# -*- python -*-
# This example covers most of what Blueshift offers. For a complete
# coverage of Blueshift complement this example with:
# backlight, crtc-detection, crtc-searching, logarithmic,
# stored-settings, modes, textconf
# However the are features that are only covered by the info manual:
# Methods for calculating correlated colour temperature
# This file is dual-licensed under GNU General Public License
# version 3 and GNU Free Documentation License version 1.3.
# Copyright © 2014 Mattias Andrée (maandree@member.fsf.org)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# Copyright © 2014 Mattias Andrée (maandree@member.fsf.org)
#
# Permission is granted to copy, distribute and/or modify this document
# under the terms of the GNU Free Documentation License, Version 1.3
# or any later version published by the Free Software Foundation;
# with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
# You should have received a copy of the GNU General Public License
# along with this software package. If not, see <http://www.gnu.org/licenses/>.
import os
# Geographical coodinates.
# ("Kristall, vertikal accent i glas och stål" (Crystal, vertical accent
# in glass and steal) in this example. A glas obelisk, lit from the inside
# with adjustable colours and a default colour of 5600 K, in the middle
# of a hyperelliptic roundabout.)
latitude, longitude = 59.3326, 18.0652
# Custom dayness by time settings.
time_alpha = [['02:00', 0], ['08:00', 1], ['22:00', 1]]
def by_time():
'''
Dayness calculation using time
'''
global time_alpha
if isinstance(time_alpha[0][0], str):
for i in range(len(time_alpha)):
hh = [float(x) for x in time_alpha[i][0].split(':')]
hh = sum([hh[j] / 60 ** j for j in range(len(hh))])
time_alpha[i][0] = hh
now = datetime.datetime.now()
hh = now.hour + now.minute / 60 + now.second / 60 ** 2
for i in range(len(time_alpha)):
(a, av) = time_alpha[i]
(b, bv) = time_alpha[(i + 1) % len(time_alpha)]
if a < hh: a += 24
if b < hh: b += 24
if a <= hh <= b:
hh = (hh - a) / (b - a)
return av * (1 - hh) + bv * hh
return 1 # Error in `time_alpha` (probably)
# Method for applying colour curves.
apply_curves = randr
#apply_curves = vidmode
if ttymode:
apply_curves = drm
# Keep uncomment to use solar position.
get_dayness = lambda : sun(latitude, longitude)
# Uncomment to use time of day.
#get_dayness = by_time
# Uncomment if you do not want continuous mode, high night values are used.
#get_dayness = None
# The (zero-based) index of the monitors (CRTC:s) to apply
# settings to. An empty list means that all monitors are used,
# but all monitors will have the same settings.
monitors = []
# The following settings are lists. This is to allow you to
# use different settings on different monitors. For example,
# `gamma_red_day = [1]`, this means that during high day, the
# red gamma is 1 on all monitors. But if we change this to
# `gamma_red_day = [1.0, 1.1]`, the first monitor will have
# the red gamma set to 1,0 and the second monitor will have
# the red gamma set to 1,1. If you have more monitors than
# used in the settings modulo division will be used. For
# instance, if you have four monitors, the third monitor will
# have the same settings as the first monitor, and the fourth
# monitor will have the same settings as the second monitor.
# Colour temperature at high day and high night, respectively.
temperature_day, temperature_night = [6500], [3700]
# Colour brightness at high day and high night, respectively.
# This setting uses the CIE xyY colour space for calculating values.
brightness_day, brightness_night = [1], [1]
# Colour brightness of the red, green and blue components,
# respectively, at high day and high night, respectively.
# This settings uses the sRGB colour space for calculating values.
brightness_red_day, brightness_red_night = [1], [1]
brightness_green_day, brightness_green_night = [1], [1]
brightness_blue_day, brightness_blue_night = [1], [1]
# Colour contrast at high day and high night, respectively.
# This setting uses the CIE xyY colour space for calculating values.
contrast_day, contrast_night = [1], [1]
