GitLocker: The Coding Marketplace

Description:

signalelogging 0.5.4

Signale.py
Elegant Console Logger For Python Command-Line Apps

Installation
Signale.py can be installed using pip.
[sudo] pip install signalepy

Usage
Package consists of a class Signale, it is the main constructor class. The object created has all the logger functions in it.
Using Loggers
Each logger function takes four arguments:-

text
prefix ( Optional )
suffix ( Optional )
level ( Optional )

They all are available in the logger object. To create one do this:-
from signalepy import Signale

logger = Signale()

Now you can use the default loggers using this object like:-
...

logger.success("Started Successfully", prefix="Debugger")
logger.warning("`a` function is deprecated", suffix="main.py")
logger.complete("Run Complete")

...

This will produce the following result:-

View All Available Loggers

simple
success
error
exception (same as error, but also prints a formatted stack backtrace)
warning (=warn)
start
stop
watch
important
pending
complete
debug
xdebug
pause
info
like
center
bold
underline
reversed
coloured (=colored)

Scoped Loggers
To create scoped loggers, define the scope field in the options argument of constructor like:-
from signalepy import Signale

logger = Signale({
"scope": "global scope"
})
logger.success("Scoped Logger Works!")

This will produce the following result:-

You also create multiple scopes by setting the scope field to a list of strings like:-
from signalepy import Signale

logger = Signale({
"scope": ["global scope", "inner scope"]
})
logger.success("Scoped Logger Works!")

This will produce the following result:-

You can also create scoped a logger which is just clone of other by using by using the scoped function like this:-
from signalepy import Signale

logger = Signale({
"scope": "global scope"
})

logger2 = logger.scoped("inner")
logger2.like("I love Signale.py", prefix="Shardul Nalegave", suffix="Creator")

This will produce the following result:-

Note:- All the configuration will be copied to the new logger just the scope will be extended.

Filtering With Levels
All logging output can be filtered based on levels and thresholds. All logging
methods have an optional level argument, pre-filled with one of XDEBUG,
DEBUG, INFO, WARNING, ERROR, or CRITICAL. For most, the default
should be obvious, the others use INFO.
By default, all levels are visible. The threshold of visibility can be raised
with the set_threshold(scope, level) module function globally, where scope
is the name of a scope, or None (aka GLOBAL_SCOPE). The levels can also
be specified as an uppercase string.
Any of the named scopes associated with a logger with a defined threshold will
have to be surpassed by the level. If there is no explicit threshold for any
named scopes, the GLOBAL_SCOPE will be used.
This means that the threshold of any named scopes can be raised or lowered
independent of the global scope's threshold. However, for named scopes with a
specified threshold, the lowest threshold of them will be used; i.e., it is not
possible to raise the threshold for a sub-scope.

Aligning labels
The module supports a function set_align(left, right), which allows for the
alignment of scopes and labels. Default are strings " " and ": " for left
and right, which will be put before/after the scope and labels. These strings
can be set to different strings. Alternatively, they can be changed to numbers,
to specify the width of the respective fields. Care should be taken that the
numbers are chosen large enough to make things aligned.

Custom Loggers
Custom loggers can be created by passing a array of custom logger configuration to the field custom in the options passed to the constructor. Even clone loggers inherit the parent's custom loggers. For example:-
from signalepy import Signale

logger = Signale({
"scope": "global scope",
"custom": [
{
"badge": "!",
"label": "Attention",
"color": "red",
"name": "attention"
}
]
})

logger2 = logger.scoped("inner")

logger.attention("It Works!")
logger2.attention("With Logger2")

This will produce the following result:-

Underlined Labels
You can set labels to be underlined by setting the underlined field to True in the options passed to the constructor. For example:-
from signalepy import Signale

s = Signale({
"underlined": True
})
s.center("Testing Logger")
s.simple("ABC", prefix="Debugger", suffix="xyz")
s.info("Starting", prefix="Debugger")
s.success("Started Successfully", prefix="Debugger", suffix="xyz")
s.watch("Watching All Files", prefix="Debugger")
s.error("Something Went Wrong", prefix="Debugger")
s.warning("Deprecation Warning", prefix="Debugger")
s.pending("Postponed", prefix="Debugger")
s.debug("Found A Bug on L55", prefix="Debugger")
s.start("Started New Process", prefix="Debugger")
s.pause("Process Paused", prefix="Debugger")
s.complete("Task Completed", prefix="Debugger")
s.important("New Update Available. Please Update!", prefix="Debugger")
s.like("I Love Signale", prefix="Debugger")
s.stop("Stopping", prefix="Debugger")

This will produce the following result:-

Options
Options taken by constructor

scope

Type: str or list

Signale Logger Scope

underlined

Type: bool

Labels Should Be Underlined Or Not

ansi

Type: bool or None

Whether To Use ANSI Sequences. None will autodetect whether stdout is a TTY and only use color there.

custom

Type: list

List of custom logger configuration.

Configuration Type: dict
Custom Logger Configuration Dictionary

Keys

name

Type: str

Name of the logger

label

Type: str

Label displayed beside the icon ( colored text )

badge

Type: str

Icon

color

Type: str

Color of the icon and label. Should be from:-

red
dark
blue
pink
green
grey
purple
yellow
cyan
reset (color reset code)

API

logger = Signale(<options>)

Signale

Type: class

Signale class imported from signalepy module

options

Type: dict

Options Dictionary for logger.

Returns: Signale Logger Object

Logger object which can be used for logging

logger.<logger>(message="", prefix="", suffix="")

logger

Type: function

Can be any default logger

message

Type: str

Message to be displayed

prefix

Type: str
Required: False

Prefix text

suffix

Type: str
Required: False

Suffix text

Returns: None

logger2 = logger.scoped(<new scope>)

logger

Type: Signale Logger Object

Parent Logger

new scope

Type: str

New Scope Name

Returns: Signale Logger Object

Clone Logger object with extended scope