Finished CPU monitor and drawing
This commit is contained in:
commit
8537b30b49
16
.vscode/launch.json
vendored
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16
.vscode/launch.json
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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"program": "${file}",
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"console": "integratedTerminal",
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"justMyCode": true
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}
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]
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}
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37
commands.py
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37
commands.py
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from enum import Enum
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# https://github.com/FrameworkComputer/inputmodule-rs/blob/main/commands.md
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# Display is 9x34 wide x tall
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class Commands():
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Brightness = 0x00
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Pattern = 0x01
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Bootloader = 0x02
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Sleep = 0x03
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GetSleep = 0x03
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Animate = 0x04
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GetAnimate = 0x04
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Panic = 0x05
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DrawBW = 0x06
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StageCol = 0x07
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FlushCols = 0x08
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SetText = 0x09
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StartGame = 0x10
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GameCtrl = 0x11
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GameStatus = 0x12
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SetColor = 0x13
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DisplayOn = 0x14
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InvertScreen = 0x15
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SetPxCol = 0x16
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FlushFB = 0x17
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Version = 0x20
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def send_command(s, command_id, parameters = None, with_response=False):
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message = bytearray([0x32, 0xAC, command_id])
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if parameters:
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message.extend(parameters)
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s.write(message)
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if with_response:
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res = s.read(1)
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return res
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101
drawing.py
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101
drawing.py
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import numpy as np
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import serial
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from commands import Commands, send_command
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# This table represents the 3x3 grid of LEDs to be drawn for each fill ratio
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lookup_table = np.array(
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[
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[
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[0, 0, 0],
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[0, 0, 0],
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[0, 0, 0]
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],
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[
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[0, 0, 0],
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[0, 1, 0],
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[0, 0, 0]
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],
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[
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[0, 1, 0],
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[0, 1, 0],
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[0, 0, 0]
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],
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[
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[0, 1, 1],
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[0, 1, 0],
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[0, 0, 0]
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],
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[
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[0, 1, 1],
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[0, 1, 1],
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[0, 0, 0]
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],
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[
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[0, 1, 1],
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[0, 1, 1],
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[0, 0, 1]
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],
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[
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[0, 1, 1],
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[0, 1, 1],
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[0, 1, 1]
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],
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[
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[0, 1, 1],
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[0, 1, 1],
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[1, 1, 1]
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],
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[
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[0, 1, 1],
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[1, 1, 1],
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[1, 1, 1]
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],
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[
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[1, 1, 1],
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[1, 1, 1],
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[1, 1, 1]
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]
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]
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)
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# Correct table orientation for visual orientation when drawn
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for i in range(lookup_table.shape[0]):
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lookup_table[i] = lookup_table[i].T
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def spiral_index(fill_ratio):
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return int(round(fill_ratio * 9.999999 - 0.5))
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def make_cpu_grid(cpu_values, border_value, fill_value):
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grid = np.zeros((9,34), dtype = int)
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for i, v in enumerate(cpu_values):
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column_number = i % 2
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row_number = i // 2
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fill_grid = lookup_table[spiral_index(v)]
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grid[1+column_number*4:4+column_number*4, 1+row_number*4:4+row_number*4] = fill_grid * fill_value
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# Fill in the borders
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grid[0, :16] = border_value
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grid[4, :16] = border_value
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grid[8, :16] = border_value
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grid[:, 0] = border_value
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grid[:, 4] = border_value
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grid[:, 8] = border_value
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grid[:, 12] = border_value
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grid[:, 16] = border_value
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return grid
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def draw_to_LEDs(s, grid):
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for i in range(grid.shape[0]):
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params = bytearray([i]) + bytearray(grid[i, :].tolist())
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send_command(s, Commands.StageCol, parameters=params)
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send_command(s, Commands.FlushCols)
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if __name__ == "__main__":
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# LED array is 34x9, and is indexed left to right top to bottom
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grid = make_cpu_grid([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8], 10, 30)
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port = "COM3"
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with serial.Serial(port, 115200) as s:
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draw_to_LEDs(s, grid)
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81
led_system_monitor.py
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81
led_system_monitor.py
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# Built In Dependencies
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import sys
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import glob
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import time
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import queue
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# Internal Dependencies
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from commands import Commands, send_command
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from drawing import make_cpu_grid, draw_to_LEDs
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from monitors import CPUMonitorThread
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# External Dependencies
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import serial # pyserial
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def get_ports():
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"""Returns a list of all available serial ports on the system.
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Raises:
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EnvironmentError: Will be returned if the platform is not Windows, Linux, Cygwin, or Darwin.
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Returns:
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[list(str)]: A list of valid serial ports on the system.
