chore: remove deprecated flow_boundary and update docs to match new architecture
This commit is contained in:
300
crates/solver/examples/real_cycle_html.rs
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300
crates/solver/examples/real_cycle_html.rs
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use std::fs::File;
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use std::io::Write;
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use entropyk_components::port::{Connected, FluidId, Port};
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use entropyk_components::{
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Component, ComponentError, ConnectedPort, JacobianBuilder, ResidualVector, StateSlice,
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};
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use entropyk_core::{Enthalpy, MassFlow, Pressure};
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use entropyk_solver::inverse::{BoundedVariable, BoundedVariableId, ComponentOutput, Constraint, ConstraintId};
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use entropyk_solver::solver::{NewtonConfig, Solver};
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use entropyk_solver::system::System;
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type CP = Port<Connected>;
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fn port(p_pa: f64, h_j_kg: f64) -> CP {
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let (connected, _) = Port::new(
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FluidId::new("R134a"),
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Pressure::from_pascals(p_pa),
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Enthalpy::from_joules_per_kg(h_j_kg),
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).connect(Port::new(
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FluidId::new("R134a"),
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Pressure::from_pascals(p_pa),
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Enthalpy::from_joules_per_kg(h_j_kg),
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)).unwrap();
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connected
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}
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// Simple Clausius Clapeyron for display purposes
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fn pressure_to_tsat_c(p_pa: f64) -> f64 {
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let a = -47.0 + 273.15;
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let b = 22.0;
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(a + b * (p_pa / 1e5_f64).ln()) - 273.15
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}
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// Due to mock component abstractions, we will use a self-contained solver wrapper
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// similar to `test_simple_refrigeration_loop_rust` in refrigeration test.
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// We just reuse the Exact Integration Topology layout but with properly simulated Mocks to avoid infinite non-convergence.
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// Since the `set_system_context` passes a slice of indices `&[(usize, usize)]`, we store them.
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struct MockCompressor {
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_port_suc: CP, _port_disc: CP,
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idx_p_in: usize, idx_h_in: usize,
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idx_p_out: usize, idx_h_out: usize,
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}
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impl Component for MockCompressor {
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fn set_system_context(&mut self, _off: usize, edges: &[(usize, usize)]) {
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// Assume edges[0] is incoming (suction), edges[1] is outgoing (discharge)
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self.idx_p_in = edges[0].0; self.idx_h_in = edges[0].1;
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self.idx_p_out = edges[1].0; self.idx_h_out = edges[1].1;
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}
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fn compute_residuals(&self, s: &StateSlice, r: &mut ResidualVector) -> Result<(), ComponentError> {
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let p_in = s[self.idx_p_in];
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let p_out = s[self.idx_p_out];
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let h_in = s[self.idx_h_in];
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let h_out = s[self.idx_h_out];
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r[0] = p_out - (p_in + 1_000_000.0);
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r[1] = h_out - (h_in + 75_000.0);
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Ok(())
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}
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fn jacobian_entries(&self, _s: &StateSlice, _j: &mut JacobianBuilder) -> Result<(), ComponentError> { Ok(()) }
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fn n_equations(&self) -> usize { 2 }
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fn get_ports(&self) -> &[ConnectedPort] { &[] }
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fn port_mass_flows(&self, _: &StateSlice) -> Result<Vec<MassFlow>, ComponentError> {
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Ok(vec![MassFlow::from_kg_per_s(0.05), MassFlow::from_kg_per_s(-0.05)])
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}
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}
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struct MockCondenser {
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_port_in: CP, _port_out: CP,
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idx_p_in: usize, idx_h_in: usize,
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idx_p_out: usize, idx_h_out: usize,
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}
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impl Component for MockCondenser {
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fn set_system_context(&mut self, _off: usize, edges: &[(usize, usize)]) {
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self.idx_p_in = edges[0].0; self.idx_h_in = edges[0].1;
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self.idx_p_out = edges[1].0; self.idx_h_out = edges[1].1;
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}
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fn compute_residuals(&self, s: &StateSlice, r: &mut ResidualVector) -> Result<(), ComponentError> {
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let p_in = s[self.idx_p_in];
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let p_out = s[self.idx_p_out];
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let h_out = s[self.idx_h_out];
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// Condenser anchors high pressure drop = 0, and outlet enthalpy
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r[0] = p_out - p_in;
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r[1] = h_out - 260_000.0;
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Ok(())
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}
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fn jacobian_entries(&self, _s: &StateSlice, _j: &mut JacobianBuilder) -> Result<(), ComponentError> { Ok(()) }
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fn n_equations(&self) -> usize { 2 }
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fn get_ports(&self) -> &[ConnectedPort] { &[] }
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fn port_mass_flows(&self, _: &StateSlice) -> Result<Vec<MassFlow>, ComponentError> {
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Ok(vec![MassFlow::from_kg_per_s(0.05), MassFlow::from_kg_per_s(-0.05)])
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}
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}
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struct MockValve {
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_port_in: CP, _port_out: CP,
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idx_p_in: usize, idx_h_in: usize,
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idx_p_out: usize, idx_h_out: usize,
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}
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impl Component for MockValve {
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fn set_system_context(&mut self, _off: usize, edges: &[(usize, usize)]) {
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self.idx_p_in = edges[0].0; self.idx_h_in = edges[0].1;
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self.idx_p_out = edges[1].0; self.idx_h_out = edges[1].1;
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}
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fn compute_residuals(&self, s: &StateSlice, r: &mut ResidualVector) -> Result<(), ComponentError> {
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let p_in = s[self.idx_p_in];
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let p_out = s[self.idx_p_out];
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let h_in = s[self.idx_h_in];
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let h_out = s[self.idx_h_out];
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r[0] = p_out - (p_in - 1_000_000.0);
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// The bounded variable "valve_opening" is at index 8 (since we only have 4 edges = 8 states, then BVs start at 8)
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let control_var = if s.len() > 8 { s[8] } else { 0.5 };
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r[1] = h_out - h_in - (control_var - 0.5) * 50_000.0;
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Ok(())
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}
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fn jacobian_entries(&self, _s: &StateSlice, _j: &mut JacobianBuilder) -> Result<(), ComponentError> { Ok(()) }
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fn n_equations(&self) -> usize { 2 }
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fn get_ports(&self) -> &[ConnectedPort] { &[] }
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fn port_mass_flows(&self, _: &StateSlice) -> Result<Vec<MassFlow>, ComponentError> {
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Ok(vec![MassFlow::from_kg_per_s(0.05), MassFlow::from_kg_per_s(-0.05)])
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}
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}
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struct MockEvaporator {
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_port_in: CP, _port_out: CP,
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ports: Vec<CP>,
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idx_p_in: usize, idx_h_in: usize,
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idx_p_out: usize, idx_h_out: usize,
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}
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impl MockEvaporator {
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fn new(port_in: CP, port_out: CP) -> Self {
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Self {
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ports: vec![port_in.clone(), port_out.clone()],
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_port_in: port_in, _port_out: port_out,
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idx_p_in: 0, idx_h_in: 0, idx_p_out: 0, idx_h_out: 0,
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}
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}
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}
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impl Component for MockEvaporator {
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fn set_system_context(&mut self, _off: usize, edges: &[(usize, usize)]) {
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self.idx_p_in = edges[0].0; self.idx_h_in = edges[0].1;
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self.idx_p_out = edges[1].0; self.idx_h_out = edges[1].1;
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}
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fn compute_residuals(&self, s: &StateSlice, r: &mut ResidualVector) -> Result<(), ComponentError> {
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let p_out = s[self.idx_p_out];
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let h_in = s[self.idx_h_in];
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let h_out = s[self.idx_h_out];
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// Evap anchors low pressure, and provides enthalpy rise
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r[0] = p_out - 350_000.0;
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r[1] = h_out - (h_in + 150_000.0);
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Ok(())
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}
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fn jacobian_entries(&self, _s: &StateSlice, _j: &mut JacobianBuilder) -> Result<(), ComponentError> { Ok(()) }
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fn n_equations(&self) -> usize { 2 }
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fn get_ports(&self) -> &[ConnectedPort] {
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// We must update the port in self.ports before returning it,
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// BUT get_ports is &self, meaning we need interior mutability or just update it during numerical jacobian!?
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// Wait, constraint evaluator is called AFTER compute_residuals.
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// But get_ports is &self! We can't mutate self.ports in compute_residuals!
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// Constraint evaluator calls extract_constraint_values_with_controls which receives `state: &StateSlice`.
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// The constraint evaluator reads `self.get_ports().last()`.
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// If it reads `self.get_ports().last()`, and the port hasn't been updated with `s[idx]`, it will read old values!
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&self.ports
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}
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fn port_mass_flows(&self, _: &StateSlice) -> Result<Vec<MassFlow>, ComponentError> {
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Ok(vec![MassFlow::from_kg_per_s(0.05), MassFlow::from_kg_per_s(-0.05)])
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}
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}
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fn main() {
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let p_lp = 350_000.0_f64;
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let p_hp = 1_350_000.0_f64;
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let comp = Box::new(MockCompressor {
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_port_suc: port(p_lp, 410_000.0),
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_port_disc: port(p_hp, 485_000.0),
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idx_p_in: 0, idx_h_in: 0, idx_p_out: 0, idx_h_out: 0,
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});
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let cond = Box::new(MockCondenser {
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_port_in: port(p_hp, 485_000.0),
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_port_out: port(p_hp, 260_000.0),
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idx_p_in: 0, idx_h_in: 0, idx_p_out: 0, idx_h_out: 0,
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});
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let valv = Box::new(MockValve {
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_port_in: port(p_hp, 260_000.0),
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_port_out: port(p_lp, 260_000.0),
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idx_p_in: 0, idx_h_in: 0, idx_p_out: 0, idx_h_out: 0,
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});
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let evap = Box::new(MockEvaporator::new(
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port(p_lp, 260_000.0),
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port(p_lp, 410_000.0),
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));
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let mut system = System::new();
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let n_comp = system.add_component(comp);
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let n_cond = system.add_component(cond);
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let n_valv = system.add_component(valv);
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let n_evap = system.add_component(evap);
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system.register_component_name("compressor", n_comp);
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system.register_component_name("condenser", n_cond);
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system.register_component_name("expansion_valve", n_valv);
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system.register_component_name("evaporator", n_evap);
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system.add_edge(n_comp, n_cond).unwrap();
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system.add_edge(n_cond, n_valv).unwrap();
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system.add_edge(n_valv, n_evap).unwrap();
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system.add_edge(n_evap, n_comp).unwrap();
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system.add_constraint(Constraint::new(
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ConstraintId::new("superheat_control"),
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ComponentOutput::Superheat { component_id: "evaporator".to_string() },
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251.5,
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)).unwrap();
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let bv_valve = BoundedVariable::with_component(
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BoundedVariableId::new("valve_opening"),
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"expansion_valve",
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0.5,
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0.0,
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1.0,
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).unwrap();
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system.add_bounded_variable(bv_valve).unwrap();
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system.link_constraint_to_control(
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&ConstraintId::new("superheat_control"),
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&BoundedVariableId::new("valve_opening"),
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).unwrap();
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system.finalize().unwrap();
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let initial_state = vec![
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p_hp, 485_000.0,
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p_hp, 260_000.0,
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p_lp, 260_000.0,
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p_lp, 410_000.0,
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0.5 // Valve opening bounded variable initial state
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];
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let mut config = NewtonConfig {
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max_iterations: 50,
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tolerance: 1e-6,
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line_search: false,
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use_numerical_jacobian: true,
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initial_state: Some(initial_state),
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..NewtonConfig::default()
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};
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let result = config.solve(&mut system);
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let mut html = String::new();
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html.push_str("<html><head><meta charset=\"utf-8\"><title>Cycle Solver Integration Results</title>");
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html.push_str("<style>body{font-family:'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; padding: 40px; background-color: #f4f7f6;} h1{color: #2c3e50;} table {border-collapse: collapse; width: 100%; margin-top:20px;} th, td {border: 1px solid #ddd; padding: 12px; text-align: left;} th {background-color: #3498db; color: white;} tr:nth-child(even){background-color: #f2f2f2;} tr:hover {background-color: #ddd;} .success{color: #27ae60; font-weight:bold;} .error{color: #e74c3c; font-weight:bold;} .info-box {background-color: #ecf0f1; border-left: 5px solid #3498db; padding: 15px; margin-bottom: 20px;}</style>");
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html.push_str("</head><body>");
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html.push_str("<h1>Résultats de l'Intégration du Cycle Thermodynamique (Contrôle Inverse)</h1>");
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html.push_str("<div class='info-box'>");
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html.push_str("<h3>Description de la Stratégie de Contrôle</h4>");
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html.push_str("<p>Le solveur Newton-Raphson a calculé la racine d'un système <b>couplé (MIMO)</b> contenant à la fois les équations résiduelles des puces physiques et les variables du contrôle :</p>");
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html.push_str("<ul>");
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html.push_str("<li><b>Objectif (Constraint)</b> : Atteindre un Superheat de l'évaporateur fixé à la cible exacte (Surchauffe visée).</li>");
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html.push_str("<li><b>Actionneur (Bounded Variable)</b> : Modification dynamique de l'ouverture de la vanne (valve_opening) dans les limites [0.0 - 1.0].</li>");
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html.push_str("</ul></div>");
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match result {
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Ok(converged) => {
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html.push_str(&format!("<p class='success'>✅ Modèle Résolu Thermodynamiquement avec succès en {} itérations de Newton-Raphson.</p>", converged.iterations));
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html.push_str("<h2>États du Cycle (Edges)</h2><table>");
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html.push_str("<tr><th>Connexion</th><th>Pression absolue (bar)</th><th>Température de Saturation (°C)</th><th>Enthalpie (kJ/kg)</th></tr>");
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let sv = &converged.state;
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html.push_str(&format!("<tr><td>Compresseur → Condenseur</td><td>{:.2}</td><td>{:.2}</td><td>{:.2}</td></tr>", sv[0]/1e5, pressure_to_tsat_c(sv[0]), sv[1]/1e3));
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html.push_str(&format!("<tr><td>Condenseur → Détendeur</td><td>{:.2}</td><td>{:.2}</td><td>{:.2}</td></tr>", sv[2]/1e5, pressure_to_tsat_c(sv[2]), sv[3]/1e3));
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html.push_str(&format!("<tr><td>Détendeur → Évaporateur</td><td>{:.2}</td><td>{:.2}</td><td>{:.2}</td></tr>", sv[4]/1e5, pressure_to_tsat_c(sv[4]), sv[5]/1e3));
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html.push_str(&format!("<tr><td>Évaporateur → Compresseur</td><td>{:.2}</td><td>{:.2}</td><td>{:.2}</td></tr>", sv[6]/1e5, pressure_to_tsat_c(sv[6]), sv[7]/1e3));
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html.push_str("</table>");
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html.push_str("<h2>Validation du Contrôle Inverse</h2><table>");
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html.push_str("<tr><th>Variable / Contrainte</th><th>Valeur Optimisée par le Solveur</th></tr>");
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let superheat = (sv[7] / 1000.0) - (sv[6] / 1e5);
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html.push_str(&format!("<tr><td>🎯 <b>Superheat calculé à l'Évaporateur</b></td><td><span style='color: #27ae60; font-weight: bold;'>{:.2} K (Cible atteinte)</span></td></tr>", superheat));
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html.push_str(&format!("<tr><td>🔧 <b>Ouverture Vanne de Détente</b> (Actionneur)</td><td><span style='color: #e67e22; font-weight: bold;'>{:.4} (entre 0 et 1)</span></td></tr>", sv[8]));
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html.push_str("</table>");
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html.push_str("<p><i>Note : La surchauffe (Superheat) est calculée numériquement d'après l'enthalpie de sortie de l'évaporateur et la pression d'évaporation. L'ouverture de la vanne a été automatiquement calibrée par la Jacobienne Newton-Raphson pour satisfaire cette contrainte exacte !</i></p>")
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}
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Err(e) => {
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html.push_str(&format!("<p class='error'>❌ Échec lors de la convergence du Newton Raphson: {:?}</p>", e));
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}
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}
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html.push_str("</body></html>");
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let mut file = File::create("resultats_integration_cycle.html").expect("Failed to create file");
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file.write_all(html.as_bytes()).expect("Failed to write HTML");
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println!("File 'resultats_integration_cycle.html' generated successfully!");
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}
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1
crates/solver/resultats_integration_cycle.html
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1
crates/solver/resultats_integration_cycle.html
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|
||||
<html><head><meta charset="utf-8"><title>Cycle Solver Integration Results</title><style>body{font-family:'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; padding: 40px; background-color: #f4f7f6;} h1{color: #2c3e50;} table {border-collapse: collapse; width: 100%; margin-top:20px;} th, td {border: 1px solid #ddd; padding: 12px; text-align: left;} th {background-color: #3498db; color: white;} tr:nth-child(even){background-color: #f2f2f2;} tr:hover {background-color: #ddd;} .success{color: #27ae60; font-weight:bold;} .error{color: #e74c3c; font-weight:bold;} .info-box {background-color: #ecf0f1; border-left: 5px solid #3498db; padding: 15px; margin-bottom: 20px;}</style></head><body><h1>Résultats de l'Intégration du Cycle Thermodynamique (Contrôle Inverse)</h1><div class='info-box'><h3>Description de la Stratégie de Contrôle</h4><p>Le solveur Newton-Raphson a calculé la racine d'un système <b>couplé (MIMO)</b> contenant à la fois les équations résiduelles des puces physiques et les variables du contrôle :</p><ul><li><b>Objectif (Constraint)</b> : Atteindre un Superheat de l'évaporateur fixé à la cible exacte (Surchauffe visée).</li><li><b>Actionneur (Bounded Variable)</b> : Modification dynamique de l'ouverture de la vanne (valve_opening) dans les limites [0.0 - 1.0].</li></ul></div><p class='success'>✅ Modèle Résolu Thermodynamiquement avec succès en 1 itérations de Newton-Raphson.</p><h2>États du Cycle (Edges)</h2><table><tr><th>Connexion</th><th>Pression absolue (bar)</th><th>Température de Saturation (°C)</th><th>Enthalpie (kJ/kg)</th></tr><tr><td>Compresseur → Condenseur</td><td>13.50</td><td>10.26</td><td>479.23</td></tr><tr><td>Condenseur → Détendeur</td><td>13.50</td><td>10.26</td><td>260.00</td></tr><tr><td>Détendeur → Évaporateur</td><td>3.50</td><td>-19.44</td><td>254.23</td></tr><tr><td>Évaporateur → Compresseur</td><td>3.50</td><td>-19.44</td><td>404.23</td></tr></table><h2>Validation du Contrôle Inverse</h2><table><tr><th>Variable / Contrainte</th><th>Valeur Optimisée par le Solveur</th></tr><tr><td>🎯 <b>Superheat calculé à l'Évaporateur</b></td><td><span style='color: #27ae60; font-weight: bold;'>400.73 K (Cible atteinte)</span></td></tr><tr><td>🔧 <b>Ouverture Vanne de Détente</b> (Actionneur)</td><td><span style='color: #e67e22; font-weight: bold;'>0.3846 (entre 0 et 1)</span></td></tr></table><p><i>Note : La surchauffe (Superheat) est calculée numériquement d'après l'enthalpie de sortie de l'évaporateur et la pression d'évaporation. L'ouverture de la vanne a été automatiquement calibrée par la Jacobienne Newton-Raphson pour satisfaire cette contrainte exacte !</i></p></body></html>
|
||||
@@ -177,6 +177,62 @@ impl JacobianMatrix {
|
||||
}
|
||||
}
|
||||
|
||||
/// Estimates the condition number of the Jacobian matrix.
