# Quick benchmark of clearing a displayio Bitmap using for loops

# See https://github.com/adafruit/circuitpython/issues/2688

import time
import board, displayio

WIDTH = 201
HEIGHT = 200

display = board.DISPLAY

# eight colours is 3 bits per pixel when packed
bitmap = displayio.Bitmap(WIDTH, HEIGHT, 8)

palette = displayio.Palette(8)
palette[0] = 0x000000
palette[1] = 0xff0000
palette[2] = 0x00ff00
palette[3] = 0x0000ff

tile_grid = displayio.TileGrid(bitmap, pixel_shader=palette)
group = displayio.Group()
group.append(tile_grid)

display.auto_refresh=False
display.show(group)

def refresh_screen(disp):
    while True:
        refreshed = False
        try:
            refreshed = disp.refresh(minimum_frames_per_second=0)
        except Exception:
            pass
        if refreshed:
            break

def fillscreen1(bmp, col_idx):
    for x in range(WIDTH):
        for y in range(HEIGHT):
            bmp[x, y] = col_idx

def fillscreen2(bmp, col_idx):
    for y in range(HEIGHT):
        for x in range(WIDTH):
            bmp[x, y] = col_idx

def fillscreen3(bmp, col_idx):
    for idx in range(WIDTH * HEIGHT):
        bmp[idx] = col_idx

# "Big" Python has a timeit library but not present on CircuitPython
# so it's time for some for loops
for func in (fillscreen1, fillscreen2, fillscreen3):
    for _ in range(2):
        for colour_idx in (0, 0, 0, 1, 2, 3):
            t1 = time.monotonic_ns()
            func(bitmap, colour_idx)
            refresh_screen(display)
            t2 = time.monotonic_ns()
            func_name = str(func).split(" ")[1]
            print(func_name,
                  colour_idx,
                  "{:.3f}s".format((t2 - t1) / 1e9))
            time.sleep(0.5)

# Quick benchmark of clearing a displayio Bitmap using for loops

# See https://github.com/adafruit/circuitpython/issues/2688

import time
import board, displayio

WIDTH = 201
HEIGHT = 200

display = board.DISPLAY

# eight colours is 3 bits per pixel when packed
bitmap = displayio.Bitmap(WIDTH, HEIGHT, 8)

palette = displayio.Palette(8)
palette[0] = 0x000000
palette[1] = 0xff0000
palette[2] = 0x00ff00
palette[3] = 0x0000ff

tile_grid = displayio.TileGrid(bitmap, pixel_shader=palette)
group = displayio.Group()
group.append(tile_grid)

display.auto_refresh=False
display.show(group)

def refresh_screen(disp):
    while True:
        refreshed = False
        try:
            refreshed = disp.refresh(minimum_frames_per_second=0)
        except Exception:
            pass
        if refreshed:
            break

def fillscreen1(bmp, col_idx):
    for x in range(WIDTH):
        for y in range(HEIGHT):
            bmp[x, y] = col_idx

def fillscreen2(bmp, col_idx):
    for y in range(HEIGHT):
        for x in range(WIDTH):
            bmp[x, y] = col_idx

def fillscreen3(bmp, col_idx):
    for idx in range(WIDTH * HEIGHT):
        bmp[idx] = col_idx

# "Big" Python has a timeit library but not present on CircuitPython
# so it's time for some for loops
for func in (fillscreen1, fillscreen2, fillscreen3):
    for _ in range(2):
        for colour_idx in (0, 0, 0, 1, 2, 3):
            t1 = time.monotonic_ns()
            func(bitmap, colour_idx)
            refresh_screen(display)
            t2 = time.monotonic_ns()
            func_name = str(func).split(" ")[1]
            print(func_name,
                  colour_idx,
                  "{:.3f}s".format((t2 - t1) / 1e9))
            time.sleep(0.5)

fillscreen1 0 1.252s
fillscreen1 0 1.250s
fillscreen1 0 1.250s
fillscreen1 1 1.251s
fillscreen1 2 1.251s
fillscreen1 3 1.249s
fillscreen1 0 1.250s
fillscreen1 0 1.251s
fillscreen1 0 1.251s
fillscreen1 1 1.249s
fillscreen1 2 1.250s
fillscreen1 3 1.251s

fillscreen3 0 0.753s
fillscreen3 0 0.754s
fillscreen3 0 0.755s
fillscreen3 1 0.755s
fillscreen3 2 0.753s
fillscreen3 3 0.754s
fillscreen3 0 0.755s
fillscreen3 0 0.753s
fillscreen3 0 0.754s
fillscreen3 1 0.754s
fillscreen3 2 0.755s
fillscreen3 3 0.753s

fillscreen1 0 1.252s
fillscreen1 0 1.250s
fillscreen1 0 1.250s
fillscreen1 1 1.251s
fillscreen1 2 1.251s
fillscreen1 3 1.249s
fillscreen1 0 1.250s
fillscreen1 0 1.251s
fillscreen1 0 1.251s
fillscreen1 1 1.249s
fillscreen1 2 1.250s
fillscreen1 3 1.251s

fillscreen3 0 0.753s
fillscreen3 0 0.754s
fillscreen3 0 0.755s
fillscreen3 1 0.755s
fillscreen3 2 0.753s
fillscreen3 3 0.754s
fillscreen3 0 0.755s
fillscreen3 0 0.753s
fillscreen3 0 0.754s
fillscreen3 1 0.754s
fillscreen3 2 0.755s
fillscreen3 3 0.753s

# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# clue-plotter v1.14
# Sensor and input plotter for Adafruit CLUE in CircuitPython
# This plots the sensors and three of the analogue inputs on
# the LCD display either with scrolling or wrap mode which
# approximates a slow timebase oscilloscope, left button selects
# next source or with long press changes palette or longer press
# turns on output for Mu plotting, right button changes plot style

# Tested with an Adafruit CLUE (Alpha) and CircuitPython and 5.0.0

# copy this file to CLUE board as code.py
# needs companion plot_sensor.py and plotter.py files

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

import time

import gc
import board

from adafruit_clue import clue

from plotter import Plotter
# pylint: disable=unused-import
from plot_source import (
    PlotSource,
    TemperaturePlotSource,
    PressurePlotSource,
    HumidityPlotSource,
    ColorPlotSource,
    ProximityPlotSource,
    IlluminatedColorPlotSource,
    VolumePlotSource,
    AccelerometerPlotSource,
    GyroPlotSource,
    MagnetometerPlotSource,
    PinPlotSource,
)

debug = 1

# A list of all the data sources for plotting
# NOTE: Due to memory contraints, the total number of data sources
# is limited. Can try adding more until a memory limit is hit. At that
# point, decide what to keep and what to toss. Can comment/uncomment lines
# below as desired.
sources = [
    TemperaturePlotSource(clue, mode="Celsius"),
    #   TemperaturePlotSource(clue, mode="Fahrenheit"),
    PressurePlotSource(clue, mode="Metric"),
    #   PressurePlotSource(clue, mode="Imperial"),
    HumidityPlotSource(clue),
    ColorPlotSource(clue),
    ProximityPlotSource(clue),
    #   IlluminatedColorPlotSource(clue, mode="Red"),
    #   IlluminatedColorPlotSource(clue, mode="Green"),
    #   IlluminatedColorPlotSource(clue, mode="Blue"),
    #   IlluminatedColorPlotSource(clue, mode="Clear"),
    #   VolumePlotSource(clue),
    AccelerometerPlotSource(clue),
    #   GyroPlotSource(clue),
    #   MagnetometerPlotSource(clue),
    #   PinPlotSource([board.P0, board.P1, board.P2])
]
# The first source to select when plotting starts
current_source_idx = 0

# The various plotting styles - scroll is currently a jump scroll
stylemodes = (
    ("lines", "scroll"),  # draws lines between points
    ("lines", "wrap"),
    ("dots", "scroll"),  # just points - slightly quicker
    ("dots", "wrap"),
)
current_sm_idx = 0


def d_print(level, *args, **kwargs):
    """A simple conditional print for debugging based on global debug level."""
    if not isinstance(level, int):
        print(level, *args, **kwargs)
    elif debug >= level:
        print(*args, **kwargs)


def select_colors(plttr, src, def_palette):
    """Choose the colours based on the particular PlotSource
    or forcing use of default palette."""
    # otherwise use defaults
    channel_colidx = []
    palette = plttr.get_colors()
    colors = PlotSource.DEFAULT_COLORS if def_palette else src.colors()
    for col in colors:
        try:
            channel_colidx.append(palette.index(col))
        except ValueError:
            channel_colidx.append(PlotSource.DEFAULT_COLORS.index(col))
    return channel_colidx


def ready_plot_source(plttr, srcs, def_palette, index=0):
    """Select the plot source by index from srcs list and then setup the
    plot parameters by retrieving meta-data from the PlotSource object."""
    src = srcs[index]
    # Put the description of the source on screen at the top
    source_name = str(src)
    d_print(1, "Selecting source:", source_name)
    plttr.clear_all()
    plttr.title = source_name
    plttr.y_axis_lab = src.units()
    # The range on graph will start at this value
    plttr.y_range = (src.initial_min(), src.initial_max())
    plttr.y_min_range = src.range_min()
    # Sensor/data source is expected to produce data between these values
    plttr.y_full_range = (src.min(), src.max())
    channels_from_src = src.values()
    plttr.channels = channels_from_src  # Can be between 1 and 3
    plttr.channel_colidx = select_colors(plttr, src, def_palette)

    src.start()
    return (src, channels_from_src)


def wait_release(func, menu):
    """Calls func repeatedly waiting for it to return a false value
    and goes through menu list as time passes.

    The menu is a list of menu entries where each entry is a
    two element list of time passed in seconds and text to display
    for that period.
    The entries must be in ascending time order."""

    start_t_ns = time.monotonic_ns()
    menu_option = None
    selected = False

    for menu_option, menu_entry in enumerate(menu):
        menu_time_ns = start_t_ns + int(menu_entry[0] * 1e9)
        menu_text = menu_entry[1]
        if menu_text:
            plotter.info = menu_text
        while time.monotonic_ns() < menu_time_ns:
            if not func():
                selected = True
                break
        if menu_text:
            plotter.info = ""
        if selected:
            break

    return (menu_option, (time.monotonic_ns() - start_t_ns) * 1e-9)


def popup_text(plttr, text, duration=1.0):
    """Place some text on the screen using info property of Plotter object
    for duration seconds."""
    plttr.info = text
    time.sleep(duration)
    plttr.info = None


mu_plotter_output = False
range_lock = False

initial_title = "CLUE Plotter"
# displayio has some static limits on text - pre-calculate the maximum
# length of all of the different PlotSource objects
max_title_len = max(len(initial_title), max([len(str(so)) for so in sources]))
plotter = Plotter(
    board.DISPLAY,
    style=stylemodes[current_sm_idx][0],
    mode=stylemodes[current_sm_idx][1],
    title=initial_title,
    max_title_len=max_title_len,
    mu_output=mu_plotter_output,
    debug=debug,
)

# If set to true this forces use of colour blindness friendly colours
use_def_pal = False

clue.pixel[0] = clue.BLACK  # turn off the NeoPixel on the back of CLUE board

plotter.display_on()
# Using left and right here in case the CLUE is cased hiding A/B labels
popup_text(
    plotter,
    "\n".join(
        [
            "Button Guide",
            "Left: next source",
            "  2secs: palette",
            "  4s: Mu plot",
            "  6s: range lock",
            "Right: style change",
        ]
    ),
    duration=10,
)

count = 0

while True:
    # Set the source and start items
    (source, channels) = ready_plot_source(
        plotter, sources, use_def_pal, current_source_idx
    )

    while True:
        # Read data from sensor or voltage from pad
        all_data = source.data()

        # Check for left (A) and right (B) buttons
        if clue.button_a:
            # Wait for button release with time-based menu
            opt, _ = wait_release(
                lambda: clue.button_a,
                [
                    (2, "Next\nsource"),
                    (4, ("Source" if use_def_pal else "Default") + "\npalette"),
                    (6, "Mu output " + ("off" if mu_plotter_output else "on")),
                    (8, "Range lock\n" + ("off" if range_lock else "on")),
                ],
            )
            # pylint: disable=no-else-break
            if opt == 0:  # change plot source
                current_source_idx = (current_source_idx + 1) % len(sources)
                break  # to leave inner while and select the new source

            elif opt == 1:  # toggle palette
                use_def_pal = not use_def_pal
                plotter.channel_colidx = select_colors(plotter, source, use_def_pal)

            elif opt == 2:  # toggle Mu output
                mu_plotter_output = not mu_plotter_output
                plotter.mu_output = mu_plotter_output

            else:  # toggle range lock
                range_lock = not range_lock
                plotter.y_range_lock = range_lock

        if clue.button_b:  # change plot style and mode
            current_sm_idx = (current_sm_idx + 1) % len(stylemodes)
            (new_style, new_mode) = stylemodes[current_sm_idx]
            wait_release(lambda: clue.button_b, [(2, new_style + "\n" + new_mode)])
            d_print(1, "Graph change", new_style, new_mode)
            plotter.change_stylemode(new_style, new_mode)

        # Display it
        if channels == 1:
            plotter.data_add((all_data,))
        else:
            plotter.data_add(all_data)

        # An occasional print of free heap
        if debug >= 3 and count % 15 == 0:
            gc.collect()  # must collect() first to measure free memory
            print("Free memory:", gc.mem_free())

        count += 1

    source.stop()

plotter.display_off()

# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# clue-plotter v1.14
# Sensor and input plotter for Adafruit CLUE in CircuitPython
# This plots the sensors and three of the analogue inputs on
# the LCD display either with scrolling or wrap mode which
# approximates a slow timebase oscilloscope, left button selects
# next source or with long press changes palette or longer press
# turns on output for Mu plotting, right button changes plot style

# Tested with an Adafruit CLUE (Alpha) and CircuitPython and 5.0.0

# copy this file to CLUE board as code.py
# needs companion plot_sensor.py and plotter.py files

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

import time

import gc
import board

from adafruit_clue import clue

from plotter import Plotter
# pylint: disable=unused-import
from plot_source import (
    PlotSource,
    TemperaturePlotSource,
    PressurePlotSource,
    HumidityPlotSource,
    ColorPlotSource,
    ProximityPlotSource,
    IlluminatedColorPlotSource,
    VolumePlotSource,
    AccelerometerPlotSource,
    GyroPlotSource,
    MagnetometerPlotSource,
    PinPlotSource,
)

debug = 1

# A list of all the data sources for plotting
# NOTE: Due to memory contraints, the total number of data sources
# is limited. Can try adding more until a memory limit is hit. At that
# point, decide what to keep and what to toss. Can comment/uncomment lines
# below as desired.
sources = [
    TemperaturePlotSource(clue, mode="Celsius"),
    #   TemperaturePlotSource(clue, mode="Fahrenheit"),
    PressurePlotSource(clue, mode="Metric"),
    #   PressurePlotSource(clue, mode="Imperial"),
    HumidityPlotSource(clue),
    ColorPlotSource(clue),
    ProximityPlotSource(clue),
    #   IlluminatedColorPlotSource(clue, mode="Red"),
    #   IlluminatedColorPlotSource(clue, mode="Green"),
    #   IlluminatedColorPlotSource(clue, mode="Blue"),
    #   IlluminatedColorPlotSource(clue, mode="Clear"),
    #   VolumePlotSource(clue),
    AccelerometerPlotSource(clue),
    #   GyroPlotSource(clue),
    #   MagnetometerPlotSource(clue),
    #   PinPlotSource([board.P0, board.P1, board.P2])
]
# The first source to select when plotting starts
current_source_idx = 0

# The various plotting styles - scroll is currently a jump scroll
stylemodes = (
    ("lines", "scroll"),  # draws lines between points
    ("lines", "wrap"),
    ("dots", "scroll"),  # just points - slightly quicker
    ("dots", "wrap"),
)
current_sm_idx = 0


def d_print(level, *args, **kwargs):
    """A simple conditional print for debugging based on global debug level."""
    if not isinstance(level, int):
        print(level, *args, **kwargs)
    elif debug >= level:
        print(*args, **kwargs)


def select_colors(plttr, src, def_palette):
    """Choose the colours based on the particular PlotSource
    or forcing use of default palette."""
    # otherwise use defaults
    channel_colidx = []
    palette = plttr.get_colors()
    colors = PlotSource.DEFAULT_COLORS if def_palette else src.colors()
    for col in colors:
        try:
            channel_colidx.append(palette.index(col))
        except ValueError:
            channel_colidx.append(PlotSource.DEFAULT_COLORS.index(col))
    return channel_colidx


def ready_plot_source(plttr, srcs, def_palette, index=0):
    """Select the plot source by index from srcs list and then setup the
    plot parameters by retrieving meta-data from the PlotSource object."""
    src = srcs[index]
    # Put the description of the source on screen at the top
    source_name = str(src)
    d_print(1, "Selecting source:", source_name)
    plttr.clear_all()
    plttr.title = source_name
    plttr.y_axis_lab = src.units()
    # The range on graph will start at this value
    plttr.y_range = (src.initial_min(), src.initial_max())
    plttr.y_min_range = src.range_min()
    # Sensor/data source is expected to produce data between these values
    plttr.y_full_range = (src.min(), src.max())
    channels_from_src = src.values()
    plttr.channels = channels_from_src  # Can be between 1 and 3
    plttr.channel_colidx = select_colors(plttr, src, def_palette)

    src.start()
    return (src, channels_from_src)


def wait_release(func, menu):
    """Calls func repeatedly waiting for it to return a false value
    and goes through menu list as time passes.

