#!/usr/bin/env python3
"""
Cloud Runtime System — Central Orchestration Layer

Implements the cloud architecture from the diagram:
- Agent Runtime: Central execution environment
- Session State: Session management and persistence
- File System: Unified storage interface
- MCP Integration: Model Context Protocol orchestration
- Tools: Unified tool registry and execution

This ties together existing infrastructure components into a coherent cloud system.
"""

import asyncio
import json
import sqlite3
import time
import uuid
import hashlib
from pathlib import Path
from typing import Dict, List, Optional, Any, Callable
from dataclasses import dataclass, field, asdict
from datetime import datetime, timedelta
from enum import Enum
import subprocess
import sys

# Add paths to existing infrastructure
ROOT = Path(__file__).parent.parent.parent
sys.path.insert(0, str(ROOT / "4-Infrastructure" / "infra"))
sys.path.insert(0, str(ROOT / "5-Applications" / "scripts"))


class SessionState(Enum):
    """Session lifecycle states."""
    INITIALIZING = "initializing"
    ACTIVE = "active"
    SUSPENDED = "suspended"
    COMPLETED = "completed"
    FAILED = "failed"


@dataclass
class Session:
    """Cloud session representation."""
    session_id: str
    created_at: float
    updated_at: float
    state: SessionState
    workspace: str
    agent_id: Optional[str] = None
    context: Dict[str, Any] = field(default_factory=dict)
    file_system_state: Dict[str, Any] = field(default_factory=dict)
    mcp_connections: Dict[str, bool] = field(default_factory=dict)
    tool_registry: List[str] = field(default_factory=list)


@dataclass
class AgentRuntime:
    """Agent runtime configuration and state."""
    runtime_id: str
    agent_type: str
    model: str
    capabilities: List[str]
    status: str = "idle"
    current_session: Optional[str] = None
    metrics: Dict[str, Any] = field(default_factory=dict)


class CloudFileSystem:
    """
    Unified file system interface for cloud runtime.

    Provides consistent file operations across local storage,
    cloud storage, and MCP-mounted file systems.
    """

    def __init__(self, base_path: str = "/home/allaun/Documents/Research Stack"):
        self.base_path = Path(base_path)
        self.shared_data = self.base_path / "shared-data"
        self.mount_points: Dict[str, Path] = {}

    def register_mount(self, name: str, path: str):
        """Register a file system mount point."""
        self.mount_points[name] = Path(path)

    def read_file(self, path: str, mount: str = "local") -> str:
        """Read file from specified mount."""
        if mount == "local":
            file_path = self.base_path / path
        elif mount in self.mount_points:
            file_path = self.mount_points[mount] / path
        else:
            raise ValueError(f"Unknown mount: {mount}")

        return file_path.read_text()

    def write_file(self, path: str, content: str, mount: str = "local"):
        """Write file to specified mount."""
        if mount == "local":
            file_path = self.base_path / path
        elif mount in self.mount_points:
            file_path = self.mount_points[mount] / path
        else:
            raise ValueError(f"Unknown mount: {mount}")

        file_path.parent.mkdir(parents=True, exist_ok=True)
        file_path.write_text(content)

    def list_files(self, path: str = "", mount: str = "local") -> List[str]:
        """List files in directory."""
        if mount == "local":
            dir_path = self.base_path / path
        elif mount in self.mount_points:
            dir_path = self.mount_points[mount] / path
        else:
            raise ValueError(f"Unknown mount: {mount}")

        if not dir_path.exists():
            return []

        return [f.name for f in dir_path.iterdir() if f.is_file()]


class MCPOrchestrator:
    """
    MCP (Model Context Protocol) orchestrator.

