I'm trying to create a view to import a csv using drf and django-import-export.
My example (I'm doing baby steps and debugging to learn):
class ImportMyExampleView(APIView):
parser_classes = (FileUploadParser, )
def post(self, request, filename, format=None):
person_resource = PersonResource()
dataset = Dataset()
new_persons = request.data['file']
imported_data = dataset.load(new_persons.read())
return Response("Ok - Babysteps")
But I get this error (using postman):
Tablib has no format 'None' or it is not registered.
Changing to imported_data = Dataset().load(new_persons.read().decode(), format='csv', headers=False)
I get this new error:
InvalidDimensions at /v1/myupload/test_import.csv
No exception message supplied
Does anyone have any tips or can indicate a reference? I'm following this site, but I'm having to "translate" to drf.
Starting with baby steps is a great idea. I would suggest get a standalone script working first so that you can check the file can be read and imported.
If you can set breakpoints and step into the django-import-export source, this will save you a lot of time in understanding what's going on.
A sample test function (based on the example app):
def test_import():
with open('./books-sample.csv', 'r') as fh:
dataset = Dataset().load(fh)
book_resource = BookResource()
result = book_resource.import_data(dataset, raise_errors=True)
print(result.totals)
You can adapt this so that you import your own data. Once this works OK then you can integrate it with your post()
function.
I recommend getting the example app running because it will demonstrate how imports work.
InvalidDimensions
means that the dataset you're trying to load doesn't match the format expected by Dataset
. Try removing the headers=False
arg or explicitly declare the headers (headers=['h1', 'h2', 'h3']
- swap in the correct names for your headers).