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qa-analytics-insights
Advanced tools
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This repository hosts the source code for the QA Analytics Insights
_ project,
a robust command-line interface (CLI) tool designed to generate data-driven
insights from QA (Quality Assurance) test results. Test results are typically
generated in XML format by test automation frameworks such as pytest
_ and
unittest
_.
The command line tool can be used to generate insights from the tests results in xml format.
The tool can be used as follows::
$ qa-analytics-insights --help
Usage: qa-analytics-insights -f <file> [-o <output_dir>] [-vv] [-h] [-v]
The tool accepts the following arguments:
* `-f` or `--file`: Path to the file containing the tests results in xml format.
* `-o` or `--output`: Path to the directory where the insights will be generated.
* `-vv` or `--verbose`: Enable verbose mode.
* `-v` or `--version`: Show version and exit.
* `-h` or `--help`: Show help message and exit.
The library can be used to generate insights from the tests result in xml format.
The library can be used as follows::
from qa_analytics_insights.result_analyzer import ResultAnalyzer
analyzer = ResultAnalyzer(
test_results_file_path='path/to/test/results/file.xml',
output_dir='path/to/output/dir',
)
To install the package from pypi
_, run the following command::
$ pip install qa-analytics-insights
To install the package in development mode, run the following command::
# create a virtual environment
$ virtualenv -p python3 venv
# activate the virtual environment
$ source venv/bin/activate
# Run the package in development mode
$ hatch run develop:all
For linting, run the following command::
$ hatch run linter:linter
for building the package, run the following command::
$ hatch build
for generating the documentation, run the following command::
$ hatch run docs:all
for running the tests with coverage, run the following command::
$ hatch run default:all
.. _QA Analytics Insights : https://qa-analytics-insights.readthedocs.io/en/latest/ .. _pypi: https://pypi.org/project/pip/qa-analytics-insights .. _pytest: https://docs.pytest.org/en/latest/ .. _unittest: https://docs.python.org/3/library/unittest.html
FAQs
Analyze and visualize Quality Assurance data
We found that qa-analytics-insights demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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