datafusion-functions-json 0.53.0

use std::any::Any;
use std::sync::Arc;

use datafusion::arrow::array::BooleanBuilder;
use datafusion::arrow::datatypes::DataType;
use datafusion::common::arrow::array::{ArrayRef, BooleanArray};
use datafusion::common::{plan_err, Result, ScalarValue};
use datafusion::logical_expr::{ColumnarValue, ScalarFunctionArgs, ScalarUDFImpl, Signature, Volatility};

use crate::common::{invoke, jiter_json_find, return_type_check, GetError, InvokeResult, JsonPath};
use crate::common_macros::make_udf_function;

make_udf_function!(
    JsonContains,
    json_contains,
    json_data path,
    r#"Does the key/index exist within the JSON value as the specified "path"?"#
);

#[derive(Debug, PartialEq, Eq, Hash)]
pub(super) struct JsonContains {
    signature: Signature,
    aliases: [String; 1],
}

impl Default for JsonContains {
    fn default() -> Self {
        Self {
            signature: Signature::variadic_any(Volatility::Immutable),
            aliases: ["json_contains".to_string()],
        }
    }
}

impl ScalarUDFImpl for JsonContains {
    fn as_any(&self) -> &dyn Any {
        self
    }

    fn name(&self) -> &str {
        self.aliases[0].as_str()
    }

    fn signature(&self) -> &Signature {
        &self.signature
    }

    fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
        if arg_types.len() < 2 {
            plan_err!("The 'json_contains' function requires two or more arguments.")
        } else {
            return_type_check(arg_types, self.name(), DataType::Boolean).map(|_| DataType::Boolean)
        }
    }

    fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
        invoke::<BooleanArray>(&args.args, jiter_json_contains)
    }

    fn aliases(&self) -> &[String] {
        &self.aliases
    }

    fn placement(
        &self,
        args: &[datafusion::logical_expr::ExpressionPlacement],
    ) -> datafusion::logical_expr::ExpressionPlacement {
        // If the first argument is a column and the remaining arguments are literals (a path)
        // then we can push this UDF down to the leaf nodes.
        if args.len() >= 2
            && matches!(args[0], datafusion::logical_expr::ExpressionPlacement::Column)
            && args[1..]
                .iter()
                .all(|arg| matches!(arg, datafusion::logical_expr::ExpressionPlacement::Literal))
        {
            datafusion::logical_expr::ExpressionPlacement::MoveTowardsLeafNodes
        } else {
            datafusion::logical_expr::ExpressionPlacement::KeepInPlace
        }
    }
}

impl InvokeResult for BooleanArray {
    type Item = bool;

    type Builder = BooleanBuilder;

    // Using boolean inside a dictionary is not an optimization!
    const ACCEPT_DICT_RETURN: bool = false;

    fn builder(capacity: usize) -> Self::Builder {
        BooleanBuilder::with_capacity(capacity)
    }

    fn append_value(builder: &mut Self::Builder, value: Option<Self::Item>) {
        builder.append_option(value);
    }

    fn finish(mut builder: Self::Builder) -> Result<ArrayRef> {
        Ok(Arc::new(builder.finish()))
    }

    fn scalar(value: Option<Self::Item>) -> ScalarValue {
        ScalarValue::Boolean(value)
    }
}

#[allow(clippy::unnecessary_wraps)]
fn jiter_json_contains(json_data: Option<&str>, path: &[JsonPath]) -> Result<bool, GetError> {
    Ok(jiter_json_find(json_data, path).is_some())
}