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udfs.py
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# 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.
from __future__ import annotations
import dataclasses
from bigframes.core import bigframe_node, expression
from bigframes.core.rewrite import op_lowering
import bigframes.functions.udf_def as udf_def
import bigframes.operations as ops
@dataclasses.dataclass
class LowerRemoteFunctionRule(op_lowering.OpLoweringRule):
@property
def op(self) -> type[ops.ScalarOp]:
return ops.RemoteFunctionOp
def lower(self, expr: expression.OpExpression) -> expression.Expression:
assert isinstance(expr.op, ops.RemoteFunctionOp)
func_def = expr.op.function_def
devirtualized_expr = ops.RemoteFunctionOp(
func_def.with_devirtualize(),
apply_on_null=expr.op.apply_on_null,
).as_expr(*expr.children)
if isinstance(func_def.signature.output, udf_def.VirtualListTypeV1):
return func_def.signature.output.out_expr(devirtualized_expr)
else:
return devirtualized_expr
@dataclasses.dataclass
class LowerBinaryRemoteFunctionRule(op_lowering.OpLoweringRule):
@property
def op(self) -> type[ops.ScalarOp]:
return ops.BinaryRemoteFunctionOp
def lower(self, expr: expression.OpExpression) -> expression.Expression:
assert isinstance(expr.op, ops.BinaryRemoteFunctionOp)
func_def = expr.op.function_def
devirtualized_expr = ops.BinaryRemoteFunctionOp(
func_def.with_devirtualize(),
).as_expr(*expr.children)
if isinstance(func_def.signature.output, udf_def.VirtualListTypeV1):
return func_def.signature.output.out_expr(devirtualized_expr)
else:
return devirtualized_expr
@dataclasses.dataclass
class LowerNaryRemoteFunctionRule(op_lowering.OpLoweringRule):
@property
def op(self) -> type[ops.ScalarOp]:
return ops.NaryRemoteFunctionOp
def lower(self, expr: expression.OpExpression) -> expression.Expression:
assert isinstance(expr.op, ops.NaryRemoteFunctionOp)
func_def = expr.op.function_def
devirtualized_expr = ops.NaryRemoteFunctionOp(
func_def.with_devirtualize(),
).as_expr(*expr.children)
if isinstance(func_def.signature.output, udf_def.VirtualListTypeV1):
return func_def.signature.output.out_expr(devirtualized_expr)
else:
return devirtualized_expr
UDF_LOWERING_RULES = (
LowerRemoteFunctionRule(),
LowerBinaryRemoteFunctionRule(),
LowerNaryRemoteFunctionRule(),
)
def lower_udfs(root: bigframe_node.BigFrameNode) -> bigframe_node.BigFrameNode:
return op_lowering.lower_ops(root, rules=UDF_LOWERING_RULES)