proof-of-sql 0.129.1

//! This module provides `From` and `TryFrom` implementations to go between arrow and owned types
//! The mapping is as follows:
//! `OwnedType` <-> `Array/ArrayRef`
//! `OwnedTable` <-> `RecordBatch`
//! `Boolean` <-> `Boolean`
//! `BigInt` <-> `Int64`
//! `VarChar` <-> `Utf8/String`
//! `Int128` <-> `Decimal128(38,0)`
//! `Decimal75` <-> `S`
//!
//! Note: this converts `Int128` values to `Decimal128(38,0)`, which are backed by `i128`.
//! This is because there is no `Int128` type in Arrow.
//! This does not check that the values are less than 39 digits.
//! However, the actual arrow backing `i128` is the correct value.
use super::scalar_and_i256_conversions::{convert_i256_to_scalar, convert_scalar_to_i256};
use crate::base::{
    database::{OwnedColumn, OwnedTable, OwnedTableError},
    map::IndexMap,
    math::decimal::Precision,
    posql_time::{PoSQLTimeUnit, PoSQLTimeZone, PoSQLTimestampError},
    scalar::Scalar,
};
use alloc::sync::Arc;
use arrow::{
    array::{
        ArrayRef, BooleanArray, Decimal128Array, Decimal256Array, Int16Array, Int32Array,
        Int64Array, Int8Array, LargeBinaryArray, StringArray, TimestampMicrosecondArray,
        TimestampMillisecondArray, TimestampNanosecondArray, TimestampSecondArray, UInt8Array,
    },
    datatypes::{i256, DataType, Schema, SchemaRef, TimeUnit as ArrowTimeUnit},
    error::ArrowError,
    record_batch::RecordBatch,
};
use snafu::Snafu;
use sqlparser::ast::Ident;

#[derive(Snafu, Debug)]
#[non_exhaustive]
/// Errors caused by conversions between Arrow and owned types.
pub enum OwnedArrowConversionError {
    /// This error occurs when trying to convert from an unsupported arrow type.
    #[snafu(display(
        "unsupported type: attempted conversion from ArrayRef of type {datatype} to OwnedColumn"
    ))]
    UnsupportedType {
        /// The unsupported datatype
        datatype: DataType,
    },
    /// This error occurs when trying to convert from a record batch with duplicate idents(e.g. `"a"` and `"A"`).
    #[snafu(display("conversion resulted in duplicate idents"))]
    DuplicateIdents,
    /// This error occurs when creating an owned table fails, which should only occur when there are zero columns.
    #[snafu(transparent)]
    InvalidTable {
        /// The underlying source error
        source: OwnedTableError,
    },
    /// This error occurs when trying to convert from an Arrow array with nulls.
    #[snafu(display("null values are not supported in OwnedColumn yet"))]
    NullNotSupportedYet,
    /// Using `TimeError` to handle all time-related errors
    #[snafu(transparent)]
    TimestampConversionError {
        /// The underlying source error
        source: PoSQLTimestampError,
    },
}

/// # Panics
///
/// Will panic if setting precision and scale fails when converting `OwnedColumn::Int128`.
/// Will panic if setting precision and scale fails when converting `OwnedColumn::Decimal75`.
/// Will panic if trying to convert `OwnedColumn::Scalar`, as this conversion is not implemented
impl<S: Scalar> From<OwnedColumn<S>> for ArrayRef {
    fn from(value: OwnedColumn<S>) -> Self {
        match value {
            OwnedColumn::Boolean(col) => Arc::new(BooleanArray::from(col)),
            OwnedColumn::Uint8(col) => Arc::new(UInt8Array::from(col)),
            OwnedColumn::TinyInt(col) => Arc::new(Int8Array::from(col)),
            OwnedColumn::SmallInt(col) => Arc::new(Int16Array::from(col)),
            OwnedColumn::Int(col) => Arc::new(Int32Array::from(col)),
            OwnedColumn::BigInt(col) => Arc::new(Int64Array::from(col)),
            OwnedColumn::Int128(col) => Arc::new(
                Decimal128Array::from(col)
                    .with_precision_and_scale(38, 0)
                    .unwrap(),
            ),
            OwnedColumn::Decimal75(precision, scale, col) => {
                let converted_col: Vec<i256> = col.iter().map(convert_scalar_to_i256).collect();

