"""NHL scraper implementation with multi-source fallback."""

from datetime import datetime, date
from typing import Optional
from bs4 import BeautifulSoup

from .base import BaseScraper, RawGameData, ScrapeResult
from ..models.game import Game
from ..models.team import Team
from ..models.stadium import Stadium
from ..models.aliases import ManualReviewItem
from ..normalizers.canonical_id import generate_game_id
from ..normalizers.team_resolver import (
    TeamResolver,
    TEAM_MAPPINGS,
    get_team_resolver,
)
from ..normalizers.stadium_resolver import (
    StadiumResolver,
    STADIUM_MAPPINGS,
    get_stadium_resolver,
)
from ..utils.logging import get_logger, log_game, log_warning


# International game locations to filter out
INTERNATIONAL_LOCATIONS = {"Prague", "Stockholm", "Helsinki", "Tampere", "Gothenburg"}

# Hockey Reference month URLs
HR_MONTHS = [
    "october", "november", "december",
    "january", "february", "march", "april", "may", "june",
]


class NHLScraper(BaseScraper):
    """NHL schedule scraper with multi-source fallback.

    Sources (in priority order):
    1. Hockey-Reference - Most reliable for NHL
    2. NHL API - Official NHL data
    3. ESPN API - Backup option
    """

    def __init__(self, season: int, **kwargs):
        """Initialize NHL scraper.

        Args:
            season: Season start year (e.g., 2025 for 2025-26)
        """
        super().__init__("nhl", season, **kwargs)
        self._team_resolver = get_team_resolver("nhl")
        self._stadium_resolver = get_stadium_resolver("nhl")

    def _get_sources(self) -> list[str]:
        """Return source list in priority order."""
        return ["hockey_reference", "nhl_api", "espn"]

    def _get_source_url(self, source: str, **kwargs) -> str:
        """Build URL for a source."""
        if source == "hockey_reference":
            month = kwargs.get("month", "october")
            year = kwargs.get("year", self.season + 1)
            return f"https://www.hockey-reference.com/leagues/NHL_{year}_games.html"

        elif source == "nhl_api":
            start_date = kwargs.get("start_date", "")
            end_date = kwargs.get("end_date", "")
            return f"https://api-web.nhle.com/v1/schedule/{start_date}"

        elif source == "espn":
            date_str = kwargs.get("date", "")
            return f"https://site.api.espn.com/apis/site/v2/sports/hockey/nhl/scoreboard?dates={date_str}"

        raise ValueError(f"Unknown source: {source}")

    def _scrape_games_from_source(self, source: str) -> list[RawGameData]:
        """Scrape games from a specific source."""
        if source == "hockey_reference":
            return self._scrape_hockey_reference()
        elif source == "nhl_api":
            return self._scrape_nhl_api()
        elif source == "espn":
            return self._scrape_espn()
        else:
            raise ValueError(f"Unknown source: {source}")

    def _scrape_hockey_reference(self) -> list[RawGameData]:
        """Scrape games from Hockey-Reference.

        HR has a single schedule page per season.
        """
        end_year = self.season + 1
        url = self._get_source_url("hockey_reference", year=end_year)

        try:
            html = self.session.get_html(url)
            games = self._parse_hockey_reference(html, url)
            return games
        except Exception as e:
            self._logger.error(f"Failed to scrape Hockey-Reference: {e}")
            raise

    def _parse_hockey_reference(
        self,
        html: str,
        source_url: str,
    ) -> list[RawGameData]:
        """Parse Hockey-Reference schedule HTML."""
        soup = BeautifulSoup(html, "lxml")
        games: list[RawGameData] = []

        # Find the schedule table
        table = soup.find("table", id="games")
        if not table:
            return games

        tbody = table.find("tbody")
        if not tbody:
            return games

        for row in tbody.find_all("tr"):
            # Skip header rows
            if row.get("class") and "thead" in row.get("class", []):
                continue

            try:
                game = self._parse_hr_row(row, source_url)
                if game:
                    # Filter international games
                    if game.stadium_raw and any(loc in game.stadium_raw for loc in INTERNATIONAL_LOCATIONS):
                        continue
                    games.append(game)
            except Exception as e:
                self._logger.debug(f"Failed to parse HR row: {e}")
                continue

        return games

    def _parse_hr_row(
        self,
        row,
        source_url: str,
    ) -> Optional[RawGameData]:
        """Parse a single Hockey-Reference table row."""
        # Get date
        date_cell = row.find("th", {"data-stat": "date_game"})
        if not date_cell:
            return None

        date_text = date_cell.get_text(strip=True)
        if not date_text:
            return None

