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599 lines
18 KiB
599 lines
18 KiB
"""
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timezone conversion
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"""
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import cython
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from cython import Py_ssize_t
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from cpython.datetime cimport (
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PyDateTime_IMPORT,
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PyDelta_Check,
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datetime,
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timedelta,
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tzinfo,
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)
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PyDateTime_IMPORT
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from dateutil.tz import tzutc
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import numpy as np
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import pytz
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cimport numpy as cnp
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from numpy cimport (
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int64_t,
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intp_t,
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ndarray,
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uint8_t,
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)
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cnp.import_array()
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from pandas._libs.tslibs.ccalendar cimport (
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DAY_NANOS,
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HOUR_NANOS,
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)
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from pandas._libs.tslibs.nattype cimport NPY_NAT
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from pandas._libs.tslibs.np_datetime cimport (
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dt64_to_dtstruct,
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npy_datetimestruct,
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)
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from pandas._libs.tslibs.timezones cimport (
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get_dst_info,
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get_utcoffset,
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is_fixed_offset,
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is_tzlocal,
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is_utc,
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)
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cdef int64_t tz_localize_to_utc_single(
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int64_t val, tzinfo tz, object ambiguous=None, object nonexistent=None,
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) except? -1:
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"""See tz_localize_to_utc.__doc__"""
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cdef:
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int64_t delta
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int64_t[:] deltas
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if val == NPY_NAT:
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return val
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elif is_utc(tz) or tz is None:
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return val
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elif is_tzlocal(tz):
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return _tz_convert_tzlocal_utc(val, tz, to_utc=True)
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elif is_fixed_offset(tz):
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# TODO: in this case we should be able to use get_utcoffset,
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# that returns None for e.g. 'dateutil//usr/share/zoneinfo/Etc/GMT-9'
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_, deltas, _ = get_dst_info(tz)
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delta = deltas[0]
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return val - delta
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else:
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return tz_localize_to_utc(
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np.array([val], dtype="i8"),
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tz,
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ambiguous=ambiguous,
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nonexistent=nonexistent,
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)[0]
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@cython.boundscheck(False)
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@cython.wraparound(False)
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def tz_localize_to_utc(ndarray[int64_t] vals, tzinfo tz, object ambiguous=None,
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object nonexistent=None):
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"""
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Localize tzinfo-naive i8 to given time zone (using pytz). If
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there are ambiguities in the values, raise AmbiguousTimeError.
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Parameters
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----------
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vals : ndarray[int64_t]
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tz : tzinfo or None
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ambiguous : str, bool, or arraylike
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When clocks moved backward due to DST, ambiguous times may arise.
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For example in Central European Time (UTC+01), when going from 03:00
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DST to 02:00 non-DST, 02:30:00 local time occurs both at 00:30:00 UTC
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and at 01:30:00 UTC. In such a situation, the `ambiguous` parameter
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dictates how ambiguous times should be handled.
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- 'infer' will attempt to infer fall dst-transition hours based on
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order
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- bool-ndarray where True signifies a DST time, False signifies a
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non-DST time (note that this flag is only applicable for ambiguous
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times, but the array must have the same length as vals)
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- bool if True, treat all vals as DST. If False, treat them as non-DST
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- 'NaT' will return NaT where there are ambiguous times
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nonexistent : {None, "NaT", "shift_forward", "shift_backward", "raise", \
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timedelta-like}
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How to handle non-existent times when converting wall times to UTC
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Returns
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-------
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localized : ndarray[int64_t]
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"""
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cdef:
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int64_t[:] deltas, idx_shifted, idx_shifted_left, idx_shifted_right
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ndarray[uint8_t, cast=True] ambiguous_array, both_nat, both_eq
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Py_ssize_t i, idx, pos, ntrans, n = len(vals)
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Py_ssize_t delta_idx_offset, delta_idx, pos_left, pos_right
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int64_t *tdata
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int64_t v, left, right, val, v_left, v_right, new_local, remaining_mins
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int64_t first_delta
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int64_t shift_delta = 0
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ndarray[int64_t] trans, result, result_a, result_b, dst_hours, delta
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ndarray trans_idx, grp, a_idx, b_idx, one_diff
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npy_datetimestruct dts
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bint infer_dst = False, is_dst = False, fill = False
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bint shift_forward = False, shift_backward = False
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bint fill_nonexist = False
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list trans_grp
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str stamp
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# Vectorized version of DstTzInfo.localize