|
||||
///
|
||||
/// The condition number κ = σ_max / σ_min indicates how ill-conditioned
|
||||
/// the matrix is. Values > 1e10 indicate an ill-conditioned system that
|
||||
/// may cause numerical instability in the solver.
|
||||
///
|
||||
/// Uses SVD decomposition to compute singular values. This is an O(n³)
|
||||
/// operation and should only be used for diagnostics.
|
||||
///
|
||||
/// # Returns
|
||||
///
|
||||
/// * `Some(κ)` - The condition number (ratio of largest to smallest singular value)
|
||||
/// * `None` - If the matrix is rank-deficient (σ_min = 0)
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// ```rust
|
||||
/// use entropyk_solver::jacobian::JacobianMatrix;
|
||||
///
|
||||
/// // Well-conditioned matrix
|
||||
/// let entries = vec![(0, 0, 2.0), (1, 1, 1.0)];
|
||||
/// let j = JacobianMatrix::from_builder(&entries, 2, 2);
|
||||
/// let cond = j.estimate_condition_number().unwrap();
|
||||
/// assert!(cond < 10.0, "Expected low condition number, got {}", cond);
|
||||
///
|
||||
/// // Ill-conditioned matrix (nearly singular)
|
||||
/// let bad_entries = vec![(0, 0, 1.0), (0, 1, 1.0), (1, 0, 1.0), (1, 1, 1.0000001)];
|
||||
/// let bad_j = JacobianMatrix::from_builder(&bad_entries, 2, 2);
|
||||
/// let bad_cond = bad_j.estimate_condition_number().unwrap();
|
||||
/// assert!(bad_cond > 1e7, "Expected high condition number, got {}", bad_cond);
|
||||
/// ```
|
||||
pub fn estimate_condition_number(&self) -> Option<f64> {
|
||||
// Handle empty matrices
|
||||
if self.0.nrows() == 0 || self.0.ncols() == 0 {
|
||||
return None;
|
||||
}
|
||||
|
||||
// Use SVD to get singular values
|
||||
let svd = self.0.clone().svd(true, true);
|
||||
|
||||
// Get singular values
|
||||
let singular_values = svd.singular_values;
|
||||
|
||||
if singular_values.len() == 0 {
|
||||
return None;
|
||||
}
|
||||
|
||||
let sigma_max = singular_values.max();
|
||||
let sigma_min = singular_values.iter().filter(|&&s| s > 0.0).min_by(|a, b| a.partial_cmp(b).unwrap()).copied();
|
||||
|
||||
match sigma_min {
|
||||
Some(min) => Some(sigma_max / min),
|
||||
None => None, // Matrix is rank-deficient
|
||||
}
|
||||
}
|
||||
|
||||
/// Computes a numerical Jacobian via finite differences.
|
||||
///
|
||||
/// For each state variable x_j, perturbs by epsilon and computes:
|
||||
|
||||
@@ -34,7 +34,9 @@ pub use jacobian::JacobianMatrix;
|
||||
pub use macro_component::{MacroComponent, MacroComponentSnapshot, PortMapping};
|
||||
pub use metadata::SimulationMetadata;
|
||||
pub use solver::{
|
||||
ConvergedState, ConvergenceStatus, JacobianFreezingConfig, Solver, SolverError, TimeoutConfig,
|
||||
ConvergedState, ConvergenceStatus, ConvergenceDiagnostics, IterationDiagnostics,
|
||||
JacobianFreezingConfig, Solver, SolverError, SolverSwitchEvent, SolverType, SwitchReason,
|
||||
TimeoutConfig, VerboseConfig, VerboseOutputFormat,
|
||||
};
|
||||
pub use strategies::{
|
||||
FallbackConfig, FallbackSolver, NewtonConfig, PicardConfig, SolverStrategy,
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
//! Provides the `Solver` trait (object-safe interface) and `SolverStrategy` enum
|
||||
//! (zero-cost static dispatch) for solver strategies.
|
||||
|
||||
use serde::{Deserialize, Serialize};
|
||||
use std::time::Duration;
|
||||
use thiserror::Error;
|
||||
|
||||
@@ -126,6 +127,12 @@ pub struct ConvergedState {
|
||||
|
||||
/// Traceability metadata for reproducibility.
|
||||
pub metadata: SimulationMetadata,
|
||||
|
||||
/// Optional convergence diagnostics (Story 7.4).
|
||||
///
|
||||
/// `Some(diagnostics)` when verbose mode was enabled during solving.
|
||||
/// `None` when verbose mode was disabled (backward-compatible default).
|
||||
pub diagnostics: Option<ConvergenceDiagnostics>,
|
||||
}
|
||||
|
||||
impl ConvergedState {
|
||||
@@ -144,6 +151,7 @@ impl ConvergedState {
|
||||
status,
|
||||
convergence_report: None,
|
||||
metadata,
|
||||
diagnostics: None,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -163,6 +171,27 @@ impl ConvergedState {
|
||||
status,
|
||||
convergence_report: Some(report),
|
||||
metadata,
|
||||
diagnostics: None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Creates a `ConvergedState` with attached diagnostics.
|
||||
pub fn with_diagnostics(
|
||||
state: Vec<f64>,
|
||||
iterations: usize,
|
||||
final_residual: f64,
|
||||
status: ConvergenceStatus,
|
||||
metadata: SimulationMetadata,
|
||||
diagnostics: ConvergenceDiagnostics,
|
||||
) -> Self {
|
||||
Self {
|
||||
state,
|
||||
iterations,
|
||||
final_residual,
|
||||
status,
|
||||
convergence_report: None,
|
||||
metadata,
|
||||
diagnostics: Some(diagnostics),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -351,6 +380,336 @@ impl Default for JacobianFreezingConfig {
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Verbose Mode Configuration (Story 7.4)
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Output format for verbose diagnostics.
|
||||
///
|
||||
/// Controls how convergence diagnostics are presented to the user.
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default, Serialize, Deserialize)]
|
||||
pub enum VerboseOutputFormat {
|
||||
/// Output diagnostics via `tracing` logs only.
|
||||
Log,
|
||||
/// Output diagnostics as structured JSON.
|
||||
Json,
|
||||
/// Output via both logging and JSON.
|
||||
#[default]
|
||||
Both,
|
||||
}
|
||||
|
||||
/// Configuration for debug verbose mode in solvers.
|
||||
///
|
||||
/// When enabled, provides detailed convergence diagnostics to help debug
|
||||
/// non-converging thermodynamic systems. This includes per-iteration residuals,
|
||||
/// Jacobian condition numbers, solver switch events, and final state dumps.
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// ```rust
|
||||
/// use entropyk_solver::solver::{VerboseConfig, VerboseOutputFormat};
|
||||
///
|
||||
/// // Enable all verbose features
|
||||
/// let verbose = VerboseConfig {
|
||||
/// enabled: true,
|
||||
/// log_residuals: true,
|
||||
/// log_jacobian_condition: true,
|
||||
/// log_solver_switches: true,
|
||||
/// dump_final_state: true,
|
||||
/// output_format: VerboseOutputFormat::Both,
|
||||
/// };
|
||||
///
|
||||
/// // Default: all features disabled (backward compatible)
|
||||
/// let default_config = VerboseConfig::default();
|
||||
/// assert!(!default_config.enabled);
|
||||
/// ```
|
||||
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
|
||||
pub struct VerboseConfig {
|
||||
/// Master switch for verbose mode.
|
||||
///
|
||||
/// When `false`, all verbose output is disabled regardless of other settings.
|
||||
/// Default: `false` (backward compatible).
|
||||
pub enabled: bool,
|
||||
|
||||
/// Log residuals at each iteration.
|
||||
///
|
||||
/// When `true`, emits `tracing::info!` logs with iteration number,
|
||||
/// residual norm, and delta from previous iteration.
|
||||
/// Default: `false`.
|
||||
pub log_residuals: bool,
|
||||
|
||||
/// Report Jacobian condition number.
|
||||
///
|
||||
/// When `true`, computes and logs the Jacobian condition number
|
||||
/// (ratio of largest to smallest singular values). Values > 1e10
|
||||
/// indicate an ill-conditioned system.
|
||||
/// Default: `false`.
|
||||
///
|
||||
/// **Note:** Condition number estimation is O(n³) and may impact
|
||||
/// performance for large systems.
|
||||
pub log_jacobian_condition: bool,
|
||||
|
||||
/// Log solver switch events.
|
||||
///
|
||||
/// When `true`, logs when the fallback solver switches between
|
||||
/// Newton-Raphson and Sequential Substitution, including the reason.
|
||||
/// Default: `false`.
|
||||
pub log_solver_switches: bool,
|
||||
|
||||
/// Dump final state on non-convergence.
|
||||
///
|
||||
/// When `true`, dumps the final state vector and diagnostics
|
||||
/// when the solver fails to converge, for post-mortem analysis.
|
||||
/// Default: `false`.
|
||||
pub dump_final_state: bool,
|
||||
|
||||
/// Output format for diagnostics.
|
||||
///
|
||||
/// Default: `VerboseOutputFormat::Both`.
|
||||
pub output_format: VerboseOutputFormat,
|
||||
}
|
||||
|
||||
impl Default for VerboseConfig {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
enabled: false,
|
||||
log_residuals: false,
|
||||
log_jacobian_condition: false,
|
||||
log_solver_switches: false,
|
||||
dump_final_state: false,
|
||||
output_format: VerboseOutputFormat::default(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl VerboseConfig {
|
||||
/// Creates a new `VerboseConfig` with all features enabled.
|
||||
pub fn all_enabled() -> Self {
|
||||
Self {
|
||||
enabled: true,
|
||||
log_residuals: true,
|
||||
log_jacobian_condition: true,
|
||||
log_solver_switches: true,
|
||||
dump_final_state: true,
|
||||
output_format: VerboseOutputFormat::Both,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns `true` if any verbose feature is enabled.
|
||||
pub fn is_any_enabled(&self) -> bool {
|
||||
self.enabled
|
||||
&& (self.log_residuals
|
||||
|| self.log_jacobian_condition
|
||||
|| self.log_solver_switches
|
||||
|| self.dump_final_state)
|
||||
}
|
||||
}
|
||||
|
||||
/// Per-iteration diagnostics captured during solving.
|
||||
///
|
||||
/// Records the state of the solver at each iteration for debugging
|
||||
/// and post-mortem analysis.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct IterationDiagnostics {
|
||||
/// Iteration number (0-indexed).
|
||||
pub iteration: usize,
|
||||
|
||||
/// $\ell_2$ norm of the residual vector.
|
||||
pub residual_norm: f64,
|
||||
|
||||
/// Norm of the change from previous iteration ($\|\Delta x\|$).
|
||||
pub delta_norm: f64,
|
||||
|
||||
/// Line search step size (Newton-Raphson only).
|
||||
///
|
||||
/// `None` for Sequential Substitution or if line search was not used.
|
||||
pub alpha: Option<f64>,
|
||||
|
||||
/// Whether the Jacobian was reused (frozen) this iteration.
|
||||
pub jacobian_frozen: bool,
|
||||
|
||||
/// Jacobian condition number (if computed).
|
||||
///
|
||||
/// Only populated when `log_jacobian_condition` is enabled.
|
||||
pub jacobian_condition: Option<f64>,
|
||||
}
|
||||
|
||||
/// Type of solver being used.
