from typing import Optional

import dask.dataframe as pd
import pandas
import pyarrow as pa
from qpd_dask.engine import DaskUtils as DaskUtilsBase


class DaskUtils(DaskUtilsBase):
    def as_arrow(
        self, df: pd.DataFrame, schema: Optional[pa.Schema] = None
    ) -> pa.Table:
        """Convert dask dataframe to pyarrow table

        :param df: dask dataframe
        :param schema: if specified, it will be used to construct pyarrow table,
          defaults to None

        :return: pyarrow table
        """
        pdf = df.compute().reset_index(drop=True)
        return pa.Table.from_pandas(
            pdf, schema=schema, preserve_index=False, safe=False
        )

    def is_compatile_index(self, df: pd.DataFrame) -> bool:
        """Check whether the datafame is compatible with the operations inside
        this utils collection

        :param df: dask dataframe
        :return: if it is compatible
        """
        return (
            isinstance(
                df.index,
                (pandas.RangeIndex, pandas.Int64Index, pandas.UInt64Index, pd.Index),
            )
            or self.empty(df)
        )


DASK_UTILS = DaskUtils()

from typing import Optional

import dask.dataframe as pd
import pandas
import pyarrow as pa
from qpd_dask.engine import DaskUtils as DaskUtilsBase


class DaskUtils(DaskUtilsBase):
    def as_arrow(
        self, df: pd.DataFrame, schema: Optional[pa.Schema] = None
    ) -> pa.Table:
        """Convert dask dataframe to pyarrow table

        :param df: dask dataframe
        :param schema: if specified, it will be used to construct pyarrow table,
          defaults to None

        :return: pyarrow table
        """
        pdf = df.compute().reset_index(drop=True)
        return pa.Table.from_pandas(
            pdf, schema=schema, preserve_index=False, safe=False
        )

    def is_compatile_index(self, df: pd.DataFrame) -> bool:
        """Check whether the datafame is compatible with the operations inside
        this utils collection

        :param df: dask dataframe
        :return: if it is compatible
        """
        return (
            isinstance(
                df.index,
                (pandas.RangeIndex, pandas.Int64Index, pandas.UInt64Index, pd.Index),
            )
            or self.empty(df)
        )


DASK_UTILS = DaskUtils()

Convert dask dataframe to pyarrow table          :param df: dask dataframe         :param schema: if specified, it will be used to construct pyarrow table,           defaults to None          :return: pyarrow table Check whether the datafame is compatible with the operations inside         this utils collection          :param df: dask dataframe         :return: if it is compatible