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if is_utc(tz) or tz is None:
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return vals
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result = np.empty(n, dtype=np.int64)
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if is_tzlocal(tz):
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for i in range(n):
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v = vals[i]
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if v == NPY_NAT:
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result[i] = NPY_NAT
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else:
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result[i] = _tz_convert_tzlocal_utc(v, tz, to_utc=True)
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return result
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# silence false-positive compiler warning
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ambiguous_array = np.empty(0, dtype=bool)
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if isinstance(ambiguous, str):
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if ambiguous == 'infer':
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infer_dst = True
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elif ambiguous == 'NaT':
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fill = True
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elif isinstance(ambiguous, bool):
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is_dst = True
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if ambiguous:
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ambiguous_array = np.ones(len(vals), dtype=bool)
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else:
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ambiguous_array = np.zeros(len(vals), dtype=bool)
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elif hasattr(ambiguous, '__iter__'):
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is_dst = True
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if len(ambiguous) != len(vals):
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raise ValueError("Length of ambiguous bool-array must be "
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"the same size as vals")
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ambiguous_array = np.asarray(ambiguous, dtype=bool)
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if nonexistent == 'NaT':
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fill_nonexist = True
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elif nonexistent == 'shift_forward':
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shift_forward = True
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elif nonexistent == 'shift_backward':
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shift_backward = True
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elif PyDelta_Check(nonexistent):
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from .timedeltas import delta_to_nanoseconds
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shift_delta = delta_to_nanoseconds(nonexistent)
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elif nonexistent not in ('raise', None):
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msg = ("nonexistent must be one of {'NaT', 'raise', 'shift_forward', "
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"shift_backwards} or a timedelta object")
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raise ValueError(msg)
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trans, deltas, _ = get_dst_info(tz)
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tdata = <int64_t*>cnp.PyArray_DATA(trans)
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ntrans = len(trans)
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# Determine whether each date lies left of the DST transition (store in
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# result_a) or right of the DST transition (store in result_b)
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result_a = np.empty(n, dtype=np.int64)
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result_b = np.empty(n, dtype=np.int64)
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result_a[:] = NPY_NAT
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result_b[:] = NPY_NAT
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idx_shifted_left = (np.maximum(0, trans.searchsorted(
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vals - DAY_NANOS, side='right') - 1)).astype(np.int64)
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idx_shifted_right = (np.maximum(0, trans.searchsorted(
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vals + DAY_NANOS, side='right') - 1)).astype(np.int64)
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for i in range(n):
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val = vals[i]
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v_left = val - deltas[idx_shifted_left[i]]
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pos_left = bisect_right_i8(tdata, v_left, ntrans) - 1
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# timestamp falls to the left side of the DST transition
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if v_left + deltas[pos_left] == val:
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result_a[i] = v_left
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v_right = val - deltas[idx_shifted_right[i]]
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pos_right = bisect_right_i8(tdata, v_right, ntrans) - 1
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# timestamp falls to the right side of the DST transition
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if v_right + deltas[pos_right] == val:
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result_b[i] = v_right
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# silence false-positive compiler warning
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dst_hours = np.empty(0, dtype=np.int64)
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if infer_dst:
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dst_hours = np.empty(n, dtype=np.int64)
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dst_hours[:] = NPY_NAT
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# Get the ambiguous hours (given the above, these are the hours
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# where result_a != result_b and neither of them are NAT)
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both_nat = np.logical_and(result_a != NPY_NAT, result_b != NPY_NAT)
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both_eq = result_a == result_b
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trans_idx = np.squeeze(np.nonzero(np.logical_and(both_nat, ~both_eq)))
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if trans_idx.size == 1:
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stamp = _render_tstamp(vals[trans_idx])
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raise pytz.AmbiguousTimeError(
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f"Cannot infer dst time from {stamp} as there "
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f"are no repeated times")
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# Split the array into contiguous chunks (where the difference between
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# indices is 1). These are effectively dst transitions in different
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# years which is useful for checking that there is not an ambiguous
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# transition in an individual year.
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if trans_idx.size > 0:
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one_diff = np.where(np.diff(trans_idx) != 1)[0] + 1
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trans_grp = np.array_split(trans_idx, one_diff)
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# Iterate through each day, if there are no hours where the
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# delta is negative (indicates a repeat of hour) the switch
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# cannot be inferred
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for grp in trans_grp:
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delta = np.diff(result_a[grp])
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if grp.size == 1 or np.all(delta > 0):
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stamp = _render_tstamp(vals[grp[0]])
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raise pytz.AmbiguousTimeError(stamp)
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# Find the index for the switch and pull from a for dst and b
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# for standard
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switch_idx = (delta <= 0).nonzero()[0]
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if switch_idx.size > 1:
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raise pytz.AmbiguousTimeError(
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f"There are {switch_idx.size} dst switches when "
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f"there should only be 1.")
