Source code for pyphysim.progressbar.progressbar

#!/usr/bin/env python

# pylint: disable=E1101
"""
Implement classes to represent the progress of a task.

Use the ProgressbarText class for tasks that do not use multiprocessing,
and the ProgressbarMultiProcessServer class for tasks using
multiprocessing.

Basically, the task code must call the "progress" function to update the
progress bar and pass a number equivalent to the increment in the progress
since the last call. The progressbar must know the maximum value equivalent
to all the progress, which is passed during object creator for
ProgressbarText class.

The ProgressbarMultiProcessServer is similar to ProgressbarText class,
accounts for the progress of multiple processes. For each process you need
to call the register_client_and_get_proxy_progressbar to get a proxy
progressbar, where the maximum value equivalent to all the progress that
will be performed by that process is passed in this proxy creation. Each
process then calls the progress method of the proxy progressbar.

Note that there is also a DummyProgressbar whose progress function does
nothing. This is useful when you want to give the user a choice to show or
not the progressbar such that the task code can always call the progress
method and you only change the progressbar object.
"""

import multiprocessing
import os
import sys
import time
import warnings
from typing import Any, List, Optional, Tuple, cast, final

from ..util.misc import pretty_time

try:
    from IPython.display import display
    from ipywidgets import FloatProgress, HBox, Label
    _IPYTHON_AVAILABLE = True
except:
    _IPYTHON_AVAILABLE = False

try:
    # noinspection PyUnresolvedReferences
    import zmq
except ImportError:  # pragma: no cover
    # We don't have a fallback for zmq, but only the
    # ProgressbarZMQServer and ProgressbarZMQClient classes require it
    pass

# Type used to store IP address and port number
ClientID = int
IPAddress = str
PortNumber = int

__all__ = [
    'DummyProgressbar', 'ProgressBarBase', 'ProgressbarTextBase',
    'ProgressbarText', 'ProgressbarText2', 'ProgressbarText3',
    'ProgressBarIPython', 'ProgressbarDistributedServerBase',
    'ProgressbarDistributedClientBase', 'ProgressbarMultiProcessServer',
    'ProgressbarMultiProcessClient', 'ProgressbarZMQServer',
    'ProgressbarZMQClient'
]


# If this function is ever used outside this file, then move it to the
# util.misc module.
def center_message(message: str,
                   length: int = 50,
                   fill_char: str = ' ',
                   left: str = '',
                   right: str = '') -> str:
    """
    Return a string with `message` centralized and surrounded by
    `fill_char`.

    Parameters
    ----------
    message: str
        The message to be centered.
    length : int
        Total length of the centered message (original + any fill).
    fill_char : str
        Filling character.
    left : str
        Left part of the filling.
    right : str
       Right part of the filling.

    Returns
    -------
    cent_message : str
        The centralized message.

    Examples
    --------
    >>> print(center_message("Hello World", 50, '-', 'Left', 'Right'))
    Left-------------- Hello World --------------Right
    """
    message_size = len(message)
    left_size = len(left)
    right_size = len(right)
    fill_size = (length - (message_size + 2) - left_size - right_size)
    left_fill_size = fill_size // 2 + (fill_size % 2)
    right_fill_size = (fill_size // 2)

    new_message = u"{0}{1} {2} {3}{4}".format(left, fill_char * left_fill_size,
                                              message,
                                              fill_char * right_fill_size,
                                              right)
    return new_message


# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxxxxxxx DummyProgressbar - START xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# noinspection PyMethodMayBeStatic
[docs]class DummyProgressbar: # pragma: no cover """ Dummy progress bar that don't really do anything. The idea is that it can be used in place of the :class:`ProgressbarText` class, but without actually doing anything. See also -------- ProgressbarText """ def __init__(self, *args: Any, **kwargs: Any) -> None: """ Initializes the DummyProgressbar object. This method accepts any argument without errors, but they won't matter, since this class does nothing. """
[docs] def progress(self, count: int) -> None: """This `progress` method has the same signature from the one in the :class:`ProgressbarText` class. Nothing happens when this method is called. Parameters ---------- count : int Ignored """
# xxxxxxxxxx DummyProgressbar - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs]class ProgressBarBase: """ Base class for all ProgressBar classes. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. Notes ----- Derived classes should implement :func:`_update_iteration` and :func:`_display_current_progress`. Optionally derived class might also implement :func:`_perform_initialization` and :func:`_perform_finalizations` """ def __init__(self, finalcount: int): """ Initializes the progressbar object. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. """ self.finalcount = finalcount # This will be set to True after the `start` method is called to # initialize the progressbar. self._initialized = False # This will be set to true when the progress reaches 100%. When # this is True, any subsequent calls to the `progress` method will # be ignored. self._finalized = False # This variable will store the time when the `start` method was # called for the first time (either manually or in the `progress` # method. It will be used for tracking the elapsed time. self._start_time = 0.0 # This variable will store the time when the `stop` method was # called for the first time (either manually or in the `progress` # method. It will be used for tracking the elapsed time. self._stop_time = 0.0 @property def elapsed_time(self) -> str: """ Get method for the elapsed_time property. Returns ------- str The elapsed time. """ elapsed_time = 0.0 if self._initialized is True: if self._finalized is False: elapsed_time = time.time() - self._start_time else: elapsed_time = self._stop_time - self._start_time return pretty_time(elapsed_time)
[docs] def _count_to_percent(self, count: int) -> float: """ Convert a given count into the equivalent percentage. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount Returns ------- percentage : float The percentage that `count` is of self.finalcount (between 0 and 100) """ percentage = (count / float(self.finalcount)) * 100.0 return percentage
[docs] def _perform_initialization(self) -> None: """ Perform any initializations for the progressbar. This method should be implemented in sub-classes if any initialization code should be run. """
[docs] def _perform_finalizations(self) -> None: # pragma: nocover """ Perform any finalization (cleanings) after the progressbar stops. This method should be implemented in sub-classes if any finalization code should be run. """
[docs] @final def start(self) -> None: """ Start the progressbar. This method should be called just before the progressbar is used for the first time. Among possible other things, it will store the current time so that the elapsed time can be tracked. If is automatically called in the `progress` method, if not called before. """ if self._initialized is False: self._start_time = time.time() self._perform_initialization() self._initialized = True
[docs] @final def stop(self) -> None: """ Stop the progressbar. This method is automatically called in the `progress` method when the progress reaches 100%. If manually called, any subsequent call to the `progress` method will be ignored. """ if self._finalized is False: self._stop_time = time.time() # When progress reaches 100% we set the internal variable # to True so that any subsequent calls to the `progress` # method will be ignored. self._finalized = True self._perform_finalizations()
# pylint:disable=R0201,W0613
[docs] def _update_iteration(self, count: int) -> None: # pragma: no cover """ Update the progressbar according with the new `count`. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount """ raise NotImplementedError("Implement this method in a subclass")
[docs] def _display_current_progress(self) -> None: # pragma: nocover """ Refresh the progress representation. This method should be defined in a subclass. """ raise NotImplementedError("Implement this method in a subclass")
[docs] @final def progress(self, count: int) -> None: """ Updates the current progress. Calling this function will update the the current progress. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount Notes ----- How the progressbar is actually represented depends on the subclass. In the subclasses implement the `_update_iteration` method to update the current representation of the progressbar and the `_update_progress_display` to actually display the current progress. """ if self._finalized is False: # Start the progressbar. This only have an effect the first # time it is called. It initializes the elapsed time tracking # and call the _perform_initialization method to perform any # initialization. self.start() # Sanity check. If count is greater then self.finalcount we set # it to self.finalcount if count > self.finalcount: count = self.finalcount # Update the progressbar representation. this is up to the # subclass. Note that this method should not refresh the # progressbar, which is left to the _display_current_progress # method. self._update_iteration(count) # Refresh the progress representation. self._display_current_progress() # If count is equal to self.finalcount we have reached # 100%. In that case, we also write a final newline # character. if count == self.finalcount: self.stop()
def __call__(self, count: int) -> None: """ Updates the current progress. This method is the same as the :meth:`progress`. It is defined so that a progressbar object can behave like a function. Parameters ---------- count : int The new amount of progress. """ # noinspection PyArgumentList,PyTypeChecker self.progress(count)
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarTextBase - START xxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # The code here and in some of the derived classes is inspired in the code # located in # http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/ # /examples/notebooks/Progress%20Bars.ipynb # # noinspection PyAbstractClass
