mod.rs

pub(crate) mod any_value;
pub(crate) mod chunked_array;
use std::fmt::{Display, Formatter};
use std::hash::{Hash, Hasher};

#[cfg(feature = "object")]
use polars::chunked_array::object::PolarsObjectSafe;
use polars::frame::row::Row;
use polars::frame::NullStrategy;
#[cfg(feature = "avro")]
use polars::io::avro::AvroCompression;
#[cfg(feature = "cloud")]
use polars::io::cloud::CloudOptions;
use polars::series::ops::NullBehavior;
use polars_core::utils::arrow::array::Array;
use polars_core::utils::arrow::types::NativeType;
use polars_core::utils::materialize_dyn_int;
use polars_lazy::prelude::*;
use polars_utils::total_ord::{TotalEq, TotalHash};
use pyo3::basic::CompareOp;
use pyo3::exceptions::{PyTypeError, PyValueError};
use pyo3::intern;
use pyo3::prelude::*;
use pyo3::pybacked::PyBackedStr;
use pyo3::types::{PyDict, PyList, PySequence};
use smartstring::alias::String as SmartString;

use crate::error::PyPolarsErr;
#[cfg(feature = "object")]
use crate::object::OBJECT_NAME;
use crate::prelude::*;
use crate::py_modules::{POLARS, SERIES};
use crate::series::PySeries;
use crate::{PyDataFrame, PyLazyFrame};

pub(crate) fn slice_to_wrapped<T>(slice: &[T]) -> &[Wrap<T>] {
    // SAFETY: Wrap is transparent.
    unsafe { std::mem::transmute(slice) }
}

pub(crate) fn vec_extract_wrapped<T>(buf: Vec<Wrap<T>>) -> Vec<T> {
    // SAFETY: Wrap is transparent.
    unsafe { std::mem::transmute(buf) }
}

#[repr(transparent)]
pub struct Wrap<T>(pub T);

impl<T> Clone for Wrap<T>
where
    T: Clone,
{
    fn clone(&self) -> Self {
        Wrap(self.0.clone())
    }
}
impl<T> From<T> for Wrap<T> {
    fn from(t: T) -> Self {
        Wrap(t)
    }
}

// extract a Rust DataFrame from a python DataFrame, that is DataFrame<PyDataFrame<RustDataFrame>>
pub(crate) fn get_df(obj: &PyAny) -> PyResult<DataFrame> {
    let pydf = obj.getattr(intern!(obj.py(), "_df"))?;
    Ok(pydf.extract::<PyDataFrame>()?.df)
}

pub(crate) fn get_lf(obj: &PyAny) -> PyResult<LazyFrame> {
    let pydf = obj.getattr(intern!(obj.py(), "_ldf"))?;
    Ok(pydf.extract::<PyLazyFrame>()?.ldf)
}

pub(crate) fn get_series(obj: &Bound<'_, PyAny>) -> PyResult<Series> {
    let pydf = obj.getattr(intern!(obj.py(), "_s"))?;
    Ok(pydf.extract::<PySeries>()?.series)
}

pub(crate) fn to_series(py: Python, s: PySeries) -> PyObject {
    let series = SERIES.bind(py);
    let constructor = series
        .getattr(intern!(series.py(), "_from_pyseries"))
        .unwrap();
    constructor.call1((s,)).unwrap().into_py(py)
}

#[cfg(feature = "csv")]
impl<'a> FromPyObject<'a> for Wrap<NullValues> {
    fn extract_bound(ob: &Bound<'a, PyAny>) -> PyResult<Self> {
        if let Ok(s) = ob.extract::<String>() {
            Ok(Wrap(NullValues::AllColumnsSingle(s)))
        } else if let Ok(s) = ob.extract::<Vec<String>>() {
            Ok(Wrap(NullValues::AllColumns(s)))
        } else if let Ok(s) = ob.extract::<Vec<(String, String)>>() {
            Ok(Wrap(NullValues::Named(s)))
        } else {
            Err(
                PyPolarsErr::Other("could not extract value from null_values argument".into())
                    .into(),
            )
        }
    }
}

fn struct_dict<'a>(
    py: Python,
    vals: impl Iterator<Item = AnyValue<'a>>,
    flds: &[Field],
) -> PyObject {
    let dict = PyDict::new_bound(py);
    for (fld, val) in flds.iter().zip(vals) {
        dict.set_item(fld.name().as_str(), Wrap(val)).unwrap()
    }
    dict.into_py(py)
}

