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PythonToolsKit 1.2.6
PythonToolsKit
Description
This package implements useful tools and functions for producing python packages or tools implemented in python.
Features implemented:
Timeout:
Timeout decorator using MultiThreading
Timeout decorator using MultiProcessing
Timeout decorator using signal (UNIX only)
Terminal: ANSI features for terminal (color, position of the cursor, style...)
StringF:
Format the strings length
Make a table from Sequence of strings
Make a table of Attribute/Value from python object
PrintF:
Print states of tasks/programs
Print info, check OK/NOK, error... with prefix and color management
Process: generator to read process output lines in real time
Logs
Default logger builder
Decorator trace function (log the beginning and end of function execution)
Colored logger (StreamHandler only)
CSV formatter (logs in CSV format)
Handler for compressed log file rotation and store indefinitely
GetPass: a getpass function showing "*"
Encodings:
Generator to obtain probable encodings
Function to try to decode the data with probable encodings
Fast Base64 functions (without types/regex checks)
DictObject:
Dynamic object (build from dict)
JsonDeserializer
CsvDeserializer
Report:
Report as text/markdown
Report as CSV
Report as JSON
Report as HTML
Statistics
Sort and filter elements in the reports
The frequency and percentage of filtered elements
urlopen:
New urlopen based on urllib.request with a easiest way to manage HTTP error code (using decorator)
Dict:
Clean dict (for example, after loading the API response, you want to keep only certain informations)
Operator (some basic functions callable from operator)
List:
Operator (some basic functions callable from operator)
Tuple:
Operator (some basic functions callable from operator)
Function:
Operator (some basic functions callable from operator)
Arguments:
Password and password prompt
Input file and stdin
Output file and stdout
Verbose mode
Debug mode
Thread:
Join all
Class SimpleThread
Thread decorator
Import:
import from path/filename
GetFile:
Research an existant file from current directory and lib directory
Open an existant file from current directory or lib directory
ScapyTools:
Command line arguments for scapy (ArgumentParser with an optional argument "interface" by default and iface research)
GetType
Type string value (None, bool, int, float, IP)
Numbers (int, float) and IP/network generator from string
Random: Get random strings (random length, generator, check for strong password, secure, urlsafe, ...)
Json:
Load invalid JSON
Correct invalid JSON
WindowsTerminal:
Activate/desactivate temporary/persistent virtual terminal (colors, font, ...) on Windows
Set temporary/persistent terminal transparency on Windows
Colors:
Build 8bits-color byte
Get 3 bytes color from HTML/CSS colors (#HEX, rgb function and rgba function)
Check and safe methods are available for all these features
DataAnalysis:
Data statistics
frequences (pourcent)
Keys
Values
Keys and values
Keys and values counters
averages
variances
deviations
medians
sum
max
min
Data filtering
Counter/getter
Count/get values greater than
Count/get values lesser than
Count value equal to
Count different values by key
Sort
Values
Keys
Values counters
Values sum
Generate chart (using matplotlib)
statistictypes
valuetypes (values)
valuetypes (counters)
Print data tables
statistictypes
dictionnaries
valuetypes
Group data by values
RecursionDebug: Help you to debug RecursionError
OrdDict: A fast and powerful Ordered Dict
Characters: Returns integers, string (latin-1), binary and hexadecimal from integers, string (latin-1), binary or hexadecimal
DebugEncoding: Found used encoding when you have encoding problems
Requirements
This package require:
python3
python3 Standard Library
To use PythonToolsKit.ScapyTools you need Scapy, but is not installed by default (because this is the only module that needs it), install it with python3 -m pip install scapy
To use PythonToolsKit.DataAnalysis.show_chart you need matplotlib, but is not installed by default (because this is the only function that needs it), install it with python3 -m pip install matplotlib
Installation
pip install PythonToolsKit
Usages
Examples with responses (mode console) are available in HTML documentation.
Note for import: add PythonToolsKit.<module>
from PythonToolsKit.Timeout import *
import PythonToolsKit.Timeout
Tools
Characters
python3 Characters.pyz mystring
python3 -m PythonToolsKit.Characters integers 97,98,99
Characters string abc
Characters hexa 616263
Characters hexa '61-62-63'
Characters hexa '61 62 63'
Characters hexa '61:62:63'
Characters binary '1100001 1100010 1100011'
python3 DebugEncoding.pyz éêâ --bad-values "‚ˆƒ"
python3 -m PythonToolsKit.DebugEncoding éêâ --decoding cp1252 --bad-values "‚ˆƒ" --json
DebugEncoding éêâ
DebugEncoding éêâ --encoding cp437
Unittests
For GetType and Json, Encodings, Colors and WindowsTerminal modules i use doctest (unittests in documentation) and coverage:
python3 GetType.py # run doctest with verbose mode
python3 -m doctest GetType.py # run doctest without verbose mode
coverage run GetType.py # Calcul coverage
coverage report # Report in console
coverage html # Report in HTML page
Module
Coverage
Statements
missing
GetType.py
100%
130
000
Json.py
100%
046
000
Encodings.py
100%
054
000
WindowsTerminal.py
094%
096
006
Colors.py
100%
176
000
DataAnalysis.py
100%
290
000
Report.py
099%
160
001
StringF.py
100%
067
000
OrdDict.py
100%
172
000
Characters.py
078%
063
014
Links
Github Page
Documentation Timeout
Documentation Terminal
Documentation StringF
Documentation PrintF
Documentation Process
Documentation Logs
Documentation GetPass
Documentation Encodings
Documentation DictObject
Documentation Report
Documentation urlopen
Documentation Dict
Documentation Arguments
Documentation Tuple
Documentation List
Documentation Function
Documentation Thread
Documentation Import
Documentation ScapyTools
Documentation GetFile
Documentation GetType
Documentation Random
Documentation Json
Documentation WindowsTerminal
Documentation Colors
Documentation DataAnalysis
Documentation RecursionDebug
Documentation OrdDict
Documentation Characters
Executable Characters
Documentation DebugEncoding
Executable DebugEncoding
Pypi package
Licence
Licensed under the GPL, version 3.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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