feat: Allow specifying Duration time unit

dataframely/columns/datetime.py

@@ -440,6 +440,7 @@ def __init__(
         max: dt.timedelta | None = None,
         max_exclusive: dt.timedelta | None = None,
         resolution: str | None = None,
+        time_unit: TimeUnit = "us",
         check: Check | None = None,
         alias: str | None = None,
         metadata: dict[str, Any] | None = None,
@@ -462,6 +463,7 @@ def __init__(
                 the formatting language used by :mod:`polars` datetime `truncate` method.
                 For example, a value `1h` expects all durations to be full hours. Note
                 that this setting does *not* affect the storage resolution.
+            time_unit: Unit of time. Defaults to `us` (microseconds).
             check: A custom rule or multiple rules to run for this column. This can be:
                 - A single callable that returns a non-aggregated boolean expression.
                 The name of the rule is derived from the callable name, or defaults to
@@ -504,10 +506,11 @@ def __init__(
             metadata=metadata,
         )
         self.resolution = resolution
+        self.time_unit = time_unit
 
     @property
     def dtype(self) -> pl.DataType:
-        return pl.Duration()
+        return pl.Duration(time_unit=self.time_unit)
 
     def validation_rules(self, expr: pl.Expr) -> dict[str, pl.Expr]:
         result = super().validation_rules(expr)
@@ -526,7 +529,7 @@ def sqlalchemy_dtype(self, dialect: sa.Dialect) -> sa_TypeEngine:
 
     @property
     def pyarrow_dtype(self) -> pa.DataType:
-        return pa.duration("us")
+        return pa.duration(self.time_unit)
 
     def _sample_unchecked(self, generator: Generator, n: int) -> pl.Series:
         # NOTE: If no duration is specified, we default to 100 years
@@ -543,6 +546,7 @@ def _sample_unchecked(self, generator: Generator, n: int) -> pl.Series:
                 default=dt.timedelta(days=365 * 100),
             ),
             resolution=self.resolution,
+            time_unit=self.time_unit,
             null_probability=self._null_probability,
         )
 

dataframely/random.py

@@ -376,6 +376,7 @@ def sample_duration(
         min: dt.timedelta,
         max: dt.timedelta,
         resolution: str | None = None,
+        time_unit: TimeUnit = "us",
         null_probability: float = 0.0,
     ) -> pl.Series:
         """Sample a list of durations in the provided range.
@@ -386,6 +387,7 @@ def sample_duration(
             max: The maximum duration to sample (exclusive).
             resolution: The resolution that durations in the column must have. This uses
                 the formatting language used by :mod:`polars` datetime `round` method.
+            time_unit: The time unit of the duration column. Defaults to `us` (microseconds).
             null_probability: The probability of an element being `null`.
 
         Returns:
@@ -410,7 +412,7 @@ def sample_duration(
                 max=max_microseconds,
                 null_probability=null_probability,
             )
-        ).cast(pl.Duration)
+        ).cast(pl.Duration(time_unit=time_unit))
 
         if resolution is not None:
             ref_dt = pl.lit(EPOCH_DATETIME)

tests/columns/test_pyarrow.py

@@ -266,3 +266,11 @@ def test_datetime_time_unit(time_unit: TimeUnit) -> None:
         "test", {"a": dy.Datetime(time_unit=time_unit, nullable=True)}
     )
     assert str(schema.to_pyarrow_schema()) == f"a: timestamp[{time_unit}]"
+
+
+@pytest.mark.parametrize("time_unit", ["ns", "us", "ms"])
+def test_duration_time_unit(time_unit: TimeUnit) -> None:
+    schema = create_schema(
+        "test", {"a": dy.Duration(time_unit=time_unit, nullable=True)}
+    )
+    assert str(schema.to_pyarrow_schema()) == f"a: duration[{time_unit}]"