"""Ask Foresight — the runtime companion.

The app must boot and every other screen must keep working when there's no
`OPENAI_API_KEY`, so nothing here imports LangChain at module level. `enabled()`
is the gate; `run_turn` is imported inside it.
"""
from __future__ import annotations

import os

from . import threads

__all__ = ["enabled", "model_name", "run_turn", "threads", "describe",
           "greeting", "SUGGESTED_PROMPTS"]

DEFAULT_MODEL = "gpt-5.6-sol"

# Served to the client by /api/chat/config so the greeting and starter prompts can
# be tuned without a frontend deploy.
GREETING = ("Hi {first} — ask me anything about Vanderbilt. I'll look it up in real "
            "campus information and show you where the answer came from.")
GREETING_ANONYMOUS = ("Ask me anything about Vanderbilt. I'll look it up in real "
                      "campus information and show you where the answer came from.")

SUGGESTED_PROMPTS = [
    {"label": "Find me a club for what I'm into", "domain": "crew"},
    {"label": "What does add/drop actually mean?", "domain": "vu"},
    {"label": "How do I find summer research?", "domain": "future"},
    {"label": "I feel behind everyone else.", "domain": "strengths"},
]


def greeting(first_name: str = "") -> str:
    return GREETING.format(first=first_name) if first_name else GREETING_ANONYMOUS


def model_name() -> str:
    return os.environ.get("FORESIGHT_CHAT_MODEL", DEFAULT_MODEL)


def enabled() -> bool:
    """Whether the companion can actually answer.

    False means no API key is configured. The UI reads this and says so honestly
    rather than letting a student type into a box that will error.
    """
    return bool(os.environ.get("OPENAI_API_KEY"))


def run_turn(*args, **kwargs):
    from .graph import run_turn as _run_turn
    return _run_turn(*args, **kwargs)


def describe() -> dict:
    return {"enabled": enabled(), "model": model_name() if enabled() else None}