    The menu is a list of menu entries where each entry is a
    two element list of time passed in seconds and text to display
    for that period.
    The entries must be in ascending time order."""

    start_t_ns = time.monotonic_ns()
    menu_option = None
    selected = False

    for menu_option, menu_entry in enumerate(menu):
        menu_time_ns = start_t_ns + int(menu_entry[0] * 1e9)
        menu_text = menu_entry[1]
        if menu_text:
            plotter.info = menu_text
        while time.monotonic_ns() < menu_time_ns:
            if not func():
                selected = True
                break
        if menu_text:
            plotter.info = ""
        if selected:
            break

    return (menu_option, (time.monotonic_ns() - start_t_ns) * 1e-9)


def popup_text(plttr, text, duration=1.0):
    """Place some text on the screen using info property of Plotter object
    for duration seconds."""
    plttr.info = text
    time.sleep(duration)
    plttr.info = None


mu_plotter_output = False
range_lock = False

initial_title = "CLUE Plotter"
# displayio has some static limits on text - pre-calculate the maximum
# length of all of the different PlotSource objects
max_title_len = max(len(initial_title), max([len(str(so)) for so in sources]))
plotter = Plotter(
    board.DISPLAY,
    style=stylemodes[current_sm_idx][0],
    mode=stylemodes[current_sm_idx][1],
    title=initial_title,
    max_title_len=max_title_len,
    mu_output=mu_plotter_output,
    debug=debug,
)

# If set to true this forces use of colour blindness friendly colours
use_def_pal = False

clue.pixel[0] = clue.BLACK  # turn off the NeoPixel on the back of CLUE board

plotter.display_on()
# Using left and right here in case the CLUE is cased hiding A/B labels
popup_text(
    plotter,
    "\n".join(
        [
            "Button Guide",
            "Left: next source",
            "  2secs: palette",
            "  4s: Mu plot",
            "  6s: range lock",
            "Right: style change",
        ]
    ),
    duration=10,
)

count = 0

while True:
    # Set the source and start items
    (source, channels) = ready_plot_source(
        plotter, sources, use_def_pal, current_source_idx
    )

    while True:
        # Read data from sensor or voltage from pad
        all_data = source.data()

        # Check for left (A) and right (B) buttons
        if clue.button_a:
            # Wait for button release with time-based menu
            opt, _ = wait_release(
                lambda: clue.button_a,
                [
                    (2, "Next\nsource"),
                    (4, ("Source" if use_def_pal else "Default") + "\npalette"),
                    (6, "Mu output " + ("off" if mu_plotter_output else "on")),
                    (8, "Range lock\n" + ("off" if range_lock else "on")),
                ],
            )
            # pylint: disable=no-else-break
            if opt == 0:  # change plot source
                current_source_idx = (current_source_idx + 1) % len(sources)
                break  # to leave inner while and select the new source

            elif opt == 1:  # toggle palette
                use_def_pal = not use_def_pal
                plotter.channel_colidx = select_colors(plotter, source, use_def_pal)

            elif opt == 2:  # toggle Mu output
                mu_plotter_output = not mu_plotter_output
                plotter.mu_output = mu_plotter_output

            else:  # toggle range lock
                range_lock = not range_lock
                plotter.y_range_lock = range_lock

        if clue.button_b:  # change plot style and mode
            current_sm_idx = (current_sm_idx + 1) % len(stylemodes)
            (new_style, new_mode) = stylemodes[current_sm_idx]
            wait_release(lambda: clue.button_b, [(2, new_style + "\n" + new_mode)])
            d_print(1, "Graph change", new_style, new_mode)
            plotter.change_stylemode(new_style, new_mode)

        # Display it
        if channels == 1:
            plotter.data_add((all_data,))
        else:
            plotter.data_add(all_data)

        # An occasional print of free heap
        if debug >= 3 and count % 15 == 0:
            gc.collect()  # must collect() first to measure free memory
            print("Free memory:", gc.mem_free())

        count += 1

    source.stop()

plotter.display_off()

# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

"""
`plot_source`
================================================================================
CircuitPython library for the clue-plotter application.

* Author(s): Kevin J. Walters

Implementation Notes
--------------------
**Hardware:**
* Adafruit CLUE <https://www.adafruit.com/product/4500>
**Software and Dependencies:**
* Adafruit's CLUE library: https://github.com/adafruit/Adafruit_CircuitPython_CLUE
"""

import math

import analogio


class PlotSource():
    """An abstract class for a sensor which returns the data from the sensor
       and provides some metadata useful for plotting.
       Sensors returning vector quanities like a 3-axis accelerometer are supported.
       When the source is used start() will be called and when it's not needed stop() will
       be called.

    :param values: Number of values returned by data method, between 1 and 3.
    :param name: Name of the sensor used to title the graph, only 17 characters fit on screen.
    :param units: Units for data used for y axis label.
    :param abs_min: Absolute minimum value for data, defaults to 0.
    :param abs_max: Absolute maximum value for data, defaults to 65535.
    :param initial_min: The initial minimum value suggested for y axis on graph,
           defaults to abs_min.
    :param initial_max: The initial maximum value suggested for y axis on graph,
           defaults to abs_max.
    :param range_min: A suggested minimum range to aid automatic y axis ranging.
    :param rate: The approximate rate in Hz that that data method returns in a tight loop.
    :param colors: A list of the suggested colors for data.
    :param debug: A numerical debug level, defaults to 0.
       """
    DEFAULT_COLORS = (0xffff00, 0x00ffff, 0xff0080)
    RGB_COLORS = (0xff0000, 0x00ff00, 0x0000ff)

    def __init__(self, values, name, units="",
                 abs_min=0, abs_max=65535, initial_min=None, initial_max=None,
                 range_min=None,
                 rate=None, colors=None, debug=0):
        if type(self) == PlotSource:  # pylint: disable=unidiomatic-typecheck
            raise TypeError("PlotSource must be subclassed")
        self._values = values
        self._name = name
        self._units = units
        self._abs_min = abs_min
        self._abs_max = abs_max
        self._initial_min = initial_min if initial_min is not None else abs_min
        self._initial_max = initial_max if initial_max is not None else abs_max
        if range_min is None:
            self._range_min = (abs_max - abs_min) / 100  # 1% of full range
        else:
            self._range_min = range_min
        self._rate = rate
        if colors is not None:
            self._colors = colors
        else:
            self._colors = self.DEFAULT_COLORS[:values]
        self._debug = debug

    def __str__(self):
        return self._name

    def data(self):
        """Data sample from the sensor.

           :return: A single numerical value or an array or tuple for vector values.
           """
        raise NotImplementedError()

    def min(self):
        return self._abs_min

    def max(self):
        return self._abs_max

    def initial_min(self):
        return self._initial_min

    def initial_max(self):
        return self._initial_max

    def range_min(self):
        return self._range_min

    def start(self):
        pass

    def stop(self):
        pass

    def values(self):
        return self._values

    def units(self):
        return self._units

    def rate(self):
        return self._rate

    def colors(self):
        return self._colors


# This over-reads presumably due to electronics warming the board
# It also looks odd on close inspection as it climbs about 0.1C if
# it's read frequently
# Data sheet say operating temperature is -40C to 85C
class TemperaturePlotSource(PlotSource):
    def _convert(self, value):
        return value * self._scale + self._offset

    def __init__(self, my_clue, mode="Celsius"):
        self._clue = my_clue
        range_min = 0.8
        if mode[0].lower() == "f":
            mode_name = "Fahrenheit"
            self._scale = 1.8
            self._offset = 32.0
            range_min = 1.6
        elif mode[0].lower() == "k":
            mode_name = "Kelvin"
            self._scale = 1.0
            self._offset = 273.15
        else:
            mode_name = "Celsius"
            self._scale = 1.0
            self._offset = 0.0
        super().__init__(1, "Temperature",
                         units=mode_name[0],
                         abs_min=self._convert(-40),
                         abs_max=self._convert(85),
                         initial_min=self._convert(10),
                         initial_max=self._convert(40),
                         range_min=range_min,
                         rate=24)

    def data(self):
        return self._convert(self._clue.temperature)


# The 300, 1100 values are in adafruit_bmp280 but are private variables
class PressurePlotSource(PlotSource):
    def _convert(self, value):
        return value * self._scale

    def __init__(self, my_clue, mode="M"):
        self._clue = my_clue
        if mode[0].lower() == "i":
            # 29.92 inches mercury equivalent to 1013.25mb in ISA
            self._scale = 29.92 / 1013.25
            units = "inHg"
            range_min = 0.04
        else:
            self._scale = 1.0
            units = "hPa"  # AKA millibars (mb)
            range_min = 1

        super().__init__(1, "Pressure", units=units,
                         abs_min=self._convert(300), abs_max=self._convert(1100),
                         initial_min=self._convert(980), initial_max=self._convert(1040),
                         range_min=range_min,
                         rate=22)

    def data(self):
        return self._convert(self._clue.pressure)


class ProximityPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(1, "Proximity",
                         abs_min=0, abs_max=255,
                         rate=720)

    def data(self):
        return self._clue.proximity


class HumidityPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(1, "Rel. Humidity", units="%",
                         abs_min=0, abs_max=100, initial_min=20, initial_max=60,
                         rate=54)

    def data(self):
        return self._clue.humidity

# If clue.touch_N has not been used then it doesn't instantiate
# the TouchIn object so there's no problem with creating an AnalogIn...
class PinPlotSource(PlotSource):
    def __init__(self, pin):
        try:
            pins = [p for p in pin]
        except TypeError:
            pins = [pin]

        self._pins = pins
        self._analogin = [analogio.AnalogIn(p) for p in pins]
        # Assumption here that reference_voltage is same for all
        # 3.3V graphs nicely with rounding up to 4.0V
        self._reference_voltage = self._analogin[0].reference_voltage
        self._conversion_factor = self._reference_voltage / (2**16 - 1)
        super().__init__(len(pins),
                         "Pad: " + ", ".join([str(p).split('.')[-1] for p in pins]),
                         units="V",
                         abs_min=0.0, abs_max=math.ceil(self._reference_voltage),
                         rate=10000)

    def data(self):
        if len(self._analogin) == 1:
            return self._analogin[0].value * self._conversion_factor
        else:
            return tuple([ana.value * self._conversion_factor
                          for ana in self._analogin])

    def pins(self):
        return self._pins


class ColorPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Color: R, G, B",
                         abs_min=0, abs_max=8000,  # 7169 looks like max
                         rate=50,
                         colors=self.RGB_COLORS,
                        )

    def data(self):
        (r, g, b, _) = self._clue.color  # fourth value is clear value
        return (r, g, b)

    def start(self):
        # These values will affect the maximum return value
        # Set APDS9660 to sample every (256 - 249 ) * 2.78 = 19.46ms
        # pylint: disable=protected-access
        self._clue._sensor.integration_time = 249  # 19.46ms, ~ 50Hz
        self._clue._sensor.color_gain = 0x02  # 16x (library default is 4x)


class IlluminatedColorPlotSource(PlotSource):
    def __init__(self, my_clue, mode="Clear"):
        self._clue = my_clue
        col_fl_lc = mode[0].lower()
        if col_fl_lc == "r":
            plot_colour = self.RGB_COLORS[0]
        elif col_fl_lc == "g":
            plot_colour = self.RGB_COLORS[1]
        elif col_fl_lc == "b":
            plot_colour = self.RGB_COLORS[2]
        elif col_fl_lc == "c":
            plot_colour = self.DEFAULT_COLORS[0]
        else:
            raise ValueError("Colour must be Red, Green, Blue or Clear")

        self._channel = col_fl_lc
        super().__init__(1, "Illum. color: " + self._channel.upper(),
                         abs_min=0, abs_max=8000,
                         initial_min=0, initial_max=2000,
                         colors=(plot_colour,),
                         rate=50)

    def data(self):
        (r, g, b, c) = self._clue.color
        if self._channel == "r":
            return r
        elif self._channel == "g":
            return g
        elif self._channel == "b":
            return b
        elif self._channel == "c":
            return c
        else:
            return None  # This should never happen

    def start(self):
        # Set APDS9660 to sample every (256 - 249 ) * 2.78 = 19.46ms
        # pylint: disable=protected-access
        self._clue._sensor.integration_time = 249  # 19.46ms, ~ 50Hz
        self._clue._sensor.color_gain = 0x03  # 64x (library default is 4x)

        self._clue.white_leds = True

    def stop(self):
        self._clue.white_leds = False


class VolumePlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(1, "Volume", units="dB",
                         abs_min=0, abs_max=97+3,   # 97dB is 16bit dynamic range
                         initial_min=10, initial_max=60,
                         rate=41)

    # 20 due to conversion of amplitude of signal
    _LN_CONVERSION_FACTOR = 20 / math.log(10)

    def data(self):
        return (math.log(self._clue.sound_level + 1)
                * self._LN_CONVERSION_FACTOR)


# This appears not to be a blocking read in terms of waiting for a
# a genuinely newvalue from the sensor
# CP standard says this should be radians per second but library
# currently returns degrees per second
# https://circuitpython.readthedocs.io/en/latest/docs/design_guide.html
# https://github.com/adafruit/Adafruit_CircuitPython_LSM6DS/issues/9
class GyroPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Gyro", units="dps",
                         abs_min=-287-13, abs_max=287+13,  # 286.703 appears to be max
                         initial_min=-100, initial_max=100,
                         colors=self.RGB_COLORS,
                         rate=500)

    def data(self):
        return self._clue.gyro


class AccelerometerPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Accelerometer", units="ms-2",
                         abs_min=-40, abs_max=40,  # 39.1992 approx max
                         initial_min=-20, initial_max=20,
                         colors=self.RGB_COLORS,
                         rate=500)

    def data(self):
        return self._clue.acceleration


class MagnetometerPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Magnetometer", units="uT",
                         abs_min=-479-21, abs_max=479+21,  # 478.866 approx max
                         initial_min=-80, initial_max=80,  # Earth around 60uT
                         colors=self.RGB_COLORS,
                         rate=500)

    def data(self):
        return self._clue.magnetic

# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

"""
`plot_source`
================================================================================
CircuitPython library for the clue-plotter application.

