Fix for latest deps for woodwork 0.28.0

.github/workflows/tests_with_latest_deps.yaml

@@ -109,7 +109,7 @@ jobs:
           $ProgressPreference = "silentlyContinue"
           Invoke-WebRequest -Uri $Uri -Outfile "$env:USERPROFILE/$File"
           $hashFromFile = Get-FileHash "$env:USERPROFILE/$File" -Algorithm SHA256
-          $hashFromUrl = "e841557c27d438b96e09126a2b0656154a3a34bdb9d87d59ceaea67515713515"
+          $hashFromUrl = "c9b32faa9262828702334b16bcb5b53556e630d54e5127f5c36c7ba7ed43179a"
           if ($hashFromFile.Hash -ne "$hashFromUrl") {
             Throw "$File hashes do not match"
           }

docs/source/release_notes.rst

@@ -7,14 +7,15 @@ Future Release
 ==============
     * Enhancements
     * Fixes
+        * Fix dependency issues (:pr:`2644`)
     * Changes
     * Documentation Changes
     * Testing Changes
       * Update tests for compatibility with new versions of ``holidays`` (:pr:`2636`)
       * Update ruff to 0.1.6 and use ruff linter/formatter (:pr:`2639`)
 
     Thanks to the following people for contributing to this release:
-    :user:`gsheni`, :user:`thehomebrewnerd`
+    :user:`gsheni`, :user:`thehomebrewnerd`, :user:`tamargrey`
 
 
 v1.28.0 Oct 26, 2023

featuretools/primitives/standard/transform/cumulative/cumulative_time_since_last_false.py

@@ -51,7 +51,7 @@ def time_since_previous_false(datetime_col, bool_col):
             df.loc[not_false_indices, "last_false_datetime"] = np.nan
             df["last_false_datetime"] = df["last_false_datetime"].fillna(method="ffill")
             total_seconds = (
-                df["datetime"] - df["last_false_datetime"]
+                pd.to_datetime(df["datetime"]).subtract(df["last_false_datetime"])
             ).dt.total_seconds()
             return pd.Series(total_seconds)
 

featuretools/primitives/standard/transform/cumulative/cumulative_time_since_last_true.py

@@ -46,7 +46,7 @@ def time_since_previous_true(datetime_col, bool_col):
             df.loc[~not_false_indices, "last_true_datetime"] = np.nan
             df["last_true_datetime"] = df["last_true_datetime"].fillna(method="ffill")
             total_seconds = (
-                df["datetime"] - df["last_true_datetime"]
+                pd.to_datetime(df["datetime"]).subtract(df["last_true_datetime"])
             ).dt.total_seconds()
             return pd.Series(total_seconds)
 

featuretools/primitives/standard/transform/datetime/date_to_holiday.py

@@ -33,9 +33,9 @@ class DateToHoliday(TransformPrimitive):
         >>> date_to_holiday_canada = DateToHoliday(country='Canada')
         >>> dates = pd.Series([datetime(2016, 7, 1),
         ...          datetime(2016, 11, 15),
-        ...          datetime(2018, 9, 3)])
+        ...          datetime(2018, 12, 25)])
         >>> date_to_holiday_canada(dates).tolist()
-        ['Canada Day', nan, 'Labour Day']
+        ['Canada Day', nan, 'Christmas Day']
     """
 
     name = "date_to_holiday"

featuretools/tests/entityset_tests/test_serialization.py

@@ -218,9 +218,9 @@ def test_to_pickle_id_none(tmp_path):
 @pytest.fixture
 def s3_client():
     _environ = os.environ.copy()
-    from moto import mock_s3
+    from moto import mock_aws
 
-    with mock_s3():
+    with mock_aws():
         s3 = boto3.resource("s3")
         yield s3
     os.environ.clear()

featuretools/tests/primitive_tests/test_feature_serialization.py

@@ -210,9 +210,9 @@ def serialize_name_unchanged(original):
 @pytest.fixture
 def s3_client():
     _environ = os.environ.copy()
-    from moto import mock_s3
+    from moto import mock_aws
 
-    with mock_s3():
+    with mock_aws():
         s3 = boto3.resource("s3")
         yield s3
     os.environ.clear()

featuretools/tests/primitive_tests/transform_primitive_tests/test_datetoholiday_primitive.py

@@ -54,10 +54,10 @@ def test_valid_country():
         [
             "2016-07-01",
             "2016-11-11",
-            "2018-09-03",
+            "2018-12-25",
         ],
     ).astype("datetime64[ns]")
-    answer = ["Canada Day", np.nan, "Labour Day"]
+    answer = ["Canada Day", np.nan, "Christmas Day"]
     given_answer = date_to_holiday(case).astype("str")
     np.testing.assert_array_equal(given_answer, answer)
 

featuretools/tests/requirement_files/minimum_test_requirements.txt

@@ -1,9 +1,9 @@
-boto3==1.17.46
+boto3==1.34.32
 cloudpickle==1.5.0
 composeml==0.8.0
 graphviz==0.8.4
 holidays==0.13
-moto[all]==3.0.7
+moto[all]==5.0.0
 numpy==1.21.0
 packaging==20.0
 pandas==1.5.0

pyproject.toml

@@ -32,9 +32,9 @@ requires-python = ">=3.8,<4"
 dependencies = [
     "cloudpickle >= 1.5.0",
     "holidays >= 0.17",
-    "numpy >= 1.21.0",
+    "numpy >= 1.21.0, <2.0.0",
     "packaging >= 20.0",
-    "pandas >= 1.5.0",
+    "pandas >= 1.5.0,<2.2.0",
     "psutil >= 5.6.6",
     "scipy >= 1.10.0",
     "tqdm >= 4.32.0",
@@ -51,10 +51,10 @@ dependencies = [
 
 [project.optional-dependencies]
 test = [
-    "boto3 >= 1.17.46",
+    "boto3 >= 1.34.32",
     "composeml >= 0.8.0",
     "graphviz >= 0.8.4",
-    "moto[all] >= 3.0.7",
+    "moto[all] >= 5.0.0",
     "pip >= 21.3.1",
     "pyarrow >= 3.0.0,<13.0.0",
     "pympler >= 0.8",
@@ -71,7 +71,7 @@ dask = [
     "woodwork[dask] >= 0.23.0",
 ]
 spark = [
-    "woodwork[spark] >= 0.23.0",
+    "woodwork[spark] >= 0.23.0, <0.28.0",
     "pyspark >= 3.2.2",
     "numpy < 1.24.0",
     "pandas < 2.0.0",
@@ -84,7 +84,7 @@ tsfresh = [
     "featuretools-tsfresh-primitives >= 1.0.0",
 ]
 premium = [
-    "premium_primitives >= 0.0.2",
+    "premium_primitives @ git+https://github.com/alteryx/premium_primitives.git@main",
 ]
 autonormalize = [
     "autonormalize >= 2.0.1",
@@ -107,10 +107,9 @@ docs = [
     "sphinx-inline-tabs == 2022.1.2b11",
     "sphinx-copybutton == 0.5.0",
     "myst-parser == 0.18.0",
-    "premium_primitives >= 0.0.2",
     "autonormalize >= 2.0.1",
     "click >= 7.0.0",
-    "featuretools[sklearn,dask,spark,test]",
+    "featuretools[sklearn,dask,spark,test,premium]",
 ]
 dev = [
     "ruff >= 0.1.6",