"""Utility helpers for decomposition methods.""" from __future__ import annotations from typing import Any, Dict, List, Optional def extract_primary_period(meta: Optional[Dict[str, Any]]) -> Optional[float]: """ Inspect ``series['meta']`` for the first available primary period. """ if not isinstance(meta, dict): return None cycles = meta.get("cycles") if not isinstance(cycles, list): return None for entry in cycles: if not isinstance(entry, dict): continue params = entry.get("params", {}) if not isinstance(params, dict): continue period = params.get("period") if period is not None: try: return float(period) except (TypeError, ValueError): continue periods = params.get("periods") if periods: try: return float(periods[0]) except (TypeError, ValueError, IndexError): continue return None def extract_periods_from_meta( meta: Optional[Dict[str, Any]], fallback: Optional[float] = None, ) -> List[int]: """ Extract a list of integer seasonal periods from metadata. """ periods: List[int] = [] if isinstance(meta, dict): cycles = meta.get("cycles") if isinstance(cycles, list): for entry in cycles: if not isinstance(entry, dict): continue params = entry.get("params", {}) if not isinstance(params, dict): continue period = params.get("period") if period: try: p_int = int(round(float(period))) if p_int >= 2: periods.append(p_int) except (TypeError, ValueError): pass multi = params.get("periods") if multi: for val in multi: try: p_int = int(round(float(val))) if p_int >= 2: periods.append(p_int) except (TypeError, ValueError): continue if not periods and fallback: try: p_int = int(round(float(fallback))) if p_int >= 2: periods.append(p_int) except (TypeError, ValueError): pass # remove duplicates while preserving order seen = set() unique_periods: List[int] = [] for p in periods: if p not in seen: seen.add(p) unique_periods.append(p) return unique_periods