from backend.ai.client import llm_client, render_prompt
from backend.ai.prompts import CLASSIFY_PROMPT


def classify_email(from_email: str, subject: str, body: str, business_context: str) -> dict:
    if llm_client.is_ready():
        return llm_client.generate_json(
            render_prompt(
                CLASSIFY_PROMPT,
                categories="order, availability_inquiry, complaint, greeting, other",
                from_email=from_email,
                subject=subject,
                body=body,
                business_context=business_context,
            )
        )

    text = f"{subject} {body}".lower()
    category = "order" if "order" in text else "availability_inquiry" if "available" in text else "other"
    priority = "high" if "restaurant" in from_email.lower() else "medium"
    return {
        "category": category,
        "priority": priority,
        "requires_response": True,
        "sentiment": "neutral",
        "reasoning": "Derived from keywords and sender profile.",
    }