        # Parse date (format: "2025-10-15")
        try:
            game_date = datetime.strptime(date_text, "%Y-%m-%d")
        except ValueError:
            return None

        # Get teams
        visitor_cell = row.find("td", {"data-stat": "visitor_team_name"})
        home_cell = row.find("td", {"data-stat": "home_team_name"})

        if not visitor_cell or not home_cell:
            return None

        away_team = visitor_cell.get_text(strip=True)
        home_team = home_cell.get_text(strip=True)

        if not away_team or not home_team:
            return None

        # Get scores
        visitor_goals_cell = row.find("td", {"data-stat": "visitor_goals"})
        home_goals_cell = row.find("td", {"data-stat": "home_goals"})

        away_score = None
        home_score = None

        if visitor_goals_cell and visitor_goals_cell.get_text(strip=True):
            try:
                away_score = int(visitor_goals_cell.get_text(strip=True))
            except ValueError:
                pass

        if home_goals_cell and home_goals_cell.get_text(strip=True):
            try:
                home_score = int(home_goals_cell.get_text(strip=True))
            except ValueError:
                pass

        # Determine status
        status = "final" if home_score is not None else "scheduled"

        # Check for OT/SO
        overtimes_cell = row.find("td", {"data-stat": "overtimes"})
        if overtimes_cell:
            ot_text = overtimes_cell.get_text(strip=True)
            if ot_text:
                status = "final"  # OT games are still final

        return RawGameData(
            game_date=game_date,
            home_team_raw=home_team,
            away_team_raw=away_team,
            stadium_raw=None,  # HR doesn't have stadium
            home_score=home_score,
            away_score=away_score,
            status=status,
            source_url=source_url,
        )

    def _scrape_nhl_api(self) -> list[RawGameData]:
        """Scrape games from NHL API."""
        all_games: list[RawGameData] = []

        for year, month in self._get_season_months():
            start_date = date(year, month, 1)

            url = self._get_source_url("nhl_api", start_date=start_date.strftime("%Y-%m-%d"))

            try:
                data = self.session.get_json(url)
                games = self._parse_nhl_api_response(data, url)
                all_games.extend(games)
            except Exception as e:
                self._logger.debug(f"NHL API error for {year}-{month}: {e}")
                continue

        return all_games

    def _parse_nhl_api_response(
        self,
        data: dict,
        source_url: str,
    ) -> list[RawGameData]:
        """Parse NHL API response."""
        games: list[RawGameData] = []

        game_weeks = data.get("gameWeek", [])

        for week in game_weeks:
            for game_day in week.get("games", []):
                try:
                    game = self._parse_nhl_api_game(game_day, source_url)
                    if game:
                        games.append(game)
                except Exception as e:
                    self._logger.debug(f"Failed to parse NHL API game: {e}")
                    continue

        return games

    def _parse_nhl_api_game(
        self,
        game: dict,
        source_url: str,
    ) -> Optional[RawGameData]:
        """Parse a single NHL API game."""
        # Get date
        start_time = game.get("startTimeUTC", "")
        if not start_time:
            return None

        try:
            game_date = datetime.fromisoformat(start_time.replace("Z", "+00:00"))
        except ValueError:
            return None

        # Get teams
        away_team_data = game.get("awayTeam", {})
        home_team_data = game.get("homeTeam", {})

        away_team = away_team_data.get("placeName", {}).get("default", "")
        home_team = home_team_data.get("placeName", {}).get("default", "")

        if not away_team or not home_team:
            # Try full name
            away_team = away_team_data.get("name", {}).get("default", "")
            home_team = home_team_data.get("name", {}).get("default", "")

        if not away_team or not home_team:
            return None

        # Get scores
        away_score = away_team_data.get("score")
        home_score = home_team_data.get("score")

        # Get venue
        venue = game.get("venue", {})
        stadium = venue.get("default")

        # Get status
        game_state = game.get("gameState", "").lower()

        if game_state in ["final", "off"]:
            status = "final"
        elif game_state == "postponed":
            status = "postponed"
        elif game_state in ["cancelled", "canceled"]:
            status = "cancelled"
        else:
            status = "scheduled"

        return RawGameData(
            game_date=game_date,
            home_team_raw=home_team,
            away_team_raw=away_team,
            stadium_raw=stadium,
            home_score=home_score,
            away_score=away_score,
            status=status,
            source_url=source_url,
        )

    def _scrape_espn(self) -> list[RawGameData]:
        """Scrape games from ESPN API."""
        all_games: list[RawGameData] = []

