use bids_core::error::Result;
use bids_core::file::BidsFile;
use bids_eeg::data::{Annotation, EegData, ReadOptions, read_brainvision_markers, read_eeg_data};
use bids_layout::BidsLayout;
pub struct IeegLayout<'a> {
layout: &'a BidsLayout,
}
impl<'a> IeegLayout<'a> {
pub fn new(layout: &'a BidsLayout) -> Self {
Self { layout }
}
pub fn get_ieeg_files(&self) -> Result<Vec<BidsFile>> {
self.layout.get().suffix("ieeg").collect()
}
pub fn get_ieeg_files_for_subject(&self, sub: &str) -> Result<Vec<BidsFile>> {
self.layout.get().suffix("ieeg").subject(sub).collect()
}
pub fn get_ieeg_files_for_task(&self, task: &str) -> Result<Vec<BidsFile>> {
self.layout.get().suffix("ieeg").task(task).collect()
}
pub fn get_channels(&self, f: &BidsFile) -> Result<Option<Vec<bids_eeg::Channel>>> {
bids_core::try_read_companion(&f.companion("channels", "tsv"), bids_eeg::read_channels_tsv)
}
pub fn get_electrodes(&self, f: &BidsFile) -> Result<Option<Vec<super::IeegElectrode>>> {
bids_core::try_read_companion(
&f.companion("electrodes", "tsv"),
super::read_ieeg_electrodes,
)
}
pub fn get_events(&self, f: &BidsFile) -> Result<Option<Vec<bids_eeg::EegEvent>>> {
bids_core::try_read_companion(&f.companion("events", "tsv"), bids_eeg::read_events_tsv)
}
pub fn get_coordsystem(&self, f: &BidsFile) -> Result<Option<super::IeegCoordSystem>> {
let p = f.companion("coordsystem", "json");
if p.exists() {
Ok(Some(super::IeegCoordSystem::from_file(&p)?))
} else {
Ok(None)
}
}
pub fn get_metadata(&self, f: &BidsFile) -> Result<Option<super::IeegMetadata>> {
Ok(self.layout.get_metadata(&f.path)?.deserialize_as())
}
pub fn read_data(&self, f: &BidsFile, opts: &ReadOptions) -> Result<EegData> {
read_eeg_data(&f.path, opts)
}
pub fn read_data_channels(&self, f: &BidsFile, channels: &[&str]) -> Result<EegData> {
let opts = ReadOptions::new().with_channels(
channels
.iter()
.map(std::string::ToString::to_string)
.collect(),
);
self.read_data(f, &opts)
}
pub fn read_data_time_range(&self, f: &BidsFile, start: f64, end: f64) -> Result<EegData> {
let opts = ReadOptions::new().with_time_range(start, end);
self.read_data(f, &opts)
}
pub fn get_brainvision_markers(
&self,
f: &BidsFile,
sampling_rate: f64,
) -> Result<Vec<Annotation>> {
let vmrk_path = f.path.with_extension("vmrk");
if vmrk_path.exists() {
read_brainvision_markers(&vmrk_path, sampling_rate)
} else {
Ok(Vec::new())
}
}
pub fn get_all_channels_files(&self) -> Result<Vec<BidsFile>> {
self.layout
.get()
.suffix("channels")
.datatype("ieeg")
.extension("tsv")
.collect()
}
pub fn get_all_electrodes_files(&self) -> Result<Vec<BidsFile>> {
self.layout
.get()
.suffix("electrodes")
.datatype("ieeg")
.extension("tsv")
.collect()
}
pub fn get_all_events_files(&self) -> Result<Vec<BidsFile>> {
self.layout
.get()
.suffix("events")
.datatype("ieeg")
.extension("tsv")
.collect()
}
pub fn get_ieeg_subjects(&self) -> Result<Vec<String>> {
self.layout.get().suffix("ieeg").return_unique("subject")
}
pub fn get_ieeg_tasks(&self) -> Result<Vec<String>> {
self.layout.get().suffix("ieeg").return_unique("task")
}
pub fn summary(&self) -> Result<super::IeegSummary> {
let files = self.get_ieeg_files()?;
let subjects = self.get_ieeg_subjects()?;
let tasks = self.get_ieeg_tasks()?;
let sf = files
.first()
.and_then(|f| self.get_metadata(f).ok().flatten())
.map(|m| m.sampling_frequency);
let ch = files
.first()
.and_then(|f| self.get_channels(f).ok().flatten())
.map(|c| c.len());
Ok(super::IeegSummary {
n_subjects: subjects.len(),
n_recordings: files.len(),
subjects,
tasks,
sampling_frequency: sf,
channel_count: ch,
})
}
}