Search improvements

[betolink]

Features:

• we can search by doi at the granule level, if a collection is found earthaccess will grab the concept_id and search using it.
• users will be able to use pattern matching on the granule file names!
• README is now using the SSHA dataset from PODAAC as is simpler to explain and work with compared to ATL data, closes ATL06 example in readme results in ValueError #241
• The granule representation removed the spatial output in favor of a simpler is_cloud_hosted until we have a nicer spatial formatter (it was a blob of json)

Bug fixes:

• size() now returns the actual size closes search_data() function fails on unexpected keyword argument 'keyattr_enabled' #233

Documentation:

• using earthdata.login() instead of a specific strategy, addresses update docs to encourage earthaccess.login() without strategy #218

CI:

• integration tests are only going to run on pushes to main
• documentation is only going to be updated when we update main
  TODO:
• documentation needs more work and we need to fill the placeholders

Using a doi to get granules directly is not supported by CMR as not all collections have a DOI or some have multiple dois but it is a common way of identifying a dataset. If a collection is associated to a DOI earthaccess can use it to get to the data.

    results = earthaccess.search_data(
        doi = "10.5067/SLREF-CDRV3",
        temporal=("2001-05", "2001-06")
    )

another common access pattern is to filter using regexes on the granule names, this is now supported:

    results = earthaccess.search_data(
        doi = "10.5067/SLREF-CDRV3",
        temporal=("2001-01", "2002-01"),
        granule_name="*2001.01-*.nc"
    )

[github-actions]

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