    Manages connections to multiple MCP servers and provides
    unified interface for tool execution across all servers.
    """

    def __init__(self):
        self.servers: Dict[str, Any] = {}
        self.server_status: Dict[str, bool] = {}
        self.tool_registry: Dict[str, Dict[str, Any]] = {}

    async def initialize_server(self, server_name: str, config: Dict[str, Any]):
        """Initialize an MCP server connection."""
        try:
            # This would connect to actual MCP servers
            # For now, we'll simulate the connection
            self.servers[server_name] = config
            self.server_status[server_name] = True
            print(f"[MCP] Initialized server: {server_name}")
            return True
        except Exception as e:
            print(f"[MCP] Failed to initialize {server_name}: {e}")
            self.server_status[server_name] = False
            return False

    async def call_tool(self, server_name: str, tool_name: str, arguments: Dict[str, Any]) -> Any:
        """Execute a tool on a specific MCP server."""
        if server_name not in self.servers or not self.server_status[server_name]:
            raise ValueError(f"Server {server_name} not available")

        # Simulate tool execution
        print(f"[MCP] Calling {tool_name} on {server_name} with args: {arguments}")
        return {"ok": True, "result": f"Executed {tool_name}"}

    def get_available_tools(self, server_name: str) -> List[str]:
        """Get available tools from a server."""
        if server_name not in self.servers:
            return []
        return ["tool1", "tool2", "tool3"]  # Placeholder


class ToolRegistry:
    """
    Unified tool registry.

    Manages all available tools from MCP servers, local scripts,
    and cloud functions in a single registry.
    """

    def __init__(self):
        self.tools: Dict[str, Dict[str, Any]] = {}
        self.categories: Dict[str, List[str]] = {
            "file": [],
            "mcp": [],
            "cloud": [],
            "local": []
        }

    def register_tool(self, tool_id: str, tool_def: Dict[str, Any], category: str = "local"):
        """Register a tool in the registry."""
        self.tools[tool_id] = tool_def
        if category not in self.categories:
            self.categories[category] = []
        self.categories[category].append(tool_id)

    def get_tool(self, tool_id: str) -> Optional[Dict[str, Any]]:
        """Get tool definition."""
        return self.tools.get(tool_id)

    def list_tools(self, category: Optional[str] = None) -> List[str]:
        """List tools by category."""
        if category:
            return self.categories.get(category, [])
        return list(self.tools.keys())

    def execute_tool(self, tool_id: str, arguments: Dict[str, Any]) -> Any:
        """Execute a tool by ID."""
        tool = self.get_tool(tool_id)
        if not tool:
            raise ValueError(f"Tool {tool_id} not found")

        # Execute based on tool type
        if tool.get("type") == "mcp":
            # Would call MCP orchestrator
            return {"ok": True, "result": f"Executed MCP tool {tool_id}"}
        elif tool.get("type") == "local":
            # Execute local script
            return self._execute_local_tool(tool, arguments)
        else:
            return {"ok": False, "error": f"Unknown tool type: {tool.get('type')}"}

    def _execute_local_tool(self, tool: Dict[str, Any], arguments: Dict[str, Any]) -> Any:
        """Execute a local tool script."""
        script_path = tool.get("path")
        if not script_path:
            return {"ok": False, "error": "No script path"}

        try:
            # Execute script
            result = subprocess.run(
                ["python3", script_path],
                capture_output=True,
                text=True,
                timeout=30
            )
            return {"ok": True, "output": result.stdout, "error": result.stderr}
        except Exception as e:
            return {"ok": False, "error": str(e)}


class CloudRuntime:
    """
    Central Cloud Runtime — Main Orchestrator

    Implements the complete cloud architecture from the diagram:
    - Manages sessions and their state
    - Coordinates agent runtimes
    - Orchestrates MCP connections
    - Provides unified tool interface
    - Manages file system operations
    """

    def __init__(self, db_path: str = "/home/allaun/Documents/Research Stack/shared-data/data/cloud_runtime.db"):
        self.db_path = db_path
        self.sessions: Dict[str, Session] = {}
        self.agent_runtimes: Dict[str, AgentRuntime] = {}
        self.file_system = CloudFileSystem()
        self.mcp_orchestrator = MCPOrchestrator()
        self.tool_registry = ToolRegistry()

        self._init_database()
        self._load_sessions()
        self._init_agent_runtimes()
        self._register_tools()

    def _init_database(self):
        """Initialize runtime database."""
        conn = sqlite3.connect(self.db_path)
        cursor = conn.cursor()

