toolboxy 0.1.2

This repository is a collection of tools for developers to easily access relevant solutions for development in order to accelerate their workflow. It provides a variety of resources that are constantly used.

toolboxy

This repository is a collection of tools for developers. The goal is to offer a variety of resources that are constantly used, in order to accelerate the workflow. It is a way to quickly and easily access relevant solutions for development.

The functionality is diverse, some examples of code use are listed below. Feel free to suggest new functionality or directly contribute to the development of this repository.

Language

The repository, as well as the docstrings of the functions, were developed with support for English and Brazilian Portuguese in order to facilitate access to functionality.

• English Readme

• Português-br Readme

Table of Contents

• Installation
• Usage
  • Web Scrapping
  • Error Identification
  • File Manipulation
  • Git Tools
  • Windows Tools
  • Optimization
  • Miscellaneous
  • Free APIs
• Credits

Installation

To install, simply open the terminal and enter the following command:

pip install toolboxy

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Usage

Web Scrapping

Convert header to Python dictionary

import toolboxy

headers = """sec-ch-ua-platform: "Windows"
sec-fetch-dest: document
sec-fetch-mode: navigate
sec-fetch-site: same-origin
user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36"""

headers_dict = toolboxy.chrome2dict(headers_str=headers)

Save source code in text file

import toolboxy

url = 'https://raw.githubusercontent.com/Lima-e-Silva/toolboxy/main/README.md'

toolboxy.html2txt(url=url, output_path='Github-toolboxy.txt')

Check if a given IP address and port can be used as a proxy

import toolboxy

# IP addresses and respective ports can be found here: "https://free-proxy-list.net"
ip = '80.252.5.34'
port = '7001'

if toolboxy.verify_proxy(ip=ip, port=port):
   print('IP and port are functional!')

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Error Identification

Run a function with error logging

import toolboxy

# Function that is experiencing errors
def foo(a,b):
   return a/b

toolboxy.debug_function(foo, a=1, b=0, output='logfile')

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File Manipulation

Create configuration file (cfg)

import toolboxy

config_dict = {
   'section': {
       'A': '1',
       'B': '2'
   }
}

toolboxy.create_cfg(file='config.cfg', cfg_dict=config_dict)

Read a configuration file (cfg)

import toolboxy

config_dict = toolboxy.read_cfg(file='config.cfg')

Create file backup

import toolboxy

toolboxy.backup(file='important_file.txt',
               output_path='backups/security_copies')

Verify file integrity or get hashes

import toolboxy

if toolboxy.check_hash('file.txt', 'backup.txt'):
   print('Integrity Verified')

file_hash = toolboxy.check_hash('file.txt')

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Git Tools

Create a virtual environment

import toolboxy

toolboxy.create_env()

Create a license file

import toolboxy

toolboxy.license(license_type='MIT', name='Luiz Paulo Lima e Silva')

Generate a .gitignore file based on a standard template

import toolboxy

toolboxy.git_ignore(folders=['personal-folder'], extensions=['xlsx', 'pdf'])

Create requirements.txt

import toolboxy

toolboxy.requirements()

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Windows Tools

Create Windows notification

import toolboxy

toolboxy.notify(
   id='toolboxy',
   title='Demonstration',
   message='This notification is merely a demonstration',
   buttons={'Open link': 'https://github.com/Lima-e-Silva/toolboxy/'},
   sound=True,
   audio_loop=False)

Schedule computer shutdown

import toolboxy

toolboxy.shutdown(time=3600, message="Time to sleep Zzz...")

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Optimization

Generate function performance profile

import toolboxy

def foo(x, y=3):
   for n in range(x):
       print(n**y)

toolboxy.prof('output', foo, 100, y=2)

Calculate the elapsed time while running a function

import toolboxy

def foo(n):
   values = list()
   for i in range(n):
       for _ in range(i):
           values.append(i)
   print(values)

print(toolboxy.elapsed_clocktime(foo, 100))

Display the elapsed CPU time while running a function

import toolboxy

def foo(n):
   values = list()
   for i in range(n):
       for _ in range(i):
           values.append(i)
   print(values)

toolboxy.elapsed_cputime(foo, 100)

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Miscellaneous

Displays strings in console with delay (like typing)

import toolboxy

toolboxy.delay_print('Hello World!')

Generates a docstring (according to the repository pattern) for a function

import toolboxy


def my_function():
   print("this is my function")


print(toolboxy.gpt_docstring(my_function,api_key="YOUR_API_KEY"))

# Output:
# """
# English:
# ----------
# Prints a string to the console.
#
# Returns
# -------
# None
#
# Português (brasileiro):
# ----------
# Imprime uma string no console.
#
# Retorna
# -------
# None
# """

# You can also store your api_key in a .env file then call the function without specifying the api_key.
# Example:
# toolboxy.gpt_docstring(my_function)

Generates a unique identification string

import toolboxy

id = toolboxy.unique_id(length=6,
                       letters=True,
                       numbers=True,
                       lower_case=False,
                       blocks=4)

# Example output: 0AMKPJ-LITCGF-N5A1LM-TCSHZF

Generate QR Code for a link

import toolboxy

toolboxy.QRcode(url='https://github.com/Lima-e-Silva/toolboxy/',
               size=150,
               output='My QR Code')

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Free APIs

Create push notification (mobile)

import toolboxy

TOPIC = 'notifications'  # More information here: https://ntfy.sh

toolboxy.smartphone_notify(topic=TOPIC,
                          message='This is a demonstration notification',
                          title='Test Notification')

Shorten URL

import toolboxy

url = 'https://www.google.com.br'

if short:= toolboxy.short_url(url):
   print(short)

# Example Output: https://gotiny.cc/xr4cs6

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Credits

Due to the nature of the repository, many of the implemented functions are full of dependencies. Therefore, it is essential to explicitly acknowledge the contribution of the community as a way of thanking them for the tools provided. Below is a list of the libraries and resources used and their respective licenses:

Library	License
BeautifulSoup	MIT
loguru	MIT
openai	MIT
ntfy	Apache 2.0 - GPL 2.0
pipreqs	Apache 2.0
pyperclip	BSD-3-Clause
python-dotenv	BSD-3-Clause
requests	Apache 2.0
setuptools	MIT
snakeviz	License
winotify	MIT

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