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A Python library for simple logging, json file operations, Maple file format operations, and console color utilities.

Project description

MapleX

GitHub Tag GitHub last commit PyPI - Version PyPI - Downloads

    MapleX is a Python library for simple logging, json file operations, Maple file format operations, and console color utilities.

    You can install the package from pip with the following command.

pip install MapleX

Logger Class

    Logger is a logging object for Python applications. It outputs application logs to log files and to console (standard output).

    Easy and simple enough to use, yet highly practical. The best logging library for beginners and for personal projects.

Beginner Friendly

Color Highlited Output

    The output will be color-highlighted for better analysis based on the log level. (Not tested on macOS, and you need Windows Terminal for Windows OS)

Log output sample image

Outputs Stack Trace

    You can use a function to outputs error message and the stack trace at once.

Stack Trace output sample image

Logger Sample

import maplex

logger = maplex.getLogger("FunctionName")
logger.info("Hello there!")

This outputs to the console:

[INFO ][FunctionName] <module>(4) Hello there!

Also outputs to the log file:

(PsNo) yyyy-MM-dd HH:mm:ss.fff [INFO ][FunctionName] <module>(4) Hello there!

More details

Logging Tips

MapleJson

    MapleJson class is a library class for converting data between dict data and JSON-formatted file data.

    You can read, write, and also encrypt a JSON file as a dict data.

More details

Maple File Format

    Maple is a file system that I created when I was a child. It's like a combination of the INI file and the Jason file. I made this format that is easy to read and write for both humans and machines.

Basic Format

All data before MAPLE\n will be ignored

MAPLE
# Maple data must start with "MAPLE"

*MAPLE_TIME
yyyy/MM/dd HH:mm:ss.fffffff
# Encoded time or optional time in the method parameter

H *STATUS
    # File status
    ADT yyyy/MM/dd HH:mm:ss.fffffff
    RDT yyyy/MM/dd HH:mm:ss.fffffff
    CNT {int}
    H #*
        ADT is the most recent edited time
        RDT is the second most recent edited time (before ADT)
        CNT is the data count (Optional)
    E *#
E
H *Header
    # Headers include '*' are system headers
E
H Data Headers
    H Sub Data Header
        CMT Comments
        # This is also a comment
        Tags Properties
        # Propaties cannot include 'CRLF.'
        Tags2 Properties
        # You cannot use the same tags in a Header except CMT and NTE in H NOTES
        H Sub Data Header
            Tags Propaties
            # You can use the same tag in the child header,
            # which is already used in the parents' header
        E
    E
    H *NOTES NOTES_HEADER
        # Note's header
        NTE {strimg}
        NTE ...
        # Notes' main strings for the multi-line data
        # COMMENTS IN THE "*NOTES" BLOCK WILL BE DELETED WHEN SAVING!
    E
    H #*
        This is a comment block.
        Starts with "H #*"
        and ends with "E *#"
    E *#
E
H Data Headers2
E
# "\nEOF\n" must be needed for all data
EOF

All datas after "\nEOF\n" will be ignored

More details

MapleTree Class

    MapleTree class is a Python library for reading, editing, and writeing the Maple formatted file from the Python code.
    You can also automatically encrypt the file data using the library functions.

More details

Exceptions

    Excption classes are the specialized classes for MapleX to make your debugging easier.

More details

Console Colors

    ConsoleColors class is a class library for color-highlighting the standard output.

More details

Install MapleX

From PyPI

[python[3] -m] pip install MapleX [--upgrade] [--break-system-packages]
  • --upgrade option for upgrade from older version.
  • --break-system-package option for Python on Linux OS outside the venv. This might brak the system Python package dependencies.

Build the Package by Yourself

    Run python[3] -m build

or

    Run python[3] setup.py sdist bdist_wheel

Unit test

python[3] -m unittest discover -s tests

Project details


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