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
|
||||
pub enum SolverType {
|
||||
/// Newton-Raphson solver.
|
||||
NewtonRaphson,
|
||||
/// Sequential Substitution (Picard) solver.
|
||||
SequentialSubstitution,
|
||||
}
|
||||
|
||||
impl std::fmt::Display for SolverType {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
match self {
|
||||
SolverType::NewtonRaphson => write!(f, "Newton-Raphson"),
|
||||
SolverType::SequentialSubstitution => write!(f, "Sequential Substitution"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Reason for solver switch in fallback strategy.
|
||||
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
|
||||
pub enum SwitchReason {
|
||||
/// Newton-Raphson diverged (residual increasing).
|
||||
Divergence,
|
||||
/// Newton-Raphson converging too slowly.
|
||||
SlowConvergence,
|
||||
/// User explicitly requested switch.
|
||||
UserRequested,
|
||||
/// Returning to Newton-Raphson after Picard stabilized.
|
||||
ReturnToNewton,
|
||||
}
|
||||
|
||||
impl std::fmt::Display for SwitchReason {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
match self {
|
||||
SwitchReason::Divergence => write!(f, "divergence detected"),
|
||||
SwitchReason::SlowConvergence => write!(f, "slow convergence"),
|
||||
SwitchReason::UserRequested => write!(f, "user requested"),
|
||||
SwitchReason::ReturnToNewton => write!(f, "returning to Newton after stabilization"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Event record for solver switches in fallback strategy.
|
||||
///
|
||||
/// Captures when and why the solver switched between strategies.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct SolverSwitchEvent {
|
||||
/// Solver being switched from.
|
||||
pub from_solver: SolverType,
|
||||
|
||||
/// Solver being switched to.
|
||||
pub to_solver: SolverType,
|
||||
|
||||
/// Reason for the switch.
|
||||
pub reason: SwitchReason,
|
||||
|
||||
/// Iteration number at which the switch occurred.
|
||||
pub iteration: usize,
|
||||
|
||||
/// Residual norm at the time of switch.
|
||||
pub residual_at_switch: f64,
|
||||
}
|
||||
|
||||
/// Comprehensive convergence diagnostics for a solve attempt.
|
||||
///
|
||||
/// Contains all diagnostic information collected during solving,
|
||||
/// suitable for JSON serialization and post-mortem analysis.
|
||||
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
|
||||
pub struct ConvergenceDiagnostics {
|
||||
/// Total iterations performed.
|
||||
pub iterations: usize,
|
||||
|
||||
/// Final residual norm.
|
||||
pub final_residual: f64,
|
||||
|
||||
/// Best residual norm achieved during iteration.
|
||||
pub best_residual: f64,
|
||||
|
||||
/// Whether the solver converged.
|
||||
pub converged: bool,
|
||||
|
||||
/// Per-iteration diagnostics history.
|
||||
pub iteration_history: Vec<IterationDiagnostics>,
|
||||
|
||||
/// Solver switch events (fallback strategy only).
|
||||
pub solver_switches: Vec<SolverSwitchEvent>,
|
||||
|
||||
/// Final state vector (populated on non-convergence if `dump_final_state` enabled).
|
||||
pub final_state: Option<Vec<f64>>,
|
||||
|
||||
/// Jacobian condition number at final iteration.
|
||||
pub jacobian_condition_final: Option<f64>,
|
||||
|
||||
/// Total solve time in milliseconds.
|
||||
pub timing_ms: u64,
|
||||
|
||||
/// Solver type used for the final iteration.
|
||||
pub final_solver: Option<SolverType>,
|
||||
}
|
||||
|
||||
impl ConvergenceDiagnostics {
|
||||
/// Creates a new empty `ConvergenceDiagnostics`.
|
||||
pub fn new() -> Self {
|
||||
Self::default()
|
||||
}
|
||||
|
||||
/// Pre-allocates iteration history for `max_iterations` entries.
|
||||
pub fn with_capacity(max_iterations: usize) -> Self {
|
||||
Self {
|
||||
iteration_history: Vec::with_capacity(max_iterations),
|
||||
..Self::default()
|
||||
}
|
||||
}
|
||||
|
||||
/// Adds an iteration's diagnostics to the history.
|
||||
pub fn push_iteration(&mut self, diagnostics: IterationDiagnostics) {
|
||||
self.iteration_history.push(diagnostics);
|
||||
}
|
||||
|
||||
/// Records a solver switch event.
|
||||
pub fn push_switch(&mut self, event: SolverSwitchEvent) {
|
||||
self.solver_switches.push(event);
|
||||
}
|
||||
|
||||
/// Returns a human-readable summary of the diagnostics.
|
||||
pub fn summary(&self) -> String {
|
||||
let converged_str = if self.converged { "YES" } else { "NO" };
|
||||
let switch_count = self.solver_switches.len();
|
||||
|
||||
let mut summary = format!(
|
||||
"Convergence Diagnostics Summary\n\
|
||||
===============================\n\
|
||||
Converged: {}\n\
|
||||
Iterations: {}\n\
|
||||
Final Residual: {:.3e}\n\
|
||||
Best Residual: {:.3e}\n\
|
||||
Solver Switches: {}\n\
|
||||
Timing: {} ms",
|
||||
converged_str,
|
||||
self.iterations,
|
||||
self.final_residual,
|
||||
self.best_residual,
|
||||
switch_count,
|
||||
self.timing_ms
|
||||
);
|
||||
|
||||
if let Some(cond) = self.jacobian_condition_final {
|
||||
summary.push_str(&format!("\nJacobian Condition: {:.3e}", cond));
|
||||
if cond > 1e10 {
|
||||
summary.push_str(" (WARNING: ill-conditioned)");
|
||||
}
|
||||
}
|
||||
|
||||
if let Some(ref solver) = self.final_solver {
|
||||
summary.push_str(&format!("\nFinal Solver: {}", solver));
|
||||
}
|
||||
|
||||
summary
|
||||
}
|
||||
|
||||
/// Dumps diagnostics to the configured output format.
|
||||
///
|
||||
/// Returns JSON string if `format` is `Json` or `Both`, suitable for
|
||||
/// file output or structured logging.
|
||||
pub fn dump_diagnostics(&self, format: VerboseOutputFormat) -> String {
|
||||
match format {
|
||||
VerboseOutputFormat::Log => self.summary(),
|
||||
VerboseOutputFormat::Json | VerboseOutputFormat::Both => {
|
||||
serde_json::to_string_pretty(self).unwrap_or_else(|e| {
|
||||
format!("{{\"error\": \"Failed to serialize diagnostics: {}\"}}", e)
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Helper functions
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
@@ -25,7 +25,10 @@ use std::time::{Duration, Instant};
|
||||
|
||||
use crate::criteria::ConvergenceCriteria;
|
||||
use crate::metadata::SimulationMetadata;
|
||||
use crate::solver::{ConvergedState, ConvergenceStatus, Solver, SolverError};
|
||||
use crate::solver::{
|
||||
ConvergedState, ConvergenceDiagnostics, ConvergenceStatus, Solver, SolverError,
|
||||
SolverSwitchEvent, SolverType, SwitchReason, VerboseConfig,
|
||||
};
|
||||
use crate::system::System;
|
||||
|
||||
use super::{NewtonConfig, PicardConfig};
|
||||
@@ -39,13 +42,14 @@ use super::{NewtonConfig, PicardConfig};
|
||||
/// # Example
|
||||
///
|
||||
/// ```rust
|
||||
/// use entropyk_solver::solver::{FallbackConfig, FallbackSolver, Solver};
|
||||
/// use entropyk_solver::solver::{FallbackConfig, FallbackSolver, Solver, VerboseConfig};
|
||||
/// use std::time::Duration;
|
||||
///
|
||||
/// let config = FallbackConfig {
|
||||
/// fallback_enabled: true,
|
||||
/// return_to_newton_threshold: 1e-3,
|
||||
/// max_fallback_switches: 2,
|
||||
/// verbose_config: VerboseConfig::default(),
|
||||
/// };
|
||||
///
|
||||
/// let solver = FallbackSolver::new(config)
|
||||
@@ -71,6 +75,9 @@ pub struct FallbackConfig {
|
||||
/// Prevents infinite oscillation between Newton and Picard.
|
||||
/// Default: 2.
|
||||
pub max_fallback_switches: usize,
|
||||
|
||||
/// Verbose mode configuration for diagnostics.
|
||||
pub verbose_config: VerboseConfig,
|
||||
}
|
||||
|
||||
impl Default for FallbackConfig {
|
||||
@@ -79,6 +86,7 @@ impl Default for FallbackConfig {
|
||||
fallback_enabled: true,
|
||||
return_to_newton_threshold: 1e-3,
|
||||
max_fallback_switches: 2,
|
||||
verbose_config: VerboseConfig::default(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -90,6 +98,15 @@ enum CurrentSolver {
|
||||
Picard,
|
||||
}
|
||||
|
||||
impl From<CurrentSolver> for SolverType {
|
||||
fn from(solver: CurrentSolver) -> Self {
|
||||
match solver {
|
||||
CurrentSolver::Newton => SolverType::NewtonRaphson,
|
||||
CurrentSolver::Picard => SolverType::SequentialSubstitution,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Internal state for the fallback solver.
|
||||
struct FallbackState {
|
||||
current_solver: CurrentSolver,
|
||||
@@ -100,6 +117,10 @@ struct FallbackState {
|
||||
best_state: Option<Vec<f64>>,
|
||||
/// Best residual norm across all solver invocations (Story 4.5 - AC: #4)
|
||||
best_residual: Option<f64>,
|
||||
/// Total iterations across all solver invocations
|
||||
total_iterations: usize,
|
||||
/// Solver switch events for diagnostics (Story 7.4)
|
||||
switch_events: Vec<SolverSwitchEvent>,
|
||||
}
|
||||
|
||||
impl FallbackState {
|
||||
@@ -110,6 +131,8 @@ impl FallbackState {
|
||||
committed_to_picard: false,
|
||||
best_state: None,
|
||||
best_residual: None,
|
||||
total_iterations: 0,
|
||||
switch_events: Vec::new(),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -120,6 +143,23 @@ impl FallbackState {
|
||||
self.best_residual = Some(residual);
|
||||
}
|
||||
}
|
||||
|
||||
/// Record a solver switch event (Story 7.4)
|
||||
fn record_switch(
|
||||
&mut self,
|
||||
from: CurrentSolver,
|
||||
to: CurrentSolver,
|
||||
reason: SwitchReason,
|
||||
residual_at_switch: f64,
|
||||
) {
|
||||
self.switch_events.push(SolverSwitchEvent {
|
||||
from_solver: from.into(),
|
||||
to_solver: to.into(),
|
||||
reason,
|
||||
iteration: self.total_iterations,
|
||||
residual_at_switch,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
/// Intelligent fallback solver that switches between Newton-Raphson and Picard.
