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import datetime
import json
import zoneinfo
from typing import Any
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import numpy as np
# currently unused
def ist_dst_wechsel(tag: datetime.datetime, timezone: str = "Europe/Berlin") -> bool:
"""Checks if Daylight Saving Time (DST) starts or ends on a given day."""
tz = zoneinfo.ZoneInfo(timezone)
# Get the current day and the next day
current_day = datetime.datetime(tag.year, tag.month, tag.day)
next_day = current_day + datetime.timedelta(days=1)
# Check if the UTC offsets are different (indicating a DST change)
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dst_change = current_day.replace(tzinfo=tz).dst() != next_day.replace(tzinfo=tz).dst()
return dst_change
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class NumpyEncoder(json.JSONEncoder):
@classmethod
def convert_numpy(cls, obj: Any) -> tuple[Any, bool]:
if isinstance(obj, np.ndarray):
# Convert NumPy arrays to lists
return [
None if isinstance(x, (int, float)) and np.isnan(x) else x for x in obj.tolist()
], True
if isinstance(obj, np.generic):
return obj.item(), True # Convert NumPy scalars to native Python types
return obj, False
def default(self, obj: Any) -> Any:
obj, converted = NumpyEncoder.convert_numpy(obj)
if converted:
return obj
return super(NumpyEncoder, self).default(obj)
@staticmethod
def dumps(data: Any) -> str:
"""Static method to serialize a Python object into a JSON string using NumpyEncoder.
Args:
data: The Python object to serialize.
Returns:
str: A JSON string representation of the object.
"""
return json.dumps(data, cls=NumpyEncoder)
# # Example usage
# start_date = datetime.datetime(2024, 3, 31) # Date of the DST change
# if ist_dst_wechsel(start_date):
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# prediction_hours = 23 # Adjust to 23 hours for DST change days
# else:
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# prediction_hours = 24 # Default value for days without DST change