Improvements to parameter models for test case inputs#18743
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jmchilton merged 4 commits intogalaxyproject:devfrom Sep 19, 2024
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Improvements to parameter models for test case inputs#18743jmchilton merged 4 commits intogalaxyproject:devfrom
jmchilton merged 4 commits intogalaxyproject:devfrom
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mvdbeek
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Sep 18, 2024
| cast(XmlTestCollectionDefDict, test_input.get("attributes", {}).get("collection")) | ||
| ).test_format_to_dict() | ||
| elif isinstance(tool_input, (DataParameterModel,)): | ||
| data_tool_input = cast(DataParameterModel, tool_input) |
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Is this cast necessary ? mypy has no problems with this
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I did not know that - good to know. I think I've gotten in the habit of doing that with parameters because I so often am dispatching on the parameter_type string maybe. I think it kind of reads better this way but I will admit it is more code. I will defer to you and remove the casts in my working branch if you'd like.
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As I mentioned in the discussion on #18679, the inputs for the parameter models developed there for test case inputs were a bit arbitrary. While useful for validation in that context - when I went to go use them in developing the tool request API it was clear that aligning them with the tool request syntax would be useful and rather than adding another layer and another version of the models I just reworked the existing ones. I also mentioned there I wanted to develop a set of models for YAML test descriptions that could be used with tool APIs a lot more directly. So this PR translates the test case validation intermediate format to just be YAML format and adds more specific tests and models for that.
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