# ===東吳大學資料系 2025 年 LINEBOT ===
from google import genai
from flask import Flask, send_from_directory
import os
import logging
import tempfile

# === 初始化 Google Gemini ===
GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
client = genai.Client(api_key=GOOGLE_API_KEY)
MODEL_ID = "gemini-2.0-flash"

# === 初始設定 ===
static_tmp_path = tempfile.gettempdir()
os.makedirs(static_tmp_path, exist_ok=True)
base_url = os.getenv("SPACE_HOST")  # e.g., "your-space-name.hf.space"

# === Flask 應用初始化 ===
app = Flask(__name__)
logging.basicConfig(
    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
)
app.logger.setLevel(logging.INFO)

# === AI Query 包裝 ===
def query(payload):
    response = client.models.generate_content(
    model=MODEL_ID,
    contents=payload
    )
    return response.text

# === 靜態圖檔路由 ===
@app.route("/images/<filename>")
def serve_image(filename):
    return send_from_directory(static_tmp_path, filename)


# === LINE Webhook 接收端點 ===
@app.route("/")
def home():
    return {"message": query("用繁體中文介紹你自己")}