[docs]class ProgressbarTextBase(ProgressBarBase): # pylint: disable=R0902,W0223 """ Base class for Text progressbars. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional The character used to represent progress. message : str, optional A message to be shown in the top of the progressbar. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. Notes ----- Derived classes must implement at least `_update_iteration` and this method should update the `prog_bar` member variable with the text representation of the progress. """ def __init__(self, finalcount: int, progresschar: str = '*', message: str = '', output: Any = sys.stdout) -> None: """ Initializes the progressbar object. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional (default to '*') The character used to represent progress. message : str, optional A message to be shown in the top of the progressbar. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. """ super().__init__(finalcount) # This will be updated with the progress and should contain the # whole string representation of the progressbar. self.prog_bar = "Progress Representation" self.old_prog_bar = "" # character used to represent progress self.progresschar = progresschar # If output points to a file (and not to stdout) and this is set to # True, then the file will be erased after the progress finishes. self.delete_progress_file_after_completion = False # This should be a multiple of 10. The lower possible value is 40. self._width = 50 # By default, self._output points to sys.stdout so I can use the # write/flush methods to display the progress bar. self._output = output self._message = message # THIS WILL BE IGNORED # If true, an empty line will be printed when the progress finishes self._print_empty_line_at_the_end = True def __del__(self) -> None: """ Delete the output file if there is any and delete_progress_file_after_completion was set to True when the progressbar object is deleted. """ # In case the progressbar object is deleted before the progress # finishes the `stop` method will not be called and thus the output # file (if there is any) would not be deleted even if # delete_progress_file_after_completion was set to True. Therefore, # we implement the __del__ method here to call the # _maybe_delete_output_file method to do that. self._maybe_delete_output_file() # xxxxxxxxxx width property xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # Text progressbars have a width property indicating the width (in # number of characters) of the full progress. @property def width(self) -> int: """Get method for the width property.""" return self._width @width.setter def width(self, value: int) -> None: """ Set method for the width property. Parameters ---------- value : int """ # If value is lower than 40, the width will be set to 40. # If value is not a multiple of 10, width will be set to the # largest multiple of 10 which is lower then value. if value < 40: value = 40 self._width = value - (value % 10) # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs] def _get_percentage_representation(self, percent: float, central_message: str = '{percent}%', left_side: str = '[', right_side: str = ']') -> str: """ Get the percent representation as a string suitable to the text progressbar. Parameters ---------- percent : float The percentage to be represented. central_message : str A message that will be in the middle of the percentage bar. If there is the label '{percent}' in the central_message it will be replaced by the percentage. If there is the label '{elapsed_time}' in the central_message it will be replaced by the elapsed time. Note that this message should be very small, since it hides the progresschars. left_side : str The left side of the bar. right_side : str The right side of the bar. Returns ------- representation : str A string with the representation of the percentage. """ # Remove any fractional part percent_done = int(percent) elapsed_time = self.elapsed_time # Calculates how many characters are spent just for the sides. sides_length = len(left_side) + len(right_side) # The width should be large enough to contain both the left_side # and right_side and still have (reasonable) enough space for the # characters representing the progress. assert self.width > sides_length + 20 # Space that will be used bu the characters representing the # progress all_full = self.width - sides_length # Calculates how many characters will be used to represent the # `percent_done` value num_hashes = int((percent_done / 100.0) * all_full) prog_bar = (left_side + self.progresschar * num_hashes + ' ' * (all_full - num_hashes) + right_side) # Replace the center of prog_bar with the message central_message = central_message.format(percent=percent_done, elapsed_time=elapsed_time) pct_place = (len(prog_bar) // 2) - (len(str(central_message)) // 2) prog_bar = prog_bar[0:pct_place] + central_message + prog_bar[ pct_place + len(central_message):] return prog_bar
[docs] def _maybe_delete_output_file(self) -> None: """ Delete the output file (if there is any) when delete_progress_file_after_completion is set to True. """ if self.delete_progress_file_after_completion is True: # Try to get the file name associated with the output. If we # can get an actual file and # delete_progress_file_after_completion is set to True we will # delete that file try: name = self._output.name # We will only delete a file if the name does not point to # stdout. if name != '<stdout>': try: os.remove(name) except OSError: # Pragma: no cover pass except AttributeError: # pragma: no cover # If an attribute error was raised then the output is not a # file like object and therefore we don't need to delete # any file pass
[docs] def _perform_finalizations(self) -> None: """ Perform any finalization (cleanings) after the progressbar stops. """ if self._print_empty_line_at_the_end is True: # Print an empty line after the last iteration to be consistent # with the ProgressbarText class self._output.write(u"\n") # Flush everything to guarantee that at this point everything # is written to the output. self._output.flush() # This will only delete the output file if self._output # actually points to a file and if # self.delete_progress_file_after_completion is set to True self._maybe_delete_output_file()
[docs] def _display_current_progress(self) -> None: """ Refresh the progress representation. All text progressbars should implement the `_update_iteration` to update the `prog_bar` member variable with the text representation of the progressbar. This method is responsible to sending this text representation to the output. """ # We will only write the progress if it actually changed since # the last time. This is specially useful when the output is a # file and it will avoid writing many unnecessary equal lines to # the file. if self.old_prog_bar != self.prog_bar: # Save the current prog_bar variable before it is updated in # the _update_iteration method. self.old_prog_bar = self.prog_bar # We simple change the cursor to the beginning of the line and # write the string representation of the prog_bar variable. self._output.write(u'\r') self._output.write(u'{0}'.format(self.prog_bar)) # Flush everything to guarantee that at this point # everything is written to the output. self._output.flush()
# The string representation of a text progressbar should display the # whole progressbar def __str__(self) -> str: return str(self.prog_bar)
# xxxxxxxxxx ProgressbarTextBase - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarText - START xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # http:// # code.activestate.com/recipes/299207-console-text-progress-indicator-class/ # # CLASS NAME: ProgressbarText # # Original Author of the ProgressbarText class: # Larry Bates (lbates@syscononline.com) # Written: 12/09/2002 # # Modified by Darlan Cavalcante Moreira in 10/18/2011 # Released under: GNU GENERAL PUBLIC LICENSE
[docs]class ProgressbarText(ProgressbarTextBase): """ Class that prints a representation of the current progress as text. You can set the final count for the progressbar, the character that will be printed to represent progress and a small message indicating what the progress is related to. In order to use this class, create an object outsize a loop and inside the loop call the `progress` function with the number corresponding to the progress (between 0 and finalcount). Each time the `progress` function is called a number of characters will be printed to show the progress. Note that the number of printed characters correspond is equivalent to the progress minus what was already printed. See also -------- DummyProgressbar Examples -------- >> pb = ProgressbarText(100, 'o', "Hello Simulation") >> pb.start() ---------------- Hello Simulation ---------------1 1 2 3 4 5 6 7 8 9 0 ----0----0----0----0----0----0----0----0----0----0 >> pb.progress(20) oooooooooo >> pb.progress(40) oooooooooooooooooooo >> pb.progress(50) ooooooooooooooooooooooooo >> pb.progress(100) oooooooooooooooooooooooooooooooooooooooooooooooooo """ def __init__(self, finalcount: int, progresschar: str = '*', message: str = '', output: Any = sys.stdout): """ Initializes the ProgressbarText object. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional (default to '*') The character used to represent progress. message : str, optional A message to be shown in the top of the progressbar. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. """ super().__init__(finalcount, progresschar, message, output) # stores how many characters where already printed in a previous # call to the `progress` function self.progresscharcount = 0 def __get_initialization_bartitle(self) -> str: """ Get the progressbar title. The title is the first line of the progressbar initialization message. The bar title is something like the line below ------------------- % Progress ------------------1\n when there is no message. Returns ------- str The bar title. Notes ----- This method is only a helper method called in the `_perform_initialization` method. """ if len(self._message) != 0: message = self._message else: message = '% Progress' bartitle = center_message(message, self.width + 1, '-', '', '1\n') return bartitle def __get_initialization_markers(self) -> Tuple[str, str]: """ The initialization markers 'mark' the current progress in the progressbar that will appear below it. Returns ------- Tuple[str, str] A tuple containing the 'two lines' with the progress markers. That is, (marker_line1, marker_line2) Notes ----- This method is only a helper method called in the `_perform_initialization` method. """ steps = self.width // 10 # This division must be exact values1 = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0'] values2 = ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0'] common = "{0}{1}\n" line1sep = ' ' * (steps - 1) line1 = common.format(line1sep, line1sep.join(values1)) line2sep = '-' * (steps - 1) line2 = common.format(line2sep, line2sep.join(values2)) return line1, line2
[docs] def _perform_initialization(self) -> None: bartitle = self.__get_initialization_bartitle() marker_line1, marker_line2 = self.__get_initialization_markers() self._output.write(bartitle) self._output.write(marker_line1) self._output.write(marker_line2)
[docs] def _update_iteration(self, count: int) -> None: percentage = self._count_to_percent(count) # Set the self.prog_bar variable simply as a string containing as # many self.progresschar characters as necessary. self.prog_bar = self._get_percentage_representation(percentage, left_side='', right_side='', central_message='')
# xxxxxxxxxx ProgressbarText - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarText2 - START xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs]class ProgressbarText2(ProgressbarTextBase): """ Class that prints a representation of the current progress as text. You can set the final count for the progressbar, the character that will be printed to represent progress and a small message indicating what the progress is related to. In order to use this class, create an object outsize a loop and inside the loop call the `progress` function with the number corresponding to the progress (between 0 and finalcount). Each time the `progress` function is called a number of characters will be printed to show the progress. Note that the number of printed characters correspond is equivalent to the progress minus what was already printed. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional (default to '*') The character used to represent progress. message : str, optional A message to be shown in the right of the progressbar. If this message contains "{elapsed_time}" it will be replaced by the elapsed time. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. """ def __init__(self, finalcount: int, progresschar: str = '*', message: str = '', output: Any = sys.stdout) -> None: """ Initializes the progressbar object. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional (default to '*') The character used to represent progress. message : str, optional A message to be shown in the right of the progressbar. If this message contains "{elapsed_time}" it will be replaced by the elapsed time. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. """ super().__init__(finalcount, progresschar, message, output)
[docs] def _update_iteration(self, count: int) -> None: """ Update the self.prog_bar member variable according with the new `count`. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount """ # Convert `count` to the equivalent percentage percent_count = self._count_to_percent(count) # Update the self.prog_bar variable with (only) the current # percentage representation. The message is not included and will # be appended after this. self.prog_bar = self._get_percentage_representation( percent_count, central_message='{percent}%', left_side='[', right_side=']') # Append the message to the self.prog_bar variable if there is one # (or a default message if there is no message set).. if len(self._message) != 0: message = self._message.format(elapsed_time=self.elapsed_time) self.prog_bar += " {0}".format(message) else: self.prog_bar += ' %d of %d complete' % (count, self.finalcount)
# xxxxxxxxxx ProgressbarText2 - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarText3 - START xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs]class ProgressbarText3(ProgressbarTextBase): """ Class that prints a representation of the current progress as text. You can set the final count for the progressbar, the character that will be printed to represent progress and a small message indicating what the progress is related to. In order to use this class, create an object outsize a loop and inside the loop call the `progress` function with the number corresponding to the progress (between 0 and finalcount). Each time the `progress` function is called a number of characters will be printed to show the progress. Note that the number of printed characters correspond is equivalent to the progress minus what was already printed. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional (default to '*') The character used to represent progress. message : str, optional A message to be shown in the progressbar. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. """ def __init__(self, finalcount: int, progresschar: str = '*', message: str = '', output: Any = sys.stdout) -> None: """ Initializes the progressbar object. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. progresschar : str, optional (default to '*') The character used to represent progress. message : str, optional A message to be shown in the progressbar. output : File like object Object with a 'write' method, which controls where the progress-bar will be printed. By default sys.stdout is used, which means that the progress will be printed in the standard output. """ super().__init__(finalcount, progresschar, message, output) # The ProgressbarText3 class already prints an empty line after # each update. Therefore, there is no need to print an empty line # after all the progress has been finished. self._print_empty_line_at_the_end = False
[docs] def _update_iteration(self, count: int) -> None: """ Update the self.prog_bar member variable according with the new `count`. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount """ full_count = "{0}/{1}".format(count, self.finalcount) if len(self._message) != 0: self.prog_bar = center_message("{0} {1}".format( self._message, full_count), length=self.width, fill_char=self.progresschar) else: self.prog_bar = center_message(full_count, length=self.width, fill_char=self.progresschar)