                Arc::new(
                    Decimal256Array::from(converted_col)
                        .with_precision_and_scale(precision.value(), scale)
                        .unwrap(),
                )
            }
            OwnedColumn::Scalar(_) => unimplemented!("Cannot convert Scalar type to arrow type"),
            OwnedColumn::VarChar(col) => Arc::new(StringArray::from(col)),
            OwnedColumn::VarBinary(col) => Arc::new(LargeBinaryArray::from_iter_values(
                col.iter().map(Vec::as_slice),
            )),
            OwnedColumn::TimestampTZ(time_unit, _, col) => match time_unit {
                PoSQLTimeUnit::Second => Arc::new(TimestampSecondArray::from(col)),
                PoSQLTimeUnit::Millisecond => Arc::new(TimestampMillisecondArray::from(col)),
                PoSQLTimeUnit::Microsecond => Arc::new(TimestampMicrosecondArray::from(col)),
                PoSQLTimeUnit::Nanosecond => Arc::new(TimestampNanosecondArray::from(col)),
            },
        }
    }
}

impl<S: Scalar> TryFrom<OwnedTable<S>> for RecordBatch {
    type Error = ArrowError;
    fn try_from(value: OwnedTable<S>) -> Result<Self, Self::Error> {
        if value.is_empty() {
            Ok(RecordBatch::new_empty(SchemaRef::new(Schema::empty())))
        } else {
            RecordBatch::try_from_iter(
                value
                    .into_inner()
                    .into_iter()
                    .map(|(identifier, owned_column)| {
                        (identifier.value, ArrayRef::from(owned_column))
                    }),
            )
        }
    }
}

impl<S: Scalar> TryFrom<ArrayRef> for OwnedColumn<S> {
    type Error = OwnedArrowConversionError;
    fn try_from(value: ArrayRef) -> Result<Self, Self::Error> {
        Self::try_from(&value)
    }
}
impl<S: Scalar> TryFrom<&ArrayRef> for OwnedColumn<S> {
    type Error = OwnedArrowConversionError;

