//! `Bias` — shapes a raw signal score into a bounded, UNSIGNED-magnitude directional
//! bias (C10). The strategy's primary output: one f64 input, one f64 output
//! `clamp(signal / scale, -1, +1)`. Sign is direction, magnitude is (optional)
//! conviction; the output is UNSIZED — sizing leaves the strategy (downstream Sizer).
//! `scale` sets which signal magnitude maps to full conviction.
use aura_core::{
    Cell, Ctx, FieldSpec, Firing, Node, NodeSchema, ParamSpec, PortSpec, PrimitiveBuilder,
    ScalarKind,
};

/// Bounded bias from a raw signal score: `clamp(signal / scale, -1.0, +1.0)`.
/// Emits `None` until its input is present (warm-up filter, C8).
pub struct Bias {
    scale: f64,
    out: [Cell; 1],
}

impl Bias {
    /// Build a bias node with saturation magnitude `scale` (must be > 0).
    pub fn new(scale: f64) -> Self {
        assert!(scale > 0.0, "Bias scale must be > 0");
        Self { scale, out: [Cell::from_f64(0.0)] }
    }

    /// The param-generic recipe for a blueprint primitive: declares `scale` and builds
    /// through `Bias::new` (the single sizing/validation gate; the slice is
    /// kind-checked before `build` runs, so the typed read is total).
    pub fn builder() -> PrimitiveBuilder {
        PrimitiveBuilder::new(
            "Bias",
            NodeSchema {
                inputs: vec![PortSpec { kind: ScalarKind::F64, firing: Firing::Any, name: "signal".into() }],
                output: vec![FieldSpec { name: "bias".into(), kind: ScalarKind::F64 }],
                params: vec![ParamSpec { name: "scale".into(), kind: ScalarKind::F64 }],
            },
            |p| Box::new(Bias::new(p[0].f64())),
        )
    }
}

impl Node for Bias {
    fn lookbacks(&self) -> Vec<usize> {
        vec![1]
    }

    fn eval(&mut self, ctx: Ctx<'_>) -> Option<&[Cell]> {
        let w = ctx.f64_in(0);
        if w.is_empty() {
            return None; // not yet warmed up (C8 filter)
        }
        self.out[0] = Cell::from_f64((w[0] / self.scale).clamp(-1.0, 1.0));
        Some(&self.out)
    }

    fn label(&self) -> String {
        format!("Bias({})", self.scale)
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use aura_core::{AnyColumn, Scalar, Timestamp};

    #[test]
    fn bias_clamps_to_unit_band() {
        let mut e = Bias::new(0.5);
        let mut inputs = vec![AnyColumn::with_capacity(ScalarKind::F64, 1)];
        // (raw signal, expected clamped bias) for scale 0.5
        let cases = [
            (0.1_f64, 0.2_f64), // within band
            (0.5, 1.0),         // at the high edge
            (1.0, 1.0),         // saturates high
            (-0.1, -0.2),       // within band, negative
            (-1.0, -1.0),       // saturates low
        ];
        for (sig, want) in cases {
            inputs[0].push(Scalar::f64(sig)).unwrap();
            assert_eq!(
                e.eval(Ctx::new(&inputs, Timestamp(0))),
                Some([Cell::from_f64(want)].as_slice())
            );
        }
    }

    #[test]
    fn bias_is_none_until_input_present() {
        let mut e = Bias::new(0.5);
        let inputs = vec![AnyColumn::with_capacity(ScalarKind::F64, 1)];
        assert_eq!(e.eval(Ctx::new(&inputs, Timestamp(0))), None);
    }

    #[test]
    fn input_slot_is_named_signal() {
        assert_eq!(Bias::builder().schema().inputs[0].name, "signal");
    }
}