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ml6team / fondant / 7183908091
91%

Build:
DEFAULT BRANCH: main
Ran 12 Dec 2023 03:51PM UTC
Jobs 3
Files 18
Run time 3s
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12 Dec 2023 03:49PM UTC coverage: 92.161% (+0.2%) from 91.998%
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Fix data io for generic PandasTransformComponent (#721)

I ran into an issue when using the generic `evaluate_ragas` component. 

```Python
component = RetrieverEval(
    module="langchain.llms",
    llm_name="OpenAI",
    llm_kwargs={"openai_api_key": os.environ["OPENAI_KEY"]},
    produces={
        "context_precision": pa.float32(),
        "context_relevancy": pa.float32(),
    },
)
```
Lead to the following error:
```
ValueError: Fields ['context_precision', 'context_relevancy'] defined in output dataset but not found in dataframe
```

Because we were not using the `operation_spec` yet for the
`PandasTransformComponent`. I think we can reduce the chance of similar
errors in the future by only passing the operation_spec to the
component, but then we'll need to include the other information from the
component spec in there as well.

4 of 4 new or added lines in 1 file covered. (100.0%)

1693 of 1837 relevant lines covered (92.16%)

2.76 hits per line

Jobs
ID Job ID Ran Files Coverage
1 test-3.10 - 7183908091.1 12 Dec 2023 03:53PM UTC 0
92.05
2 test-3.8 - 7183908091.2 12 Dec 2023 03:53PM UTC 0
92.15
3 test-3.9 - 7183908091.3 12 Dec 2023 03:53PM UTC 0
92.04
Source Files on build 7183908091
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