from pyee import AsyncIOEventEmitter
from typing import Dict, Any, List, Optional
from promptrix.promptrixTypes import PromptFunctions, PromptMemory, Tokenizer, Message, RenderedPromptSection
from promptrix.PromptSectionBase import PromptSectionBase
from alphawave_agents.agentTypes import Command

class Command:
    def __init__(self, title: str, description: str, inputs: Optional[str] = None, output: Optional[str] = None):
        self.title = title
        self.description = description
        self.inputs = inputs
        self.output = output

class AgentCommandSection(AsyncIOEventEmitter):
    def __init__(self, commands: Dict[str, Command], tokens: int = -1, required: bool = True):
        super().__init__()
        self._commands = commands
        self.tokens = tokens
        self.required = required

    async def render_as_messages(self, memory: Any, functions: Any, tokenizer: Any, max_tokens: int) -> Dict[str, Any]:
        # Render commands to message content
        content = 'commands:\n'
        for command in self._commands.values():
            content += f'\t{command.title}:\n'
            content += f'\t\tuse: {command.description}\n'
            if command.inputs:
                content += f'\t\tinputs: {command.inputs}\n'
            if command.output:
                content += f'\t\toutput: {command.output}\n'

        # Return as system message
        length = len(tokenizer.encode(content))
        return self.return_messages([{'role': 'system', 'content': content}], length, tokenizer, max_tokens)

    def return_messages(self, messages: List[Dict[str, str]], length: int, tokenizer: Any, max_tokens: int) -> Dict[str, Any]:
        # This is a placeholder function. You'll need to implement this according to your needs.
        pass
