REF: stricter typing, better naming in parsing.pyx

pandas/_libs/tslib.pyx

@@ -770,6 +770,15 @@ cdef _array_to_datetime_object(
                 oresult[i] = "NaT"
                 cnp.PyArray_MultiIter_NEXT(mi)
                 continue
+            elif val == "now":
+                oresult[i] = datetime.now()
+                cnp.PyArray_MultiIter_NEXT(mi)
+                continue
+            elif val == "today":
+                oresult[i] = datetime.today()
+                cnp.PyArray_MultiIter_NEXT(mi)
+                continue
+
             try:
                 oresult[i] = parse_datetime_string(val, dayfirst=dayfirst,
                                                    yearfirst=yearfirst)

pandas/_libs/tslibs/parsing.pyi

@@ -2,7 +2,6 @@ from datetime import datetime
 
 import numpy as np
 
-from pandas._libs.tslibs.offsets import BaseOffset
 from pandas._typing import npt
 
 class DateParseError(ValueError): ...
@@ -12,9 +11,9 @@ def parse_datetime_string(
     dayfirst: bool = ...,
     yearfirst: bool = ...,
 ) -> datetime: ...
-def parse_time_string(
-    arg: str,
-    freq: BaseOffset | str | None = ...,
+def parse_datetime_string_with_reso(
+    date_string: str,
+    freq: str | None = ...,
     dayfirst: bool | None = ...,
     yearfirst: bool | None = ...,
 ) -> tuple[datetime, str]: ...

pandas/_libs/tslibs/parsing.pyx

@@ -59,7 +59,6 @@ from pandas._libs.tslibs.np_datetime cimport (
     npy_datetimestruct,
     string_to_dts,
 )
-from pandas._libs.tslibs.offsets cimport is_offset_object
 from pandas._libs.tslibs.strptime import array_strptime
 from pandas._libs.tslibs.util cimport (
     get_c_string_buf_and_size,
@@ -257,6 +256,10 @@ def parse_datetime_string(
     Returns
     -------
     datetime
+
+    Notes
+    -----
+    Does not handle "today" or "now", which caller is responsible for handling.
     """
 
     cdef:
@@ -275,14 +278,6 @@ def parse_datetime_string(
     if dt is not None:
         return dt
 
-    # Handling special case strings today & now
-    if date_string == "now":
-        dt = datetime.now()
-        return dt
-    elif date_string == "today":
-        dt = datetime.today()
-        return dt
-
     try:
         dt, _ = _parse_dateabbr_string(date_string, _DEFAULT_DATETIME, freq=None)
         return dt
@@ -308,16 +303,22 @@ def parse_datetime_string(
     return dt
 
 
-def parse_time_string(arg, freq=None, dayfirst=None, yearfirst=None):
+def parse_datetime_string_with_reso(
+    str date_string, str freq=None, dayfirst=None, yearfirst=None
+):
+    # NB: This will break with np.str_ (GH#45580) even though
+    #  isinstance(npstrobj, str) evaluates to True, so caller must ensure
+    #  the argument is *exactly* 'str'
     """
     Try hard to parse datetime string, leveraging dateutil plus some extra
     goodies like quarter recognition.
 
     Parameters
     ----------
-    arg : str
-    freq : str or DateOffset, default None
+    date_string : str
+    freq : str or None, default None
         Helps with interpreting time string if supplied
+        Corresponds to `offset.rule_code`
     dayfirst : bool, default None
         If None uses default from print_config
     yearfirst : bool, default None
@@ -328,50 +329,21 @@ def parse_time_string(arg, freq=None, dayfirst=None, yearfirst=None):
     datetime
     str
         Describing resolution of parsed string.
-    """
-    if type(arg) is not str:
-        # GH#45580 np.str_ satisfies isinstance(obj, str) but if we annotate
-        #  arg as "str" this raises here
-        if not isinstance(arg, np.str_):
-            raise TypeError(
-                "Argument 'arg' has incorrect type "
-                f"(expected str, got {type(arg).__name__})"
-            )
-        arg = str(arg)
 