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switch_idx = switch_idx[0] + 1
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# Pull the only index and adjust
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a_idx = grp[:switch_idx]
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b_idx = grp[switch_idx:]
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dst_hours[grp] = np.hstack((result_a[a_idx], result_b[b_idx]))
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for i in range(n):
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val = vals[i]
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left = result_a[i]
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right = result_b[i]
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if val == NPY_NAT:
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result[i] = val
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elif left != NPY_NAT and right != NPY_NAT:
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if left == right:
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result[i] = left
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else:
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if infer_dst and dst_hours[i] != NPY_NAT:
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result[i] = dst_hours[i]
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elif is_dst:
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if ambiguous_array[i]:
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result[i] = left
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else:
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result[i] = right
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elif fill:
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result[i] = NPY_NAT
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else:
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stamp = _render_tstamp(val)
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raise pytz.AmbiguousTimeError(
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f"Cannot infer dst time from {stamp}, try using the "
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f"'ambiguous' argument")
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elif left != NPY_NAT:
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result[i] = left
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elif right != NPY_NAT:
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result[i] = right
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else:
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# Handle nonexistent times
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if shift_forward or shift_backward or shift_delta != 0:
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# Shift the nonexistent time to the closest existing time
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remaining_mins = val % HOUR_NANOS
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if shift_delta != 0:
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# Validate that we don't relocalize on another nonexistent
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# time
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if -1 < shift_delta + remaining_mins < HOUR_NANOS:
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raise ValueError(
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f"The provided timedelta will relocalize on a "
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f"nonexistent time: {nonexistent}"
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)
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new_local = val + shift_delta
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elif shift_forward:
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new_local = val + (HOUR_NANOS - remaining_mins)
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else:
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# Subtract 1 since the beginning hour is _inclusive_ of
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# nonexistent times
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new_local = val - remaining_mins - 1
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delta_idx = trans.searchsorted(new_local, side='right')
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# Shift the delta_idx by if the UTC offset of
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# the target tz is greater than 0 and we're moving forward
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# or vice versa
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first_delta = deltas[0]
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if (shift_forward or shift_delta > 0) and first_delta > 0:
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delta_idx_offset = 1
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elif (shift_backward or shift_delta < 0) and first_delta < 0:
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delta_idx_offset = 1
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else:
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delta_idx_offset = 0
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delta_idx = delta_idx - delta_idx_offset
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result[i] = new_local - deltas[delta_idx]
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elif fill_nonexist:
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result[i] = NPY_NAT
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else:
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stamp = _render_tstamp(val)
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raise pytz.NonExistentTimeError(stamp)
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return result
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cdef inline Py_ssize_t bisect_right_i8(int64_t *data,
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int64_t val, Py_ssize_t n):
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cdef:
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Py_ssize_t pivot, left = 0, right = n
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assert n >= 1
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# edge cases
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if val > data[n - 1]:
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return n
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if val < data[0]:
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return 0
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while left < right:
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pivot = left + (right - left) // 2
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if data[pivot] <= val:
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left = pivot + 1
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else:
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right = pivot
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return left
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cdef inline str _render_tstamp(int64_t val):
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""" Helper function to render exception messages"""
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from pandas._libs.tslibs.timestamps import Timestamp
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return str(Timestamp(val))
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# ----------------------------------------------------------------------
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# Timezone Conversion
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cdef int64_t tz_convert_utc_to_tzlocal(
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int64_t utc_val, tzinfo tz, bint* fold=NULL
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) except? -1:
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"""
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Parameters
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----------
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utc_val : int64_t
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tz : tzinfo
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fold : bint*
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pointer to fold: whether datetime ends up in a fold or not
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after adjustment
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Returns
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-------
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local_val : int64_t
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"""
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return _tz_convert_tzlocal_utc(utc_val, tz, to_utc=False, fold=fold)
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cpdef int64_t tz_convert_from_utc_single(int64_t val, tzinfo tz):
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"""
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Convert the val (in i8) from UTC to tz
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This is a single value version of tz_convert_from_utc.
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Parameters
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----------
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val : int64
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tz : tzinfo
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Returns
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-------
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converted: int64
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"""
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cdef:
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int64_t delta
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int64_t[:] deltas
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ndarray[int64_t, ndim=1] trans
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intp_t pos
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if val == NPY_NAT:
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return val
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if is_utc(tz):
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return val
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elif is_tzlocal(tz):
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return _tz_convert_tzlocal_utc(val, tz, to_utc=False)
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elif is_fixed_offset(tz):
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_, deltas, _ = get_dst_info(tz)
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delta = deltas[0]
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return val + delta
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else:
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trans, deltas, _ = get_dst_info(tz)
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pos = trans.searchsorted(val, side="right") - 1
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return val + deltas[pos]
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|
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def tz_convert_from_utc(const int64_t[:] vals, tzinfo tz):
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"""
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Convert the values (in i8) from UTC to tz
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Parameters
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----------
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vals : int64 ndarray
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tz : tzinfo
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Returns
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-------
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int64 ndarray of converted
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"""
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cdef:
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const int64_t[:] converted
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if len(vals) == 0:
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return np.array([], dtype=np.int64)
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converted = _tz_convert_from_utc(vals, tz)
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return np.array(converted, dtype=np.int64)
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|
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@cython.boundscheck(False)
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@cython.wraparound(False)
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cdef const int64_t[:] _tz_convert_from_utc(const int64_t[:] vals, tzinfo tz):
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"""
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Convert the given values (in i8) either to UTC or from UTC.
