use std::io::BufRead;
use std::path::Path;
use crate::data::ImageData;
use crate::types::VtkError;
use crate::io::xml::vtp_reader::{
extract_section, extract_attr, parse_attribute_arrays,
extract_appended_raw, extract_appended_base64,
};
pub struct VtiReader;
impl VtiReader {
pub fn read(path: &Path) -> Result<ImageData, VtkError> {
let file = std::fs::File::open(path)?;
let reader = std::io::BufReader::new(file);
Self::read_from(reader)
}
pub fn read_from<R: BufRead>(reader: R) -> Result<ImageData, VtkError> {
let content: String = reader
.lines()
.collect::<Result<Vec<_>, _>>()
.map_err(VtkError::Io)?
.join("\n");
let appended_raw = extract_appended_raw(&content);
let appended_b64 = extract_appended_base64(&content);
let mut image = ImageData::new();
if let Some(id_tag) = find_tag(&content, "ImageData") {
if let Some(extent_str) = extract_attr(&id_tag, "WholeExtent") {
let vals: Vec<i64> = extent_str
.split_whitespace()
.filter_map(|s| s.parse().ok())
.collect();
if vals.len() == 6 {
image.set_extent([vals[0], vals[1], vals[2], vals[3], vals[4], vals[5]]);
}
}
if let Some(origin_str) = extract_attr(&id_tag, "Origin") {
let vals: Vec<f64> = origin_str
.split_whitespace()
.filter_map(|s| s.parse().ok())
.collect();
if vals.len() == 3 {
image.set_origin([vals[0], vals[1], vals[2]]);
}
}
if let Some(spacing_str) = extract_attr(&id_tag, "Spacing") {
let vals: Vec<f64> = spacing_str
.split_whitespace()
.filter_map(|s| s.parse().ok())
.collect();
if vals.len() == 3 {
image.set_spacing([vals[0], vals[1], vals[2]]);
}
}
}
if let Some(pd_section) = extract_section(&content, "PointData") {
parse_attribute_arrays(&pd_section, image.point_data_mut(), appended_raw.as_deref(), appended_b64.as_deref())?;
}
if let Some(cd_section) = extract_section(&content, "CellData") {
parse_attribute_arrays(&cd_section, image.cell_data_mut(), appended_raw.as_deref(), appended_b64.as_deref())?;
}
Ok(image)
}
}
fn find_tag(content: &str, tag: &str) -> Option<String> {
let pattern = format!("<{}", tag);
let start = content.find(&pattern)?;
let end = content[start..].find('>')?;
Some(content[start..start + end + 1].to_string())
}
#[cfg(test)]
mod tests {
use super::*;
use crate::io::xml::VtiWriter;
use crate::data::{DataArray as DA, DataSet};
#[test]
fn roundtrip_vti() {
let mut img = ImageData::with_dimensions(3, 4, 5);
img.set_spacing([0.5, 0.5, 0.5]);
img.set_origin([1.0, 2.0, 3.0]);
let n = img.num_points();
let scalars: Vec<f64> = (0..n).map(|i| i as f64 * 0.1).collect();
let arr = DA::from_vec("density", scalars, 1);
img.point_data_mut().add_array(arr.into());
img.point_data_mut().set_active_scalars("density");
let mut buf = Vec::new();
VtiWriter::write_to(&mut buf, &img).unwrap();
let reader = std::io::BufReader::new(&buf[..]);
let result = VtiReader::read_from(reader).unwrap();
assert_eq!(result.dimensions(), [3, 4, 5]);
assert_eq!(result.spacing(), [0.5, 0.5, 0.5]);
assert_eq!(result.origin(), [1.0, 2.0, 3.0]);
let s = result.point_data().scalars().unwrap();
assert_eq!(s.num_tuples(), 60);
let mut val = [0.0f64];
s.tuple_as_f64(10, &mut val);
assert!((val[0] - 1.0).abs() < 1e-6);
}
#[test]
fn roundtrip_vti_no_data() {
let mut img = ImageData::with_dimensions(2, 2, 2);
img.set_spacing([1.0, 2.0, 3.0]);
let mut buf = Vec::new();
VtiWriter::write_to(&mut buf, &img).unwrap();
let reader = std::io::BufReader::new(&buf[..]);
let result = VtiReader::read_from(reader).unwrap();
assert_eq!(result.dimensions(), [2, 2, 2]);
assert_eq!(result.spacing(), [1.0, 2.0, 3.0]);
}
}