# Copyright (c) 2024-2026 Tencent Zhuque Lab. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Requirement: Any integration or derivative work must explicitly attribute
# Tencent Zhuque Lab (https://github.com/Tencent/AI-Infra-Guard) in its
# documentation or user interface, as detailed in the NOTICE file.

import inspect
import re
from collections.abc import Callable
from functools import wraps
from inspect import signature
from pathlib import Path
from typing import Any

from mcp_scan.utils.loging import logger

tools: list[dict[str, Any]] = []
_tools_by_name: dict[str, Callable[..., Any]] = {}


def _load_xml_schema(path: Path) -> dict[str, str]:
    if not path.exists():
        return {}
    try:
        content = path.read_text()
        # Simplified parsing using regex
        tools_dict = {}
        tool_pattern = r'<tool name="([^"]+)">.*?</tool>'
        matches = re.finditer(tool_pattern, content, re.DOTALL)
        for match in matches:
            tools_dict[match.group(1)] = match.group(0)
        return tools_dict
    except Exception as e:
        logger.warning(f"Error loading schema file {path}: {e}")
        return {}


def _get_module_name(func: Callable[..., Any]) -> str:
    module = inspect.getmodule(func)
    if not module:
        return "unknown"

    module_name = module.__name__
    if ".tools." in module_name:
        parts = module_name.split(".tools.")[-1].split(".")
        if len(parts) >= 1:
            return parts[0]
    return "unknown"


def register_tool(
    func: Callable[..., Any] | None = None, *, sandbox_execution: bool = True
) -> Callable[..., Any]:
    def decorator(f: Callable[..., Any]) -> Callable[..., Any]:
        func_dict = {
            "name": f.__name__,
            "function": f,
            "module": _get_module_name(f),
            "sandbox_execution": sandbox_execution,
        }

        try:
            module_path = Path(inspect.getfile(f))
            schema_file_name = f"{module_path.stem}_schema.xml"
            schema_path = module_path.parent / schema_file_name

            xml_tools = _load_xml_schema(schema_path)

            if xml_tools is not None and f.__name__ in xml_tools:
                func_dict["xml_schema"] = xml_tools[f.__name__]
            else:
                func_dict["xml_schema"] = (
                    f'<tool name="{f.__name__}">'
                    "<description>Schema not found for tool.</description>"
                    "</tool>"
                )
        except (TypeError, FileNotFoundError) as e:
            logger.warning(f"Error loading schema for {f.__name__}: {e}")
            func_dict["xml_schema"] = (
                f'<tool name="{f.__name__}"><description>Error loading schema.</description></tool>'
            )

        tools.append(func_dict)
        _tools_by_name[str(func_dict["name"])] = f

        @wraps(f)
        def wrapper(*args: Any, **kwargs: Any) -> Any:
            return f(*args, **kwargs)

        return wrapper

    if func is None:
        return decorator
    return decorator(func)


def get_tool_by_name(name: str) -> Callable[..., Any] | None:
    # Try exact match first
    tool = _tools_by_name.get(name)
    if tool is not None:
        return tool
    # Fallback: case-insensitive lookup (LLMs may capitalize tool names)
    name_lower = name.lower()
    for key, func in _tools_by_name.items():
        if key.lower() == name_lower:
            return func
    return None


def get_tool_names() -> list[str]:
    return list(_tools_by_name.keys())


def needs_agent_state(tool_name: str) -> bool:
    tool_func = get_tool_by_name(tool_name)
    if not tool_func:
        return False
    sig = signature(tool_func)
    return "agent_state" in sig.parameters


def needs_context(tool_name: str) -> bool:
    """检查工具是否需要上下文（context）参数"""
    tool_func = get_tool_by_name(tool_name)
    if not tool_func:
        return False
    sig = signature(tool_func)
    return "context" in sig.parameters


def should_execute_in_sandbox(tool_name: str) -> bool:
    tool_name_lower = tool_name.lower()
    for tool in tools:
        if tool.get("name", "").lower() == tool_name_lower:
            return bool(tool.get("sandbox_execution", True))
    return True


def get_tools_prompt(tool_list: list = []) -> str:
    selected_tools = []
    if len(tool_list) != 0:
        for tool in tools:
            name = tool.get("name")
            if name in tool_list:
                selected_tools.append(tool)
    else:
        selected_tools = tools

    tools_by_module: dict[str, list[dict[str, Any]]] = {}

    for tool in selected_tools:
        module = tool.get("module", "unknown")
        if module not in tools_by_module:
            tools_by_module[module] = []
        tools_by_module[module].append(tool)

    xml_sections = []
    for module, module_tools in sorted(tools_by_module.items()):
        tag_name = "tools"
        section_parts = [f"<{tag_name}>"]
        for tool in module_tools:
            tool_xml = tool.get("xml_schema", "")
            if tool_xml:
                indented_tool = "\n".join(f"  {line}" for line in tool_xml.split("\n"))
                section_parts.append(indented_tool)
        section_parts.append(f"</{tag_name}>")
        xml_sections.append("\n".join(section_parts))

    return "\n\n".join(xml_sections)


def clear_registry() -> None:
    tools.clear()
    _tools_by_name.clear()