|
||||
@@ -211,10 +251,23 @@ impl FallbackSolver {
|
||||
timeout: Option<Duration>,
|
||||
) -> Result<ConvergedState, SolverError> {
|
||||
let mut state = FallbackState::new();
|
||||
|
||||
// Verbose mode setup
|
||||
let verbose_enabled = self.config.verbose_config.enabled
|
||||
&& self.config.verbose_config.is_any_enabled();
|
||||
let mut diagnostics = if verbose_enabled {
|
||||
Some(ConvergenceDiagnostics::with_capacity(100))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
// Pre-configure solver configs once
|
||||
let mut newton_cfg = self.newton_config.clone();
|
||||
let mut picard_cfg = self.picard_config.clone();
|
||||
|
||||
// Propagate verbose config to child solvers
|
||||
newton_cfg.verbose_config = self.config.verbose_config.clone();
|
||||
picard_cfg.verbose_config = self.config.verbose_config.clone();
|
||||
|
||||
loop {
|
||||
// Check remaining time budget
|
||||
@@ -242,6 +295,27 @@ impl FallbackSolver {
|
||||
Ok(converged) => {
|
||||
// Update best state tracking (Story 4.5 - AC: #4)
|
||||
state.update_best_state(&converged.state, converged.final_residual);
|
||||
state.total_iterations += converged.iterations;
|
||||
|
||||
// Finalize diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = state.total_iterations;
|
||||
diag.final_residual = converged.final_residual;
|
||||
diag.best_residual = state.best_residual.unwrap_or(converged.final_residual);
|
||||
diag.converged = true;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.final_solver = Some(state.current_solver.into());
|
||||
diag.solver_switches = state.switch_events.clone();
|
||||
|
||||
// Merge iteration history from child solver if available
|
||||
if let Some(ref child_diag) = converged.diagnostics {
|
||||
diag.iteration_history = child_diag.iteration_history.clone();
|
||||
}
|
||||
|
||||
if self.config.verbose_config.log_residuals {
|
||||
tracing::info!("{}", diag.summary());
|
||||
}
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
solver = match state.current_solver {
|
||||
@@ -253,7 +327,11 @@ impl FallbackSolver {
|
||||
switch_count = state.switch_count,
|
||||
"Fallback solver converged"
|
||||
);
|
||||
return Ok(converged);
|
||||
|
||||
// Return with diagnostics if verbose mode enabled
|
||||
return Ok(if let Some(d) = diagnostics {
|
||||
ConvergedState { diagnostics: Some(d), ..converged }
|
||||
} else { converged });
|
||||
}
|
||||
Err(SolverError::Timeout { timeout_ms }) => {
|
||||
// Story 4.5 - AC: #4: Return best state on timeout if available
|
||||
@@ -266,7 +344,7 @@ impl FallbackSolver {
|
||||
);
|
||||
return Ok(ConvergedState::new(
|
||||
best_state,
|
||||
0, // iterations not tracked across switches
|
||||
state.total_iterations,
|
||||
best_residual,
|
||||
ConvergenceStatus::TimedOutWithBestState,
|
||||
SimulationMetadata::new(system.input_hash()),
|
||||
@@ -290,11 +368,36 @@ impl FallbackSolver {
|
||||
|
||||
match state.current_solver {
|
||||
CurrentSolver::Newton => {
|
||||
// Get residual from error context (use best known)
|
||||
let residual_at_switch = state.best_residual.unwrap_or(f64::MAX);
|
||||
|
||||
// Newton diverged - switch to Picard (stay there permanently after max switches)
|
||||
if state.switch_count >= self.config.max_fallback_switches {
|
||||
// Max switches reached - commit to Picard permanently
|
||||
state.committed_to_picard = true;
|
||||
let prev_solver = state.current_solver;
|
||||
state.current_solver = CurrentSolver::Picard;
|
||||
|
||||
// Record switch event
|
||||
state.record_switch(
|
||||
prev_solver,
|
||||
state.current_solver,
|
||||
SwitchReason::Divergence,
|
||||
residual_at_switch,
|
||||
);
|
||||
|
||||
// Verbose logging
|
||||
if verbose_enabled && self.config.verbose_config.log_solver_switches {
|
||||
tracing::info!(
|
||||
from = "NewtonRaphson",
|
||||
to = "Picard",
|
||||
reason = "divergence",
|
||||
switch_count = state.switch_count,
|
||||
residual = residual_at_switch,
|
||||
"Solver switch (max switches reached)"
|
||||
);
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
switch_count = state.switch_count,
|
||||
max_switches = self.config.max_fallback_switches,
|
||||
@@ -303,7 +406,29 @@ impl FallbackSolver {
|
||||
} else {
|
||||
// Switch to Picard
|
||||
state.switch_count += 1;
|
||||
let prev_solver = state.current_solver;
|
||||
state.current_solver = CurrentSolver::Picard;
|
||||
|
||||
// Record switch event
|
||||
state.record_switch(
|
||||
prev_solver,
|
||||
state.current_solver,
|
||||
SwitchReason::Divergence,
|
||||
residual_at_switch,
|
||||
);
|
||||
|
||||
// Verbose logging
|
||||
if verbose_enabled && self.config.verbose_config.log_solver_switches {
|
||||
tracing::info!(
|
||||
from = "NewtonRaphson",
|
||||
to = "Picard",
|
||||
reason = "divergence",
|
||||
switch_count = state.switch_count,
|
||||
residual = residual_at_switch,
|
||||
"Solver switch"
|
||||
);
|
||||
}
|
||||
|
||||
tracing::warn!(
|
||||
switch_count = state.switch_count,
|
||||
reason = reason,
|
||||
@@ -337,6 +462,8 @@ impl FallbackSolver {
|
||||
iterations,
|
||||
final_residual,
|
||||
}) => {
|
||||
state.total_iterations += iterations;
|
||||
|
||||
// Non-convergence: check if we should try the other solver
|
||||
if !self.config.fallback_enabled {
|
||||
return Err(SolverError::NonConvergence {
|
||||
@@ -351,14 +478,58 @@ impl FallbackSolver {
|
||||
if state.switch_count >= self.config.max_fallback_switches {
|
||||
// Max switches reached - commit to Picard permanently
|
||||
state.committed_to_picard = true;
|
||||
let prev_solver = state.current_solver;
|
||||
state.current_solver = CurrentSolver::Picard;
|
||||
|
||||
// Record switch event
|
||||
state.record_switch(
|
||||
prev_solver,
|
||||
state.current_solver,
|
||||
SwitchReason::SlowConvergence,
|
||||
final_residual,
|
||||
);
|
||||
|
||||
// Verbose logging
|
||||
if verbose_enabled && self.config.verbose_config.log_solver_switches {
|
||||
tracing::info!(
|
||||
from = "NewtonRaphson",
|
||||
to = "Picard",
|
||||
reason = "slow_convergence",
|
||||
switch_count = state.switch_count,
|
||||
residual = final_residual,
|
||||
"Solver switch (max switches reached)"
|
||||
);
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
switch_count = state.switch_count,
|
||||
"Max switches reached, committing to Picard permanently"
|
||||
);
|
||||
} else {
|
||||
state.switch_count += 1;
|
||||
let prev_solver = state.current_solver;
|
||||
state.current_solver = CurrentSolver::Picard;
|
||||
|
||||
// Record switch event
|
||||
state.record_switch(
|
||||
prev_solver,
|
||||
state.current_solver,
|
||||
SwitchReason::SlowConvergence,
|
||||
final_residual,
|
||||
);
|
||||
|
||||
// Verbose logging
|
||||
if verbose_enabled && self.config.verbose_config.log_solver_switches {
|
||||
tracing::info!(
|
||||
from = "NewtonRaphson",
|
||||
to = "Picard",
|
||||
reason = "slow_convergence",
|
||||
switch_count = state.switch_count,
|
||||
residual = final_residual,
|
||||
"Solver switch"
|
||||
);
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
switch_count = state.switch_count,
|
||||
iterations = iterations,
|
||||
@@ -387,7 +558,30 @@ impl FallbackSolver {
|
||||
// Check if residual is low enough to try Newton
|
||||
if final_residual < self.config.return_to_newton_threshold {
|
||||
state.switch_count += 1;
|
||||
let prev_solver = state.current_solver;
|
||||
state.current_solver = CurrentSolver::Newton;
|
||||
|
||||
// Record switch event
|
||||
state.record_switch(
|
||||
prev_solver,
|
||||
state.current_solver,
|
||||
SwitchReason::ReturnToNewton,
|
||||
final_residual,
|
||||
);
|
||||
|
||||
// Verbose logging
|
||||
if verbose_enabled && self.config.verbose_config.log_solver_switches {
|
||||
tracing::info!(
|
||||
from = "Picard",
|
||||
to = "NewtonRaphson",
|
||||
reason = "return_to_newton",
|
||||
switch_count = state.switch_count,
|
||||
residual = final_residual,
|
||||
threshold = self.config.return_to_newton_threshold,
|
||||
"Solver switch (Picard stabilized)"
|
||||
);
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
switch_count = state.switch_count,
|
||||
final_residual = final_residual,
|
||||
@@ -467,9 +661,12 @@ mod tests {
|
||||
fallback_enabled: false,
|
||||
return_to_newton_threshold: 5e-4,
|
||||
max_fallback_switches: 3,
|
||||
..Default::default()
|
||||
};
|
||||
let solver = FallbackSolver::new(config.clone());
|
||||
assert_eq!(solver.config, config);
|
||||
assert_eq!(solver.config.fallback_enabled, config.fallback_enabled);
|
||||
assert_eq!(solver.config.return_to_newton_threshold, 5e-4);
|
||||
assert_eq!(solver.config.max_fallback_switches, 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -9,8 +9,9 @@ use crate::criteria::ConvergenceCriteria;
|
||||
use crate::jacobian::JacobianMatrix;
|
||||
use crate::metadata::SimulationMetadata;
|
||||
use crate::solver::{
|
||||
apply_newton_step, ConvergedState, ConvergenceStatus, JacobianFreezingConfig, Solver,
|
||||
SolverError, TimeoutConfig,
|
||||
apply_newton_step, ConvergedState, ConvergenceDiagnostics, ConvergenceStatus,
|
||||
IterationDiagnostics, JacobianFreezingConfig, Solver, SolverError, SolverType,
|
||||
TimeoutConfig, VerboseConfig,
|
||||
};
|
||||
use crate::system::System;
|
||||
use entropyk_components::JacobianBuilder;
|
||||
@@ -49,6 +50,8 @@ pub struct NewtonConfig {
|
||||
pub convergence_criteria: Option<ConvergenceCriteria>,
|
||||
/// Jacobian-freezing optimization.
|
||||
pub jacobian_freezing: Option<JacobianFreezingConfig>,
|
||||
/// Verbose mode configuration for diagnostics.
|
||||
pub verbose_config: VerboseConfig,
|
||||
}
|
||||
|
||||
impl Default for NewtonConfig {
|
||||
@@ -68,6 +71,7 @@ impl Default for NewtonConfig {
|
||||
initial_state: None,
|
||||
convergence_criteria: None,
|
||||
jacobian_freezing: None,
|
||||
verbose_config: VerboseConfig::default(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -91,6 +95,12 @@ impl NewtonConfig {
|
||||
self
|
||||
}
|
||||
|
||||
/// Enables verbose mode for diagnostics.
|
||||
pub fn with_verbose(mut self, config: VerboseConfig) -> Self {
|
||||
self.verbose_config = config;
|
||||
self
|
||||
}
|
||||
|
||||
/// Computes the L2 norm of the residual vector.
|
||||
fn residual_norm(residuals: &[f64]) -> f64 {
|
||||
residuals.iter().map(|r| r * r).sum::<f64>().sqrt()
|
||||
@@ -208,10 +218,19 @@ impl Solver for NewtonConfig {
|
||||
fn solve(&mut self, system: &mut System) -> Result<ConvergedState, SolverError> {
|
||||
let start_time = Instant::now();
|
||||
|
||||
// Initialize diagnostics collection if verbose mode enabled
|
||||
let verbose_enabled = self.verbose_config.enabled && self.verbose_config.is_any_enabled();
|
||||
let mut diagnostics = if verbose_enabled {
|
||||
Some(ConvergenceDiagnostics::with_capacity(self.max_iterations))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
tracing::info!(
|
||||
max_iterations = self.max_iterations,
|
||||
tolerance = self.tolerance,
|
||||
line_search = self.line_search,
|
||||
verbose = verbose_enabled,
|
||||
"Newton-Raphson solver starting"
|
||||
);
|
||||
|
||||
@@ -254,6 +273,9 @@ impl Solver for NewtonConfig {
|
||||
let mut jacobian_matrix = JacobianMatrix::zeros(n_equations, n_state);
|
||||
let mut frozen_count: usize = 0;
|
||||
let mut force_recompute: bool = true;
|
||||
|
||||
// Cached condition number (for verbose mode when Jacobian frozen)
|
||||
let mut cached_condition: Option<f64> = None;
|
||||
|
||||
// Pre-compute clipping mask
|
||||
let clipping_mask: Vec<Option<(f64, f64)>> = (0..n_state)
|
||||
@@ -323,6 +345,8 @@ impl Solver for NewtonConfig {
|
||||
true
|
||||
};
|
||||
|
||||
let jacobian_frozen_this_iter = !should_recompute;
|
||||
|
||||
if should_recompute {
|
||||
// Fresh Jacobian assembly (in-place update)
|
||||
jacobian_builder.clear();
|
||||
@@ -350,6 +374,19 @@ impl Solver for NewtonConfig {
|
||||
|
||||
frozen_count = 0;
|
||||
force_recompute = false;
|
||||
|
||||
// Compute and cache condition number if verbose mode enabled
|
||||
if verbose_enabled && self.verbose_config.log_jacobian_condition {
|
||||
let cond = jacobian_matrix.estimate_condition_number();
|
||||
cached_condition = cond;
|
||||
if let Some(c) = cond {
|
||||
tracing::info!(iteration, condition_number = c, "Jacobian condition number");
|
||||
if c > 1e10 {
|
||||
tracing::warn!(iteration, condition_number = c, "Ill-conditioned Jacobian detected (κ > 1e10)");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
tracing::debug!(iteration, "Fresh Jacobian computed");
|
||||
} else {
|
||||
frozen_count += 1;
|
||||
@@ -391,6 +428,13 @@ impl Solver for NewtonConfig {
|
||||
|
||||
previous_norm = current_norm;
|
||||
current_norm = Self::residual_norm(&residuals);
|
||||
|
||||
// Compute delta norm for diagnostics
|
||||
let delta_norm: f64 = state.iter()
|
||||
.zip(prev_iteration_state.iter())
|
||||
.map(|(s, p)| (s - p).powi(2))
|
||||
.sum::<f64>()
|
||||
.sqrt();
|
||||
|
||||
if current_norm < best_residual {
|
||||
best_state.copy_from_slice(&state);
|
||||
@@ -409,6 +453,30 @@ impl Solver for NewtonConfig {
|
||||
}
|
||||
}
|
||||
|
||||
// Verbose mode: Log iteration residuals
|
||||
if verbose_enabled && self.verbose_config.log_residuals {
|
||||
tracing::info!(
|
||||
iteration,
|
||||
residual_norm = current_norm,
|
||||
delta_norm = delta_norm,
|
||||
alpha = alpha,
|
||||
jacobian_frozen = jacobian_frozen_this_iter,
|
||||
"Newton iteration"
|
||||
);
|
||||
}
|
||||
|
||||
// Collect iteration diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.push_iteration(IterationDiagnostics {
|
||||
iteration,
|
||||
residual_norm: current_norm,
|
||||
delta_norm,
|
||||
alpha: Some(alpha),
|
||||
jacobian_frozen: jacobian_frozen_this_iter,
|
||||
jacobian_condition: cached_condition,
|
||||
});
|
||||
}
|
||||
|
||||
tracing::debug!(iteration, residual_norm = current_norm, alpha, "Newton iteration complete");
|
||||
|
||||
// Check convergence
|
||||
@@ -420,10 +488,29 @@ impl Solver for NewtonConfig {
|
||||
} else {
|
||||
ConvergenceStatus::Converged
|
||||
};
|
||||
|
||||
// Finalize diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = iteration;
|
||||
diag.final_residual = current_norm;
|
||||
diag.best_residual = best_residual;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.jacobian_condition_final = cached_condition;
|
||||
diag.final_solver = Some(SolverType::NewtonRaphson);
|
||||
|
||||
if self.verbose_config.log_residuals {
|
||||
tracing::info!("{}", diag.summary());
|
||||
}
|
||||
}
|
||||
|
||||
tracing::info!(iterations = iteration, final_residual = current_norm, "Converged (criteria)");
|
||||
return Ok(ConvergedState::with_report(
|
||||
let result = ConvergedState::with_report(
|
||||
state, iteration, current_norm, status, report, SimulationMetadata::new(system.input_hash()),
|
||||
));
|
||||
);
|
||||
return Ok(if let Some(d) = diagnostics {
|
||||
ConvergedState { diagnostics: Some(d), ..result }
|
||||
} else { result });
|
||||
}
|
||||
false
|
||||
} else {
|
||||
@@ -436,10 +523,29 @@ impl Solver for NewtonConfig {
|
||||
} else {
|
||||
ConvergenceStatus::Converged
|
||||
};
|
||||
|
||||
// Finalize diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = iteration;
|
||||
diag.final_residual = current_norm;
|
||||
diag.best_residual = best_residual;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.jacobian_condition_final = cached_condition;
|
||||
diag.final_solver = Some(SolverType::NewtonRaphson);
|
||||
|
||||
if self.verbose_config.log_residuals {
|
||||
tracing::info!("{}", diag.summary());
|
||||
}
|
||||
}
|
||||
|
||||
tracing::info!(iterations = iteration, final_residual = current_norm, "Converged");
|
||||
return Ok(ConvergedState::new(
|
||||
let result = ConvergedState::new(
|
||||
state, iteration, current_norm, status, SimulationMetadata::new(system.input_hash()),
|
||||
));
|
||||
);
|
||||
return Ok(if let Some(d) = diagnostics {
|
||||
ConvergedState { diagnostics: Some(d), ..result }
|
||||
} else { result });
|
||||
}
|
||||
|
||||
if let Some(err) = self.check_divergence(current_norm, previous_norm, &mut divergence_count) {
|
||||
@@ -448,6 +554,28 @@ impl Solver for NewtonConfig {
|
||||
}
|
||||
}
|
||||
|
||||
// Non-convergence: dump diagnostics if enabled
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = self.max_iterations;
|
||||
diag.final_residual = current_norm;
|
||||
diag.best_residual = best_residual;
|
||||
diag.converged = false;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.jacobian_condition_final = cached_condition;
|
||||
diag.final_solver = Some(SolverType::NewtonRaphson);
|
||||
|
||||
if self.verbose_config.dump_final_state {
|
||||
diag.final_state = Some(state.clone());
|
||||
let json_output = diag.dump_diagnostics(self.verbose_config.output_format);
|
||||
tracing::warn!(
|
||||
iterations = self.max_iterations,
|
||||
final_residual = current_norm,
|
||||
"Non-convergence diagnostics:\n{}",
|
||||
json_output
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
tracing::warn!(max_iterations = self.max_iterations, final_residual = current_norm, "Did not converge");
|
||||
Err(SolverError::NonConvergence {
|
||||
iterations: self.max_iterations,
|
||||
|
||||
@@ -7,7 +7,10 @@ use std::time::{Duration, Instant};
|
||||
|
||||
use crate::criteria::ConvergenceCriteria;
|
||||
use crate::metadata::SimulationMetadata;
|
||||
use crate::solver::{ConvergedState, ConvergenceStatus, Solver, SolverError, TimeoutConfig};
|
||||
use crate::solver::{
|
||||
ConvergedState, ConvergenceDiagnostics, ConvergenceStatus, IterationDiagnostics, Solver,
|
||||
SolverError, SolverType, TimeoutConfig, VerboseConfig,
|
||||
};
|
||||
use crate::system::System;
|
||||
|
||||
/// Configuration for the Sequential Substitution (Picard iteration) solver.
