feat: add Decimal type

__tests__/series.test.ts

@@ -1,6 +1,5 @@
 /* eslint-disable newline-per-chained-call */
 import pl from "@polars";
-import { InvalidOperationError } from "../polars/error";
 import Chance from "chance";
 
 describe("from lists", () => {
@@ -186,6 +185,32 @@ describe("typedArrays", () => {
     const actual = pl.Series(float64Array).toTypedArray();
     expect(JSON.stringify(actual)).toEqual(JSON.stringify(float64Array));
   });
+
+  test("decimal", () => {
+    const expected = [1n, 2n, 3n];
+    const expectedDtype = pl.Decimal(10, 2);
+    const actual = pl.Series("", expected, expectedDtype);
+    expect(actual.dtype).toEqual(expectedDtype);
+    try {
+      actual.toArray();
+    } catch (e: any) {
+      expect(e.message).toContain(
+        "Decimal is not a supported type in javascript, please convert to string or number before collecting to js",
+      );
+    }
+  });
+
+  test("fixed list", () => {
+    const expectedDtype = pl.FixedSizeList(pl.Float32, 3);
+    const expected = [
+      [1, 2, 3],
+      [4, 5, 6],
+    ];
+    const actual = pl.Series("", expected, expectedDtype);
+    expect(actual.dtype).toEqual(expectedDtype);
+    const actualValues = actual.toArray();
+    expect(actualValues).toEqual(expected);
+  });
 });
 describe("series", () => {
   const chance = new Chance();

polars/datatypes/datatype.ts

@@ -81,6 +81,10 @@ export abstract class DataType {
     return new Categorical();
   }
 
+  public static Decimal(precision: number, scale: number): DataType {
+    return new Decimal(precision, scale);
+  }
+
   /**
    * Calendar date and time type
    * @param timeUnit any of 'ms' | 'ns' | 'us'
@@ -186,6 +190,38 @@ export class String extends DataType {}
 
 export class Categorical extends DataType {}
 
+export class Decimal extends DataType {
+  constructor(
+    private precision: number,
+    private scale: number,
+  ) {
+    super();
+  }
+  override get inner() {
+    return [this.precision, this.scale];
+  }
+  override equals(other: DataType): boolean {
+    if (other.variant === this.variant) {
+      return (
+        this.precision === (other as Decimal).precision &&
+        this.scale === (other as Decimal).scale
+      );
+    }
+    return false;
+  }
+
+  override toJSON() {
+    return {
+      [this.identity]: {
+        [this.variant]: {
+          precision: this.precision,
+          scale: this.scale,
+        },
+      },
+    };
+  }
+}
+
 /**
  * Datetime type
  */
@@ -349,6 +385,7 @@ export namespace DataType {
   export type Object = import(".").Object_;
   export type Null = import(".").Null;
   export type Struct = import(".").Struct;
+  export type Decimal = import(".").Decimal;
   /**
    * deserializes a datatype from the serde output of rust polars `DataType`
    * @param dtype dtype object

polars/datatypes/index.ts

@@ -107,6 +107,15 @@ const POLARS_TYPE_TO_CONSTRUCTOR: Record<string, any> = {
   List(name, values, _strict, dtype) {
     return pli.JsSeries.newList(name, values, dtype);
   },
+  Decimal(name, values, strict, dtype) {
+    return pli.JsSeries.newDecimal(
+      name,
+      values,
+      strict,
+      dtype.inner[0], // precision
+      dtype.inner[1], // scale
+    );
+  },
 };
 
 /** @ignore */

polars/index.ts

@@ -1,7 +1,8 @@
+import { Decimal } from "./datatypes/datatype";
 import * as series from "./series";
 import * as df from "./dataframe";
 import { DataType, Field as _field } from "./datatypes";
-export { DataType } from "./datatypes";
+export * from "./datatypes";
 import * as func from "./functions";
 import * as io from "./io";
 import * as cfg from "./cfg";
@@ -111,6 +112,7 @@ export namespace pl {
   export type Object = import("./datatypes").Object_;
   export type Null = import("./datatypes").Null;
   export type Struct = import("./datatypes").Struct;
+  export type Decimal = import("./datatypes").Decimal;
 
   export const Categorical = DataType.Categorical;
   export const Int8 = DataType.Int8;
@@ -137,6 +139,7 @@ export namespace pl {
   export const Object = DataType.Object;
   export const Null = DataType.Null;
   export const Struct = DataType.Struct;
+  export const Decimal = DataType.Decimal;
 
