filters

importing.filters

Classes

DataImport

Bases: PermissionsBase

Model to store the data imports.

This model stores the data imports, which are, often, files with data that are uploaded to the system. The data is then processed asynchronously and stored in the database.

Attributes:

Name	Type	Description
station	ForeignKey	Station to which the data belongs.
format	ForeignKey	Format of the data.
rawfile	FileField	File with the data to be imported.
date	DateTimeField	Date of submission of the data.
start_date	DateTimeField	Start date of the data.
end_date	DateTimeField	End date of the data.
records	IntegerField	Number of records in the data.
observations	TextField	Notes or observations about the data.
status	TextField	Status of the import.
log	TextField	Log of the data ingestion, indicating any errors.

Functions

clean()

Validate information and uploads the measurement data.

Source code in importing/models.py

def clean(self) -> None:
    """Validate information and uploads the measurement data."""
    tz = self.station.timezone
    if not tz:
        raise ValidationError("Station must have a timezone set.")

    if self.origin.origin == "Thingsboard" and not self.format.thingsboard:
        raise ValidationError("Ensure a Thingsboard-specific format is specified.")

DataImportFilter

Bases: FilterSet

Format

Bases: PermissionsBase

Details of the data file format, describing how to read the file.

It combines several properties, such as the file extension, the delimiter, the date and time formats, and the column indices for the date and time columns, instructing how to read the data file and parse the dates. It is mostly used to ingest data from text files, like CSV. For Thingsboard imports, only the name, description and thingsboard fields are applicable.

Attributes:

Name	Type	Description
format_id	AutoField	Primary key.
name	CharField	Short name of the format entry.
description	TextField	Description of the format.
extension	ForeignKey	The extension of the data file.
delimiter	ForeignKey	The delimiter between columns in the data file. Only required for text files.
first_row	PositiveSmallIntegerField	Index of the first row with data, starting in 0.
footer_rows	PositiveSmallIntegerField	Number of footer rows to be ignored at the end.
date	ForeignKey	Format for the date column. Only required for text files.
date_column	PositiveSmallIntegerField	Index of the date column, starting in 0.
time	ForeignKey	Format for the time column. Only required for text files.
time_column	PositiveSmallIntegerField	Index of the time column, starting in 0.
thingsboard	BooleanField	Whether the data is being imported from Thingsboard.

Attributes

datetime_format property

Obtain the datetime format string.

Functions

__str__()

Return the string representation of the object.

Source code in formatting/models.py

def __str__(self) -> str:
    """Return the string representation of the object."""
    return str(self.name)

clean()

Validate the model instance.

Checks that the required fields for non-Thingsboard data are provided.

Source code in formatting/models.py

def clean(self) -> None:
    """Validate the model instance.

    Checks that the required fields for non-Thingsboard data are provided.
    """
    super().clean()
    errors = {}
    if not self.thingsboard:
        required_fields = (
            "extension",
            "first_row",
            "footer_rows",
            "date_column",
            "time_column",
        )
        for field in required_fields:
            if getattr(self, field) is None:
                errors[field] = "Field is required for non-Thingsboard data."

    if errors:
        raise ValidationError(errors)

datetime_columns(delimiter)

Column indices that correspond to the date and time columns in the dataset.

Parameters:

Name	Type	Description	Default
delimiter	str	The delimiter used to split the date and time codes.	required

Returns:

Type	Description
list[int]	list[int]: A list of column indices.

Source code in formatting/models.py

def datetime_columns(self, delimiter: str) -> list[int]:
    """Column indices that correspond to the date and time columns in the dataset.

    Args:
        delimiter (str): The delimiter used to split the date and time codes.

    Returns:
        list[int]: A list of column indices.
    """
    date_items = self.date.code.split(delimiter)
    date_cols = list(range(self.date_column, self.date_column + len(date_items)))
    time_items = self.time.code.split(delimiter)
    time_cols = list(range(self.time_column, self.time_column + len(time_items)))
    return date_cols + time_cols

get_absolute_url()

Get the absolute URL of the object.

Source code in formatting/models.py

def get_absolute_url(self) -> str:
    """Get the absolute URL of the object."""
    return reverse("formatting:format_detail", kwargs={"pk": self.pk})

MapLayerImport

Bases: PermissionsBase

Functions

clean()

Validate the uploaded GeoTIFF and its transformed lon/lat bounds.

Source code in importing/models.py

def clean(self) -> None:
    """Validate the uploaded GeoTIFF and its transformed lon/lat bounds."""

