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  • shoyer · 3 ✖

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  • enable loading remote hdf5 files · 3 ✖

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473481213 https://github.com/pydata/xarray/pull/2782#issuecomment-473481213 https://api.github.com/repos/pydata/xarray/issues/2782 MDEyOklzc3VlQ29tbWVudDQ3MzQ4MTIxMw== shoyer 1217238 2019-03-16T00:36:12Z 2019-03-16T00:36:12Z MEMBER

thanks @scottyhq !

 
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   enable loading remote hdf5 files 412645481
469941846 https://github.com/pydata/xarray/pull/2782#issuecomment-469941846 https://api.github.com/repos/pydata/xarray/issues/2782 MDEyOklzc3VlQ29tbWVudDQ2OTk0MTg0Ng== shoyer 1217238 2019-03-06T02:27:49Z 2019-03-06T02:27:49Z MEMBER

I don't think it's essential to have an integration test doing real network access in xarray, so I would consider just dropping that part instead.

On Tue, Mar 5, 2019 at 6:10 PM Ryan Abernathey notifications@github.com wrote:

@rabernat commented on this pull request.

In xarray/tests/test_backends.py https://github.com/pydata/xarray/pull/2782#discussion_r262767473:

@@ -1955,6 +1955,39 @@ def test_dump_encodings_h5py(self): assert actual.x.encoding['compression_opts'] is None

+@requires_h5fileobj +class TestH5NetCDFFileObject(TestH5NetCDFData): + h5py = pytest.importorskip('h5py', minversion='2.9.0') + engine = 'h5netcdf' + + @network + def test_h5remote(self): + # alternative: http://era5-pds.s3.amazonaws.com/2008/01/main.nc

Rather than going over the network, it might be quite easy to fire up a http.server.SimpleHTTPRequestHandler https://docs.python.org/3/library/http.server.html#http.server.SimpleHTTPRequestHandler as part of a fixture. This would allow us to test the remote capability without internet (and without depending on a third party to host a file.)

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   enable loading remote hdf5 files 412645481
466260533 https://github.com/pydata/xarray/pull/2782#issuecomment-466260533 https://api.github.com/repos/pydata/xarray/issues/2782 MDEyOklzc3VlQ29tbWVudDQ2NjI2MDUzMw== shoyer 1217238 2019-02-22T03:27:56Z 2019-02-22T03:27:56Z MEMBER

This looks great!

I'll note one minor extension: you could look at the first few bytes of the file (the "magic number") to determine if it's a netCDF3 or netCDF4 file, and hence whether it can be opened with scipy or h5netcdf:

  • CDF\001 or CDF\002 would indicate netCDF3 (use scipy)
  • \211HDF\r\n\032\n would indicate netCDF4/HDF5 (use h5netcdf)
 
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   enable loading remote hdf5 files 412645481

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