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sdf.spatial.to_featureset() weakref error

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4 weeks ago
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jmk_307
by
Occasional Contributor
4 weeks ago

using arcgis 2.4.1.  Developed this script a few months ago and didn't have this problem until testing it again this week, and it is now throwing this error when trying to create a featureset from an SEDF created by the GeoAccessor.

ValueError("<weakref at 0x000002874A68BA10; to 'ExtensionBlock' at 0x000002874C193DD0> is not in list")

The script is over 2k lines and this problem just started happening after we republished the services with the related tables included.

lv_sdf = GeoAccessor.from_featureclass(lv_config['lv_scratch_fc_path'])
# perform column renaming, etc.

feat_set = lv_sdf.spatial.to_featureset() # to_featureset() is broken here.

 Has anyone else come across this before?

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2 Replies
Andrew_McClary
by
Emerging Contributor
3 weeks ago

I'm getting the same error in a similar situation using spatial.to_featureclass(). Script worked about 6 months ago but when I tried to run it this week it threw that error.

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jmk_307
by
Occasional Contributor
3 weeks ago

Doesn't look like there is much traction on this but glad to know that I'm not alone and more likely a bug than code syntax. Band aid workaround is to iterate over the dataframe and construct the list of feature dictionaries. This takes either featureclass (geometry) or table (no geometry):

        def convert_to_featureset(lv_sdf):
            """
            helper function to convert the sdf to a list of features for the edit_feature.

            .to_featureset() here is causing <weakref at 0x0000011EC04640E0; to 'ExtensionBlock' at 0x0000011EC636CCB0>
            errors in arcgis 2.4.1. should be tested in newer versions of arcgis and the be re-evaluated.
            """

            features = []

            if "SHAPE" in [col for col in lv_sdf.columns]:
                for idx, row in lv_sdf.iterrows():
                    # Append to features list
                    features.append({
                        "attributes": {
                            key: value
                            for key, value in row.items()
                            if key != 'SHAPE' and pd.notna(value)
                        },
                        "geometry": row['SHAPE'].JSON if row['SHAPE'] else None})
            else:
                for idx, row in lv_sdf.iterrows():
                    # Append to features list
                    features.append({"attributes": {key: value for key, value in row.items() if pd.notna(value)}})

            return features

 

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