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replacing import logging (#425)

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Normann 2025-01-27 21:18:15 +01:00 committed by GitHub
parent 6743d8df4f
commit 1bb74ed836
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3 changed files with 7 additions and 8 deletions
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5
src/akkudoktoreos/devices/heatpump.py
View File

@ -1,6 +1,7 @@
import logging
from typing import List, Sequence
from akkudoktoreos.core.logging import get_logger
class Heatpump:
MAX_HEAT_OUTPUT = 5000
@ -21,7 +22,7 @@ class Heatpump:
def __init__(self, max_heat_output: int, hours: int):
self.max_heat_output = max_heat_output
self.hours = hours
self.log = logging.getLogger(__name__)
self.log = get_logger(__name__)
def __check_outside_temperature_range__(self, temp_celsius: float) -> bool:
"""Check if temperature is in valid range between -100 and 100 degree Celsius.

3
src/akkudoktoreos/optimization/genetic.py
View File

@ -1,4 +1,3 @@
import logging
import random
import time
from typing import Any, Optional
@ -121,7 +120,7 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
# Set a fixed seed for random operations if provided or in debug mode
if self.fix_seed is not None:
random.seed(self.fix_seed)
elif logger.level == logging.DEBUG:
elif logger.level == "DEBUG":
self.fix_seed = random.randint(1, 100000000000)
random.seed(self.fix_seed)

7
src/akkudoktoreos/utils/visualize.py
View File

@ -1,5 +1,4 @@
import json
import logging
import os
import textwrap
from collections.abc import Sequence
@ -615,7 +614,7 @@ def prepare_visualize(
if filtered_balance.size > 0 or filtered_losses.size > 0:
report.finalize_group()
if logger.level == logging.DEBUG or results["fixed_seed"]:
if logger.level == "DEBUG" or results["fixed_seed"]:
report.create_line_chart(
0,
[
@ -711,9 +710,9 @@ def generate_example_report(filename: str = "example_report.pdf") -> None:
report.finalize_group() # Finalize the third group of charts
logger.setLevel(logging.DEBUG) # set level for example report
logger.setLevel("DEBUG") # set level for example report
if logger.level == logging.DEBUG:
if logger.level == "DEBUG":
report.create_line_chart(
x_hours,
[np.array([0.2, 0.25, 0.3, 0.35])],