The most important part is to use the dtype argument in Pandas' read_csv function. We also replace the np.issubdtype and isinstance functions in the datatype checks by helper functions that support the relevant Pandas datatypes.
Test Environment
For the actual bug, the new unit test should be sufficient. Also use this branch in the Geomar server-profile and the bis-custom submodule in branch f-nan-in-int and test a sample upload with empty fields in, e.g., the integer-valued AphiaID.
Check List for the Author
Please, prepare your MR for a review. Be sure to write a summary and a focus and create gitlab
comments for the reviewer. They should guide the reviewer through the changes, explain your changes
and also point out open questions. For further good practices have a look at our review
guidelines
All automated tests pass
Reference related issues
Up-to-date CHANGELOG.md (or not necessary)
Up-to-date JSON schema (or not necessary)
Appropriate user and developer documentation (or not necessary)
How do I use the software? Assume "stupid" users.
How do I develop or debug the software? Assume novice developers.
Annotations in code (Gitlab comments)
Intent of new code
Problems with old code
Why this implementation?
Check List for the Reviewer
I understand the intent of this MR
All automated tests pass
Up-to-date CHANGELOG.md (or not necessary)
Appropriate user and developer documentation (or not necessary)
The test environment setup works and the intended behavior is reproducible in the test
environment
In-code documentation and comments are up-to-date.
Check: Are there specifications? Are they satisfied?
