import os
from dotenv import load_dotenv
from .ai import gemini, claude

# Load environment variables from the directory where this file resides
base_dir = os.path.dirname(os.path.abspath(__file__))
dotenv_path = os.path.join(base_dir, ".env")
load_dotenv(dotenv_path)

def extract_label_info(image_bytes: bytes):
    """
    Orchestrates extraction across multiple AI providers.
    Order: Gemini (Flash/Pro) -> Claude (Haiku/Sonnet)
    """
    prompt = """
    Extract technical inventory information from this label image.
    
    CRITICAL INSTRUCTIONS:
    1. Look at the most prominent text (usually top 1-2 rows). This is the product NAME and MODEL.
    2. Extract the PART NUMBER (P/N, Model No, Type). If no explicit Part Number is found, synthesize one from the most unique identifier in the header (e.g. 'OM4-MMF-DX').
    3. Separate the COLOR (e.g. Turquoise, Yellow, Black).
    4. Extract CATEGORY based on the item type (e.g. Patchcord, SFP, Connector).
    5. Extract technical SPECS (e.g. '2.0mm', '10G', '850nm').
    
    Return ONLY a valid JSON object:
    {
      "name": "Full descriptive name from header",
      "part_number": "Unique identifier for fast scanning",
      "category": "Broad category",
      "color": "Color if present",
      "specs": "Brief tech specs list",
      "barcode": "Barcode value if visible",
      "quantity": 1
    }
    """
    
    # 1. Try Gemini
    result = gemini.extract(image_bytes, prompt)
    if result:
        return result
        
    # 2. Try Claude (Fallback)
    result = claude.extract(image_bytes, prompt)
    if result:
        return result
        
    return {"error": "All AI providers failed or no API keys configured. Check your .env file."}