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from __future__ import annotations
from typing import TYPE_CHECKING, Any, Callable, ClassVar, Mapping, cast
import pyarrow as pa
import pyarrow.compute as pc
from narwhals._arrow.utils import UNITS_DICT, ArrowSeriesNamespace, floordiv_compat, lit
from narwhals._duration import parse_interval_string
if TYPE_CHECKING:
from typing_extensions import TypeAlias
from narwhals._arrow.series import ArrowSeries
from narwhals._arrow.typing import ChunkedArrayAny, ScalarAny
from narwhals.dtypes import Datetime
from narwhals.typing import TimeUnit
UnitCurrent: TypeAlias = TimeUnit
UnitTarget: TypeAlias = TimeUnit
BinOpBroadcast: TypeAlias = Callable[[ChunkedArrayAny, ScalarAny], ChunkedArrayAny]
IntoRhs: TypeAlias = int
class ArrowSeriesDateTimeNamespace(ArrowSeriesNamespace):
_TIMESTAMP_DATE_FACTOR: ClassVar[Mapping[TimeUnit, int]] = {
"ns": 1_000_000_000,
"us": 1_000_000,
"ms": 1_000,
"s": 1,
}
_TIMESTAMP_DATETIME_OP_FACTOR: ClassVar[
Mapping[tuple[UnitCurrent, UnitTarget], tuple[BinOpBroadcast, IntoRhs]]
] = {
("ns", "us"): (floordiv_compat, 1_000),
("ns", "ms"): (floordiv_compat, 1_000_000),
("us", "ns"): (pc.multiply, 1_000),
("us", "ms"): (floordiv_compat, 1_000),
("ms", "ns"): (pc.multiply, 1_000_000),
("ms", "us"): (pc.multiply, 1_000),
("s", "ns"): (pc.multiply, 1_000_000_000),
("s", "us"): (pc.multiply, 1_000_000),
("s", "ms"): (pc.multiply, 1_000),
}
@property
def unit(self) -> TimeUnit: # NOTE: Unsafe (native).
return cast("pa.TimestampType[TimeUnit, Any]", self.native.type).unit
@property
def time_zone(self) -> str | None: # NOTE: Unsafe (narwhals).
return cast("Datetime", self.compliant.dtype).time_zone
def to_string(self, format: str) -> ArrowSeries:
# PyArrow differs from other libraries in that %S also prints out
# the fractional part of the second...:'(
# https://arrow.apache.org/docs/python/generated/pyarrow.compute.strftime.html
format = format.replace("%S.%f", "%S").replace("%S%.f", "%S")
return self.with_native(pc.strftime(self.native, format))
def replace_time_zone(self, time_zone: str | None) -> ArrowSeries:
if time_zone is not None:
result = pc.assume_timezone(pc.local_timestamp(self.native), time_zone)
else:
result = pc.local_timestamp(self.native)
return self.with_native(result)
def convert_time_zone(self, time_zone: str) -> ArrowSeries:
ser = self.replace_time_zone("UTC") if self.time_zone is None else self.compliant
return self.with_native(ser.native.cast(pa.timestamp(self.unit, time_zone)))
def timestamp(self, time_unit: TimeUnit) -> ArrowSeries:
ser = self.compliant
dtypes = ser._version.dtypes
if isinstance(ser.dtype, dtypes.Datetime):
current = ser.dtype.time_unit
s_cast = self.native.cast(pa.int64())
if current == time_unit:
result = s_cast
elif item := self._TIMESTAMP_DATETIME_OP_FACTOR.get((current, time_unit)):
fn, factor = item
result = fn(s_cast, lit(factor))
else: # pragma: no cover
msg = f"unexpected time unit {current}, please report an issue at https://github.com/narwhals-dev/narwhals"
raise AssertionError(msg)
return self.with_native(result)
elif isinstance(ser.dtype, dtypes.Date):
time_s = pc.multiply(self.native.cast(pa.int32()), lit(86_400))
factor = self._TIMESTAMP_DATE_FACTOR[time_unit]