-    if is_offset_object(freq):
-        freq = freq.rule_code
+    Raises
+    ------
+    ValueError : preliminary check suggests string is not datetime
+    DateParseError : error within dateutil
+    """
 
     if dayfirst is None:
         dayfirst = get_option("display.date_dayfirst")
     if yearfirst is None:
         yearfirst = get_option("display.date_yearfirst")
 
-    res = parse_datetime_string_with_reso(arg, freq=freq,
-                                          dayfirst=dayfirst,
-                                          yearfirst=yearfirst)
-    return res
-
-
-cdef parse_datetime_string_with_reso(
-    str date_string, str freq=None, bint dayfirst=False, bint yearfirst=False,
-):
-    """
-    Parse datetime string and try to identify its resolution.
-
-    Returns
-    -------
-    datetime
-    str
-        Inferred resolution of the parsed string.
-
-    Raises
-    ------
-    ValueError : preliminary check suggests string is not datetime
-    DateParseError : error within dateutil
-    """
     cdef:
-        object parsed, reso
+        datetime parsed
+        str reso
         bint string_to_dts_failed
         npy_datetimestruct dts
         NPY_DATETIMEUNIT out_bestunit
@@ -483,7 +455,7 @@ cpdef bint _does_string_look_like_datetime(str py_string):
 cdef object _parse_dateabbr_string(object date_string, datetime default,
                                    str freq=None):
     cdef:
-        object ret
+        datetime ret
         # year initialized to prevent compiler warnings
         int year = -1, quarter = -1, month
         Py_ssize_t date_len
@@ -505,8 +477,8 @@ cdef object _parse_dateabbr_string(object date_string, datetime default,
         except ValueError:
             pass
 
-    try:
-        if 4 <= date_len <= 7:
+    if 4 <= date_len <= 7:
+        try:
             i = date_string.index("Q", 1, 6)
             if i == 1:
                 quarter = int(date_string[0])
@@ -553,19 +525,21 @@ cdef object _parse_dateabbr_string(object date_string, datetime default,
             ret = default.replace(year=year, month=month)
             return ret, "quarter"
 
-    except DateParseError:
-        raise
-    except ValueError:
-        pass
+        except DateParseError:
+            raise
+        except ValueError:
+            # e.g. if "Q" is not in date_string and .index raised
+            pass
 
     if date_len == 6 and freq == "M":
         year = int(date_string[:4])
         month = int(date_string[4:6])
         try:
             ret = default.replace(year=year, month=month)
             return ret, "month"
-        except ValueError:
-            pass
+        except ValueError as err:
+            # We can infer that none of the patterns below will match
+            raise ValueError(f"Unable to parse {date_string}") from err
 
     for pat in ["%Y-%m", "%b %Y", "%b-%Y"]:
         try:

pandas/_libs/tslibs/period.pyx

@@ -88,7 +88,7 @@ from pandas._libs.tslibs.dtypes cimport (
 )
 from pandas._libs.tslibs.parsing cimport quarter_to_myear
 
-from pandas._libs.tslibs.parsing import parse_time_string
+from pandas._libs.tslibs.parsing import parse_datetime_string_with_reso
 
 from pandas._libs.tslibs.nattype cimport (
     NPY_NAT,
@@ -2589,7 +2589,9 @@ class Period(_Period):
 
                 value = str(value)
             value = value.upper()
-            dt, reso = parse_time_string(value, freq)
+
+            freqstr = freq.rule_code if freq is not None else None
+            dt, reso = parse_datetime_string_with_reso(value, freqstr)
             try:
                 ts = Timestamp(value)
             except ValueError:

pandas/core/indexes/datetimelike.py

@@ -241,7 +241,18 @@ def _parse_with_reso(self, label: str):
                 freq = self.freq
         except NotImplementedError:
             freq = getattr(self, "freqstr", getattr(self, "inferred_freq", None))
-        parsed, reso_str = parsing.parse_time_string(label, freq)
+
+        freqstr: str | None
+        if freq is not None and not isinstance(freq, str):
+            freqstr = freq.rule_code
+        else:
+            freqstr = freq
+
+        if isinstance(label, np.str_):
+            # GH#45580
+            label = str(label)
+
+        parsed, reso_str = parsing.parse_datetime_string_with_reso(label, freqstr)
         reso = Resolution.from_attrname(reso_str)
         return parsed, reso
 