# xxxxxxxxxx ProgressbarText3 - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressBarIPython xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs]class ProgressBarIPython(ProgressBarBase): # pragma: no cover """ Progressbar for IPython notebooks. The progressbar will be rendered using IPython widgets. """ def __init__(self, finalcount: int, side_message: Optional[str] = None) -> None: """ Initializes the progressbar object. Parameters ---------- finalcount : int The total amount that corresponds to 100%. Each time the progress method is called with a number that number is added with the current amount in the progressbar. When the amount becomes equal to `finalcount` the bar will be 100% complete. side_message : str A message to display on the right side of the progressbar. This is rendered as Latex and thus can contain math. """ if not _IPYTHON_AVAILABLE: raise ModuleNotFoundError( 'To use ProgressBarIPython please install IPython and ipywidgets' ) super().__init__(finalcount) # IPython already provide us a nice widget to represent # progressbars. self.prog_bar = FloatProgress() # If `side_message` is provided then we will add the message as a # LatexWidget with the message as the value. self.side_message = Label() if side_message is None: self.side_message.visible = False else: self.side_message.value = side_message self.side_message.disabled = True # In order to put the float progressbar and the message side by # side we use a container. self.container_widget = HBox() self.container_widget.children = [self.prog_bar, self.side_message]
[docs] def _update_iteration(self, count: int) -> None: """ Update the self.prog_bar member variable according with the new `count`. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount """ percentage = self._count_to_percent(count) # Update the IPython progressbar widget self.prog_bar.value = percentage
[docs] def _display_current_progress(self) -> None: """ Refresh the progress representation. """
# This method is called everytime the `progress` method is # called. However, for progressbar using IPython widgets we only # need to display the widget once and IPython will take care of # re-displaying it whenever the widget changes. Therefore, we don't # need to do anything here and we will display the widget in the # `_perform_initialization` method instead, since it is called only # once.
[docs] def _perform_initialization(self) -> None: """ Perform any initializations for the progressbar. This method should be implemented in sub-classes if any initialization code should be run. """ # Display the container with the progressbar and the message. # If no message was provided the the text widget inside the # container will be invisible display(self.container_widget)
# xxxxxxxxxx ProgressBarIPython - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarServerBase xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # pylint:disable=R0902
[docs]class ProgressbarDistributedServerBase: """ Base class for progressbars for distributed computations. In order to track the progress of distributed computations two classes are required, one that acts as a central point and is responsible to actually show the progress (the server), and other class that acts as a proxy (the client) and is responsible to sending the current progress to the server. There will be one object of the "server class" and one or more objects of the "client class", each one tracking the progress of one of the distributed computations. This class is a base class for the "server part", while the :class:`ProgressbarDistributedClientBase` class is a base class for the "client part". For a full implementation, see the :class:`ProgressbarMultiProcessServer` and :class:`ProgressbarMultiProcessClient` classes. Parameters ---------- progresschar : str Character used in the progressbar. message : str Message writen in the progressbar. sleep_time : float Time between progressbar updates (in seconds). filename : str If filename is None (default) then progress will be output to sys.stdout. If it is not None then the progress will be output to a file with name `filename`. This is usually useful for debugging and testing purposes. style : str The progressbar style. It controls which progressbar is used to display progress. It can be either 'text1', 'text2', 'text3', or 'ipython' """ def __init__(self, progresschar: str = '*', message: str = '', sleep_time: float = 1.0, filename: Optional[str] = None, style="text2"): """ Initializes the ProgressbarDistributedServerBase object. Parameters ---------- progresschar : str Character used in the progressbar. message : str Message writen in the progressbar. sleep_time : float Time between progressbar updates (in seconds). filename : str If filename is None (default) then progress will be output to sys.stdout. If it is not None then the progress will be output to a file with name `filename`. This is usually useful for debugging and testing purposes. style : str The progressbar style. It controls which progressbar is used to display progress. It can be either 'text1', 'text2', 'text3', or 'ipython' """ self._progresschar = progresschar self._message = message self._sleep_time = sleep_time self._last_id = -1 self._filename = filename self._manager = multiprocessing.Manager() self._client_data_list: List[Any] = self._manager.list() # pylint: disable=E1101 self._style = style # total_final_count will be updated each time the register_* # function is called. # # Note that we use a Manager.Value object to store the value # instead of using a simple integer because we want modifications # to this value to be seem by the other updating process even after # start_updater has been called if we are still in the # 'start_delay' time. # pylint: disable=E1101 self._total_final_count = self._manager.Value('L', 0) # self._update_process will store the process responsible to update # the progressbar. It will be created in the first time the # start_updater method is called. self._update_process: Optional[multiprocessing.Process] = None # The event will be set when the process updating the progressbar # is running and unset (clear) when it is stopped. # # Starts unset. Is is set in the _update_progress function self.running = multiprocessing.Event() # Each time the start_updater method is called this variable is # increased by one and each time the stop_updater method is called # it is decreased by one. A started update process will only be # stopped in the stop_updater method if this variables reaches 0. # This control is useful so that we can share the same progressbar # for multiple SimulationRunner objects. self._start_updater_count = 0 # # Used for time tracking # self._tic = multiprocessing.Value('f', 0.0) # self._toc = multiprocessing.Value('f', 0.0) @property def total_final_count(self) -> int: """ Get method for the total_final_count property. Returns ------- int The final count. """ return self._total_final_count.get()
[docs] def _update_client_data_list(self) -> None: """ This method process the communication between the client and the server. It should gather the information sent by the clients (proxy progressbars) and update the member variable self._client_data_list accordingly, which will then be automatically represented in the progressbar. """
# Implement this method in a derived class.
[docs] def register_client_and_get_proxy_progressbar( self, total_count: int) -> "ProgressbarDistributedClientBase": """ Register a new "client" for the progressbar and returns a new proxy progressbar that the client can use to update its progress by calling the `progress` method of this proxy progressbar. Parameters ---------- total_count : int Total count that will be equivalent to 100% for function. Returns ------- obj : Object of a class derived from ProgressbarDistributedClientBase The proxy progressbar. """
