EOS/src/akkudoktoreos/class_haushaltsgeraet.py
Bobby Noelte 6561793e3b
Add API documentation generation and use Markdown (#160)
* Add package API documentation generation

Add generation of the API documentation for akkudoktoreos
and akkudoktoreosserver packages.

The API documentation is generated by the Sphinx autosummary extension.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* Enable Google style source commenting and documentation generation.

Enable automatic documentation generation from Google style docstrings in the source.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* Check Google style source commenting.

Check Google style commenting by the appropriate ruff rules.

Commenting is _NOT_ enforced. Missing docstrings are ignored.

Minor commenting quirks of the code base are adapted.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* Improve Markdown handling and switch to Markdown documentation.

Switch to Markdown for the documentation files to improve the user and developer experience (see issue #181).

Keep files with special directives for automatic API documentation in RST format. The
directives expect RST.

Also add dummy handling for openai/ swagger server documentation. The openai interface definition is
for now taken from the fastapi PR as EOS will switch to fastAPI.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

---------

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:27:52 +01:00

51 lines
2.1 KiB
Python

import numpy as np
class Haushaltsgeraet:
def __init__(self, hours=None, verbrauch_wh=None, dauer_h=None):
self.hours = hours # Total duration for which the planning is done
self.verbrauch_wh = verbrauch_wh # Total energy consumption of the device in kWh
self.dauer_h = dauer_h # Duration of use in hours
self.lastkurve = np.zeros(self.hours) # Initialize the load curve with zeros
def set_startzeitpunkt(self, start_hour, global_start_hour=0):
"""Sets the start time of the device and generates the corresponding load curve.
:param start_hour: The hour at which the device should start.
"""
self.reset()
# Check if the duration of use is within the available time frame
if start_hour + self.dauer_h > self.hours:
raise ValueError("The duration of use exceeds the available time frame.")
if start_hour < global_start_hour:
raise ValueError("The start time is earlier than the available time frame.")
# Calculate power per hour based on total consumption and duration
leistung_pro_stunde = self.verbrauch_wh / self.dauer_h # Convert to watt-hours
# Set the power for the duration of use in the load curve array
self.lastkurve[start_hour : start_hour + self.dauer_h] = leistung_pro_stunde
def reset(self):
"""Resets the load curve."""
self.lastkurve = np.zeros(self.hours)
def get_lastkurve(self):
"""Returns the current load curve."""
return self.lastkurve
def get_last_fuer_stunde(self, hour):
"""Returns the load for a specific hour.
:param hour: The hour for which the load is queried.
:return: The load in watts for the specified hour.
"""
if hour < 0 or hour >= self.hours:
raise ValueError("The specified hour is outside the available time frame.")
return self.lastkurve[hour]
def spaetestmoeglicher_startzeitpunkt(self):
"""Returns the latest possible start time at which the device can still run completely."""
return self.hours - self.dauer_h