"""
Provider-agnostic Tool Registry for Lyra.

This module provides a central registry for all available tools with
Lyra-native definitions (not provider-specific).
"""

import os
from typing import Dict, List, Optional
from .executors import execute_code, search_web, search_notes, create_note


class ToolRegistry:
    """Registry for managing available tools and their definitions.

    Tools are defined in Lyra's own format (provider-agnostic), and
    adapters convert them to provider-specific formats (OpenAI function
    calling, Ollama XML prompts, etc.).
    """

    def __init__(self):
        """Initialize the tool registry with feature flags from environment."""
        self.tools = {}
        self.executors = {}

        # Feature flags from environment
        self.code_execution_enabled = os.getenv("ENABLE_CODE_EXECUTION", "true").lower() == "true"
        self.web_search_enabled = os.getenv("ENABLE_WEB_SEARCH", "true").lower() == "true"
        self.trillium_enabled = os.getenv("ENABLE_TRILLIUM", "false").lower() == "true"

        self._register_tools()
        self._register_executors()

    def _register_executors(self):
        """Register executor functions for each tool."""
        if self.code_execution_enabled:
            self.executors["execute_code"] = execute_code

        if self.web_search_enabled:
            self.executors["search_web"] = search_web

        if self.trillium_enabled:
            self.executors["search_notes"] = search_notes
            self.executors["create_note"] = create_note

    def _register_tools(self):
        """Register all available tools based on feature flags."""

        if self.code_execution_enabled:
            self.tools["execute_code"] = {
                "name": "execute_code",
                "description": "Execute Python or bash code in a secure sandbox environment. Use this to perform calculations, data processing, file operations, or any programmatic tasks. The sandbox is persistent across calls within a session and has common Python packages (numpy, pandas, requests, matplotlib, scipy) pre-installed.",
                "parameters": {
                    "language": {
                        "type": "string",
                        "enum": ["python", "bash"],
                        "description": "The programming language to execute (python or bash)"
                    },
                    "code": {
                        "type": "string",
                        "description": "The code to execute. For multi-line code, use proper indentation. For Python, use standard Python 3.11 syntax."
                    },
                    "reason": {
                        "type": "string",
                        "description": "Brief explanation of why you're executing this code and what you expect to achieve"
                    }
                },
                "required": ["language", "code", "reason"]
            }

        if self.web_search_enabled:
            self.tools["search_web"] = {
                "name": "search_web",
                "description": "Search the internet using DuckDuckGo to find current information, facts, news, or answers to questions. Returns a list of search results with titles, snippets, and URLs. Use this when you need up-to-date information or facts not in your training data.",
                "parameters": {
                    "query": {
                        "type": "string",
                        "description": "The search query to look up on the internet"
                    },
                    "max_results": {
                        "type": "integer",
                        "description": "Maximum number of results to return (default: 5, max: 10)"
                    }
                },
                "required": ["query"]
            }

        if self.trillium_enabled:
            self.tools["search_notes"] = {
                "name": "search_notes",
                "description": "Search through Trillium notes to find relevant information. Use this to retrieve knowledge, context, or information previously stored in the user's notes.",
                "parameters": {
                    "query": {
                        "type": "string",
                        "description": "The search query to find matching notes"
                    },
                    "limit": {
                        "type": "integer",
                        "description": "Maximum number of notes to return (default: 5, max: 20)"
                    }
                },
                "required": ["query"]
            }

            self.tools["create_note"] = {
                "name": "create_note",
                "description": "Create a new note in Trillium. Use this to store important information, insights, or knowledge for future reference. Notes are stored in the user's Trillium knowledge base.",
                "parameters": {
                    "title": {
                        "type": "string",
                        "description": "The title of the note"
                    },
                    "content": {
                        "type": "string",
                        "description": "The content of the note in markdown or HTML format"
                    },
                    "parent_note_id": {
                        "type": "string",
                        "description": "Optional ID of the parent note to nest this note under"
                    }
                },
                "required": ["title", "content"]
            }

    def get_tool_definitions(self) -> Optional[List[Dict]]:
        """Get list of all enabled tool definitions in Lyra format.

        Returns:
            list: List of tool definition dicts, or None if no tools enabled
        """
        if not self.tools:
            return None
        return list(self.tools.values())

    def get_tool_names(self) -> List[str]:
        """Get list of all enabled tool names.

        Returns:
            list: List of tool name strings
        """
        return list(self.tools.keys())

    def is_tool_enabled(self, tool_name: str) -> bool:
        """Check if a specific tool is enabled.

        Args:
            tool_name: Name of the tool to check

        Returns:
            bool: True if tool is enabled, False otherwise
        """
        return tool_name in self.tools

    def register_executor(self, tool_name: str, executor_func):
        """Register an executor function for a tool.

        Args:
            tool_name: Name of the tool
            executor_func: Async function that executes the tool
        """
        self.executors[tool_name] = executor_func

    async def execute_tool(self, name: str, arguments: dict) -> dict:
        """Execute a tool by name.

        Args:
            name: Tool name
            arguments: Tool arguments dict

        Returns:
            dict: Tool execution result
        """
        if name not in self.executors:
            return {"error": f"Unknown tool: {name}"}

        executor = self.executors[name]
        try:
            return await executor(arguments)
        except Exception as e:
            return {"error": f"Tool execution failed: {str(e)}"}


# Global registry instance (singleton pattern)
_registry = None


def get_registry() -> ToolRegistry:
    """Get the global ToolRegistry instance.

    Returns:
        ToolRegistry: The global registry instance
    """
    global _registry
    if _registry is None:
        _registry = ToolRegistry()
    return _registry