Python programming multi-platform TI-84 / desktop

In this project I’ll show you how to compare directories, save the result, and process the result: all combined in one attractive GUI.

The first thing we’ll do: we have to find the right tools/methods in Python:
so I’ve googled on “python compare directories” and found this one on the official documentation:

https://docs.python.org/3/library/filecmp.html

Now let’s start! First we’ll create the project:

Create “CompareDirectories” Project

Share project on Github (optional, recommended)

Initial commit

Now we have an initial, almost empty “compareDirectories” project on Github. It will serve us as a backup as well.

We will open the project directly on Github now and we’ll add a readme to it:

Now we’re done and we can update our project in Pycharm (with pull).

Now it’s time to really start!
We will start with a “first try” copied from
https://docs.python.org/3/library/filecmp.html

from filecmp import dircmp
def print_diff_files(dcmp):
    for name in dcmp.diff_files:
        print("diff_file %s found in %s and %s" % (name, dcmp.left,
              dcmp.right))
    for sub_dcmp in dcmp.subdirs.values():
        print_diff_files(sub_dcmp)

dcmp = dircmp('dir1', 'dir2') 
print_diff_files(dcmp) 

I’ve changed the code like this:

def print_diff_files(dcmp):
    common_files = sorted(dcmp.common_files)
    for name in common_files:
        print("common_file %s found in %s and %s" % (name, dcmp.left,
              dcmp.right))
    left_only_files = sorted(dcmp.left_only)
    for name in left_only_files:
        print("left_only_file %s found in %s" % (name, dcmp.left))
    right_only_files = sorted(dcmp.right_only)
    for name in right_only_files:
        print("right_only_file %s found in %s " % (name, dcmp.left))
    for sub_dcmp in dcmp.subdirs.values():
        print_diff_files(sub_dcmp)

What is really amazing to me is the sheer amount of information you’ll get from this compare method: try to experiment with it in debug mode and you’ll see what I mean.

Start with the GUI first

We’ll build a very simple GUI to choose both directories. Afterward we’ll add an action to it.
As a base project we will use this one:
https://github.com/edleijnse/pythonGui

You’ll find the gui part in TaggerBizControlCentre.py

Now I’ve made a first button “compare from”:

self.btn_compare_from_dir = tk.Button(self.fr_buttons, text="COMPARE FROM directory",
                                      command=compareFromClicked, highlightbackground="cyan", bg="cyan")

While defining the button you can add a command to it, in this case: “compareFromClicked”.
In the command you can define what happens after you clicked the button.

def compareFromClicked():
    print("compare from clicked")
    mydir = open_directory(self.filearray[0], "directory to compare from")
    btn_compare_from_dir_txt_var.set(mydir)
    self.filearray[0]=mydir

The programmed action is like this: the program will ask you where to find the directory and store the value in 2 variabels: the first “btn_compare_from_dir_txt_var” is displayed as a label field right from the button. the second “self.filearray” is used to save the chosen directory.

In the same style I’ve added a “compare_to” button.
And I’ve added 2 methods for saving and reading the data in a file called

compareDirectoriesconfig.txt

So, now we have some basics to start.

Github

Project https://github.com/edleijnse/mailReader

In this project you’ll find a sample how to read items from Outlook, select some of them and save attachments to a directory. The filenames of the attachments are changed: there will be a receivement date added as a prefix to the filename

import win32com.client
import os
from datetime import datetime, timedelta

# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.


def extract_attachments(mailbox, restrictMessage, outputDir):
    # Use a breakpoint in the code line below to debug your script.
    print(f'Mailbox: {mailbox}')  # Press Ctrl+F8 to toggle the breakpoint.
    outlook = win32com.client.Dispatch('outlook.application')
    mapi = outlook.GetNamespace("MAPI")

    for root in mapi.Folders:
        try:
          if (mailbox in root.FolderPath):
             print ("FolderPath: " + root.FolderPath)
             for folder in root.Folders:
                 print("folder: " + folder.FolderPath)
                 messages = folder.Items
                 restrictedMessages = messages.Restrict(restrictMessage)
                 for message in list(restrictedMessages):
                    received = str(message.ReceivedTime)
                    print (message.SenderEmailAddress)
                    print (received[0:10])
                    receivedString = received[0:10] + "_"
                    for attachment in message.Attachments:
                       attachment.SaveASFile(os.path.join(outputDir, receivedString + attachment.FileName))
                       print(f"attachment {receivedString +  attachment.FileName}  saved")

        except:
            print("exception")

# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    outputDir = r"f:\swissedu_attachments"
    extract_attachments('ed@leijnse.info', "[SenderEmailAddress] = 'helena.dimi@windowslive.com'", outputDir)

# See PyCharm help at https://www.jetbrains.com/help/pycharm/

Project: https://github.com/edleijnse/wordDocumentReader

In this Python script you’ll find a sample how to traverse a directory with subdirectories, select Word document, extract the texts and make a new document file. At the end 2 summaries will be added: one with all the words and frequencies and another with the frequencies and words.

Sample “frequency / word”

37 we
38 about
38 from
38 this
39 B
39 C
39 D
39 YOUR
39 make
39 very
40 been
40 do
41 use
43 can
43 so
49 He
49 an
50 money

# This is a sample Python script.
from docx2python import docx2python
from collections import Counter

import os
import pandas as pd

# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.

def extract_words(filename, outputFile):
    print("---------------------------------------------------------------------------")
    outputFile.write("\n------------------------------------------------------------------------------------------------\n")
    print(filename)
    outputFile.write(filename+"\n")
    print("---------------------------------------------------------------------------")
    outputFile.write("------------------------------------------------------------------------------------------------\n")
    doc_result = docx2python(filename).text
    print(doc_result)
    outputFile.writelines(doc_result)


    # extract words in a table
    res = doc_result.split()
    return res
def print_tallied(sorted_tallied, outputFile, title):
    #print(sorted_tallied)
    outputFile.write(
        "\n----------------------------------------------------------------------------------------------\n")
    outputFile.write(title)
    outputFile.write(
        "\n----------------------------------------------------------------------------------------------\n")
    ii = 0
    for item in sorted_tallied:
        if (item[1]>0):
           if (item[0].isalpha()):
              print(str(item[0]) + ":" + str(item[1]))
              outputFile.write(str(item[0]) + ":" + str(item[1]) + "\n")
              ii = ii + 1
    print("total: " + str(ii))

    outputFile.write("total: " + str(ii))

def sort_panda(tallied, outputFile):
    outputFile.write(
        "\n----------------------------------------------------------------------------------------------\n")
    outputFile.write("summary words by frequency")
    outputFile.write(
        "\n----------------------------------------------------------------------------------------------\n")

    ii = 0
    wordTab = []
    countTab = []

    for item in tallied:
        if (item[1] > 0):
            if (item[0].isalpha()):
                wordTab.append(item[0])
                countTab.append(item[1])
                print(str(item[0]) + ":" + str(item[1]))
                ii = ii + 1
    data = {'Count': countTab, 'Word': wordTab}
    df = pd.DataFrame(data, columns=['Count', 'Word'])
    df.sort_values(by=['Count','Word'], inplace=True)
    for oneValue in df.values:
        print(str(oneValue[0]) + " " + oneValue[1])
        outputFile.write(str(oneValue[0]) + " " + oneValue[1] + "\n")

def word_document_reader(inputDir, outputFile):
    # Use a breakpoint in the code line below to debug your script.
    print(f'Hi, {inputDir}')  # Press Ctrl+F8 to toggle the breakpoint.
    import os

    total_res = []
    for path, currentDirectory, files in os.walk(inputDir):
        for file in files:
            filename = os.path.join(path, file)
            if ("doc" in filename):
                total_res = total_res + extract_words(filename, outputFile)
    tallied = Counter(total_res)
    sorted_tallied = sorted(tallied.items())
    print_tallied(sorted_tallied, outputFile, "summary of words")
    sort_panda(tallied.items(),outputFile)

# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    inputDir = r"f:\swissedu_attachments"
    outputFile = open(r"f:\swissedu.txt", "w", encoding="utf-8")


    word_document_reader(inputDir, outputFile)

    outputFile.close()

# See PyCharm help at https://www.jetbrains.com/help/pycharm/