"""
News Intelligence Cache — Local JSON-based cache with URL dedup and TTL eviction.
Stores processed news items to avoid re-analyzing the same headlines.
"""
import hashlib
import json
import logging
import time
from pathlib import Path
from threading import Lock

logger = logging.getLogger(__name__)

CACHE_PATH = Path(__file__).parent.parent.parent / "data" / "news_cache.json"
MAX_ITEMS = 500
TTL_SECONDS = 24 * 60 * 60  # 24 hours


class NewsCache:
    """Thread-safe local JSON cache for processed news intelligence."""

    def __init__(self, path: Path = CACHE_PATH):
        self._path = path
        self._lock = Lock()
        self._data: dict = self._load()

    def _load(self) -> dict:
        if self._path.exists():
            try:
                with open(self._path, "r", encoding="utf-8") as f:
                    return json.load(f)
            except (json.JSONDecodeError, IOError):
                logger.warning("Corrupted cache file, starting fresh")
        return {"items": {}, "last_refresh": None}

    def _save(self):
        self._path.parent.mkdir(parents=True, exist_ok=True)
        with open(self._path, "w", encoding="utf-8") as f:
            json.dump(self._data, f, indent=2, ensure_ascii=False)

    @staticmethod
    def _url_hash(url: str) -> str:
        return hashlib.sha256(url.encode()).hexdigest()[:16]

    def has(self, url: str) -> bool:
        """Check if a URL has already been processed."""
        h = self._url_hash(url)
        with self._lock:
            if h not in self._data["items"]:
                return False
            item = self._data["items"][h]
            # Check TTL
            if time.time() - item.get("cached_at", 0) > TTL_SECONDS:
                del self._data["items"][h]
                return False
            return True

    def get(self, url: str) -> dict | None:
        """Get a cached item by URL."""
        h = self._url_hash(url)
        with self._lock:
            return self._data["items"].get(h)

    def put(self, url: str, item: dict):
        """Store a processed news item."""
        h = self._url_hash(url)
        with self._lock:
            item["cached_at"] = time.time()
            item["url_hash"] = h
            self._data["items"][h] = item
            self._evict()
            self._save()

    def put_batch(self, items: list[dict]):
        """Store multiple items at once (single write)."""
        with self._lock:
            now = time.time()
            for item in items:
                url = item.get("url", "")
                h = self._url_hash(url)
                item["cached_at"] = now
                item["url_hash"] = h
                self._data["items"][h] = item
            self._evict()
            self._data["last_refresh"] = now
            self._save()

    def get_all(self, concern_level: str | None = None) -> list[dict]:
        """Get all cached items, optionally filtered by concern level."""
        with self._lock:
            now = time.time()
            items = []
            for item in self._data["items"].values():
                if now - item.get("cached_at", 0) > TTL_SECONDS:
                    continue
                if concern_level and item.get("concern_level") != concern_level:
                    continue
                items.append(item)
            # Sort by published time (newest first)
            items.sort(key=lambda x: x.get("published", ""), reverse=True)
            return items

    def get_stats(self) -> dict:
        """Get summary counts per concern level."""
        all_items = self.get_all()
        counts = {"total": len(all_items), "high": 0, "medium": 0, "low": 0}
        for item in all_items:
            level = item.get("concern_level", "low")
            counts[level] = counts.get(level, 0) + 1
        counts["last_refresh"] = self._data.get("last_refresh")
        return counts

    def _evict(self):
        """Remove oldest items if cache exceeds MAX_ITEMS."""
        items = self._data["items"]
        if len(items) <= MAX_ITEMS:
            return
        sorted_keys = sorted(items.keys(), key=lambda k: items[k].get("cached_at", 0))
        to_remove = len(items) - MAX_ITEMS
        for key in sorted_keys[:to_remove]:
            del items[key]

    def clear(self):
        """Clear all cached items."""
        with self._lock:
            self._data = {"items": {}, "last_refresh": None}
            self._save()