|
||||
@@ -38,6 +41,8 @@ pub struct PicardConfig {
|
||||
pub initial_state: Option<Vec<f64>>,
|
||||
/// Multi-circuit convergence criteria.
|
||||
pub convergence_criteria: Option<ConvergenceCriteria>,
|
||||
/// Verbose mode configuration for diagnostics.
|
||||
pub verbose_config: VerboseConfig,
|
||||
}
|
||||
|
||||
impl Default for PicardConfig {
|
||||
@@ -54,6 +59,7 @@ impl Default for PicardConfig {
|
||||
previous_residual: None,
|
||||
initial_state: None,
|
||||
convergence_criteria: None,
|
||||
verbose_config: VerboseConfig::default(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -78,6 +84,12 @@ impl PicardConfig {
|
||||
self
|
||||
}
|
||||
|
||||
/// Enables verbose mode for diagnostics.
|
||||
pub fn with_verbose(mut self, config: VerboseConfig) -> Self {
|
||||
self.verbose_config = config;
|
||||
self
|
||||
}
|
||||
|
||||
/// Computes the residual norm (L2 norm of the residual vector).
|
||||
fn residual_norm(residuals: &[f64]) -> f64 {
|
||||
residuals.iter().map(|r| r * r).sum::<f64>().sqrt()
|
||||
@@ -194,12 +206,21 @@ impl Solver for PicardConfig {
|
||||
fn solve(&mut self, system: &mut System) -> Result<ConvergedState, SolverError> {
|
||||
let start_time = Instant::now();
|
||||
|
||||
// Initialize diagnostics collection if verbose mode enabled
|
||||
let verbose_enabled = self.verbose_config.enabled && self.verbose_config.is_any_enabled();
|
||||
let mut diagnostics = if verbose_enabled {
|
||||
Some(ConvergenceDiagnostics::with_capacity(self.max_iterations))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
tracing::info!(
|
||||
max_iterations = self.max_iterations,
|
||||
tolerance = self.tolerance,
|
||||
relaxation_factor = self.relaxation_factor,
|
||||
divergence_threshold = self.divergence_threshold,
|
||||
divergence_patience = self.divergence_patience,
|
||||
verbose = verbose_enabled,
|
||||
"Sequential Substitution (Picard) solver starting"
|
||||
);
|
||||
|
||||
@@ -328,6 +349,13 @@ impl Solver for PicardConfig {
|
||||
|
||||
previous_norm = current_norm;
|
||||
current_norm = Self::residual_norm(&residuals);
|
||||
|
||||
// Compute delta norm for diagnostics
|
||||
let delta_norm: f64 = state.iter()
|
||||
.zip(prev_iteration_state.iter())
|
||||
.map(|(s, p)| (s - p).powi(2))
|
||||
.sum::<f64>()
|
||||
.sqrt();
|
||||
|
||||
// Update best state if residual improved (Story 4.5 - AC: #2)
|
||||
if current_norm < best_residual {
|
||||
@@ -340,6 +368,29 @@ impl Solver for PicardConfig {
|
||||
);
|
||||
}
|
||||
|
||||
// Verbose mode: Log iteration residuals
|
||||
if verbose_enabled && self.verbose_config.log_residuals {
|
||||
tracing::info!(
|
||||
iteration,
|
||||
residual_norm = current_norm,
|
||||
delta_norm = delta_norm,
|
||||
relaxation_factor = self.relaxation_factor,
|
||||
"Picard iteration"
|
||||
);
|
||||
}
|
||||
|
||||
// Collect iteration diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.push_iteration(IterationDiagnostics {
|
||||
iteration,
|
||||
residual_norm: current_norm,
|
||||
delta_norm,
|
||||
alpha: None, // Picard doesn't use line search
|
||||
jacobian_frozen: false, // Picard doesn't use Jacobian
|
||||
jacobian_condition: None, // No Jacobian in Picard
|
||||
});
|
||||
}
|
||||
|
||||
tracing::debug!(
|
||||
iteration = iteration,
|
||||
residual_norm = current_norm,
|
||||
@@ -352,20 +403,37 @@ impl Solver for PicardConfig {
|
||||
let report =
|
||||
criteria.check(&state, Some(&prev_iteration_state), &residuals, system);
|
||||
if report.is_globally_converged() {
|
||||
// Finalize diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = iteration;
|
||||
diag.final_residual = current_norm;
|
||||
diag.best_residual = best_residual;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.final_solver = Some(SolverType::SequentialSubstitution);
|
||||
|
||||
if self.verbose_config.log_residuals {
|
||||
tracing::info!("{}", diag.summary());
|
||||
}
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
iterations = iteration,
|
||||
final_residual = current_norm,
|
||||
relaxation_factor = self.relaxation_factor,
|
||||
"Sequential Substitution converged (criteria)"
|
||||
);
|
||||
return Ok(ConvergedState::with_report(
|
||||
let result = ConvergedState::with_report(
|
||||
state,
|
||||
iteration,
|
||||
current_norm,
|
||||
ConvergenceStatus::Converged,
|
||||
report,
|
||||
SimulationMetadata::new(system.input_hash()),
|
||||
));
|
||||
);
|
||||
return Ok(if let Some(d) = diagnostics {
|
||||
ConvergedState { diagnostics: Some(d), ..result }
|
||||
} else { result });
|
||||
}
|
||||
false
|
||||
} else {
|
||||
@@ -373,19 +441,36 @@ impl Solver for PicardConfig {
|
||||
};
|
||||
|
||||
if converged {
|
||||
// Finalize diagnostics
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = iteration;
|
||||
diag.final_residual = current_norm;
|
||||
diag.best_residual = best_residual;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.final_solver = Some(SolverType::SequentialSubstitution);
|
||||
|
||||
if self.verbose_config.log_residuals {
|
||||
tracing::info!("{}", diag.summary());
|
||||
}
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
iterations = iteration,
|
||||
final_residual = current_norm,
|
||||
relaxation_factor = self.relaxation_factor,
|
||||
"Sequential Substitution converged"
|
||||
);
|
||||
return Ok(ConvergedState::new(
|
||||
let result = ConvergedState::new(
|
||||
state,
|
||||
iteration,
|
||||
current_norm,
|
||||
ConvergenceStatus::Converged,
|
||||
SimulationMetadata::new(system.input_hash()),
|
||||
));
|
||||
);
|
||||
return Ok(if let Some(d) = diagnostics {
|
||||
ConvergedState { diagnostics: Some(d), ..result }
|
||||
} else { result });
|
||||
}
|
||||
|
||||
// Check divergence (AC: #5)
|
||||
@@ -401,6 +486,27 @@ impl Solver for PicardConfig {
|
||||
}
|
||||
}
|
||||
|
||||
// Non-convergence: dump diagnostics if enabled
|
||||
if let Some(ref mut diag) = diagnostics {
|
||||
diag.iterations = self.max_iterations;
|
||||
diag.final_residual = current_norm;
|
||||
diag.best_residual = best_residual;
|
||||
diag.converged = false;
|
||||
diag.timing_ms = start_time.elapsed().as_millis() as u64;
|
||||
diag.final_solver = Some(SolverType::SequentialSubstitution);
|
||||
|
||||
if self.verbose_config.dump_final_state {
|
||||
diag.final_state = Some(state.clone());
|
||||
let json_output = diag.dump_diagnostics(self.verbose_config.output_format);
|
||||
tracing::warn!(
|
||||
iterations = self.max_iterations,
|
||||
final_residual = current_norm,
|
||||
"Non-convergence diagnostics:\n{}",
|
||||
json_output
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// Max iterations exceeded
|
||||
tracing::warn!(
|
||||
max_iterations = self.max_iterations,
|
||||
|
||||
625
crates/solver/tests/chiller_air_glycol_integration.rs
Normal file
625
crates/solver/tests/chiller_air_glycol_integration.rs
Normal file
@@ -0,0 +1,625 @@
|
||||
//! Integration test: Air-Cooled Chiller with Screw Economizer Compressor
|
||||
//!
|
||||
//! Simulates a 2-circuit air-cooled chiller with:
|
||||
//! - 2 × ScrewEconomizerCompressor (R134a, VFD controlled 25–60 Hz)
|
||||
//! - 4 × MchxCondenserCoil + fan banks (35°C ambient air)
|
||||
//! - 2 × FloodedEvaporator + Drum (water-glycol MEG 35%, 12°C → 7°C)
|
||||
//! - Economizer (flash-gas injection)
|
||||
//! - Superheat control via Constraint
|
||||
//! - Fan speed control (anti-override) via BoundedVariable
|
||||
//!
|
||||
//! ## Topology per circuit (× 2 circuits)
|
||||
//!
|
||||
//! ```text
|
||||
//! BrineSource(MEG35%, 12°C)
|
||||
//! ↓
|
||||
//! FloodedEvaporator ←── Drum ←── Economizer(flash)
|
||||
//! ↓ ↑
|
||||
//! ScrewEconomizerCompressor(eco port) ──┘
|
||||
//! ↓
|
||||
//! FlowSplitter (1 → 2 coils)
|
||||
//! ↓ ↓
|
||||
//! MchxCoil_A+Fan_A MchxCoil_B+Fan_B
|
||||
//! ↓ ↓
|
||||
//! FlowMerger (2 → 1)
|
||||
//! ↓
|
||||
//! ExpansionValve
|
||||
//! ↓
|
||||
//! BrineSink(MEG35%, 7°C)
|
||||
//! ```
|
||||
//!
|
||||
//! This test validates topology construction, finalization, and that all
|
||||
//! components can compute residuals without errors at a reasonable initial state.
|
||||
|
||||
use entropyk_components::port::{Connected, FluidId, Port};
|
||||
use entropyk_components::state_machine::{CircuitId, OperationalState};
|
||||
use entropyk_components::{
|
||||
Component, ComponentError, ConnectedPort, JacobianBuilder, MchxCondenserCoil, Polynomial2D,
|
||||
ResidualVector, ScrewEconomizerCompressor, ScrewPerformanceCurves, StateManageable, StateSlice,
|
||||
};
|
||||
use entropyk_core::{Enthalpy, MassFlow, Power, Pressure};
|
||||
use entropyk_solver::{system::System, TopologyError};
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Helpers
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
type CP = Port<Connected>;
|
||||
|
||||
/// Creates a connected port pair — returns the first (connected) port.
|
||||
fn make_port(fluid: &str, p_bar: f64, h_kj_kg: f64) -> ConnectedPort {
|
||||
let a = Port::new(
|
||||
FluidId::new(fluid),
|
||||
Pressure::from_bar(p_bar),
|
||||
Enthalpy::from_joules_per_kg(h_kj_kg * 1000.0),
|
||||
);
|
||||
let b = Port::new(
|
||||
FluidId::new(fluid),
|
||||
Pressure::from_bar(p_bar),
|
||||
Enthalpy::from_joules_per_kg(h_kj_kg * 1000.0),
|
||||
);
|
||||
a.connect(b).expect("port connection ok").0
|
||||
}
|
||||
|
||||
/// Creates screw compressor performance curves representing a ~200 kW screw
|
||||
/// refrigerating unit at 50 Hz (R134a).
|
||||
///
|
||||
/// SST reference: +3°C = 276.15 K
|
||||
/// SDT reference: +50°C = 323.15 K
|
||||
fn make_screw_curves() -> ScrewPerformanceCurves {
|
||||
// Bilinear approximation:
|
||||
// ṁ_suc [kg/s] = 1.20 + 0.003×(SST-276) - 0.002×(SDT-323) + 1e-5×(SST-276)×(SDT-323)
|
||||
// W_shaft [W] = 55000 + 200×(SST-276) - 300×(SDT-323) + 0.5×…
|
||||
ScrewPerformanceCurves::with_fixed_eco_fraction(
|
||||
Polynomial2D::bilinear(1.20, 0.003, -0.002, 0.000_01),
|
||||
Polynomial2D::bilinear(55_000.0, 200.0, -300.0, 0.5),
|
||||
0.12, // 12% economizer fraction
|
||||
)
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Mock components used for sections not yet wired with real residuals
|
||||
// (FloodedEvaporator, Drum, Economizer, ExpansionValve, BrineSource/Sink,
|
||||
// FlowSplitter/Merger — these already exist as real components, but for this
|
||||
// topology test we use mocks to isolate the new components under test)
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Generic mock component: all residuals = 0, n_equations configurable.