* Author(s): Kevin J. Walters

Implementation Notes
--------------------
**Hardware:**
* Adafruit CLUE <https://www.adafruit.com/product/4500>
**Software and Dependencies:**
* Adafruit's CLUE library: https://github.com/adafruit/Adafruit_CircuitPython_CLUE
"""

import math

import analogio


class PlotSource():
    """An abstract class for a sensor which returns the data from the sensor
       and provides some metadata useful for plotting.
       Sensors returning vector quanities like a 3-axis accelerometer are supported.
       When the source is used start() will be called and when it's not needed stop() will
       be called.

    :param values: Number of values returned by data method, between 1 and 3.
    :param name: Name of the sensor used to title the graph, only 17 characters fit on screen.
    :param units: Units for data used for y axis label.
    :param abs_min: Absolute minimum value for data, defaults to 0.
    :param abs_max: Absolute maximum value for data, defaults to 65535.
    :param initial_min: The initial minimum value suggested for y axis on graph,
           defaults to abs_min.
    :param initial_max: The initial maximum value suggested for y axis on graph,
           defaults to abs_max.
    :param range_min: A suggested minimum range to aid automatic y axis ranging.
    :param rate: The approximate rate in Hz that that data method returns in a tight loop.
    :param colors: A list of the suggested colors for data.
    :param debug: A numerical debug level, defaults to 0.
       """
    DEFAULT_COLORS = (0xffff00, 0x00ffff, 0xff0080)
    RGB_COLORS = (0xff0000, 0x00ff00, 0x0000ff)

    def __init__(self, values, name, units="",
                 abs_min=0, abs_max=65535, initial_min=None, initial_max=None,
                 range_min=None,
                 rate=None, colors=None, debug=0):
        if type(self) == PlotSource:  # pylint: disable=unidiomatic-typecheck
            raise TypeError("PlotSource must be subclassed")
        self._values = values
        self._name = name
        self._units = units
        self._abs_min = abs_min
        self._abs_max = abs_max
        self._initial_min = initial_min if initial_min is not None else abs_min
        self._initial_max = initial_max if initial_max is not None else abs_max
        if range_min is None:
            self._range_min = (abs_max - abs_min) / 100  # 1% of full range
        else:
            self._range_min = range_min
        self._rate = rate
        if colors is not None:
            self._colors = colors
        else:
            self._colors = self.DEFAULT_COLORS[:values]
        self._debug = debug

    def __str__(self):
        return self._name

    def data(self):
        """Data sample from the sensor.

           :return: A single numerical value or an array or tuple for vector values.
           """
        raise NotImplementedError()

    def min(self):
        return self._abs_min

    def max(self):
        return self._abs_max

    def initial_min(self):
        return self._initial_min

    def initial_max(self):
        return self._initial_max

    def range_min(self):
        return self._range_min

    def start(self):
        pass

    def stop(self):
        pass

    def values(self):
        return self._values

    def units(self):
        return self._units

    def rate(self):
        return self._rate

    def colors(self):
        return self._colors


# This over-reads presumably due to electronics warming the board
# It also looks odd on close inspection as it climbs about 0.1C if
# it's read frequently
# Data sheet say operating temperature is -40C to 85C
class TemperaturePlotSource(PlotSource):
    def _convert(self, value):
        return value * self._scale + self._offset

    def __init__(self, my_clue, mode="Celsius"):
        self._clue = my_clue
        range_min = 0.8
        if mode[0].lower() == "f":
            mode_name = "Fahrenheit"
            self._scale = 1.8
            self._offset = 32.0
            range_min = 1.6
        elif mode[0].lower() == "k":
            mode_name = "Kelvin"
            self._scale = 1.0
            self._offset = 273.15
        else:
            mode_name = "Celsius"
            self._scale = 1.0
            self._offset = 0.0
        super().__init__(1, "Temperature",
                         units=mode_name[0],
                         abs_min=self._convert(-40),
                         abs_max=self._convert(85),
                         initial_min=self._convert(10),
                         initial_max=self._convert(40),
                         range_min=range_min,
                         rate=24)

    def data(self):
        return self._convert(self._clue.temperature)


# The 300, 1100 values are in adafruit_bmp280 but are private variables
class PressurePlotSource(PlotSource):
    def _convert(self, value):
        return value * self._scale

    def __init__(self, my_clue, mode="M"):
        self._clue = my_clue
        if mode[0].lower() == "i":
            # 29.92 inches mercury equivalent to 1013.25mb in ISA
            self._scale = 29.92 / 1013.25
            units = "inHg"
            range_min = 0.04
        else:
            self._scale = 1.0
            units = "hPa"  # AKA millibars (mb)
            range_min = 1

        super().__init__(1, "Pressure", units=units,
                         abs_min=self._convert(300), abs_max=self._convert(1100),
                         initial_min=self._convert(980), initial_max=self._convert(1040),
                         range_min=range_min,
                         rate=22)

    def data(self):
        return self._convert(self._clue.pressure)


class ProximityPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(1, "Proximity",
                         abs_min=0, abs_max=255,
                         rate=720)

    def data(self):
        return self._clue.proximity


class HumidityPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(1, "Rel. Humidity", units="%",
                         abs_min=0, abs_max=100, initial_min=20, initial_max=60,
                         rate=54)

    def data(self):
        return self._clue.humidity

# If clue.touch_N has not been used then it doesn't instantiate
# the TouchIn object so there's no problem with creating an AnalogIn...
class PinPlotSource(PlotSource):
    def __init__(self, pin):
        try:
            pins = [p for p in pin]
        except TypeError:
            pins = [pin]

        self._pins = pins
        self._analogin = [analogio.AnalogIn(p) for p in pins]
        # Assumption here that reference_voltage is same for all
        # 3.3V graphs nicely with rounding up to 4.0V
        self._reference_voltage = self._analogin[0].reference_voltage
        self._conversion_factor = self._reference_voltage / (2**16 - 1)
        super().__init__(len(pins),
                         "Pad: " + ", ".join([str(p).split('.')[-1] for p in pins]),
                         units="V",
                         abs_min=0.0, abs_max=math.ceil(self._reference_voltage),
                         rate=10000)

    def data(self):
        if len(self._analogin) == 1:
            return self._analogin[0].value * self._conversion_factor
        else:
            return tuple([ana.value * self._conversion_factor
                          for ana in self._analogin])

    def pins(self):
        return self._pins


class ColorPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Color: R, G, B",
                         abs_min=0, abs_max=8000,  # 7169 looks like max
                         rate=50,
                         colors=self.RGB_COLORS,
                        )

    def data(self):
        (r, g, b, _) = self._clue.color  # fourth value is clear value
        return (r, g, b)

    def start(self):
        # These values will affect the maximum return value
        # Set APDS9660 to sample every (256 - 249 ) * 2.78 = 19.46ms
        # pylint: disable=protected-access
        self._clue._sensor.integration_time = 249  # 19.46ms, ~ 50Hz
        self._clue._sensor.color_gain = 0x02  # 16x (library default is 4x)


class IlluminatedColorPlotSource(PlotSource):
    def __init__(self, my_clue, mode="Clear"):
        self._clue = my_clue
        col_fl_lc = mode[0].lower()
        if col_fl_lc == "r":
            plot_colour = self.RGB_COLORS[0]
        elif col_fl_lc == "g":
            plot_colour = self.RGB_COLORS[1]
        elif col_fl_lc == "b":
            plot_colour = self.RGB_COLORS[2]
        elif col_fl_lc == "c":
            plot_colour = self.DEFAULT_COLORS[0]
        else:
            raise ValueError("Colour must be Red, Green, Blue or Clear")

        self._channel = col_fl_lc
        super().__init__(1, "Illum. color: " + self._channel.upper(),
                         abs_min=0, abs_max=8000,
                         initial_min=0, initial_max=2000,
                         colors=(plot_colour,),
                         rate=50)

    def data(self):
        (r, g, b, c) = self._clue.color
        if self._channel == "r":
            return r
        elif self._channel == "g":
            return g
        elif self._channel == "b":
            return b
        elif self._channel == "c":
            return c
        else:
            return None  # This should never happen

    def start(self):
        # Set APDS9660 to sample every (256 - 249 ) * 2.78 = 19.46ms
        # pylint: disable=protected-access
        self._clue._sensor.integration_time = 249  # 19.46ms, ~ 50Hz
        self._clue._sensor.color_gain = 0x03  # 64x (library default is 4x)

        self._clue.white_leds = True

    def stop(self):
        self._clue.white_leds = False


class VolumePlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(1, "Volume", units="dB",
                         abs_min=0, abs_max=97+3,   # 97dB is 16bit dynamic range
                         initial_min=10, initial_max=60,
                         rate=41)

    # 20 due to conversion of amplitude of signal
    _LN_CONVERSION_FACTOR = 20 / math.log(10)

    def data(self):
        return (math.log(self._clue.sound_level + 1)
                * self._LN_CONVERSION_FACTOR)


# This appears not to be a blocking read in terms of waiting for a
# a genuinely newvalue from the sensor
# CP standard says this should be radians per second but library
# currently returns degrees per second
# https://circuitpython.readthedocs.io/en/latest/docs/design_guide.html
# https://github.com/adafruit/Adafruit_CircuitPython_LSM6DS/issues/9
class GyroPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Gyro", units="dps",
                         abs_min=-287-13, abs_max=287+13,  # 286.703 appears to be max
                         initial_min=-100, initial_max=100,
                         colors=self.RGB_COLORS,
                         rate=500)

    def data(self):
        return self._clue.gyro


class AccelerometerPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Accelerometer", units="ms-2",
                         abs_min=-40, abs_max=40,  # 39.1992 approx max
                         initial_min=-20, initial_max=20,
                         colors=self.RGB_COLORS,
                         rate=500)

    def data(self):
        return self._clue.acceleration


class MagnetometerPlotSource(PlotSource):
    def __init__(self, my_clue):
        self._clue = my_clue
        super().__init__(3, "Magnetometer", units="uT",
                         abs_min=-479-21, abs_max=479+21,  # 478.866 approx max
                         initial_min=-80, initial_max=80,  # Earth around 60uT
                         colors=self.RGB_COLORS,
                         rate=500)

    def data(self):
        return self._clue.magnetic

# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

"""
`plotter`
================================================================================
CircuitPython library for the clue-plotter application's plotting facilties.
Internally this holds some values in a circular buffer to enable redrawing
and has some basic statistics on data.
Not intended to be a truly general purpose plotter but perhaps could be
developed into one.

* Author(s): Kevin J. Walters

Implementation Notes
--------------------
**Hardware:**
* Adafruit CLUE <https://www.adafruit.com/product/4500>
**Software and Dependencies:**
* Adafruit's CLUE library: https://github.com/adafruit/Adafruit_CircuitPython_CLUE
"""

import time
import array

import displayio
import terminalio

from adafruit_display_text.bitmap_label import Label


def mapf(value, in_min, in_max, out_min, out_max):
    return (value - in_min) * (out_max - out_min) / (in_max - in_min) + out_min


# This creates ('{:.0f}', '{:.1f}', '{:.2f}', etc
_FMT_DEC_PLACES = tuple("{:." + str(x) + "f}" for x in range(10))


def format_width(nchars, value):
    """Simple attempt to generate a value within nchars characters.
    Return value can be too long, e.g. for nchars=5, bad things happen
    with values > 99999 or < -9999 or < -99.9."""
    neg_format = _FMT_DEC_PLACES[nchars - 3]
    pos_format = _FMT_DEC_PLACES[nchars - 2]
    if value <= -10.0:
        text_value = neg_format.format(value)  # may overflow width
    elif value < 0.0:
        text_value = neg_format.format(value)
    elif value >= 10.0:
        text_value = pos_format.format(value)  # may overflow width
    else:
        text_value = pos_format.format(value)  # 0.0 to 9.99999
    return text_value


class Plotter:
    _DEFAULT_SCALE_MODE = {"lines": "onscroll", "dots": "screen"}

    # Palette for plotting, first one is set transparent
    TRANSPARENT_IDX = 0
    # Removed one colour to get number down to 8 for more efficient
    # bit-packing in displayio's Bitmap
    _PLOT_COLORS = (
        0x000000,
        0x0000FF,
        0x00FF00,
        0x00FFFF,
        0xFF0000,
        # 0xff00ff,
        0xFFFF00,
        0xFFFFFF,
        0xFF0080,
    )

    POS_INF = float("inf")
    NEG_INF = float("-inf")

    # Approximate number of seconds to review data for zooming in
    # and how often to do that check
    ZOOM_IN_TIME = 8
    ZOOM_IN_CHECK_TIME_NS = 5 * 1e9
    # 20% headroom either side on zoom in/out
    ZOOM_HEADROOM = 20 / 100

    GRID_COLOR = 0x308030
    GRID_DOT_SPACING = 8

    _GRAPH_TOP = 30  # y position for the graph placement

    INFO_FG_COLOR = 0x000080
    INFO_BG_COLOR = 0xC0C000
    LABEL_COLOR = 0xC0C0C0

    def _display_manual(self):
        """Intention was to disable auto_refresh here but this needs a
        simple displayio refresh to work well."""
        self._output.auto_refresh = True

    def _display_auto(self):
        self._output.auto_refresh = True

    def _display_refresh(self):
        """Intention was to call self._output.refresh() but this does not work well
        as current implementation is designed with a fixed frame rate in mind."""
        if self._output.auto_refresh:
            return True
        else:
            return True

    def __init__(
        self,
        output,
        style="lines",
        mode="scroll",
        scale_mode=None,
        screen_width=240,
        screen_height=240,
        plot_width=192,
        plot_height=201,
        x_divs=4,
        y_divs=4,
        scroll_px=50,
        max_channels=3,
        est_rate=50,
        title="",
        max_title_len=20,
        mu_output=False,
        debug=0,
    ):
        """scroll_px of greater than 1 gives a jump scroll."""
        # pylint: disable=too-many-locals,too-many-statements
        self._output = output
        self.change_stylemode(style, mode, scale_mode=scale_mode, clear=False)
        self._screen_width = screen_width
        self._screen_height = screen_height
        self._plot_width = plot_width
        self._plot_height = plot_height
        self._plot_height_m1 = plot_height - 1
        self._x_divs = x_divs
        self._y_divs = y_divs
        self._scroll_px = scroll_px
        self._max_channels = max_channels
        self._est_rate = est_rate
        self._title = title
        self._max_title_len = max_title_len

        # These arrays are used to provide a circular buffer
        # with _data_values valid values - this needs to be sized
        # one larger than screen width to retrieve prior y position
        # for line undrawing in wrap mode
        self._data_size = self._plot_width + 1
        self._data_y_pos = []
        self._data_value = []
        for _ in range(self._max_channels):
            # 'i' is 32 bit signed integer
            self._data_y_pos.append(array.array("i", [0] * self._data_size))
            self._data_value.append(array.array("f", [0.0] * self._data_size))

        # begin-keep-pylint-happy
        self._data_mins = None
        self._data_maxs = None
        self._data_stats_maxlen = None
        self._data_stats = None
        self._values = None
        self._data_values = None
        self._x_pos = None
        self._data_idx = None
        self._plot_lastzoom_ns = None
        # end-keep-pylint-happy
        self._init_data()

        self._mu_output = mu_output
        self._debug = debug

        self._channels = None
        self._channel_colidx = []