   /**
    * Run SQL queries against DataFrame/LazyFrame data.

polars/internals/construction.ts

@@ -158,6 +158,13 @@ export function arrayToJsSeries(
 
     return df.toStruct(name);
   }
+
+  if (dtype?.variant === "Decimal") {
+    if (typeof firstValue !== "bigint") {
+      throw new Error("Decimal type can only be constructed from BigInt");
+    }
+    return pli.JsSeries.newAnyvalue(name, values, dtype, strict);
+  }
   if (firstValue instanceof Date) {
     series = pli.JsSeries.newOptDate(name, values, strict);
   } else {

src/conversion.rs

@@ -67,6 +67,7 @@ impl ToSeries for JsUnknown {
         Series::new("", v)
     }
 }
+
 impl ToNapiValue for Wrap<&Series> {
     unsafe fn to_napi_value(napi_env: sys::napi_env, val: Self) -> napi::Result<sys::napi_value> {
         let s = val.0;
@@ -101,6 +102,7 @@ impl ToNapiValue for Wrap<&Series> {
         }
     }
 }
+
 impl<'a> ToNapiValue for Wrap<AnyValue<'a>> {
     unsafe fn to_napi_value(env: sys::napi_env, val: Self) -> Result<sys::napi_value> {
         match val.0 {
@@ -152,7 +154,16 @@ impl<'a> ToNapiValue for Wrap<AnyValue<'a>> {
             AnyValue::Time(v) => i64::to_napi_value(env, v),
             AnyValue::List(ser) => Wrap::<&Series>::to_napi_value(env, Wrap(&ser)),
             ref av @ AnyValue::Struct(_, _, flds) => struct_dict(env, av._iter_struct_av(), flds),
-            _ => todo!(),
+            AnyValue::Array(ser, _) => Wrap::<&Series>::to_napi_value(env, Wrap(&ser)),
+            AnyValue::Enum(_, _, _) => todo!(),
+            AnyValue::Object(_) => todo!(),
+            AnyValue::ObjectOwned(_) => todo!(),
+            AnyValue::StructOwned(_) => todo!(),
+            AnyValue::Binary(_) => todo!(),
+            AnyValue::BinaryOwned(_) => todo!(),
+            AnyValue::Decimal(_, _) => {
+                Err(napi::Error::from_reason("Decimal is not a supported type in javascript, please convert to string or number before collecting to js"))
+            }
         }
     }
 }
@@ -679,6 +690,12 @@ impl FromNapiValue for Wrap<DataType> {
                         }
                         DataType::Struct(fldvec)
                     }
+                    "Decimal" => {
+                        let inner = obj.get::<_, Array>("inner")?.unwrap(); // [precision, scale]
+                        let precision = inner.get::<i32>(0)?.unwrap();
+                        let scale = inner.get::<i32>(1)?.unwrap();
+                        DataType::Decimal(Some(precision as usize), Some(scale as usize))
+                    }
                     tp => panic!("Type {} not implemented in str_to_polarstype", tp),
                 };
                 Ok(Wrap(dtype))
@@ -963,6 +980,27 @@ impl ToNapiValue for Wrap<DataType> {
 
                 Object::to_napi_value(env, obj)
             }
+            DataType::Array(dtype, size) => {
+                let env_ctx = Env::from_raw(env);
+                let mut obj = env_ctx.create_object()?;
+                let wrapped = Wrap(*dtype);
+                let mut inner_arr = env_ctx.create_array(2)?;
+                inner_arr.set(0, wrapped)?;
+                inner_arr.set(1, size as u32)?;
+                obj.set("variant", "FixedSizeList")?;
+                obj.set("inner", inner_arr)?;
+                Object::to_napi_value(env, obj)
+            }
+            DataType::Decimal(precision, scale) => {
+                let env_ctx = Env::from_raw(env);
+                let mut obj = env_ctx.create_object()?;
+                let mut inner_arr = env_ctx.create_array(2)?;
+                inner_arr.set(0, precision.map(|p| p as u32))?;
+                inner_arr.set(1, scale.map(|s| s as u32))?;
+                obj.set("variant", "Decimal")?;
+                obj.set("inner", inner_arr)?;
+                Object::to_napi_value(env, obj)
+            }
             _ => {
                 todo!()
             }

