Skip to main content

Anastasia Logging Standarization

Project description

Anastasia Logging

This repository holds a logging implementation wrapper for python scripts with standarized code notifications and additional features.

Summary

  1. About logging python library
  2. Enhancements and additional functionalities
    1. Log Output Standarization
    2. Predefined Parameters for AnastasiaLoggers from Environment Variables
    3. Code Tags Standarization
  3. Versioning

1. About logging Python Library

This repository is based in python base log management library called logging.

Commonly, when this library is intended to be used, for a basic usage a simple logging import is recommended to be used in order to avoid additional settings in our internal scripts.

import logging

logging.warning("I am a very usefull warning")

OUTPUT => WARNING:root:I am a very usefull warning

But, for more complex repositories, is recommended to manage different loggers according to their necessities. For a customized logging behaviour, a Logger class must be declared from logging.

import logging

logger = logging.Logger("custom_logger")
logger.warning("I am a very usefull warning")

OUTPUT => I am a very usefull warning

Have you noticed in the first import logging example that appears the word root in the output console? This is because when you use import logging directly, a default Logger class is instanciated with name root along with default configurations.

This repository contains a class called AnastasiaLogger, which inherits from Logger class and standarize logging definitions and has some improvments over information (.info()), warning (.warning()) and error (.error()) methods.

from anastasia_logging import AnastasiaLogger

logger = AnastasiaLogger()
logger.warning("I am a very usefull warning")

OUTPUT => 2023-05-08 10:39:17 UTC/GMT-0400 | [ANASTASIA-JOB] WARNING: I am a very usefull warning

If a script already has a logging usage, it is possible to replace import logging with import anastasia_logging as logging and no modifications are required from the script side to work!

import anastasia_logging as logging

logging.warning("I am a very usefull warning")

OUTPUT => 2023-05-08 10:39:17 UTC/GMT-0400 | [ANASTASIA-JOB] WARNING: I am a very usefull warning

2. Enhancements and Additional Functionalities

2.1 Log Output Standarization

AnastasiaLogger has a common structure in order to show information, which is the following one:

YYYY-MM-DD HR:MN:SS UTC/GMT(+-)HHMN | [TAG] LEVEL: message

TAG is define by default as ANASTASIA-JOB (can be changed during class instantiation), and LEVEL is defined according to level method called.

TAG is intended to differentiate responsabilities along scripts in other repositories.

2.2 Predefined Parameters for AnastasiaLoggers from Environment Variables

For a faster logging behaviour along an entire repository, some variables that AnastasiaLogger can recieve can be predefined as environment variables, which are:

  • ANASTASIA_LOG_NAME: name identification of logger instance (default="anastasia-log")
  • ANASTASIA_LOG_TAG: tag identification for job type for StreamHandlers (console) and FileHandlers (file) (default="ANASTASIA-JOB")
  • ANASTASIA_LOG_LEVEL: define severity hierarchy for log generation (default="INFO")
  • ANASTASIA_LOG_SAVELOG: generate .log file containing logs generated (default=False)
  • ANASTASIA_LOG_PATH: define a custom name for log file (default="anastasia-log.log")

If it is not the case, AnastasiaLogger will instanciate with default parameters.

2.3 Code Tags Standarization

In order to have a common identification for upper level implementations, AnastasiaLogger holds a standarized code implementations according to different topics.

The coding structure is the following one:

Code Topic
0 Unindentified
1XX Data related
2XX Mathematical related
3XX AI related
4XX Resources related
5XX Operative System related
6XX API related
7XX AWS related

Methods info(), warning() and error() can be declared with a code as parameter in order to extended log with a code description.

import anastasia_logging as logging

logging.warning("I am a dataset warning", 100)

OUTPUT => 2023-05-08 11:55:27 UTC/GMT-0400 | [ANASTASIA-JOB] WARNING: <W100> I am a dataset warning

If a code is already predefined and no message is introduced, a default message will appear according to code declared.

3. Versioning

v1.1.0

  • Features:

    • Function basicConfig equivalent from logging implemented for root AnastasiaLogger

v1.0.0

  • Features:

    • Anastasia Logger Class abstraction
    • Standar code description definitions for INFO, WARNING and ERROR
    • Predefined AnastasiaLogger parameters loaded from environment variables

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anastasia_logging-1.1.0.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

anastasia_logging-1.1.0-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file anastasia_logging-1.1.0.tar.gz.

File metadata

  • Download URL: anastasia_logging-1.1.0.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.0 CPython/3.8.5 Linux/5.19.0-41-generic

File hashes

Hashes for anastasia_logging-1.1.0.tar.gz
Algorithm Hash digest
SHA256 1f0c143c988e26847f8eb4209d9e1d978de3401f6b06327bbb06e239e8e579da
MD5 dc4247e9bee1e94a325306a2ded14acb
BLAKE2b-256 258518004f58976866ccf55b18092b332b6f8956c5e44bea6b570a5b5772df26

See more details on using hashes here.

File details

Details for the file anastasia_logging-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: anastasia_logging-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.0 CPython/3.8.5 Linux/5.19.0-41-generic

File hashes

Hashes for anastasia_logging-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a2255519d5328081bcf89c80ecd8f80da049af81c2b5bb00c36de4e69bd5dac2
MD5 fa3be7e453ca3f1d8ceb2b35e8573045
BLAKE2b-256 c87eb565298861a14d19441c073ff816be070477b765760619643d74d128827a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page