from typing import Any
import boto3
from orchestration.sal_orchestrator import (
    SALOrchestrator,
)
from infrastructure.csv_s3_client import CsvS3Client
from repositories.unsanitised_address.unsanitised_address_list_csv_s3_repository import (
    UnsanitisedAddressListCsvS3Repository,
)
from domain.addresses.unsanitised_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)
    unsanitised_address_repo = UnsanitisedAddressListCsvS3Repository(csv_client, bucket)

    sal = SALOrchestrator(
        unsanitised_address_repo=unsanitised_address_repo,
    )

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

    col_to_desc_map = sal.get_col_to_description_mappings(
        list_of_unsanitised_address=addressList
    )

    # Read csv of user input
    # get the column and unique variations of each description
    # { walls: "wall variation 1", "wall varition 2"}
    # Call chatgpt(input from landlord, our way of understanding the mapping) Retrun -> lanlordMapped

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