# Colour contrast of the red, green and blue components,
# respectively, at high day and high night, respectively.
# This settings uses the sRGB colour space for calculating values.
contrast_red_day, contrast_red_night = [1], [1]
contrast_green_day, contrast_green_night = [1], [1]
contrast_blue_day, contrast_blue_night = [1], [1]
# Note: brightness and contrast is not intended for colour
# calibration, it should be calibrated on the monitors'
# control panels.
# Gamma correction for the red, green and blue components, respectively,
# at high day, high night and monitor default, respectively.
# This settings uses the sRGB colour space for calculating values.
gamma_red_day, gamma_red_night, gamma_red_default = [1], [1], [1]
gamma_green_day, gamma_green_night, gamma_green_default = [1], [1], [1]
gamma_blue_day, gamma_blue_night, gamma_blue_default = [1], [1], [1]
# Note: gamma is supposted to be static, it purpose is to
# correct the colours on the monitors the monitor's gamma
# is exactly 2,2 and the colours look correct in relation
# too each other. It is supported to have different settings
# at day and night because there are no technical limitings
# and it can presumable increase readability on text when
# the colour temperature is low.
# ICC profile for video filtering and monitor calibration, respectively.
# Replace `None` with the pathname of the profile. It is assume that
# the calibration profile is already applied and that you want it to
# still be applied on exit.
icc_video_filter_profile = [None]
icc_calibration_profile = [None]
# Function for getting the current the current monitor calibration.
# If `None` the the current monitor calibration will be ignored.
# `if not panicgate:` is included to ignore monitor calibration if
# -p (--panicgate) is used.
current_calibration = [None]
if not panicgate:
if not ttymode:
calib_get = None
#calib_get = randr_get
#calib_get = vidmode_get
else:
calib_get = None
#calib_get = drm_get
current_calibration = [calib_get]
# These are fun curve manipulator settings that lowers the
# colour resolution. `red_x_resolution` is the number of colours
# colours there are one encoding axis of the red curve.
# `red_y_resolution` is how many colours there are on the
# output axis of the red curve. `None` means that the default
# resolution should be used, which are `i_size` for *_x_resolution
# and `o_size` for *_y_resolution. `...` means that the value
# above should be used.
red_x_resolution, red_y_resolution = [None], [None]
green_x_resolution, green_y_resolution = [...], [...]
blue_x_resolution, blue_y_resolution = [...], [...]
# Negative image settings. `None` means that negative image
# is applied to none of the subpixels. `lambda : negative(True)`
# and `negative(True, True, True)` applied negative image to
# all subpixels by reversion the colour curves on the encoding
# axes. For the three parameter functions, the first parameters
# should be `True` to perform negative image on the red subpixel
# and do nothing if `False`, and analogously for green on the
# second parameter and blue on the third parameter. `rgb_invert`
# inverts the curves on the output axes, and `cie_invert` does
# the same thing except it calcuates the inversion in the CIE
# xyY colour space.
negative_image = [None]
#negative_image = [lambda : negative(True)]
#negative_image = [lambda : negative(True, True, True)]
#negative_image = [lambda : rgb_invert(True)]
#negative_image = [lambda : rgb_invert(True, True, True)]
#negative_image = [lambda : cie_invert(True)]
#negative_image = [lambda : cie_invert(True, True, True)]
# Loads the current monitor calibrations.
m = 0
for i in range(len(current_calibration)):
f = current_calibration[i]
if f is not None:
if not len(monitors) == 0:
m = monitors[i % len(monitors)]
current_calibration[i] = f(m)
monitor_controller = lambda : apply_curves(*monitors)
'''
:()→void Function used by Blueshift on exit to apply reset colour curves, if using preimplemented `reset`
'''
uses_adhoc_opts = True
'''
:bool `True` if the configuration script parses the ad-hoc settings
'''
# Get --reset from Blueshift ad-hoc settigns
doreset = parser.opts['--reset']
last_dayness = None
def periodically(year, month, day, hour, minute, second, weekday, fade):
'''
:(int, int, int, int, int, int, int, float?)?→void Place holder for periodically invoked function
Invoked periodically
If you want to control at what to invoke this function next time
you can set the value of the global variable `wait_period` to the
number of seconds to wait before invoking this function again.
The value does not need to be an integer.
