import csv
from time import sleep

from core.enums import ActivityRefType
from data.activity_ref import ActivityRef
from providers.activityrefdata.file_download_activity_ref_data_provider import (
    FileDownloadActivityRefDataProvider,
)


class GMA(FileDownloadActivityRefDataProvider):
    """Activity ref data provider for Global Mountain Activity"""

    POLL_INTERVAL_DAYS = 30
    ACTIVITY = "GMA"
    DATA_URL = "https://www.gma.rocks/download/summits.csv"

    def __init__(self, provider_config):
        super().__init__(self.ACTIVITY, provider_config, self.DATA_URL, self.POLL_INTERVAL_DAYS)

    def _http_response_to_data(self, http_response):
        new_data = []
        for row in csv.DictReader(http_response.content.decode("utf-8-sig").splitlines()[1:]):
            ref_id = row["Reference"]
            new_data.append(
                ActivityRef(
                    sig=self.ACTIVITY,
                    id=ref_id,
                    name=row.get("Name", None),
                    ref_type=ActivityRefType.SUMMIT,
                    url=f"https://www.cqgma.org/zinfo.php?ref={ref_id}",
                    latitude=float(row["Latitude"]) if "Latitude" in row and row["Latitude"] != "" else None,
                    longitude=float(row["Longitude"]) if "Longitude" in row and row["Longitude"] != "" else None,
                    altitude=float(row["Height (m)"].replace("m", ""))
                    if "Height (m)" in row and row["Height (m)"] != ""
                    else None,
                    grid=row["Maidenhead Locator"],
                )
            )

            # Bail out if a stop has been requested, i.e. the program is shutting down - no need to parse the rest of
            # the data in this case
            if self._stop_event.is_set():
                break

            # Very short pause. This will extend the time to handle activity refs by a few seconds but will ensure some time
            # is available for other threads e.g. the web server.
            sleep(0.001)

        return new_data