src/dataframe.rs

@@ -90,8 +90,7 @@ pub struct ReadCsvOptions {
 fn mmap_reader_to_df<'a>(
     csv: impl MmapBytesReader + 'a,
     options: ReadCsvOptions,
-) -> napi::Result<JsDataFrame>
-{
+) -> napi::Result<JsDataFrame> {
     let null_values = options.null_values.map(|w| w.0);
     let row_count = options.row_count.map(RowIndex::from);
     let projection = options
@@ -598,12 +597,15 @@ impl JsDataFrame {
 
         let df = self
             .df
-            .join(&other.df, left_on, right_on,
+            .join(
+                &other.df,
+                left_on,
+                right_on,
                 JoinArgs {
                     how: how,
                     suffix: suffix,
                     ..Default::default()
-                }
+                },
             )
             .map_err(JsPolarsErr::from)?;
         Ok(JsDataFrame::new(df))

src/lazy/dsl.rs

@@ -955,16 +955,22 @@ impl JsExpr {
             .into()
     }
     #[napi(catch_unwind)]
-    pub fn replace(&self, old: &JsExpr, new: &JsExpr, default: Option<&JsExpr>, return_dtype: Option<Wrap<DataType>>) -> JsExpr {
+    pub fn replace(
+        &self,
+        old: &JsExpr,
+        new: &JsExpr,
+        default: Option<&JsExpr>,
+        return_dtype: Option<Wrap<DataType>>,
+    ) -> JsExpr {
         self.inner
-        .clone()
-        .replace(
-            old.inner.clone(),
-            new.inner.clone(),
-            default.map(|e| e.inner.clone()),
-            return_dtype.map(|dt| dt.0),
-        )
-        .into()
+            .clone()
+            .replace(
+                old.inner.clone(),
+                new.inner.clone(),
+                default.map(|e| e.inner.clone()),
+                return_dtype.map(|dt| dt.0),
+            )
+            .into()
     }
     #[napi(catch_unwind)]
     pub fn year(&self) -> JsExpr {

src/series.rs

@@ -194,6 +194,22 @@ impl JsSeries {
             .into_series()
             .into())
     }
+
+    #[napi(factory, catch_unwind)]
+    pub fn new_anyvalue(
+        name: String,
+        values: Vec<Wrap<AnyValue>>,
+        dtype: Wrap<DataType>,
+        strict: bool,
+    ) -> napi::Result<JsSeries> {
+        let values = values.into_iter().map(|v| v.0).collect::<Vec<_>>();
+
+        let s = Series::from_any_values_and_dtype(&name, &values, &dtype.0, strict)
+            .map_err(JsPolarsErr::from)?;
+
+        Ok(s.into())
+    }
+
     #[napi(factory, catch_unwind)]
     pub fn new_list(name: String, values: Array, dtype: Wrap<DataType>) -> napi::Result<JsSeries> {
         use crate::list_construction::js_arr_to_list;
@@ -993,8 +1009,15 @@ impl JsSeries {
     //   Ok(ca.into_series().into())
     // }
     #[napi(catch_unwind)]
-    pub fn to_dummies(&self, separator: Option<&str>, drop_first: bool) -> napi::Result<JsDataFrame> {
-        let df = self.series.to_dummies(separator, drop_first).map_err(JsPolarsErr::from)?;
+    pub fn to_dummies(
+        &self,
+        separator: Option<&str>,
+        drop_first: bool,
+    ) -> napi::Result<JsDataFrame> {
+        let df = self
+            .series
+            .to_dummies(separator, drop_first)
+            .map_err(JsPolarsErr::from)?;
         Ok(df.into())
     }
     #[napi(catch_unwind)]