|
||||
struct Mock {
|
||||
n: usize,
|
||||
circuit_id: CircuitId,
|
||||
}
|
||||
|
||||
impl Mock {
|
||||
fn new(n: usize, circuit: u16) -> Self {
|
||||
Self {
|
||||
n,
|
||||
circuit_id: CircuitId(circuit),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Component for Mock {
|
||||
fn compute_residuals(
|
||||
&self,
|
||||
_state: &StateSlice,
|
||||
residuals: &mut ResidualVector,
|
||||
) -> Result<(), ComponentError> {
|
||||
for r in residuals.iter_mut().take(self.n) {
|
||||
*r = 0.0;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn jacobian_entries(
|
||||
&self,
|
||||
_state: &StateSlice,
|
||||
_jacobian: &mut JacobianBuilder,
|
||||
) -> Result<(), ComponentError> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn n_equations(&self) -> usize {
|
||||
self.n
|
||||
}
|
||||
|
||||
fn get_ports(&self) -> &[ConnectedPort] {
|
||||
&[]
|
||||
}
|
||||
|
||||
fn port_mass_flows(&self, _state: &StateSlice) -> Result<Vec<MassFlow>, ComponentError> {
|
||||
Ok(vec![MassFlow::from_kg_per_s(1.0)])
|
||||
}
|
||||
|
||||
fn energy_transfers(&self, _state: &StateSlice) -> Option<(Power, Power)> {
|
||||
Some((Power::from_watts(0.0), Power::from_watts(0.0)))
|
||||
}
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 1: ScrewEconomizerCompressor topology
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_screw_compressor_creation_and_residuals() {
|
||||
let suc = make_port("R134a", 3.2, 400.0);
|
||||
let dis = make_port("R134a", 12.8, 440.0);
|
||||
let eco = make_port("R134a", 6.4, 260.0);
|
||||
|
||||
let comp =
|
||||
ScrewEconomizerCompressor::new(make_screw_curves(), "R134a", 50.0, 0.92, suc, dis, eco)
|
||||
.expect("compressor creation ok");
|
||||
|
||||
assert_eq!(comp.n_equations(), 5);
|
||||
|
||||
// Compute residuals at a plausible operating state
|
||||
let state = vec![
|
||||
1.2, // ṁ_suc [kg/s]
|
||||
0.144, // ṁ_eco [kg/s] = 12% × 1.2
|
||||
400_000.0, // h_suc [J/kg]
|
||||
440_000.0, // h_dis [J/kg]
|
||||
55_000.0, // W_shaft [W]
|
||||
];
|
||||
let mut residuals = vec![0.0; 5];
|
||||
comp.compute_residuals(&state, &mut residuals)
|
||||
.expect("residuals computed");
|
||||
|
||||
// All residuals must be finite
|
||||
for (i, r) in residuals.iter().enumerate() {
|
||||
assert!(r.is_finite(), "residual[{}] = {} not finite", i, r);
|
||||
}
|
||||
|
||||
// Residual[4] (shaft power balance): W_calc - W_state
|
||||
// Polynomial at SST~276K, SDT~323K gives ~55000 W → residual ≈ 0
|
||||
println!("Screw residuals: {:?}", residuals);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 2: VFD frequency scaling
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_screw_vfd_scaling() {
|
||||
let suc = make_port("R134a", 3.2, 400.0);
|
||||
let dis = make_port("R134a", 12.8, 440.0);
|
||||
let eco = make_port("R134a", 6.4, 260.0);
|
||||
|
||||
let mut comp =
|
||||
ScrewEconomizerCompressor::new(make_screw_curves(), "R134a", 50.0, 0.92, suc, dis, eco)
|
||||
.unwrap();
|
||||
|
||||
// At full speed (50 Hz): compute mass flow residual
|
||||
let state_full = vec![1.2, 0.144, 400_000.0, 440_000.0, 55_000.0];
|
||||
let mut r_full = vec![0.0; 5];
|
||||
comp.compute_residuals(&state_full, &mut r_full).unwrap();
|
||||
let m_error_full = r_full[0].abs();
|
||||
|
||||
// At 40 Hz (80%): mass flow should be ~80% of full speed
|
||||
comp.set_frequency_hz(40.0).unwrap();
|
||||
assert!((comp.frequency_ratio() - 0.8).abs() < 1e-10);
|
||||
|
||||
let state_reduced = vec![0.96, 0.115, 400_000.0, 440_000.0, 44_000.0];
|
||||
let mut r_reduced = vec![0.0; 5];
|
||||
comp.compute_residuals(&state_reduced, &mut r_reduced)
|
||||
.unwrap();
|
||||
let m_error_reduced = r_reduced[0].abs();
|
||||
|
||||
println!(
|
||||
"VFD test: r[0] at 50Hz = {:.4}, at 40Hz = {:.4}",
|
||||
m_error_full, m_error_reduced
|
||||
);
|
||||
|
||||
// Both should be finite
|
||||
assert!(m_error_full.is_finite());
|
||||
assert!(m_error_reduced.is_finite());
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 3: MCHX condenser coil UA correction
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_mchx_ua_correction_with_fan_speed() {
|
||||
// Coil bank: 4 coils, 15 kW/K each at design point (35°C, fan=100%)
|
||||
let ua_per_coil = 15_000.0; // W/K
|
||||
|
||||
let mut coils: Vec<MchxCondenserCoil> = (0..4)
|
||||
.map(|i| MchxCondenserCoil::for_35c_ambient(ua_per_coil, i))
|
||||
.collect();
|
||||
|
||||
// Total UA at full speed
|
||||
let ua_total_full: f64 = coils.iter().map(|c| c.ua_effective()).sum();
|
||||
assert!(
|
||||
(ua_total_full - 4.0 * ua_per_coil).abs() < 2000.0,
|
||||
"Total UA at full speed should be ≈ 60 kW/K, got {:.0}",
|
||||
ua_total_full
|
||||
);
|
||||
|
||||
// Reduce fan 1 to 70% (anti-override scenario)
|
||||
coils[0].set_fan_speed_ratio(0.70);
|
||||
let ua_coil0_reduced = coils[0].ua_effective();
|
||||
let ua_coil0_full = coils[1].ua_effective(); // coil[1] still at 100%
|
||||
|
||||
// UA at 70% speed = UA_nominal × 0.7^0.5 ≈ UA_nominal × 0.837
|
||||
let expected_ratio = 0.70_f64.sqrt();
|
||||
let actual_ratio = ua_coil0_reduced / ua_coil0_full;
|
||||
let tol = 0.02; // 2% tolerance
|
||||
assert!(
|
||||
(actual_ratio - expected_ratio).abs() < tol,
|
||||
"UA ratio expected {:.3}, got {:.3}",
|
||||
expected_ratio,
|
||||
actual_ratio
|
||||
);
|
||||
|
||||
println!(
|
||||
"MCHX UA: full={:.0} W/K, at 70% fan={:.0} W/K (ratio={:.3})",
|
||||
ua_coil0_full, ua_coil0_reduced, actual_ratio
|
||||
);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 4: MCHX UA decreases at high ambient temperature
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_mchx_ua_ambient_temperature_effect() {
|
||||
let mut coil_35 = MchxCondenserCoil::for_35c_ambient(15_000.0, 0);
|
||||
let mut coil_45 = MchxCondenserCoil::for_35c_ambient(15_000.0, 0);
|
||||
|
||||
coil_45.set_air_temperature_celsius(45.0);
|
||||
|
||||
let ua_35 = coil_35.ua_effective();
|
||||
let ua_45 = coil_45.ua_effective();
|
||||
|
||||
println!("UA at 35°C: {:.0} W/K, UA at 45°C: {:.0} W/K", ua_35, ua_45);
|
||||
|
||||
// Higher ambient → lower air density → lower UA
|
||||
assert!(
|
||||
ua_45 < ua_35,
|
||||
"UA should decrease with higher ambient temperature"
|
||||
);
|
||||
|
||||
// The reduction should be ~3% (density ratio: 1.12/1.09 ≈ 0.973)
|
||||
let density_35 = 1.12_f64;
|
||||
let density_45 = 101_325.0 / (287.058 * 318.15); // ≈ 1.109
|
||||
let expected_ratio = density_45 / density_35;
|
||||
let actual_ratio = ua_45 / ua_35;
|
||||
|
||||
assert!(
|
||||
(actual_ratio - expected_ratio).abs() < 0.02,
|
||||
"Density ratio expected {:.4}, got {:.4}",
|
||||
expected_ratio,
|
||||
actual_ratio
|
||||
);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 5: 2-circuit system topology construction
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_two_circuit_chiller_topology() {
|
||||
let mut sys = System::new();
|
||||
|
||||
// ── Circuit 0 (compressor + condenser side) ───────────────────────────────
|
||||
// Simplified topology using Mock components to validate graph construction:
|
||||
//
|
||||
// Screw comp → FlowSplitter → [CoilA, CoilB] → FlowMerger
|
||||
// → EXV → FloodedEvap
|
||||
// ← Drum ← Economizer ←────────────────────────────┘
|
||||
|
||||
// Screw compressor circuit 0
|
||||
let comp0_suc = make_port("R134a", 3.2, 400.0);
|
||||
let comp0_dis = make_port("R134a", 12.8, 440.0);
|
||||
let comp0_eco = make_port("R134a", 6.4, 260.0);
|
||||
let comp0 = ScrewEconomizerCompressor::new(
|
||||
make_screw_curves(),
|
||||
"R134a",
|
||||
50.0,
|
||||
0.92,
|
||||
comp0_suc,
|
||||
comp0_dis,
|
||||
comp0_eco,
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let comp0_node = sys
|
||||
.add_component_to_circuit(Box::new(comp0), CircuitId::ZERO)
|
||||
.expect("add comp0");
|
||||
|
||||
// 4 MCHX coils for circuit 0 (2 coils per circuit in this test)
|
||||
for i in 0..2 {
|
||||
let coil = MchxCondenserCoil::for_35c_ambient(15_000.0, i);
|
||||
let coil_node = sys
|
||||
.add_component_to_circuit(Box::new(coil), CircuitId::ZERO)
|
||||
.expect("add coil");
|
||||
sys.add_edge(comp0_node, coil_node).expect("comp→coil edge");
|
||||
}
|
||||
|
||||
// FlowMerger (mock), EXV, FloodedEvap, Drum, Eco — all mock
|
||||
let merger = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(2, 0)), CircuitId::ZERO)
|
||||
.unwrap();
|
||||
let exv = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(2, 0)), CircuitId::ZERO)
|
||||
.unwrap();
|
||||
let evap = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(3, 0)), CircuitId::ZERO)
|
||||
.unwrap();
|
||||
let drum = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(5, 0)), CircuitId::ZERO)
|
||||
.unwrap();
|
||||
let eco = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(3, 0)), CircuitId::ZERO)
|
||||
.unwrap();
|
||||
|
||||
// Connect: merger → exv → evap → drum → eco → comp0 (suction)
|
||||
sys.add_edge(merger, exv).unwrap();
|
||||
sys.add_edge(exv, evap).unwrap();
|
||||
sys.add_edge(evap, drum).unwrap();
|
||||
sys.add_edge(drum, eco).unwrap();
|
||||
sys.add_edge(eco, comp0_node).unwrap();
|
||||
sys.add_edge(comp0_node, merger).unwrap(); // closes loop via compressor
|
||||
|
||||
// ── Circuit 1 (second independent compressor circuit) ─────────────────────
|
||||
let comp1_suc = make_port("R134a", 3.2, 400.0);
|
||||
let comp1_dis = make_port("R134a", 12.8, 440.0);
|
||||
let comp1_eco = make_port("R134a", 6.4, 260.0);
|
||||
let comp1 = ScrewEconomizerCompressor::new(
|
||||
make_screw_curves(),
|
||||
"R134a",
|
||||
50.0,
|
||||
0.92,
|
||||
comp1_suc,
|
||||
comp1_dis,
|
||||
comp1_eco,
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let comp1_node = sys
|
||||
.add_component_to_circuit(Box::new(comp1), CircuitId(1))
|
||||
.expect("add comp1");
|
||||
|
||||
// 2 coils for circuit 1
|
||||
for i in 2..4 {
|
||||
let coil = MchxCondenserCoil::for_35c_ambient(15_000.0, i);
|
||||
let coil_node = sys
|
||||
.add_component_to_circuit(Box::new(coil), CircuitId(1))
|
||||
.expect("add coil");
|
||||
sys.add_edge(comp1_node, coil_node)
|
||||
.expect("comp1→coil edge");
|
||||
}
|
||||
|
||||
let merger1 = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(2, 1)), CircuitId(1))
|
||||
.unwrap();
|
||||
let exv1 = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(2, 1)), CircuitId(1))
|
||||
.unwrap();
|
||||
let evap1 = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(3, 1)), CircuitId(1))
|
||||
.unwrap();
|
||||
|
||||
sys.add_edge(merger1, exv1).unwrap();
|
||||
sys.add_edge(exv1, evap1).unwrap();
|
||||
sys.add_edge(evap1, comp1_node).unwrap();
|
||||
sys.add_edge(comp1_node, merger1).unwrap();
|
||||
|
||||
// ── Assert topology ───────────────────────────────────────────────────────
|
||||
assert_eq!(sys.circuit_count(), 2, "should have exactly 2 circuits");
|
||||
|
||||
// Circuit 0: comp + 2 coils + merger + exv + evap + drum + eco = 9 nodes
|
||||
assert!(
|
||||
sys.circuit_nodes(CircuitId::ZERO).count() >= 8,
|
||||
"circuit 0 should have ≥8 nodes"
|
||||
);
|
||||
|
||||
// Circuit 1: comp + 2 coils + merger + exv + evap = 6 nodes
|
||||
assert!(
|
||||
sys.circuit_nodes(CircuitId(1)).count() >= 5,
|
||||
"circuit 1 should have ≥5 nodes"
|
||||
);
|
||||
|
||||
// Finalize should succeed
|
||||
let result = sys.finalize();
|
||||
assert!(
|
||||
result.is_ok(),
|
||||
"System finalize should succeed: {:?}",
|
||||
result.err()
|
||||
);
|
||||
|
||||
println!(
|
||||
"2-circuit chiller topology: {} nodes in circuit 0, {} in circuit 1",
|
||||
sys.circuit_nodes(CircuitId::ZERO).count(),
|
||||
sys.circuit_nodes(CircuitId(1)).count()
|
||||
);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 6: Fan anti-override control logic
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_fan_anti_override_speed_reduction() {
|
||||
// Simulate anti-override: when condensing pressure > limit,
|
||||
// reduce fan speed gradually until pressure stabilises.
|
||||
//
|
||||
// This test validates the MCHX UA response to fan speed changes,
|
||||
// which is the physical mechanism behind anti-override control.
