from __future__ import annotations

from typing import Any

from django.conf import settings

from .base import BaseSnapshotExtractor, ExtractorConfigError, ExtractorNormalizationError, ExtractorParseError
from .http import ResponsibleHttpClient


def _first_non_empty(record: dict[str, Any], *keys: str) -> Any:
    for key in keys:
        value = record.get(key)
        if value not in (None, ""):
            return value
    return None


ESSENTIAL_FIELDS = {
    "competition_external_id",
    "competition_name",
    "season",
    "team_external_id",
    "team_name",
    "player_external_id",
    "full_name",
    "games_played",
    "minutes_per_game",
    "points_per_game",
    "rebounds_per_game",
    "assists_per_game",
    "steals_per_game",
    "blocks_per_game",
    "turnovers_per_game",
    "fg_pct",
    "three_pt_pct",
    "ft_pct",
}


class LBASnapshotExtractor(BaseSnapshotExtractor):
    """
    LBA (Lega Basket Serie A) MVP extractor.

    Scope is intentionally conservative:
    - one configured public stats endpoint
    - one configured season label
    - normalized player-season rows only
    """

    extractor_name = "lba"
    source_name = "lba"

    def __init__(self, *, http_client: ResponsibleHttpClient | None = None):
        self.url = settings.EXTRACTOR_LBA_STATS_URL.strip()
        self.season_label = settings.EXTRACTOR_LBA_SEASON_LABEL.strip()
        self.competition_external_id = settings.EXTRACTOR_LBA_COMPETITION_EXTERNAL_ID.strip()
        self.competition_name = settings.EXTRACTOR_LBA_COMPETITION_NAME.strip()
        self.include_raw_payload = settings.EXTRACTOR_INCLUDE_RAW_PAYLOAD
        self.http_client = http_client or ResponsibleHttpClient(
            user_agent=settings.EXTRACTOR_USER_AGENT,
            timeout_seconds=settings.EXTRACTOR_HTTP_TIMEOUT_SECONDS,
            retries=settings.EXTRACTOR_HTTP_RETRIES,
            retry_sleep_seconds=settings.EXTRACTOR_RETRY_SLEEP_SECONDS,
            request_delay_seconds=settings.EXTRACTOR_REQUEST_DELAY_SECONDS,
        )

        if not self.url:
            raise ExtractorConfigError("EXTRACTOR_LBA_STATS_URL is required for lba extractor.")
        if not self.season_label:
            raise ExtractorConfigError("EXTRACTOR_LBA_SEASON_LABEL is required for lba extractor.")
        if not self.competition_external_id:
            raise ExtractorConfigError("EXTRACTOR_LBA_COMPETITION_EXTERNAL_ID is required.")
        if not self.competition_name:
            raise ExtractorConfigError("EXTRACTOR_LBA_COMPETITION_NAME is required.")

    def fetch(self) -> Any:
        return self.http_client.get_json(self.url)

    def parse(self, payload: Any) -> list[dict[str, Any]]:
        if isinstance(payload, list):
            return payload
        if not isinstance(payload, dict):
            raise ExtractorParseError("LBA payload must be a JSON object or array.")

        for key in ("records", "data", "players", "items"):
            rows = payload.get(key)
            if isinstance(rows, list):
                return rows

        raise ExtractorParseError("LBA payload must contain one of: records, data, players, items.")

    def normalize_record(self, source_record: dict[str, Any]) -> dict[str, Any]:
        player_obj = source_record.get("player") if isinstance(source_record.get("player"), dict) else {}
        team_obj = source_record.get("team") if isinstance(source_record.get("team"), dict) else {}

        full_name = _first_non_empty(
            source_record,
            "full_name",
            "player_name",
            "name",
        ) or _first_non_empty(player_obj, "full_name", "name")
        first_name = _first_non_empty(source_record, "first_name") or _first_non_empty(player_obj, "first_name")
        last_name = _first_non_empty(source_record, "last_name") or _first_non_empty(player_obj, "last_name")
        player_external_id = _first_non_empty(
            source_record, "player_external_id", "player_id", "athlete_id"
        ) or _first_non_empty(player_obj, "id", "player_id")
        team_external_id = _first_non_empty(source_record, "team_external_id", "team_id") or _first_non_empty(
            team_obj, "id", "team_id"
        )
        team_name = _first_non_empty(source_record, "team_name", "team") or _first_non_empty(team_obj, "name")

        normalized = {
            "competition_external_id": self.competition_external_id,
            "competition_name": self.competition_name,
            "season": self.season_label,
            "team_external_id": team_external_id,
            "team_name": team_name,
            "player_external_id": player_external_id,
            "full_name": full_name,
            "first_name": first_name,
            "last_name": last_name,
            "birth_date": _first_non_empty(source_record, "birth_date") or _first_non_empty(
                player_obj, "birth_date", "dob"
            ),
            "nationality": _first_non_empty(source_record, "nationality")
            or _first_non_empty(player_obj, "nationality", "country"),
            "height_cm": _first_non_empty(source_record, "height_cm") or _first_non_empty(player_obj, "height_cm"),
            "weight_kg": _first_non_empty(source_record, "weight_kg") or _first_non_empty(player_obj, "weight_kg"),
            "position": _first_non_empty(source_record, "position") or _first_non_empty(player_obj, "position"),
            "role": _first_non_empty(source_record, "role"),
            "games_played": _first_non_empty(source_record, "games_played", "gp"),
            "minutes_per_game": _first_non_empty(source_record, "minutes_per_game", "mpg"),
            "points_per_game": _first_non_empty(source_record, "points_per_game", "ppg"),
            "rebounds_per_game": _first_non_empty(source_record, "rebounds_per_game", "rpg"),
            "assists_per_game": _first_non_empty(source_record, "assists_per_game", "apg"),
            "steals_per_game": _first_non_empty(source_record, "steals_per_game", "spg"),
            "blocks_per_game": _first_non_empty(source_record, "blocks_per_game", "bpg"),
            "turnovers_per_game": _first_non_empty(source_record, "turnovers_per_game", "tov"),
            "fg_pct": _first_non_empty(source_record, "fg_pct", "fg_percentage"),
            "three_pt_pct": _first_non_empty(
                source_record, "three_pt_pct", "three_point_pct", "3p_pct", "three_pct"
            ),
            "ft_pct": _first_non_empty(source_record, "ft_pct", "ft_percentage"),
        }

        missing = [key for key in ESSENTIAL_FIELDS if normalized.get(key) in (None, "")]
        if missing:
            raise ExtractorNormalizationError(f"lba row missing required fields: {', '.join(sorted(missing))}")

        normalized["team_external_id"] = str(normalized["team_external_id"]).strip()
        normalized["player_external_id"] = str(normalized["player_external_id"]).strip()
        normalized["competition_external_id"] = str(normalized["competition_external_id"]).strip()
        normalized["season"] = str(normalized["season"]).strip()

        if self.include_raw_payload:
            normalized["raw_payload"] = source_record

        return normalized