from __future__ import annotations
"""Context memory management for the agent."""

from dataclasses import dataclass, field
from datetime import datetime
from typing import Any


@dataclass
class MemoryEntry:
    """A single entry in memory."""

    key: str
    value: Any
    timestamp: datetime = field(default_factory=datetime.now)
    source: str = "unknown"
    relevance: float = 1.0


class ContextMemory:
    """Manages context and working memory for the agent."""

    def __init__(self, max_entries: int = 100):
        """Initialize memory.
        
        Args:
            max_entries: Maximum entries to keep
        """
        self.max_entries = max_entries
        self._short_term: dict[str, MemoryEntry] = {}
        self._working: dict[str, Any] = {}
        self._conversation: list[dict[str, str]] = []

    def store(self, key: str, value: Any, source: str = "agent") -> None:
        """Store a value in short-term memory.
        
        Args:
            key: Memory key
            value: Value to store
            source: Source of the information
        """
        self._short_term[key] = MemoryEntry(
            key=key,
            value=value,
            source=source,
        )

        # Trim if over capacity
        if len(self._short_term) > self.max_entries:
            self._trim_oldest()

    def retrieve(self, key: str) -> Any | None:
        """Retrieve a value from memory.
        
        Args:
            key: Memory key
            
        Returns:
            Stored value or None
        """
        entry = self._short_term.get(key)
        return entry.value if entry else None

    def update_working(self, key: str, value: Any) -> None:
        """Update working memory.
        
        Args:
            key: Memory key
            value: Value to store
        """
        self._working[key] = value

    def get_working(self, key: str, default: Any = None) -> Any:
        """Get from working memory.
        
        Args:
            key: Memory key
            default: Default value if not found
            
        Returns:
            Stored value or default
        """
        return self._working.get(key, default)

    def add_conversation_turn(self, role: str, content: str) -> None:
        """Add a turn to conversation history.
        
        Args:
            role: Message role (user/assistant)
            content: Message content
        """
        self._conversation.append({
            "role": role,
            "content": content,
            "timestamp": datetime.now().isoformat(),
        })

    def get_conversation_history(self, limit: int = 10) -> list[dict[str, str]]:
        """Get recent conversation history.
        
        Args:
            limit: Maximum turns to return
            
        Returns:
            List of conversation turns
        """
        return self._conversation[-limit:]

    def get_context_summary(self) -> dict[str, Any]:
        """Get a summary of current context.
        
        Returns:
            Dictionary with context summary
        """
        return {
            "short_term_keys": list(self._short_term.keys()),
            "working_memory_keys": list(self._working.keys()),
            "conversation_length": len(self._conversation),
        }

    def clear_working(self) -> None:
        """Clear working memory."""
        self._working.clear()

    def clear_all(self) -> None:
        """Clear all memory."""
        self._short_term.clear()
        self._working.clear()
        self._conversation.clear()

    def _trim_oldest(self) -> None:
        """Remove oldest entries to stay within capacity."""
        if not self._short_term:
            return

        # Sort by timestamp and remove oldest
        sorted_keys = sorted(
            self._short_term.keys(),
            key=lambda k: self._short_term[k].timestamp,
        )

        # Remove oldest 10%
        to_remove = max(1, len(sorted_keys) // 10)
        for key in sorted_keys[:to_remove]:
            del self._short_term[key]

    def search(self, query: str) -> list[MemoryEntry]:
        """Search memory for relevant entries.
        
        Args:
            query: Search query
            
        Returns:
            List of matching entries
        """
        query_lower = query.lower()
        results = []

        for entry in self._short_term.values():
            # Simple keyword matching
            value_str = str(entry.value).lower()
            if query_lower in value_str or query_lower in entry.key.lower():
                results.append(entry)

        # Sort by relevance (for now, just by timestamp)
        results.sort(key=lambda e: e.timestamp, reverse=True)

        return results