        # The range the data source generates within
        self._abs_min = None
        self._abs_max = None

        # The current plot min/max
        self._plot_min = None
        self._plot_max = None
        self._plot_min_range = None  # Used partly to prevent div by zero
        self._plot_range_lock = False
        self._plot_dirty = False  # flag indicate some data has been plotted

        self._font = terminalio.FONT
        self._y_axis_lab = ""
        self._y_lab_width = 6  # maximum characters for y axis label
        self._y_lab_color = self.LABEL_COLOR

        self._displayio_graph = None
        self._displayio_plot = None
        self._displayio_title = None
        self._displayio_info = None
        self._displayio_y_labs = None
        self._displayio_y_axis_lab = None
        self._last_manual_refresh = None

    def _init_data(self, ranges=True):
        # Allocate arrays for each possible channel with plot_width elements
        self._data_mins = [self.POS_INF]
        self._data_maxs = [self.NEG_INF]
        self._data_start_ns = [time.monotonic_ns()]
        self._data_stats_maxlen = 10

        # When in use the arrays in here are variable length
        self._data_stats = [[] * self._max_channels]

        self._values = 0  # total data processed
        self._data_values = 0  # valid elements in data_y_pos and data_value
        self._x_pos = 0
        self._data_idx = 0

        self._plot_lastzoom_ns = 0  # monotonic_ns() for last zoom in
        if ranges:
            self._plot_min = None
            self._plot_max = None
            self._plot_min_range = None  # Used partly to prevent div by zero
        self._plot_dirty = False  # flag indicate some data has been plotted

    def _recalc_y_pos(self):
        """Recalculates _data_y_pos based on _data_value for changes in y scale."""
        # Check if nothing to do - important since _plot_min _plot_max not yet set
        if self._data_values == 0:
            return

        for ch_idx in range(self._channels):
            # intentional use of negative array indexing
            for data_idx in range(
                self._data_idx - 1, self._data_idx - 1 - self._data_values, -1
            ):
                self._data_y_pos[ch_idx][data_idx] = round(
                    mapf(
                        self._data_value[ch_idx][data_idx],
                        self._plot_min,
                        self._plot_max,
                        self._plot_height_m1,
                        0,
                    )
                )

    def get_colors(self):
        return self._PLOT_COLORS

    def clear_all(self, ranges=True):
        if self._values != 0:
            self._undraw_bitmap()
        self._init_data(ranges=ranges)

    # Simple implementation here is to clear the screen on change...
    def change_stylemode(self, style, mode, scale_mode=None, clear=True):
        if style not in ("lines", "dots"):
            raise ValueError("style not lines or dots")
        if mode not in ("scroll", "wrap"):
            raise ValueError("mode not scroll or wrap")
        if scale_mode is None:
            scale_mode = self._DEFAULT_SCALE_MODE[style]
        elif scale_mode not in ("pixel", "onscroll", "screen", "time"):
            raise ValueError("scale_mode not pixel, onscroll, screen or time")

        # Clearing everything on screen and everything stored in variables
        # apart from plot ranges is simplest approach here - clearing
        # involves undrawing which uses the self._style so must not change
        # that beforehand
        if clear:
            self.clear_all(ranges=False)

        self._style = style
        self._mode = mode
        self._scale_mode = scale_mode

        if self._mode == "wrap":
            self._display_auto()
        elif self._mode == "scroll":
            self._display_manual()

    def _make_empty_tg_plot_bitmap(self):
        plot_bitmap = displayio.Bitmap(
            self._plot_width, self._plot_height, len(self._PLOT_COLORS)
        )
        # Create a colour palette for plot dots/lines
        plot_palette = displayio.Palette(len(self._PLOT_COLORS))

        for idx in range(len(self._PLOT_COLORS)):
            plot_palette[idx] = self._PLOT_COLORS[idx]
        plot_palette.make_transparent(0)
        tg_plot_data = displayio.TileGrid(plot_bitmap, pixel_shader=plot_palette)
        tg_plot_data.x = self._screen_width - self._plot_width - 1
        tg_plot_data.y = self._GRAPH_TOP
        return (tg_plot_data, plot_bitmap)

    def _make_tg_grid(self):
        # pylint: disable=too-many-locals
        grid_width = self._plot_width
        grid_height = self._plot_height_m1
        div_width = self._plot_width // self._x_divs
        div_height = self._plot_height // self._y_divs
        a_plot_grid = displayio.Bitmap(div_width, div_height, 2)

        # Grid colours
        grid_palette = displayio.Palette(2)
        grid_palette.make_transparent(0)
        grid_palette[0] = 0x000000
        grid_palette[1] = self.GRID_COLOR

        # Horizontal line on grid rectangle
        for x in range(0, div_width, self.GRID_DOT_SPACING):
            a_plot_grid[x, 0] = 1

        # Vertical line on grid rectangle
        for y in range(0, div_height, self.GRID_DOT_SPACING):
            a_plot_grid[0, y] = 1

        right_line = displayio.Bitmap(1, grid_height, 2)
        tg_right_line = displayio.TileGrid(right_line, pixel_shader=grid_palette)
        for y in range(0, grid_height, self.GRID_DOT_SPACING):
            right_line[0, y] = 1

        bottom_line = displayio.Bitmap(grid_width + 1, 1, 2)
        tg_bottom_line = displayio.TileGrid(bottom_line, pixel_shader=grid_palette)
        for x in range(0, grid_width + 1, self.GRID_DOT_SPACING):
            bottom_line[x, 0] = 1

        # Create a TileGrid using the Bitmap and Palette
        # and tiling it based on number of divisions required
        tg_plot_grid = displayio.TileGrid(
            a_plot_grid,
            pixel_shader=grid_palette,
            width=self._x_divs,
            height=self._y_divs,
            default_tile=0,
        )
        tg_plot_grid.x = self._screen_width - self._plot_width - 1
        tg_plot_grid.y = self._GRAPH_TOP
        tg_right_line.x = tg_plot_grid.x + grid_width
        tg_right_line.y = tg_plot_grid.y
        tg_bottom_line.x = tg_plot_grid.x
        tg_bottom_line.y = tg_plot_grid.y + grid_height

        g_plot_grid = displayio.Group()
        g_plot_grid.append(tg_plot_grid)
        g_plot_grid.append(tg_right_line)
        g_plot_grid.append(tg_bottom_line)

        return g_plot_grid

    def _make_empty_graph(self, tg_and_plot=None):
        font_w, font_h = self._font.get_bounding_box()

        self._displayio_title = Label(
            self._font,
            text=self._title,
            scale=2,
            line_spacing=1,
            color=self._y_lab_color,
        )
        self._displayio_title.x = self._screen_width - self._plot_width
        self._displayio_title.y = font_h // 1

        self._displayio_y_axis_lab = Label(
            self._font, text=self._y_axis_lab, line_spacing=1, color=self._y_lab_color
        )
        self._displayio_y_axis_lab.x = 0  # 0 works here because text is ""
        self._displayio_y_axis_lab.y = font_h // 1

        plot_y_labels = []
        # y increases top to bottom of screen
        for y_div in range(self._y_divs + 1):
            plot_y_labels.append(
                Label(
                    self._font,
                    text=" " * self._y_lab_width,
                    line_spacing=1,
                    color=self._y_lab_color,
                )
            )
            plot_y_labels[-1].x = (
                self._screen_width - self._plot_width - self._y_lab_width * font_w - 5
            )
            plot_y_labels[-1].y = (
                round(y_div * self._plot_height / self._y_divs) + self._GRAPH_TOP - 1
            )
        self._displayio_y_labs = plot_y_labels

        # Three items (grid, axis label, title) plus the y tick labels
        g_background = displayio.Group()
        g_background.append(self._make_tg_grid())
        for label in self._displayio_y_labs:
            g_background.append(label)
        g_background.append(self._displayio_y_axis_lab)
        g_background.append(self._displayio_title)

        if tg_and_plot is not None:
            (tg_plot, plot) = tg_and_plot
        else:
            (tg_plot, plot) = self._make_empty_tg_plot_bitmap()

        self._displayio_plot = plot

        # Create the main Group for display with one spare slot for
        # popup informational text
        main_group = displayio.Group()
        main_group.append(g_background)
        main_group.append(tg_plot)
        self._displayio_info = None

        return main_group

    def set_y_axis_tick_labels(self, y_min, y_max):
        px_per_div = (y_max - y_min) / self._y_divs
        for idx, tick_label in enumerate(self._displayio_y_labs):
            value = y_max - idx * px_per_div
            text_value = format_width(self._y_lab_width, value)
            tick_label.text = text_value[: self._y_lab_width]

    def display_on(self, tg_and_plot=None):
        if self._displayio_graph is None:
            self._displayio_graph = self._make_empty_graph(tg_and_plot=tg_and_plot)

        self._output.show(self._displayio_graph)

    def display_off(self):
        pass

    def _draw_vline(self, x1, y1, y2, colidx):
        """Draw a clipped vertical line at x1 from pixel one along from y1 to y2."""
        if y2 == y1:
            if 0 <= y2 <= self._plot_height_m1:
                self._displayio_plot[x1, y2] = colidx
            return

        # For y2 above y1, on screen this translates to being below
        step = 1 if y2 > y1 else -1

        for line_y_pos in range(
            max(0, min(y1 + step, self._plot_height_m1)),
            max(0, min(y2, self._plot_height_m1)) + step,
            step,
        ):
            self._displayio_plot[x1, line_y_pos] = colidx

    # def _clear_plot_bitmap(self):  ### woz here

    def _redraw_all_col_idx(self, col_idx_list):
        x_cols = min(self._data_values, self._plot_width)
        wrapMode = self._mode == "wrap"
        if wrapMode:
            x_data_idx = (self._data_idx - self._x_pos) % self._data_size
        else:
            x_data_idx = (self._data_idx - x_cols) % self._data_size

        for ch_idx in range(self._channels):
            col_idx = col_idx_list[ch_idx]
            data_idx = x_data_idx
            for x_pos in range(x_cols):
                # "jump" the gap in the circular buffer for wrap mode
                if wrapMode and x_pos == self._x_pos:
                    data_idx = (
                        data_idx + self._data_size - self._plot_width
                    ) % self._data_size
                    # ideally this should inhibit lines between wrapped data

                y_pos = self._data_y_pos[ch_idx][data_idx]
                if self._style == "lines" and x_pos != 0:
                    # Python supports negative array index
                    prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                    self._draw_vline(x_pos, prev_y_pos, y_pos, col_idx)
                else:
                    if 0 <= y_pos <= self._plot_height_m1:
                        self._displayio_plot[x_pos, y_pos] = col_idx
                data_idx += 1
                if data_idx >= self._data_size:
                    data_idx = 0

    # This is almost always going to be quicker
    # than the slow _clear_plot_bitmap implemented on 5.0.0 displayio
    def _undraw_bitmap(self):
        if not self._plot_dirty:
            return

        self._redraw_all_col_idx([self.TRANSPARENT_IDX] * self._channels)
        self._plot_dirty = False

    def _redraw_all(self):
        self._redraw_all_col_idx(self._channel_colidx)
        self._plot_dirty = True

    def _undraw_column(self, x_pos, data_idx):
        """Undraw a single column at x_pos based on data from data_idx."""
        colidx = self.TRANSPARENT_IDX
        for ch_idx in range(self._channels):
            y_pos = self._data_y_pos[ch_idx][data_idx]
            if self._style == "lines" and x_pos != 0:
                # Python supports negative array index
                prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                self._draw_vline(x_pos, prev_y_pos, y_pos, colidx)
            else:
                if 0 <= y_pos <= self._plot_height_m1:
                    self._displayio_plot[x_pos, y_pos] = colidx

    # very similar code to _undraw_bitmap although that is now
    # more sophisticated as it supports wrap mode
    def _redraw_for_scroll(self, x1, x2, x1_data_idx):
        """Redraw data from x1 to x2 inclusive for scroll mode only."""
        for ch_idx in range(self._channels):
            colidx = self._channel_colidx[ch_idx]
            data_idx = x1_data_idx
            for x_pos in range(x1, x2 + 1):
                y_pos = self._data_y_pos[ch_idx][data_idx]
                if self._style == "lines" and x_pos != 0:
                    # Python supports negative array index
                    prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                    self._draw_vline(x_pos, prev_y_pos, y_pos, colidx)
                else:
                    if 0 <= y_pos <= self._plot_height_m1:
                        self._displayio_plot[x_pos, y_pos] = colidx
                data_idx += 1
                if data_idx >= self._data_size:
                    data_idx = 0

        self._plot_dirty = True

    def _update_stats(self, values):
        """Update the statistics for minimum and maximum."""
        for idx, value in enumerate(values):
            # Occasionally check if we need to add a new bucket to stats
            if idx == 0 and self._values & 0xF == 0:
                now_ns = time.monotonic_ns()
                if now_ns - self._data_start_ns[-1] > 1e9:
                    self._data_start_ns.append(now_ns)
                    self._data_mins.append(value)
                    self._data_maxs.append(value)
                    # Remove the first elements if too long
                    if len(self._data_start_ns) > self._data_stats_maxlen:
                        self._data_start_ns.pop(0)
                        self._data_mins.pop(0)
                        self._data_maxs.pop(0)
                    continue

            if value < self._data_mins[-1]:
                self._data_mins[-1] = value
            if value > self._data_maxs[-1]:
                self._data_maxs[-1] = value

    def _data_store(self, values):
        """Store the data values in the circular buffer."""
        for ch_idx, value in enumerate(values):
            self._data_value[ch_idx][self._data_idx] = value

        # Increment the data index for circular buffer
        self._data_idx += 1
        if self._data_idx >= self._data_size:
            self._data_idx = 0

    def _data_draw(self, values, x_pos, data_idx):
        offscale = False

        for ch_idx, value in enumerate(values):
            # Last two parameters appear "swapped" - this deals with the
            # displayio screen y coordinate increasing downwards
            y_pos = round(
                mapf(value, self._plot_min, self._plot_max, self._plot_height_m1, 0)
            )

            if y_pos < 0 or y_pos >= self._plot_height:
                offscale = True

            self._data_y_pos[ch_idx][data_idx] = y_pos

            if self._style == "lines" and self._x_pos != 0:
                # Python supports negative array index
                prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                self._draw_vline(x_pos, prev_y_pos, y_pos, self._channel_colidx[ch_idx])
                self._plot_dirty = True  # bit wrong if whole line is off screen
            else:
                if not offscale:
                    self._displayio_plot[x_pos, y_pos] = self._channel_colidx[ch_idx]
                    self._plot_dirty = True

    def _check_zoom_in(self):
        """Check if recent data warrants zooming in on y axis scale based on checking
        minimum and maximum times which are recorded in approximate 1 second buckets.
        Returns two element tuple with (min, max) or empty tuple for no zoom required.
        Caution is required with min == max."""
        start_idx = len(self._data_start_ns) - self.ZOOM_IN_TIME
        if start_idx < 0:
            return ()

        now_ns = time.monotonic_ns()
        if now_ns < self._plot_lastzoom_ns + self.ZOOM_IN_CHECK_TIME_NS:
            return ()

        recent_min = min(self._data_mins[start_idx:])
        recent_max = max(self._data_maxs[start_idx:])
        recent_range = recent_max - recent_min
        headroom = recent_range * self.ZOOM_HEADROOM

