"""
StickyNodeCache — M8.1: anti-flap sticky routing after soft-failover.

After a successful failover (primary → fallback), the bridge remembers the
fallback node per room:agent pair for `ttl_s` seconds.  Subsequent messages
for the same pair skip the primary entirely and go directly to the known-good
fallback, preventing oscillation ("flapping") while the primary recovers.

Key design
----------
  key  = "{room_id}:{agent_id}"
  ttl  = FAILOVER_STICKY_TTL_S (default 300 s)

Priority in routing (when source != explicit):
  1. sticky cache  (temporary)
  2. store override (desired long-term policy)
  3. env room_node_map
  4. env default

Sticky expires naturally; recovery is automatic — no operator action needed.
If the sticky node also fails, the entry is removed and normal failover logic
takes over again.

Thread safety
-------------
  Uses threading.RLock — safe to call from asyncio callbacks without to_thread.
"""
from __future__ import annotations

import logging
import threading
import time
from dataclasses import dataclass
from typing import Dict, List, Optional, Tuple

logger = logging.getLogger(__name__)

_DEFAULT_TTL_S = 300.0


@dataclass
class _StickyEntry:
    node_id: str
    expires_at: float   # time.monotonic() deadline


class StickyNodeCache:
    """
    In-memory sticky node preference cache.

    Usage:
        cache = StickyNodeCache(ttl_s=300)

        # After successful failover:
        cache.set("!room:srv:sofiia", "NODA2")

        # Before routing the next message:
        node = cache.get("!room:srv:sofiia")  # → "NODA2" or None if expired/missing

        # If sticky node also fails:
        cache.delete("!room:srv:sofiia")
    """

    def __init__(self, ttl_s: float = _DEFAULT_TTL_S) -> None:
        if ttl_s <= 0:
            raise ValueError(f"ttl_s must be > 0, got {ttl_s}")
        self._ttl_s = ttl_s
        self._cache: Dict[str, _StickyEntry] = {}
        self._lock = threading.RLock()

    # ── Public API ────────────────────────────────────────────────────────────

    def set(self, key: str, node_id: str, ttl_s: Optional[float] = None) -> None:
        """Set sticky preference; overwrites existing entry."""
        ttl = ttl_s if ttl_s is not None else self._ttl_s
        with self._lock:
            self._cache[key] = _StickyEntry(
                node_id=node_id,
                expires_at=time.monotonic() + ttl,
            )
            logger.debug("StickyCache.set: key=%s node=%s ttl=%.0fs", key, node_id, ttl)

    def get(self, key: str) -> Optional[str]:
        """
        Return sticky node_id if entry exists and not expired; else None.
        Expired entries are lazily removed on access.
        """
        with self._lock:
            entry = self._cache.get(key)
            if entry is None:
                return None
            if time.monotonic() >= entry.expires_at:
                del self._cache[key]
                logger.debug("StickyCache.expired: key=%s node=%s", key, entry.node_id)
                return None
            return entry.node_id

    def delete(self, key: str) -> bool:
        """Remove an entry. Returns True if it existed."""
        with self._lock:
            existed = key in self._cache
            self._cache.pop(key, None)
            if existed:
                logger.debug("StickyCache.delete: key=%s", key)
            return existed

    def active_count(self) -> int:
        """Count of non-expired entries (best-effort; no eviction)."""
        now = time.monotonic()
        with self._lock:
            return sum(1 for e in self._cache.values() if e.expires_at > now)

    def active_entries(self) -> List[Tuple[str, str, float]]:
        """
        Return (key, node_id, ttl_remaining_s) for all non-expired entries.
        Useful for ops visibility in !status/!nodes.
        """
        now = time.monotonic()
        with self._lock:
            result = []
            for k, e in self._cache.items():
                remaining = e.expires_at - now
                if remaining > 0:
                    result.append((k, e.node_id, remaining))
            return sorted(result, key=lambda x: x[0])

    def cleanup(self) -> int:
        """
        Remove all expired entries.
        Call periodically (e.g. in a background task) to reclaim memory.
        Returns count of removed entries.
        """
        now = time.monotonic()
        with self._lock:
            expired_keys = [k for k, e in self._cache.items() if e.expires_at <= now]
            for k in expired_keys:
                del self._cache[k]
            if expired_keys:
                logger.debug("StickyCache.cleanup: removed %d expired entries", len(expired_keys))
            return len(expired_keys)

    @property
    def ttl_s(self) -> float:
        return self._ttl_s


def make_sticky_key(room_id: str, agent_id: str) -> str:
    """Canonical sticky cache key for a room+agent pair."""
    return f"{room_id}:{agent_id}"