"""Configuration and constants for ref-audio Kani TTS serving."""

import os
from pathlib import Path

# Tokenizer configuration
TOKENIZER_LENGTH = 64400
NUM_CODEBOOKS = 4

# Special tokens
START_OF_TEXT = 1
END_OF_TEXT = 2
START_OF_SPEECH = TOKENIZER_LENGTH + 1
END_OF_SPEECH = TOKENIZER_LENGTH + 2
START_OF_HUMAN = TOKENIZER_LENGTH + 3
END_OF_HUMAN = TOKENIZER_LENGTH + 4
START_OF_AI = TOKENIZER_LENGTH + 5
END_OF_AI = TOKENIZER_LENGTH + 6
PAD_TOKEN = TOKENIZER_LENGTH + 7
AUDIO_TOKENS_START = TOKENIZER_LENGTH + 10

# Audio configuration
CODEBOOK_SIZE = 4032
SAMPLE_RATE = 22050
REF_AUDIO_SECONDS = 5.0

# Streaming configuration
CHUNK_SIZE = 25  # Number of new frames to output per iteration
LOOKBACK_FRAMES = 15  # Number of frames to include from previous context

# Generation configuration
TEMPERATURE = 0.6
TOP_P = 0.95
REPETITION_PENALTY = 1.1
REPETITION_CONTEXT_SIZE = 20
MAX_TOKENS = 1200

# Long-form generation configuration
LONG_FORM_THRESHOLD_SECONDS = 15.0  # Auto-enable chunking for texts estimated >15s
LONG_FORM_CHUNK_DURATION = 12.0     # Target duration per chunk (stay within 5-15s training distribution)
LONG_FORM_SILENCE_DURATION = 0.2    # Silence between chunks in seconds


# Model paths
_ROOT = Path(__file__).resolve().parent
TOKENIZER_NAME = os.environ.get("KANITTS_TOKENIZER_NAME", "nineninesix/kani-tts-400m-0.3-pt")
MODEL_NAME = os.environ.get(
    "KANITTS_MODEL_PATH",
    "beleata74/kani-tts-400m-bg-voice-clone-ref5s",
)
CODEC_MODEL_NAME = "nvidia/nemo-nano-codec-22khz-0.6kbps-12.5fps"
GPU_MEMORY_UTILIZATION = float(os.environ.get("KANITTS_GPU_MEMORY_UTILIZATION", "0.5"))
MAX_MODEL_LEN = int(os.environ.get("KANITTS_MAX_MODEL_LEN", "1536"))