Fancy console logger and wise assistant within your python projects

Overview

prology

I present a clever logger and assistant for python.

Features

  • 📌 Simple & Powerful Standard Output with Notes
  • Traceback Call Trees of every Event
  • 📄 File Logging
  • ⌨️ Keylogging
  • 📨 Mail Delivery
  • Benchmark Testing
  • 💤 Sleeper
  • 🔊 Text-to-Speech
  • 🚨 Alerts
  • ⚙️ Customizable
  • 🧲 Attractive

Dependencies

  • python 3.x
  • python3-pip (comes with python3 installation)

Acknowledging

Comes automatically with installation:

Index

  1. Intro
  2. Getting Started
     2.1 Installation
     2.2 Hello World
     2.3 Logging
  3. Usage
     3.1 logger
      3.1.1 logger.note
      3.1.2 logger.mail
     3.2 KeyLogger

Forget print()

Say good bye to print and hello to prology! This package was build to serve not only as a fancy console logger but moreover as a wise assistant within your python project to save you tons of hours for common routines. The prology logging goes beyond python, and yet may log every input event system wide. Not convinced? Take a look:

print('common printing ...')
>>> common printing ...
from prology.log import logger
log = logger()

log.note('fancy printing!')
>>> [info][26.09.20 14:39:23]: fancy printing!

Getting Started

Installation

Install within the prology root directory prompt

~ prology/$ pip3 install .

then import prology into a custom python e.g. /project/

from prology.log import logger
log = logger()

If an import error occurs during above initialization, this is probably because espeak is not installed yet. This can be solved by installing the requirements

~$ sudo apt update && sudo apt install espeak ffmpeg libespeak1

Hello World in prology


log.note('Hello World!')
~ /project/$ [info][26.09.20 14:39:40]: Hello World!

Logging


Every call of logger.note dynamically creates a format string with plenty of methods appended. This note may yield several blocks which are substring functionals. By default, notes yields a timestamp and a logType block which indicates errors, warnings, just an info, or custom made types, and it can be printed, saved (if a filepath was provided), forwarded to other functions (if forwarder was provided), delivered with email containing the block or the raw input and much more!
Save your printing blocks using a new logger instance:

log = logger('./log.txt', overwrite=True)
logger.note('This will be appended in the log file')
logger.note('This will be appended as well')

Every note call called from this logger will be printed if detatch flag is False (default) and logged into the provided path. The root-directory is always the current working directory see os.getcwd() which is your /project/ directory.

~ /project/$ nano log.txt

[info][26.09.20 13:58:42]: This will be appended in the log file
[info][26.09.20 13:58:42]: This will be appended as well

You have a large project with many cross imports or confusing function calls? You are bored searching for bugs throughout a long chain of calls?
No worries! prology keeps track of the function branch from which the logger.note method was called.

def brokenFunction():

    try:

        raise ValueError('This Function has errors')

    except Exception as err:

        log.note(err, logType='error', fTree=True, wait=1)

def parentCaller():

    return brokenFunction()

def grandParentCaller():

    return parentCaller()

grandParentCaller()
[error][26.09.20 16:21:52][call tree: grandParentCaller > parentCaller > brokenFunction > error]: This Function has errors
        Traceback (most recent call last):
          File "test.py", line 9, in brokenFunction
            raise ValueError('This Function has errors')
        ValueError: This Function has errors

In the above example the note contains the function tree fTree block which allows you to see the calling branch and the original input. Note that by default the exception stdout is appended and logged into the log.txt accordingly.


Built-In Text to Speech Synthesis

Bring your logger to life by one single bool flag

log.note('I am alive!', speak=True)

and listen to the voice of your logger. A useful option for alerting, informing or speech synth. development.



Usage prology.log.

logger(filepath=None, overwrite=False) [object]

Main object for logging.

  • filepath [kwarg] (str)
    Default: None
    Log file path. Absolute and relative paths as well as custom file extensions are possible. The root path is the current working directory.
  • overwrite [kwarg] (bool)
    Default: False
    Overwrite the file. If disabled you can call several logger instances from plenty apps which will all append logs to the same file but make sure to give every logger instance a custom logType to distinguish them.

logger.note(input='', inputCol=None, logType='info', logTypeCol=None,showExcept=True, timestamp=True, fTree=False, benchMark=None, detatch=False, save=True, deliverTo=None, subject=None, wait=None, speak=False, forward=True, forwardBlock=False) [method]

Main method for logging. The options can be altered via arguments.The created note creates a block and may inject e.g. a logType block, sleep timer, or forward it to another object.

  • input [kwarg] (object)
    Default: str('')
    The object which should be outputted. The provided object will be formatted into a string and added to the block.