    #[expect(clippy::too_many_lines)]
    /// # Panics
    ///
    /// Will panic if downcasting fails for the following types:
    /// - `BooleanArray` when converting from `DataType::Boolean`.
    /// - `Int16Array` when converting from `DataType::Int16`.
    /// - `Int32Array` when converting from `DataType::Int32`.
    /// - `Int64Array` when converting from `DataType::Int64`.
    /// - `Decimal128Array` when converting from `DataType::Decimal128(38, 0)`.
    /// - `Decimal256Array` when converting from `DataType::Decimal256` if precision is less than or equal to 75.
    /// - `StringArray` when converting from `DataType::Utf8`.
    fn try_from(value: &ArrayRef) -> Result<Self, Self::Error> {
        match &value.data_type() {
            // Arrow uses a bit-packed representation for booleans.
            // Hence we need to unpack the bits to get the actual boolean values.
            DataType::Boolean => Ok(Self::Boolean(
                value
                    .as_any()
                    .downcast_ref::<BooleanArray>()
                    .unwrap()
                    .iter()
                    .collect::<Option<Vec<bool>>>()
                    .ok_or(OwnedArrowConversionError::NullNotSupportedYet)?,
            )),
            DataType::UInt8 => Ok(Self::Uint8(
                value
                    .as_any()
                    .downcast_ref::<UInt8Array>()
                    .unwrap()
                    .values()
                    .to_vec(),
            )),
            DataType::Int8 => Ok(Self::TinyInt(
                value
                    .as_any()
                    .downcast_ref::<Int8Array>()
                    .unwrap()
                    .values()
                    .to_vec(),
            )),
            DataType::Int16 => Ok(Self::SmallInt(
                value
                    .as_any()
                    .downcast_ref::<Int16Array>()
                    .unwrap()
                    .values()
                    .to_vec(),
            )),
            DataType::Int32 => Ok(Self::Int(
                value
                    .as_any()
                    .downcast_ref::<Int32Array>()
                    .unwrap()
                    .values()
                    .to_vec(),
            )),
            DataType::Int64 => Ok(Self::BigInt(
                value
                    .as_any()
                    .downcast_ref::<Int64Array>()
                    .unwrap()
                    .values()
                    .to_vec(),
            )),
            DataType::Decimal128(38, 0) => Ok(Self::Int128(
                value
                    .as_any()
                    .downcast_ref::<Decimal128Array>()
                    .unwrap()
                    .values()
                    .to_vec(),
            )),
            DataType::Decimal256(precision, scale) if *precision <= 75 => Ok(Self::Decimal75(
                Precision::new(*precision).expect("precision is less than 76"),
                *scale,
                value
                    .as_any()
                    .downcast_ref::<Decimal256Array>()
                    .unwrap()
                    .values()
                    .iter()
                    .map(convert_i256_to_scalar)
                    .map(Option::unwrap)
                    .collect(),
            )),
            DataType::Utf8 => Ok(Self::VarChar(
                value
                    .as_any()
                    .downcast_ref::<StringArray>()
                    .unwrap()
                    .iter()
                    .map(|s| s.unwrap().to_string())
                    .collect(),
            )),
            DataType::LargeBinary => Ok(Self::VarBinary(
                value
                    .as_any()
                    .downcast_ref::<LargeBinaryArray>()
                    .unwrap()
                    .iter()
                    .map(|s| s.map(<[u8]>::to_vec).unwrap())
                    .collect(),
            )),
            DataType::Timestamp(time_unit, timezone) => match time_unit {
                ArrowTimeUnit::Second => {
                    let array = value
                        .as_any()
                        .downcast_ref::<TimestampSecondArray>()
                        .expect(
                            "This cannot fail, all Arrow TimeUnits are mapped to PoSQL TimeUnits",
                        );
                    let timestamps = array.values().iter().copied().collect::<Vec<i64>>();
                    Ok(OwnedColumn::TimestampTZ(
                        PoSQLTimeUnit::Second,
                        PoSQLTimeZone::try_from(timezone)?,
                        timestamps,
                    ))
                }
                ArrowTimeUnit::Millisecond => {
                    let array = value
                        .as_any()
                        .downcast_ref::<TimestampMillisecondArray>()
                        .expect(
                            "This cannot fail, all Arrow TimeUnits are mapped to PoSQL TimeUnits",
                        );
                    let timestamps = array.values().iter().copied().collect::<Vec<i64>>();
                    Ok(OwnedColumn::TimestampTZ(
                        PoSQLTimeUnit::Millisecond,
                        PoSQLTimeZone::try_from(timezone)?,
                        timestamps,
                    ))
                }
                ArrowTimeUnit::Microsecond => {
                    let array = value
                        .as_any()
                        .downcast_ref::<TimestampMicrosecondArray>()
                        .expect(
                            "This cannot fail, all Arrow TimeUnits are mapped to PoSQL TimeUnits",
                        );
                    let timestamps = array.values().iter().copied().collect::<Vec<i64>>();
                    Ok(OwnedColumn::TimestampTZ(
                        PoSQLTimeUnit::Microsecond,
                        PoSQLTimeZone::try_from(timezone)?,
                        timestamps,
                    ))
                }
                ArrowTimeUnit::Nanosecond => {
                    let array = value
                        .as_any()
                        .downcast_ref::<TimestampNanosecondArray>()
                        .expect(
                            "This cannot fail, all Arrow TimeUnits are mapped to PoSQL TimeUnits",
                        );
                    let timestamps = array.values().iter().copied().collect::<Vec<i64>>();
                    Ok(OwnedColumn::TimestampTZ(
                        PoSQLTimeUnit::Nanosecond,
                        PoSQLTimeZone::try_from(timezone)?,
                        timestamps,
                    ))
                }
            },
            &data_type => Err(OwnedArrowConversionError::UnsupportedType {
                datatype: data_type.clone(),
            }),
        }
    }
}

impl<S: Scalar> TryFrom<RecordBatch> for OwnedTable<S> {
    type Error = OwnedArrowConversionError;
    fn try_from(value: RecordBatch) -> Result<Self, Self::Error> {
        let num_columns = value.num_columns();
        let table: Result<IndexMap<_, _>, Self::Error> = value
            .schema()
            .fields()
            .iter()
            .zip(value.columns())
            .map(|(field, array_ref)| {
                let owned_column = OwnedColumn::try_from(array_ref)?;
                let identifier = Ident::new(field.name());
                Ok((identifier, owned_column))
            })
            .collect();
        let owned_table = Self::try_new(table?)?;
        if num_columns == owned_table.num_columns() {
            Ok(owned_table)
        } else {
            Err(OwnedArrowConversionError::DuplicateIdents)
        }
    }
}