use crate::{
    PolarsPlugin,
    dataframe::values::{Column, NuDataFrame, NuExpression},
    values::{CustomValueSupport, PolarsPluginObject, PolarsPluginType, cant_convert_err},
};
use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{
    Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
};
use polars::prelude::{DataType, Expr, lit};

#[derive(Clone)]
pub struct ExprIsIn;

impl PluginCommand for ExprIsIn {
    type Plugin = PolarsPlugin;

    fn name(&self) -> &str {
        "polars is-in"
    }

    fn description(&self) -> &str {
        "Creates an is-in expression or checks to see if the elements are contained in the right series"
    }

    fn signature(&self) -> Signature {
        Signature::build(self.name())
            .required("list", SyntaxShape::Any, "List to check if values are in.")
            .input_output_types(vec![
                (
                    PolarsPluginType::NuExpression.into(),
                    PolarsPluginType::NuExpression.into(),
                ),
                (
                    PolarsPluginType::NuSelector.into(),
                    PolarsPluginType::NuExpression.into(),
                ),
            ])
            .category(Category::Custom("expression".into()))
    }

    fn examples(&self) -> Vec<Example<'_>> {
        vec![
            Example {
                description: "Creates a is-in expression using a list",
                example: r#"let df = ([[a b]; [one 1] [two 2] [three 3]] | polars into-df);
            $df | polars with-column (polars col a | polars is-in [one two] | polars as a_in)"#,
                result: Some(
                    NuDataFrame::try_from_columns(
                        vec![
                            Column::new(
                                "a".to_string(),
                                vec![
                                    Value::test_string("one"),
                                    Value::test_string("two"),
                                    Value::test_string("three"),
                                ],
                            ),
                            Column::new(
                                "b".to_string(),
                                vec![Value::test_int(1), Value::test_int(2), Value::test_int(3)],
                            ),
                            Column::new(
                                "a_in".to_string(),
                                vec![
                                    Value::test_bool(true),
                                    Value::test_bool(true),
                                    Value::test_bool(false),
                                ],
                            ),
                        ],
                        None,
                        Span::test_data(),
                    )
                    .expect("simple df for test should not fail")
                    .into_value(Span::test_data()),
                ),
            },
            Example {
                description: "Creates a is-in expression using a polars series",
                example: r#"let df = ([[a b]; [one 1] [two 2] [three 3]] | polars into-df);
            $df | polars with-column (polars col a | polars is-in ([one two] | polars into-df) | polars as a_in)"#,
                result: Some(
                    NuDataFrame::try_from_columns(
                        vec![
                            Column::new(
                                "a".to_string(),
                                vec![
                                    Value::test_string("one"),
                                    Value::test_string("two"),
                                    Value::test_string("three"),
                                ],
                            ),
                            Column::new(
                                "b".to_string(),
                                vec![Value::test_int(1), Value::test_int(2), Value::test_int(3)],
                            ),
                            Column::new(
                                "a_in".to_string(),
                                vec![
                                    Value::test_bool(true),
                                    Value::test_bool(true),
                                    Value::test_bool(false),
                                ],
                            ),
                        ],
                        None,
                        Span::test_data(),
                    )
                    .expect("simple df for test should not fail")
                    .into_value(Span::test_data()),
                ),
            },
            Example {
                description: "Creates a is-in expression using a polars expr",
                example: r#"let df = ([[a b]; [one 1] [two 2] [three 3]] | polars into-df);
            $df | polars with-column (polars col a | polars is-in (polars lit [one two] | polars implode) | polars as a_in)"#,
                result: Some(
                    NuDataFrame::try_from_columns(
                        vec![
                            Column::new(
                                "a".to_string(),
                                vec![
                                    Value::test_string("one"),
                                    Value::test_string("two"),
                                    Value::test_string("three"),
                                ],
                            ),
                            Column::new(
                                "b".to_string(),
                                vec![Value::test_int(1), Value::test_int(2), Value::test_int(3)],
                            ),
                            Column::new(
                                "a_in".to_string(),
                                vec![
                                    Value::test_bool(true),
                                    Value::test_bool(true),
                                    Value::test_bool(false),
                                ],
                            ),
                        ],
                        None,
                        Span::test_data(),
                    )
                    .expect("simple df for test should not fail")
                    .into_value(Span::test_data()),
                ),
            },
        ]
    }

    fn search_terms(&self) -> Vec<&str> {
        vec!["check", "contained", "is-contain", "match"]
    }

    fn run(
        &self,
        plugin: &Self::Plugin,
        engine: &EngineInterface,
        call: &EvaluatedCall,
        mut input: PipelineData,
    ) -> Result<PipelineData, LabeledError> {
        let metadata = input.take_metadata();
        let value = input.into_value(call.head)?;
        match PolarsPluginObject::try_from_value(plugin, &value)? {
            PolarsPluginObject::NuExpression(expr) => command_expr(plugin, engine, call, expr),
            PolarsPluginObject::NuSelector(selector) => {
                let expr = selector.into_expr();
                command_expr(plugin, engine, call, expr)
            }
            _ => Err(cant_convert_err(
                &value,
                &[
                    PolarsPluginType::NuDataFrame,
                    PolarsPluginType::NuLazyFrame,
                    PolarsPluginType::NuExpression,
                    PolarsPluginType::NuSelector,
                ],
            )),
        }
        .map_err(LabeledError::from)
        .map(|pd| pd.set_metadata(metadata))
    }
}

fn command_expr(
    plugin: &PolarsPlugin,
    engine: &EngineInterface,
    call: &EvaluatedCall,
    expr: NuExpression,
) -> Result<PipelineData, ShellError> {
    let is_in_expr: Expr = call
        .req::<Value>(0)
        .and_then(|ref value| NuExpression::try_from_value(plugin, value))
        .map(|expr| expr.into_polars())
        .or_else(|_| {
            let values: NuDataFrame = call
                .req::<Value>(0)
                .and_then(|ref value| NuDataFrame::try_from_value(plugin, value))
                .or_else(|_| {
                    call.req::<Vec<Value>>(0).and_then(|list| {
                        NuDataFrame::try_from_columns(
                            vec![Column::new("list".to_string(), list)],
                            None,
                            call.head,
                        )
                    })
                })?;

            let list = values.as_series(call.head)?;

            if matches!(list.dtype(), DataType::Object(..)) {
                Err(ShellError::IncompatibleParametersSingle {
                    msg: "Cannot use a mixed list as argument".into(),
                    span: call.head,
                })
            } else {
                Ok(lit(list).implode())
            }
        })?;

    let expr: NuExpression = expr.into_polars().is_in(is_in_expr, true).into();
    expr.to_pipeline_data(plugin, engine, call.head)
}

#[cfg(test)]
mod test {
    use super::*;
    use crate::test::test_polars_plugin_command;

    #[test]
    fn test_examples() -> Result<(), ShellError> {
        test_polars_plugin_command(&ExprIsIn)
    }
}