        cursor.execute("""
            CREATE TABLE IF NOT EXISTS sessions (
                session_id TEXT PRIMARY KEY,
                created_at REAL,
                updated_at REAL,
                state TEXT,
                workspace TEXT,
                agent_id TEXT,
                context TEXT,
                file_system_state TEXT,
                mcp_connections TEXT,
                tool_registry TEXT
            )
        """)

        cursor.execute("""
            CREATE TABLE IF NOT EXISTS agent_runtimes (
                runtime_id TEXT PRIMARY KEY,
                agent_type TEXT,
                model TEXT,
                capabilities TEXT,
                status TEXT,
                current_session TEXT,
                metrics TEXT
            )
        """)

        conn.commit()
        conn.close()

    def _load_sessions(self):
        """Load sessions from database."""
        conn = sqlite3.connect(self.db_path)
        cursor = conn.cursor()

        cursor.execute("SELECT * FROM sessions")
        for row in cursor.fetchall():
            session = Session(
                session_id=row[0],
                created_at=row[1],
                updated_at=row[2],
                state=SessionState(row[3]),
                workspace=row[4],
                agent_id=row[5],
                context=json.loads(row[6]) if row[6] else {},
                file_system_state=json.loads(row[7]) if row[7] else {},
                mcp_connections=json.loads(row[8]) if row[8] else {},
                tool_registry=json.loads(row[9]) if row[9] else []
            )
            self.sessions[session.session_id] = session

        conn.close()

    def _init_agent_runtimes(self):
        """Initialize default agent runtimes."""
        # Devin CLI agent
        self.agent_runtimes["devin-cli"] = AgentRuntime(
            runtime_id="devin-cli",
            agent_type="devin-cli",
            model="swe-1-6",
            capabilities=["code_editing", "file_operations", "terminal"],
            status="idle"
        )

        # Devin Cloud agent
        self.agent_runtimes["devin-cloud"] = AgentRuntime(
            runtime_id="devin-cloud",
            agent_type="devin-cloud",
            model="adaptive",
            capabilities=["cloud_execution", "mcp_tools", "session_management"],
            status="idle"
        )

    async def _init_mcp_servers(self):
        """Initialize MCP servers from configuration."""
        # Initialize known MCP servers
        mcp_configs = {
            "ene": {"type": "stdio", "command": "python3", "args": ["mcp_ene_atlas.py"]},
            "sovereign-research-stack": {"type": "stdio", "command": "python3", "args": ["mcp_server.py"]},
            "sqlite": {"type": "stdio", "command": "uvx", "args": ["mcp-server-sqlite"]},
        }

        for server_name, config in mcp_configs.items():
            await self.mcp_orchestrator.initialize_server(server_name, config)

    def _register_tools(self):
        """Register available tools from various sources."""
        # Register file system tools
        self.tool_registry.register_tool("fs.read", {
            "name": "Read File",
            "description": "Read file from file system",
            "type": "local",
            "parameters": {"path": "string", "mount": "string"}
        }, "file")

        self.tool_registry.register_tool("fs.write", {
            "name": "Write File",
            "description": "Write file to file system",
            "type": "local",
            "parameters": {"path": "string", "content": "string", "mount": "string"}
        }, "file")

        # Register MCP tools
        self.tool_registry.register_tool("mcp.ene.lookup", {
            "name": "ENE Atlas Lookup",
            "description": "Lookup memory atoms in ENE Atlas",
            "type": "mcp",
            "server": "ene"
        }, "mcp")

    async def create_session(self, workspace: str, agent_type: str = "devin-cli") -> str:
        """Create a new cloud session."""
        session_id = str(uuid.uuid4())
        now = time.time()

        session = Session(
            session_id=session_id,
            created_at=now,
            updated_at=now,
            state=SessionState.INITIALIZING,
            workspace=workspace,
            agent_id=agent_type
        )

        self.sessions[session_id] = session
        self._save_session(session)

        # Initialize session
        await self._initialize_session(session_id)

        return session_id

    async def _initialize_session(self, session_id: str):
        """Initialize a session with required resources."""
        session = self.sessions[session_id]

        # Set up MCP connections
        for server_name in self.mcp_orchestrator.servers:
            session.mcp_connections[server_name] = self.mcp_orchestrator.server_status[server_name]

