#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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 contextlib import contextmanager
from typing import Generator, Optional
from pyspark.sql import SparkSession

from typing import Any, cast


@contextmanager
def add_pipeline_analysis_context(
    spark: SparkSession, dataflow_graph_id: str, flow_name: Optional[str]
) -> Generator[None, None, None]:
    """
    Context manager that add PipelineAnalysisContext extension to the user context
    used for pipeline specific analysis.
    """
    extension_id = None
    # Cast because mypy seems to think `spark` is a function, not an object.
    # Likely related to SPARK-47544.
    client = cast(Any, spark).client
    try:
        import pyspark.sql.connect.proto as pb2
        from google.protobuf import any_pb2

        analysis_context = pb2.PipelineAnalysisContext(
            dataflow_graph_id=dataflow_graph_id, flow_name=flow_name
        )
        extension = any_pb2.Any()
        extension.Pack(analysis_context)
        extension_id = client.add_threadlocal_user_context_extension(extension)
        yield
    finally:
        client.remove_user_context_extension(extension_id)