152 lines
4.9 KiB
Python
Executable File
152 lines
4.9 KiB
Python
Executable File
import logging
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from contextlib import suppress
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from dataclasses import InitVar, dataclass, field
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from datetime import datetime, timedelta
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from typing import Dict, Iterable
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W
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import astral
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import matplotlib.dates as mdates
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import matplotlib.pyplot as plt
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import pandas as pd
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from astral import Observer, SunDirection
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from astral.sun import elevation, sun, time_at_elevation
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from IPython.display import display
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HOME_TZ = datetime.now().astimezone().tzinfo
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def format_x_axis(fig):
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ax: plt.Axes = fig.axes[0]
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ax.xaxis.set_major_locator(mdates.HourLocator(byhour=range(0, 24, 2)))
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ax.xaxis.set_major_formatter(mdates.DateFormatter('%I%p'))
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ax.grid(True)
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fig.autofmt_xdate()
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def normalize(s: pd.Series, min=None, max=None):
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min = min or s.min()
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max = max or s.max()
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rng = max - min
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return ((s - min) / rng) * 100
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def parse_periods(observer: Observer, periods: Dict):
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for period in periods:
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if 'elevation' in period:
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if period['direction'] == 'rising':
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dir = SunDirection.RISING
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elif period['direction'] == 'setting':
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dir = SunDirection.SETTING
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if isinstance(period['elevation'], int):
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time = time_at_elevation(
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observer,
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elevation=period['elevation'],
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direction=dir,
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tzinfo=HOME_TZ,
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)
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elif period['elevation'] == 'min':
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pass
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elif period['elevation'] == 'max':
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pass
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elif 'time' in period:
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try:
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time = sun(observer, datetime.today().date())[period['time']].astimezone()
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except:
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time = datetime.combine(
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datetime.today().date(),
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datetime.strptime(period['time'], '%I:%M:%S%p').time()
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).astimezone()
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# res = {'time': time.replace(tzinfo=None)}
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# res = {'time': time.replace(tzinfo=HOME_TZ)}
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res = {'time': time}
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res.update({k: period[k] for k in ['brightness', 'color_temp'] if k in period})
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yield res
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@dataclass
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class DaylightAdjuster:
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latitude: float
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longitude: float
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periods: InitVar[Dict]
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datetime: datetime = field(default_factory=datetime.now)
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resolution: InitVar[int] = field(default=200)
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def __post_init__(self, periods: Dict, resolution: int):
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self.logger: logging.Logger = logging.getLogger(type(self).__name__)
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today = self.datetime.date()
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times = pd.date_range(
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today, today + timedelta(days=1),
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periods=resolution,
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tz=HOME_TZ
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)
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pytimes = (dt.to_pydatetime() for dt in times)
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el = pd.Series(
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(elevation(self.observer, dt) for dt in pytimes),
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index=times, name='elevation'
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)
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# el.index = el.index.tz_convert(HOME_TZ)
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# el.index = el.index.tz_convert(None)
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# self.df = pd.DataFrame(el)
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self.df = pd.concat([
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pd.DataFrame(parse_periods(self.observer, periods)).set_index('time'),
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el
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], axis=1).sort_index().interpolate().bfill().ffill()
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# self.df.index = self.df.index.to_series().dt.tz_localize(None)
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@property
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def observer(self) -> astral.Observer:
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return astral.Observer(self.latitude, self.longitude)
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@property
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def current_settings(self) -> pd.Series:
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return self.df[:datetime.now().astimezone()].iloc[0].drop('elevation').astype(int).to_dict()
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def elevation_fig(self):
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fig, ax = plt.subplots(figsize=(10, 7))
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handles = ax.plot(self.df['elevation'])
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ax.set_ylabel('Elevation')
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ax.set_ylim(-100, 100)
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format_x_axis(fig)
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ax.set_xlim(self.df.index[0], self.df.index[-1])
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# ax.xaxis_date(HOME_TZ)
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ax2 = ax.twinx()
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handles.extend(ax2.plot(normalize(self.df['brightness'], 1, 255), 'tab:orange'))
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handles.extend(ax2.plot(normalize(self.df['color_temp'], 150, 650), 'tab:green'))
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ax2.set_ylabel('Brightness')
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ax2.set_ylim(0, 100)
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handles.append(ax.axvline(datetime.now(),
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linestyle='--',
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color='g'))
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# handles.append(ax2.axhline(self.get_brightness(),
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# linestyle='--',
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# color='r'))
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# handles.append(ax.axhline(self.get_elevation(),
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# linestyle='--',
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# color=handles[0].get_color()))
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ax.legend(handles=handles, loc='lower center', labels=[
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'Sun Elevation Angle',
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'Brightness Setting',
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'Color Temp Setting',
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'Current Time',
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# 'Current Brightness',
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# 'Current Elevation'
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])
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fig.tight_layout()
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plt.close(fig)
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return fig
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