pandas/tests/indexing/test_loc.py

@@ -276,8 +276,9 @@ def test_loc_npstr(self):
     def test_contains_raise_error_if_period_index_is_in_multi_index(self, msg, key):
         # GH#20684
         """
-        parse_time_string return parameter if type not matched.
-        PeriodIndex.get_loc takes returned value from parse_time_string as a tuple.
+        parse_datetime_string_with_reso return parameter if type not matched.
+        PeriodIndex.get_loc takes returned value from parse_datetime_string_with_reso
+        as a tuple.
         If first argument is Period and a tuple has 3 items,
         process go on not raise exception
         """

pandas/tests/tools/test_to_datetime.py

@@ -1623,10 +1623,14 @@ def test_mixed_offsets_with_native_datetime_raises(self):
             "2015-03-14T16:15:14.123-08:00",
             "2019-03-04T21:56:32.620-07:00",
             None,
+            "today",
+            "now",
         ]
         ser = Series(vals)
         assert all(ser[i] is vals[i] for i in range(len(vals)))  # GH#40111
 
+        now = Timestamp("now")
+        today = Timestamp("today")
         mixed = to_datetime(ser)
         expected = Series(
             [
@@ -1638,7 +1642,11 @@ def test_mixed_offsets_with_native_datetime_raises(self):
             ],
             dtype=object,
         )
-        tm.assert_series_equal(mixed, expected)
+        tm.assert_series_equal(mixed[:-2], expected)
+        # we'll check mixed[-1] and mixed[-2] match now and today to within
+        # call-timing tolerances
+        assert (now - mixed.iloc[-1]).total_seconds() <= 0.1
+        assert (today - mixed.iloc[-2]).total_seconds() <= 0.1
 
         with pytest.raises(ValueError, match="Tz-aware datetime.datetime"):
             to_datetime(mixed)
@@ -2901,7 +2909,9 @@ def test_parsers(self, date_str, expected, warning, cache):
         # https://github.com/dateutil/dateutil/issues/217
         yearfirst = True
 
-        result1, _ = parsing.parse_time_string(date_str, yearfirst=yearfirst)
+        result1, _ = parsing.parse_datetime_string_with_reso(
+            date_str, yearfirst=yearfirst
+        )
         with tm.assert_produces_warning(warning, match="Could not infer format"):
             result2 = to_datetime(date_str, yearfirst=yearfirst)
             result3 = to_datetime([date_str], yearfirst=yearfirst)
@@ -2937,7 +2947,7 @@ def test_na_values_with_cache(
 
     def test_parsers_nat(self):
         # Test that each of several string-accepting methods return pd.NaT
-        result1, _ = parsing.parse_time_string("NaT")
+        result1, _ = parsing.parse_datetime_string_with_reso("NaT")
         result2 = to_datetime("NaT")
         result3 = Timestamp("NaT")
         result4 = DatetimeIndex(["NaT"])[0]
@@ -3008,7 +3018,7 @@ def test_parsers_dayfirst_yearfirst(
         dateutil_result = parse(date_str, dayfirst=dayfirst, yearfirst=yearfirst)
         assert dateutil_result == expected
 
-        result1, _ = parsing.parse_time_string(
+        result1, _ = parsing.parse_datetime_string_with_reso(
             date_str, dayfirst=dayfirst, yearfirst=yearfirst
         )
 
@@ -3036,7 +3046,7 @@ def test_parsers_timestring(self, date_str, exp_def):
         # must be the same as dateutil result
         exp_now = parse(date_str)
 
-        result1, _ = parsing.parse_time_string(date_str)
+        result1, _ = parsing.parse_datetime_string_with_reso(date_str)
         with tm.assert_produces_warning(UserWarning, match="Could not infer format"):
             result2 = to_datetime(date_str)
             result3 = to_datetime([date_str])