from __future__ import annotations

import re
from datetime import datetime
from typing import Any

import pandas as pd
import requests

from utils.logger import logger

WBC_SCHEDULE_URL_TEMPLATE = "https://www.mlb.com/world-baseball-classic/schedule/{date_str}"
SCHEDULE_API_URL = "https://statsapi.mlb.com/api/v1/schedule"

HEADERS = {
    "User-Agent": "Mozilla/5.0",
    "Accept-Language": "en-US,en;q=0.9",
}

TEAM_MAP = {
    "AUS": "Australia",
    "BRA": "Brazil",
    "CAN": "Canada",
    "CHN": "China",
    "TPE": "Chinese Taipei",
    "COL": "Colombia",
    "CUB": "Cuba",
    "CZE": "Czechia",
    "DOM": "Dominican Republic",
    "GBR": "Great Britain",
    "ISR": "Israel",
    "ITA": "Italy",
    "JPN": "Japan",
    "KOR": "Korea",
    "MEX": "Mexico",
    "NED": "Netherlands",
    "NCA": "Nicaragua",
    "PAN": "Panama",
    "PUR": "Puerto Rico",
    "USA": "United States",
    "VEN": "Venezuela",
}

TEAM_NORMALIZATION = {
    "Chinese Taipei": "Chinese Taipei",
    "Czech Republic": "Czechia",
    "South Korea": "Korea",
    "USA": "United States",
    "U.S.A.": "United States",
}

TV_MARKERS = {"FS1", "FS2", "FOX", "Tubi"}
TIME_RE = re.compile(r"^\d{1,2}:\d{2}\s+[AP]M\s+ET$")
ABBR_RE = re.compile(r"^[A-Z]{3}$")
GAME_PK_RE = re.compile(r"/gameday/(\d+)")


def _normalize_team_name(name: Any) -> str:
    text = str(name or "").strip()
    if not text:
        return ""
    return TEAM_NORMALIZATION.get(text, text)


def _strip_html_to_lines(html: str) -> list[str]:
    text = re.sub(r"<script.*?</script>", " ", html, flags=re.DOTALL | re.IGNORECASE)
    text = re.sub(r"<style.*?</style>", " ", text, flags=re.DOTALL | re.IGNORECASE)
    text = re.sub(r"<[^>]+>", "\n", text)
    text = text.replace("&nbsp;", " ")
    text = re.sub(r"\r", "\n", text)
    text = re.sub(r"\n+", "\n", text)

    raw_lines = [line.strip() for line in text.split("\n") if line.strip()]

    cleaned: list[str] = []
    for line in raw_lines:
        if line.startswith("Image:"):
            continue
        if line.startswith("calendar-") or line.startswith("schedule-tickets-") or line.startswith("search-"):
            continue
        cleaned.append(line)

    deduped: list[str] = []
    for line in cleaned:
        if not deduped or deduped[-1] != line:
            deduped.append(line)

    return deduped


def _full_team(abbr: str) -> str:
    return TEAM_MAP.get(abbr, abbr)


def _extract_game_pks(html: str) -> list[str]:
    found = GAME_PK_RE.findall(html)
    seen = []
    for pk in found:
        if pk not in seen:
            seen.append(pk)
    return seen


def _fetch_wbc_schedule_for_date(date_str: str) -> pd.DataFrame:
    url = WBC_SCHEDULE_URL_TEMPLATE.format(date_str=date_str)
    response = requests.get(url, headers=HEADERS, timeout=30)
    response.raise_for_status()

    html = response.text
    lines = _strip_html_to_lines(html)
    game_pks = _extract_game_pks(html)

    rows: list[dict[str, Any]] = []

    i = 0
    game_pk_index = 0

    while i < len(lines):
        line = lines[i]

        if ABBR_RE.match(line):
            away_abbr = line
            j = i + 1

            while j < len(lines) and lines[j] == away_abbr:
                j += 1

            if j >= len(lines) or lines[j] != "@":
                i += 1
                continue

            j += 1
            if j >= len(lines) or not ABBR_RE.match(lines[j]):
                i += 1
                continue

            home_abbr = lines[j]
            j += 1

            while j < len(lines) and lines[j] == home_abbr:
                j += 1

            status = ""
            start_time_et = ""
            tv = ""

            if j < len(lines):
                token = lines[j]

