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Reasonably hacky, in that I introduce a facade to reuse the data format previously provided by the `csv` module, rather than using the `list[list[str]]` directly. Next I want to introduce something like Celery to continually refresh. Note that this will require changes to the deployment repo in order to provide the required secrets.
16 lines
565 B
Python
16 lines
565 B
Python
# A test for the hacky workaround class I made that imitates the CSV-reader-interface when passed a list[list[str]]
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# as we get from the Google Sheets API
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from app.routers.seed import CSVFacade
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def test_csv_facade():
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facade = CSVFacade([["a", "b", "c"], ["1", "2", "3"], ["4", "5", "6"]])
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for i, row in enumerate(facade):
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if i == 0:
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assert row == {"a": "1", "b": "2", "c": "3"}
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elif i == 1:
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assert row == {"a": "4", "b": "5", "c": "6"}
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else:
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raise ValueError(f"Expected 2 rows, but got {i+1}")
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