        # No zoom if the range of data is near the plot range
        if (
            self._plot_min > recent_min - headroom
            and self._plot_max < recent_max + headroom
        ):
            return ()

        new_plot_min = max(recent_min - headroom, self._abs_min)
        new_plot_max = min(recent_max + headroom, self._abs_max)
        return (new_plot_min, new_plot_max)

    def _auto_plot_range(self, redraw_plot=True):
        """Check if we need to zoom out or in based on checking historical
        data values unless y_range_lock has been set.
        """
        if self._plot_range_lock:
            return False
        zoom_in = False
        zoom_out = False

        # Calcuate some new min/max values based on recentish data
        # and add some headroom
        y_min = min(self._data_mins)
        y_max = max(self._data_maxs)
        y_range = y_max - y_min
        headroom = y_range * self.ZOOM_HEADROOM
        new_plot_min = max(y_min - headroom, self._abs_min)
        new_plot_max = min(y_max + headroom, self._abs_max)

        # set new range if the data does not fit on the screen
        # this will also redo y tick labels if necessary
        if new_plot_min < self._plot_min or new_plot_max > self._plot_max:
            if self._debug >= 2:
                print("Zoom out")
            self._change_y_range(new_plot_min, new_plot_max, redraw_plot=redraw_plot)
            zoom_out = True

        else:  # otherwise check if zoom in is warranted
            rescale_zoom_range = self._check_zoom_in()
            if rescale_zoom_range:
                if self._debug >= 2:
                    print("Zoom in")
                self._change_y_range(
                    rescale_zoom_range[0],
                    rescale_zoom_range[1],
                    redraw_plot=redraw_plot,
                )
                zoom_in = True

        if zoom_in or zoom_out:
            self._plot_lastzoom_ns = time.monotonic_ns()
            return True
        return False

    def data_add(self, values):
        # pylint: disable=too-many-branches
        changed = False
        data_idx = self._data_idx
        x_pos = self._x_pos

        self._update_stats(values)

        if self._mode == "wrap":
            if self._x_pos == 0 or self._scale_mode == "pixel":
                changed = self._auto_plot_range(redraw_plot=False)

            # Undraw any previous data at current x position
            if (
                not changed
                and self._data_values >= self._plot_width
                and self._values >= self._plot_width
            ):
                self._undraw_column(self._x_pos, data_idx - self._plot_width)

        elif self._mode == "scroll":
            if x_pos >= self._plot_width:  # Fallen off x axis range?
                changed = self._auto_plot_range(redraw_plot=False)
                if not changed:
                    self._undraw_bitmap()  # Need to cls for the scroll

                sc_data_idx = (
                    data_idx + self._scroll_px - self._plot_width
                ) % self._data_size
                self._data_values -= self._scroll_px
                self._redraw_for_scroll(
                    0, self._plot_width - 1 - self._scroll_px, sc_data_idx
                )
                x_pos = self._plot_width - self._scroll_px

            elif self._scale_mode == "pixel":
                changed = self._auto_plot_range(redraw_plot=True)

        # Draw the new data
        self._data_draw(values, x_pos, data_idx)

        # Store the new values in circular buffer
        self._data_store(values)

        # increment x position dealing with wrap/scroll
        new_x_pos = x_pos + 1
        if new_x_pos >= self._plot_width:
            # fallen off edge so wrap or leave position
            # on last column for scroll
            if self._mode == "wrap":
                self._x_pos = 0
            else:
                self._x_pos = new_x_pos  # this is off screen
        else:
            self._x_pos = new_x_pos

        if self._data_values < self._data_size:
            self._data_values += 1

        self._values += 1

        if self._mu_output:
            print(values)

        # scrolling mode has automatic refresh in background turned off
        if self._mode == "scroll":
            self._display_refresh()

    def _change_y_range(self, new_plot_min, new_plot_max, redraw_plot=True):
        y_min = new_plot_min
        y_max = new_plot_max
        if self._debug >= 2:
            print("Change Y range", new_plot_min, new_plot_max, redraw_plot)

        # if values reduce range below the minimum then widen the range
        # but keep it within the absolute min/max values
        if self._plot_min_range is not None:
            range_extend = self._plot_min_range - (y_max - y_min)
            if range_extend > 0:
                y_max += range_extend / 2
                y_min -= range_extend / 2
                if y_min < self._abs_min:
                    y_min = self._abs_min
                    y_max = y_min + self._plot_min_range
                elif y_max > self._abs_max:
                    y_max = self._abs_max
                    y_min = y_max - self._plot_min_range

        self._plot_min = y_min
        self._plot_max = y_max
        self.set_y_axis_tick_labels(self._plot_min, self._plot_max)

        if self._values:
            self._undraw_bitmap()
            self._recalc_y_pos()  ## calculates new y positions
            if redraw_plot:
                self._redraw_all()

    @property
    def title(self):
        return self._title

    @title.setter
    def title(self, value):
        self._title = value[: self._max_title_len]  # does not show truncation
        self._displayio_title.text = self._title

    @property
    def info(self):
        if self._displayio_info is None:
            return None
        return self._displayio_info.text

    @info.setter
    def info(self, value):
        """Place some text on the screen.
        Multiple lines are supported with newline character.
        Font will be 3x standard terminalio font or 2x if that does not fit."""
        if self._displayio_info is not None:
            self._displayio_graph.pop()

        if value is not None and value != "":
            font_scale = 2
            line_spacing = 1

            font_w, font_h = self._font.get_bounding_box()
            text_lines = value.split("\n")
            max_word_chars = max([len(word) for word in text_lines])
            # If too large reduce the scale
            if (
                max_word_chars * font_scale * font_w > self._screen_width
                or len(text_lines) * font_scale * font_h * line_spacing
                > self._screen_height
            ):
                font_scale -= 1

            self._displayio_info = Label(
                self._font,
                text=value,
                line_spacing=line_spacing,
                scale=font_scale,
                background_color=self.INFO_FG_COLOR,
                color=self.INFO_BG_COLOR,
            )
            # centre the (left justified) text
            self._displayio_info.x = (
                self._screen_width - font_scale * font_w * max_word_chars
            ) // 2
            self._displayio_info.y = self._screen_height // 3
            self._displayio_graph.append(self._displayio_info)

        else:
            self._displayio_info = None

        if self._mode == "scroll":
            self._display_refresh()

    @property
    def channels(self):
        return self._channels

    @channels.setter
    def channels(self, value):
        if value > self._max_channels:
            raise ValueError("Exceeds max_channels")
        self._channels = value

    @property
    def y_range(self):
        return (self._plot_min, self._plot_max)

    @y_range.setter
    def y_range(self, minmax):
        if minmax[0] != self._plot_min or minmax[1] != self._plot_max:
            self._change_y_range(minmax[0], minmax[1], redraw_plot=True)

    @property
    def y_full_range(self):
        return (self._plot_min, self._plot_max)

    @y_full_range.setter
    def y_full_range(self, minmax):
        self._abs_min = minmax[0]
        self._abs_max = minmax[1]

    @property
    def y_min_range(self):
        return self._plot_min_range

    @y_min_range.setter
    def y_min_range(self, value):
        self._plot_min_range = value

    @property
    def y_axis_lab(self):
        return self._y_axis_lab

    @y_axis_lab.setter
    def y_axis_lab(self, text):
        self._y_axis_lab = text[: self._y_lab_width]
        font_w, _ = self._font.get_bounding_box()
        x_pos = (40 - font_w * len(self._y_axis_lab)) // 2
        # max() used to prevent negative (off-screen) values
        self._displayio_y_axis_lab.x = max(0, x_pos)
        self._displayio_y_axis_lab.text = self._y_axis_lab

    @property
    def channel_colidx(self):
        return self._channel_colidx

    @channel_colidx.setter
    def channel_colidx(self, value):
        # tuple() ensures object has a local / read-only copy of data
        self._channel_colidx = tuple(value)

    @property
    def mu_output(self):
        return self._mu_output

    @mu_output.setter
    def mu_output(self, value):
        self._mu_output = value

    @property
    def y_range_lock(self):
        return self._plot_range_lock

    @y_range_lock.setter
    def y_range_lock(self, value):
        self._plot_range_lock = value

# SPDX-FileCopyrightText: 2020 Kevin J Walters for Adafruit Industries
#
# SPDX-License-Identifier: MIT

# MIT License

# Copyright (c) 2020 Kevin J. Walters

# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

"""
`plotter`
================================================================================
CircuitPython library for the clue-plotter application's plotting facilties.
Internally this holds some values in a circular buffer to enable redrawing
and has some basic statistics on data.
Not intended to be a truly general purpose plotter but perhaps could be
developed into one.

* Author(s): Kevin J. Walters

Implementation Notes
--------------------
**Hardware:**
* Adafruit CLUE <https://www.adafruit.com/product/4500>
**Software and Dependencies:**
* Adafruit's CLUE library: https://github.com/adafruit/Adafruit_CircuitPython_CLUE
"""

import time
import array

import displayio
import terminalio

from adafruit_display_text.bitmap_label import Label


def mapf(value, in_min, in_max, out_min, out_max):
    return (value - in_min) * (out_max - out_min) / (in_max - in_min) + out_min


# This creates ('{:.0f}', '{:.1f}', '{:.2f}', etc
_FMT_DEC_PLACES = tuple("{:." + str(x) + "f}" for x in range(10))


def format_width(nchars, value):
    """Simple attempt to generate a value within nchars characters.
    Return value can be too long, e.g. for nchars=5, bad things happen
    with values > 99999 or < -9999 or < -99.9."""
    neg_format = _FMT_DEC_PLACES[nchars - 3]
    pos_format = _FMT_DEC_PLACES[nchars - 2]
    if value <= -10.0:
        text_value = neg_format.format(value)  # may overflow width
    elif value < 0.0:
        text_value = neg_format.format(value)
    elif value >= 10.0:
        text_value = pos_format.format(value)  # may overflow width
    else:
        text_value = pos_format.format(value)  # 0.0 to 9.99999
    return text_value


class Plotter:
    _DEFAULT_SCALE_MODE = {"lines": "onscroll", "dots": "screen"}

    # Palette for plotting, first one is set transparent
    TRANSPARENT_IDX = 0
    # Removed one colour to get number down to 8 for more efficient
    # bit-packing in displayio's Bitmap
    _PLOT_COLORS = (
        0x000000,
        0x0000FF,
        0x00FF00,
        0x00FFFF,
        0xFF0000,
        # 0xff00ff,
        0xFFFF00,
        0xFFFFFF,
        0xFF0080,
    )

    POS_INF = float("inf")
    NEG_INF = float("-inf")

    # Approximate number of seconds to review data for zooming in
    # and how often to do that check
    ZOOM_IN_TIME = 8
    ZOOM_IN_CHECK_TIME_NS = 5 * 1e9
    # 20% headroom either side on zoom in/out
    ZOOM_HEADROOM = 20 / 100

    GRID_COLOR = 0x308030
    GRID_DOT_SPACING = 8

    _GRAPH_TOP = 30  # y position for the graph placement

    INFO_FG_COLOR = 0x000080
    INFO_BG_COLOR = 0xC0C000
    LABEL_COLOR = 0xC0C0C0

    def _display_manual(self):
        """Intention was to disable auto_refresh here but this needs a
        simple displayio refresh to work well."""
        self._output.auto_refresh = True

    def _display_auto(self):
        self._output.auto_refresh = True

    def _display_refresh(self):
        """Intention was to call self._output.refresh() but this does not work well
        as current implementation is designed with a fixed frame rate in mind."""
        if self._output.auto_refresh:
            return True
        else:
            return True

    def __init__(
        self,
        output,
        style="lines",
        mode="scroll",
        scale_mode=None,
        screen_width=240,
        screen_height=240,
        plot_width=192,
        plot_height=201,
        x_divs=4,
        y_divs=4,
        scroll_px=50,
        max_channels=3,
        est_rate=50,
        title="",
        max_title_len=20,
        mu_output=False,
        debug=0,
    ):
        """scroll_px of greater than 1 gives a jump scroll."""
        # pylint: disable=too-many-locals,too-many-statements
        self._output = output
        self.change_stylemode(style, mode, scale_mode=scale_mode, clear=False)
        self._screen_width = screen_width
        self._screen_height = screen_height
        self._plot_width = plot_width
        self._plot_height = plot_height
        self._plot_height_m1 = plot_height - 1
        self._x_divs = x_divs
        self._y_divs = y_divs
        self._scroll_px = scroll_px
        self._max_channels = max_channels
        self._est_rate = est_rate
        self._title = title
        self._max_title_len = max_title_len

        # These arrays are used to provide a circular buffer
        # with _data_values valid values - this needs to be sized
        # one larger than screen width to retrieve prior y position
        # for line undrawing in wrap mode
        self._data_size = self._plot_width + 1
        self._data_y_pos = []
        self._data_value = []
        for _ in range(self._max_channels):
            # 'i' is 32 bit signed integer
            self._data_y_pos.append(array.array("i", [0] * self._data_size))
            self._data_value.append(array.array("f", [0.0] * self._data_size))

        # begin-keep-pylint-happy
        self._data_mins = None
        self._data_maxs = None
        self._data_stats_maxlen = None
        self._data_stats = None
        self._values = None
        self._data_values = None
        self._x_pos = None
        self._data_idx = None
        self._plot_lastzoom_ns = None
        # end-keep-pylint-happy
        self._init_data()

        self._mu_output = mu_output
        self._debug = debug

        self._channels = None
        self._channel_colidx = []

        # The range the data source generates within
        self._abs_min = None
        self._abs_max = None

        # The current plot min/max
        self._plot_min = None
        self._plot_max = None
        self._plot_min_range = None  # Used partly to prevent div by zero
        self._plot_range_lock = False
        self._plot_dirty = False  # flag indicate some data has been plotted

        self._font = terminalio.FONT
        self._y_axis_lab = ""
        self._y_lab_width = 6  # maximum characters for y axis label
        self._y_lab_color = self.LABEL_COLOR

        self._displayio_graph = None
        self._displayio_plot = None
        self._displayio_title = None
        self._displayio_info = None
        self._displayio_y_labs = None
        self._displayio_y_axis_lab = None
        self._last_manual_refresh = None

    def _init_data(self, ranges=True):
        # Allocate arrays for each possible channel with plot_width elements
        self._data_mins = [self.POS_INF]
        self._data_maxs = [self.NEG_INF]
        self._data_start_ns = [time.monotonic_ns()]
        self._data_stats_maxlen = 10

        # When in use the arrays in here are variable length
        self._data_stats = [[] * self._max_channels]

        self._values = 0  # total data processed
        self._data_values = 0  # valid elements in data_y_pos and data_value
        self._x_pos = 0
        self._data_idx = 0

        self._plot_lastzoom_ns = 0  # monotonic_ns() for last zoom in
        if ranges:
            self._plot_min = None
            self._plot_max = None
            self._plot_min_range = None  # Used partly to prevent div by zero
        self._plot_dirty = False  # flag indicate some data has been plotted

    def _recalc_y_pos(self):
        """Recalculates _data_y_pos based on _data_value for changes in y scale."""
        # Check if nothing to do - important since _plot_min _plot_max not yet set
        if self._data_values == 0:
            return

        for ch_idx in range(self._channels):
            # intentional use of negative array indexing
            for data_idx in range(
                self._data_idx - 1, self._data_idx - 1 - self._data_values, -1
            ):
                self._data_y_pos[ch_idx][data_idx] = round(
                    mapf(
                        self._data_value[ch_idx][data_idx],
                        self._plot_min,
                        self._plot_max,
                        self._plot_height_m1,
                        0,
                    )
                )

    def get_colors(self):
        return self._PLOT_COLORS

    def clear_all(self, ranges=True):
        if self._values != 0:
            self._undraw_bitmap()
        self._init_data(ranges=ranges)

