ALPHA RELEASE
pytest-adf is a pytest plugin for writing Azure Data Factory integration tests. It is light-wrapper around the Azure Data Factory Python SDK.
Requirements
You will need the following:
Python 3+
Installation
To install pytest-adf:
pip install pytest-adfUsage
Here is a simple usage of the adf_pipeline_run fixture.
def test_pipeline_succeeded(adf_pipeline_run):
this_run = adf_pipeline_run("my_pipeline", run_inputs={})
assert this_run.status == "Succeeded"The adf_pipeline_run fixture provides a factory function that triggers a pipeline run when called. It will then block and poll the pipeline run till completion* before returning.
*Pipeline run completion is defined by the following status: “Succeeded”, “TimedOut”, “Failed”, “Cancelled”.
For more information see Github page.
1 maintainer
Release files for pytest-adf 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pytest-adf-0.1.5.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pytest_adf-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / pytest-adf-0.1.5.tar.gz
| Download URL | pytest-adf-0.1.5.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
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Release files / pytest_adf-0.1.5-py3-none-any.whl
| Download URL | pytest_adf-0.1.5-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
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