// accept u128 array to ensure alignment is correct
fn decimal_to_digits(v: i128, buf: &mut [u128; 3]) -> usize {
    const ZEROS: i128 = 0x3030_3030_3030_3030_3030_3030_3030_3030;
    // SAFETY: transmute is safe as there are 48 bytes in 3 128bit ints
    // and the minimal alignment of u8 fits u16
    let buf = unsafe { std::mem::transmute::<&mut [u128; 3], &mut [u8; 48]>(buf) };
    let mut buffer = itoa::Buffer::new();
    let value = buffer.format(v);
    let len = value.len();
    for (dst, src) in buf.iter_mut().zip(value.as_bytes().iter()) {
        *dst = *src
    }

    let ptr = buf.as_mut_ptr() as *mut i128;
    unsafe {
        // this is safe because we know that the buffer is exactly 48 bytes long
        *ptr -= ZEROS;
        *ptr.add(1) -= ZEROS;
        *ptr.add(2) -= ZEROS;
    }
    len
}

impl ToPyObject for Wrap<DataType> {
    fn to_object(&self, py: Python) -> PyObject {
        let pl = POLARS.bind(py);

        match &self.0 {
            DataType::Int8 => {
                let class = pl.getattr(intern!(py, "Int8")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Int16 => {
                let class = pl.getattr(intern!(py, "Int16")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Int32 => {
                let class = pl.getattr(intern!(py, "Int32")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Int64 => {
                let class = pl.getattr(intern!(py, "Int64")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::UInt8 => {
                let class = pl.getattr(intern!(py, "UInt8")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::UInt16 => {
                let class = pl.getattr(intern!(py, "UInt16")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::UInt32 => {
                let class = pl.getattr(intern!(py, "UInt32")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::UInt64 => {
                let class = pl.getattr(intern!(py, "UInt64")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Float32 => {
                let class = pl.getattr(intern!(py, "Float32")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Float64 | DataType::Unknown(UnknownKind::Float) => {
                let class = pl.getattr(intern!(py, "Float64")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Decimal(precision, scale) => {
                let class = pl.getattr(intern!(py, "Decimal")).unwrap();
                let args = (*precision, *scale);
                class.call1(args).unwrap().into()
            },
            DataType::Boolean => {
                let class = pl.getattr(intern!(py, "Boolean")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::String | DataType::Unknown(UnknownKind::Str) => {
                let class = pl.getattr(intern!(py, "String")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Binary => {
                let class = pl.getattr(intern!(py, "Binary")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Array(inner, size) => {
                let class = pl.getattr(intern!(py, "Array")).unwrap();
                let inner = Wrap(*inner.clone()).to_object(py);
                let args = (inner, *size);
                class.call1(args).unwrap().into()
            },
            DataType::List(inner) => {
                let class = pl.getattr(intern!(py, "List")).unwrap();
                let inner = Wrap(*inner.clone()).to_object(py);
                class.call1((inner,)).unwrap().into()
            },
            DataType::Date => {
                let class = pl.getattr(intern!(py, "Date")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Datetime(tu, tz) => {
                let datetime_class = pl.getattr(intern!(py, "Datetime")).unwrap();
                datetime_class
                    .call1((tu.to_ascii(), tz.clone()))
                    .unwrap()
                    .into()
            },
            DataType::Duration(tu) => {
                let duration_class = pl.getattr(intern!(py, "Duration")).unwrap();
                duration_class.call1((tu.to_ascii(),)).unwrap().into()
            },
            #[cfg(feature = "object")]
            DataType::Object(_, _) => {
                let class = pl.getattr(intern!(py, "Object")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Categorical(_, ordering) => {
                let class = pl.getattr(intern!(py, "Categorical")).unwrap();
                class
                    .call1((Wrap(*ordering).to_object(py),))
                    .unwrap()
                    .into()
            },
            DataType::Enum(rev_map, _) => {
                // we should always have an initialized rev_map coming from rust
                let categories = rev_map.as_ref().unwrap().get_categories();
                let class = pl.getattr(intern!(py, "Enum")).unwrap();
                let s = Series::from_arrow("category", categories.to_boxed()).unwrap();
                let series = to_series(py, s.into());
                return class.call1((series,)).unwrap().into();
            },
            DataType::Time => pl.getattr(intern!(py, "Time")).unwrap().into(),
            DataType::Struct(fields) => {
                let field_class = pl.getattr(intern!(py, "Field")).unwrap();
                let iter = fields.iter().map(|fld| {
                    let name = fld.name().as_str();
                    let dtype = Wrap(fld.data_type().clone()).to_object(py);
                    field_class.call1((name, dtype)).unwrap()
                });
                let fields = PyList::new_bound(py, iter);
                let struct_class = pl.getattr(intern!(py, "Struct")).unwrap();
                struct_class.call1((fields,)).unwrap().into()
            },
            DataType::Null => {
                let class = pl.getattr(intern!(py, "Null")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::Unknown(UnknownKind::Int(v)) => {
                Wrap(materialize_dyn_int(*v).dtype()).to_object(py)
            },
            DataType::Unknown(_) => {
                let class = pl.getattr(intern!(py, "Unknown")).unwrap();
                class.call0().unwrap().into()
            },
            DataType::BinaryOffset => {
                unimplemented!()
            },
        }
    }
}

