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Version: devel

dlt._workspace.helpers.dashboard.utils.data_quality

Data quality dashboard helpers: controls, section widget, and raw table display.

create_dq_controls​

def create_dq_controls(
    pipeline: dlt.Pipeline
) -> Tuple[
        Optional[mo.ui.checkbox],
        Optional[mo.ui.dropdown],
        Optional[mo.ui.slider],
        Optional[pyarrow.Table],
]

View source on GitHub

Create data quality filter controls by importing from dlthub.

Returns (show_failed_filter, table_filter, rate_filter, checks_arrow). All None on failure or if dlthub is not available.

build_dq_section​

def build_dq_section(
    pipeline: dlt.Pipeline, show_failed_filter: Optional[mo.ui.checkbox],
    table_filter: Optional[mo.ui.dropdown],
    rate_filter: Optional[mo.ui.slider], checks_arrow: Optional[pyarrow.Table]
) -> Tuple[List[mo.Html], Optional[mo.ui.switch]]

View source on GitHub

Build the data quality widget section.

Returns (result_widgets, raw_table_switch). raw_table_switch is None when there is no data or on error.

build_dq_raw_table​

def build_dq_raw_table(
        pipeline: dlt.Pipeline, get_result: Callable[[], pyarrow.Table],
        set_result: Callable[[pyarrow.Table], None]) -> List[mo.Html]

View source on GitHub

Build the raw data quality checks table.

Returns list of widgets to display.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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