score-set 0.2.0

use crate::float::Float;
use crate::value::Value01;
use core::marker::PhantomData;
use witnessed::Witnessed;

// ---------------------------------------------------------------------------
// Metric builder — measure().by() → map01().by() → build()
// ---------------------------------------------------------------------------

/// Entry point: `metric("name")`.
pub fn metric(name: &'static str) -> MetricName {
    MetricName { name }
}

/// First stage: a name has been given, waiting for `.measure()`.
pub struct MetricName {
    name: &'static str,
}

impl MetricName {
    /// Enter the measure stage.
    pub fn measure(self) -> MeasureStage {
        MeasureStage { name: self.name }
    }
}

/// Second stage: ready for `.by(measure_closure)`.
pub struct MeasureStage {
    name: &'static str,
}

impl MeasureStage {
    /// Supply the measure closure `Fn(I) -> Raw`.
    pub fn by<I, Raw, M>(self, measure: M) -> MeasureSet<I, Raw, M> {
        MeasureSet {
            name: self.name,
            measure,
            _phantom: PhantomData,
        }
    }
}

/// Third stage: measure closure is set, waiting for `.map01()`.
pub struct MeasureSet<I, Raw, M> {
    name: &'static str,
    measure: M,
    _phantom: PhantomData<(I, Raw)>,
}

impl<I, Raw, M> MeasureSet<I, Raw, M> {
    /// Enter the map01 stage.
    pub fn map01(self) -> Map01Stage<I, Raw, M> {
        Map01Stage {
            name: self.name,
            measure: self.measure,
            _phantom: PhantomData,
        }
    }
}

/// Fourth stage: ready for `.by(map01_closure)`.
pub struct Map01Stage<I, Raw, M> {
    name: &'static str,
    measure: M,
    _phantom: PhantomData<(I, Raw)>,
}

impl<I, Raw, M> Map01Stage<I, Raw, M> {
    /// Supply the map01 closure `Fn(&Raw, I) -> Witnessed<T, Value01>`.
    ///
    /// The type `T: Float` is inferred from the return type of the closure.
    pub fn by<T: Float, F>(self, map01: F) -> Metric<T, I, Raw, M, F> {
        Metric {
            name: self.name,
            measure: self.measure,
            map01,
            _phantom: PhantomData,
        }
    }
}

// Shape methods — available when Raw is the same float type as the Value01 output.

impl<I, T: Float, M> Map01Stage<I, T, M> {
    /// Identity: clamp raw value to `[0, 1]`.
    pub fn identity(self) -> Metric<T, I, T, M, impl Fn(&T, &I) -> Witnessed<T, Value01>> {
        self.by(|raw: &T, _: &I| Value01::witness(raw.min(T::one()).max(T::zero())).unwrap())
    }

    /// Linear: `raw / max`, clamped to `[0, 1]`.
    pub fn linear(self, max: T) -> Metric<T, I, T, M, impl Fn(&T, &I) -> Witnessed<T, Value01>> {
        self.by(move |raw: &T, _: &I| {
            Value01::witness((*raw / max).min(T::one()).max(T::zero())).unwrap()
        })
    }

    /// Sigmoid fitted to `[low, high]`.
    ///
    /// Automatically derives midpoint `x0 = (low + high) / 2` and steepness
    /// `k = 2·ln(1/ε − 1) / (high − low)` where `ε = 10·epsilon`.
    /// At `raw = low` output is ≈ ε, at `raw = high` ≈ 1−ε.
    pub fn sigmoid(
        self,
        low: T,
        high: T,
    ) -> Metric<T, I, T, M, impl Fn(&T, &I) -> Witnessed<T, Value01>> {
        let two = T::from_f64(2.0);
        let eps = T::from_f64(10.0) * T::epsilon();
        let x0 = (low + high) / two;
        let k = two * (T::one() / eps - T::one()).ln() / (high - low);
        self.by(move |raw: &T, _: &I| {
            let v = T::one() / (T::one() + (-k * (*raw - x0)).exp());
            Value01::witness(v).unwrap()
        })
    }

    /// Asymmetric Cauchy: `1 / (1 + (raw / half)^2)`, with independent
    /// half-widths for the left (`raw < 0`) and right (`raw >= 0`) sides.
    pub fn cauchy(
        self,
        left: T,
        right: T,
    ) -> Metric<T, I, T, M, impl Fn(&T, &I) -> Witnessed<T, Value01>> {
        self.by(move |raw: &T, _: &I| {
            let h = if *raw < T::zero() { left } else { right };
            let v = T::one() / (T::one() + (*raw / h) * (*raw / h));
            Value01::witness(v).unwrap()
        })
    }
}

// ---------------------------------------------------------------------------
// Metric — the built scoring operator
// ---------------------------------------------------------------------------

/// A scoring operator built via the `measure().by() → map01().by()` pipeline.
///
/// Stores two closures:
/// - `measure: Fn(I) -> Raw` — maps input to an intermediate raw value.
/// - `map01: Fn(&Raw, I) -> Witnessed<T, Value01>` — maps the raw value back
///   alongside the original input to a validated `[0, 1]` score.
///
/// `eval(input)` composes the two closures.
pub struct Metric<T, I, Raw, M, F> {
    pub(crate) name: &'static str,
    pub(crate) measure: M,
    pub(crate) map01: F,
    _phantom: PhantomData<(T, I, Raw)>,
}

impl<T: Float, I, Raw, M, F> Metric<T, I, Raw, M, F>
where
    M: Fn(&I) -> Raw,
    F: Fn(&Raw, &I) -> Witnessed<T, Value01>,
{
    /// Evaluate this metric against an input, producing a `[0, 1]` score.
    #[inline]
    pub fn eval(&self, input: &I) -> Witnessed<T, Value01> {
        let raw = (self.measure)(input);
        (self.map01)(&raw, input)
    }

    /// Return the metric's name.
    #[inline]
    pub fn name(&self) -> &str {
        self.name
    }
}

// Separate impl block for .boxed() — requires 'static for Box<dyn>.
impl<T: Float, I: 'static, Raw: 'static, M: 'static, F: 'static> Metric<T, I, Raw, M, F>
where
    M: Fn(&I) -> Raw,
    F: Fn(&Raw, &I) -> Witnessed<T, Value01>,
{
    /// Box this metric as a `Box<dyn Scorable<T, I>>` for use in
    /// [`DynamicScoreSet`](crate::DynamicScoreSet).
    ///
    /// This is a convenience over `Box::new(metric)` — it infers the
    /// `Scorable` type automatically, avoiding an explicit annotation.
    #[inline]
    pub fn boxed(self) -> Box<dyn crate::Scorable<T, I>> {
        Box::new(self)
    }
}

// Make Metric clone-able when closures are clone-able.
impl<T, I, Raw, M: Clone, F: Clone> Clone for Metric<T, I, Raw, M, F> {
    fn clone(&self) -> Self {
        Self {
            name: self.name,
            measure: self.measure.clone(),
            map01: self.map01.clone(),
            _phantom: PhantomData,
        }
    }
}

#[cfg(test)]
mod tests_for_metric;