from typing import Any
import boto3
from orchestration.sal_orchestrator import (
    SALOrchestrator,
)
from infrastructure.s3.csv_s3_client import CsvS3Client
from repositories.unstandardised_address.unstandardised_address_list_csv_s3_repository import (
    UnstandardisedAddressListCsvS3Repository,
)
from domain.addresses.unstandardised_address import AddressList


def handler(
    body: dict[str, Any],
    context: Any,
) -> dict[str, list[str]]:

    s3_uri = "s3://retrofit-data-dev/bulk_onboarding_inputs/hyde2 (1).csv"
    bucket = "retrofit-data-dev"

    # boto3.client is overloaded per-service in the installed stubs; cast
    # to Any so the strict-mode checker treats it as opaque.
    boto3_client: Any = boto3.client  # noqa
    boto_s3: Any = boto3_client("s3")

    csv_client = CsvS3Client(boto_s3, bucket)
    unstandardised_address_repo = UnstandardisedAddressListCsvS3Repository(
        csv_client, bucket
    )

    sal = SALOrchestrator(
        unstandardised_address_repo=unstandardised_address_repo,
    )

    addressList: AddressList = sal.get_unstandardised_addresses(input_s3_uri=s3_uri)

    column_mapping = {
        # "Wall Description": "Walls",
        "Property Type": "Property Type",
    }

    col_to_desc_map = sal.get_col_to_description_mappings(
        list_of_unstandardised_address=addressList
    )

    """
    ----
    # TODO Property Type:
    # 1) Make a small enum with all property types (5 enum)
    # 2) Make an interface with ChatGPTAi to get wall field description and map it to enum
    # 3) Stroe in landlord overrides
    # TODO Wall Type:
    # 1) Make a small enum with all property types (5 enum)
    # 2) Make an interface with ChatGPTAi to get wall field description and map it to enum
    # 3) Stroe in landlord overrides
    ---
    """

    return {"hello": ["200"]}