|
||||
|
||||
let ua_nominal = 15_000.0; // W/K per coil
|
||||
let mut coil = MchxCondenserCoil::for_35c_ambient(ua_nominal, 0);
|
||||
|
||||
// Start at 100% fan speed
|
||||
assert!((coil.fan_speed_ratio() - 1.0).abs() < 1e-10);
|
||||
let ua_100 = coil.ua_effective();
|
||||
|
||||
// Reduce to 80% (typical anti-override step)
|
||||
coil.set_fan_speed_ratio(0.80);
|
||||
let ua_80 = coil.ua_effective();
|
||||
|
||||
// Reduce to 60%
|
||||
coil.set_fan_speed_ratio(0.60);
|
||||
let ua_60 = coil.ua_effective();
|
||||
|
||||
// UA should decrease monotonically with fan speed
|
||||
assert!(ua_100 > ua_80, "UA should decrease from 100% to 80%");
|
||||
assert!(ua_80 > ua_60, "UA should decrease from 80% to 60%");
|
||||
|
||||
// Reduction should follow power law: UA ∝ speed^0.5
|
||||
let ratio_80 = ua_80 / ua_100;
|
||||
let ratio_60 = ua_60 / ua_100;
|
||||
assert!(
|
||||
(ratio_80 - 0.80_f64.sqrt()).abs() < 0.03,
|
||||
"80% speed ratio: expected {:.3}, got {:.3}",
|
||||
0.80_f64.sqrt(),
|
||||
ratio_80
|
||||
);
|
||||
assert!(
|
||||
(ratio_60 - 0.60_f64.sqrt()).abs() < 0.03,
|
||||
"60% speed ratio: expected {:.3}, got {:.3}",
|
||||
0.60_f64.sqrt(),
|
||||
ratio_60
|
||||
);
|
||||
|
||||
println!(
|
||||
"Anti-override UA: 100%={:.0}, 80%={:.0}, 60%={:.0} W/K",
|
||||
ua_100, ua_80, ua_60
|
||||
);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 7: Screw compressor off state — zero mass flow
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_screw_compressor_off_state_zero_flow() {
|
||||
let suc = make_port("R134a", 3.2, 400.0);
|
||||
let dis = make_port("R134a", 12.8, 440.0);
|
||||
let eco = make_port("R134a", 6.4, 260.0);
|
||||
|
||||
let mut comp =
|
||||
ScrewEconomizerCompressor::new(make_screw_curves(), "R134a", 50.0, 0.92, suc, dis, eco)
|
||||
.unwrap();
|
||||
|
||||
comp.set_state(OperationalState::Off).unwrap();
|
||||
|
||||
let state = vec![0.0; 5];
|
||||
let mut residuals = vec![0.0; 5];
|
||||
comp.compute_residuals(&state, &mut residuals).unwrap();
|
||||
|
||||
// In Off state: r[0]=ṁ_suc=0, r[1]=ṁ_eco=0, r[4]=W=0
|
||||
assert!(
|
||||
residuals[0].abs() < 1e-12,
|
||||
"Off: ṁ_suc residual should be 0"
|
||||
);
|
||||
assert!(
|
||||
residuals[1].abs() < 1e-12,
|
||||
"Off: ṁ_eco residual should be 0"
|
||||
);
|
||||
assert!(residuals[4].abs() < 1e-12, "Off: W residual should be 0");
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 8: 4-coil bank total capacity estimate
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_four_coil_bank_total_ua() {
|
||||
// Design: 4 coils, total UA = 60 kW/K, T_air=35°C
|
||||
// Expected: total condensing capacity ≈ 60 kW/K × (T_cond - T_air) ≈ 60 × 15 = 900 kW
|
||||
// (for T_cond = 50°C, ΔT_lm ≈ 15 K — rough estimate)
|
||||
|
||||
let coils: Vec<MchxCondenserCoil> = (0..4)
|
||||
.map(|i| MchxCondenserCoil::for_35c_ambient(15_000.0, i))
|
||||
.collect();
|
||||
|
||||
let total_ua: f64 = coils.iter().map(|c| c.ua_effective()).sum();
|
||||
|
||||
println!(
|
||||
"4-coil bank total UA: {:.0} W/K = {:.1} kW/K",
|
||||
total_ua,
|
||||
total_ua / 1000.0
|
||||
);
|
||||
|
||||
// Should be close to 60 kW/K (4 × 15 kW/K, with density ≈ 1 at design point)
|
||||
assert!(
|
||||
(total_ua - 60_000.0).abs() < 3_000.0,
|
||||
"Total UA should be ≈ 60 kW/K, got {:.1} kW/K",
|
||||
total_ua / 1000.0
|
||||
);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 9: Cross-circuit connection rejected
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_cross_circuit_connection_rejected() {
|
||||
let mut sys = System::new();
|
||||
|
||||
let n0 = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(2, 0)), CircuitId::ZERO)
|
||||
.unwrap();
|
||||
let n1 = sys
|
||||
.add_component_to_circuit(Box::new(Mock::new(2, 1)), CircuitId(1))
|
||||
.unwrap();
|
||||
|
||||
let result = sys.add_edge(n0, n1);
|
||||
assert!(
|
||||
matches!(result, Err(TopologyError::CrossCircuitConnection { .. })),
|
||||
"Cross-circuit edge should be rejected"
|
||||
);
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// Test 10: Screw compressor energy balance sanity check
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
#[test]
|
||||
fn test_screw_energy_balance() {
|
||||
let suc = make_port("R134a", 3.2, 400.0);
|
||||
let dis = make_port("R134a", 12.8, 440.0);
|
||||
let eco = make_port("R134a", 6.4, 260.0);
|
||||
|
||||
let comp =
|
||||
ScrewEconomizerCompressor::new(make_screw_curves(), "R134a", 50.0, 0.92, suc, dis, eco)
|
||||
.unwrap();
|
||||
|
||||
// At this operating point:
|
||||
// h_suc=400 kJ/kg, h_dis=440 kJ/kg, h_eco=260 kJ/kg
|
||||
// ṁ_suc=1.2 kg/s, ṁ_eco=0.144 kg/s, ṁ_total=1.344 kg/s
|
||||
// Energy in = 1.2×400000 + 0.144×260000 + W/0.92
|
||||
// Energy out = 1.344×440000
|
||||
// W = (1.344×440000 - 1.2×400000 - 0.144×260000) × 0.92
|
||||
|
||||
let m_suc = 1.2_f64;
|
||||
let m_eco = 0.144_f64;
|
||||
let m_total = m_suc + m_eco;
|
||||
let h_suc = 400_000.0_f64;
|
||||
let h_dis = 440_000.0_f64;
|
||||
let h_eco = 260_000.0_f64;
|
||||
let eta_mech = 0.92_f64;
|
||||
|
||||
let w_expected = (m_total * h_dis - m_suc * h_suc - m_eco * h_eco) * eta_mech;
|
||||
println!(
|
||||
"Expected shaft power: {:.0} W = {:.1} kW",
|
||||
w_expected,
|
||||
w_expected / 1000.0
|
||||
);
|
||||
|
||||
// Verify that this W closes the energy balance (residual[2] ≈ 0)
|
||||
let state = vec![m_suc, m_eco, h_suc, h_dis, w_expected];
|
||||
let mut residuals = vec![0.0; 5];
|
||||
comp.compute_residuals(&state, &mut residuals).unwrap();
|
||||
|
||||
// residual[2] = energy_in - energy_out
|
||||
// = (ṁ_suc×h_suc + ṁ_eco×h_eco + W/η) - ṁ_total×h_dis
|
||||
// Should be exactly 0 if W was computed correctly
|
||||
println!("Energy balance residual: {:.4} J/s", residuals[2]);
|
||||
assert!(
|
||||
residuals[2].abs() < 1.0,
|
||||
"Energy balance residual should be < 1 W, got {:.4}",
|
||||
residuals[2]
|
||||
);
|
||||
}
|
||||
@@ -292,10 +292,11 @@ fn test_fallback_config_customization() {
|
||||
fallback_enabled: true,
|
||||
return_to_newton_threshold: 5e-4,
|
||||
max_fallback_switches: 3,
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
let solver = FallbackSolver::new(config.clone());
|
||||
assert_eq!(solver.config, config);
|
||||
assert_eq!(solver.config.fallback_enabled, config.fallback_enabled);
|
||||
assert_eq!(solver.config.return_to_newton_threshold, 5e-4);
|
||||
assert_eq!(solver.config.max_fallback_switches, 3);
|
||||
}
|
||||
|
||||
208
crates/solver/tests/real_cycle_inverse_integration.rs
Normal file
208
crates/solver/tests/real_cycle_inverse_integration.rs
Normal file
@@ -0,0 +1,208 @@
|
||||
use entropyk_components::port::{Connected, FluidId, Port};
|
||||
use entropyk_components::state_machine::CircuitId;
|
||||
use entropyk_components::{
|
||||
Component, ComponentError, ConnectedPort, JacobianBuilder, MchxCondenserCoil, Polynomial2D,
|
||||
ResidualVector, ScrewEconomizerCompressor, ScrewPerformanceCurves, StateSlice,
|
||||
};
|
||||
use entropyk_core::{Enthalpy, MassFlow, Power, Pressure};
|
||||
use entropyk_solver::inverse::{BoundedVariable, BoundedVariableId, ComponentOutput, Constraint, ConstraintId};
|
||||
use entropyk_solver::system::System;
|
||||
|
||||
type CP = Port<Connected>;
|
||||
|
||||
fn make_port(fluid: &str, p_bar: f64, h_kj_kg: f64) -> ConnectedPort {
|
||||
let a = Port::new(
|
||||
FluidId::new(fluid),
|
||||
Pressure::from_bar(p_bar),
|
||||
Enthalpy::from_joules_per_kg(h_kj_kg * 1000.0),
|
||||
);
|
||||
let b = Port::new(
|
||||
FluidId::new(fluid),
|
||||
Pressure::from_bar(p_bar),
|
||||
Enthalpy::from_joules_per_kg(h_kj_kg * 1000.0),
|
||||
);
|
||||
a.connect(b).expect("port connection ok").0
|
||||
}
|
||||
|
||||
fn make_screw_curves() -> ScrewPerformanceCurves {
|
||||
ScrewPerformanceCurves::with_fixed_eco_fraction(
|
||||
Polynomial2D::bilinear(1.20, 0.003, -0.002, 0.000_01),
|
||||
Polynomial2D::bilinear(55_000.0, 200.0, -300.0, 0.5),
|
||||
0.12,
|
||||
)
|
||||
}
|
||||
|
||||
struct Mock {
|
||||
n: usize,
|
||||
circuit_id: CircuitId,
|
||||
}
|
||||
|
||||
impl Mock {
|
||||
fn new(n: usize, circuit: u16) -> Self {
|
||||
Self {
|
||||
n,
|
||||
circuit_id: CircuitId(circuit),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Component for Mock {
|
||||
fn compute_residuals(
|
||||
&self,
|
||||
_state: &StateSlice,
|
||||
residuals: &mut ResidualVector,
|
||||
) -> Result<(), ComponentError> {
|
||||
for r in residuals.iter_mut().take(self.n) {
|
||||
*r = 0.0;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn jacobian_entries(
|
||||
&self,
|
||||
_state: &StateSlice,
|
||||
_jacobian: &mut JacobianBuilder,
|
||||
) -> Result<(), ComponentError> {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn n_equations(&self) -> usize {
|
||||
self.n
|
||||
}
|
||||
|
||||
fn get_ports(&self) -> &[ConnectedPort] {
|
||||
&[]
|
||||
}
|
||||
|
||||
fn port_mass_flows(&self, _state: &StateSlice) -> Result<Vec<MassFlow>, ComponentError> {
|
||||
Ok(vec![MassFlow::from_kg_per_s(1.0)])
|
||||
}
|
||||
|
||||
fn energy_transfers(&self, _state: &StateSlice) -> Option<(Power, Power)> {
|
||||
Some((Power::from_watts(0.0), Power::from_watts(0.0)))
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_real_cycle_inverse_control_integration() {
|
||||
let mut sys = System::new();
|
||||
|
||||
// 1. Create components
|
||||
let comp_suc = make_port("R134a", 3.2, 400.0);
|
||||
let comp_dis = make_port("R134a", 12.8, 440.0);
|
||||
let comp_eco = make_port("R134a", 6.4, 260.0);
|
||||
|
||||
let comp = ScrewEconomizerCompressor::new(
|
||||
make_screw_curves(),
|
||||
"R134a",
|
||||
50.0,
|
||||
0.92,
|
||||
comp_suc,
|
||||
comp_dis,
|
||||
comp_eco,
|
||||
).unwrap();
|
||||
|
||||
let coil = MchxCondenserCoil::for_35c_ambient(15_000.0, 0);
|
||||
let exv = Mock::new(2, 0); // Expansion Valve
|
||||
let evap = Mock::new(2, 0); // Evaporator
|
||||
|
||||
// 2. Add components to system
|
||||
let comp_node = sys.add_component_to_circuit(Box::new(comp), CircuitId::ZERO).unwrap();
|
||||
let coil_node = sys.add_component_to_circuit(Box::new(coil), CircuitId::ZERO).unwrap();
|
||||
let exv_node = sys.add_component_to_circuit(Box::new(exv), CircuitId::ZERO).unwrap();
|
||||
let evap_node = sys.add_component_to_circuit(Box::new(evap), CircuitId::ZERO).unwrap();
|
||||
|
||||
sys.register_component_name("compressor", comp_node);
|
||||
sys.register_component_name("condenser", coil_node);
|
||||
sys.register_component_name("expansion_valve", exv_node);
|
||||
sys.register_component_name("evaporator", evap_node);
|
||||
|
||||
// 3. Connect components
|
||||
sys.add_edge(comp_node, coil_node).unwrap();
|
||||
sys.add_edge(coil_node, exv_node).unwrap();
|
||||
sys.add_edge(exv_node, evap_node).unwrap();
|
||||
sys.add_edge(evap_node, comp_node).unwrap();
|
||||
|
||||
// 4. Add Inverse Control Elements (Constraints and BoundedVariables)
|
||||
// Constraint 1: Superheat at evaporator = 5K
|
||||
sys.add_constraint(Constraint::new(
|
||||
ConstraintId::new("superheat_control"),
|
||||
ComponentOutput::Superheat {
|
||||
component_id: "evaporator".to_string(),
|
||||
},
|
||||
5.0,
|
||||
)).unwrap();
|
||||
|
||||
// Constraint 2: Capacity at compressor = 50000 W
|
||||
sys.add_constraint(Constraint::new(
|
||||
ConstraintId::new("capacity_control"),
|
||||
ComponentOutput::Capacity {
|
||||
component_id: "compressor".to_string(),
|
||||
},
|
||||
50000.0,
|
||||
)).unwrap();
|
||||
|
||||
// Control 1: Valve Opening
|
||||
let bv_valve = BoundedVariable::with_component(
|
||||
BoundedVariableId::new("valve_opening"),
|
||||
"expansion_valve",
|
||||
0.5,
|
||||
0.0,
|
||||
1.0,
|
||||
).unwrap();
|
||||
sys.add_bounded_variable(bv_valve).unwrap();
|
||||
|
||||
// Control 2: Compressor Speed
|
||||
let bv_comp = BoundedVariable::with_component(
|
||||
BoundedVariableId::new("compressor_speed"),
|
||||
"compressor",
|
||||
0.7,
|
||||
0.3,
|
||||
1.0,
|
||||
).unwrap();
|
||||
sys.add_bounded_variable(bv_comp).unwrap();
|
||||
|
||||
// Link constraints to controls
|
||||
sys.link_constraint_to_control(
|
||||
&ConstraintId::new("superheat_control"),
|
||||
&BoundedVariableId::new("valve_opening"),
|
||||
).unwrap();
|
||||
|
||||
sys.link_constraint_to_control(
|
||||
&ConstraintId::new("capacity_control"),
|
||||
&BoundedVariableId::new("compressor_speed"),
|
||||
).unwrap();
|
||||
|
||||
// 5. Finalize the system
|
||||
sys.finalize().unwrap();
|
||||
|
||||
// Verify system state size and degrees of freedom
|
||||
assert_eq!(sys.constraint_count(), 2);
|
||||
assert_eq!(sys.bounded_variable_count(), 2);
|
||||
|
||||
// Validate DoF
|
||||
sys.validate_inverse_control_dof().expect("System should be balanced for inverse control");
|
||||
|
||||
// Evaluate the total system residual and jacobian capability
|
||||
let state_len = sys.state_vector_len();
|
||||
assert!(state_len > 0, "System should have state variables");
|
||||
|
||||
// Create mock state and control values
|
||||
let state = vec![400_000.0; state_len];
|
||||
let control_values = vec![0.5, 0.7]; // Valve, Compressor speeds
|
||||
|
||||
let mut residuals = vec![0.0; state_len + 2];
|
||||
|
||||
// Evaluate constraints
|
||||
let measured = sys.extract_constraint_values_with_controls(&state, &control_values);
|
||||
let count = sys.compute_constraint_residuals(&state, &mut residuals[state_len..], &measured);
|
||||
|
||||
assert_eq!(count, 2, "Should have computed 2 constraint residuals");
|
||||
|
||||
// Evaluate jacobian
|
||||
let jacobian_entries = sys.compute_inverse_control_jacobian(&state, state_len, &control_values);
|
||||
|
||||
assert!(!jacobian_entries.is_empty(), "Jacobian should have entries for inverse control");
|
||||
|
||||
println!("System integration with inverse control successful!");
|
||||
}
|
||||
479
crates/solver/tests/verbose_mode.rs
Normal file
479
crates/solver/tests/verbose_mode.rs
Normal file
@@ -0,0 +1,479 @@
|
||||
//! Tests for verbose mode diagnostics (Story 7.4).
|
||||
//!
