import logging
import time

from datahub.emitter.mce_builder import make_dataset_urn
from datahub.emitter.mcp import MetadataChangeProposalWrapper

# read-modify-write requires access to the DataHubGraph (RestEmitter is not enough)
from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph

# Imports for metadata model classes
from datahub.metadata.schema_classes import (
    AuditStampClass,
    EditableSchemaFieldInfoClass,
    EditableSchemaMetadataClass,
    InstitutionalMemoryClass,
)

log = logging.getLogger(__name__)
logging.basicConfig(level=<http://logging.INFO|logging.INFO>)


def get_simple_field_path_from_v2_field_path(field_path: str) -> str:
    """A helper function to extract simple . path notation from the v2 field path"""
    if not field_path.startswith("[version=2.0]"):
        # not a v2, we assume this is a simple path
        return field_path
        # this is a v2 field path
    tokens = [
        t for t in field_path.split(".") if not (t.startswith("[") or t.endswith("]"))
    ]

    return ".".join(tokens)


# Inputs -> owner, ownership_type, dataset
documentation_to_add = (
    "ui destination"
)
dataset_urn = "urn:li:dataset:(urn:li:dataPlatform:hdfs,SampleHdfsDataset,PROD)"
column = "shipment_info.destination"
field_info_to_set = EditableSchemaFieldInfoClass(
    fieldPath=column, description=documentation_to_add
)


# Some helpful variables to fill out objects later
now = int(time.time() * 1000)  # milliseconds since epoch
current_timestamp = AuditStampClass(time=now, actor="urn:li:corpuser:ingestion")


# First we get the current owners
gms_endpoint = "<http://localhost:8080>"
graph = DataHubGraph(config=DatahubClientConfig(server=gms_endpoint))

current_editable_schema_metadata = graph.get_aspect(
    entity_urn=dataset_urn,
    aspect_type=EditableSchemaMetadataClass,
)
# print(current_editable_schema_metadata)

need_write = False
field_match = False
if current_editable_schema_metadata:
    for fieldInfo in current_editable_schema_metadata.editableSchemaFieldInfo:
        if get_simple_field_path_from_v2_field_path(fieldInfo.fieldPath) == column:
            # we have some editable schema metadata for this field
            field_match = True
            if documentation_to_add != fieldInfo.description:
                fieldInfo.description = documentation_to_add
                need_write = True
    # this part is added to address the condition if field does not exist in editableschemametadata aspect
    if not field_match:
        curr_editableSchemaFieldInfo = current_editable_schema_metadata.editableSchemaFieldInfo
        curr_editableSchemaFieldInfo.append(field_info_to_set)
        current_editable_schema_metadata.editableSchemaFieldInfo = curr_editableSchemaFieldInfo
        need_write = True
else:
    # create a brand new editable dataset properties aspect
    current_editable_schema_metadata = EditableSchemaMetadataClass(
        editableSchemaFieldInfo=[field_info_to_set],
        created=current_timestamp,
    )
    need_write = True
print(f"need_write is {need_write}")
if need_write:
    event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper(
        entityUrn=dataset_urn,
        aspect=current_editable_schema_metadata,
    )
    graph.emit(event)
    <http://log.info|log.info>(f"Documentation added to dataset {dataset_urn}")

else:
    <http://log.info|log.info>("Documentation already exists and is identical, omitting write")


need_write = False