

ValidationError – In case of formatting or validation failure.

Returns:

The deserialized value.

Changed in version 2.0.0: Added attr and data parameters.

Changed in version 3.0.0: Added **kwargs to signature.

_serialize(value, attr, data, **kwargs) → str

Serializes value to a basic Python datatype. Noop by default. Concrete Field classes should implement this method.

Example:

class TitleCase(Field):
    def _serialize(self, value, attr, obj, **kwargs):
        if not value:
            return ''
        return str(value).title()

Parameters:

value – The value to be serialized.
attr (str) – The attribute or key on the object to be serialized.
obj (object) – The object the value was pulled from.
kwargs (dict) – Field-specific keyword arguments.

Returns:

The serialized value

class flexmeasures.data.schemas.sensors.QuantityOrSensor(to_unit: str, default_src_unit: str | None = None, *args, **kwargs)

__init__(to_unit: str, default_src_unit: str | None = None, *args, **kwargs)

Field for validating, serializing and deserializing a Quantity or a Sensor.

NB any validators passed are only applied to Quantities. For example, validate=validate.Range(min=0) will raise a ValidationError in case of negative quantities, but will let pass any sensor that has recorded negative values.

Parameters:

to_unit – unit in which the sensor or quantity should be convertible to
default_src_unit – what unit to use in case of getting a numeric value

_deserialize(value: str | dict[str, int], attr, obj, **kwargs) → ur.Quantity | Sensor

Deserialize value. Concrete Field classes should implement this method.

Parameters:

value – The value to be deserialized.
attr – The attribute/key in data to be deserialized.
data – The raw input data passed to the Schema.load.
kwargs – Field-specific keyword arguments.

Raises:

ValidationError – In case of formatting or validation failure.

Returns:

The deserialized value.

Changed in version 2.0.0: Added attr and data parameters.

Changed in version 3.0.0: Added **kwargs to signature.

_serialize(value: ur.Quantity | dict[str, Sensor], attr, data, **kwargs) → str | dict[str, int]

Serializes value to a basic Python datatype. Noop by default. Concrete Field classes should implement this method.

Example:

class TitleCase(Field):
    def _serialize(self, value, attr, obj, **kwargs):
        if not value:
            return ''
        return str(value).title()

Parameters:

value – The value to be serialized.
attr (str) – The attribute or key on the object to be serialized.
obj (object) – The object the value was pulled from.
kwargs (dict) – Field-specific keyword arguments.

Returns:

The serialized value

convert(value, param, ctx, **kwargs)

Convert the value to the correct type. This is not called if the value is None (the missing value).

This must accept string values from the command line, as well as values that are already the correct type. It may also convert other compatible types.

The param and ctx arguments may be None in certain situations, such as when converting prompt input.

If the value cannot be converted, call fail() with a descriptive message.

Parameters:

value – The value to convert.
param – The parameter that is using this type to convert its value. May be None.
ctx – The current context that arrived at this value. May be None.

class flexmeasures.data.schemas.sensors.RepurposeValidatorToIgnoreSensors(original_validator, *, error: str | None = None)

Validator that executes another validator (the one you initialize it with) only on non-Sensor values.

__init__(original_validator, *, error: str | None = None)

class flexmeasures.data.schemas.sensors.SensorIdField(*args, unit: str | ur.Quantity | None = None, **kwargs)

Field that deserializes to a Sensor and serializes back to an integer.

__init__(*args, unit: str | ur.Quantity | None = None, **kwargs)

_deserialize(value: int, attr, obj, **kwargs) → Sensor: Turn a sensor id into a Sensor.

_serialize(sensor: Sensor, attr, data, **kwargs) → int: Turn a Sensor into a sensor id.

class flexmeasures.data.schemas.sensors.SensorSchema(*args, **kwargs)

Sensor schema, with validations.

class Meta

model: alias of Sensor

opts: SchemaOpts = <flask_marshmallow.sqla.SQLAlchemySchemaOpts object>

class flexmeasures.data.schemas.sensors.SensorSchemaMixin(*, only: types.StrSequenceOrSet | None = None, exclude: types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: types.StrSequenceOrSet = (), dump_only: types.StrSequenceOrSet = (), partial: bool | types.StrSequenceOrSet | None = None, unknown: str | None = None)

Base sensor schema.

Here we include all fields which are implemented by timely_beliefs.SensorDBMixin All classes inheriting from timely beliefs sensor don’t need to repeat these. In a while, this schema can represent our unified Sensor class.

When subclassing, also subclass from ma.SQLAlchemySchema and add your own DB model class, e.g.:

class Meta:
model = Asset

class flexmeasures.data.schemas.sensors.TimeSeriesOrSensor(unit, *args, timezone: str | None = None, value_validator: Validator | None = None, **kwargs)

__init__(unit, *args, timezone: str | None = None, value_validator: Validator | None = None, **kwargs): The timezone is only used in case a time series is specified and one of the timed events in the time series uses a nominal duration, such as “P1D”.

_deserialize(value: str | dict[str, int], attr, obj, **kwargs) → list[dict] | Sensor

Deserialize value. Concrete Field classes should implement this method.

Parameters:

value – The value to be deserialized.
attr – The attribute/key in data to be deserialized.
data – The raw input data passed to the Schema.load.
kwargs – Field-specific keyword arguments.

Raises:

ValidationError – In case of formatting or validation failure.

Returns:

The deserialized value.

Changed in version 2.0.0: Added attr and data parameters.

Changed in version 3.0.0: Added **kwargs to signature.

class flexmeasures.data.schemas.sensors.TimedEventSchema(timezone: str | None = None, value_validator: Validator | None = None, *args, **kwargs)

__init__(timezone: str | None = None, value_validator: Validator | None = None, *args, **kwargs)

A time period (or single point) with a value.

Parameters:: timezone – Optionally, set a timezone to be able to interpret nominal durations.

check_time_window(data: dict, **kwargs)

Checks whether a complete time interval can be derived from the timing fields.

The data is updated in-place, guaranteeing that the ‘start’ and ‘end’ fields are filled out.