Added more unit and integration tests. (#12)

I caught one bug due to the tests, which I count as a success. In
addition, this change makes sure that no test code is bundled with the
distribution. Last, I've added an easy hook (via an extra install) to
set up a development environment.

MANIFEST.in

@@ -0,0 +1 @@
+global-exclude *test.py

README.md

@@ -53,7 +53,7 @@ Feel free to do any analysis you wish. For example:
     .plot()
 )
 ```
-![Coal vs Wind in the US since 1940](demo.png)
+![Coal vs Wind in the US since 1940](https://raw.githubusercontent.com/alxmrs/dask-ee/main/demo.png)
 
 There are a few other useful things you can do. 
 
@@ -81,6 +81,11 @@ df.head()
 Contributions are welcome. A good way to start is to check out open [issues](https://github.com/alxmrs/dask-ee/issues)
 or file a new one. We're happy to review pull requests, too.
 
+Before writing code, please install the development dependencies (after cloning the repo): 
+```shell
+pip install -e ".[dev]"
+```
+
 ## License
 ```
 Copyright 2024 Alexander S Merose

dask_ee/read.py

@@ -26,8 +26,6 @@
 }
 
 
-# TODO(#4): Support 'auto' chunks, where we calculate the maximum allowed page size given the number of
-#  bytes in each row.
 def read_ee(
     fc: t.Union[ee.FeatureCollection, str],
     chunksize: t.Union[int, t.Literal['auto']] = 5_000,
@@ -41,25 +39,27 @@ def read_ee(
   Returns:
     A dask DataFrame with paged Google Earth Engine data.
   """
+  # TODO(#4): Support 'auto' chunks, where we calculate the maximum allowed page size given the number of
+  #  bytes in each row.
+  if chunksize == 'auto':
+    raise NotImplementedError('Auto chunksize is not implemented yet!')
 
   if isinstance(fc, str):
     fc = ee.FeatureCollection(fc)
 
-  if chunksize == 'auto':
-    raise NotImplementedError('Auto chunksize is not implemented yet!')
-
   # Make all the getInfo() calls at once, up front.
   fc_size, all_info = ee.List([fc.size(), fc.limit(0)]).getInfo()
 
   columns = {'geo': 'Json'}
   columns.update(all_info['columns'])
-  del columns['system:index']
+  if 'system:index' in columns:
+    del columns['system:index']
 
   divisions = tuple(range(0, fc_size, chunksize))
 
   # TODO(#5): Compare `toList()` to other range operations, like getting all index IDs via `getInfo()`.
   pages = [ee.FeatureCollection(fc.toList(chunksize, i)) for i in divisions]
-  # Get the remainder, if it exists. `io_chunks` are not likely to evenly partition the data.
+  # Get the remainder, if it exists. `chunksize` is not likely to evenly partition the data.
   d, r = divmod(fc_size, chunksize)
   if r != 0:
     pages.append(ee.FeatureCollection(fc.toList(r, d)))

dask_ee/read_integrationtest.py

@@ -23,28 +23,66 @@ def setUpClass(cls):
     ee.Initialize()
 
   def test_reads_dask_dataframe(self):
-    fc = ee.FeatureCollection("WRI/GPPD/power_plants")
-    ddf = dask_ee.read_ee(fc)
+    fc = ee.FeatureCollection('WRI/GPPD/power_plants')
+    df = dask_ee.read_ee(fc)
 
-    head = ddf.head()
-    columns = ddf.columns
+    head = df.head()
+    columns = df.columns
 
-    self.assertIsNotNone(ddf)
+    self.assertIsNotNone(df)
     self.assertIsNotNone(head)
-    self.assertIsInstance(ddf, dd.DataFrame)
-    self.assertEqual(ddf.compute().shape, (28_664, 23))
+    self.assertIsInstance(df, dd.DataFrame)
+    self.assertEqual(df.compute().shape, (28_664, 23))
 
     print(columns)
     print(head)
 
+  def test_works_with_defined_features(self):
+    # Make a list of Features.
+    features = [
+        ee.Feature(
+            ee.Geometry.Rectangle(30.01, 59.80, 30.59, 60.15),
+            {'name': 'Voronoi'},
+        ),
+        ee.Feature(ee.Geometry.Point(-73.96, 40.781), {'name': 'Thiessen'}),
+        ee.Feature(ee.Geometry.Point(6.4806, 50.8012), {'name': 'Dirichlet'}),
+    ]
+
+    fc = ee.FeatureCollection(features)
+
+    df = dask_ee.read_ee(fc)
+
+    self.assertEqual(list(df.columns), ['geo', 'name'])
+
+  def test_works_with_a_single_feature_in_fc(self):
+    from_geom = ee.FeatureCollection(ee.Geometry.Point(16.37, 48.225))
+
+    df = dask_ee.read_ee(from_geom)
+
+    self.assertEqual(list(df.columns), ['geo'])
+    self.assertEqual(df.compute().shape, (1, 1))
+
+  def test_can_create_random_points(self):
+    # Define an arbitrary region in which to compute random points.
+    region = ee.Geometry.Rectangle(-119.224, 34.669, -99.536, 50.064)
+
+    # Create 1000 random points in the region.
+    random_points = ee.FeatureCollection.randomPoints(region)
+
+    # Note: these random points have no system:index!
+    df = dask_ee.read_ee(random_points)
+
+    self.assertEqual(list(df.columns), ['geo'])
+    self.assertEqual(df.compute().shape, (1000, 1))
+
   def test_prof__read_ee(self):
-    fc = ee.FeatureCollection("WRI/GPPD/power_plants")
+    fc = ee.FeatureCollection('WRI/GPPD/power_plants')
     with cProfile.Profile() as pr:
       _ = dask_ee.read_ee(fc)
 
       # Modified version of `pr.print_stats()`.
-      pstats.Stats(pr).sort_stats("cumtime").print_stats()
+      pstats.Stats(pr).sort_stats('cumtime').print_stats()
 
 
-if __name__ == "__main__":
+if __name__ == '__main__':
   unittest.main()

dask_ee/read_test.py

@@ -9,6 +9,12 @@ def test_can_import_read_op(self):
     except ModuleNotFoundError:
       self.fail('Cannot import `read_ee` function.')
 
+  def test_rejects_auto_chunks(self):
+    import dask_ee
+
+    with self.assertRaises(NotImplementedError):
+      dask_ee.read_ee('WRI/GPPD/power_plants', 'auto')
+
 
 if __name__ == '__main__':
   unittest.main()

pyproject.toml

@@ -38,6 +38,10 @@ tests = [
   "pytest",
   "pyink",
 ]
+dev = [
+  "dask-ee[tests]",
+  "build",
+]
 
 [project.urls]
 Homepage = "https://github.com/alxmrs/dask-ee"