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  • shoyer · 2 ✖

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  • Storing history of xarray operations · 2 ✖

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210694521 https://github.com/pydata/xarray/issues/826#issuecomment-210694521 https://api.github.com/repos/pydata/xarray/issues/826 MDEyOklzc3VlQ29tbWVudDIxMDY5NDUyMQ== shoyer 1217238 2016-04-16T00:17:46Z 2016-04-16T00:17:46Z MEMBER

Yes, my main concern is code bloat. Storing things like the computation graph and command line flags used to invoke a script are certainly useful things to do, and I use versions of this stuff all the time. But they are orthogonal to the labeled data focus of xarray so they belong better in another library.

If you want to take this approach, you might start by using something like dask.imperative, and extracting the task dependencies from the resulting task graph. Or you could even try to work with the full dask graphs created by using dask.array with xarray, but these can get pretty big.

Getting parameters from the calling script is even easier -- just inspect sys.argv and set it as an attribute before saving files (or write your own function). The main complexity here is picking a convention, not implementing it.

 
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   Storing history of xarray operations 148771214
210677143 https://github.com/pydata/xarray/issues/826#issuecomment-210677143 https://api.github.com/repos/pydata/xarray/issues/826 MDEyOklzc3VlQ29tbWVudDIxMDY3NzE0Mw== shoyer 1217238 2016-04-15T23:04:21Z 2016-04-15T23:04:21Z MEMBER

This might be out of scope for xarray.

It's relatively straight forward to build computation graphs, but summarizing them in a useful, succint way is hard. There are a lot of judgment calls involved.

 
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   Storing history of xarray operations 148771214

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