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Add metadata consolidation utility #278
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Add metadata consolidation utility
jrbourbeau 50f0cb6
Python 3.8
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Better gate imports
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Add tests
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Support in-memory consolidated metadata
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Merge branch 'main' of https://github.com/nsidc/earthaccess into kerc…
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Merge branch 'main' of https://github.com/nsidc/earthaccess into kerc…
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,56 @@ | ||
from __future__ import annotations | ||
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import earthaccess | ||
import fsspec | ||
import s3fs | ||
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def _get_chunk_metadata( | ||
granuale: earthaccess.results.DataGranule, | ||
fs: fsspec.AbstractFileSystem | s3fs.S3FileSystem, | ||
) -> list[dict]: | ||
from kerchunk.hdf import SingleHdf5ToZarr | ||
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metadata = [] | ||
access = "direct" if isinstance(fs, s3fs.S3FileSystem) else "indirect" | ||
for url in granuale.data_links(access=access): | ||
with fs.open(url) as inf: | ||
h5chunks = SingleHdf5ToZarr(inf, url) | ||
m = h5chunks.translate() | ||
metadata.append(m) | ||
return metadata | ||
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def consolidate_metadata( | ||
granuales: list[earthaccess.results.DataGranule], | ||
kerchunk_options: dict | None = None, | ||
access: str = "direct", | ||
outfile: str | None = None, | ||
storage_options: dict | None = None, | ||
) -> str | dict: | ||
try: | ||
import dask | ||
from kerchunk.combine import MultiZarrToZarr | ||
except ImportError as e: | ||
raise ImportError( | ||
"`earthaccess.consolidate_metadata` requires `dask` and `kerchunk` to be be installed" | ||
) from e | ||
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if access == "direct": | ||
fs = earthaccess.get_s3fs_session(provider=granuales[0]["meta"]["provider-id"]) | ||
else: | ||
fs = earthaccess.get_fsspec_https_session() | ||
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# Get metadata for each granuale | ||
get_chunk_metadata = dask.delayed(_get_chunk_metadata) | ||
chunks = dask.compute(*[get_chunk_metadata(g, fs) for g in granuales]) | ||
chunks = sum(chunks, start=[]) | ||
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# Get combined metadata object | ||
mzz = MultiZarrToZarr(chunks, **(kerchunk_options or {})) | ||
if outfile is not None: | ||
output = fsspec.utils.stringify_path(outfile) | ||
mzz.translate(outfile, storage_options=storage_options or {}) | ||
return output | ||
else: | ||
return mzz.translate() |
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if we try to kerchunk and consolidate non uniform datasets kerchunk will fail, if we try to kerchunk 1 granule kerchunk succeeds but MultiZarrToZarr requires a variable mapping, if we don't pass it fails, for one granule we should use
kerchunk_options={"coo_map": {}}
and then kerchunks stays happy.There was a problem hiding this comment.
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Is that the same as not doing any combination at all?
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I guess? or maybe we can just skip the MultiZarrToZarr when the input is only 1 file. I wanted to do a quick test on a granule from https://podaac.jpl.nasa.gov/MEaSUREs-MUR and ran into this issue.