Source code for bigframes.operations.googlesql.global_namespace.conversion

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# DO NOT MODIFY THIS FILE DIRECTLY.
# This file was generated from: scripts/data/sql-functions/global_namespace/conversion.yaml
# by the script: scripts/generate_bigframes_bigquery.py

from __future__ import annotations

import datetime as dt
from typing import Literal, Union

import bigframes.core.col
import bigframes.core.googlesql
import bigframes.core.sentinels as sentinels
import bigframes.series as series
from bigframes import dtypes
from bigframes.operations import googlesql

_BOOL_OP = googlesql.GoogleSqlScalarOp(
    "BOOL",
    args=(googlesql.ArgSpec(),),
    signature=lambda *args: dtypes.BOOL_DTYPE,
)
_DOUBLE_OP = googlesql.GoogleSqlScalarOp(
    "DOUBLE",
    args=(
        googlesql.ArgSpec(),
        googlesql.ArgSpec(arg_name="wide_number_mode", optional=True),
    ),
    signature=lambda *args: dtypes.FLOAT_DTYPE,
)
_FLOAT64_OP = googlesql.GoogleSqlScalarOp(
    "FLOAT64",
    args=(
        googlesql.ArgSpec(),
        googlesql.ArgSpec(arg_name="wide_number_mode", optional=True),
    ),
    signature=lambda *args: dtypes.FLOAT_DTYPE,
)
_INT64_OP = googlesql.GoogleSqlScalarOp(
    "INT64",
    args=(googlesql.ArgSpec(),),
    signature=lambda *args: dtypes.INT_DTYPE,
)
_PARSE_BIGNUMERIC_OP = googlesql.GoogleSqlScalarOp(
    "PARSE_BIGNUMERIC",
    args=(googlesql.ArgSpec(),),
    signature=lambda *args: dtypes.BIGNUMERIC_DTYPE,
)
_PARSE_NUMERIC_OP = googlesql.GoogleSqlScalarOp(
    "PARSE_NUMERIC",
    args=(googlesql.ArgSpec(),),
    signature=lambda *args: dtypes.NUMERIC_DTYPE,
)
_STRING_OP = googlesql.GoogleSqlScalarOp(
    "STRING",
    args=(googlesql.ArgSpec(), googlesql.ArgSpec(optional=True)),
    signature=lambda *args: dtypes.STRING_DTYPE,
)




def bool_(
    json_string_expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ],
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a JSON boolean to a SQL BOOL value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _BOOL_OP,
        json_string_expression,
    )





def double(
    json_string_expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ],
    wide_number_mode: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ] = sentinels.Sentinel.ARGUMENT_DEFAULT,
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a JSON number to a SQL FLOAT64 value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _DOUBLE_OP,
        json_string_expression,
        wide_number_mode,
    )





def float64(
    json_string_expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ],
    wide_number_mode: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ] = sentinels.Sentinel.ARGUMENT_DEFAULT,
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a JSON number to a SQL FLOAT64 value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _FLOAT64_OP,
        json_string_expression,
        wide_number_mode,
    )





def int64(
    json_string_expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ],
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a JSON number to a SQL INT64 value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _INT64_OP,
        json_string_expression,
    )





def parse_bignumeric(
    string_expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ],
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a STRING to a BIGNUMERIC value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _PARSE_BIGNUMERIC_OP,
        string_expression,
    )





def parse_numeric(
    string_expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ],
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a STRING to a NUMERIC value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _PARSE_NUMERIC_OP,
        string_expression,
    )





def string(
    expression: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[
            Literal[sentinels.Sentinel.ARGUMENT_DEFAULT],
            dt.date,
            dt.datetime,
            dt.time,
            str,
        ],
    ],
    timezone: Union[
        series.Series,
        bigframes.core.col.Expression,
        Union[Literal[sentinels.Sentinel.ARGUMENT_DEFAULT], str],
    ] = sentinels.Sentinel.ARGUMENT_DEFAULT,
) -> Union[series.Series, bigframes.core.col.Expression]:
    """Converts a value to a STRING value."""
    return bigframes.core.googlesql.apply_googlesql_scalar_op(
        _STRING_OP,
        expression,
        timezone,
    )