slint/internal/core/model/adapters.rs

415 lines
13 KiB
Rust

// Copyright © SixtyFPS GmbH <info@slint-ui.com>
// SPDX-License-Identifier: GPL-3.0-only OR LicenseRef-Slint-commercial
//! This module contains adapter models.
use super::*;
/// Provides rows that are generated by a map function based on the rows of another Model
///
/// When the other Model is updated, the `MapModel` is updated accordingly.
///
/// ## Example
///
/// Here we have a [`VecModel`] holding rows of a custom type `Name`.
/// It is then mapped into a `MapModel` of [`SharedString`]s
///
/// ```
/// # use slint::{Model, VecModel, SharedString, MapModel};
/// #[derive(Clone)]
/// struct Name {
/// first: String,
/// last: String,
/// }
///
/// let model = VecModel::from(vec![
/// Name { first: "Hans".to_string(), last: "Emil".to_string() },
/// Name { first: "Max".to_string(), last: "Mustermann".to_string() },
/// Name { first: "Roman".to_string(), last: "Tisch".to_string() },
/// ]);
///
/// let mapped_model = MapModel::new(model, |n|
/// slint::format!("{}, {}", n.last, n.first)
/// );
///
/// assert_eq!(mapped_model.row_data(0).unwrap(), SharedString::from("Emil, