import os
import base64
from google import genai
from google.genai import types
from typing import Optional, Dict, Any

def scrape_with_vision(screenshot_bytes: bytes, url: str) -> Optional[Dict[str, Any]]:
    """
    Uses Gemini 2.0 Flash (Vision) to transcribe a screenshot of an article.
    Migrated to new google.genai SDK.
    """
    api_key = os.environ.get("GEMINI_API_KEY")
    if not api_key:
        return None
        
    try:
        client = genai.Client(api_key=api_key)
        
        prompt = """
        You are a visual web scraper. 
        Your task is to transcribe the article in this screenshot into Markdown format.
        
        Rules:
        1. Extract the Title, Author, and Full Content.
        2. Preserve all headers, code blocks, and formatting.
        3. Ignore ads, sidebars, and navigation menus.
        4. If the content is truncated or behind a paywall in the image, transcribe what is visible and add a note.
        5. Output ONLY the markdown.
        """
        
        # Create image part for new SDK
        image_part = types.Part.from_bytes(
            data=screenshot_bytes,
            mime_type="image/png"
        )
        
        response = client.models.generate_content(
            model='gemini-2.0-flash-exp',
            contents=[prompt, image_part]
        )
        markdown = response.text
        
        # Basic parsing of the markdown to get title/author if possible
        title = "Unknown Title"
        lines = markdown.split("\n")
        for line in lines:
            if line.startswith("# "):
                title = line.replace("# ", "").strip()
                break
                
        return {
            "url": url,
            "title": title,
            "author": {"name": "Unknown (Vision Extracted)"},
            "markdownContent": markdown,
            "source": "vision"
        }
        
    except Exception as e:
        print(f"Vision Scraping Failed: {e}")
        return None

def extract_chart_data(image_url: str) -> Optional[str]:
    """
    Downloads a chart image and converts it to CSV data using Gemini Vision.
    Migrated to new google.genai SDK.
    """
    api_key = os.environ.get("GEMINI_API_KEY")
    if not api_key:
        return None

    try:
        import httpx
        # Download image
        with httpx.Client() as client:
            resp = client.get(image_url)
            if resp.status_code != 200:
                return None
            image_bytes = resp.content

        client = genai.Client(api_key=api_key)
        
        prompt = """
        Analyze this chart image.
        Extract the underlying data and output it as a CSV string.
        Do not include any other text, just the CSV.
        """
        
        # Create image part for new SDK
        image_part = types.Part.from_bytes(
            data=image_bytes,
            mime_type="image/png"
        )
        
        response = client.models.generate_content(
            model='gemini-2.0-flash-exp',
            contents=[prompt, image_part]
        )
        return response.text.strip()
        
    except Exception as e:
        print(f"Chart Extraction Failed: {e}")
        return None