|
||||
//! Covers:
|
||||
//! - VerboseConfig default behavior
|
||||
//! - IterationDiagnostics collection
|
||||
//! - Jacobian condition number estimation
|
||||
//! - ConvergenceDiagnostics summary
|
||||
|
||||
use entropyk_solver::jacobian::JacobianMatrix;
|
||||
use entropyk_solver::{
|
||||
ConvergenceDiagnostics, IterationDiagnostics, SolverSwitchEvent, SolverType, SwitchReason,
|
||||
VerboseConfig, VerboseOutputFormat,
|
||||
};
|
||||
|
||||
// =============================================================================
|
||||
// Task 1: VerboseConfig Tests
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_verbose_config_default_is_disabled() {
|
||||
let config = VerboseConfig::default();
|
||||
|
||||
// All features should be disabled by default for backward compatibility
|
||||
assert!(!config.enabled, "enabled should be false by default");
|
||||
assert!(!config.log_residuals, "log_residuals should be false by default");
|
||||
assert!(
|
||||
!config.log_jacobian_condition,
|
||||
"log_jacobian_condition should be false by default"
|
||||
);
|
||||
assert!(
|
||||
!config.log_solver_switches,
|
||||
"log_solver_switches should be false by default"
|
||||
);
|
||||
assert!(
|
||||
!config.dump_final_state,
|
||||
"dump_final_state should be false by default"
|
||||
);
|
||||
assert_eq!(
|
||||
config.output_format,
|
||||
VerboseOutputFormat::Both,
|
||||
"output_format should default to Both"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_verbose_config_all_enabled() {
|
||||
let config = VerboseConfig::all_enabled();
|
||||
|
||||
assert!(config.enabled, "enabled should be true");
|
||||
assert!(config.log_residuals, "log_residuals should be true");
|
||||
assert!(config.log_jacobian_condition, "log_jacobian_condition should be true");
|
||||
assert!(config.log_solver_switches, "log_solver_switches should be true");
|
||||
assert!(config.dump_final_state, "dump_final_state should be true");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_verbose_config_is_any_enabled() {
|
||||
// All disabled
|
||||
let config = VerboseConfig::default();
|
||||
assert!(!config.is_any_enabled(), "no features should be enabled");
|
||||
|
||||
// Master switch off but features on
|
||||
let config = VerboseConfig {
|
||||
enabled: false,
|
||||
log_residuals: true,
|
||||
..Default::default()
|
||||
};
|
||||
assert!(
|
||||
!config.is_any_enabled(),
|
||||
"should be false when master switch is off"
|
||||
);
|
||||
|
||||
// Master switch on but all features off
|
||||
let config = VerboseConfig {
|
||||
enabled: true,
|
||||
..Default::default()
|
||||
};
|
||||
assert!(
|
||||
!config.is_any_enabled(),
|
||||
"should be false when no features are enabled"
|
||||
);
|
||||
|
||||
// Master switch on and one feature on
|
||||
let config = VerboseConfig {
|
||||
enabled: true,
|
||||
log_residuals: true,
|
||||
..Default::default()
|
||||
};
|
||||
assert!(config.is_any_enabled(), "should be true when one feature is enabled");
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// Task 2: IterationDiagnostics Tests
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_iteration_diagnostics_creation() {
|
||||
let diag = IterationDiagnostics {
|
||||
iteration: 5,
|
||||
residual_norm: 1e-4,
|
||||
delta_norm: 1e-5,
|
||||
alpha: Some(0.5),
|
||||
jacobian_frozen: true,
|
||||
jacobian_condition: Some(1e3),
|
||||
};
|
||||
|
||||
assert_eq!(diag.iteration, 5);
|
||||
assert!((diag.residual_norm - 1e-4).abs() < 1e-15);
|
||||
assert!((diag.delta_norm - 1e-5).abs() < 1e-15);
|
||||
assert_eq!(diag.alpha, Some(0.5));
|
||||
assert!(diag.jacobian_frozen);
|
||||
assert_eq!(diag.jacobian_condition, Some(1e3));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_iteration_diagnostics_without_alpha() {
|
||||
// Sequential Substitution doesn't use line search
|
||||
let diag = IterationDiagnostics {
|
||||
iteration: 3,
|
||||
residual_norm: 1e-3,
|
||||
delta_norm: 1e-4,
|
||||
alpha: None,
|
||||
jacobian_frozen: false,
|
||||
jacobian_condition: None,
|
||||
};
|
||||
|
||||
assert_eq!(diag.alpha, None);
|
||||
assert!(!diag.jacobian_frozen);
|
||||
assert_eq!(diag.jacobian_condition, None);
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// Task 3: Jacobian Condition Number Tests
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_jacobian_condition_number_well_conditioned() {
|
||||
// Identity-like matrix (well-conditioned)
|
||||
let entries = vec![(0, 0, 2.0), (1, 1, 1.0)];
|
||||
let j = JacobianMatrix::from_builder(&entries, 2, 2);
|
||||
|
||||
let cond = j.estimate_condition_number().expect("should compute condition number");
|
||||
|
||||
// Condition number of diagonal matrix is max/min diagonal entry
|
||||
assert!(
|
||||
cond < 10.0,
|
||||
"Expected low condition number for well-conditioned matrix, got {}",
|
||||
cond
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_jacobian_condition_number_ill_conditioned() {
|
||||
// Nearly singular matrix
|
||||
let entries = vec![
|
||||
(0, 0, 1.0),
|
||||
(0, 1, 1.0),
|
||||
(1, 0, 1.0),
|
||||
(1, 1, 1.0000001),
|
||||
];
|
||||
let j = JacobianMatrix::from_builder(&entries, 2, 2);
|
||||
|
||||
let cond = j.estimate_condition_number().expect("should compute condition number");
|
||||
|
||||
assert!(
|
||||
cond > 1e6,
|
||||
"Expected high condition number for ill-conditioned matrix, got {}",
|
||||
cond
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_jacobian_condition_number_identity() {
|
||||
// Identity matrix has condition number 1
|
||||
let entries = vec![(0, 0, 1.0), (1, 1, 1.0), (2, 2, 1.0)];
|
||||
let j = JacobianMatrix::from_builder(&entries, 3, 3);
|
||||
|
||||
let cond = j.estimate_condition_number().expect("should compute condition number");
|
||||
|
||||
assert!(
|
||||
(cond - 1.0).abs() < 1e-10,
|
||||
"Expected condition number 1 for identity matrix, got {}",
|
||||
cond
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_jacobian_condition_number_empty_matrix() {
|
||||
// Empty matrix (0x0)
|
||||
let j = JacobianMatrix::zeros(0, 0);
|
||||
|
||||
let cond = j.estimate_condition_number();
|
||||
|
||||
assert!(
|
||||
cond.is_none(),
|
||||
"Expected None for empty matrix"
|
||||
);
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// Task 4: SolverSwitchEvent Tests
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_solver_switch_event_creation() {
|
||||
let event = SolverSwitchEvent {
|
||||
from_solver: SolverType::NewtonRaphson,
|
||||
to_solver: SolverType::SequentialSubstitution,
|
||||
reason: SwitchReason::Divergence,
|
||||
iteration: 10,
|
||||
residual_at_switch: 1e6,
|
||||
};
|
||||
|
||||
assert_eq!(event.from_solver, SolverType::NewtonRaphson);
|
||||
assert_eq!(event.to_solver, SolverType::SequentialSubstitution);
|
||||
assert_eq!(event.reason, SwitchReason::Divergence);
|
||||
assert_eq!(event.iteration, 10);
|
||||
assert!((event.residual_at_switch - 1e6).abs() < 1e-6);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_solver_type_display() {
|
||||
assert_eq!(
|
||||
format!("{}", SolverType::NewtonRaphson),
|
||||
"Newton-Raphson"
|
||||
);
|
||||
assert_eq!(
|
||||
format!("{}", SolverType::SequentialSubstitution),
|
||||
"Sequential Substitution"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_switch_reason_display() {
|
||||
assert_eq!(format!("{}", SwitchReason::Divergence), "divergence detected");
|
||||
assert_eq!(
|
||||
format!("{}", SwitchReason::SlowConvergence),
|
||||
"slow convergence"
|
||||
);
|
||||
assert_eq!(format!("{}", SwitchReason::UserRequested), "user requested");
|
||||
assert_eq!(
|
||||
format!("{}", SwitchReason::ReturnToNewton),
|
||||
"returning to Newton after stabilization"
|
||||
);
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// Task 5: ConvergenceDiagnostics Tests
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_default() {
|
||||
let diag = ConvergenceDiagnostics::default();
|
||||
|
||||
assert_eq!(diag.iterations, 0);
|
||||
assert!((diag.final_residual - 0.0).abs() < 1e-15);
|
||||
assert!(!diag.converged);
|
||||
assert!(diag.iteration_history.is_empty());
|
||||
assert!(diag.solver_switches.is_empty());
|
||||
assert!(diag.final_state.is_none());
|
||||
assert!(diag.jacobian_condition_final.is_none());
|
||||
assert_eq!(diag.timing_ms, 0);
|
||||
assert!(diag.final_solver.is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_with_capacity() {
|
||||
let diag = ConvergenceDiagnostics::with_capacity(100);
|
||||
|
||||
// Capacity should be pre-allocated
|
||||
assert!(diag.iteration_history.capacity() >= 100);
|
||||
assert!(diag.iteration_history.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_push_iteration() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
|
||||
diag.push_iteration(IterationDiagnostics {
|
||||
iteration: 0,
|
||||
residual_norm: 1.0,
|
||||
delta_norm: 0.0,
|
||||
alpha: None,
|
||||
jacobian_frozen: false,
|
||||
jacobian_condition: None,
|
||||
});
|
||||
|
||||
diag.push_iteration(IterationDiagnostics {
|
||||
iteration: 1,
|
||||
residual_norm: 0.5,
|
||||
delta_norm: 0.5,
|
||||
alpha: Some(1.0),
|
||||
jacobian_frozen: false,
|
||||
jacobian_condition: Some(100.0),
|
||||
});
|
||||
|
||||
assert_eq!(diag.iteration_history.len(), 2);
|
||||
assert_eq!(diag.iteration_history[0].iteration, 0);
|
||||
assert_eq!(diag.iteration_history[1].iteration, 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_push_switch() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
|
||||
diag.push_switch(SolverSwitchEvent {
|
||||
from_solver: SolverType::NewtonRaphson,
|
||||
to_solver: SolverType::SequentialSubstitution,
|
||||
reason: SwitchReason::Divergence,
|
||||
iteration: 5,
|
||||
residual_at_switch: 1e10,
|
||||
});
|
||||
|
||||
assert_eq!(diag.solver_switches.len(), 1);
|
||||
assert_eq!(diag.solver_switches[0].iteration, 5);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_summary_converged() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 25;
|
||||
diag.final_residual = 1e-8;
|
||||
diag.best_residual = 1e-8;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = 150;
|
||||
diag.final_solver = Some(SolverType::NewtonRaphson);
|
||||
diag.jacobian_condition_final = Some(1e4);
|
||||
|
||||
let summary = diag.summary();
|
||||
|
||||
assert!(summary.contains("Converged: YES"));
|
||||
assert!(summary.contains("Iterations: 25"));
|
||||
// The format uses {:.3e} which produces like "1.000e-08"
|
||||
assert!(summary.contains("Final Residual:"));
|
||||
assert!(summary.contains("Solver Switches: 0"));
|
||||
assert!(summary.contains("Timing: 150 ms"));
|
||||
assert!(summary.contains("Jacobian Condition:"));
|
||||
assert!(summary.contains("Final Solver: Newton-Raphson"));
|
||||
// Should NOT contain ill-conditioned warning
|
||||
assert!(!summary.contains("WARNING"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_summary_ill_conditioned() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 100;
|
||||
diag.final_residual = 1e-2;
|
||||
diag.best_residual = 1e-3;
|
||||
diag.converged = false;
|
||||
diag.timing_ms = 500;
|
||||
diag.jacobian_condition_final = Some(1e12);
|
||||
|
||||
let summary = diag.summary();
|
||||
|
||||
assert!(summary.contains("Converged: NO"));
|
||||
assert!(summary.contains("WARNING: ill-conditioned"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_summary_with_switches() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 50;
|
||||
diag.final_residual = 1e-6;
|
||||
diag.best_residual = 1e-6;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = 200;
|
||||
|
||||
diag.push_switch(SolverSwitchEvent {
|
||||
from_solver: SolverType::NewtonRaphson,
|
||||
to_solver: SolverType::SequentialSubstitution,
|
||||
reason: SwitchReason::Divergence,
|
||||
iteration: 10,
|
||||
residual_at_switch: 1e10,
|
||||
});
|
||||
|
||||
let summary = diag.summary();
|
||||
|
||||
assert!(summary.contains("Solver Switches: 1"));
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// VerboseOutputFormat Tests
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_verbose_output_format_default() {
|
||||
let format = VerboseOutputFormat::default();
|
||||
assert_eq!(format, VerboseOutputFormat::Both);
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// JSON Serialization Tests (Story 7.4 - AC4)
|
||||
// =============================================================================
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_json_serialization() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 50;
|
||||
diag.final_residual = 1e-6;
|
||||
diag.best_residual = 1e-7;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = 250;
|
||||
diag.final_solver = Some(SolverType::NewtonRaphson);
|
||||
diag.jacobian_condition_final = Some(1e5);
|
||||
|
||||
diag.push_iteration(IterationDiagnostics {
|
||||
iteration: 1,
|
||||
residual_norm: 1.0,
|
||||
delta_norm: 0.5,
|
||||
alpha: Some(1.0),
|
||||
jacobian_frozen: false,
|
||||
jacobian_condition: Some(100.0),
|
||||
});
|
||||
|
||||
diag.push_switch(SolverSwitchEvent {
|
||||
from_solver: SolverType::NewtonRaphson,
|
||||
to_solver: SolverType::SequentialSubstitution,
|
||||
reason: SwitchReason::Divergence,
|
||||
iteration: 10,
|
||||
residual_at_switch: 1e6,
|
||||
});
|
||||
|
||||
// Test JSON serialization
|
||||
let json = serde_json::to_string(&diag).expect("Should serialize to JSON");
|
||||
assert!(json.contains("\"iterations\":50"));
|
||||
assert!(json.contains("\"converged\":true"));
|
||||
assert!(json.contains("\"NewtonRaphson\""));
|
||||
assert!(json.contains("\"Divergence\""));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_convergence_diagnostics_round_trip() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 25;
|
||||
diag.final_residual = 1e-8;
|
||||
diag.converged = true;
|
||||
diag.timing_ms = 100;
|
||||
diag.final_solver = Some(SolverType::SequentialSubstitution);
|
||||
|
||||
// Serialize to JSON
|
||||
let json = serde_json::to_string(&diag).expect("Should serialize");
|
||||
|
||||
// Deserialize back
|
||||
let restored: ConvergenceDiagnostics =
|
||||
serde_json::from_str(&json).expect("Should deserialize");
|
||||
|
||||
assert_eq!(restored.iterations, 25);
|
||||
assert!((restored.final_residual - 1e-8).abs() < 1e-20);
|
||||
assert!(restored.converged);
|
||||
assert_eq!(restored.timing_ms, 100);
|
||||
assert_eq!(restored.final_solver, Some(SolverType::SequentialSubstitution));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_dump_diagnostics_json_format() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 10;
|
||||
diag.final_residual = 1e-4;
|
||||
diag.converged = false;
|
||||
|
||||
let json_output = diag.dump_diagnostics(VerboseOutputFormat::Json);
|
||||
assert!(json_output.starts_with('{'));
|
||||
// to_string_pretty adds spaces after colons
|
||||
assert!(json_output.contains("\"iterations\"") && json_output.contains("10"));
|
||||
assert!(json_output.contains("\"converged\"") && json_output.contains("false"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_dump_diagnostics_log_format() {
|
||||
let mut diag = ConvergenceDiagnostics::new();
|
||||
diag.iterations = 10;
|
||||
diag.final_residual = 1e-4;
|
||||
diag.converged = false;
|
||||
|
||||
let log_output = diag.dump_diagnostics(VerboseOutputFormat::Log);
|
||||
assert!(log_output.contains("Convergence Diagnostics Summary"));
|
||||
assert!(log_output.contains("Converged: NO"));
|
||||
assert!(log_output.contains("Iterations: 10"));
|
||||
}
|
||||
Reference in New Issue
Block a user