# Implement this method in a derived class # # Note: The first thing the implementation of this method in a # derived class must do is call the _register_client method to # register the new client and get its client_id, like the example # below # >>> client_id = self._register_client(total_count) # # After that the implementation of # register_client_and_get_proxy_progressbar can create the # corresponding proxy progressbar passing the client_id and any # other required data.
[docs] def _register_client(self, total_count: int) -> ClientID: """ Register a new "client" for the progressbar and return its `client_id`. These returned values must be passed to the corresponding proxy progressbar. Parameters ---------- total_count : int Total count that will be equivalent to 100% progress for the function. Returns ------- client_id : ClientID The client_id. The function whose process is tracked by the ProgressbarMultiProcessServer must update the element `client_id` with the current count. """ # Set self._total_final_count to the value currently stored plus # total_count. # Remember that the self._total_final_count variable is actually a # proxy to the true value (that is, self._total_final_count is a # multiprocessing.Manager.Value object). That is way we need the # two lines below. total_final_count = self.total_final_count self._total_final_count.set(total_final_count + total_count) # Update the last_id self._last_id += 1 # client_id that will be used by the function client_id = self._last_id self._client_data_list.append(0) return client_id
# Only called inside `_update_progress` def __cretae_inner_progressbar(self, output): if self._style == 'text1': return ProgressbarText(self.total_final_count, self._progresschar, self._message, output=output) if self._style == 'text3': return ProgressbarText3(self.total_final_count, self._progresschar, self._message, output=output) # Default style return ProgressbarText2(self.total_final_count, self._progresschar, self._message, output=output) # This method will be run in a different process. Because of this the # coverage program does not see that this method in run in the test code # even though we know it is run (otherwise no output would # appear). Therefore, we put the "pragma: no cover" line in it
[docs] def _update_progress(self, filename: Optional[str] = None, start_delay: float = 0.0) -> None: # pragma: no cover """ Collects the progress from each registered proxy progressbar and updates the actual visible progressbar. Parameters ---------- filename : str Name of a file where the data will be written to. If this is None then all progress will be printed in the standard output (default) start_delay : float, optional Delay in seconds before starting the progressbar. During this time it is still possible to register new clients and the progressbar will only be shown after this delay.. """ if start_delay > 0.0: time.sleep(start_delay) if self.total_final_count == 0: warnings.warn('No clients registered in the progressbar') if filename is None: output = sys.stdout else: output = open(filename, 'w') # pbar = ProgressbarText2(self.total_final_count, # self._progresschar, # self._message, # output=output) pbar = self.__cretae_inner_progressbar(output) count = 0 while count < self.total_final_count and self.running.is_set(): time.sleep(self._sleep_time) # Gather information from all client proxybars and update the # self._client_data_list member variable self._update_client_data_list() # Calculates the current total count from the # self._client_data_list count = sum(self._client_data_list) # Maybe a new client was registered. In that case # self.total_final_count changed and we need to reflect this in # the pbar.finalcount variable. pbar.finalcount = self.total_final_count # Represents the current total count in the progressbars pbar.progress(count) # If the self.running event was cleared (because the stop_updater # method was called) we most likely exited the while loop before # the progressbar was full (count is lower then the total final # count). If that is the case, let's set the progressbar to full # here. if count < self.total_final_count: pbar.progress(self.total_final_count) # It may exit the while loop in two situations: if count reached # the maximum allowed value, in which case the progressbar is full, # or if the self.running event was cleared in another # process. Since in the first case the event is still set, we clear # it here to have some consistence (a cleared event will always # mean that the progressbar is not running). self.running.clear() # self._toc.value = time.time() if self._filename is not None: output.close()
[docs] def start_updater(self, start_delay: float = 0.0) -> None: """ Start the process that updates the progressbar. Parameters ---------- start_delay : float Delay in seconds before starting the progressbar. During this time it is still possible to register new clients and the progressbar will only be shown after this delay.. Notes ----- If this method is called multiple times then the `stop_updater` method must be called the same number of times for the updater process to actually stop. """ if self.running.is_set() is False: # self._update_process stores the process responsible to update # the progressbar. It may be finished anytime by calling the # stop_updater method. Also, it is set as a daemon process so # that we don't get errors if the program closes before the # process updating the progressbar ends (because the user # forgot to call the stop_updater method). self._update_process = multiprocessing.Process( name="ProgressBarUpdater", target=self._update_progress, args=(self._filename, start_delay)) self._update_process.daemon = True self.running.set() self._update_process.start() self._start_updater_count += 1
[docs] def stop_updater(self, timeout: Optional[float] = None) -> None: """ Stop the process updating the progressbar. You should always call this function in your main process (the same that created the progressbar) after joining all the processes that update the progressbar. This guarantees that the progressbar updated any pending change and exited clearly. Parameters ---------- timeout : float The timeout to join for the process to stop. Notes ----- If the `start_updater` was called multiple times the process will only be stopped when `stop_updater` is called the same number of times. """ self._start_updater_count -= 1 if self._start_updater_count == 0: self.running.clear() # self._toc.value = time.time() assert (self._update_process is not None) self._update_process.join(timeout)
# # TODO: Check if the duration property work correctly # @property # def duration(self, ): # """Duration of the progress. # Returns # ------- # toc_minus_tic : float # The duration passed until the progressbar reaches 100%. # """ # # The progressbar is still running, calculate the duration since # # the beginning # if self.running.is_set(): # toc = time.time() # else: # toc = self._toc.value # return toc - self._tic.value
[docs]class ProgressbarDistributedClientBase(ProgressBarBase): """ Proxy progressbar that behaves like a ProgressbarText object, but is actually updating a shared (with other clients) progressbar. The basic idea is that this proxy progressbar has the "progress" method similar to the standard ProgressbarText class. However, when this method is called it will update a value that will be read by a "server progressbar" object which is responsible to actually show the current progress. Parameters ---------- client_id : ClientID The client ID. """ def __init__(self, client_id: ClientID, finalcount: int): """ """ super().__init__(finalcount) self.client_id = client_id
[docs] def _update_iteration(self, count: int) -> None: # pragma: no cover """ Update the progressbar according with the new `count`. Parameters ---------- count : int The current count to be represented in the progressbar. The progressbar represents this count as a percent value of self.finalcount """ raise NotImplementedError("Implement this method in a subclass")
[docs] def _display_current_progress(self) -> None: # pragma: nocover """ Refresh the progress representation. This method should be defined in a subclass. """ # There is nothing to do in a client progressbar pass
# xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarMultiProcessServer - START xxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs]class ProgressbarMultiProcessServer(ProgressbarDistributedServerBase): """Class that prints a representation of the current progress of multiple process as text. While the :class:`ProgressbarText` class only tracks the progress of a single process, the :class:`ProgressbarMultiProcessServer` class can track the joint progress of multiple processes. This may be used, for instance, when you parallelize some task using the multiprocessing module. Using the ProgressbarMultiProcessServer class requires a little more work than using the ProgressbarText class, as it is described in the following: 1. First you create an object of the ProgressbarMultiProcessServer class as usual. However, differently from the ProgressbarText class you don't pass the `finalcount` value to the progressbar yet. 2. After that, for each process to be tracked, call the :meth:`register_client_and_get_proxy_progressbar` method passing the number equivalent to full progress for **that process**. This function returns a "proxy progressbar" that behaves like a regular ProgressbarText. Pass that proxy progressbar as an argument to that process so that it can call its "progress" method. Each process that calls the "progress" method of the received proxy progressbar will actually update the progress of the main ProgressbarMultiProcessServer object. 3. Start all the processes and call the start_updater method of ProgressbarMultiProcessServer object so that the bar is updated by the different processes. 4. After joining all the process (all work is finished) call the stop_updater method of the ProgressbarMultiProcessServer object. Parameters ---------- progresschar : str Character used in the progressbar. message : str Message writen in the progressbar. sleep_time : float Time between progressbar updates (in seconds). filename : str If filename is None (default) then progress will be output to sys.stdout. If it is not None then the progress will be output to a file with name `filename`. This is usually useful for debugging and testing purposes. Examples -------- .. code-block:: python import multiprocessing # Create a ProgressbarMultiProcessServer object pb = ProgressbarMultiProcessServer(message="some message") # Creates a proxy progressbar for one process passing the value # corresponding to 100% progress for the first process proxybar1 = pb.register_client_and_get_proxy_progressbar(60) # Creates a proxy progressbar for another process proxybar2 = pb.register_client_and_get_proxy_progressbar(80) # Create the first process passing the first proxy progressbar as # an argument p1 = multiprocessing.Process(target=some_function, args=[proxybar1]) # Creates another process p2 = multiprocessing.Process(target=some_function, args=[proxybar2]) # Start both processes p1.start() p2.start() # Call the start_updater method of the ProgressbarMultiProcessServer pb.start_updater() # Joint the process and then call the stop_updater method of the # ProgressbarMultiProcessServer p1.join() p2.join() pb.stop_updater() """ def __init__(self, progresschar: str = '*', message: str = '', sleep_time: float = 1.0, filename: Optional[str] = None, style: str = "text2") -> None: """ Initializes the ProgressbarMultiProcessServer object. Parameters ---------- progresschar : str Character used in the progressbar. message : str Message writen in the progressbar. sleep_time : float Time between progressbar updates (in seconds). filename : str If filename is None (default) then progress will be output to sys.stdout. If it is not None then the progress will be output to a file with name `filename`. This is usually useful for debugging and testing purposes. """ super().__init__(progresschar, message, sleep_time, filename, style)
[docs] def _update_client_data_list(self) -> None: """ This method process the communication between the client and the server. """
# Note that since the proxybar (ProgressbarMultiProcessClient class) # for multiprocessing will directly modify the # self._client_data_list we don't need to implement a # _update_client_data_list method here in the # ProgressbarMultiProcessServer class.
[docs] def register_client_and_get_proxy_progressbar( self, total_count: int) -> "ProgressbarMultiProcessClient": """ Register a new "client" for the progressbar and returns a new proxy progressbar that the client can use to update its progress by calling the `progress` method of this proxy progressbar. The function whose process is tracked by the ProgressbarMultiProcessServer must must call the `progress` method of the returned ProgressbarMultiProcessClient object with the current count. This is a little less intrusive regarding the tracked function. Parameters ---------- total_count : int Total count that will be equivalent to 100% for function. Returns ------- obj : ProgressbarMultiProcessClient The proxy progressbar. """ client_id = self._register_client(total_count) return ProgressbarMultiProcessClient(client_id, self._client_data_list, total_count)
# Used by the ProgressbarMultiProcessServer class
[docs]class ProgressbarMultiProcessClient(ProgressbarDistributedClientBase): """ Proxy progressbar that behaves like a ProgressbarText object, but is actually updating a ProgressbarMultiProcessServer progressbar. The basic idea is that this proxy progressbar has the "progress" method similar to the standard ProgressbarText class. However, when this method is called it will update a value that will be read by a ProgressbarMultiProcessServer object instead. Parameters ---------- client_id : ClientID The client ID client_data_list : list The client data list """ def __init__(self, client_id: ClientID, client_data_list: List[Any], finalcount: int) -> None: """Initializes the ProgressbarMultiProcessClient object.""" super().__init__(client_id, finalcount) self._client_data_list = client_data_list
[docs] def _update_iteration(self, count: int) -> None: """Updates the proxy progress bar. Parameters ---------- count : int The new amount of progress. """ self._client_data_list[self.client_id] = count
# xxxxxxxxxx ProgressbarMultiProcessServer - END xxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxx ProgressbarZMQServer xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[docs]class ProgressbarZMQServer(ProgressbarDistributedServerBase): """ Distributed "server" progressbar using ZMQ sockets. In order to track the progress of distributed computations two classes are required, one that acts as a central point and is responsible to actually show the progress (the server), and other class that acts as a proxy (the client) and is responsible to sending the current progress to the server. There will be one object of the "server class" and one or more objects of the "client class", each one tracking the progress of one of the distributed computations. This class acts like the server. It creates a ZMQ socket which expects (string) messages in the form "client_id:current_progress", where the client_id is the ID of one client progressbar previously registered with the register_client_and_get_proxy_progressbar method while the current_progress is a "number" with the current progress of that client. Note that the client proxybar for this class is implemented in the ProgressbarZMQClient class. Parameters ---------- progresschar : str Character used in the progressbar. message : str Message writen in the progressbar. sleep_time : float Time between progressbar updates (in seconds). filename : str If filename is None (default) then progress will be output to sys.stdout. If it is not None then the progress will be output to a file with name `filename`. This is usually useful for debugging and testing purposes. ip : IPAddress An string representing the address of the server socket. Ex: '192.168.0.117', 'localhost', etc. port : PortNumber The port to bind the socket. """ def __init__(self, progresschar: str = '*', message: str = '', sleep_time: float = 1.0, filename: Optional[str] = None, ip: IPAddress = 'localhost', port: PortNumber = 7396, style: str = "text2") -> None: super().