from __future__ import annotations

import json
import re
import uuid
from typing import Any, Dict, List

from .base import AgentProvider, AssistantTurn, ToolCall


class RuleBasedMeetingProvider(AgentProvider):
    """Offline provider for demos. It still uses the same tool-call loop as an LLM provider."""

    def generate(self, messages: List[Dict[str, Any]], tools: List[Dict[str, Any]]) -> AssistantTurn:
        last = messages[-1]
        if last.get("role") == "tool":
            return AssistantTurn(content=_summarize_tool_result(last.get("name", ""), last.get("content", "{}")))
        user_message = _last_user_message(messages)
        path = _extract_path(user_message)
        if _looks_like_import(user_message) and path:
            return AssistantTurn(
                tool_calls=[ToolCall(id=f"call_{uuid.uuid4().hex}", name="store_meeting_memory", arguments={"file_path": path})]
            )
        return AssistantTurn(
            tool_calls=[
                ToolCall(
                    id=f"call_{uuid.uuid4().hex}",
                    name="query_meeting_memory",
                    arguments={"query": user_message, "top_k": 5},
                )
            ]
        )


def _summarize_tool_result(tool_name: str, raw: str) -> str:
    try:
        data = json.loads(raw)
    except json.JSONDecodeError:
        return raw
    if tool_name == "store_meeting_memory":
        return (
            "已尝试写入会议长期记忆。\n"
            f"- stored: {data.get('stored')}\n"
            f"- archive: {data.get('archive_path')}\n"
            f"- graph_enabled: {data.get('graph_enabled')}"
        )
    if tool_name == "query_meeting_memory":
        return data.get("answer", json.dumps(data, ensure_ascii=False, indent=2))
    return json.dumps(data, ensure_ascii=False, indent=2)


def _last_user_message(messages: List[Dict[str, Any]]) -> str:
    for message in reversed(messages):
        if message.get("role") == "user":
            return str(message.get("content", ""))
    return ""


def _looks_like_import(text: str) -> bool:
    return any(word in text for word in ("导入", "读取", "保存", "记录", "归档", "import")) and bool(_extract_path(text))


def _extract_path(text: str) -> str:
    quoted = re.search(r"['\"]([^'\"]+\.(?:txt|md))['\"]", text)
    if quoted:
        return quoted.group(1)
    match = re.search(r"([A-Za-z]:\\[^\s，。；]+?\.(?:txt|md))", text)
    return match.group(1) if match else ""