All source listed below is under MIT license if no LICENSE file stating different is available.
This is a review regarding https://github.com/ndokter/dsmr_parser.
There seems to something wrong with this index page. But look in the reviews folder for a detailed review per file. JSON files are for LLM's. Markdown is for humans.
Review
tialize and clean up resources for multiple test cases, which can reduce code repetition.
Good Points
- Thoroughly tests various aspects of the DSMR v4.2 telegram, including both successful parsing and error scenarios.
- Effectively leverages the
unittestframework for organizing test cases. - Consistently uses appropriate data types like
Decimalfor numeric precision.
Summary
This test suite is thorough and effectively covers the parsing of DSMR v4.2 telegrams. It includes tests for successful parsing, as well as handling invalid and missing checksum scenarios. The suite could be further improved by optimizing repetitive code and adopting more descriptive assertion methods provided by the unittest framework. Overall, it is a well-structured and comprehensive set of tests that offers good coverage.
Open Source Alternatives
- Pytest: A popular testing framework that can simplify complex test cases and offers more advanced features compared to
unittest. - Testcontainers: A library for integration and end-to-end testing using Docker containers, which might be useful if the project scales to include more external services and components.
| .github/workflows | |
| dsmr_parser | |
| reviews | |
| test | |
| .coveragerc | |
| .gitignore | |
| CHANGELOG.rst | |
| LICENSE | |
| README2.rst | |
| README.md | |
| setup.py | |
| tox.ini |