        for year, month in self._get_season_months():
            # Get number of days in month
            if month == 12:
                next_month = date(year + 1, 1, 1)
            else:
                next_month = date(year, month + 1, 1)

            days_in_month = (next_month - date(year, month, 1)).days

            for day in range(1, days_in_month + 1):
                try:
                    game_date = date(year, month, day)
                    date_str = game_date.strftime("%Y%m%d")
                    url = self._get_source_url("espn", date=date_str)

                    data = self.session.get_json(url)
                    games = self._parse_espn_response(data, url)
                    all_games.extend(games)

                except Exception as e:
                    self._logger.debug(f"ESPN error for {year}-{month}-{day}: {e}")
                    continue

        return all_games

    def _parse_espn_response(
        self,
        data: dict,
        source_url: str,
    ) -> list[RawGameData]:
        """Parse ESPN API response."""
        games: list[RawGameData] = []

        events = data.get("events", [])

        for event in events:
            try:
                game = self._parse_espn_event(event, source_url)
                if game:
                    games.append(game)
            except Exception as e:
                self._logger.debug(f"Failed to parse ESPN event: {e}")
                continue

        return games

    def _parse_espn_event(
        self,
        event: dict,
        source_url: str,
    ) -> Optional[RawGameData]:
        """Parse a single ESPN event."""
        # Get date
        date_str = event.get("date", "")
        if not date_str:
            return None

        try:
            game_date = datetime.fromisoformat(date_str.replace("Z", "+00:00"))
        except ValueError:
            return None

        # Get competitions
        competitions = event.get("competitions", [])
        if not competitions:
            return None

        competition = competitions[0]

        # Check for neutral site (international games like Global Series)
        if competition.get("neutralSite"):
            venue = competition.get("venue", {})
            venue_city = venue.get("address", {}).get("city", "")
            if venue_city in INTERNATIONAL_LOCATIONS:
                return None

        # Get teams
        competitors = competition.get("competitors", [])
        if len(competitors) != 2:
            return None

        home_team = None
        away_team = None
        home_score = None
        away_score = None

        for competitor in competitors:
            team_info = competitor.get("team", {})
            team_name = team_info.get("displayName", "")
            is_home = competitor.get("homeAway") == "home"
            score = competitor.get("score")

            if score:
                try:
                    score = int(score)
                except (ValueError, TypeError):
                    score = None

            if is_home:
                home_team = team_name
                home_score = score
            else:
                away_team = team_name
                away_score = score

        if not home_team or not away_team:
            return None

        # Get venue
        venue = competition.get("venue", {})
        stadium = venue.get("fullName")

        # Get status
        status_info = competition.get("status", {})
        status_type = status_info.get("type", {})
        status_name = status_type.get("name", "").lower()

        if status_name == "status_final":
            status = "final"
        elif status_name == "status_postponed":
            status = "postponed"
        elif status_name == "status_canceled":
            status = "cancelled"
        else:
            status = "scheduled"

        return RawGameData(
            game_date=game_date,
            home_team_raw=home_team,
            away_team_raw=away_team,
            stadium_raw=stadium,
            home_score=home_score,
            away_score=away_score,
            status=status,
            source_url=source_url,
        )

    def _normalize_games(
        self,
        raw_games: list[RawGameData],
    ) -> tuple[list[Game], list[ManualReviewItem]]:
        """Normalize raw games to Game objects with canonical IDs."""
        games: list[Game] = []
        review_items: list[ManualReviewItem] = []

        for raw in raw_games:
            game, item_reviews = self._normalize_single_game(raw)

            if game:
                games.append(game)
                log_game(
                    self.sport,
                    game.id,
                    game.home_team_id,
                    game.away_team_id,
                    game.game_date.strftime("%Y-%m-%d"),
                    game.status,
                )

            review_items.extend(item_reviews)

        return games, review_items

    def _normalize_single_game(
        self,
        raw: RawGameData,
    ) -> tuple[Optional[Game], list[ManualReviewItem]]:
        """Normalize a single raw game."""
        review_items: list[ManualReviewItem] = []

        # Resolve home team
        home_result = self._team_resolver.resolve(
            raw.home_team_raw,
            check_date=raw.game_date.date(),
            source_url=raw.source_url,
        )

        if home_result.review_item:
            review_items.append(home_result.review_item)

        if not home_result.canonical_id:
            log_warning(f"Could not resolve home team: {raw.home_team_raw}")
            return None, review_items

        # Resolve away team
        away_result = self._team_resolver.resolve(
            raw.away_team_raw,
            check_date=raw.game_date.date(),
            source_url=raw.source_url,
        )

        if away_result.review_item:
            review_items.append(away_result.review_item)

        if not away_result.canonical_id:
            log_warning(f"Could not resolve away team: {raw.away_team_raw}")
            return None, review_items