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"""
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if sys.platform.startswith('win'):
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ports = ['COM%s' % (i+1) for i in range(256)]
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elif sys.platform.startswith('linux') or sys.platform.startswith('cygwin'):
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ports = reversed(glob.glob('/dev/ttyUSB*'))
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elif sys.platform.startswith('darwin'):
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ports = glob.glob('/dev/tty.*')
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else:
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raise EnvironmentError('Unsupported platform')
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result = []
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for port in ports:
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try:
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s = serial.Serial(port)
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s.close()
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result.append(port)
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except (OSError, serial.SerialException):
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pass
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return result
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if __name__ == "__main__":
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# print(get_ports())
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port = "COM3"
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cpu_queue = queue.Queue()
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cpu_monitor = CPUMonitorThread(cpu_queue)
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cpu_monitor.start()
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s = serial.Serial(port, 115200)
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while True:
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if not cpu_queue.empty():
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cpu_values = cpu_queue.get()
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grid = make_cpu_grid(cpu_values, 10, 30)
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draw_to_LEDs(s, grid)
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time.sleep(0.1)
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# # print(send_command(port, Commands.Version, with_response=True))
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# with serial.Serial(port, 115200) as s:
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# for cval in range(16):
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# for column_number in range(9):
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# column_values = [cval] * 34
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# params = bytearray([column_number]) + bytearray(column_values)
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# send_command(s, Commands.StageCol, parameters=params)
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# print(f"Flushing cval: {cval}")
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# send_command(s, Commands.FlushCols)
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# Columns are filled left to right top to bottom
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# with serial.Serial(port, 115200) as s:
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# column_number = 0
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# column_values = [50] * 17 + [0] * 17
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# params = bytearray([column_number]) + bytearray(column_values)
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# send_command(s, Commands.StageCol, parameters=params)
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# send_command(s, Commands.FlushCols)
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BIN
ledmatrix_gui_windows.exe
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BIN
ledmatrix_gui_windows.exe
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Binary file not shown.
174
monitors.py
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174
monitors.py
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import time
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import psutil
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import threading
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import time
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import queue
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class DiskMonitorThread(threading.Thread):
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def __init__(self, output_queue, hysterisis_time = 5, update_interval = 0.25):
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super().__init__()
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self.daemon = True
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self.read_usage_history = []
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self.write_usage_history = []
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self.history_times = []
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self.highest_read_rate = 0.00001
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self.highest_write_rate = 0.00001
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self.max_history_size = int(round(hysterisis_time / update_interval))
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self.update_interval = update_interval
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self.output_queue = output_queue
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def run(self):
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while True:
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disk_io = psutil.disk_io_counters()
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read_usage = disk_io.read_bytes
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write_usage = disk_io.write_bytes
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self.read_usage_history.append(read_usage)
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self.write_usage_history.append(write_usage)
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self.history_times.append(time.time())
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if len(self.read_usage_history) > self.max_history_size:
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self.read_usage_history = self.read_usage_history[-self.max_history_size:]
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self.write_usage_history = self.write_usage_history[-self.max_history_size:]
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self.history_times = self.history_times[-self.max_history_size:]
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if len(self.read_usage_history) == self.max_history_size:
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read_diff = self.read_usage_history[-1] - self.read_usage_history[0]
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write_diff = self.write_usage_history[-1] - self.write_usage_history[0]
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time_diff = self.history_times[-1] - self.history_times[0]
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read_rate = read_diff / time_diff
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write_rate = write_diff / time_diff
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self.highest_read_rate = max(self.highest_read_rate, read_rate)
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self.highest_write_rate = max(self.highest_write_rate, write_rate)
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read_percent = min(1.0, read_rate / self.highest_read_rate)
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write_percent = min(1.0, write_rate / self.highest_write_rate)
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self.output_queue.put((read_percent, write_percent))
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time.sleep(self.update_interval)
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class NetworkMonitorThread(threading.Thread):
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def __init__(self, output_queue, hysterisis_time = 5, update_interval = 0.25):
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super().__init__()
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self.daemon = True
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self.sent_usage_history = []
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self.recv_usage_history = []
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self.history_times = []
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self.highest_sent_rate = 0.00001
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self.highest_recv_rate = 0.00001
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self.max_history_size = int(round(hysterisis_time / update_interval))
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self.update_interval = update_interval
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self.output_queue = output_queue
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def run(self):
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while True:
