"""
Member interest worker — tracks public interest in members of Congress.

Fetches news articles and calculates trend scores for members using the
same composite scoring model as bills (NewsAPI + Google News RSS + pytrends).
Runs on a schedule and can also be triggered per-member.
"""
import logging
from datetime import date, datetime, timedelta, timezone

from app.database import get_sync_db
from app.models import Member, MemberNewsArticle, MemberTrendScore
from app.services import news_service, trends_service
from app.workers.celery_app import celery_app
from app.workers.trend_scorer import calculate_composite_score

logger = logging.getLogger(__name__)


def _parse_pub_at(raw: str | None) -> datetime | None:
    if not raw:
        return None
    try:
        return datetime.fromisoformat(raw.replace("Z", "+00:00"))
    except Exception:
        return None


@celery_app.task(bind=True, max_retries=2, name="app.workers.member_interest.fetch_member_news")
def fetch_member_news(self, bioguide_id: str):
    """Fetch and store recent news articles for a specific member."""
    db = get_sync_db()
    try:
        member = db.get(Member, bioguide_id)
        if not member or not member.first_name or not member.last_name:
            return {"status": "skipped"}

        query = news_service.build_member_query(
            first_name=member.first_name,
            last_name=member.last_name,
            chamber=member.chamber,
        )

        newsapi_articles = news_service.fetch_newsapi_articles(query, days=30)
        gnews_articles = news_service.fetch_gnews_articles(query, days=30)
        all_articles = newsapi_articles + gnews_articles

        saved = 0
        for article in all_articles:
            url = article.get("url")
            if not url:
                continue
            existing = (
                db.query(MemberNewsArticle)
                .filter_by(member_id=bioguide_id, url=url)
                .first()
            )
            if existing:
                continue
            db.add(MemberNewsArticle(
                member_id=bioguide_id,
                source=article.get("source", "")[:200],
                headline=article.get("headline", ""),
                url=url,
                published_at=_parse_pub_at(article.get("published_at")),
                relevance_score=1.0,
            ))
            saved += 1

        db.commit()
        logger.info(f"Saved {saved} news articles for member {bioguide_id}")
        return {"status": "ok", "saved": saved}

    except Exception as exc:
        db.rollback()
        logger.error(f"Member news fetch failed for {bioguide_id}: {exc}")
        raise self.retry(exc=exc, countdown=300)
    finally:
        db.close()


@celery_app.task(bind=True, name="app.workers.member_interest.calculate_member_trend_score")
def calculate_member_trend_score(self, bioguide_id: str):
    """Calculate and store today's public interest score for a member."""
    db = get_sync_db()
    try:
        member = db.get(Member, bioguide_id)
        if not member or not member.first_name or not member.last_name:
            return {"status": "skipped"}

        today = date.today()
        existing = (
            db.query(MemberTrendScore)
            .filter_by(member_id=bioguide_id, score_date=today)
            .first()
        )
        if existing:
            return {"status": "already_scored"}

        query = news_service.build_member_query(
            first_name=member.first_name,
            last_name=member.last_name,
            chamber=member.chamber,
        )
        keywords = trends_service.keywords_for_member(member.first_name, member.last_name)

        newsapi_articles = news_service.fetch_newsapi_articles(query, days=30)
        newsapi_count = len(newsapi_articles)
        gnews_count = news_service.fetch_gnews_count(query, days=30)
        gtrends_score = trends_service.get_trends_score(keywords)

        composite = calculate_composite_score(newsapi_count, gnews_count, gtrends_score)

        db.add(MemberTrendScore(
            member_id=bioguide_id,
            score_date=today,
            newsapi_count=newsapi_count,
            gnews_count=gnews_count,
            gtrends_score=gtrends_score,
            composite_score=composite,
        ))
        db.commit()
        logger.info(f"Scored member {bioguide_id}: composite={composite:.1f}")
        return {"status": "ok", "composite": composite}

    except Exception as exc:
        db.rollback()
        logger.error(f"Member trend scoring failed for {bioguide_id}: {exc}")
        raise
    finally:
        db.close()


@celery_app.task(bind=True, name="app.workers.member_interest.fetch_news_for_active_members")
def fetch_news_for_active_members(self):
    """
    Scheduled task: fetch news for members who have been viewed or followed.
    Prioritises members with detail_fetched set (profile has been viewed).
    """
    db = get_sync_db()
    try:
        members = (
            db.query(Member)
            .filter(Member.detail_fetched.isnot(None))
            .filter(Member.first_name.isnot(None))
            .all()
        )
        for member in members:
            fetch_member_news.delay(member.bioguide_id)

        logger.info(f"Queued news fetch for {len(members)} members")
        return {"queued": len(members)}
    finally:
        db.close()


@celery_app.task(bind=True, name="app.workers.member_interest.calculate_all_member_trend_scores")
def calculate_all_member_trend_scores(self):
    """
    Scheduled nightly task: score all members that have been viewed.
    Members are scored only after their profile has been loaded at least once.
    """
    db = get_sync_db()
    try:
        members = (
            db.query(Member)
            .filter(Member.detail_fetched.isnot(None))
            .filter(Member.first_name.isnot(None))
            .all()
        )
        for member in members:
            calculate_member_trend_score.delay(member.bioguide_id)

        logger.info(f"Queued trend scoring for {len(members)} members")
        return {"queued": len(members)}
    finally:
        db.close()