impl FromPyObject<'_> for Wrap<Field> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let py = ob.py();
        let name = ob.getattr(intern!(py, "name"))?.str()?.to_str()?;
        let dtype = ob
            .getattr(intern!(py, "dtype"))?
            .extract::<Wrap<DataType>>()?;
        Ok(Wrap(Field::new(name, dtype.0)))
    }
}

impl FromPyObject<'_> for Wrap<DataType> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let py = ob.py();
        let type_name = ob.get_type().qualname()?;

        let dtype = match &*type_name {
            "DataTypeClass" => {
                // just the class, not an object
                let name = ob.getattr(intern!(py, "__name__"))?.str()?.to_str()?;
                match name {
                    "UInt8" => DataType::UInt8,
                    "UInt16" => DataType::UInt16,
                    "UInt32" => DataType::UInt32,
                    "UInt64" => DataType::UInt64,
                    "Int8" => DataType::Int8,
                    "Int16" => DataType::Int16,
                    "Int32" => DataType::Int32,
                    "Int64" => DataType::Int64,
                    "String" => DataType::String,
                    "Binary" => DataType::Binary,
                    "Boolean" => DataType::Boolean,
                    "Categorical" => DataType::Categorical(None, Default::default()),
                    "Enum" => DataType::Enum(None, Default::default()),
                    "Date" => DataType::Date,
                    "Datetime" => DataType::Datetime(TimeUnit::Microseconds, None),
                    "Time" => DataType::Time,
                    "Duration" => DataType::Duration(TimeUnit::Microseconds),
                    "Decimal" => DataType::Decimal(None, None), // "none" scale => "infer"
                    "Float32" => DataType::Float32,
                    "Float64" => DataType::Float64,
                    #[cfg(feature = "object")]
                    "Object" => DataType::Object(OBJECT_NAME, None),
                    "Array" => DataType::Array(Box::new(DataType::Null), 0),
                    "List" => DataType::List(Box::new(DataType::Null)),
                    "Struct" => DataType::Struct(vec![]),
                    "Null" => DataType::Null,
                    "Unknown" => DataType::Unknown(Default::default()),
                    dt => {
                        return Err(PyTypeError::new_err(format!(
                            "'{dt}' is not a Polars data type",
                        )))
                    },
                }
            },
            "Int8" => DataType::Int8,
            "Int16" => DataType::Int16,
            "Int32" => DataType::Int32,
            "Int64" => DataType::Int64,
            "UInt8" => DataType::UInt8,
            "UInt16" => DataType::UInt16,
            "UInt32" => DataType::UInt32,
            "UInt64" => DataType::UInt64,
            "String" => DataType::String,
            "Binary" => DataType::Binary,
            "Boolean" => DataType::Boolean,
            "Categorical" => {
                let ordering = ob.getattr(intern!(py, "ordering")).unwrap();
                let ordering = ordering.extract::<Wrap<CategoricalOrdering>>()?.0;
                DataType::Categorical(None, ordering)
            },
            "Enum" => {
                let categories = ob.getattr(intern!(py, "categories")).unwrap();
                let s = get_series(&categories.as_borrowed())?;