    # Simple implementation here is to clear the screen on change...
    def change_stylemode(self, style, mode, scale_mode=None, clear=True):
        if style not in ("lines", "dots"):
            raise ValueError("style not lines or dots")
        if mode not in ("scroll", "wrap"):
            raise ValueError("mode not scroll or wrap")
        if scale_mode is None:
            scale_mode = self._DEFAULT_SCALE_MODE[style]
        elif scale_mode not in ("pixel", "onscroll", "screen", "time"):
            raise ValueError("scale_mode not pixel, onscroll, screen or time")

        # Clearing everything on screen and everything stored in variables
        # apart from plot ranges is simplest approach here - clearing
        # involves undrawing which uses the self._style so must not change
        # that beforehand
        if clear:
            self.clear_all(ranges=False)

        self._style = style
        self._mode = mode
        self._scale_mode = scale_mode

        if self._mode == "wrap":
            self._display_auto()
        elif self._mode == "scroll":
            self._display_manual()

    def _make_empty_tg_plot_bitmap(self):
        plot_bitmap = displayio.Bitmap(
            self._plot_width, self._plot_height, len(self._PLOT_COLORS)
        )
        # Create a colour palette for plot dots/lines
        plot_palette = displayio.Palette(len(self._PLOT_COLORS))

        for idx in range(len(self._PLOT_COLORS)):
            plot_palette[idx] = self._PLOT_COLORS[idx]
        plot_palette.make_transparent(0)
        tg_plot_data = displayio.TileGrid(plot_bitmap, pixel_shader=plot_palette)
        tg_plot_data.x = self._screen_width - self._plot_width - 1
        tg_plot_data.y = self._GRAPH_TOP
        return (tg_plot_data, plot_bitmap)

    def _make_tg_grid(self):
        # pylint: disable=too-many-locals
        grid_width = self._plot_width
        grid_height = self._plot_height_m1
        div_width = self._plot_width // self._x_divs
        div_height = self._plot_height // self._y_divs
        a_plot_grid = displayio.Bitmap(div_width, div_height, 2)

        # Grid colours
        grid_palette = displayio.Palette(2)
        grid_palette.make_transparent(0)
        grid_palette[0] = 0x000000
        grid_palette[1] = self.GRID_COLOR

        # Horizontal line on grid rectangle
        for x in range(0, div_width, self.GRID_DOT_SPACING):
            a_plot_grid[x, 0] = 1

        # Vertical line on grid rectangle
        for y in range(0, div_height, self.GRID_DOT_SPACING):
            a_plot_grid[0, y] = 1

        right_line = displayio.Bitmap(1, grid_height, 2)
        tg_right_line = displayio.TileGrid(right_line, pixel_shader=grid_palette)
        for y in range(0, grid_height, self.GRID_DOT_SPACING):
            right_line[0, y] = 1

        bottom_line = displayio.Bitmap(grid_width + 1, 1, 2)
        tg_bottom_line = displayio.TileGrid(bottom_line, pixel_shader=grid_palette)
        for x in range(0, grid_width + 1, self.GRID_DOT_SPACING):
            bottom_line[x, 0] = 1

        # Create a TileGrid using the Bitmap and Palette
        # and tiling it based on number of divisions required
        tg_plot_grid = displayio.TileGrid(
            a_plot_grid,
            pixel_shader=grid_palette,
            width=self._x_divs,
            height=self._y_divs,
            default_tile=0,
        )
        tg_plot_grid.x = self._screen_width - self._plot_width - 1
        tg_plot_grid.y = self._GRAPH_TOP
        tg_right_line.x = tg_plot_grid.x + grid_width
        tg_right_line.y = tg_plot_grid.y
        tg_bottom_line.x = tg_plot_grid.x
        tg_bottom_line.y = tg_plot_grid.y + grid_height

        g_plot_grid = displayio.Group()
        g_plot_grid.append(tg_plot_grid)
        g_plot_grid.append(tg_right_line)
        g_plot_grid.append(tg_bottom_line)

        return g_plot_grid

    def _make_empty_graph(self, tg_and_plot=None):
        font_w, font_h = self._font.get_bounding_box()

        self._displayio_title = Label(
            self._font,
            text=self._title,
            scale=2,
            line_spacing=1,
            color=self._y_lab_color,
        )
        self._displayio_title.x = self._screen_width - self._plot_width
        self._displayio_title.y = font_h // 1

        self._displayio_y_axis_lab = Label(
            self._font, text=self._y_axis_lab, line_spacing=1, color=self._y_lab_color
        )
        self._displayio_y_axis_lab.x = 0  # 0 works here because text is ""
        self._displayio_y_axis_lab.y = font_h // 1

        plot_y_labels = []
        # y increases top to bottom of screen
        for y_div in range(self._y_divs + 1):
            plot_y_labels.append(
                Label(
                    self._font,
                    text=" " * self._y_lab_width,
                    line_spacing=1,
                    color=self._y_lab_color,
                )
            )
            plot_y_labels[-1].x = (
                self._screen_width - self._plot_width - self._y_lab_width * font_w - 5
            )
            plot_y_labels[-1].y = (
                round(y_div * self._plot_height / self._y_divs) + self._GRAPH_TOP - 1
            )
        self._displayio_y_labs = plot_y_labels

        # Three items (grid, axis label, title) plus the y tick labels
        g_background = displayio.Group()
        g_background.append(self._make_tg_grid())
        for label in self._displayio_y_labs:
            g_background.append(label)
        g_background.append(self._displayio_y_axis_lab)
        g_background.append(self._displayio_title)

        if tg_and_plot is not None:
            (tg_plot, plot) = tg_and_plot
        else:
            (tg_plot, plot) = self._make_empty_tg_plot_bitmap()

        self._displayio_plot = plot

        # Create the main Group for display with one spare slot for
        # popup informational text
        main_group = displayio.Group()
        main_group.append(g_background)
        main_group.append(tg_plot)
        self._displayio_info = None

        return main_group

    def set_y_axis_tick_labels(self, y_min, y_max):
        px_per_div = (y_max - y_min) / self._y_divs
        for idx, tick_label in enumerate(self._displayio_y_labs):
            value = y_max - idx * px_per_div
            text_value = format_width(self._y_lab_width, value)
            tick_label.text = text_value[: self._y_lab_width]

    def display_on(self, tg_and_plot=None):
        if self._displayio_graph is None:
            self._displayio_graph = self._make_empty_graph(tg_and_plot=tg_and_plot)

        self._output.show(self._displayio_graph)

    def display_off(self):
        pass

    def _draw_vline(self, x1, y1, y2, colidx):
        """Draw a clipped vertical line at x1 from pixel one along from y1 to y2."""
        if y2 == y1:
            if 0 <= y2 <= self._plot_height_m1:
                self._displayio_plot[x1, y2] = colidx
            return

        # For y2 above y1, on screen this translates to being below
        step = 1 if y2 > y1 else -1

        for line_y_pos in range(
            max(0, min(y1 + step, self._plot_height_m1)),
            max(0, min(y2, self._plot_height_m1)) + step,
            step,
        ):
            self._displayio_plot[x1, line_y_pos] = colidx

    # def _clear_plot_bitmap(self):  ### woz here

    def _redraw_all_col_idx(self, col_idx_list):
        x_cols = min(self._data_values, self._plot_width)
        wrapMode = self._mode == "wrap"
        if wrapMode:
            x_data_idx = (self._data_idx - self._x_pos) % self._data_size
        else:
            x_data_idx = (self._data_idx - x_cols) % self._data_size

        for ch_idx in range(self._channels):
            col_idx = col_idx_list[ch_idx]
            data_idx = x_data_idx
            for x_pos in range(x_cols):
                # "jump" the gap in the circular buffer for wrap mode
                if wrapMode and x_pos == self._x_pos:
                    data_idx = (
                        data_idx + self._data_size - self._plot_width
                    ) % self._data_size
                    # ideally this should inhibit lines between wrapped data

                y_pos = self._data_y_pos[ch_idx][data_idx]
                if self._style == "lines" and x_pos != 0:
                    # Python supports negative array index
                    prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                    self._draw_vline(x_pos, prev_y_pos, y_pos, col_idx)
                else:
                    if 0 <= y_pos <= self._plot_height_m1:
                        self._displayio_plot[x_pos, y_pos] = col_idx
                data_idx += 1
                if data_idx >= self._data_size:
                    data_idx = 0

    # This is almost always going to be quicker
    # than the slow _clear_plot_bitmap implemented on 5.0.0 displayio
    def _undraw_bitmap(self):
        if not self._plot_dirty:
            return

        self._redraw_all_col_idx([self.TRANSPARENT_IDX] * self._channels)
        self._plot_dirty = False

    def _redraw_all(self):
        self._redraw_all_col_idx(self._channel_colidx)
        self._plot_dirty = True

    def _undraw_column(self, x_pos, data_idx):
        """Undraw a single column at x_pos based on data from data_idx."""
        colidx = self.TRANSPARENT_IDX
        for ch_idx in range(self._channels):
            y_pos = self._data_y_pos[ch_idx][data_idx]
            if self._style == "lines" and x_pos != 0:
                # Python supports negative array index
                prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                self._draw_vline(x_pos, prev_y_pos, y_pos, colidx)
            else:
                if 0 <= y_pos <= self._plot_height_m1:
                    self._displayio_plot[x_pos, y_pos] = colidx

    # very similar code to _undraw_bitmap although that is now
    # more sophisticated as it supports wrap mode
    def _redraw_for_scroll(self, x1, x2, x1_data_idx):
        """Redraw data from x1 to x2 inclusive for scroll mode only."""
        for ch_idx in range(self._channels):
            colidx = self._channel_colidx[ch_idx]
            data_idx = x1_data_idx
            for x_pos in range(x1, x2 + 1):
                y_pos = self._data_y_pos[ch_idx][data_idx]
                if self._style == "lines" and x_pos != 0:
                    # Python supports negative array index
                    prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                    self._draw_vline(x_pos, prev_y_pos, y_pos, colidx)
                else:
                    if 0 <= y_pos <= self._plot_height_m1:
                        self._displayio_plot[x_pos, y_pos] = colidx
                data_idx += 1
                if data_idx >= self._data_size:
                    data_idx = 0

        self._plot_dirty = True

    def _update_stats(self, values):
        """Update the statistics for minimum and maximum."""
        for idx, value in enumerate(values):
            # Occasionally check if we need to add a new bucket to stats
            if idx == 0 and self._values & 0xF == 0:
                now_ns = time.monotonic_ns()
                if now_ns - self._data_start_ns[-1] > 1e9:
                    self._data_start_ns.append(now_ns)
                    self._data_mins.append(value)
                    self._data_maxs.append(value)
                    # Remove the first elements if too long
                    if len(self._data_start_ns) > self._data_stats_maxlen:
                        self._data_start_ns.pop(0)
                        self._data_mins.pop(0)
                        self._data_maxs.pop(0)
                    continue

            if value < self._data_mins[-1]:
                self._data_mins[-1] = value
            if value > self._data_maxs[-1]:
                self._data_maxs[-1] = value

    def _data_store(self, values):
        """Store the data values in the circular buffer."""
        for ch_idx, value in enumerate(values):
            self._data_value[ch_idx][self._data_idx] = value

        # Increment the data index for circular buffer
        self._data_idx += 1
        if self._data_idx >= self._data_size:
            self._data_idx = 0

    def _data_draw(self, values, x_pos, data_idx):
        offscale = False

        for ch_idx, value in enumerate(values):
            # Last two parameters appear "swapped" - this deals with the
            # displayio screen y coordinate increasing downwards
            y_pos = round(
                mapf(value, self._plot_min, self._plot_max, self._plot_height_m1, 0)
            )

            if y_pos < 0 or y_pos >= self._plot_height:
                offscale = True

            self._data_y_pos[ch_idx][data_idx] = y_pos

            if self._style == "lines" and self._x_pos != 0:
                # Python supports negative array index
                prev_y_pos = self._data_y_pos[ch_idx][data_idx - 1]
                self._draw_vline(x_pos, prev_y_pos, y_pos, self._channel_colidx[ch_idx])
                self._plot_dirty = True  # bit wrong if whole line is off screen
            else:
                if not offscale:
                    self._displayio_plot[x_pos, y_pos] = self._channel_colidx[ch_idx]
                    self._plot_dirty = True

    def _check_zoom_in(self):
        """Check if recent data warrants zooming in on y axis scale based on checking
        minimum and maximum times which are recorded in approximate 1 second buckets.
        Returns two element tuple with (min, max) or empty tuple for no zoom required.
        Caution is required with min == max."""
        start_idx = len(self._data_start_ns) - self.ZOOM_IN_TIME
        if start_idx < 0:
            return ()

        now_ns = time.monotonic_ns()
        if now_ns < self._plot_lastzoom_ns + self.ZOOM_IN_CHECK_TIME_NS:
            return ()

        recent_min = min(self._data_mins[start_idx:])
        recent_max = max(self._data_maxs[start_idx:])
        recent_range = recent_max - recent_min
        headroom = recent_range * self.ZOOM_HEADROOM

        # No zoom if the range of data is near the plot range
        if (
            self._plot_min > recent_min - headroom
            and self._plot_max < recent_max + headroom
        ):
            return ()

        new_plot_min = max(recent_min - headroom, self._abs_min)
        new_plot_max = min(recent_max + headroom, self._abs_max)
        return (new_plot_min, new_plot_max)

    def _auto_plot_range(self, redraw_plot=True):
        """Check if we need to zoom out or in based on checking historical
        data values unless y_range_lock has been set.
        """
        if self._plot_range_lock:
            return False
        zoom_in = False
        zoom_out = False

        # Calcuate some new min/max values based on recentish data
        # and add some headroom
        y_min = min(self._data_mins)
        y_max = max(self._data_maxs)
        y_range = y_max - y_min
        headroom = y_range * self.ZOOM_HEADROOM
        new_plot_min = max(y_min - headroom, self._abs_min)
        new_plot_max = min(y_max + headroom, self._abs_max)

        # set new range if the data does not fit on the screen
        # this will also redo y tick labels if necessary
        if new_plot_min < self._plot_min or new_plot_max > self._plot_max:
            if self._debug >= 2:
                print("Zoom out")
            self._change_y_range(new_plot_min, new_plot_max, redraw_plot=redraw_plot)
            zoom_out = True

        else:  # otherwise check if zoom in is warranted
            rescale_zoom_range = self._check_zoom_in()
            if rescale_zoom_range:
                if self._debug >= 2:
                    print("Zoom in")
                self._change_y_range(
                    rescale_zoom_range[0],
                    rescale_zoom_range[1],
                    redraw_plot=redraw_plot,
                )
                zoom_in = True

        if zoom_in or zoom_out:
            self._plot_lastzoom_ns = time.monotonic_ns()
            return True
        return False

    def data_add(self, values):
        # pylint: disable=too-many-branches
        changed = False
        data_idx = self._data_idx
        x_pos = self._x_pos

        self._update_stats(values)

        if self._mode == "wrap":
            if self._x_pos == 0 or self._scale_mode == "pixel":
                changed = self._auto_plot_range(redraw_plot=False)

            # Undraw any previous data at current x position
            if (
                not changed
                and self._data_values >= self._plot_width
                and self._values >= self._plot_width
            ):
                self._undraw_column(self._x_pos, data_idx - self._plot_width)

        elif self._mode == "scroll":
            if x_pos >= self._plot_width:  # Fallen off x axis range?
                changed = self._auto_plot_range(redraw_plot=False)
                if not changed:
                    self._undraw_bitmap()  # Need to cls for the scroll

                sc_data_idx = (
                    data_idx + self._scroll_px - self._plot_width
                ) % self._data_size
                self._data_values -= self._scroll_px
                self._redraw_for_scroll(
                    0, self._plot_width - 1 - self._scroll_px, sc_data_idx
                )
                x_pos = self._plot_width - self._scroll_px

            elif self._scale_mode == "pixel":
                changed = self._auto_plot_range(redraw_plot=True)

