"""
Custom Agent Tools for Sugar

Provides custom tools that can be registered with the Claude Agent SDK
for Sugar-specific functionality.
"""

import json
import logging
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional

logger = logging.getLogger(__name__)


def tool(name: str, description: str, parameters: Dict[str, type]):
    """
    Decorator to mark a function as an agent tool.

    This is a simplified version for defining tools that can be
    registered with the Claude Agent SDK.

    Args:
        name: Tool name
        description: Tool description
        parameters: Dict of parameter names to types
    """

    def decorator(func):
        func._tool_name = name
        func._tool_description = description
        func._tool_parameters = parameters
        return func

    return decorator


@tool(
    "sugar_task_status",
    "Get the current status of Sugar's task queue and execution",
    {"include_history": bool},
)
async def sugar_task_status(args: Dict[str, Any]) -> Dict[str, Any]:
    """Get Sugar task queue status"""
    include_history = args.get("include_history", False)

    # This would integrate with Sugar's work queue
    status = {
        "queue_length": 0,  # Would be populated from work queue
        "active_tasks": 0,
        "completed_today": 0,
        "timestamp": datetime.now(timezone.utc).isoformat(),
    }

    if include_history:
        status["recent_tasks"] = []  # Would be populated from history

    return {
        "content": [
            {
                "type": "text",
                "text": json.dumps(status, indent=2),
            }
        ]
    }


@tool(
    "sugar_quality_gate_check",
    "Run quality gate checks on specified files",
    {"files": list, "check_type": str},
)
async def sugar_quality_gate_check(args: Dict[str, Any]) -> Dict[str, Any]:
    """Run quality gate checks"""
    files = args.get("files", [])
    check_type = args.get("check_type", "all")

    # This would integrate with Sugar's quality gates
    results = {
        "files_checked": len(files),
        "check_type": check_type,
        "passed": True,
        "issues": [],
        "timestamp": datetime.now(timezone.utc).isoformat(),
    }

    return {
        "content": [
            {
                "type": "text",
                "text": f"Quality gate check completed: {json.dumps(results, indent=2)}",
            }
        ]
    }


@tool(
    "sugar_learning_query",
    "Query Sugar's learning system for patterns and insights",
    {"query": str, "context": str},
)
async def sugar_learning_query(args: Dict[str, Any]) -> Dict[str, Any]:
    """Query the learning system"""
    query = args.get("query", "")
    context = args.get("context", "")

    # This would integrate with Sugar's learning module
    response = {
        "query": query,
        "relevant_patterns": [],
        "suggestions": [],
        "timestamp": datetime.now(timezone.utc).isoformat(),
    }

    return {
        "content": [
            {
                "type": "text",
                "text": f"Learning query results: {json.dumps(response, indent=2)}",
            }
        ]
    }


@tool(
    "spawn_subagent",
    "Spawn a single sub-agent to execute an isolated task with its own context",
    {"task_id": str, "prompt": str, "context": str, "timeout": int},
)
async def spawn_subagent(args: Dict[str, Any]) -> Dict[str, Any]:
    """
    Spawn a single sub-agent to execute a task.

    This creates an isolated agent instance that can work independently
    on a specific task and return summarized results.
    """
    task_id = args.get("task_id", "")
    prompt = args.get("prompt", "")
    context = args.get("context")
    timeout = args.get("timeout")

    if not task_id or not prompt:
        return {
            "content": [
                {
                    "type": "text",
                    "text": "Error: task_id and prompt are required",
                }
            ]
        }

    # This would integrate with SubAgentManager from the parent agent
    # For now, return a placeholder response
    result = {
        "task_id": task_id,
        "status": "pending",
        "message": "Sub-agent spawning is managed by SubAgentManager",
        "note": "Use SubAgentManager.spawn() in code for actual execution",
    }

    return {
        "content": [
            {
                "type": "text",
                "text": f"Sub-agent spawn requested: {json.dumps(result, indent=2)}",
            }
        ]
    }


@tool(
    "spawn_parallel_subagents",
    "Spawn multiple sub-agents to execute tasks in parallel with concurrency control",
    {"tasks": list, "timeout": int},
)
async def spawn_parallel_subagents(args: Dict[str, Any]) -> Dict[str, Any]:
    """
    Spawn multiple sub-agents to execute tasks in parallel.

    Tasks are executed concurrently up to the configured limit (default 3).
    Each task should have: task_id, prompt, and optionally context and timeout.
    """
    tasks = args.get("tasks", [])
    timeout = args.get("timeout")

    if not tasks:
        return {
            "content": [
                {
                    "type": "text",
                    "text": "Error: tasks list is required and must not be empty",
                }
            ]
        }

    # This would integrate with SubAgentManager from the parent agent
    # For now, return a placeholder response
    result = {
        "task_count": len(tasks),
        "status": "pending",
        "message": "Parallel sub-agent spawning is managed by SubAgentManager",
        "note": "Use SubAgentManager.spawn_parallel() in code for actual execution",
    }

    return {
        "content": [
            {
                "type": "text",
                "text": f"Parallel sub-agent spawn requested: {json.dumps(result, indent=2)}",
            }
        ]
    }


def get_sugar_tools() -> List[Dict[str, Any]]:
    """
    Get all Sugar-specific tools for registration with the Agent SDK.

    Returns:
        List of tool definitions
    """
    tools = [
        sugar_task_status,
        sugar_quality_gate_check,
        sugar_learning_query,
        spawn_subagent,
        spawn_parallel_subagents,
    ]

    return [
        {
            "name": getattr(t, "_tool_name", t.__name__),
            "description": getattr(t, "_tool_description", t.__doc__ or ""),
            "parameters": getattr(t, "_tool_parameters", {}),
            "function": t,
        }
        for t in tools
    ]