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|
Parameters
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----------
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vals : int64 ndarray
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tz : tzinfo
|
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|
Returns
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-------
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converted : ndarray[int64_t]
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"""
|
|
cdef:
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int64_t[:] converted, deltas
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Py_ssize_t i, n = len(vals)
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int64_t val, delta
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intp_t[:] pos
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ndarray[int64_t] trans
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str typ
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if is_utc(tz):
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return vals
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elif is_tzlocal(tz):
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converted = np.empty(n, dtype=np.int64)
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for i in range(n):
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val = vals[i]
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if val == NPY_NAT:
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converted[i] = NPY_NAT
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else:
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converted[i] = _tz_convert_tzlocal_utc(val, tz, to_utc=False)
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else:
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converted = np.empty(n, dtype=np.int64)
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trans, deltas, typ = get_dst_info(tz)
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if typ not in ["pytz", "dateutil"]:
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# FixedOffset, we know len(deltas) == 1
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delta = deltas[0]
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for i in range(n):
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val = vals[i]
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if val == NPY_NAT:
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converted[i] = val
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else:
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converted[i] = val + delta
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else:
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pos = trans.searchsorted(vals, side="right") - 1
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for i in range(n):
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val = vals[i]
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if val == NPY_NAT:
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converted[i] = val
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else:
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if pos[i] < 0:
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# TODO: How is this reached? Should we be checking for
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# it elsewhere?
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raise ValueError("First time before start of DST info")
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converted[i] = val + deltas[pos[i]]
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return converted
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# OSError may be thrown by tzlocal on windows at or close to 1970-01-01
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# see https://github.com/pandas-dev/pandas/pull/37591#issuecomment-720628241
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cdef inline int64_t _tzlocal_get_offset_components(int64_t val, tzinfo tz,
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bint to_utc,
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bint *fold=NULL) except? -1:
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"""
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Calculate offset in nanoseconds needed to convert the i8 representation of
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a datetime from a tzlocal timezone to UTC, or vice-versa.
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Parameters
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----------
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val : int64_t
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tz : tzinfo
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to_utc : bint
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True if converting tzlocal _to_ UTC, False if going the other direction
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fold : bint*, default NULL
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pointer to fold: whether datetime ends up in a fold or not
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after adjustment
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Returns
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-------
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delta : int64_t
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Notes
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-----
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Sets fold by pointer
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"""
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cdef:
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npy_datetimestruct dts
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datetime dt
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int64_t delta
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timedelta td
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dt64_to_dtstruct(val, &dts)
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dt = datetime(dts.year, dts.month, dts.day, dts.hour,
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dts.min, dts.sec, dts.us)
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# tz.utcoffset only makes sense if datetime
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# is _wall time_, so if val is a UTC timestamp convert to wall time
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if not to_utc:
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dt = dt.replace(tzinfo=tzutc())
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dt = dt.astimezone(tz)
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if fold is not NULL:
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fold[0] = dt.fold
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td = tz.utcoffset(dt)
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return int(td.total_seconds() * 1_000_000_000)
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# OSError may be thrown by tzlocal on windows at or close to 1970-01-01
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# see https://github.com/pandas-dev/pandas/pull/37591#issuecomment-720628241
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cdef int64_t _tz_convert_tzlocal_utc(int64_t val, tzinfo tz, bint to_utc=True,
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bint* fold=NULL) except? -1:
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"""
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Convert the i8 representation of a datetime from a tzlocal timezone to
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UTC, or vice-versa.
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Private, not intended for use outside of tslibs.conversion
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Parameters
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----------
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val : int64_t
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tz : tzinfo
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to_utc : bint
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True if converting tzlocal _to_ UTC, False if going the other direction
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fold : bint*
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pointer to fold: whether datetime ends up in a fold or not
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after adjustment
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Returns
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-------
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result : int64_t
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Notes
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-----
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Sets fold by pointer
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"""
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cdef:
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int64_t delta
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delta = _tzlocal_get_offset_components(val, tz, to_utc, fold)
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if to_utc:
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return val - delta
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else:
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return val + delta
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