  • inputCol [kwarg] (str)
    Default: None
    Color in which the terminal should print your input. If None the output will be standard white. Otherwise provide a color code such as '\033[93m' which is red.

  • logType [kwarg] (str)
    Default: 'info'
    Creates the provided string within brackets [logType] at the beginning of the block. The provided strings info, warn, error set pre-defined colors green, yellow, red, respectively. If you provide a string different from those three you can customize the color by the logTypeCol argument.
    Example:

    log = logger()
    log.note('good', logType='info')
    log.note('warning', logType='warn')
    log.note('bad', logType='error')
    # custom type
    log.note('custom message', logType='custom', logTypeCol='\033[94m')

    Console
    The red error logType will show the last catched exception unless the showExcept is disabled.

  • logTypeCol [kwarg] (str)
    Default: None
    Same type as inputCol. Changes the logType color in the terminal. See example in logType for better description.

  • showExcept [kwarg] (bool)
    Default: True
    Enable/Disable python exceptions in your block. This can be switched to True everytime there is no real python error.

  • timeStamp [kwarg] (bool)
    Default: True
    Enable/Disable date and time block in your note. By default a time stamp is printed [26.09.20 17:52:22].

  • fTree [kwarg] (bool)
    Default: False
    Enable/Disable the call tree printing in your note. See the getting started for better instance. The following call tree will be added to your note [call tree: grandParentCaller > parentCaller > Function > logTypeCall]. If a grandParent or parent is not found (as it is not defined for example), then those will not be displayed in the block.

  • benchMark [kwarg] (callable object or function)
    Default: None
    Perform a runtime benchmark test on arbitrary object or function calls.
    Example

    log = logger()
    
    class testObject:
    
        def __init__(self):
            self.load()
    
        def load(self):
            log.note('loaded')
            
    log.note(benchMark=testObject)
    [info][26.09.20 18:39:57]: loaded
    [info][26.09.20 18:39:57][benchmark: 0.029802322387695312 ms]: 

    The initialization of this object took ~0.03 milliseconds. Per default, benchmark blocks are logged normally.

  • detatch [kwarg] (bool)
    Default: False
    If enabled stdout will not be printed in console. All other processes will work normally.

  • save [kwarg] (bool)
    Default: True
    If disabled this block will not be saved to the filepath. If the filepath is not provided, nothing will happen.

  • deliverTo [kwarg] (str or list)
    Default: None
    Works only if the logger.email method was called in advance. Provide a list with contact names or str with a single contact wo which to deliver the block via mail. Choose the subject for the mail via the argument subject. If 'all' is provided, the block is sent to all known contacts specified in logger.email.
    Example

    log = logger()
    log.mail('[email protected]', 'decrypted password', contacts={'friend':'[email protected]'}, smtpServer='provider smtp', port=587)
            
    log.note('This is an important message!', deliverTo='friend', subject='Important!')
  • subject [kwarg] (str)
    Default: None
    Provide a subject for the deliverTo argument. If None, the subject will be set automatically.

  • wait [kwarg] (int)
    Default: None
    If activated i.e. if an integer is provided, the note call will sleep for this amount in seconds. This makes import time.sleep unnecessary.

  • speak [kwarg] (bool)
    Default: False
    If enabled the input will be played via audio (male, british, medium velocity). Note that except the forwarding, all other processes were finished. The forwarding will continue after the speech playback is finished which may lead to wait times in your code.

  • forward [kwarg] (bool)
    Default: True
    If enabled the input is returned.
    Example
    One can basically pass through the input. For this call a detatched note call which only passes the input and a second which catches the return and logs it.

    def foo():
        return True
    
    value = log.note(foo(), detatch=True, save=False)
    log.note(value)

    If detatch is deactivated the value will be loged twice in the console. If save is True it will be saved twice.

  • forwardBlock [kwarg] (bool)
    Default: False
    Works only if forward is True. If enabled the block will be forwarded, otherwise only the input will be forwarded as return.


mail

logger.mail(address, password, contacts, smtpServer=None, port=587) [method]

Initializes the mail service. This method is mandatory for sending mails and should be called at the beginning of the script. For example see deliverTo.

  • address [arg] (str)
    Provide a sender email address.
  • password [arg] (str)
    Provide a corresponding password.
  • contact [arg] (dict)
    Provide a dict object filled with contacts by the scheme contact_name : contact_email both as string.
  • smtpServer[arg] (str)
    Smpt server of the sender's provider. Optional.
  • port[arg] (int)
    Provider port.

keyLogger

keyLogger(filepath=None, overwrite=False) [object]

Wrapped logger instance keyLogger(logger) which takes same kwargs. After calling method start() all key events will be logged to the file in filepath. The logger is by default detatched. To stop the logger, simply type killlogger.

