path: root/examples/comprehensive

# -*- 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, icc-profile-atoms
# However the are features that are only covered by the info manual:
#   Methods for calculating correlated colour temperature
#   The `functionise` function
#   Predefined colour temperatures


# This file is dual-licensed under GNU General Public License
# version 3 and GNU Free Documentation License version 1.3.


# Copyright © 2014, 2015, 2016, 2017  Mattias Andrée (m@maandree.se)
# 
# 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, 2015, 2016, 2017  Mattias Andrée (m@maandree.se)
# 
# 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 glass 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

# International Civil Aviation Organization (ICAO)
# code of the nearest airport. Used to get weather
# report. `None` if you do not want to account for
# the weather.
# (Stockholm Bromma Airport in this example.)
airport = 'ESSB'
# You can also use None if you have ~/.config/metar set.

# 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)



# Command used to download a file at an HTTP URL
download_command = None
# This is what if used if `None` is selected:
# download_command = lambda url : ['wget', url, '-O', '-']


# Method for applying colour curves in X.
apply_curves_x = randr
#apply_curves_x = vidmode

# Method for applying colour curves in TTY.
apply_curves_tty_ = drm

# X's RandR and DRM which is used in TTY, does not
# necessarily give the CRTC:s the same indices.
# Specifically, RandR reorders them so that the
# primary monitor have CRTC 0. Fill in this table
# so that the indices give by DRM are mapped to
# those given by RandR. In this example, 0 is mapped
# to 1 and 1 is mapped to 0, this is how it should
# be if your primary monitor is given index 1 by
# DRM and you have two monitors.
tty_to_x_crtc_mapping = {0 : 1, 1 : 0}

def apply_curves_tty(*crtcs, screen = 0, display = None):
    '''
    Wrapping for `apply_curves_tty_` that remaps the CRTC:s
    indices, to match those in RandR.
    
    @param  crtcs:*int    The CRT controllers to use, all are used if none are specified
    @param  screen:int    The graphics card to which the monitors belong,
                          named `screen` for compatibility with `randr` and `vidmode`
    @param  display:str?  Dummy parameter for compatibility with `randr` and `vidmode`
    '''
    mapping = tty_to_x_crtc_mapping
    crtcs_ = [(mapping[c] if c in mapping else c) for c in crtcs]
    apply_curves_tty_(*crtcs_, screen = screen, display = display)

def apply_curves(*crtcs, screen = 0):
    '''
    Applies colour curves

    This wrapper is used to allow multi-display and multi-server support
    
    @param  crtcs:*int    The CRT controllers to use, all are used if none are specified
    @param  screen:int    The screen to which the monitors belong
    '''
    # Single display and single server, variant:
    (apply_curves_tty if ttymode else apply_curves_x)(*crtcs, screen = screen)
    
    # Variant for TTY and all X display:
    #apply_curves_tty(*crtcs, screen = screen)
    #for display_socket in  os.listdir('/tmp/.X11-unix'):
    #    if display_socket.startswith('X'):
    #        try:
    #            display = ':%i' % int(display_socket[1:])
    #            apply_curves_x(*crtcs, screen = screen, display = display)
    #        except:
    #            pass
    
    # Variant for TTY and selected X displays:
    #apply_curves_tty(*crtcs, screen = screen)
    #for display in [None, ':1']: # Current and :1
    #    apply_curves_x(*crtcs, screen = screen, display = display)


# 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


# Dayness modifiers based on weather and sky conditions.
weather_modifiers = { 'clear'         : 1.00
                    , 'mostly clear'  : 0.95
                    , 'partly cloudy' : 0.90
                    , 'mostly cloudy' : 0.85
                    , 'overcast'      : 0.80
                    , 'obscured'      : 0.75
                    }

# The maximum for visibility range for when to
# account for the visibility range. `None` if
# you do dont want to account for visibility range.
visibility_max = 4


# The (zero-based) indices 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.


# Sigmoid curve (S-curve) correction for the red, green and blue
# components, respectively, for each monitor. `None` means that
# no correct is should be applied. `...` means that the value
# above should be used.
sigmoid_red = [None]
sigmoid_green = [...]
sigmoid_blue = [...]


# 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_day = [None]
icc_video_filter_profile_night = [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)]
        f = f(m)
        
        # Use linear interpolation
        f = interpolate_function(f, linearly_interpolate_ramp)
        # Use cubic interpolation
        #f = interpolate_function(f, cubicly_interpolate_ramp)
        # Use semitense cubic interpolation
        #f = interpolate_function(f, lambda *c : cubicly_interpolate_ramp(*c, tension = 0.5))
        # Use monotone cubic interpolation
        #f = interpolate_function(f, monotonicly_cubicly_interpolate_ramp)
        # Use semitense monotone cubic interpolation
        #f = interpolate_function(f, lambda *c : monotonicly_cubicly_interpolate_ramp(*c, tension = 0.5))
        # Otherwise use nearest-neighbour
        
        current_calibration[i] = f


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
'''


reset_on_error = True
'''
:bool  Whether to reset the colour curves if the configuration script
       runs into an exception that it did not handle
'''


# Get --reset from Blueshift ad-hoc settigns
doreset = parser.opts['--reset']


last_dayness, last_metar = None, None
sigmoid_ = list(zip(sigmoid_red, sigmoid_green, sigmoid_blue))
icc_video_filter_profile = [None] * len(icc_video_filter_profile_day)
def periodically(year, month, day, hour, minute, second, weekday, fade):
    '''
    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, last_metar, wait_period
    
    dayness = get_dayness()
    
    if airport is not None:
        # Get weather report.
        (metar, last_time) = (None, None) if last_metar is None else last_metar
        now_time = minute
        if (metar is None) or (now_time < last_time) or (last_time < now_time + 5):
            metar = weather(airport, download_command)
            last_metar = (metar, now_time)
        
        # Account for weather.
        if metar is not None:
            conditions = [metar[0]] + metar[2]
            for condition in conditions:
                if condition in weather_modifiers:
                    dayness *= weather_modifiers[condition]
            if metar[1] is not None:
                (_bound, visibility) = metar[1]
                if (visibility_max is not None) and (visibility is not None):
                    if visibility < visibility_max:
                        dayness *= visibility / visibility_max
    
    # 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_day[i] is not None:
            if icc_video_filter_profile[i] is None:
                day = load_icc(icc_video_filter_profile_day[i])
                night = load_icc(icc_video_filter_profile_night[i])
                icc_video_filter_profile[i] = make_icc_interpolation([night, day])
            icc_video_filter_profile[i](dayness, 1 if fade is None else abs(fade))
        
        # 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 : clip_whitepoint(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 sigmoid curve correction to monitor.
        sigmoid(*(sigmoid_[m % len(sigmoid_)]))
        
        # 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):
                f = load_icc(icc_calibration_profile[i])
                
                # Use linear interpolation
                f = interpolate_function(f, linearly_interpolate_ramp)
                # Use cubic interpolation
                #f = interpolate_function(f, cubicly_interpolate_ramp)
                # Use semitense cubic interpolation
                #f = interpolate_function(f, lambda *c : cubicly_interpolate_ramp(*c, tension = 0.5))
                # Use monotone cubic interpolation
                #f = interpolate_function(f, monotonicly_cubicly_interpolate_ramp)
                # Use semitense monotone cubic interpolation
                #f = interpolate_function(f, lambda *c : monotonicly_cubicly_interpolate_ramp(*c, tension = 0.5))
                # Otherwise use nearest-neighbour
                
                icc_calibration_profile[i] = f
            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