Merge pull request #17 from StreetEasy/bug/datetime-dtype-generation

Bug/datetime dtype generation

.flake8

@@ -1,6 +1,6 @@
 [flake8]
 max-line-length = 88
-ignore = E501, E203, W503, E265
+ignore = E501, E203, W503, E265, E231
 per-file-ignores = __init__.py:F401
 exclude =
     .git

.gitignore

@@ -2,4 +2,6 @@
 **/__pycache__/*
 *.pyc
 .DS_Store
-**/.DS_Store
+**/.DS_Store
+
+.hypothesis/*

changelog.md

@@ -1,5 +1,12 @@
 # Changelog
 
+
+
+
+v0.0.5:
+- fix column dtype generation/validation bug
+
+## Pre-Publication
 v1.3.0
 - renamed strict_column_set to additionalColumns
 - renamed strict_column_order to exactColumnOrder

dfschema/core/column.py

@@ -249,7 +249,7 @@ def _validate_dtype(self, series: pd.Series) -> None:
             if not self._dtype_test_func[_dtype](series):
                 txt = _tmplt.format(self.name, series.dtype, _dtype, self.dtype)
                 raise DataFrameValidationError(txt)
-        elif series.dtype != self._dtype:
+        elif series.dtype != _dtype:
             txt = _tmplt.format(self.name, series.dtype, _dtype, self.dtype)
             raise DataFrameValidationError(txt)
 

dfschema/core/dtype.py

@@ -31,6 +31,7 @@
     "int32": "int",
     "int16": "int",
     # time
+    "datetime64[ns]": "datetime64[ns]",
     "datetime": "datetime64[ns]",
     "date": "datetime64[ns]",
     "timedelta": "timedelta64[ns]",

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "dfschema"
-version = "0.0.4"  # set via gitlab-ci
+version = "0.0.5"  # set via gitlab-ci
 description = "lightweight pandas.DataFrame schema"
 authors = ["Philipp <[email protected]>"]
 readme = "README.md"

scripts/generate_jsonschema.py

@@ -1,5 +1,5 @@
 if __name__ == "__main__":
-    from dfs.core.core import DfSchema
+    from dfschema.core.core import DfSchema
 
     with open("./jsonschemas/schema.json", "w") as f:
         f.write(DfSchema.schema_json(indent=2))

scripts/generate_v2.py

@@ -1,5 +1,5 @@
 from pathlib import Path
-from dfs.core.core import DfSchema
+from dfschema.core.core import DfSchema
 
 
 def get_files(path: Path) -> list:

tests/conftest.py

@@ -30,6 +30,15 @@ def df3():
     return pd.DataFrame({"x": [np.nan] * 4, "y": ["foo", "bar", "baz", np.nan]})
 
 
+@pytest.fixture()
+def df4():
+    df = pd.DataFrame(
+        {"x": [1, 2, 3, 4], "y": ["foo", "bar", "baz", None], "z": ["2022-10-23",] * 4}
+    )
+    df["z"] = pd.to_datetime(df["z"])
+    return df
+
+
 # This section for `test_jsonvalidate.py`
 
 

tests/test_generate.py

@@ -1,7 +1,7 @@
 # import pytest
 
 
-def test_generate(df1):
+def test_generate_df1(df1):
     from dfschema.core import DfSchema
 
     print(df1.dtypes)
@@ -13,3 +13,17 @@ def test_generate(df1):
         raise Exception(sd, e)
 
     S.validate_df(df1)  # type: ignore
+
+
+def test_generate_df4(df4):
+    from dfschema.core import DfSchema
+
+    print(df4.dtypes)
+
+    try:
+        S = DfSchema.from_df(df4)
+    except Exception as e:  # for debugging
+        sd = DfSchema.from_df(df4, return_dict=True)
+        raise Exception(sd, e)
+
+    S.validate_df(df4)  # type: ignore

tests/test_numeric.py

@@ -44,10 +44,7 @@
     ],
     "df2": [  # protocol 1.0
         {
-            "columns": {
-                "x": {"min_value": 1},
-                "y": {"dtype": "string"},
-            },
+            "columns": {"x": {"min_value": 1}, "y": {"dtype": "string"},},
             "strict_cols": True,
         },
         {

tests/test_subsets.py

@@ -21,11 +21,7 @@ def test_subset_dict(df_subset):
             {
                 "predicate": {"y": "baz"},
                 "columns": [
-                    {
-                        "name": "x",
-                        "dtype": "int",
-                        "value_limits": {"min": 3, "max": 3},
-                    }
+                    {"name": "x", "dtype": "int", "value_limits": {"min": 3, "max": 3},}
                 ],
             },
         ],
@@ -49,11 +45,7 @@ def test_subset_query(df_subset):
                 "predicate": "x >= 3",
                 "shape": {"rows": 2},
                 "columns": [
-                    {
-                        "name": "x",
-                        "dtype": "int",
-                        "value_limits": {"max": 4, "min": 3},
-                    }
+                    {"name": "x", "dtype": "int", "value_limits": {"max": 4, "min": 3},}
                 ],
             },
         ],

tests/test_validate.py

@@ -40,12 +40,7 @@ def test_validate_df(df1, schema):
     {"shape": {"min_cols": 3}},
     {"columns": ["x", "y", "z"]},
     {"columns": {"x": {"dtype": "floating"}, "y": {"dtype": "floating"}}},
-    {
-        "columns": {
-            "x": {"dtype": "int"},
-            "y": {"dtype": "character", "na_limit": 0.2},
-        }
-    },
+    {"columns": {"x": {"dtype": "int"}, "y": {"dtype": "character", "na_limit": 0.2},}},
 ]