        # Draw the new data
        self._data_draw(values, x_pos, data_idx)

        # Store the new values in circular buffer
        self._data_store(values)

        # increment x position dealing with wrap/scroll
        new_x_pos = x_pos + 1
        if new_x_pos >= self._plot_width:
            # fallen off edge so wrap or leave position
            # on last column for scroll
            if self._mode == "wrap":
                self._x_pos = 0
            else:
                self._x_pos = new_x_pos  # this is off screen
        else:
            self._x_pos = new_x_pos

        if self._data_values < self._data_size:
            self._data_values += 1

        self._values += 1

        if self._mu_output:
            print(values)

        # scrolling mode has automatic refresh in background turned off
        if self._mode == "scroll":
            self._display_refresh()

    def _change_y_range(self, new_plot_min, new_plot_max, redraw_plot=True):
        y_min = new_plot_min
        y_max = new_plot_max
        if self._debug >= 2:
            print("Change Y range", new_plot_min, new_plot_max, redraw_plot)

        # if values reduce range below the minimum then widen the range
        # but keep it within the absolute min/max values
        if self._plot_min_range is not None:
            range_extend = self._plot_min_range - (y_max - y_min)
            if range_extend > 0:
                y_max += range_extend / 2
                y_min -= range_extend / 2
                if y_min < self._abs_min:
                    y_min = self._abs_min
                    y_max = y_min + self._plot_min_range
                elif y_max > self._abs_max:
                    y_max = self._abs_max
                    y_min = y_max - self._plot_min_range

        self._plot_min = y_min
        self._plot_max = y_max
        self.set_y_axis_tick_labels(self._plot_min, self._plot_max)

        if self._values:
            self._undraw_bitmap()
            self._recalc_y_pos()  ## calculates new y positions
            if redraw_plot:
                self._redraw_all()

    @property
    def title(self):
        return self._title

    @title.setter
    def title(self, value):
        self._title = value[: self._max_title_len]  # does not show truncation
        self._displayio_title.text = self._title

    @property
    def info(self):
        if self._displayio_info is None:
            return None
        return self._displayio_info.text

    @info.setter
    def info(self, value):
        """Place some text on the screen.
        Multiple lines are supported with newline character.
        Font will be 3x standard terminalio font or 2x if that does not fit."""
        if self._displayio_info is not None:
            self._displayio_graph.pop()

        if value is not None and value != "":
            font_scale = 2
            line_spacing = 1

            font_w, font_h = self._font.get_bounding_box()
            text_lines = value.split("\n")
            max_word_chars = max([len(word) for word in text_lines])
            # If too large reduce the scale
            if (
                max_word_chars * font_scale * font_w > self._screen_width
                or len(text_lines) * font_scale * font_h * line_spacing
                > self._screen_height
            ):
                font_scale -= 1

            self._displayio_info = Label(
                self._font,
                text=value,
                line_spacing=line_spacing,
                scale=font_scale,
                background_color=self.INFO_FG_COLOR,
                color=self.INFO_BG_COLOR,
            )
            # centre the (left justified) text
            self._displayio_info.x = (
                self._screen_width - font_scale * font_w * max_word_chars
            ) // 2
            self._displayio_info.y = self._screen_height // 3
            self._displayio_graph.append(self._displayio_info)

        else:
            self._displayio_info = None

        if self._mode == "scroll":
            self._display_refresh()

    @property
    def channels(self):
        return self._channels

    @channels.setter
    def channels(self, value):
        if value > self._max_channels:
            raise ValueError("Exceeds max_channels")
        self._channels = value

    @property
    def y_range(self):
        return (self._plot_min, self._plot_max)

    @y_range.setter
    def y_range(self, minmax):
        if minmax[0] != self._plot_min or minmax[1] != self._plot_max:
            self._change_y_range(minmax[0], minmax[1], redraw_plot=True)

    @property
    def y_full_range(self):
        return (self._plot_min, self._plot_max)

    @y_full_range.setter
    def y_full_range(self, minmax):
        self._abs_min = minmax[0]
        self._abs_max = minmax[1]

    @property
    def y_min_range(self):
        return self._plot_min_range

    @y_min_range.setter
    def y_min_range(self, value):
        self._plot_min_range = value

    @property
    def y_axis_lab(self):
        return self._y_axis_lab

    @y_axis_lab.setter
    def y_axis_lab(self, text):
        self._y_axis_lab = text[: self._y_lab_width]
        font_w, _ = self._font.get_bounding_box()
        x_pos = (40 - font_w * len(self._y_axis_lab)) // 2
        # max() used to prevent negative (off-screen) values
        self._displayio_y_axis_lab.x = max(0, x_pos)
        self._displayio_y_axis_lab.text = self._y_axis_lab

    @property
    def channel_colidx(self):
        return self._channel_colidx

    @channel_colidx.setter
    def channel_colidx(self, value):
        # tuple() ensures object has a local / read-only copy of data
        self._channel_colidx = tuple(value)

    @property
    def mu_output(self):
        return self._mu_output

    @mu_output.setter
    def mu_output(self, value):
        self._mu_output = value

    @property
    def y_range_lock(self):
        return self._plot_range_lock

    @y_range_lock.setter
    def y_range_lock(self, value):
        self._plot_range_lock = value

class IlluminatedColorPlotSource(PlotSource):
    def __init__(self, my_clue, mode="Clear"):
        self._clue = my_clue
        col_fl_lc = mode[0].lower()
        if col_fl_lc == "r":
            plot_colour = self.RGB_COLORS[0]
        elif col_fl_lc == "g":
            plot_colour = self.RGB_COLORS[1]
        elif col_fl_lc == "b":
            plot_colour = self.RGB_COLORS[2]
        elif col_fl_lc == "c":
            plot_colour = self.DEFAULT_COLORS[0]
        else:
            raise ValueError("Colour must be Red, Green, Blue or Clear")

        self._channel = col_fl_lc
        super().__init__(1, "Illum. color: " + self._channel.upper(),
                         abs_min=0, abs_max=8000,
                         initial_min=0, initial_max=2000,
                         colors=(plot_colour,),
                         rate=50)

    def data(self):
        (r, g, b, c) = self._clue.color
        if self._channel == "r":
            return r
        elif self._channel == "g":
            return g
        elif self._channel == "b":
            return b
        elif self._channel == "c":
            return c
        else:
            return None  # This should never happen

    def start(self):
        # Set APDS9960 to sample every (256 - 249 ) * 2.78 = 19.46ms
        # pylint: disable=protected-access
        self._clue._sensor.integration_time = 249  # 19.46ms, ~ 50Hz
        self._clue._sensor.color_gain = 0x03  # 64x (library default is 4x)

        self._clue.white_leds = True

    def stop(self):
        self._clue.white_leds = False

class IlluminatedColorPlotSource(PlotSource):
    def __init__(self, my_clue, mode="Clear"):
        self._clue = my_clue
        col_fl_lc = mode[0].lower()
        if col_fl_lc == "r":
            plot_colour = self.RGB_COLORS[0]
        elif col_fl_lc == "g":
            plot_colour = self.RGB_COLORS[1]
        elif col_fl_lc == "b":
            plot_colour = self.RGB_COLORS[2]
        elif col_fl_lc == "c":
            plot_colour = self.DEFAULT_COLORS[0]
        else:
            raise ValueError("Colour must be Red, Green, Blue or Clear")

        self._channel = col_fl_lc
        super().__init__(1, "Illum. color: " + self._channel.upper(),
                         abs_min=0, abs_max=8000,
                         initial_min=0, initial_max=2000,
                         colors=(plot_colour,),
                         rate=50)

    def data(self):
        (r, g, b, c) = self._clue.color
        if self._channel == "r":
            return r
        elif self._channel == "g":
            return g
        elif self._channel == "b":
            return b
        elif self._channel == "c":
            return c
        else:
            return None  # This should never happen

    def start(self):
        # Set APDS9960 to sample every (256 - 249 ) * 2.78 = 19.46ms
        # pylint: disable=protected-access
        self._clue._sensor.integration_time = 249  # 19.46ms, ~ 50Hz
        self._clue._sensor.color_gain = 0x03  # 64x (library default is 4x)

        self._clue.white_leds = True

    def stop(self):
        self._clue.white_leds = False

@property
    def channel_colidx(self):
        return self._channel_colidx

    @channel_colidx.setter
    def channel_colidx(self, value):
        # tuple() ensures object has a local / read-only copy of data
        self._channel_colidx = tuple(value)

@property
    def channel_colidx(self):
        return self._channel_colidx

    @channel_colidx.setter
    def channel_colidx(self, value):
        # tuple() ensures object has a local / read-only copy of data
        self._channel_colidx = tuple(value)

>>> class class_storing_sequence():
...     def __init__(self, a_sequence):
...         self._a_sequence = a_sequence
...         self._a_sequence_copy = tuple(a_sequence)
...
>>> words = ["pass", "by"]
>>> obj = class_storing_sequence(words)
>>> words.extend(["object", "reference"])

>>> obj._a_sequence
['pass', 'by', 'object', 'reference']
>>> obj._a_sequence_copy
('pass', 'by')

>>> class class_storing_sequence():
...     def __init__(self, a_sequence):
...         self._a_sequence = a_sequence
...         self._a_sequence_copy = tuple(a_sequence)
...
>>> words = ["pass", "by"]
>>> obj = class_storing_sequence(words)
>>> words.extend(["object", "reference"])

>>> obj._a_sequence
['pass', 'by', 'object', 'reference']
>>> obj._a_sequence_copy
('pass', 'by')

import audioio, audiocore, board, neopixel, time

dacpair = audioio.AudioOut(board.A0,
                           right_channel=board.A1)
filename = "adafruit-spinning-logo-plot-2chan.wav"
wav_file = open(filename, "rb")
samples = audiocore.WaveFile(wav_file)
samples.sample_rate = 500
dacpair.play(samples, loop=True)
pixel = neopixel.NeoPixel(board.NEOPIXEL, 1)

# Loop forever showing r, g, b while the
# DACs continue to loop the samples from wav file
while True:
    pixel[0] = (255, 0, 0)  # red
    time.sleep(0.5)
    pixel[0] = (0, 255, 0)  # green
    time.sleep(0.5)
    pixel[0] = (0, 0, 255)  # blue
    time.sleep(0.5)

import audioio, audiocore, board, neopixel, time

dacpair = audioio.AudioOut(board.A0,
                           right_channel=board.A1)
filename = "adafruit-spinning-logo-plot-2chan.wav"
wav_file = open(filename, "rb")
samples = audiocore.WaveFile(wav_file)
samples.sample_rate = 500
dacpair.play(samples, loop=True)
pixel = neopixel.NeoPixel(board.NEOPIXEL, 1)

# Loop forever showing r, g, b while the
# DACs continue to loop the samples from wav file
while True:
    pixel[0] = (255, 0, 0)  # red
    time.sleep(0.5)
    pixel[0] = (0, 255, 0)  # green
    time.sleep(0.5)
    pixel[0] = (0, 0, 255)  # blue
    time.sleep(0.5)

class TemperaturePlotSource(PlotSource):
    def _convert(self, value):
        return value * self._scale + self._offset

    def __init__(self, my_clue, mode="Celsius"):
        self._clue = my_clue
        range_min = 0.8
        if mode[0].lower() == "f":
            mode_name = "Fahrenheit"
            self._scale = 1.8
            self._offset = 32.0
            range_min = 1.6
        elif mode[0].lower == "k":
            mode_name = "Kelvin"
            self._scale = 1.0
            self._offset = -273.15
        else:
            mode_name = "Celsius"
            self._scale = 1.0
            self._offset = 0.0
        super().__init__(1, "Temperature",
                         units=mode_name[0],
                         abs_min=self._convert(-40),
                         abs_max=self._convert(85),
                         initial_min=self._convert(10),
                         initial_max=self._convert(40),
                         range_min=range_min,
                         rate=24)

    def data(self):
        return self._convert(self._clue.temperature)

class TemperaturePlotSource(PlotSource):
    def _convert(self, value):
        return value * self._scale + self._offset

    def __init__(self, my_clue, mode="Celsius"):
        self._clue = my_clue
        range_min = 0.8
        if mode[0].lower() == "f":
            mode_name = "Fahrenheit"
            self._scale = 1.8
            self._offset = 32.0
            range_min = 1.6
        elif mode[0].lower == "k":
            mode_name = "Kelvin"
            self._scale = 1.0
            self._offset = -273.15
        else:
            mode_name = "Celsius"
            self._scale = 1.0
            self._offset = 0.0
        super().__init__(1, "Temperature",
                         units=mode_name[0],
                         abs_min=self._convert(-40),
                         abs_max=self._convert(85),
                         initial_min=self._convert(10),
                         initial_max=self._convert(40),
                         range_min=range_min,
                         rate=24)

    def data(self):
        return self._convert(self._clue.temperature)

# an excerpt from Test_TemperaturePlotSource class
    SENSOR_DATA = (20, 21.3, 22.0, 0.0, -40, 85)

    def test_kelvin(self):
        """Create the source in Kelvin mode and test with some values."""
        # Emulate the clue's temperature sensor by
        # returning a temperature from a small tuple
        # of test data
        mocked_clue = Mock()
        expected_data = (293.15, 294.45, 295.15,
                         273.15, 233.15, 358.15)
        type(mocked_clue).temperature = PropertyMock(side_effect=self.SENSOR_DATA)

        source = TemperaturePlotSource(mocked_clue,
                                       mode="Kelvin")

        for expected_value in expected_data:
            data = source.data()
            # self.assertEqual(data,
            #                 expected_value,
            #                 msg="An inappropriate check for floating-point")
            self.assertAlmostEqual(data,
                                   expected_value,
                                   msg="Checking converted temperature is correct")

# an excerpt from Test_TemperaturePlotSource class
    SENSOR_DATA = (20, 21.3, 22.0, 0.0, -40, 85)

    def test_kelvin(self):
        """Create the source in Kelvin mode and test with some values."""
        # Emulate the clue's temperature sensor by
        # returning a temperature from a small tuple
        # of test data
        mocked_clue = Mock()
        expected_data = (293.15, 294.45, 295.15,
                         273.15, 233.15, 358.15)
        type(mocked_clue).temperature = PropertyMock(side_effect=self.SENSOR_DATA)

        source = TemperaturePlotSource(mocked_clue,
                                       mode="Kelvin")

        for expected_value in expected_data:
            data = source.data()
            # self.assertEqual(data,
            #                 expected_value,
            #                 msg="An inappropriate check for floating-point")
            self.assertAlmostEqual(data,
                                   expected_value,
                                   msg="Checking converted temperature is correct")

$ python tests/test_PlotSource.py
test_celsius (__main__.Test_TemperaturePlotSource)
Create the source in Celsius mode and test with some values. ... ok
test_fahrenheit (__main__.Test_TemperaturePlotSource)
Create the source in Fahrenheit mode and test with some values. ... ok
test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values. ... FAIL

======================================================================
FAIL: test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "tests/test_PlotSource.py", line 101, in test_kelvin
    msg="Checking converted temperature is correct")
AssertionError: 20.0 != 293.15 within 7 places : Checking converted temperature is correct

----------------------------------------------------------------------
Ran 3 tests in 0.002s

FAILED (failures=1)

$ python tests/test_PlotSource.py
test_celsius (__main__.Test_TemperaturePlotSource)
Create the source in Celsius mode and test with some values. ... ok
test_fahrenheit (__main__.Test_TemperaturePlotSource)
Create the source in Fahrenheit mode and test with some values. ... ok
test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values. ... FAIL

