from typing import Any
import boto3
from orchestration.landlord_description_overrides_orchestrator import (
    SALOrchestrator,
)
from infrastructure.csv_s3_client import CsvS3Client
from repositories.raw_address.raw_address_csv_s3_repository import (
    RawAddressCsvS3Repository,
)
from domain.addresses.raw_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)
    raw_address_repo = RawAddressCsvS3Repository(csv_client, bucket)

    orchestrator = SALOrchestrator(
        raw_address_repo=raw_address_repo,
    )

    list_of_raw_address: AddressList = orchestrator.get_raw_addresses(
        input_s3_uri=s3_uri
    )

    col_to_desc_map = orchestrator.get_col_to_description_mappings(
        list_of_raw_address=list_of_raw_address
    )

    # 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"]}