"""Slipstream Space config — everything from env (HF Space secrets) + local data.
No cross-project paths: the signal bundle and the risk-screen cache ship inside the Space."""
import os
import re
from pathlib import Path

APP_DIR = Path(__file__).resolve().parent
DATA_DIR = APP_DIR / "data"

# --- secrets (set these in the HF Space settings) ---
ALPACA_API_KEY = os.getenv("ALPACA_API_KEY", "")
ALPACA_SECRET_KEY = os.getenv("ALPACA_SECRET_KEY", "")
ALPACA_ENDPOINT = re.sub(
    r"/v2/?$", "", os.getenv("ALPACA_PAPER_ENDPOINT", "https://paper-api.alpaca.markets").rstrip("/")
)
ALPACA_ALLOW_LIVE = os.getenv("ALPACA_ALLOW_LIVE", "0") == "1"

# Gemini runs the AI event-risk overlay (risk_screen.py). Flash-Lite is optimal here: a
# well-specified batched classification (not heavy reasoning), so Lite is fast (~1s), cheap,
# quota-generous (the thinking-tier Flash models 429 on free keys), and "-latest" never deprecates.
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY") or os.getenv("GOOGLE_API_KEY", "")
GEMINI_MODEL = os.getenv("GEMINI_MODEL", "gemini-flash-lite-latest")

# rebalance execution guard: the Space only trades when this is set (belt-and-braces
# on top of paper-only). Set REBALANCE_TOKEN as a secret to enable the trigger.
REBALANCE_TOKEN = os.getenv("REBALANCE_TOKEN", "")

# executor: size the book off (1 - CASH_BUFFER) x equity, never 100%. A fully-invested target plus
# the min-trade deadband (small overweights are never sold) left the paper account on a standing
# margin balance; ~1% cash absorbs fill slippage and drift. See alpaca_client.plan_rebalance.
CASH_BUFFER = float(os.getenv("SLIPSTREAM_CASH_BUFFER", "0.01"))
HTTP_TIMEOUT = 25

# The informational "Top AI Picks of the Month" panels live on the Signalflow Space.
SIGNALFLOW_URL = os.getenv("SIGNALFLOW_URL", "https://s-ttp-signalflow.hf.space")


def alpaca_is_paper() -> bool:
    return "paper-api" in ALPACA_ENDPOINT