pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning

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Tree: e56699fe1f

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doccano/app

History

Clemens Wolff e56699fe1f Correctly display dataset upload errors When importing an invalid CSV file that fails data validation, the API returns the errors wrapped in an array. The current frontend code does not handle this case and does not display the errors which can be confusing for users as for example seen in https://github.com/chakki-works/doccano/issues/150. This change modifies the frontend code to handle error responses wrapped in an array. The code was tested by uploading the following CSV file: ``` text,label "","label1" ``` After applying the change, we now correctly render the upload error as shown in the screenshot below: [](https://user-images.githubusercontent.com/1086421/56042132-504f3300-5d08-11e9-8ddf-04c8deb2f60b.png)		5 years ago
..
app	Integrate webpack and django	5 years ago
classifier	Change directory structure	6 years ago
server	Correctly display dataset upload errors	5 years ago
__init__.py	Create tests directory	6 years ago
manage.py	Change directory structure	6 years ago