dpyverification.datasources.csv

Datasources to fetch thresholds.

Classes

Csv(config)	Datasource for reading CSV files.
CsvConfig(*, import_adapter, source, ...[, ...])	A CSV input config element.

class dpyverification.datasources.csv.Csv(config)

Datasource for reading CSV files.

Parameters:

config (CsvConfig)

kind: str = 'csv'

config_class

alias of CsvConfig

supported_data_types: ClassVar[set[DataType]] = {DataType.threshold}

fetch_data()

Parse thresholds from csv file.

Return type:

Self

class dpyverification.datasources.csv.CsvConfig(*, import_adapter, source, data_type, general, id_mapping=None, directory, filename, stations, variables, thresholds, **extra_data)

A CSV input config element.

Parameters:

• import_adapter (Literal[DataSourceKind.CSV])

• source (Annotated[str, StringConstraints(strip_whitespace=None, to_upper=None, to_lower=None, strict=None, min_length=1, max_length=None, pattern=^[A-Za-z][A-Za-z0-9_]*$), MinLen(min_length=1)])

• data_type (Literal[DataType.threshold])

• general (Annotated[GeneralInfoConfig, SkipJsonSchema()])

• id_mapping (Annotated[IdMappingConfig, SkipJsonSchema()] | None)

• directory (Path)

• filename (str)

• stations (Annotated[list[str], MinLen(min_length=1)])

• variables (Annotated[list[str], MinLen(min_length=1)])

• thresholds (Annotated[list[str], MinLen(min_length=1)])

• extra_data (Any)

import_adapter: Literal[DataSourceKind.CSV]

data_type: Literal[DataType.threshold]

stations: Annotated[list[str], FieldInfo(annotation=NoneType, required=True, metadata=[MinLen(min_length=1)])]

variables: Annotated[list[str], FieldInfo(annotation=NoneType, required=True, metadata=[MinLen(min_length=1)])]

thresholds: Annotated[list[str], FieldInfo(annotation=NoneType, required=True, metadata=[MinLen(min_length=1)])]