        # Initialize file system state
        session.file_system_state = {
            "mounts": list(self.file_system.mount_points.keys()),
            "workspace_files": self.file_system.list_files(mount="local")
        }

        # Register available tools
        session.tool_registry = self.tool_registry.list_tools()

        # Update session state
        session.state = SessionState.ACTIVE
        session.updated_at = time.time()
        self._save_session(session)

    def _save_session(self, session: Session):
        """Save session to database."""
        conn = sqlite3.connect(self.db_path)
        cursor = conn.cursor()

        cursor.execute("""
            INSERT OR REPLACE INTO sessions
            (session_id, created_at, updated_at, state, workspace, agent_id,
             context, file_system_state, mcp_connections, tool_registry)
            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
        """, (
            session.session_id,
            session.created_at,
            session.updated_at,
            session.state.value,
            session.workspace,
            session.agent_id,
            json.dumps(session.context),
            json.dumps(session.file_system_state),
            json.dumps(session.mcp_connections),
            json.dumps(session.tool_registry)
        ))

        conn.commit()
        conn.close()

    async def execute_tool(self, session_id: str, tool_id: str, arguments: Dict[str, Any]) -> Any:
        """Execute a tool within a session."""
        if session_id not in self.sessions:
            raise ValueError(f"Session {session_id} not found")

        session = self.sessions[session_id]
        session.updated_at = time.time()

        # Execute tool
        result = self.tool_registry.execute_tool(tool_id, arguments)

        # Update session context
        session.context[f"last_tool_{tool_id}"] = {
            "executed_at": time.time(),
            "arguments": arguments,
            "result": result
        }

        self._save_session(session)
        return result

    def get_session_status(self, session_id: str) -> Dict[str, Any]:
        """Get session status and state."""
        if session_id not in self.sessions:
            raise ValueError(f"Session {session_id} not found")

        session = self.sessions[session_id]
        return {
            "session_id": session.session_id,
            "state": session.state.value,
            "workspace": session.workspace,
            "agent_id": session.agent_id,
            "created_at": session.created_at,
            "updated_at": session.updated_at,
            "mcp_connections": session.mcp_connections,
            "available_tools": len(session.tool_registry)
        }

    def get_runtime_status(self) -> Dict[str, Any]:
        """Get overall runtime status."""
        return {
            "sessions": {
                "total": len(self.sessions),
                "active": sum(1 for s in self.sessions.values() if s.state == SessionState.ACTIVE),
                "by_state": {state.value: sum(1 for s in self.sessions.values() if s.state == state)
                           for state in SessionState}
            },
            "agent_runtimes": {
                runtime_id: {
                    "type": runtime.agent_type,
                    "model": runtime.model,
                    "status": runtime.status,
                    "current_session": runtime.current_session
                }
                for runtime_id, runtime in self.agent_runtimes.items()
            },
            "mcp_servers": {
                "total": len(self.mcp_orchestrator.servers),
                "connected": sum(1 for s in self.mcp_orchestrator.server_status.values() if s),
                "status": self.mcp_orchestrator.server_status
            },
            "tools": {
                "total": len(self.tool_registry.tools),
                "by_category": {cat: len(tools) for cat, tools in self.tool_registry.categories.items()}
            },
            "file_system": {
                "base_path": str(self.file_system.base_path),
                "mounts": list(self.file_system.mount_points.keys())
            }
        }


async def main():
    """Main entry point for cloud runtime."""
    runtime = CloudRuntime()

    print("=== Cloud Runtime System ===")
    print("Initializing cloud infrastructure...")

    # Initialize MCP servers
    print("\nInitializing MCP servers...")
    await runtime._init_mcp_servers()

    # Create a test session
    print("\nCreating test session...")
    session_id = await runtime.create_session("/home/allaun/Documents/Research Stack", "devin-cli")
    print(f"Created session: {session_id}")

    # Get session status
    print("\nSession status:")
    status = runtime.get_session_status(session_id)
    print(json.dumps(status, indent=2))

    # Get runtime status
    print("\nRuntime status:")
    runtime_status = runtime.get_runtime_status()
    print(json.dumps(runtime_status, indent=2))

    print("\n=== Cloud Runtime Initialized Successfully ===")


if __name__ == "__main__":
    asyncio.run(main())