Basic reads work without meta.

dask_ee/read.py

@@ -20,6 +20,7 @@
     'int32': np.int32,
     'int64': np.int64,
     'int8': np.int8,
+    'json': dict,
     'long': np.int64,
     'short': np.int16,
     'uint16': np.uint16,
@@ -39,7 +40,8 @@ def read_ee(
     raise NotImplementedError('Auto io_chunks are not implemented yet!')
 
   fc_size, all_info = ee.List([fc.size(), fc]).getInfo()
-  columns = all_info['columns']
+  columns = {'geo': 'json'}
+  columns.update(all_info['columns'])
 
   # TODO(#5): Compare `toList()` to other range operations, like getting all index IDs via `getInfo()`.
   pages = [
@@ -55,12 +57,12 @@ def to_df(page: ee.FeatureCollection) -> pd.DataFrame:
         }
     )
 
-  meta = {k: _BUILTIN_DTYPES[v.lower()] for k, v in columns.items()}
+  # TODO(alxmrs): Support dask dataframe `meta` via columns.
+  # meta = {k: _BUILTIN_DTYPES[v.lower()] for k, v in columns.items()}
   divisions = tuple(range(0, fc_size, io_chunks))
 
   return dd.from_map(
       to_df,
       pages,
-      meta=meta,
       divisions=divisions,
   )

dask_ee/read_integrationtest.py

@@ -0,0 +1,39 @@
+"""Integration tests with Google Earth Engine.
+
+Before running, please authenticate:
+```
+earthengine authenticate
+```
+
+"""
+import unittest
+
+import dask.dataframe as dd
+import ee
+
+import dask_ee
+
+
+class ReadIntegrationTests(unittest.TestCase):
+
+  @classmethod
+  def setUpClass(cls):
+    ee.Initialize()
+
+  def test_reads_dask_dataframe(self):
+    fc = ee.FeatureCollection("WRI/GPPD/power_plants")
+    ddf = dask_ee.read_ee(fc)
+    head = ddf.head()
+    columns = ddf.columns
+
+    print(columns)
+
+    self.assertIsNotNone(ddf)
+    self.assertIsNotNone(head)
+    self.assertIsInstance(ddf, dd.DataFrame)
+
+    print(head)
+
+
+if __name__ == '__main__':
+  unittest.main()