@param year:int The year
@param month:int The month, 1 = January, 12 = December
@param day:int The day, minimum value is 1, probable maximum value is 31 (*)
@param hour:int The hour, minimum value is 0, maximum value is 23
@param minute:int The minute, minimum value is 0, maximum value is 59
@param second:int The second, minimum value is 0, probable maximum value is 60 (**)
@param weekday:int The weekday, 1 = Monday, 7 = Sunday
@param fade:float? Blueshift can use this function to fade into a state when it start
or exits. `fade` can either be negative, zero or positive or `None`,
but the magnitude of value cannot exceed 1. When Blueshift starts,
this function will be invoked multiple with the time parameters
of the time it is invoked and each time `fade` will increase towards
1, starting at 0, when the value is 1, the settings should be applied
to 100 %. After this this function will be invoked once again with
`fade` being `None`. When Blueshift exits the same behaviour is used
except, `fade` decrease towards -1 but start slightly below 0, when
-1 is reached all settings should be normal. Then Blueshift will NOT
invoke this function with `fade` being `None`, instead it will by
itself revert all settings and quit.
(*) Can be exceeded if the calendar system is changed, like in 1712-(02)Feb-30
(**) See https://en.wikipedia.org/wiki/Leap_second
'''
global last_dayness, wait_period
dayness = get_dayness()
# Do not do unnecessary work.
if fade is None:
if dayness == last_dayness:
return
last_dayness = dayness
# Help functions for colour interpolation.
interpol = lambda _day, _night : _day[m % len(_day)] * dayness + _night[m % len(_night)] * (1 - dayness)
purify = lambda current, pure : current * alpha + pure * (1 - alpha)
for m in range(max(1, len(monitors))):
temperature_ = interpol(temperature_day, temperature_night)
brightness_ = interpol(brightness_day, brightness_night)
brightness_red_ = interpol(brightness_red_day, brightness_red_night)
brightness_green_ = interpol(brightness_green_day, brightness_green_night)
brightness_blue_ = interpol(brightness_blue_day, brightness_blue_night)
contrast_ = interpol(contrast_day, contrast_night)
contrast_red_ = interpol(contrast_red_day, contrast_red_night)
contrast_green_ = interpol(contrast_green_day, contrast_green_night)
contrast_blue_ = interpol(contrast_blue_day, contrast_blue_night)
gamma_red_ = interpol(gamma_red_day, gamma_red_night)
gamma_green_ = interpol(gamma_green_day, gamma_green_night)
gamma_blue_ = interpol(gamma_blue_day, gamma_blue_night)
if fade is not None:
alpha = abs(fade)
temperature_ = purify(temperature_, 6500)
brightness_ = purify(brightness_, 1)
brightness_red_ = purify(brightness_red_, 1)
brightness_green_ = purify(brightness_green_, 1)
brightness_blue_ = purify(brightness_blue_, 1)
contrast_ = purify(contrast_, 1)
contrast_red_ = purify(contrast_red_, 1)
contrast_green_ = purify(contrast_green_, 1)
contrast_blue_ = purify(contrast_blue_, 1)
gamma_red_ = purify(gamma_red_, gamma_red_default [m % len(gamma_red_default)])
gamma_green_ = purify(gamma_green_, gamma_green_default[m % len(gamma_green_default)])
gamma_blue_ = purify(gamma_blue_, gamma_blue_default [m % len(gamma_blue_default)])
# Remove settings from last run.
start_over()
# Apply ICC profile as a video filter.
i = m % len(icc_video_filter_profile)
if icc_video_filter_profile[i] is not None:
if isinstance(icc_video_filter_profile[i], str):
icc_video_filter_profile[i] = load_icc(icc_video_filter_profile[i])
icc_video_filter_profile[i]()
# Fade in/out filter
if fade is not None:
alpha = abs(fade)
for curve in (r_curve, g_curve, b_curve):
for i in range(i_size):
curve[i] = purify(curve[i], i / (i_size - 1))
# Apply negative image.
f = negative_image[m % len(negative_image)]
if f is not None:
f()
# Apply colour temperature using raw CIE 1964 10 degree CMF data with interpolation.
temperature(temperature_, lambda t : divide_by_maximum(cmf_10deg(t)))
# Apply calibration used when started.
c = current_calibration[m % len(current_calibration)]
if c is not None:
c()
# Apply colour brightness using the CIE xyY colour space.
cie_brightness(brightness_)