__init__(progresschar, message, sleep_time, filename, style) # Create a Multiprocessing namespace # pylint: disable=E1101 self._ns = self._manager.Namespace() # We store the IP and port of the socket in the Namespace, since # the socket will be created in a different process self._ns.ip = ip # type: ignore self._ns.port = port # type: ignore # This will be set to a ZMQ Context in the _update_progress method self._zmq_context: Optional[zmq.Context] = None # This will be set to a ZMQ Socket in the _update_progress method self._zmq_pull_socket: Optional[zmq.sugar.socket.Socket] = None def __repr__(self): return f"ProgressbarZMQServer(ip={self.ip}, port={self.port}, num_clients={self.num_clients})" @property def num_clients(self): """Number of registered clients""" return self._last_id + 1 @property def ip(self) -> IPAddress: """ Get method for the ip property. Returns ------- str The string representing the address of the server socket. """ return cast(IPAddress, self._ns.ip) # type: ignore @property def port(self) -> PortNumber: """ Get method for the port property. Returns ------- int The port used. """ return cast(PortNumber, self._ns.port) # type: ignore
[docs] def register_client_and_get_proxy_progressbar( self, total_count: int) -> "ProgressbarZMQClient": """ Register a new client progressbar and return a proxy to it. Parameters ---------- total_count : int The total count for the client we are registering. Returns ------- ProgressbarZMQClient The proxy progressbar. """ client_id = self._register_client(total_count) proxybar = ProgressbarZMQClient(client_id, self.ip, self.port, total_count) return proxybar
# noinspection PyUnresolvedReferences
[docs] def _update_progress(self, filename: Optional[str] = None, start_delay: float = 0.0) -> None: # pragma: no cover """ Collects the progress from each registered proxy progressbar and updates the actual visible progressbar. Parameters ---------- filename : str Name of a file where the data will be written to. If this is None then all progress will be printed in the standard output (default) start_delay : float Delay in seconds before starting the progressbar. During this time it is still possible to register new clients and the progressbar will only be shown after this delay. Notes ----- We re-implement it here only to create the ZMQ socket. After that we call the base class implementation of _update_progress method. Note that the _update_progress method in the base class calls the _update_client_data_list and we indeed re-implement this method in this class and use the socket created here in that implementation. """ # First we create the context and the socket. Then we bind the # socket to the respective ip:port. self._zmq_context = zmq.Context() self._zmq_pull_socket = self._zmq_context.socket(zmq.PULL) self._zmq_pull_socket.bind(u"tcp://*:%s" % self.port) ProgressbarDistributedServerBase._update_progress(self, filename)
# This method is called in the _update_progress, which is run in a # different process. Therefore, the python coverage program does not # detect that this method is actually run (and it is) and thus we set # the "pragma: no cover" comment here.
[docs] def _update_client_data_list(self) -> None: # pragma: no cover """ This method process the communication between the client and the server. This method will read the received messages in the socket which were sent by the clients (ProgressbarZMQClient objects) and update self._client_data_list variable accordingly. The messages are in the form "client_id:current_progress", which is parsed by the _parse_progress_message method. Notes ----- This method is called inside a loop in the _update_progress method. """ pending_messages = True while pending_messages is True and self.running.is_set(): try: # Try to read a message. If this fail we will get a # zmq.ZMQError exception and then pending_messages will be # set to False so that we exit the while loop. assert (self._zmq_pull_socket is not None) message = self._zmq_pull_socket.recv_string(flags=zmq.NOBLOCK) # If we are here that means that a new message was # successfully received from the client. Let's call the # _parse_progress_message method to parse the message and # update the self._client_data_list member variable. self._parse_progress_message(message) except zmq.ZMQError: pending_messages = False
# This method run in a different process and thus the python coverage # program does not detect it is run even when it is run. Therefore, we # set the "pragma: no cover" comment here.
[docs] def _parse_progress_message(self, message: str) -> None: # pragma: no cover """ Parse the message sent from the client proxy progressbars. The messages sent from the proxy progressbars are in the form 'client_id:current_count'. We need to set the element of index "client_id" in self._client_data_list to the value of "current_count". This method will simply parse the message and perform this operation. Parameters ---------- message : str A string in the form 'client_id:current_count'. """ client_id, current_count = map(int, message.split(":")) self._client_data_list[client_id] = current_count
# Used by the ProgressbarZMQServer class
[docs]class ProgressbarZMQClient(ProgressbarDistributedClientBase): """ Proxy progressbar that behaves like a ProgressbarText object, but is actually updating a ProgressbarZMQServer progressbar. The basic idea is that this proxy progressbar has the "progress" method similar to the standard ProgressbarText class. However, when this method is called it will update a value that will be read by a ProgressbarZMQServer object instead. Parameters ---------- client_id : ClientID The client ID. ip : IPAddress A string representing the IP address of the server. port : PortNumber The port number used by the server. """ def __init__(self, client_id: ClientID, ip: IPAddress, port: PortNumber, finalcount: int) -> None: super().__init__(client_id, finalcount) self.ip = ip self.port = port # ZMQ Variables: These variables will be set the first time the # progress method is called. self._zmq_context: Optional[zmq.Context] = None self._zmq_push_socket: Optional[zmq.sugar.socket.Socket] = None
[docs] def _update_iteration(self, count: int) -> None: """Updates the proxy progress bar. Parameters ---------- count : int The new amount of progress. """ # The message is a string composed of the client ID and the current # count message = "{0}:{1}".format(self.client_id, count) assert (self._zmq_push_socket is not None) self._zmq_push_socket.send_string(message, flags=zmq.NOBLOCK)
[docs] def _perform_initialization(self) -> None: """ Creates the "push socket", connects it to the socket of the main progressbar and then updates the progress. This function will be called only in the first time the "progress" method is called. Subsequent calls to "progress" will actually calls the "_progress" method. Parameters ---------- count : int The new amount of progress. """ self._zmq_context = zmq.Context() self._zmq_push_socket = self._zmq_context.socket(zmq.PUSH) self._zmq_push_socket.connect("tcp://{0}:{1}".format( self.ip, self.port)) # The default LINGER value for a ZMQ socket is -1, which means # "wait forever". That means that if the message was not received # by the server (the main progressbar) the process with the # push_socket will hang. Since we don't want that, we set the # LINGER option to 0 so that it does not wait for the message to be # received. self._zmq_push_socket.setsockopt(zmq.LINGER, 0)
# self._progress_func = ProgressbarZMQClient._progress # # noinspection PyArgumentList,PyTypeChecker # self._progress_func(self, self.finalcount) def __repr__(self): return f"ProgressbarZMQClient(client_id={self.client_id}, ip='{self.ip}', port={self.port}, finalcount={self.finalcount})"
# xxxxxxxxxx ProgressbarZMQServer - END xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx