A mock library to help test Python code accessing Airtable using the Python library.
It keeps tables in RAM and can do basic operations.
Installation
The easiest way is using pip:
pip install airtablemockUsage
In your test, you patch the whole airtable library:
import unittest
import airtablemock
import mycode
@airtablemock.patch(mycode.__name__ + '.airtable')
class TestMyCode(unittest.TestCase):
def test_foo():
# This is a client for the base "baseID", it will not access the real
# Airtable service but only the mock one which keeps data in RAM.
client = airtablemock.Airtable('baseID', 'apiKey')
# Populate the table.
client.create('table-foo', {'field1': 1, 'field2': 'two'})
# Run your code that uses Airtable, it should transparently uses the table
# above.
mycode.run()
# Access the table again to check if anything was modified.
records = client.get('table-foo')
…Release
To create a new release of airtablemock, tag the Git repo and run:
python setup.py sdist bdist_wheel
twine upload dist/airtablemock-*2 maintainers
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