                let ca = s.str().map_err(PyPolarsErr::from)?;
                let categories = ca.downcast_iter().next().unwrap().clone();
                create_enum_data_type(categories)
            },
            "Date" => DataType::Date,
            "Time" => DataType::Time,
            "Float32" => DataType::Float32,
            "Float64" => DataType::Float64,
            "Null" => DataType::Null,
            "Unknown" => DataType::Unknown(Default::default()),
            "Duration" => {
                let time_unit = ob.getattr(intern!(py, "time_unit")).unwrap();
                let time_unit = time_unit.extract::<Wrap<TimeUnit>>()?.0;
                DataType::Duration(time_unit)
            },
            "Datetime" => {
                let time_unit = ob.getattr(intern!(py, "time_unit")).unwrap();
                let time_unit = time_unit.extract::<Wrap<TimeUnit>>()?.0;
                let time_zone = ob.getattr(intern!(py, "time_zone")).unwrap();
                let time_zone = time_zone.extract()?;
                DataType::Datetime(time_unit, time_zone)
            },
            "Decimal" => {
                let precision = ob.getattr(intern!(py, "precision"))?.extract()?;
                let scale = ob.getattr(intern!(py, "scale"))?.extract()?;
                DataType::Decimal(precision, Some(scale))
            },
            "List" => {
                let inner = ob.getattr(intern!(py, "inner")).unwrap();
                let inner = inner.extract::<Wrap<DataType>>()?;
                DataType::List(Box::new(inner.0))
            },
            "Array" => {
                let inner = ob.getattr(intern!(py, "inner")).unwrap();
                let width = ob.getattr(intern!(py, "width")).unwrap();
                let inner = inner.extract::<Wrap<DataType>>()?;
                let width = width.extract::<usize>()?;
                DataType::Array(Box::new(inner.0), width)
            },
            "Struct" => {
                let fields = ob.getattr(intern!(py, "fields"))?;
                let fields = fields
                    .extract::<Vec<Wrap<Field>>>()?
                    .into_iter()
                    .map(|f| f.0)
                    .collect::<Vec<Field>>();
                DataType::Struct(fields)
            },
            dt => {
                return Err(PyTypeError::new_err(format!(
                    "'{dt}' is not a Polars data type",
                )))
            },
        };
        Ok(Wrap(dtype))
    }
}

impl ToPyObject for Wrap<CategoricalOrdering> {
    fn to_object(&self, py: Python<'_>) -> PyObject {
        let ordering = match self.0 {
            CategoricalOrdering::Physical => "physical",
            CategoricalOrdering::Lexical => "lexical",
        };
        ordering.into_py(py)
    }
}

impl ToPyObject for Wrap<TimeUnit> {
    fn to_object(&self, py: Python) -> PyObject {
        let time_unit = match self.0 {
            TimeUnit::Nanoseconds => "ns",
            TimeUnit::Microseconds => "us",
            TimeUnit::Milliseconds => "ms",
        };
        time_unit.into_py(py)
    }
}

impl<'s> FromPyObject<'s> for Wrap<Row<'s>> {
    fn extract(ob: &'s PyAny) -> PyResult<Self> {
        let vals = ob.extract::<Vec<Wrap<AnyValue<'s>>>>()?;
        let vals = vec_extract_wrapped(vals);
        Ok(Wrap(Row(vals)))
    }
}

impl FromPyObject<'_> for Wrap<Schema> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let dict = ob.extract::<&PyDict>()?;

