news-mcp/news_mcp/sources/news_feeds.py

from __future__ import annotations

import hashlib
import logging
import re
from typing import Any, Dict, List

import feedparser

from news_mcp.config import NEWS_FEED_URL, NEWS_FEED_URLS


logger = logging.getLogger(__name__)


def _canonical_url(url: str) -> str:
    # Minimal canonicalization for v1.
    return url.strip()


def _strip_html(text: str) -> str:
    """Remove obvious HTML so downstream summaries stay readable."""
    text = re.sub(r"<script.*?</script>", "", text, flags=re.I | re.S)
    text = re.sub(r"<style.*?</style>", "", text, flags=re.I | re.S)
    text = re.sub(r"<[^>]+>", " ", text)
    text = re.sub(r"\s+", " ", text)
    return text.strip()


def _feed_urls() -> List[str]:
    urls = [u.strip() for u in NEWS_FEED_URLS.split(",") if u.strip()]
    if not urls:
        urls = [NEWS_FEED_URL]
    return urls


def fetch_news_articles(limit: int = 50) -> List[Dict[str, Any]]:
    feed_urls = _feed_urls()
    articles: List[Dict[str, Any]] = []

    logger.info("news ingestion start feeds=%s limit=%s", len(feed_urls), limit)

    # Evenly pull from feeds; keep total below `limit`.
    per_feed_limit = max(1, int(limit / max(1, len(feed_urls))))

    for feed_url in feed_urls:
        feed = feedparser.parse(feed_url)
        feed_name = getattr(feed.feed, "title", None) or feed_url
        parsed_entries = len(getattr(feed, "entries", []) or [])
        logger.info("news feed parsed feed_url=%s feed_name=%s entries=%s", feed_url, feed_name, parsed_entries)

        kept_before = len(articles)
        for entry in feed.entries[:per_feed_limit]:
            title = str(getattr(entry, "title", "")).strip()
            url = _canonical_url(str(getattr(entry, "link", "")).strip())
            timestamp = str(getattr(entry, "published", "")) or str(getattr(entry, "updated", ""))
            summary = _strip_html(str(getattr(entry, "summary", "")) or str(getattr(entry, "description", "")))

            if not title or not url:
                continue

            articles.append(
                {
                    "title": title,
                    "url": url,
                    "source": str(feed_name),
                    "feed_url": feed_url,
                    "timestamp": timestamp,
                    "summary": summary,
                }
            )

            if len(articles) >= limit:
                logger.info("news ingestion limit reached feed_url=%s total_kept=%s", feed_url, len(articles))
                return articles

        logger.info(
            "news feed completed feed_url=%s kept=%s",
            feed_url,
            len(articles) - kept_before,
        )

    logger.info("news ingestion complete total_kept=%s", len(articles))
    return articles


def normalize_topic_from_title(title: str) -> str:
    t = title.lower()
    if any(k in t for k in ["btc", "bitcoin", "eth", "ethereum", "crypto"]):
        return "crypto"
    if any(k in t for k in ["rate", "rates", "inflation", "fed", "treasury", "euro"]):
        return "macro"
    if any(k in t for k in ["regulation", "sec", "ban", "law"]):
        return "regulation"
    if any(k in t for k in ["ai", "llm", "model", "openai", "anthropic"]):
        return "ai"
    return "other"


def cluster_id_for_title(topic: str, title: str) -> str:
    key = f"{topic}|{title.strip().lower()}"
    return hashlib.sha1(key.encode("utf-8")).hexdigest()