import json

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


def compose_reply(context: dict, tone: str = "friendly") -> str:
    if llm_client.is_ready():
        return llm_client.generate_text(
            render_prompt(
                COMPOSE_PROMPT,
                business_name=context.get("business_name", "FlowPilot customer"),
                business_type=context.get("business_type", "small business"),
                owner_name=context.get("owner_name", "Raj"),
                tone=tone,
                context=json.dumps(context, indent=2),
                data=json.dumps(context, indent=2),
            )
        )

    customer = context.get("customer_name", "there")
    items = context.get("items", [])
    item_summary = ", ".join(f"{item['quantity']} x {item['name']}" for item in items) or "your request"
    return (
        f"Hi {customer},\n\n"
        f"Thanks for your order. We have {item_summary} ready and will follow up with pickup details shortly.\n\n"
        "Raj"
    )