        Ok(Wrap(
            dict.iter()
                .map(|(key, val)| {
                    let key = key.extract::<PyBackedStr>()?;
                    let val = val.extract::<Wrap<DataType>>()?;

                    Ok(Field::new(&key, val.0))
                })
                .collect::<PyResult<Schema>>()?,
        ))
    }
}

impl IntoPy<PyObject> for Wrap<&Schema> {
    fn into_py(self, py: Python<'_>) -> PyObject {
        let dict = PyDict::new(py);
        for (k, v) in self.0.iter() {
            dict.set_item(k.as_str(), Wrap(v.clone())).unwrap();
        }
        dict.into_py(py)
    }
}

#[derive(Clone, Debug)]
#[repr(transparent)]
pub struct ObjectValue {
    pub inner: PyObject,
}

impl Hash for ObjectValue {
    fn hash<H: Hasher>(&self, state: &mut H) {
        let h = Python::with_gil(|py| self.inner.bind(py).hash().expect("should be hashable"));
        state.write_isize(h)
    }
}

impl Eq for ObjectValue {}

impl PartialEq for ObjectValue {
    fn eq(&self, other: &Self) -> bool {
        Python::with_gil(|py| {
            match self
                .inner
                .bind(py)
                .rich_compare(other.inner.bind(py), CompareOp::Eq)
            {
                Ok(result) => result.is_truthy().unwrap(),
                Err(_) => false,
            }
        })
    }
}

impl TotalEq for ObjectValue {
    fn tot_eq(&self, other: &Self) -> bool {
        self == other
    }
}

impl TotalHash for ObjectValue {
    fn tot_hash<H>(&self, state: &mut H)
    where
        H: Hasher,
    {
        self.hash(state);
    }
}

impl Display for ObjectValue {
    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
        write!(f, "{}", self.inner)
    }
}

#[cfg(feature = "object")]
impl PolarsObject for ObjectValue {
    fn type_name() -> &'static str {
        "object"
    }
}

impl From<PyObject> for ObjectValue {
    fn from(p: PyObject) -> Self {
        Self { inner: p }
    }
}

impl<'a> FromPyObject<'a> for ObjectValue {
    fn extract(ob: &'a PyAny) -> PyResult<Self> {
        Python::with_gil(|py| {
            Ok(ObjectValue {
                inner: ob.to_object(py),
            })
        })
    }
}

/// # Safety
///
/// The caller is responsible for checking that val is Object otherwise UB
#[cfg(feature = "object")]
impl From<&dyn PolarsObjectSafe> for &ObjectValue {
    fn from(val: &dyn PolarsObjectSafe) -> Self {
        unsafe { &*(val as *const dyn PolarsObjectSafe as *const ObjectValue) }
    }
}

impl ToPyObject for ObjectValue {
    fn to_object(&self, _py: Python) -> PyObject {
        self.inner.clone()
    }
}

impl Default for ObjectValue {
    fn default() -> Self {
        Python::with_gil(|py| ObjectValue { inner: py.None() })
    }
}

impl<'a, T: NativeType + FromPyObject<'a>> FromPyObject<'a> for Wrap<Vec<T>> {
    fn extract(obj: &'a PyAny) -> PyResult<Self> {
        let seq = obj.downcast::<PySequence>()?;
        let mut v = Vec::with_capacity(seq.len().unwrap_or(0));
        for item in seq.iter()? {
            v.push(item?.extract::<T>()?);
        }
        Ok(Wrap(v))
    }
}

#[cfg(feature = "asof_join")]
impl FromPyObject<'_> for Wrap<AsofStrategy> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*(ob.extract::<PyBackedStr>()?) {
            "backward" => AsofStrategy::Backward,
            "forward" => AsofStrategy::Forward,
            "nearest" => AsofStrategy::Nearest,
            v => {
                return Err(PyValueError::new_err(format!(
                    "asof `strategy` must be one of {{'backward', 'forward', 'nearest'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<InterpolationMethod> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*(ob.extract::<PyBackedStr>()?) {
            "linear" => InterpolationMethod::Linear,
            "nearest" => InterpolationMethod::Nearest,
            v => {
                return Err(PyValueError::new_err(format!(
                    "interpolation `method` must be one of {{'linear', 'nearest'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "avro")]
impl FromPyObject<'_> for Wrap<Option<AvroCompression>> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "uncompressed" => None,
            "snappy" => Some(AvroCompression::Snappy),
            "deflate" => Some(AvroCompression::Deflate),
            v => {
                return Err(PyValueError::new_err(format!(
                "avro `compression` must be one of {{'uncompressed', 'snappy', 'deflate'}}, got {v}",
            )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<CategoricalOrdering> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "physical" => CategoricalOrdering::Physical,
            "lexical" => CategoricalOrdering::Lexical,
            v => {
                return Err(PyValueError::new_err(format!(
                    "categorical `ordering` must be one of {{'physical', 'lexical'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<StartBy> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "window" => StartBy::WindowBound,
            "datapoint" => StartBy::DataPoint,
            "monday" => StartBy::Monday,
            "tuesday" => StartBy::Tuesday,
            "wednesday" => StartBy::Wednesday,
            "thursday" => StartBy::Thursday,
            "friday" => StartBy::Friday,
            "saturday" => StartBy::Saturday,
            "sunday" => StartBy::Sunday,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`start_by` must be one of {{'window', 'datapoint', 'monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday', 'sunday'}}, got {v}",
                )))
            }
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<ClosedWindow> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "left" => ClosedWindow::Left,
            "right" => ClosedWindow::Right,
            "both" => ClosedWindow::Both,
            "none" => ClosedWindow::None,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`closed` must be one of {{'left', 'right', 'both', 'none'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "csv")]
impl FromPyObject<'_> for Wrap<CsvEncoding> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "utf8" => CsvEncoding::Utf8,
            "utf8-lossy" => CsvEncoding::LossyUtf8,
            v => {
                return Err(PyValueError::new_err(format!(
                    "csv `encoding` must be one of {{'utf8', 'utf8-lossy'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "ipc")]
impl FromPyObject<'_> for Wrap<Option<IpcCompression>> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "uncompressed" => None,
            "lz4" => Some(IpcCompression::LZ4),
            "zstd" => Some(IpcCompression::ZSTD),
            v => {
                return Err(PyValueError::new_err(format!(
                    "ipc `compression` must be one of {{'uncompressed', 'lz4', 'zstd'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<JoinType> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "inner" => JoinType::Inner,
            "left" => JoinType::Left,
            "outer" => JoinType::Outer,
            "outer_coalesce" => {
                // TODO! deprecate
                JoinType::Outer
            },
            "semi" => JoinType::Semi,
            "anti" => JoinType::Anti,
            #[cfg(feature = "cross_join")]
            "cross" => JoinType::Cross,
            v => {
                return Err(PyValueError::new_err(format!(
                "`how` must be one of {{'inner', 'left', 'outer', 'semi', 'anti', 'cross'}}, got {v}",
            )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<Label> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "left" => Label::Left,
            "right" => Label::Right,
            "datapoint" => Label::DataPoint,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`label` must be one of {{'left', 'right', 'datapoint'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<ListToStructWidthStrategy> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "first_non_null" => ListToStructWidthStrategy::FirstNonNull,
            "max_width" => ListToStructWidthStrategy::MaxWidth,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`n_field_strategy` must be one of {{'first_non_null', 'max_width'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<NonExistent> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "null" => NonExistent::Null,
            "raise" => NonExistent::Raise,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`non_existent` must be one of {{'null', 'raise'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<NullBehavior> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "drop" => NullBehavior::Drop,
