refactor: Better sort

geetools/ee_asset.py

@@ -782,6 +782,11 @@ def date_in_str(d: str | int | float | datetime | date) -> str:
                 d = datetime.fromtimestamp(int(d) / 1000).isoformat() + "Z"
             return str(d)  # if any other format is used, we will simply return it as a string
 
+        # early exit if kwargs is empty
+        if len(kwargs) == 0:
+            return self
+
+        # Convert the system properties to the correct format
         if "system:time_start" in kwargs:
             kwargs["system:time_start"] = date_in_str(kwargs.pop("system:time_start"))
         if "system:time_end" in kwargs:

geetools/ee_image_collection.py

@@ -1233,51 +1233,48 @@ def sortMany(
     ) -> ee.ImageCollection:
         """Sort an ImageCollection using more than 1 property.
 
+        The properties are set in the order of priority. The first property is the most important one,
+        in case of a tie, the second property is used to break the tie, and so on.
+
+        Warning:
+            This method will raise an error if the 2 parameter are not the same size.
+
         Args:
             properties: the list of properties to sort by.
             ascending: the list of order. If not passed all properties will be sorted ascending
+
+        Examples:
+            .. jupyter-execute::
+
+                import ee, geetools
+                from geetools.utils import initialize_documentation
+
+                initialize_documentation()
+
+                # order the 500 first images of the NOAA forecast by forecasted date. in case of tie,
+                # order by creation date. We limit to 500 to not exceed GEE computation limits²
+                ic = ee.ImageCollection("NOAA/GFS0P25").limit(500)
+                icSorted = ic.geetools.sortMany(["forecast_time", "creation_time"])
+
+                # print the sorted list of images with forecast and creation time properties for the 10 first
+                icSorted = icSorted.limit(10)
+                info = icSorted.toList(icSorted.size()).map(lambda x: ee.Dictionary({
+                    "forecast_time": ee.Date(ee.Image(x).get("forecast_time")).format(),
+                    "creation_time": ee.Date(ee.Image(x).get("creation_time")).format()
+                }))
+                for item in info.getInfo():
+                    print(f"Forecast Time: {item['forecast_time']}, Creation Time: {item['creation_time']}")
         """
-        properties = ee.List(properties)
-        asc = ee.List(ascending or properties.map(lambda p: True))
-        order_dict = ee.Dictionary.fromLists(properties.slice(0, asc.size()), asc)
-        # position order of each prop will be converted to string using this format
-        length = self._obj.size().toInt().format().length()
-        format = ee.String("%0").cat(length.format()).cat("d")
-        # suffix for temporal properties
-        pos_suffix = ee.String("_geetools_position")
-
-        def compute_position(prop, cum):
-            """Add the order position of the property to each image."""
-            cum = ee.ImageCollection(cum)
-            order = ee.Algorithms.If(order_dict.get(prop, True), True, False)
-            sorted_values = self._obj.sort(prop, order).aggregate_array(prop).distinct()
-            position_name = ee.String(prop).cat(pos_suffix)
-
-            def add_position(img):
-                index = sorted_values.indexOf(img.get(prop))
-                return img.set(position_name, index.format(format))
-
-            return cum.map(add_position)
-
-        with_positions = ee.ImageCollection(properties.iterate(compute_position, self._obj))
-        # put temp properties in a list to further remove them
-        position_properties = properties.map(lambda p: ee.String(p).cat(pos_suffix))
-        final_order_property = "_geetools_sort_many_"
-
-        def compute_final_prop(img):
-            """Join order position string of each property into a single number."""
-            img = ee.Image(img)
-            # values = img.toDictionary(position_properties).values()  # this should work but doesn't
-            values = position_properties.map(lambda p: img.get(p))
-            return img.set(final_order_property, values.join(""))
-
-        with_order = with_positions.map(compute_final_prop)
-        # add final property to properties to remove
-        prop_to_remove = position_properties.add(final_order_property)
-        # sort using the final property and remove temp properties
-        sorted = with_order.sort(final_order_property)
-        sorted = sorted.map(lambda i: ee.Image(i.copyProperties(i, exclude=prop_to_remove)))
-        return sorted
+        # sanity checks
+        props = ee.List(properties)
+        asc = ee.List(ascending or props.map(lambda _: True))
+
+        # Compute the sort chain in reverse order so that the first key is the primary one and so on.
+        ic = self._obj
+        propertiesIndex = ee.List.sequence(0, props.size().subtract(1)).reverse()
+        ic = propertiesIndex.iterate(lambda i, c: ee.ImageCollection(c).sort(props.get(i), asc.get(i)), ic)
+
+        return ee.ImageCollection(ic)
 
     def datesByBands(
         self,

tests/test_Asset.py

@@ -354,3 +354,8 @@ def test_set_properties(self, gee_test_folder):
         asset = ee.Asset(gee_test_folder) / "folder" / "image"
         asset.setProperties(foo="bar")
         assert ee.Image(asset.as_posix()).get("foo").getInfo() == "bar"
+
+    def test_set_properties_no_kwargs(self, gee_test_folder):
+        asset = ee.Asset(gee_test_folder) / "folder" / "image"
+        asset.setProperties()
+        assert ee.Image(asset.as_posix()).exists()

tests/test_ImageCollection.py

@@ -6,6 +6,7 @@
 import ee
 import numpy as np
 import pytest
+from ee.ee_exception import EEException
 from jsonschema import validate
 from matplotlib import pyplot as plt
 
@@ -518,14 +519,12 @@ def test_sort_many_default(self, l8_toa, ee_list_regression):
         result = process.aggregate_array(prop1).zip(dates)
         ee_list_regression.check(result)
 
-    def test_sort_many_missing_asc(self, l8_toa, ee_list_regression):
+    def test_sort_many_missing_asc(self, l8_toa):
         l8_toa = l8_toa.map(self.adjust_cloud_cover)
         prop1 = "CLOUD_COVER"
         prop2 = "system:time_start"
-        process = l8_toa.geetools.sortMany([prop1, prop2], [False])
-        dates = process.aggregate_array(prop2).map(lambda milli: ee.Date(milli).format())
-        result = process.aggregate_array(prop1).zip(dates)
-        ee_list_regression.check(result)
+        with pytest.raises(EEException):
+            l8_toa.geetools.sortMany([prop1, prop2], [True]).getInfo()
 
 
 class TestPlotDatesByBands: