from typing import List, Dict, Any, Optional
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.tools import Tool
from .llm_providers import LLMProvider
from ..execution.browser_engine import BrowserEngine

class ScrapingOrchestrator:
    def __init__(self, llm, browser: BrowserEngine):
        self.llm = llm
        self.browser = browser
        self.tools = self._setup_tools()

    def _setup_tools(self) -> List[Tool]:
        return [
            Tool(
                name="navigate",
                func=lambda url: self.browser.navigate(url),
                description="Navigate to a specific URL"
            ),
            Tool(
                name="scroll_down",
                func=lambda: self.browser.scroll_down(),
                description="Scroll down the current page to reveal more content"
            ),
            Tool(
                name="get_content",
                func=lambda: self.browser.get_content(),
                description="Get the visible text content of the current page"
            )
        ]

    async def run(self, prompt: str):
        # In a full implementation, we'd use create_openai_functions_agent or similar
        # For this version, let's keep it simpler but extensible
        # The agent would decide which tools to use to satisfy the user prompt
        pass
