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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture 2. Part I: Design FREE CHAPTER
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Producing logs in Python

Python includes a standard module to produce logs. This module is easy to use, with a very flexible configuration, but it can be confusing if you don't understand the way it operates.

A basic program to create logs looks like this. This is available as basic_logging.py on GitHub at https://github.com/PacktPublishing/Python-Architecture-Patterns/tree/main/chapter_12_logging:

import logging
# Generate two logs with different severity levels
logging.warning('This is a warning message')
logging.info('This is an info message')

The .warning and .info methods create logs with the corresponding severity message. The message is a text string.

When executed, it shows the following:

$ python3 basic_logging.py
WARNING:root:This is a warning message

The logs are, by default, routed to stdout, which is what we want, but it is configured not to display INFO logs. The format of the logs is also the default, which doesn&apos...

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