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.gitattributes
vendored
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.gitattributes
vendored
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# Auto detect text files and perform LF normalization
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* text=auto
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152
.gitignore
vendored
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.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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11
pyproject.toml
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11
pyproject.toml
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[project]
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name = 'room_control'
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version = "1.0.0"
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description = "Various utilities for a single room controlling app"
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readme = "README.md"
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requires-python = ">=3.8"
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dependencies = [
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'pvlib'
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]
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[tool.setuptools.packages.find]
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1
requirements.txt
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1
requirements.txt
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pvlib
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0
room_control/__init__.py
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0
room_control/__init__.py
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141
room_control/daylight_adjuster.py
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141
room_control/daylight_adjuster.py
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import logging
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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 Iterable
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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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import pvlib
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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.axis_date(tz=HOME_TZ)
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# logging.info(HOME_TZ)
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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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HOME_TZ = datetime.now().astimezone().tzinfo
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@dataclass
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class DaylightAdjuster:
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location: pvlib.location.Location
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brightness_range: Iterable[int] = field(default=(0, 100))
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periods: InitVar[int] = field(default=200)
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datetime: datetime = field(default_factory=datetime.now)
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def __post_init__(self, periods: 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=periods,
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tz=HOME_TZ
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)
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self.logger.info(
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f'{type(times).__name__}:\n' +
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'\n'.join(f' {dt}' for dt in times[:5]) +
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'\n ...\n' +
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'\n'.join(f' {dt}' for dt in times[-5:])
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)
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df = self.location.get_solarposition(times)
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df.index = df.index.tz_localize(None)
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min_e, max_e = df['elevation'].min(), df['elevation'].max()
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self.elevation_range = (min_e, max_e)
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df['pct_elevation'] = (df['elevation'] - min_e) / (max_e - min_e)
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df['brightness'] = (df['pct_elevation'] * (self.brightness_range[1] - self.brightness_range[0])
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) + self.brightness_range[0]
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# df['brightness'] = df['brightness'].round(0).astype(int)
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self.df = df[['elevation', 'pct_elevation', 'brightness']]
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@property
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def elevation(self):
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return self.df['elevation']
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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.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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ax2 = ax.twinx()
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handles.extend(ax2.plot(
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self.df['brightness'], 'r',
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# drawstyle='steps'
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))
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ax2.set_ylabel('Brightness')
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ax2.set_ylim(0, 255)
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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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'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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def get_solar_position(self, dt: datetime = None):
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dt = dt or datetime.now()
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if dt.tzinfo is None:
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dt = dt.replace(tzinfo=HOME_TZ)
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return pvlib.solarposition.get_solarposition(
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dt.astimezone(None),
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latitude=self.location.latitude,
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longitude=self.location.longitude
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)
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def get_elevation(self, time=None):
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time = time or datetime.now()
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return self.get_solar_position(dt=time).iloc[0].loc['elevation']
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def get_brightness(self, time=None):
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time = time or datetime.now()
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min_e, max_e = self.elevation_range
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rng_e = max_e - min_e
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min_b, max_b = self.brightness_range
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rng_b = max_b - min_b
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current_elevation = self.get_elevation(time=time)
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pct = (current_elevation - min_e) / rng_e
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current_brightness = (pct * rng_b) + min_b
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# self.logger.info(time)
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# self.logger.info(f'Elevation: {current_elevation:.0f}, {pct*100:.1f}%')
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# self.logger.info(f'Brightness: {current_brightness:.0f}')
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print(time)
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print(f'Elevation: {current_elevation:.0f}, {pct*100:.1f}%')
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print(f'Brightness: {current_brightness:.0f}')
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return int(round(current_brightness))
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