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:
        if key in record and record[key] not in (None, ""):
            return record[key]
    return None


class PublicJsonSnapshotExtractor(BaseSnapshotExtractor):
    """
    Generic public JSON extractor for MVP v2.

    This extractor is intentionally generic and lightweight:
    - fetch from one public JSON endpoint
    - parse list-like payloads
    - normalize into HoopScout snapshot schema
    """

    extractor_name = "public_json_snapshot"

    def __init__(
        self,
        *,
        url: str | None = None,
        source_name: str | None = None,
        include_raw_payload: bool | None = None,
        http_client: ResponsibleHttpClient | None = None,
    ):
        self.url = (url or settings.EXTRACTOR_PUBLIC_JSON_URL).strip()
        self.source_name = (source_name or settings.EXTRACTOR_PUBLIC_SOURCE_NAME).strip()
        self.include_raw_payload = (
            settings.EXTRACTOR_INCLUDE_RAW_PAYLOAD if include_raw_payload is None else include_raw_payload
        )
        if not self.url:
            raise ExtractorConfigError("EXTRACTOR_PUBLIC_JSON_URL is required for public_json_snapshot extractor.")
        if not self.source_name:
            raise ExtractorConfigError("EXTRACTOR_PUBLIC_SOURCE_NAME must not be empty.")

        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,
        )

    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("Fetched payload must be a JSON object or array.")

        rows = payload.get("records")
        if isinstance(rows, list):
            return rows

        data_rows = payload.get("data")
        if isinstance(data_rows, list):
            return data_rows

        raise ExtractorParseError("Payload must contain 'records' or 'data' list.")

    def normalize_record(self, source_record: dict[str, Any]) -> dict[str, Any]:
        normalized = {
            "competition_external_id": _first_non_empty(
                source_record, "competition_external_id", "competition_id", "league_id"
            ),
            "competition_name": _first_non_empty(
                source_record, "competition_name", "competition", "league_name"
            ),
            "season": _first_non_empty(source_record, "season", "season_label", "season_name"),
            "team_external_id": _first_non_empty(source_record, "team_external_id", "team_id"),
            "team_name": _first_non_empty(source_record, "team_name", "team"),
            "player_external_id": _first_non_empty(source_record, "player_external_id", "player_id"),
            "full_name": _first_non_empty(source_record, "full_name", "player_name", "name"),
            "first_name": _first_non_empty(source_record, "first_name"),
            "last_name": _first_non_empty(source_record, "last_name"),
            "birth_date": _first_non_empty(source_record, "birth_date"),
            "nationality": _first_non_empty(source_record, "nationality", "nationality_code"),
            "height_cm": _first_non_empty(source_record, "height_cm"),
            "weight_kg": _first_non_empty(source_record, "weight_kg"),
            "position": _first_non_empty(source_record, "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"),
            "three_pt_pct": _first_non_empty(
                source_record, "three_pt_pct", "three_point_pct", "three_pct", "3p_pct"
            ),
            "ft_pct": _first_non_empty(source_record, "ft_pct"),
        }

        missing = [key for key, value in normalized.items() if key != "role" and value in (None, "")]
        if missing:
            raise ExtractorNormalizationError(
                f"public_json_snapshot row missing required fields: {', '.join(sorted(missing))}"
            )

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

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

        return normalized