            "ignore" => NullBehavior::Ignore,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`null_behavior` must be one of {{'drop', 'ignore'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<NullStrategy> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "ignore" => NullStrategy::Ignore,
            "propagate" => NullStrategy::Propagate,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`null_strategy` must be one of {{'ignore', 'propagate'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "parquet")]
impl FromPyObject<'_> for Wrap<ParallelStrategy> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "auto" => ParallelStrategy::Auto,
            "columns" => ParallelStrategy::Columns,
            "row_groups" => ParallelStrategy::RowGroups,
            "none" => ParallelStrategy::None,
            v => {
                return Err(PyValueError::new_err(format!(
                "`parallel` must be one of {{'auto', 'columns', 'row_groups', 'none'}}, got {v}",
            )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<IndexOrder> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "fortran" => IndexOrder::Fortran,
            "c" => IndexOrder::C,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`order` must be one of {{'fortran', 'c'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<QuantileInterpolOptions> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "lower" => QuantileInterpolOptions::Lower,
            "higher" => QuantileInterpolOptions::Higher,
            "nearest" => QuantileInterpolOptions::Nearest,
            "linear" => QuantileInterpolOptions::Linear,
            "midpoint" => QuantileInterpolOptions::Midpoint,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`interpolation` must be one of {{'lower', 'higher', 'nearest', 'linear', 'midpoint'}}, got {v}",
                )))
            }
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<RankMethod> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "min" => RankMethod::Min,
            "max" => RankMethod::Max,
            "average" => RankMethod::Average,
            "dense" => RankMethod::Dense,
            "ordinal" => RankMethod::Ordinal,
            "random" => RankMethod::Random,
            v => {
                return Err(PyValueError::new_err(format!(
                    "rank `method` must be one of {{'min', 'max', 'average', 'dense', 'ordinal', 'random'}}, got {v}",
                )))
            }
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<Roll> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "raise" => Roll::Raise,
            "forward" => Roll::Forward,
            "backward" => Roll::Backward,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`roll` must be one of {{'raise', 'forward', 'backward'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<TimeUnit> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "ns" => TimeUnit::Nanoseconds,
            "us" => TimeUnit::Microseconds,
            "ms" => TimeUnit::Milliseconds,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`time_unit` must be one of {{'ns', 'us', 'ms'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<UniqueKeepStrategy> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "first" => UniqueKeepStrategy::First,
            "last" => UniqueKeepStrategy::Last,
            "none" => UniqueKeepStrategy::None,
            "any" => UniqueKeepStrategy::Any,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`keep` must be one of {{'first', 'last', 'any', 'none'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "ipc")]
impl FromPyObject<'_> for Wrap<IpcCompression> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "zstd" => IpcCompression::ZSTD,
            "lz4" => IpcCompression::LZ4,
            v => {
                return Err(PyValueError::new_err(format!(
                    "ipc `compression` must be one of {{'zstd', 'lz4'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "search_sorted")]
impl FromPyObject<'_> for Wrap<SearchSortedSide> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "any" => SearchSortedSide::Any,
            "left" => SearchSortedSide::Left,
            "right" => SearchSortedSide::Right,
            v => {
                return Err(PyValueError::new_err(format!(
                    "sorted `side` must be one of {{'any', 'left', 'right'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<ClosedInterval> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "both" => ClosedInterval::Both,
            "left" => ClosedInterval::Left,
            "right" => ClosedInterval::Right,
            "none" => ClosedInterval::None,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`closed` must be one of {{'both', 'left', 'right', 'none'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<WindowMapping> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "group_to_rows" => WindowMapping::GroupsToRows,
            "join" => WindowMapping::Join,
            "explode" => WindowMapping::Explode,
            v => {
                return Err(PyValueError::new_err(format!(
                "`mapping_strategy` must be one of {{'group_to_rows', 'join', 'explode'}}, got {v}",
            )))
            },
        };
        Ok(Wrap(parsed))
    }
}

