nyx_space/od/process/conf.rs
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/*
Nyx, blazing fast astrodynamics
Copyright (C) 2018-onwards Christopher Rabotin <christopher.rabotin@gmail.com>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
use crate::time::{Duration, Epoch};
use crate::NyxError;
use std::convert::TryFrom;
use std::default::Default;
use std::fmt;
use typed_builder::TypedBuilder;
#[cfg(feature = "python")]
use pyo3::prelude::*;
/// Defines the stopping condition for the smoother
#[derive(Clone, Copy, Debug)]
pub enum SmoothingArc {
/// Stop smoothing when the gap between estimate is the provided floating point number in seconds
TimeGap(Duration),
/// Stop smoothing at the provided Epoch.
Epoch(Epoch),
/// Stop smoothing at the first prediction
Prediction,
/// Only stop once all estimates have been processed
All,
}
impl fmt::Display for SmoothingArc {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
match *self {
SmoothingArc::All => write!(f, "all estimates"),
SmoothingArc::Epoch(e) => write!(f, "{e}"),
SmoothingArc::TimeGap(g) => write!(f, "time gap of {g}"),
SmoothingArc::Prediction => write!(f, "first prediction"),
}
}
}
impl Default for SmoothingArc {
fn default() -> Self {
Self::All
}
}
/// Defines a filter iteration configuration. Allows iterating on an OD solution until convergence criteria is met.
/// The root mean squared of the prefit residuals ratios is used to assess convergence between iterations.
#[derive(Clone, Copy, Debug, TypedBuilder)]
#[cfg_attr(feature = "python", pyclass)]
pub struct IterationConf {
/// The number of measurements to account for in the iteration
#[builder(default)]
pub smoother: SmoothingArc,
/// The absolute tolerance of the RMS prefit residual ratios
#[builder(default = 1e-1)]
pub absolute_tol: f64,
/// The relative tolerance between the latest RMS prefit residual ratios and the best RMS prefit residual ratios so far
#[builder(default = 1e-2)]
pub relative_tol: f64,
/// The maximum number of iterations to allow (will raise an error if the filter has not converged after this many iterations)
#[builder(default = 15)]
pub max_iterations: usize,
/// The maximum number of subsequent divergences in RMS.
#[builder(default = 3)]
pub max_divergences: usize,
/// Set to true to force an ODP failure when the convergence criteria is not met
#[builder(default = false)]
pub force_failure: bool,
}
impl IterationConf {
/// Iterate and smooth only once
pub fn once() -> Self {
Self {
max_iterations: 1,
..Default::default()
}
}
}
#[cfg(feature = "python")]
#[pymethods]
impl IterationConf {
#[new]
fn py_new(
strategy: Option<String>,
duration: Option<Duration>,
epoch: Option<Epoch>,
absolute_tol: Option<f64>,
relative_tol: Option<f64>,
max_iterations: Option<usize>,
max_divergences: Option<usize>,
force_failure: Option<bool>,
) -> Result<Self, NyxError> {
let mut me = Self {
smoother: if let Some(strategy) = strategy {
match strategy.to_lowercase().trim() {
"all" => SmoothingArc::All,
"prediction" => SmoothingArc::Prediction,
_ => {
return Err(NyxError::CustomError {
msg: "strategy should be `all` or `prediction`".to_string(),
})
}
}
} else if let Some(duration) = duration {
SmoothingArc::TimeGap(duration)
} else if let Some(epoch) = epoch {
SmoothingArc::Epoch(epoch)
} else {
return Err(NyxError::CustomError {
msg: "Smoothing arc strategy not specified".to_string(),
});
},
..Default::default()
};
if let Some(abs_tol) = absolute_tol {
me.absolute_tol = abs_tol;
}
if let Some(rel_tol) = relative_tol {
me.relative_tol = rel_tol;
}
if let Some(max_it) = max_iterations {
me.max_iterations = max_it;
}
if let Some(max_div) = max_divergences {
me.max_divergences = max_div;
}
if let Some(force_failure) = force_failure {
me.force_failure = force_failure;
}
Ok(me)
}
fn __repr__(&self) -> String {
format!("{self}")
}
fn __str__(&self) -> String {
format!("Smoothing {self}")
}
}
impl Default for IterationConf {
/// The default absolute tolerance is 1e-2 (calibrated on an EKF with error).
fn default() -> Self {
Self {
smoother: SmoothingArc::All,
absolute_tol: 1e-1,
relative_tol: 1e-2,
max_iterations: 15,
max_divergences: 3,
force_failure: false,
}
}
}
impl fmt::Display for IterationConf {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
write!(f, "Iterate until abs = {:.2e}, or rel = {:.2e}, or {} iterations, or {} subsequent divergences with smoothing condition of {}",
self.absolute_tol,
self.relative_tol,
self.max_iterations,
self.max_divergences,
self.smoother)
}
}
impl TryFrom<SmoothingArc> for IterationConf {
type Error = NyxError;
/// Converts a smoother into an interation configuration to iterate just once without failing
fn try_from(smoother: SmoothingArc) -> Result<Self, Self::Error> {
Ok(Self {
smoother,
force_failure: false,
..Default::default()
})
}
}