handlers

measurement.signals.handlers

Classes

Measurement

Bases: MeasurementBase

Class to store the measurements and their validation status.

This class holds the value of a given variable and station at a specific time, as well as auxiliary information such as maximum and minimum values, depth and direction, for vector quantities. All of these have a raw version where a backup of the original data is kept, should this change at any point.

Flags to monitor its validation status, if the data is active (and therefore can be used for reporting) and if it has actually been used for that is also included.

Attributes:

Name	Type	Description
depth	int	Depth of the measurement.
direction	Decimal	Direction of the measurement, useful for vector quantities.
raw_value	Decimal	Original value of the measurement.
raw_maximum	Decimal	Original maximum value of the measurement.
raw_minimum	Decimal	Original minimum value of the measurement.
raw_direction	Decimal	Original direction of the measurement.
raw_depth	int	Original depth of the measurement.
is_validated	bool	Flag to indicate if the measurement has been validated.
is_active	bool	Flag to indicate if the measurement is active. An inactive measurement is not used for reporting

Attributes

overwritten: bool property

Indicates if any of the values associated to the entry have been overwritten.

Returns:

Name	Type	Description
bool	bool	True if any raw field is different to the corresponding standard field.

raws: tuple[str, ...] property

Return the raw fields of the measurement.

Returns:

Type	Description
tuple[str, ...]	tuple[str]: Tuple with the names of the raw fields of the measurement.

Functions

clean()

Check consistency of validation, reporting and backs-up values.

Source code in measurement\models.py

def clean(self) -> None:
    """Check consistency of validation, reporting and backs-up values."""
    # Check consistency of validation
    if not self.is_validated and not self.is_active:
        raise ValidationError("Only validated entries can be declared as inactive.")

    # Backup values to raws, if needed
    for r in self.raws:
        value = getattr(self, r.removeprefix("raw_"))
        if value and not getattr(self, r):
            setattr(self, r, value)

Report

Bases: MeasurementBase

Holds the different reporting data.

It also keeps track of which data has already been used when creating the reports.

Attributes:

Name	Type	Description
report_type	str	Type of report. It can be hourly, daily or monthly.
completeness	Decimal	Completeness of the report. Eg. a daily report with 24 hourly measurements would have a completeness of 100%.

Functions

clean()

Validate that the report type and use of the data is consistent.

Source code in measurement\models.py

def clean(self) -> None:
    """Validate that the report type and use of the data is consistent."""
    if self.report_type == ReportType.HOURLY:
        self.time = self.time.replace(minute=0, second=0, microsecond=0)
    elif self.report_type == ReportType.DAILY:
        self.time = self.time.replace(hour=0, minute=0, second=0, microsecond=0)
    elif self.report_type == ReportType.MONTLY:
        self.time = self.time.replace(
            day=1, hour=0, minute=0, second=0, microsecond=0
        )

Functions

set_model_permissions(sender, **kwargs)

Set model-level permissions.

Source code in measurement\signals\handlers.py

@receiver(post_migrate)
def set_model_permissions(sender, **kwargs):
    """Set model-level permissions."""
    for model in [
        Measurement,
        Report,
    ]:
        model.set_model_permissions()