Segysak 0.5 cannot find engine with xr.open_dataset

[khaled1240274]

I am facing the following error

ValueError: did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy', 'pydap', 'sgy_engine', 'zarr']. Consider explicitly selecting one of the installed engines via the engine parameter, or installing additional IO dependencies, see: https://docs.xarray.dev/en/stable/getting-started-guide/installing.html https://docs.xarray.dev/en/stable/user-guide/io.html

Whe running the following code: segy_file = pathlib.Path("NORMAL_POLARITY.segy") ds = xr.open_dataset( segy_file, dim_byte_fields={'iline':189, 'xline':193}, extra_byte_fields={'cdp_x':181, 'cdp_y':185}, )

I am using segysak 0.5 and xarray 2024.3.0

[trhallam]

Hi, Xarray chooses a backend by looking at the file extension of the input. SEGY-SAK recognises .sgy and .segy. Can you please check that the segy_file argument to open_dataset has these extensions. If it does not, you must provide the engine manually.

 xr.open_dataset(file, engine='sgy_engine', dim_byte_fields={'iline':189, 'xline':193}, extra_byte_fields={'cdp_x':181, 'cdp_y':185})

[khaled1240274]

Thanks a lot. After explicitly selecting the 'engine = 'sgy_engine', everythinge worked fine.

[khaled1240274]

The new version 0.5 reads the cube much faster than 0.4. For the same cube ver 0.4 used to take about 17 min while ver 0.5 takes less than 30 seconds.

[trhallam]

The new version 0.5 reads the cube much faster than 0.4. For the same cube ver 0.4 used to take about 17 min while ver 0.5 takes less than 30 seconds.

This is because the new engine no longer greedily loads the seismic data and optimisations are made on the header scan. There may be a delay if you try to access the entire volume at once as it is loaded into memory.