correction.py

import logging
import numpy as np
import pandas as pd
from typing import Dict, Tuple


def correct_peaks_by_rhythm(peaks: np.ndarray, audio_envelope: np.ndarray, sample_rate: int, params: Dict) -> np.ndarray:
    """
    Phase 3 template (Stage 4 placeholder).
    Replace this with your new stage-4 rhythm correction logic.
    """
    _ = audio_envelope, sample_rate, params
    logging.info("--- STAGE 4 TEMPLATE: no rhythm correction applied ---")
    return np.asarray(peaks)


def fix_rhythmic_discontinuities(s1_peaks: np.ndarray, all_raw_peaks: np.ndarray, debug_info: Dict,
                                  audio_envelope: np.ndarray, dynamic_noise_floor: pd.Series, params: Dict,
                                  sample_rate: int) -> Tuple[np.ndarray, Dict, int]:
    """
    Phase 3 template (Stage 5 placeholder).
    Replace this with your new iterative/contextual correction logic.
    """
    _ = all_raw_peaks, audio_envelope, dynamic_noise_floor, params, sample_rate
    logging.info("--- STAGE 5 TEMPLATE: no contextual correction applied ---")
    return np.asarray(s1_peaks), debug_info.copy(), 0