""" Tests for Timestamp parsing, aimed at pandas/_libs/tslibs/parsing.pyx """ from datetime import datetime import re from dateutil.parser import parse as du_parse from dateutil.tz import tzlocal import numpy as np import pytest from pandas._libs.tslibs import ( parsing, strptime, ) from pandas._libs.tslibs.parsing import parse_datetime_string_with_reso import pandas.util._test_decorators as td import pandas._testing as tm @td.skip_if_windows def test_parsing_tzlocal_deprecated(): # GH#50791 msg = "Pass the 'tz' keyword or call tz_localize after construction instead" dtstr = "Jan 15 2004 03:00 EST" with tm.set_timezone("US/Eastern"): with tm.assert_produces_warning(FutureWarning, match=msg): res, _ = parse_datetime_string_with_reso(dtstr) assert isinstance(res.tzinfo, tzlocal) with tm.assert_produces_warning(FutureWarning, match=msg): res = parsing.py_parse_datetime_string(dtstr) assert isinstance(res.tzinfo, tzlocal) def test_parse_datetime_string_with_reso(): (parsed, reso) = parse_datetime_string_with_reso("4Q1984") (parsed_lower, reso_lower) = parse_datetime_string_with_reso("4q1984") assert reso == reso_lower assert parsed == parsed_lower def test_parse_datetime_string_with_reso_nanosecond_reso(): # GH#46811 parsed, reso = parse_datetime_string_with_reso("2022-04-20 09:19:19.123456789") assert reso == "nanosecond" def test_parse_datetime_string_with_reso_invalid_type(): # Raise on invalid input, don't just return it msg = "Argument 'date_string' has incorrect type (expected str, got tuple)" with pytest.raises(TypeError, match=re.escape(msg)): parse_datetime_string_with_reso((4, 5)) @pytest.mark.parametrize( "dashed,normal", [("1988-Q2", "1988Q2"), ("2Q-1988", "2Q1988")] ) def test_parse_time_quarter_with_dash(dashed, normal): # see gh-9688 (parsed_dash, reso_dash) = parse_datetime_string_with_reso(dashed) (parsed, reso) = parse_datetime_string_with_reso(normal) assert parsed_dash == parsed assert reso_dash == reso @pytest.mark.parametrize("dashed", ["-2Q1992", "2-Q1992", "4-4Q1992"]) def test_parse_time_quarter_with_dash_error(dashed): msg = f"Unknown datetime string format, unable to parse: {dashed}" with pytest.raises(parsing.DateParseError, match=msg): parse_datetime_string_with_reso(dashed) @pytest.mark.parametrize( "date_string,expected", [ ("123.1234", False), ("-50000", False), ("999", False), ("m", False), ("T", False), ("Mon Sep 16, 2013", True), ("2012-01-01", True), ("01/01/2012", True), ("01012012", True), ("0101", True), ("1-1", True), ], ) def test_does_not_convert_mixed_integer(date_string, expected): assert parsing._does_string_look_like_datetime(date_string) is expected @pytest.mark.parametrize( "date_str,kwargs,msg", [ ( "2013Q5", {}, ( "Incorrect quarterly string is given, " "quarter must be between 1 and 4: 2013Q5" ), ), # see gh-5418 ( "2013Q1", {"freq": "INVLD-L-DEC-SAT"}, ( "Unable to retrieve month information " "from given freq: INVLD-L-DEC-SAT" ), ), ], ) def test_parsers_quarterly_with_freq_error(date_str, kwargs, msg): with pytest.raises(parsing.DateParseError, match=msg): parsing.parse_datetime_string_with_reso(date_str, **kwargs) @pytest.mark.parametrize( "date_str,freq,expected", [ ("2013Q2", None, datetime(2013, 4, 1)), ("2013Q2", "A-APR", datetime(2012, 8, 1)), ("2013-Q2", "A-DEC", datetime(2013, 4, 1)), ], ) def test_parsers_quarterly_with_freq(date_str, freq, expected): result, _ = parsing.parse_datetime_string_with_reso(date_str, freq=freq) assert result == expected @pytest.mark.parametrize( "date_str", ["2Q 