anastasia-logging 1.3.4

Anastasia Logging Standarization

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
   4. Print Functionality
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 debugging (.debug()), information (.info()), warning (.warning()), error (.error()), critical (.critical()) and fatal (.fatal()) 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="0" (deactivated))
• 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 debug(), info(), warning(), error(), critical() and fatal() 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.

2.4 Print Functionality

For a easy visualization in console without interacting with an AnastasiaLogger, you can use print like a python built-in print call.

import anastasia_logging as logging

logging.print("Some prints to show")

OUTPUT => 2023-05-08 11:55:27 UTC/GMT-0400 | [ANASTASIA-JOB] PRINT: Some prints to show

3. Versioning

v1.3.4

• Fixes:

  • Fixed edge cases in ANASTASIA_LOG_LEVEL and ANASTASIA_LOG_PATH assiganation values

v1.3.3

• Fixes:

  • Fixed edge case of ANASTASIA_LOG_SAVELOG environment variable detection if value entered is not a digit

v1.3.2

• Fixes:

  • Fixed parameter assignation for ANASTASIA_LOG_SAVELOG environment variable

v1.3.1

• Fixes:

  • Default unindentified debug, critical and fatal standard codes fixed

v1.3.0

• Features:

  • Functions critical, fatal and debug incorporated

v1.2.0

• Features:

  • Function print incorporated
  • Functions info, warning, error and print can return the formatted message for further usage

v1.1.1

• Fixes:

  • Function basicConfig was skipping predefined structures with tags and log streamhandlers

v1.1.0

• Features:

  • Function basicConfig equivalent from logging implemented for root AnastasiaLogger

v1.0.0

• Features:

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