"""Claude API client with streaming support for Discord."""
import asyncio
from datetime import datetime
from typing import Callable, Optional, Any

import discord
from anthropic import AsyncAnthropic
from anthropic.types import MessageStreamEvent

from bot.config import settings
from bot.claude.tools import TOOLS, SYSTEM_PROMPT_TEMPLATE


class ClaudeClient:
    """Wrapper around Anthropic SDK for Discord bot usage."""

    def __init__(self):
        self.client = AsyncAnthropic(api_key=settings.anthropic_api_key)
        self.model = settings.claude_model

    def format_system_prompt(
        self,
        discord_user: discord.User,
        channel_name: str,
        thread_name: str,
        user_role: str = "unknown"
    ) -> str:
        """Format system prompt with current context."""
        return SYSTEM_PROMPT_TEMPLATE.format(
            discord_username=discord_user.name,
            discord_id=discord_user.id,
            role=user_role,
            channel_name=channel_name,
            thread_name=thread_name,
            datetime_utc=datetime.utcnow().isoformat()
        )

    async def stream_response(
        self,
        messages: list[dict],
        system_prompt: str,
        tool_executor: Optional[Callable] = None,
        progress_callback: Optional[Callable] = None
    ) -> tuple[str, list[dict]]:
        """
        Stream a response from Claude, executing tools as needed.

        Args:
            messages: Conversation history
            system_prompt: System prompt with context
            tool_executor: Async function to execute tool calls
            progress_callback: Async function to call with progress updates

        Returns:
            Tuple of (final_response_text, tool_results)
        """
        final_text = ""
        tool_results = []

        async with self.client.messages.stream(
            model=self.model,
            max_tokens=4096,
            system=system_prompt,
            messages=messages,
            tools=TOOLS
        ) as stream:
            async for event in stream:
                if event.type == "content_block_start":
                    if event.content_block.type == "tool_use":
                        # Tool call starting
                        tool_name = event.content_block.name
                        if progress_callback:
                            await progress_callback(f"🔧 Calling {tool_name}...")

                elif event.type == "content_block_delta":
                    if hasattr(event.delta, "text"):
                        # Text content streaming
                        final_text += event.delta.text
                        if progress_callback and len(final_text) % 500 == 0:
                            # Send progress update every 500 chars
                            await progress_callback(final_text)

                elif event.type == "message_stop":
                    # Check for tool uses
                    message = await stream.get_final_message()

                    for block in message.content:
                        if block.type == "tool_use":
                            # Execute tool
                            tool_name = block.name
                            tool_input = block.input

                            if tool_executor:
                                try:
                                    if progress_callback:
                                        await progress_callback(
                                            f"⚙️ Executing {tool_name}..."
                                        )

                                    result = await tool_executor(tool_name, tool_input)
                                    tool_results.append({
                                        "name": tool_name,
                                        "input": tool_input,
                                        "result": result
                                    })

                                    if progress_callback:
                                        await progress_callback(
                                            f"✅ {tool_name} complete"
                                        )

                                except Exception as e:
                                    error_msg = f"Error in {tool_name}: {str(e)}"
                                    tool_results.append({
                                        "name": tool_name,
                                        "input": tool_input,
                                        "error": error_msg
                                    })

                                    if progress_callback:
                                        await progress_callback(f"❌ {error_msg}")

                        elif block.type == "text":
                            final_text += block.text

        return final_text, tool_results

    async def simple_ask(
        self,
        user_message: str,
        conversation_history: list[dict],
        system_prompt: str
    ) -> str:
        """
        Simple non-streaming request without tools.
        Useful for summarization and simple queries.
        """
        messages = conversation_history + [
            {"role": "user", "content": user_message}
        ]

        response = await self.client.messages.create(
            model=self.model,
            max_tokens=4096,
            system=system_prompt,
            messages=messages
        )

        return response.content[0].text if response.content else ""