utils/timefeatures.py

# utils/timefeatures.py (최종 수정 버전)

import numpy as np
import pandas as pd
from typing import List

# -------------------------------------------------------------------------
# 이 파일의 모든 코드를 아래 내용으로 교체하면 됩니다.
# -------------------------------------------------------------------------

class BaseTimeFeature:
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        pass

class SecondOfMinute(BaseTimeFeature):
    """Minute of hour encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.second -> index.dt.second
        return index.dt.second / 59.0 - 0.5

class MinuteOfHour(BaseTimeFeature):
    """Minute of hour encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.minute -> index.dt.minute
        return index.dt.minute / 59.0 - 0.5

class HourOfDay(BaseTimeFeature):
    """Hour of day encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.hour -> index.dt.hour
        return index.dt.hour / 23.0 - 0.5

class DayOfWeek(BaseTimeFeature):
    """Day of week encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.dayofweek -> index.dt.dayofweek
        return index.dt.dayofweek / 6.0 - 0.5

class DayOfMonth(BaseTimeFeature):
    """Day of month encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.day -> index.dt.day
        return (index.dt.day - 1) / 30.0 - 0.5

class DayOfYear(BaseTimeFeature):
    """Day of year encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.dayofyear -> index.dt.dayofyear
        return (index.dt.dayofyear - 1) / 365.0 - 0.5

class MonthOfYear(BaseTimeFeature):
    """Month of year encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.month -> index.dt.month
        return (index.dt.month - 1) / 11.0 - 0.5

class WeekOfYear(BaseTimeFeature):
    """Week of year encoded as value between [-0.5, 0.5]"""
    def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
        # ⭐️ 수정: index.isocalendar().week -> index.dt.isocalendar().week
        # .astype(float) 추가
        return (index.dt.isocalendar().week.astype(float) - 1) / 52.0 - 0.5
        
def time_features_from_frequency_str(freq_str: str) -> List[BaseTimeFeature]:
    """
    Returns a list of time features that will be used for a given frequency string.
    """
    features_by_offsets = {
        "Y": ["year"],
        "M": ["month", "year"],
        "W": ["day", "week", "month", "year"],
        "D": ["day", "week", "month", "year"],
        "B": ["day", "week", "month", "year"],
        "H": ["hour", "day", "week", "month", "year"],
        "T": ["minute", "hour", "day", "week", "month", "year"],
        "min": ["minute", "hour", "day", "week", "month", "year"],
        "S": ["second", "minute", "hour", "day", "week", "month", "year"],
    }
    offset = freq_str.split("-")[-1]
    for name, feats in features_by_offsets.items():
        if offset.startswith(name):
            return [
                cls()
                for cls in FEATURES_MAP.values()
                if cls.name in feats
            ]

FEATURES_MAP = {
    "year": "Year",
    "month": MonthOfYear,
    "week": WeekOfYear,
    "day": DayOfMonth,
    "dayofweek": DayOfWeek,
    "dayofyear": DayOfYear,
    "hour": HourOfDay,
    "minute": MinuteOfHour,
    "second": SecondOfMinute,
}

def time_features(dates, freq="T"):
    # ⭐️ 이 함수 내부 로직을 pandas 최신 버전에 맞게 수정했습니다.
    if isinstance(dates, pd.DataFrame):
        dates = pd.to_datetime(dates.iloc[:, 0])

    return np.vstack(
        [feat(dates) for feat in time_features_from_frequency_str(freq)]
    ).transpose(1, 0)