impl FromPyObject<'_> for Wrap<JoinValidation> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "1:1" => JoinValidation::OneToOne,
            "1:m" => JoinValidation::OneToMany,
            "m:m" => JoinValidation::ManyToMany,
            "m:1" => JoinValidation::ManyToOne,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`validate` must be one of {{'m:m', 'm:1', '1:m', '1:1'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "csv")]
impl FromPyObject<'_> for Wrap<QuoteStyle> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "always" => QuoteStyle::Always,
            "necessary" => QuoteStyle::Necessary,
            "non_numeric" => QuoteStyle::NonNumeric,
            "never" => QuoteStyle::Never,
            v => {
                return Err(PyValueError::new_err(format!(
                    "`quote_style` must be one of {{'always', 'necessary', 'non_numeric', 'never'}}, got {v}",
                )))
            },
        };
        Ok(Wrap(parsed))
    }
}

#[cfg(feature = "cloud")]
pub(crate) fn parse_cloud_options(uri: &str, kv: Vec<(String, String)>) -> PyResult<CloudOptions> {
    let out = CloudOptions::from_untyped_config(uri, kv).map_err(PyPolarsErr::from)?;
    Ok(out)
}

#[cfg(feature = "list_sets")]
impl FromPyObject<'_> for Wrap<SetOperation> {
    fn extract(ob: &PyAny) -> PyResult<Self> {
        let parsed = match &*ob.extract::<PyBackedStr>()? {
            "union" => SetOperation::Union,
            "difference" => SetOperation::Difference,
            "intersection" => SetOperation::Intersection,
            "symmetric_difference" => SetOperation::SymmetricDifference,
            v => {
                return Err(PyValueError::new_err(format!(
                    "set operation must be one of {{'union', 'difference', 'intersection', 'symmetric_difference'}}, got {v}",
                )))
            }
        };
        Ok(Wrap(parsed))
    }
}

pub(crate) fn parse_fill_null_strategy(
    strategy: &str,
    limit: FillNullLimit,
) -> PyResult<FillNullStrategy> {
    let parsed = match strategy {
        "forward" => FillNullStrategy::Forward(limit),
        "backward" => FillNullStrategy::Backward(limit),
        "min" => FillNullStrategy::Min,
        "max" => FillNullStrategy::Max,
        "mean" => FillNullStrategy::Mean,
        "zero" => FillNullStrategy::Zero,
        "one" => FillNullStrategy::One,
        e => {
            return Err(PyValueError::new_err(format!(
                "`strategy` must be one of {{'forward', 'backward', 'min', 'max', 'mean', 'zero', 'one'}}, got {e}",
            )))
        }
    };
    Ok(parsed)
}

#[cfg(feature = "parquet")]
pub(crate) fn parse_parquet_compression(
    compression: &str,
    compression_level: Option<i32>,
) -> PyResult<ParquetCompression> {
    let parsed = match compression {
        "uncompressed" => ParquetCompression::Uncompressed,
        "snappy" => ParquetCompression::Snappy,
        "gzip" => ParquetCompression::Gzip(
            compression_level
                .map(|lvl| {
                    GzipLevel::try_new(lvl as u8)
                        .map_err(|e| PyValueError::new_err(format!("{e:?}")))
                })
                .transpose()?,
        ),
        "lzo" => ParquetCompression::Lzo,
        "brotli" => ParquetCompression::Brotli(
            compression_level
                .map(|lvl| {
                    BrotliLevel::try_new(lvl as u32)
                        .map_err(|e| PyValueError::new_err(format!("{e:?}")))
                })
                .transpose()?,
        ),
        "lz4" => ParquetCompression::Lz4Raw,
        "zstd" => ParquetCompression::Zstd(
            compression_level
                .map(|lvl| {
                    ZstdLevel::try_new(lvl)
                        .map_err(|e| PyValueError::new_err(format!("{e:?}")))
                })
                .transpose()?,
        ),
        e => {
            return Err(PyValueError::new_err(format!(
                "parquet `compression` must be one of {{'uncompressed', 'snappy', 'gzip', 'lzo', 'brotli', 'lz4', 'zstd'}}, got {e}",
            )))
        }
    };
    Ok(parsed)
}

pub(crate) fn strings_to_smartstrings<I, S>(container: I) -> Vec<SmartString>
where
    I: IntoIterator<Item = S>,
    S: AsRef<str>,
{
    container.into_iter().map(|s| s.as_ref().into()).collect()
}