return self.with_native(pc.multiply(time_s, lit(factor)))
else:
msg = "Input should be either of Date or Datetime type"
raise TypeError(msg)
def date(self) -> ArrowSeries:
return self.with_native(self.native.cast(pa.date32()))
def year(self) -> ArrowSeries:
return self.with_native(pc.year(self.native))
def month(self) -> ArrowSeries:
return self.with_native(pc.month(self.native))
def day(self) -> ArrowSeries:
return self.with_native(pc.day(self.native))
def hour(self) -> ArrowSeries:
return self.with_native(pc.hour(self.native))
def minute(self) -> ArrowSeries:
return self.with_native(pc.minute(self.native))
def second(self) -> ArrowSeries:
return self.with_native(pc.second(self.native))
def millisecond(self) -> ArrowSeries:
return self.with_native(pc.millisecond(self.native))
def microsecond(self) -> ArrowSeries:
arr = self.native
result = pc.add(pc.multiply(pc.millisecond(arr), lit(1000)), pc.microsecond(arr))
return self.with_native(result)
def nanosecond(self) -> ArrowSeries:
result = pc.add(
pc.multiply(self.microsecond().native, lit(1000)), pc.nanosecond(self.native)
)
return self.with_native(result)
def ordinal_day(self) -> ArrowSeries:
return self.with_native(pc.day_of_year(self.native))
def weekday(self) -> ArrowSeries:
return self.with_native(pc.day_of_week(self.native, count_from_zero=False))
def total_minutes(self) -> ArrowSeries:
unit_to_minutes_factor = {
"s": 60, # seconds
"ms": 60 * 1e3, # milli
"us": 60 * 1e6, # micro
"ns": 60 * 1e9, # nano
}
factor = lit(unit_to_minutes_factor[self.unit], type=pa.int64())
return self.with_native(pc.divide(self.native, factor).cast(pa.int64()))
def total_seconds(self) -> ArrowSeries:
unit_to_seconds_factor = {
"s": 1, # seconds
"ms": 1e3, # milli
"us": 1e6, # micro
"ns": 1e9, # nano
}
factor = lit(unit_to_seconds_factor[self.unit], type=pa.int64())
return self.with_native(pc.divide(self.native, factor).cast(pa.int64()))
def total_milliseconds(self) -> ArrowSeries:
unit_to_milli_factor = {
"s": 1e3, # seconds
"ms": 1, # milli
"us": 1e3, # micro
"ns": 1e6, # nano
}
factor = lit(unit_to_milli_factor[self.unit], type=pa.int64())
if self.unit == "s":
return self.with_native(pc.multiply(self.native, factor).cast(pa.int64()))
return self.with_native(pc.divide(self.native, factor).cast(pa.int64()))
def total_microseconds(self) -> ArrowSeries:
unit_to_micro_factor = {
"s": 1e6, # seconds
"ms": 1e3, # milli
"us": 1, # micro
"ns": 1e3, # nano
}
factor = lit(unit_to_micro_factor[self.unit], type=pa.int64())
if self.unit in {"s", "ms"}:
return self.with_native(pc.multiply(self.native, factor).cast(pa.int64()))
return self.with_native(pc.divide(self.native, factor).cast(pa.int64()))
def total_nanoseconds(self) -> ArrowSeries:
unit_to_nano_factor = {
"s": 1e9, # seconds
"ms": 1e6, # milli
"us": 1e3, # micro
"ns": 1, # nano
}
factor = lit(unit_to_nano_factor[self.unit], type=pa.int64())
return self.with_native(pc.multiply(self.native, factor).cast(pa.int64()))
def truncate(self, every: str) -> ArrowSeries:
multiple, unit = parse_interval_string(every)
return self.with_native(
pc.floor_temporal(self.native, multiple=multiple, unit=UNITS_DICT[unit])
)
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