Remove bare get_timeinfo, repoint tests to GenericTimeParser

src/access_nri_intake/source/utils.py

@@ -138,120 +138,6 @@ def _guess_start_end_dates(ts, te, frequency):
     return ts, te
 
 
-def get_timeinfo(
-    ds: xr.Dataset,
-    filename_frequency: str | None,
-    time_dim: str,
-) -> tuple[str, str, str]:
-    """
-    Get start date, end date and frequency of a xarray dataset. Stolen and adapted from the
-    cosima cookbook, see
-    https://github.com/COSIMA/cosima-cookbook/blob/master/cosima_cookbook/database.py#L565
-
-    Parameters
-    ----------
-    ds: :py:class:`xarray.Dataset`
-        The dataset to parse the time info from
-    filename_frequency: str
-        Frequency as determined from the filename
-    time_dim: str
-        The name of the time dimension
-
-    Returns
-    -------
-    start_date: str
-        The start date of the dataset
-    end_date: str
-        The end date of the dataset
-    frequency: str
-        The frequency of the dataset
-
-    Raises
-    ------
-    EmptyFileError
-        If the dataset has a valid unlimited dimension, but no data
-    """
-
-    def _todate(t):
-        return cftime.num2date(t, time_var.units, calendar=time_var.calendar)
-
-    time_format = "%Y-%m-%d, %H:%M:%S"
-    ts = None
-    te = None
-    frequency: str | tuple[int | None, str] = FREQUENCY_STATIC
-    has_time = time_dim in ds
-
-    if has_time:
-        time_var = ds[time_dim]
-
-        if len(time_var) == 0:
-            raise EmptyFileError(
-                "This file has a valid unlimited dimension, but no data"
-            )
-
-        has_bounds = hasattr(time_var, "bounds") and time_var.bounds in ds.variables
-        if has_bounds:
-            bounds_var = ds.variables[time_var.bounds]
-            ts = _todate(bounds_var[0, 0])
-            te = _todate(bounds_var[-1, 1])
-        else:
-            ts = _todate(time_var[0])
-            te = _todate(time_var[-1])
-
-        if len(time_var) > 1 or has_bounds:
-            if has_bounds:
-                t1 = _todate(bounds_var[0, 1])
-            else:
-                t1 = _todate(time_var[1])
-
-            dt = t1 - ts
-            # TODO: This is not a very good way to get the frequency
-            if dt.days >= 365:
-                years = round(dt.days / 365)
-                frequency = (years, "yr")
-            elif dt.days >= 28:
-                months = round(dt.days / 30)
-                frequency = (months, "mon")
-            elif dt.days >= 1:
-                frequency = (dt.days, "day")
-            elif dt.seconds >= 3600:
-                hours = round(dt.seconds / 3600)
-                frequency = (hours, "hr")
-            else:
-                frequency = (None, "subhr")
-
-    if filename_frequency:
-        if filename_frequency != frequency:
-            msg = (
-                f"The frequency '{filename_frequency}' determined from filename does not "
-                f"match the frequency '{frequency}' determined from the file contents."
-            )
-            if frequency == FREQUENCY_STATIC:
-                frequency = filename_frequency
-            warnings.warn(f"{msg} Using '{frequency}'.")
-
-    if has_time & (frequency != FREQUENCY_STATIC):
-        if not has_bounds:
-            ts, te = _guess_start_end_dates(ts, te, frequency)
-
-    if ts is None:
-        start_date = "none"
-    else:
-        start_date = ts.strftime(time_format)
-
-    if te is None:
-        end_date = "none"
-    else:
-        end_date = te.strftime(time_format)
-
-    if frequency[0]:
-        frequency = f"{str(frequency[0])}{frequency[1]}"
-    else:
-        frequency = frequency[1]
-
-    return start_date, end_date, frequency
-
-
 class GenericTimeParser:
     """
     Generic time parser

tests/test_source_utils.py

@@ -9,7 +9,6 @@
     EmptyFileError,
     GenericTimeParser,
     GfdlTimeParser,
-    get_timeinfo,
 )
 
 
@@ -147,7 +146,9 @@ def test_get_timeinfo(times, bounds, ffreq, expected):
         units="days since 1900-01-01 00:00:00", calendar="GREGORIAN"
     )
 
-    assert get_timeinfo(ds, filename_frequency=ffreq, time_dim="time") == expected
+    assert (
+        GenericTimeParser(ds, filename_frequency=ffreq, time_dim="time")() == expected
+    )
 
 
 @pytest.mark.parametrize(