#  Copyright 2025 Collate
#  Licensed under the Collate Community License, Version 1.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#  https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
#  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.
"""
Auto Classification DAG function builder
"""
import json

from airflow import DAG
from openmetadata_managed_apis.utils.logger import set_operator_logger
from openmetadata_managed_apis.workflows.ingestion.common import (
    build_dag,
    build_source,
    execute_workflow,
)

from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
    IngestionPipeline,
)
from metadata.generated.schema.metadataIngestion.workflow import (
    LogLevels,
    OpenMetadataWorkflowConfig,
    Processor,
    Sink,
    WorkflowConfig,
)
from metadata.workflow.classification import AutoClassificationWorkflow


def auto_classification_workflow(
    workflow_config: OpenMetadataWorkflowConfig,
):
    """
    Task that creates and runs the auto classification workflow.

    The workflow_config gets cooked form the incoming
    ingestionPipeline.

    This is the callable used to create the PythonOperator
    """

    set_operator_logger(workflow_config)

    config = json.loads(
        workflow_config.model_dump_json(exclude_defaults=False, mask_secrets=False)
    )
    workflow = AutoClassificationWorkflow.create(config)
    execute_workflow(workflow, workflow_config)


def build_auto_classification_workflow_config(
    ingestion_pipeline: IngestionPipeline,
) -> OpenMetadataWorkflowConfig:
    """
    Given an airflow_pipeline, prepare the workflow config JSON
    """
    workflow_config = OpenMetadataWorkflowConfig(
        source=build_source(ingestion_pipeline),
        sink=Sink(
            type="metadata-rest",
            config={},
        ),
        processor=Processor(
            type="orm-profiler",
            config={},
        ),
        workflowConfig=WorkflowConfig(
            loggerLevel=ingestion_pipeline.loggerLevel or LogLevels.INFO,
            openMetadataServerConfig=ingestion_pipeline.openMetadataServerConnection,
        ),
        ingestionPipelineFQN=ingestion_pipeline.fullyQualifiedName.root,
    )

    return workflow_config


def build_auto_classification_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
    """
    Build a simple metadata workflow DAG
    """
    workflow_config = build_auto_classification_workflow_config(ingestion_pipeline)
    dag = build_dag(
        task_name="auto_classification_task",
        ingestion_pipeline=ingestion_pipeline,
        workflow_config=workflow_config,
        workflow_fn=auto_classification_workflow,
    )

    return dag