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net_io = psutil.net_io_counters()
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sent_usage = net_io.bytes_sent
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recv_usage = net_io.bytes_recv
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self.sent_usage_history.append(sent_usage)
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self.recv_usage_history.append(recv_usage)
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self.history_times.append(time.time())
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if len(self.sent_usage_history) > self.max_history_size:
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self.sent_usage_history = self.sent_usage_history[-self.max_history_size:]
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self.recv_usage_history = self.recv_usage_history[-self.max_history_size:]
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self.history_times = self.history_times[-self.max_history_size:]
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if len(self.sent_usage_history) == self.max_history_size:
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sent_diff = self.sent_usage_history[-1] - self.sent_usage_history[0]
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recv_diff = self.recv_usage_history[-1] - self.recv_usage_history[0]
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time_diff = self.history_times[-1] - self.history_times[0]
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sent_rate = sent_diff / time_diff
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recv_rate = recv_diff / time_diff
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self.highest_sent_rate = max(self.highest_sent_rate, sent_rate)
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self.highest_recv_rate = max(self.highest_recv_rate, recv_rate)
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sent_percent = min(1.0, sent_rate / self.highest_sent_rate)
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recv_percent = min(1.0, recv_rate / self.highest_recv_rate)
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self.output_queue.put((sent_percent, recv_percent))
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time.sleep(self.update_interval)
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class CPUMonitorThread(threading.Thread):
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def __init__(self, output_queue, hysterisis_time = 5, update_interval = 0.25):
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super().__init__()
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self.daemon = True
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self.cpu_count = psutil.cpu_count() // 2 # 2 logical cores per physical core
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self.cpu_usage_history = [[] for _ in range(self.cpu_count)]
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self.history_times = []
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self.max_history_size = int(round(hysterisis_time / update_interval))
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self.update_interval = update_interval
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self.output_queue = output_queue
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def run(self):
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while True:
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cpu_usage = psutil.cpu_percent(percpu=True)
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for i in range(self.cpu_count):
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useage = 2 * max(cpu_usage[2*i], cpu_usage[2*i+1]) # Combine logical cores
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if useage > 100:
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useage = 100
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self.cpu_usage_history[i].append(useage / 100.0)
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self.history_times.append(time.time())
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if len(self.cpu_usage_history[0]) > self.max_history_size:
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for i in range(self.cpu_count):
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self.cpu_usage_history[i] = self.cpu_usage_history[i][-self.max_history_size:]
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self.history_times = self.history_times[-self.max_history_size:]
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if len(self.cpu_usage_history[0]) == self.max_history_size:
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cpu_percentages = [sum(core_history) / self.max_history_size for core_history in self.cpu_usage_history]
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self.output_queue.put(cpu_percentages)
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time.sleep(self.update_interval)
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class MemoryMonitorThread(threading.Thread):
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def __init__(self, output_queue, hysterisis_time = 5, update_interval = 0.25):
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super().__init__()
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self.daemon = True
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self.memory_usage_history = []
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self.history_times = []
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self.max_history_size = int(round(hysterisis_time / update_interval))
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self.update_interval = update_interval
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self.output_queue = output_queue
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def run(self):
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while True:
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memory_usage = psutil.virtual_memory().percent / 100.0
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self.memory_usage_history.append(memory_usage)
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self.history_times.append(time.time())
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if len(self.memory_usage_history) > self.max_history_size:
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self.memory_usage_history = self.memory_usage_history[-self.max_history_size:]
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self.history_times = self.history_times[-self.max_history_size:]
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if len(self.memory_usage_history) == self.max_history_size:
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avg_memory_usage = sum(self.memory_usage_history) / self.max_history_size
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self.output_queue.put(avg_memory_usage)
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time.sleep(self.update_interval)
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if __name__ == "__main__":
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disk_queue = queue.Queue()
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network_queue = queue.Queue()
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cpu_queue = queue.Queue()
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memory_queue = queue.Queue()
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disk_monitor = DiskMonitorThread(disk_queue)
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network_monitor = NetworkMonitorThread(network_queue)
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cpu_monitor = CPUMonitorThread(cpu_queue)
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memory_monitor = MemoryMonitorThread(memory_queue)
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disk_monitor.start()
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network_monitor.start()
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cpu_monitor.start()
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memory_monitor.start()
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while True:
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if not disk_queue.empty():
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read_percent, write_percent = disk_queue.get()
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print(f"Disk Usage: Read {read_percent:.2%}, Write {write_percent:.2%}")
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if not network_queue.empty():
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sent_percent, recv_percent = network_queue.get()
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print(f"Network Usage: Sent {sent_percent:.2%}, Received {recv_percent:.2%}")
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if not cpu_queue.empty():
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cpu_percentages = cpu_queue.get()
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print(f"CPU Usage: {cpu_percentages}")
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if not memory_queue.empty():
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memory_usage = memory_queue.get()
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print(f"Memory Usage: {memory_usage:.2%}")
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time.sleep(0.5)
|
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