# Apply colour brightness using the sRGB colour space.
# If we only used one parameter, it would be applied to all colour components.
rgb_brightness(brightness_red_, brightness_green_, brightness_blue_)
# Apply colour contrast using the CIE xyY colour space.
cie_contrast(contrast_)
# Apply colour contrast using the sRGB colour space.
# If we only used one parameter, it would be applied to all colour components.
rgb_contrast(contrast_red_, contrast_green_, contrast_blue_)
# Apply low colour resolution emulation.
rx = red_x_resolution[m % len(red_x_resolution)]
ry = red_y_resolution[m % len(red_y_resolution)]
gx = green_x_resolution[m % len(green_x_resolution)]
gy = green_y_resolution[m % len(green_y_resolution)]
bx = blue_x_resolution[m % len(blue_x_resolution)]
by = blue_y_resolution[m % len(blue_y_resolution)]
lower_resolution(rx, ry, gx, gy, bx, by)
# Clip colour curves to fit [0, 1] to avoid errors by complex numbers.
clip()
# Apply gamma correction to monitor.
gamma(gamma_red_, gamma_green_, gamma_blue_)
# Apply ICC profile as a monitor calibration.
i = m % len(icc_calibration_profile)
if icc_calibration_profile[i] is not None:
if isinstance(icc_calibration_profile[i], str):
icc_calibration_profile[i] = load_icc(icc_calibration_profile[i])
icc_calibration_profile[i]()
# Flush settings to monitor.
if len(monitors) == 0:
apply_curves()
else:
apply_curves(monitors[m % len(monitors)])
# Lets wait only 5 seconds, instead of a minute before running again.
wait_period = 5
def reset():
'''
Invoked to reset the displays
'''
for m in range(max(1, len(monitors))):
gamma_red_ = gamma_red_default [m % len(gamma_red_default)]
gamma_green_ = gamma_green_default[m % len(gamma_green_default)]
gamma_blue_ = gamma_blue_default [m % len(gamma_blue_default)]
# Remove settings from last run.
start_over()
# Apply calibration used when started.
c = current_calibration[m % len(current_calibration)]
if c is not None:
c()
# Apply gamma correction to monitor.
gamma(gamma_red_, gamma_green_, gamma_blue_)
# Apply ICC profile as a monitor calibration.
i = m % len(icc_calibration_profile)
if icc_calibration_profile[i] is not None:
if isinstance(icc_calibration_profile[i], str):
icc_calibration_profile[i] = load_icc(icc_calibration_profile[i])
icc_calibration_profile[i]()
# Flush settings to monitor.
if len(monitors) == 0:
apply_curves()
else:
apply_curves(monitors[m % len(monitors)])
if (get_dayness is not None) and not doreset:
# Set transition time, 0 on high day and 5 seconds on high night.
fadein_time = 5 * (1 - get_dayness())
# Do 10 changes per second.
fadein_steps = fadein_time * 10
# Transition on exit in the same way, calculated on exit.
old_signal_SIGTERM = signal_SIGTERM
if 'SIGTERM' not in conf_storage:
conf_storage['SIGTERM'] = old_signal_SIGTERM
else:
old_signal_SIGTERM = conf_storage['SIGTERM']
def signal_SIGTERM(signum, frame):
global fadeout_time, fadeout_steps
fadeout_time = 5 * (1 - get_dayness())
fadeout_steps = fadeout_time * 10
old_signal_SIGTERM(signum, frame)
else:
# Do not use continuous mode.
get_dayness = lambda : 0
def apply(fade):
t = datetime.datetime.now()
wd = t.isocalendar()[2]
periodically(t.year, t.month, t.day, t.hour, t.minute, t.second, wd, fade)
if not panicgate:
signal.signal(signal.SIGTERM, signal_SIGTERM)
trans = 0
apply((1 - trans) if doreset else trans)
while running:
time.sleep(0.1)
if trans >= 1:
break
trans += 0.05
apply((1 - trans) if doreset else trans)
if not doreset:
apply(None)
else:
reset()
periodically = None