Example

from prology.log import keyLogger
kl = keyLogger('/path/to/log.txt')
kl.start()
Owner
BoB
python after accidentally killing a programmer be like 'this mess was not indented' ssssssss
BoB
Robust and effective logging for Python 2 and 3.

Robust and effective logging for Python 2 and 3.

Chris Hager 1k Jan 04, 2023
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

ml-monitoring Jeremy Jordan This repository provides an example setup for monitoring an ML system deployed on Kubernetes.

Jeremy Jordan 176 Jan 01, 2023
Rich is a Python library for rich text and beautiful formatting in the terminal.

Rich 中文 readme • lengua española readme • Läs på svenska Rich is a Python library for rich text and beautiful formatting in the terminal. The Rich API

Will McGugan 41.5k Jan 07, 2023
A cool logging replacement for Python.

Welcome to Logbook Travis AppVeyor Supported Versions Latest Version Test Coverage Logbook is a nice logging replacement. It should be easy to setup,

1.4k Nov 11, 2022
Colored terminal output for Python's logging module

coloredlogs: Colored terminal output for Python's logging module The coloredlogs package enables colored terminal output for Python's logging module.

Peter Odding 496 Dec 30, 2022
A new kind of Progress Bar, with real time throughput, eta and very cool animations!

alive-progress :) A new kind of Progress Bar, with real-time throughput, eta and very cool animations! Ever found yourself in a remote ssh session, do

Rogério Sampaio de Almeida 4k Dec 30, 2022
A very basic esp32-based logic analyzer capable of sampling digital signals at up to ~3.2MHz.

A very basic esp32-based logic analyzer capable of sampling digital signals at up to ~3.2MHz.

Davide Della Giustina 43 Dec 27, 2022
Espion is a mini-keylogger tool that keeps track of all keys a user presses on his/her keyboard

Espion is a mini-keylogger tool that keeps track of all keys a user presses on his/her keyboard. The details get displayed on the terminal window and also stored in a log file.

Anurag.R.Simha 1 Apr 24, 2022
Debugging-friendly exceptions for Python

Better tracebacks This is a more helpful version of Python's built-in exception message: It shows more code context and the current values of nearby v

Clemens Korndörfer 1.2k Dec 28, 2022
A Prometheus exporter for monitoring & analyzing Grafana Labs' technical documentation

grafana-docs-exporter A Prometheus exporter for monitoring & analyzing Grafana Labs' technical documentation Here is the public endpoint.

Matt Abrams 5 May 02, 2022
Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"

Text progress bar library for Python. Travis status: Coverage: Install The package can be installed through pip (this is the recommended method): pip

Rick van Hattem 795 Dec 18, 2022
Python logging made (stupidly) simple

Loguru is a library which aims to bring enjoyable logging in Python. Did you ever feel lazy about configuring a logger and used print() instead?... I

13.7k Jan 02, 2023
A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics

A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics (so breakpoint(), etc work as normal)

Greg Brockman 7 Nov 30, 2022
pyEventLogger - a simple Python Library for making customized Logs of certain events that occur in a program

pyEventLogger is a simple Python Library for making customized Logs of certain events that occur in a program. The logs can be fully customized and can be printed in colored format or can be stored i

Siddhesh Chavan 2 Nov 03, 2022
APT-Hunter is Threat Hunting tool for windows event logs

APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to provide detect APT movements hidden in the sea of windows event logs to decrease the time to uncover susp

824 Jan 08, 2023
Python bindings for g3log

g3logPython Python bindings for g3log This library provides python3 bindings for g3log + g3sinks (currently logrotate, syslog, and a color-terminal ou

4 May 21, 2021
This is a wonderful simple python tool used to store the keyboard log.

Keylogger This is a wonderful simple python tool used to store the keyboard log. Record your keys. It will capture passwords and credentials in a comp

Rithin Lehan 2 Nov 25, 2021
🐑 Syslog Simulator hazır veya kullanıcıların eklediği logları belirtilen adreslere ve port'a seçilen döngüde syslog ile gönderilmesini sağlayan araçtır. | 🇹🇷

syslogsimulator hazır ürün loglarını SIEM veya log toplayıcısına istediğiniz portta belirli sürelerde göndermeyi sağlayan küçük bir araçtır.

Enes Aydın 3 Sep 28, 2021
Ransomware leak site monitoring

RansomWatch RansomWatch is a ransomware leak site monitoring tool. It will scrape all of the entries on various ransomware leak sites, store the data

Zander Work 278 Dec 31, 2022
Beautifully colored, quick and simple Python logging

Python Quick Logging | QLogging Beautifully colored, quick and simple Python logging. This logger is based on Python logging package Screenshots: Term

45 Sep 25, 2022