import asyncio
import importlib
import itertools
import json
import logging
import pathlib
from typing import Any
from rec.query import detail_query, listing_query, QueryParameters
from rec.districts import get_districts
from repositories import ListingRepository
import requests
from tqdm.asyncio import tqdm
from data_access import Listing
from models import Listing as modelListing

dump_images_module = importlib.import_module("3_dump_images")
detect_floorplan_module = importlib.import_module("4_detect_floorplan")

logger = logging.getLogger("uvicorn.error")


async def dump_listings_full(
    parameters: QueryParameters,
    repository: ListingRepository,
    data_dir: pathlib.Path = pathlib.Path("data/rs/"),
) -> list[modelListing]:
    """Fetches all listings, images as well as detects floorplans"""
    new_listings = await dump_listings(parameters, repository, data_dir)
    logger.debug(f"Upserted {len(new_listings)} new listings")
    logger.debug("Starting to fetch floorplans")
    await dump_images_module.dump_images(repository, image_base_path=data_dir)
    logger.debug("Completed fetching floorplans")
    logger.debug("Starting floorplan detection")
    await detect_floorplan_module.detect_floorplan(repository)
    logger.debug("Completed floorplan detection")
    # refresh listings
    listings = await repository.get_listings(parameters)  # this can be better
    new_listings = [l for l in listings if l.id in new_listings]
    return new_listings


async def dump_listings(
    parameters: QueryParameters,
    repository: ListingRepository,
    data_dir: pathlib.Path = pathlib.Path("data/rs/"),
) -> list[modelListing]:
    if parameters.district_names:
        districts = {
            district: locid
            for district, locid in get_districts().items()
            if district in parameters.district_names
        }
    else:
        districts = get_districts()
    logger.debug("Valid districts to scrape:", districts.keys())

    semaphore = asyncio.Semaphore(5)  # if too high, rightmove drops connections
    json_responses: list[list[dict[str, Any]]] = await tqdm.gather(
        *[
            _fetch_listings_with_semaphore(semaphore, parameters, district)
            for district in districts.keys()
        ],
        desc="Fetching listings",
    )
    json_responses_flat = list(itertools.chain.from_iterable(json_responses))
    logger.debug(f"Total listings fetched {len(json_responses_flat)}")
    listings: list[Listing] = []
    for response_json in json_responses_flat:
        if response_json == {}:
            continue
        if response_json["totalAvailableResults"] == 0:
            continue
        for property in response_json["properties"]:
            identifier = property["identifier"]

            listing = Listing(identifier, data_dir=data_dir, _listing_object=property)
            listings.append(listing)

    # if listing is already in db, do not fetch details again
    all_listing_ids = [l.id for l in await repository.get_listings()]
    missing_listing = [
        listing for listing in listings if listing.identifier not in all_listing_ids
    ]
    logger.debug(f"Fetching details for {len(missing_listing)} missing listings")
    listing_details = await tqdm.gather(
        *[
            _fetch_detail_with_semaphore(semaphore, listing.identifier)
            for listing in missing_listing
        ],
        desc="Fetching details (only missing)",
    )
    for listing, detail in zip(missing_listing, listing_details):
        listing._details_object = detail

    logger.debug("Dumping listings to fs")
    await dump_listings_to_fs(missing_listing)
    logger.debug("Upserting listings in db")
    model_listings = await repository.upsert_listings_legacy(
        missing_listing
    )  # upsert in db

    return model_listings


async def _fetch_listings_with_semaphore(
    semaphore: asyncio.Semaphore,
    parameters: QueryParameters,
    district: str,
) -> list[dict[str, Any]]:
    result = []
    # we don't know how many pages we have but we stop as soon as there's no more
    for page_id in range(1, 3):
        logger.debug(f"Processing {page_id=} for {district=}")
        # seems like all searches stop at 1500 entries (page_id * page_size)
        async with semaphore:
            try:
                listing_query_result = await listing_query(
                    page=page_id,
                    channel=parameters.listing_type,
                    min_bedrooms=parameters.min_bedrooms,
                    max_bedrooms=parameters.max_bedrooms,
                    radius=parameters.radius,
                    min_price=parameters.min_price,
                    max_price=parameters.max_price,
                    district=district,
                    page_size=parameters.page_size,
                    max_days_since_added=parameters.max_days_since_added,
                    furnish_types=parameters.furnish_types or [],
                )

            except Exception as e:
                if "GENERIC_ERROR" in str(e):  # Too big page id
                    logger.debug(f"Max page id for {district=}: {page_id-1}")
                    break
                raise e
        result.append(listing_query_result)
    return result


async def _fetch_detail_with_semaphore(
    semaphore: asyncio.Semaphore, listing_id: int
) -> dict[str, Any]:
    async with semaphore:
        d = await detail_query(listing_id)
    return d


async def dump_listings_to_fs(listings: list[Listing]) -> None:
    for listing in tqdm(listings, desc="Dumping listings to FS"):
        listing.dump_listing()
        # if not listing.path_detail_json().exists():
        with open(listing.path_detail_json(), "w") as f:
            json.dump(listing._details_object, f, indent=4)