                if token == "LIVE":
                    status = "Live"
                    j += 1
                elif token.startswith("Final"):
                    status = token
                    j += 1
                elif TIME_RE.match(token):
                    status = "Scheduled"
                    start_time_et = token
                    j += 1
                elif token.startswith("Preview"):
                    status = "Preview"
                    j += 1

            if j < len(lines) and lines[j] in TV_MARKERS:
                tv = lines[j]
                j += 1

            game_pk = game_pks[game_pk_index] if game_pk_index < len(game_pks) else ""
            game_pk_index += 1

            rows.append(
                {
                    "fetched_at": datetime.utcnow(),
                    "game_id": f"{date_str}:{away_abbr}:{home_abbr}",
                    "game_date": date_str,
                    "game_pk": game_pk,
                    "status": status,
                    "away_team": _full_team(away_abbr),
                    "home_team": _full_team(home_abbr),
                    "away_score": None,
                    "home_score": None,
                    "away_hits": None,
                    "home_hits": None,
                    "away_errors": None,
                    "home_errors": None,
                    "venue": "",
                    "game_datetime_utc": "",
                    "tv": tv,
                    "start_time_et": start_time_et,
                    "sport_id": 51,
                }
            )

            i = j
            continue

        i += 1

    return pd.DataFrame(rows)


def _fetch_mlb_schedule_for_date(date_str: str) -> pd.DataFrame:
    params = {
        "sportId": 1,
        "date": date_str,
        "hydrate": "broadcasts",
    }

    response = requests.get(SCHEDULE_API_URL, headers=HEADERS, params=params, timeout=30)
    response.raise_for_status()
    payload = response.json()

    rows: list[dict[str, Any]] = []

    for date_block in payload.get("dates", []) or []:
        for game in date_block.get("games", []) or []:
            game_pk = game.get("gamePk")

            teams = game.get("teams", {}) or {}
            away = teams.get("away", {}) or {}
            home = teams.get("home", {}) or {}

            away_team = _normalize_team_name((away.get("team", {}) or {}).get("name"))
            home_team = _normalize_team_name((home.get("team", {}) or {}).get("name"))

            status_info = game.get("status", {}) or {}
            detailed_state = str(status_info.get("detailedState", "") or "").strip()
            abstract_state = str(status_info.get("abstractGameState", "") or "").strip().lower()

            status = ""
            if abstract_state == "live":
                status = "Live"
            elif abstract_state == "final":
                status = "Final"
            elif abstract_state == "preview":
                status = "Scheduled"
            else:
                status = detailed_state

            game_datetime = game.get("gameDate", "")
            start_time_et = ""
            if game_datetime:
                try:
                    ts = pd.to_datetime(game_datetime, utc=True).tz_convert("America/New_York")
                    start_time_et = ts.strftime("%-I:%M %p ET")
                except Exception:
                    start_time_et = ""

            broadcasts = game.get("broadcasts", []) or []
            tv = ""
            if broadcasts:
                names = []
                for b in broadcasts:
                    name = str((b.get("name") or "")).strip()
                    if name and name not in names:
                        names.append(name)
                tv = ", ".join(names)

            if away_team and home_team:
                rows.append(
                    {
                        "fetched_at": datetime.utcnow(),
                        "game_id": f"{date_str}:{away_team}:{home_team}",
                        "game_date": date_str,
                        "game_pk": str(game_pk) if game_pk is not None else "",
                        "status": status,
                        "away_team": away_team,
                        "home_team": home_team,
                        "away_score": None,
                        "home_score": None,
                        "away_hits": None,
                        "home_hits": None,
                        "away_errors": None,
                        "home_errors": None,
                        "venue": str((game.get("venue", {}) or {}).get("name", "") or "").strip(),
                        "game_datetime_utc": str(game.get("gameDate", "") or "").strip(),
                        "tv": tv,
                        "start_time_et": start_time_et,
                        "sport_id": 1,
                    }
                )

    return pd.DataFrame(rows)


def fetch_schedule_for_date(date_str: str) -> pd.DataFrame:
    try:
        mlb_df = _fetch_mlb_schedule_for_date(date_str)
        if mlb_df is not None and not mlb_df.empty:
            return mlb_df
    except Exception as e:
        logger.warning(f"[schedule_fetch] failure: {e}", exc_info=True)
    return pd.DataFrame()