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from __future__ import annotations
from functools import lru_cache
from typing import TYPE_CHECKING, Any, Literal, Mapping
import ibis
import ibis.expr.datatypes as ibis_dtypes
from narwhals._utils import isinstance_or_issubclass
if TYPE_CHECKING:
import ibis.expr.types as ir
from ibis.expr.datatypes import DataType as IbisDataType
from typing_extensions import TypeAlias, TypeIs
from narwhals._duration import IntervalUnit
from narwhals._ibis.dataframe import IbisLazyFrame
from narwhals._ibis.expr import IbisExpr
from narwhals._utils import Version
from narwhals.dtypes import DType
from narwhals.typing import IntoDType
lit = ibis.literal
"""Alias for `ibis.literal`."""
BucketUnit: TypeAlias = Literal[
"years",
"quarters",
"months",
"days",
"hours",
"minutes",
"seconds",
"milliseconds",
"microseconds",
"nanoseconds",
]
TruncateUnit: TypeAlias = Literal[
"Y", "Q", "M", "W", "D", "h", "m", "s", "ms", "us", "ns"
]
UNITS_DICT_BUCKET: Mapping[IntervalUnit, BucketUnit] = {
"y": "years",
"q": "quarters",
"mo": "months",
"d": "days",
"h": "hours",
"m": "minutes",
"s": "seconds",
"ms": "milliseconds",
"us": "microseconds",
"ns": "nanoseconds",
}
UNITS_DICT_TRUNCATE: Mapping[IntervalUnit, TruncateUnit] = {
"y": "Y",
"q": "Q",
"mo": "M",
"d": "D",
"h": "h",
"m": "m",
"s": "s",
"ms": "ms",
"us": "us",
"ns": "ns",
}
def evaluate_exprs(df: IbisLazyFrame, /, *exprs: IbisExpr) -> list[tuple[str, ir.Value]]:
native_results: list[tuple[str, ir.Value]] = []
for expr in exprs:
native_series_list = expr(df)
output_names = expr._evaluate_output_names(df)
if expr._alias_output_names is not None:
output_names = expr._alias_output_names(output_names)
if len(output_names) != len(native_series_list): # pragma: no cover
msg = f"Internal error: got output names {output_names}, but only got {len(native_series_list)} results"
raise AssertionError(msg)
native_results.extend(zip(output_names, native_series_list))
return native_results
@lru_cache(maxsize=16)
def native_to_narwhals_dtype(ibis_dtype: IbisDataType, version: Version) -> DType: # noqa: C901, PLR0912
dtypes = version.dtypes
if ibis_dtype.is_int64():
return dtypes.Int64()
if ibis_dtype.is_int32():
return dtypes.Int32()
if ibis_dtype.is_int16():
return dtypes.Int16()
if ibis_dtype.is_int8():
return dtypes.Int8()
if ibis_dtype.is_uint64():
return dtypes.UInt64()
if ibis_dtype.is_uint32():
return dtypes.UInt32()
if ibis_dtype.is_uint16():
return dtypes.UInt16()
if ibis_dtype.is_uint8():
return dtypes.UInt8()
if ibis_dtype.is_boolean():
return dtypes.Boolean()
if ibis_dtype.is_float64():
return dtypes.Float64()
if ibis_dtype.is_float32():
return dtypes.Float32()
if ibis_dtype.is_string():
return dtypes.String()
if ibis_dtype.is_date():
return dtypes.Date()
if ibis_dtype.is_timestamp():
return dtypes.Datetime()
if is_interval(ibis_dtype):
_time_unit = ibis_dtype.unit.value
if _time_unit not in {"ns", "us", "ms", "s"}: # pragma: no cover
msg = f"Unsupported interval unit: {_time_unit}"
raise NotImplementedError(msg)
return dtypes.Duration(_time_unit)
if is_array(ibis_dtype):
if ibis_dtype.length:
return dtypes.Array(
native_to_narwhals_dtype(ibis_dtype.value_type, version),
ibis_dtype.length,
)
else:
return dtypes.List(native_to_narwhals_dtype(ibis_dtype.value_type, version))
if is_struct(ibis_dtype):
return dtypes.Struct(
[
dtypes.Field(name, native_to_narwhals_dtype(dtype, version))
for name, dtype in ibis_dtype.items()
