import os
from dotenv import load_dotenv

load_dotenv()

# Custom portrait icons from Assets/ — False uses emojis instead.
# Env override: USE_CUSTOM_PORTRAITS=true python app.py
USE_CUSTOM_PORTRAITS = os.getenv("USE_CUSTOM_PORTRAITS", "false").lower() in ("1", "true", "yes")

# Gold CSS tint on emoji portraits (judges + debaters). False = natural emoji colours.
# Only applies when USE_CUSTOM_PORTRAITS is False.
# Env override: GOLD_EMOJI_PORTRAITS=false python app.py
GOLD_EMOJI_PORTRAITS = os.getenv("GOLD_EMOJI_PORTRAITS", "false").lower() in ("1", "true", "yes")

ABILITIES_ENABLED = True   # master toggle — game works fully with False
DIFFICULTY = "normal"  # "easy" | "normal" | "hard"
ROUNDS = 3
WORDS_PER_ROUND = 3
# Pool: 3 power + 2 spice + 7 standard (sampled) + 1 LLM flavor swap = 12
# With 3 rounds × 3 words = 9 words used, 3 spare for strategic choice
POOL_SIZE = 12
ABILITY_HAND_SIZE = 3
SKIP_BONUS = 5          # points when skipping a round while a usable card remains
WILDCARD_SYNERGY_BONUS = 5  # hidden: Wildcard debater + Wildcard card + injected word used
ARGUMENT_WORD_LIMIT = 60
SENTENCE_WORD_LIMIT = 15  # max words per argument sentence

# Substitute for ability words flagged by content moderation (LLM + heuristics).
FLAGGED_WORD_REPLACEMENT = "INAPPROPRIATE"

LLM_PROVIDER = os.getenv("LLM_PROVIDER", "anthropic")
ANTHROPIC_MODEL = "claude-sonnet-4-5-20250929"
HF_MODEL = "google/gemma-4-31B-it"
HF_INFERENCE_PROVIDER = os.getenv("HF_INFERENCE_PROVIDER", "featherless-ai")

# Modal / vLLM backend — set LLM_PROVIDER=modal to use.
# MODAL_ENDPOINT_URL is the URL printed by `python -m modal deploy modal_serve.py`.
MODAL_ENDPOINT_URL = os.getenv("MODAL_ENDPOINT_URL", "")
MODAL_MODEL = os.getenv("MODAL_MODEL", "google/gemma-4-31B-it")

# Per-game session logs (JSONL + readable summary in logs/)
GAME_LOGGING_ENABLED = os.getenv("GAME_LOGGING_ENABLED", "true").lower() in ("1", "true", "yes")
LOG_DIR = os.getenv("LOG_DIR", "logs")