2005", "2Q-200A", "2Q-200", "22Q2005", "2Q200.", "6Q-20"] ) def test_parsers_quarter_invalid(date_str): if date_str == "6Q-20": msg = ( "Incorrect quarterly string is given, quarter " f"must be between 1 and 4: {date_str}" ) else: msg = f"Unknown datetime string format, unable to parse: {date_str}" with pytest.raises(ValueError, match=msg): parsing.parse_datetime_string_with_reso(date_str) @pytest.mark.parametrize( "date_str,expected", [("201101", datetime(2011, 1, 1, 0, 0)), ("200005", datetime(2000, 5, 1, 0, 0))], ) def test_parsers_month_freq(date_str, expected): result, _ = parsing.parse_datetime_string_with_reso(date_str, freq="M") assert result == expected @td.skip_if_not_us_locale @pytest.mark.parametrize( "string,fmt", [ ("20111230", "%Y%m%d"), ("201112300000", "%Y%m%d%H%M"), ("20111230000000", "%Y%m%d%H%M%S"), ("20111230T00", "%Y%m%dT%H"), ("20111230T0000", "%Y%m%dT%H%M"), ("20111230T000000", "%Y%m%dT%H%M%S"), ("2011-12-30", "%Y-%m-%d"), ("2011", "%Y"), ("2011-01", "%Y-%m"), ("30-12-2011", "%d-%m-%Y"), ("2011-12-30 00:00:00", "%Y-%m-%d %H:%M:%S"), ("2011-12-30T00:00:00", "%Y-%m-%dT%H:%M:%S"), ("2011-12-30T00:00:00UTC", "%Y-%m-%dT%H:%M:%S%Z"), ("2011-12-30T00:00:00Z", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00+9", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00+09", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00+090", None), ("2011-12-30T00:00:00+0900", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00-0900", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00+09:00", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00+09:000", None), ("2011-12-30T00:00:00+9:0", "%Y-%m-%dT%H:%M:%S%z"), ("2011-12-30T00:00:00+09:", None), ("2011-12-30T00:00:00.000000UTC", "%Y-%m-%dT%H:%M:%S.%f%Z"), ("2011-12-30T00:00:00.000000Z", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000+9", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000+09", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000+090", None), ("2011-12-30T00:00:00.000000+0900", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000-0900", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000+09:00", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000+09:000", None), ("2011-12-30T00:00:00.000000+9:0", "%Y-%m-%dT%H:%M:%S.%f%z"), ("2011-12-30T00:00:00.000000+09:", None), ("2011-12-30 00:00:00.000000", "%Y-%m-%d %H:%M:%S.%f"), ("Tue 24 Aug 2021 01:30:48", "%a %d %b %Y %H:%M:%S"), ("Tuesday 24 Aug 2021 01:30:48", "%A %d %b %Y %H:%M:%S"), ("Tue 24 Aug 2021 01:30:48 AM", "%a %d %b %Y %I:%M:%S %p"), ("Tuesday 24 Aug 2021 01:30:48 AM", "%A %d %b %Y %I:%M:%S %p"), ("27.03.2003 14:55:00.000", "%d.%m.%Y %H:%M:%S.%f"), # GH50317 ], ) def test_guess_datetime_format_with_parseable_formats(string, fmt): with tm.maybe_produces_warning( UserWarning, fmt is not None and re.search(r"%d.*%m", fmt) ): result = parsing.guess_datetime_format(string) assert result == fmt @pytest.mark.parametrize("dayfirst,expected", [(True, "%d/%m/%Y"), (False, "%m/%d/%Y")]) def test_guess_datetime_format_with_dayfirst(dayfirst, expected): ambiguous_string = "01/01/2011" result = parsing.guess_datetime_format(ambiguous_string, dayfirst=dayfirst) assert result == expected @td.skip_if_not_us_locale @pytest.mark.parametrize( "string,fmt", [ ("30/Dec/2011", "%d/%b/%Y"), ("30/December/2011", "%d/%B/%Y"), ("30/Dec/2011 00:00:00", "%d/%b/%Y %H:%M:%S"), ], ) def test_guess_datetime_format_with_locale_specific_formats(string, fmt): result = parsing.guess_datetime_format(string) assert result == fmt @pytest.mark.parametrize( "invalid_dt", [ "01/2013", "12:00:00", "1/1/1/1", "this_is_not_a_datetime", "51a", "13/2019", "202001", # YYYYMM isn't ISO8601 "2020/01", # YYYY/MM isn't ISO8601 either "87156549591102612381000001219H5", ], ) def test_guess_datetime_format_invalid_inputs(invalid_dt): # A datetime string must include a year, month and a day for it to be # guessable, in addition to being a string that looks like a datetime. assert parsing.guess_datetime_format(invalid_dt) is None @pytest.mark.parametrize("invalid_type_dt", [9, datetime(2011, 1, 1)]) def test_guess_datetime_format_wrong_type_inputs(invalid_type_dt): # A datetime string must include a year, month and a day for it to be # guessable, in addition to being a string that looks like a datetime. with pytest.raises( TypeError, match=r"^Argument 'dt_str' has incorrect type \(expected str, got .*\)$", ): parsing.guess_datetime_format(invalid_type_dt) @pytest.mark.parametrize( "string,fmt,dayfirst,warning", [ ("2011-1-1", "%Y-%m-%d", False, None), ("2011-1-1", "%Y-%d-%m", True, None), ("1/1/2011", "%m/%d/%Y", False, None), ("1/1/2011", "%d/%m/%Y", True, None), ("30-1-2011", "%d-%m-%Y", False, UserWarning), ("30-1-2011", "%d-%m-%Y", True, None), ("2011-1-1 0:0:0", "%Y-%m-%d %H:%M:%S", False, None), ("2011-1-1 0:0:0", "%Y-%d-%m %H:%M:%S", True, None), ("2011-1-3T00:00:0", "%Y-%m-%dT%H:%M:%S", False, None), ("2011-1-3T00:00:0", "%Y-%d-%mT%H:%M:%S", True, None), ("2011-1-1 00:00:00", "%Y-%m-%d %H:%M:%S", False, None), ("2011-1-1 00:00:00", "%Y-%d-%m %H:%M:%S", True, None), ], ) def test_guess_datetime_format_no_padding(string, fmt, dayfirst, warning): # see gh-11142 msg = ( rf"Parsing dates in {fmt} format when dayfirst=False \(the default\) " "was specified. " "Pass `dayfirst=True` or specify a format to silence this warning." ) with tm.assert_produces_warning(warning, match=msg): result = parsing.guess_datetime_format(string, dayfirst=dayfirst) assert result == fmt def test_try_parse_dates(): arr = np.array(["5/1/2000", "6/1/2000", "7/1/2000"], dtype=object) result = parsing.try_parse_dates(arr, parser=lambda x: du_parse(x, dayfirst=True)) expected = np.array([du_parse(d, dayfirst=True) for d in arr]) tm.assert_numpy_array_equal(result, expected) def test_parse_datetime_string_with_reso_check_instance_type_raise_exception(): # issue 20684 msg = "Argument 'date_string' has incorrect type (expected str, got tuple)" with pytest.raises(TypeError, match=re.escape(msg)): parse_datetime_string_with_reso((1, 2, 3)) result = parse_datetime_string_with_reso("2019") expected = (datetime(2019, 1, 1), "year") assert result == expected @pytest.mark.parametrize( "fmt,expected", [ ("%Y %m %d %H:%M:%S", True), ("%Y/%m/%d %H:%M:%S", True), (r"%Y\%m\%d %H:%M:%S", True), ("%Y-%m-%d %H:%M:%S", True), ("%Y.%m.%d %H:%M:%S", True), ("%Y%m%d %H:%M:%S", True), ("%Y-%m-%dT%H:%M:%S", True), ("%Y-%m-%dT%H:%M:%S%z", True), ("%Y-%m-%dT%H:%M:%S%Z", False), ("%Y-%m-%dT%H:%M:%S.%f", True), ("%Y-%m-%dT%H:%M:%S.%f%z", True), ("%Y-%m-%dT%H:%M:%S.%f%Z", False), ("%Y%m%d", True), ("%Y%m", False), ("%Y", True), ("%Y-%m-%d", True), ("%Y-%m", True), ], ) def test_is_iso_format(fmt, expected): # see gh-41047 result = strptime._test_format_is_iso(fmt) assert result == expected @pytest.mark.parametrize( "input", [ "2018-01-01T00:00:00.123456789", "2018-01-01T00:00:00.123456", "2018-01-01T00:00:00.123", ], ) def test_guess_datetime_format_f(input): # https://github.com/pandas-dev/pandas/issues/49043 result = parsing.guess_datetime_format(input) expected = "%Y-%m-%dT%H:%M:%S.%f" assert result == expected