]
)
if ibis_dtype.is_decimal(): # pragma: no cover
return dtypes.Decimal()
if ibis_dtype.is_time():
return dtypes.Time()
if ibis_dtype.is_binary():
return dtypes.Binary()
return dtypes.Unknown() # pragma: no cover
def is_interval(obj: IbisDataType) -> TypeIs[ibis_dtypes.Interval]:
return obj.is_interval()
def is_array(obj: IbisDataType) -> TypeIs[ibis_dtypes.Array[Any]]:
return obj.is_array()
def is_struct(obj: IbisDataType) -> TypeIs[ibis_dtypes.Struct]:
return obj.is_struct()
def is_floating(obj: IbisDataType) -> TypeIs[ibis_dtypes.Floating]:
return obj.is_floating()
def narwhals_to_native_dtype( # noqa: C901, PLR0912
dtype: IntoDType, version: Version
) -> IbisDataType:
dtypes = version.dtypes
if isinstance_or_issubclass(dtype, dtypes.Decimal): # pragma: no cover
return ibis_dtypes.Decimal()
if isinstance_or_issubclass(dtype, dtypes.Float64):
return ibis_dtypes.Float64()
if isinstance_or_issubclass(dtype, dtypes.Float32):
return ibis_dtypes.Float32()
if isinstance_or_issubclass(dtype, dtypes.Int128): # pragma: no cover
msg = "Int128 not supported by Ibis"
raise NotImplementedError(msg)
if isinstance_or_issubclass(dtype, dtypes.Int64):
return ibis_dtypes.Int64()
if isinstance_or_issubclass(dtype, dtypes.Int32):
return ibis_dtypes.Int32()
if isinstance_or_issubclass(dtype, dtypes.Int16):
return ibis_dtypes.Int16()
if isinstance_or_issubclass(dtype, dtypes.Int8):
return ibis_dtypes.Int8()
if isinstance_or_issubclass(dtype, dtypes.UInt128): # pragma: no cover
msg = "UInt128 not supported by Ibis"
raise NotImplementedError(msg)
if isinstance_or_issubclass(dtype, dtypes.UInt64):
return ibis_dtypes.UInt64()
if isinstance_or_issubclass(dtype, dtypes.UInt32):
return ibis_dtypes.UInt32()
if isinstance_or_issubclass(dtype, dtypes.UInt16):
return ibis_dtypes.UInt16()
if isinstance_or_issubclass(dtype, dtypes.UInt8):
return ibis_dtypes.UInt8()
if isinstance_or_issubclass(dtype, dtypes.String):
return ibis_dtypes.String()
if isinstance_or_issubclass(dtype, dtypes.Boolean):
return ibis_dtypes.Boolean()
if isinstance_or_issubclass(dtype, dtypes.Categorical):
msg = "Categorical not supported by Ibis"
raise NotImplementedError(msg)
if isinstance_or_issubclass(dtype, dtypes.Datetime):
return ibis_dtypes.Timestamp()
if isinstance_or_issubclass(dtype, dtypes.Duration):
return ibis_dtypes.Interval(unit=dtype.time_unit) # pyright: ignore[reportArgumentType]
if isinstance_or_issubclass(dtype, dtypes.Date):
return ibis_dtypes.Date()
if isinstance_or_issubclass(dtype, dtypes.Time):
return ibis_dtypes.Time()
if isinstance_or_issubclass(dtype, dtypes.List):
inner = narwhals_to_native_dtype(dtype.inner, version)
return ibis_dtypes.Array(value_type=inner)
if isinstance_or_issubclass(dtype, dtypes.Struct):
fields = [
(field.name, narwhals_to_native_dtype(field.dtype, version))
for field in dtype.fields
]
return ibis_dtypes.Struct.from_tuples(fields)
if isinstance_or_issubclass(dtype, dtypes.Array):
inner = narwhals_to_native_dtype(dtype.inner, version)
return ibis_dtypes.Array(value_type=inner, length=dtype.size)
if isinstance_or_issubclass(dtype, dtypes.Binary):
return ibis_dtypes.Binary()
if isinstance_or_issubclass(dtype, dtypes.Enum):
# Ibis does not support: https://github.com/ibis-project/ibis/issues/10991
msg = "Enum not supported by Ibis"
raise NotImplementedError(msg)
msg = f"Unknown dtype: {dtype}" # pragma: no cover
raise AssertionError(msg)
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