        # Resolve stadium
        stadium_id = None

        if raw.stadium_raw:
            stadium_result = self._stadium_resolver.resolve(
                raw.stadium_raw,
                check_date=raw.game_date.date(),
                source_url=raw.source_url,
            )

            if stadium_result.review_item:
                review_items.append(stadium_result.review_item)

            stadium_id = stadium_result.canonical_id

        # Get abbreviations for game ID
        home_abbrev = self._get_abbreviation(home_result.canonical_id)
        away_abbrev = self._get_abbreviation(away_result.canonical_id)

        # Generate canonical game ID
        game_id = generate_game_id(
            sport=self.sport,
            season=self.season,
            away_abbrev=away_abbrev,
            home_abbrev=home_abbrev,
            game_date=raw.game_date,
            game_number=None,  # NHL doesn't have doubleheaders
        )

        game = Game(
            id=game_id,
            sport=self.sport,
            season=self.season,
            home_team_id=home_result.canonical_id,
            away_team_id=away_result.canonical_id,
            stadium_id=stadium_id or "",
            game_date=raw.game_date,
            game_number=None,
            home_score=raw.home_score,
            away_score=raw.away_score,
            status=raw.status,
            source_url=raw.source_url,
            raw_home_team=raw.home_team_raw,
            raw_away_team=raw.away_team_raw,
            raw_stadium=raw.stadium_raw,
        )

        return game, review_items

    def _get_abbreviation(self, team_id: str) -> str:
        """Extract abbreviation from team ID."""
        parts = team_id.split("_")
        return parts[-1] if parts else ""

    def scrape_teams(self) -> list[Team]:
        """Get all NHL teams from hardcoded mappings."""
        teams: list[Team] = []
        seen: set[str] = set()

        # NHL conference/division structure
        divisions = {
            "Atlantic": ("Eastern", ["BOS", "BUF", "DET", "FLA", "MTL", "OTT", "TB", "TOR"]),
            "Metropolitan": ("Eastern", ["CAR", "CBJ", "NJ", "NYI", "NYR", "PHI", "PIT", "WAS"]),
            "Central": ("Western", ["ARI", "CHI", "COL", "DAL", "MIN", "NSH", "STL", "WPG"]),
            "Pacific": ("Western", ["ANA", "CGY", "EDM", "LA", "SJ", "SEA", "VAN", "VGK"]),
        }

        # Build reverse lookup
        team_divisions: dict[str, tuple[str, str]] = {}
        for div, (conf, abbrevs) in divisions.items():
            for abbrev in abbrevs:
                team_divisions[abbrev] = (conf, div)

        for abbrev, (team_id, full_name, city) in TEAM_MAPPINGS.get("nhl", {}).items():
            if team_id in seen:
                continue
            seen.add(team_id)

            # Parse team name
            parts = full_name.split()
            team_name = parts[-1] if parts else full_name
            # Handle multi-word names
            if team_name in ["Wings", "Jackets", "Knights", "Leafs"]:
                team_name = " ".join(parts[-2:])

            # Get conference and division
            conf, div = team_divisions.get(abbrev, (None, None))

            # Get stadium ID
            stadium_id = None
            nhl_stadiums = STADIUM_MAPPINGS.get("nhl", {})
            for sid, sinfo in nhl_stadiums.items():
                if city.lower() in sinfo.city.lower() or sinfo.city.lower() in city.lower():
                    stadium_id = sid
                    break

            team = Team(
                id=team_id,
                sport="nhl",
                city=city,
                name=team_name,
                full_name=full_name,
                abbreviation=abbrev,
                conference=conf,
                division=div,
                stadium_id=stadium_id,
            )
            teams.append(team)

        return teams

    def scrape_stadiums(self) -> list[Stadium]:
        """Get all NHL stadiums from hardcoded mappings."""
        stadiums: list[Stadium] = []

        nhl_stadiums = STADIUM_MAPPINGS.get("nhl", {})
        for stadium_id, info in nhl_stadiums.items():
            stadium = Stadium(
                id=stadium_id,
                sport="nhl",
                name=info.name,
                city=info.city,
                state=info.state,
                country=info.country,
                latitude=info.latitude,
                longitude=info.longitude,
                surface="ice",
                roof_type="dome",
            )
            stadiums.append(stadium)

        return stadiums


def create_nhl_scraper(season: int) -> NHLScraper:
    """Factory function to create an NHL scraper."""
    return NHLScraper(season=season)
