"""api-football integration via RapidAPI.

Supplements FBref data with real-time injury info, expected goals (xG),
expected assists (xA), and fixture data.

Requires RAPIDAPI_KEY environment variable.
"""

import logging
import os
import time
from pathlib import Path
from typing import Optional

import pandas as pd
import requests

logger = logging.getLogger(__name__)

API_BASE = "https://api-football-v1.p.rapidapi.com/v3"
LEAGUE_ID = 135  # Serie A


class APIFootballClient:
    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.getenv("RAPIDAPI_KEY")
        if not self.api_key:
            logger.warning("No RAPIDAPI_KEY found. API calls will fail.")
        self.session = requests.Session()
        self.session.headers.update({
            "x-rapidapi-key": self.api_key or "",
            "x-rapidapi-host": "api-football-v1.p.rapidapi.com",
        })

    def _get(self, endpoint: str, params: Optional[dict] = None) -> dict:
        if not self.api_key:
            raise ValueError("RAPIDAPI_KEY not configured")
        url = f"{API_BASE}/{endpoint}"
        resp = self.session.get(url, params=params, timeout=15)
        resp.raise_for_status()
        data = resp.json()
        if data.get("errors"):
            logger.error(f"API error: {data['errors']}")
        return data

    def get_fixtures(self, season: int, matchday: Optional[int] = None) -> pd.DataFrame:
        """Get Serie A fixtures for a season. Optionally filter by matchday."""
        params = {"league": LEAGUE_ID, "season": season}
        if matchday:
            params["round"] = f"Regular Season - {matchday}"

        data = self._get("fixtures", params)
        fixtures = data.get("response", [])
        rows = []
        for fix in fixtures:
            f = fix["fixture"]
            teams = fix["teams"]
            rows.append({
                "fixture_id": f["id"],
                "date": f["date"],
                "matchday": f.get("round", "").replace("Regular Season - ", ""),
                "home_team": teams["home"]["name"],
                "away_team": teams["away"]["name"],
                "home_goals": fix.get("goals", {}).get("home"),
                "away_goals": fix.get("goals", {}).get("away"),
            })
        return pd.DataFrame(rows)

    def get_team_statistics(self, season: int, team_id: int) -> dict:
        """Get team-level statistics including xG, formations, etc."""
        data = self._get("teams/statistics", {
            "league": LEAGUE_ID, "season": season, "team": team_id,
        })
        return data.get("response", {})

    def get_player_statistics(self, season: int, team_id: int, page: int = 1) -> pd.DataFrame:
        """Get player statistics for a team in a given season."""
        data = self._get("players", {
            "league": LEAGUE_ID, "season": season, "team": team_id, "page": page,
        })
        players = data.get("response", [])
        rows = []
        for p in players:
            player = p["player"]
            stats = p["statistics"][0] if p.get("statistics") else {}
            rows.append({
                "player_id": player["id"],
                "player_name": player["name"],
                "position": stats.get("games", {}).get("position", ""),
                "appearences": stats.get("games", {}).get("appearences", 0),
                "minutes": stats.get("games", {}).get("minutes", 0),
                "goals": stats.get("goals", {}).get("total", 0),
                "assists": stats.get("goals", {}).get("assists", 0),
                "yellow_cards": stats.get("cards", {}).get("yellow", 0),
                "red_cards": stats.get("cards", {}).get("red", 0),
            })
        return pd.DataFrame(rows)

    def get_injuries(self, season: int, team_id: Optional[int] = None) -> pd.DataFrame:
        """Get current injury list."""
        params = {"league": LEAGUE_ID, "season": season}
        if team_id:
            params["team"] = team_id

        data = self._get("injuries", params)
        injuries = data.get("response", [])
        rows = []
        for inj in injuries:
            player = inj["player"]
            row = {
                "player_id": player["id"],
                "player_name": player["name"],
                "team": inj["team"]["name"],
                "injury_type": inj.get("player", {}).get("type", ""),
                "reason": inj.get("player", {}).get("reason", ""),
            }
            rows.append(row)
        return pd.DataFrame(rows)