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use crate::infer::*;
use crate::internal::*;

pub use tract_core::ops::array::TypedConcat;
use tract_core::ops::binary::wire_cast;

/// Concat: high level concat op
#[derive(Debug, Clone, new, Hash)]
pub struct Concat {
    axis: i64,
}



impl Concat {
    fn resolve_axis(&self, rank: i64) -> TractResult<usize> {
        if 0 <= self.axis && self.axis < rank {
            Ok(self.axis as usize)
        } else if -rank <= self.axis && self.axis < 0 {
            Ok((self.axis + rank) as usize)
        } else {
            bail!("Illegal combination of values for rank and axis: {} and {}", rank, self.axis)
        }
    }
}

impl Expansion for Concat {
    fn name(&self) -> Cow<str> {
        "InferenceConcat".into()
    }

    fn rules<'r, 'p: 'r, 's: 'r>(
        &'s self,
        s: &mut Solver<'r>,
        inputs: &'p [TensorProxy],
        outputs: &'p [TensorProxy],
    ) -> InferenceResult {
        check_output_arity(outputs, 1)?;
        s.equals(&outputs[0].rank, &inputs[0].rank)?;
        let n = inputs.len();
        s.equals_all((0..n).map(|i| (&inputs[i].rank).bex()).collect())?;
        s.given_all((0..n).map(|i| (&inputs[i].datum_type).bex()), move |s, dts| {
            let super_type: DatumType = DatumType::super_type_for(&dts)
                .with_context(|| format!("No supertype found for {dts:?}"))?;
            s.equals(&outputs[0].datum_type, super_type)
        })?;
        s.given(&inputs[0].rank, move |s, rank| {
            let axis = self.resolve_axis(rank)?;
            s.equals(
                rules::expr::SumExp::new((0..n).map(|i| (&inputs[i].shape[axis]).bex()).collect()),
                &outputs[0].shape[axis],
            )?;
            for axis in 0..axis {
                s.equals(&outputs[0].shape[axis], &inputs[0].shape[axis])?;
                s.equals_all((0..n).map(|i| inputs[i].shape[axis].bex()).collect())?;
            }
            for axis in (axis + 1)..(rank as usize) {
                s.equals(&outputs[0].shape[axis], &inputs[0].shape[axis])?;
                s.equals_all((0..n).map(|i| inputs[i].shape[axis].bex()).collect())?;
            }
            Ok(())
        })?;
        Ok(())
    }

    fn wire(
        &self,
        prefix: &str,
        target: &mut TypedModel,
        inputs: &[OutletId],
    ) -> TractResult<TVec<OutletId>> {
        let facts = inputs
            .iter()
            .map(|i| target.outlet_fact(*i).map(|x| x.clone()))
            .collect::<TractResult<TVec<_>>>()?;

        let super_type = if let Some(super_type) =
            DatumType::super_type_for(facts.iter().map(|x| x.datum_type))
        {
            super_type
        } else {
            bail!("Can not type op");
        };

        let axis = self.resolve_axis(facts[0].shape.rank() as i64)?;

        let inputs = wire_cast(prefix, target, inputs, super_type)?;
        let op = TypedConcat::new(axis);
        target.wire_node(prefix, op, &inputs)
    }
}