import csv
import logging
import re
from collections import defaultdict
from datetime import datetime, timedelta

from django.contrib.auth import get_user_model

from birds.models import Bird, BirdSightingEntry, BirdSightingLogData, BirdingLocation
from scrobbles.models import Scrobble

logger = logging.getLogger(__name__)
User = get_user_model()

LOCATION_COORDS_RE = re.compile(r"\(([\d\.\-]+),\s*([\d\.\-]+)\)")
DURATION_RE = re.compile(r"(\d+)\s*minute")


def parse_duration(duration_str):
    if not duration_str:
        return None
    match = DURATION_RE.search(duration_str)
    if match:
        return int(match.group(1))
    return None


def parse_coords(location_str):
    match = LOCATION_COORDS_RE.search(location_str)
    if match:
        return float(match.group(1)), float(match.group(2))
    return None, None


def parse_timestamp(date_str, time_str):
    try:
        dt = datetime.strptime(f"{date_str} {time_str}", "%B %d, %Y %I:%M %p")
        return dt
    except (ValueError, TypeError):
        try:
            dt = datetime.strptime(date_str, "%B %d, %Y")
            return dt
        except (ValueError, TypeError):
            logger.warning(f"Could not parse date/time: {date_str} {time_str}")
            return None


def parse_bool(value):
    if not value:
        return None
    return value.strip().lower() in ("true", "yes", "1")


def parse_int(value):
    if not value:
        return None
    try:
        return int(value.strip())
    except (ValueError, TypeError):
        return None


def import_birding_csv(file_path, user_id):
    user = User.objects.get(id=user_id)
    new_scrobbles = []

    with open(file_path, newline="", encoding="utf-8-sig") as f:
        reader = csv.DictReader(f)
        rows = list(reader)

    groups = defaultdict(list)
    for row in rows:
        key = (
            row.get("Location", "").strip(),
            row.get("Observation Date", "").strip(),
            row.get("Start Time", "").strip(),
        )
        groups[key].append(row)

    for (location_str, date_str, time_str), sighting_rows in groups.items():
        if not location_str:
            logger.warning("Skipping rows with no location")
            continue

        timestamp = parse_timestamp(date_str, time_str)
        if not timestamp:
            continue

        timestamp = user.profile.get_timestamp_with_tz(timestamp)

        location_title = (
            LOCATION_COORDS_RE.sub("", location_str).strip().rstrip(",").strip()
        )
        if not location_title:
            location_title = location_str

        location = BirdingLocation.find_or_create(location_title)
        lat, lon = parse_coords(location_str)
        if lat and lon and not location.geo_location:
            from locations.models import GeoLocation

            geo, _ = GeoLocation.objects.get_or_create(
                lat=round(lat, 6),
                lon=round(lon, 6),
                defaults={"altitude": None},
            )
            location.geo_location = geo
            location.save(update_fields=["geo_location"])

        first_row = sighting_rows[0]

        birds_data = []
        for row in sighting_rows:
            species = row.get("Species", "").strip()
            if not species:
                continue
            count = parse_int(row.get("Count")) or 1
            details = row.get("Details", "").strip()

            bird = Bird.find_or_create(species)
            entry = BirdSightingEntry(
                bird_id=bird.id, quantity=count, sighting_notes=details or None
            )
            birds_data.append(entry.asdict)

        duration_minutes = parse_duration(first_row.get("Duration", ""))
        logdata = BirdSightingLogData(
            birds=birds_data,
            duration_minutes=duration_minutes,
            observation_type=first_row.get("Observation Type", "").strip() or None,
            distance=first_row.get("Distance", "").strip() or None,
            area=first_row.get("Area", "").strip() or None,
            party_size=parse_int(first_row.get("Party Size")),
            complete_checklist=parse_bool(first_row.get("Complete Checklist")),
        )

        log_dict = logdata.asdict

        weather_loc = location.geo_location
        if not weather_loc:
            last_loc = (
                Scrobble.objects.filter(
                    user=user,
                    media_type=Scrobble.MediaType.GEO_LOCATION,
                    geo_location__isnull=False,
                )
                .order_by("-timestamp")
                .first()
            )
            if last_loc:
                weather_loc = last_loc.geo_location
        if weather_loc:
            weather = weather_loc.current_weather
            if weather:
                log_dict["weather"] = weather["description"]
                log_dict["temperature"] = weather["temp"]

        stop_timestamp = timestamp + timedelta(minutes=duration_minutes) if duration_minutes else None

        tz = getattr(timestamp.tzinfo, "name", None)

        scrobble = Scrobble(
            user=user,
            timestamp=timestamp,
            timezone=tz,
            stop_timestamp=stop_timestamp,
            source="Birding CSV Import",
            birding_location=location,
            log=log_dict,
            played_to_completion=True,
            in_progress=False,
            media_type=Scrobble.MediaType.BIRDING_LOCATION,
        )
        existing = Scrobble.objects.filter(
            timestamp=timestamp,
            birding_location=location,
            user=user,
        ).first()
        if existing:
            logger.debug(f"Skipping existing scrobble for {location}")
            continue
        new_scrobbles.append(scrobble)

    created = Scrobble.objects.bulk_create(new_scrobbles)
    logger.info(f"Created {len(created)} birding scrobbles")
    return created