    if not self.file:
        return

    import rasterio
    from rasterio.warp import transform_bounds

    file_obj = self.file.file
    try:
        with rasterio.MemoryFile(file_obj.read()) as memfile:
            with memfile.open() as dataset:
                if dataset.count == 0:
                    raise ValidationError(
                        {"file": "File contains no raster bands."}
                    )
                if dataset.crs is None:
                    raise ValidationError(
                        {"file": "File has no coordinate reference system (CRS)."}
                    )

                left, bottom, right, top = transform_bounds(
                    dataset.crs,
                    "EPSG:4326",
                    dataset.bounds.left,
                    dataset.bounds.bottom,
                    dataset.bounds.right,
                    dataset.bounds.top,
                )

                if not (-180 <= left <= 180 and -180 <= right <= 180):
                    raise ValidationError(
                        {
                            "file": (
                                "GeoTIFF longitude values are out of range "
                                "[-180, 180]."
                            )
                        }
                    )
                if not (-90 <= bottom <= 90 and -90 <= top <= 90):
                    raise ValidationError(
                        {
                            "file": (
                                "GeoTIFF latitude values are out of range "
                                "[-90, 90]."
                            )
                        }
                    )
    except ValidationError:
        raise
    except Exception as e:
        raise ValidationError(
            {"file": f"Could not open as a valid GeoTIFF or read coordinates: {e}"}
        )
    finally:
        file_obj.seek(0)

MapLayerImportFilter

Bases: FilterSet

Station

Bases: PermissionsBase

Main representation of a station, including several metadata.

Attributes:

Name	Type	Description
visibility	str	Visibility level of the object, including an "internal" option.
station_id	int	Primary key.
station_code	str	Unique code for the station.
station_name	str	Brief description of the station.
station_type	StationType	Type of the station.
country	Country	Country where the station is located.
region	Region	Region within the Country where the station is located.
ecosystem	Ecosystem	Ecosystem associated with the station.
institution	Institution	Institutional partner responsible for the station.
place_basin	PlaceBasin	Place-Basin association.
station_state	bool	Is the station operational?
timezone	str	Timezone of the station.
station_latitude	Decimal	Latitude of the station, in degrees [-90 to 90].
station_longitude	Decimal	Longitude of the station, in degrees [-180 to 180].
station_altitude	int	Altitude of the station.
influence_km	Decimal	Area of influence in km2.
station_file	ImageField	Photography of the station.
station_external	bool	Is the station external?
variables	str	Comma-separated list of variables measured by the station.

Attributes

variables_list property

Return the list of variables measured by the station.

Only variables with data in the database are returned.

Returns:

Type	Description
list[str]	list[str]: List of variables measured by the station.

Functions

__str__()

Return the station code.

Source code in station/models.py

def __str__(self) -> str:
    """Return the station code."""
    return str(self.station_code)

get_absolute_url()

Return the absolute url of the station.

Source code in station/models.py

def get_absolute_url(self) -> str:
    """Return the absolute url of the station."""
    return reverse("station:station_detail", kwargs={"pk": self.pk})

set_object_permissions()

Set object-level permissions.

This method is called by the save method of the model to set the object-level permissions based on the visibility level of the object. In addition to the standard permissions for the station, the view_measurements permission is set which controls who can view the measurements associated to the station.

Source code in station/models.py

def set_object_permissions(self) -> None:
    """Set object-level permissions.

    This method is called by the save method of the model to set the object-level
    permissions based on the visibility level of the object. In addition to the
    standard permissions for the station, the view_measurements permission is set
    which controls who can view the measurements associated to the station.
    """
    super().set_object_permissions()

    standard_group = Group.objects.get(name="Standard")
    anonymous_user = get_anonymous_user()

    # Assign view_measurements permission based on permissions level
    if self.visibility == "public":
        assign_perm("view_measurements", standard_group, self)
        assign_perm("view_measurements", anonymous_user, self)
        if self.owner:
            remove_perm("view_measurements", self.owner, self)
    elif self.visibility == "internal":
        assign_perm("view_measurements", standard_group, self)
        remove_perm("view_measurements", anonymous_user, self)
        if self.owner:
            remove_perm("view_measurements", self.owner, self)
    elif self.visibility == "private":
        remove_perm("view_measurements", standard_group, self)
        remove_perm("view_measurements", anonymous_user, self)
        if self.owner:
            assign_perm("view_measurements", self.owner, self)

ThingsboardImportMap

Bases: PermissionsBase

Model to store Thingsboard device mappings to station variables.

This model maps Thingsboard devices to specific variables at stations, allowing data from IoT devices to be imported and associated with the correct station and variable combinations.

Attributes:

Name	Type	Description
tb_variable	CharField	Name of the variable in Thingsboard.
variable	ForeignKey	The existing variable in Paricia associated with this mapping.
tb_device_name	CharField	The name of the device in Thingsboard.
station	ForeignKey	The name of the corresponding station in Paricia.

Functions

clean()

Validate that the variable is valid for the station.

Source code in importing/models.py

def clean(self) -> None:
    """Validate that the variable is valid for the station."""
    try:
        station = self.station
    except ThingsboardImportMap.station.RelatedObjectDoesNotExist:
        raise ValidationError({"station": "Station is required."})

    try:
        variable = self.variable
    except ThingsboardImportMap.variable.RelatedObjectDoesNotExist:
        raise ValidationError({"variable": "Variable is required."})

    # Check if the variable is valid for the station through SensorInstallation
    if not SensorInstallation.objects.filter(
        variable=variable, station=station
    ).exists():
        raise ValidationError(
            {
                "variable": f"Variable '{variable}' is not configured for"
                f" station '{station}' via a sensor installation."
            }
        )

ThingsboardImportMapFilter

Bases: FilterSet