======================================================================
FAIL: test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "tests/test_PlotSource.py", line 101, in test_kelvin
    msg="Checking converted temperature is correct")
AssertionError: 20.0 != 293.15 within 7 places : Checking converted temperature is correct

----------------------------------------------------------------------
Ran 3 tests in 0.002s

FAILED (failures=1)

Adafruit CircuitPython 5.0.0 on 2020-03-02; Adafruit CLUE nRF52840 Express with nRF52840
>>> mode="Kelvin"
>>> mode[0].lower == "k"
False
>>> mode[0].lower == "K"
False
>>> mode[0]
'K'
>>> mode[0].lower
<bound_method>
>>> mode[0].lower() == "k"
True

Adafruit CircuitPython 5.0.0 on 2020-03-02; Adafruit CLUE nRF52840 Express with nRF52840
>>> mode="Kelvin"
>>> mode[0].lower == "k"
False
>>> mode[0].lower == "K"
False
>>> mode[0]
'K'
>>> mode[0].lower
<bound_method>
>>> mode[0].lower() == "k"
True

std::string Family("Coronaviridae");

if (Family.front() == 'N') {
  std::cout << "Starts with N" << std::endl;
} else if (Family.front == 'C') {
  std::cout << "Starts with C" << std::endl;
}

std::string Family("Coronaviridae");

if (Family.front() == 'N') {
  std::cout << "Starts with N" << std::endl;
} else if (Family.front == 'C') {
  std::cout << "Starts with C" << std::endl;
}

$ g++ -std=c++11 -o type-demonstration type-demonstration.cpp     type-demonstration.cpp: In function ‘int main(int, char**)’:
type-demonstration.cpp:15:30: error: invalid operands of types ‘<unresolved overloaded function type>’ and ‘char’ to binary ‘operator==’
   } else if (Family.front == 'C') {
                              ^

$ g++ -std=c++11 -o type-demonstration type-demonstration.cpp     type-demonstration.cpp: In function ‘int main(int, char**)’:
type-demonstration.cpp:15:30: error: invalid operands of types ‘<unresolved overloaded function type>’ and ‘char’ to binary ‘operator==’
   } else if (Family.front == 'C') {
                              ^

STRING = "HELLO"
if STRING[0].lower == "h":  # not what programmer intended!
    print("Found an h or an H")  # won't even be executed

STRING = "HELLO"
if STRING[0].lower == "h":  # not what programmer intended!
    print("Found an h or an H")  # won't even be executed

$ pylint check_pylint_comparison_with_callable.py
************* Module check_pylint_comparison_with_callable
check_pylint_comparison_with_callable.py:4:3: W0143: Comparing against a callable, did you omit the parenthesis? (comparison-with-callable)

$ pylint check_pylint_comparison_with_callable.py
************* Module check_pylint_comparison_with_callable
check_pylint_comparison_with_callable.py:4:3: W0143: Comparing against a callable, did you omit the parenthesis? (comparison-with-callable)

AssertionError: -253.14999999999998 != 293.15 within 7 places : Checking converted temperature is correct

AssertionError: -253.14999999999998 != 293.15 within 7 places : Checking converted temperature is correct

$ python tests/test_PlotSource.py Test_TemperaturePlotSource.test_kelvin
test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values. ... FAIL

======================================================================
FAIL: test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "tests/test_PlotSource.py", line 101, in test_kelvin
    msg="Checking converted temperature is correct")
AssertionError: -253.14999999999998 != 293.15 within 7 places : Checking converted temperature is correct

----------------------------------------------------------------------
Ran 1 test in 0.001s

FAILED (failures=1)

$ python tests/test_PlotSource.py Test_TemperaturePlotSource.test_kelvin
test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values. ... FAIL

======================================================================
FAIL: test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "tests/test_PlotSource.py", line 101, in test_kelvin
    msg="Checking converted temperature is correct")
AssertionError: -253.14999999999998 != 293.15 within 7 places : Checking converted temperature is correct

----------------------------------------------------------------------
Ran 1 test in 0.001s

FAILED (failures=1)

$ python tests/test_PlotSource.py
test_celsius (__main__.Test_TemperaturePlotSource)
Create the source in Celsius mode and test with some values. ... ok
test_fahrenheit (__main__.Test_TemperaturePlotSource)
Create the source in Fahrenheit mode and test with some values. ... ok
test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values. ... ok

----------------------------------------------------------------------
Ran 3 tests in 0.002s

OK

$ python tests/test_PlotSource.py
test_celsius (__main__.Test_TemperaturePlotSource)
Create the source in Celsius mode and test with some values. ... ok
test_fahrenheit (__main__.Test_TemperaturePlotSource)
Create the source in Fahrenheit mode and test with some values. ... ok
test_kelvin (__main__.Test_TemperaturePlotSource)
Create the source in Kelvin mode and test with some values. ... ok

----------------------------------------------------------------------
Ran 3 tests in 0.002s

OK

import time

# Good - int value preserved
start = time.monotonic_ns()
time.sleep(0.005)
ms_duration = (((time.monotonic_ns() - start) + 500000)
               // 1000000)
print(ms_duration)


# Good - int subtraction then the small value
# duration value is ok to convert to a float
start = time.monotonic_ns()
time.sleep(0.005)
ms_duration = round((time.monotonic_ns() - start) / 1e6, 1)
print(ms_duration)


# BAD - accidental/premature conversion to
# float reducing accuracy of calculation
start_ms = time.monotonic_ns() / 1e6  # BAD
time.sleep(0.005)
ms_duration = round(time.monotonic_ns() / 1e6  # BAD
                    - start_ms, 1)
print(ms_duration)

import time

# Good - int value preserved
start = time.monotonic_ns()
time.sleep(0.005)
ms_duration = (((time.monotonic_ns() - start) + 500000)
               // 1000000)
print(ms_duration)


# Good - int subtraction then the small value
# duration value is ok to convert to a float
start = time.monotonic_ns()
time.sleep(0.005)
ms_duration = round((time.monotonic_ns() - start) / 1e6, 1)
print(ms_duration)


# BAD - accidental/premature conversion to
# float reducing accuracy of calculation
start_ms = time.monotonic_ns() / 1e6  # BAD
time.sleep(0.005)
ms_duration = round(time.monotonic_ns() / 1e6  # BAD
                    - start_ms, 1)
print(ms_duration)

>>> t1 = time.monotonic_ns()
>>> t1
167333909366000
>>> t1 + 1e9
1.67335e+14
>>> int(t1 + 1e9)
167334878642176

>>> t1 + 1000000000
167334909366000

>>> t1 = time.monotonic_ns()
>>> t1
167333909366000
>>> t1 + 1e9
1.67335e+14
>>> int(t1 + 1e9)
167334878642176

>>> t1 + 1000000000
167334909366000

>>> smaller = 1034567890
>>> larger = smaller + 10

>>> if larger > smaller: print("all ok - integer calculation/comparison")
...
all ok - integer calculation/comparison
>>> if larger // 10 > smaller // 10: print("all ok - integer calculation/comparison")
...
all ok - integer calculation/comparison

>>> if larger / 10 > smaller // 10: print("not ok - float division")
...
>>> if larger // 1e1 > smaller // 10: print("not ok - integer division used with float")
...

>>> smaller = 1034567890
>>> larger = smaller + 10

>>> if larger > smaller: print("all ok - integer calculation/comparison")
...
all ok - integer calculation/comparison
>>> if larger // 10 > smaller // 10: print("all ok - integer calculation/comparison")
...
all ok - integer calculation/comparison

>>> if larger / 10 > smaller // 10: print("not ok - float division")
...
>>> if larger // 1e1 > smaller // 10: print("not ok - integer division used with float")
...

Adafruit CircuitPython 5.0.0 on 2020-03-02; Adafruit CLUE nRF52840 Express with nRF52840
>>>
>>> an_int = 1_000_000_000
>>> print(an_int,
...       an_int // 1000_000, an_int // 1_00_00_00,
...       int("-1_234_567"))
1000000000 1000 1000 -1234567

Adafruit CircuitPython 5.0.0 on 2020-03-02; Adafruit CLUE nRF52840 Express with nRF52840
>>>
>>> an_int = 1_000_000_000
>>> print(an_int,
...       an_int // 1000_000, an_int // 1_00_00_00,
...       int("-1_234_567"))
1000000000 1000 1000 -1234567

import board, time

# Disable updates to LCD screen which 
# will occasionally introduce very large
# delays between statement execution
board.DISPLAY.auto_refresh = False


print(*[("{:" + str(hdr[0])
         + "s}").format(hdr[1])[:hdr[0]]
        for hdr in ((3, "num"),
                    (15, "monotonic_ns()"),
                    (12, "monotonic()"),
                    (8, "fraction"),
                    (9, "offset"))
       ],
       sep=" | ")

count = 1
previous = time.monotonic()

# Print the time when it changes according
# to time.monotonic() to inspect the
# sub-second precision
while True:
    now = time.monotonic()
    now_ns = time.monotonic_ns()
    if now != previous:
        now_ns_str = str(now_ns)
        now_frac = now - int(now)
        print("{:3d}".format(count),
              now_ns_str[:-9] + "." + now_ns_str[-9:],
              "{:.6f}".format(now),
              "{:.6f}".format(now_frac),
              "{:.6f}".format(int(now_ns_str[-9:-3])
                              / 1e6 - now_frac),
              sep=" | ")
        previous = now
        count = 1
    else:
        count += 1

import board, time

# Disable updates to LCD screen which 
# will occasionally introduce very large
# delays between statement execution
board.DISPLAY.auto_refresh = False


print(*[("{:" + str(hdr[0])
         + "s}").format(hdr[1])[:hdr[0]]
        for hdr in ((3, "num"),
                    (15, "monotonic_ns()"),
                    (12, "monotonic()"),
                    (8, "fraction"),
                    (9, "offset"))
       ],
       sep=" | ")

count = 1
previous = time.monotonic()

# Print the time when it changes according
# to time.monotonic() to inspect the
# sub-second precision
while True:
    now = time.monotonic()
    now_ns = time.monotonic_ns()
    if now != previous:
        now_ns_str = str(now_ns)
        now_frac = now - int(now)
        print("{:3d}".format(count),
              now_ns_str[:-9] + "." + now_ns_str[-9:],
              "{:.6f}".format(now),
              "{:.6f}".format(now_frac),
              "{:.6f}".format(int(now_ns_str[-9:-3])
                              / 1e6 - now_frac),
              sep=" | ")
        previous = now
        count = 1
    else:
        count += 1

num | monotonic_ns()  | monotonic()  | fraction | offset
  1 | 563.305638000 | 563.304901 | 0.304932 | 0.000706
  1 | 563.310520000 | 563.309813 | 0.309814 | 0.000705
  1 | 563.315276000 | 563.314915 | 0.314941 | 0.000335
  1 | 563.319893000 | 563.318825 | 0.318848 | 0.001045
  1 | 563.324549000 | 563.323975 | 0.323975 | 0.000574
  1 | 563.329326000 | 563.328838 | 0.328857 | 0.000468
  1 | 563.333935000 | 563.332987 | 0.333008 | 0.000927
  1 | 563.338627000 | 563.337898 | 0.337891 | 0.000736
  1 | 563.343376000 | 563.343000 | 0.343018 | 0.000358
  1 | 563.348121000 | 563.347864 | 0.347900 | 0.000221

num | monotonic_ns()  | monotonic()  | fraction | offset
  1 | 563.305638000 | 563.304901 | 0.304932 | 0.000706
  1 | 563.310520000 | 563.309813 | 0.309814 | 0.000705
  1 | 563.315276000 | 563.314915 | 0.314941 | 0.000335
  1 | 563.319893000 | 563.318825 | 0.318848 | 0.001045
  1 | 563.324549000 | 563.323975 | 0.323975 | 0.000574
  1 | 563.329326000 | 563.328838 | 0.328857 | 0.000468
  1 | 563.333935000 | 563.332987 | 0.333008 | 0.000927
  1 | 563.338627000 | 563.337898 | 0.337891 | 0.000736
  1 | 563.343376000 | 563.343000 | 0.343018 | 0.000358
  1 | 563.348121000 | 563.347864 | 0.347900 | 0.000221

num | monotonic_ns()  | monotonic()  | fraction | offset
  1 | 149621.908317000 | 149621.868134 | 0.875000 | 0.033317
179 | 149621.929066000 | 149621.939659 | 0.937500 | -0.008434

584 | 149621.993094000 | 149622.001648 | 0.000000 | 0.993094
663 | 149622.057075000 | 149622.058868 | 0.062500 | -0.005425
663 | 149622.121106000 | 149622.130394 | 0.125000 | -0.003894
662 | 149622.185034000 | 149622.192383 | 0.187500 | -0.002466
663 | 149622.249074000 | 149622.249603 | 0.250000 | -0.000926
663 | 149622.313108000 | 149622.306824 | 0.312500 | 0.000608
472 | 149622.360060000 | 149622.383118 | 0.375000 | -0.014940
581 | 149622.424027000 | 149622.430801 | 0.437500 | -0.013473
663 | 149622.488075000 | 149622.497559 | 0.500000 | -0.011925
663 | 149622.552114000 | 149622.559547 | 0.562500 | -0.010386
662 | 149622.616032000 | 149622.621536 | 0.625000 | -0.008968
663 | 149622.680073000 | 149622.688293 | 0.687500 | -0.007427
663 | 149622.744107000 | 149622.750282 | 0.750000 | -0.005893
660 | 149622.808095000 | 149622.812271 | 0.812500 | -0.004405
582 | 149622.872057000 | 149622.869492 | 0.875000 | -0.002943
663 | 149622.936033000 | 149622.941017 | 0.937500 | -0.001467

663 | 149623.000109000 | 149623.003006 | 0.000000 | 0.000109
495 | 149623.049088000 | 149623.060226 | 0.062500 | -0.013412

num | monotonic_ns()  | monotonic()  | fraction | offset
  1 | 149621.908317000 | 149621.868134 | 0.875000 | 0.033317
179 | 149621.929066000 | 149621.939659 | 0.937500 | -0.008434

584 | 149621.993094000 | 149622.001648 | 0.000000 | 0.993094
663 | 149622.057075000 | 149622.058868 | 0.062500 | -0.005425
663 | 149622.121106000 | 149622.130394 | 0.125000 | -0.003894
662 | 149622.185034000 | 149622.192383 | 0.187500 | -0.002466
663 | 149622.249074000 | 149622.249603 | 0.250000 | -0.000926
663 | 149622.313108000 | 149622.306824 | 0.312500 | 0.000608
472 | 149622.360060000 | 149622.383118 | 0.375000 | -0.014940
581 | 149622.424027000 | 149622.430801 | 0.437500 | -0.013473
663 | 149622.488075000 | 149622.497559 | 0.500000 | -0.011925
663 | 149622.552114000 | 149622.559547 | 0.562500 | -0.010386
662 | 149622.616032000 | 149622.621536 | 0.625000 | -0.008968
663 | 149622.680073000 | 149622.688293 | 0.687500 | -0.007427
663 | 149622.744107000 | 149622.750282 | 0.750000 | -0.005893
660 | 149622.808095000 | 149622.812271 | 0.812500 | -0.004405
582 | 149622.872057000 | 149622.869492 | 0.875000 | -0.002943
663 | 149622.936033000 | 149622.941017 | 0.937500 | -0.001467

663 | 149623.000109000 | 149623.003006 | 0.000000 | 0.000109
495 | 149623.049088000 | 149623.060226 | 0.062500 | -0.013412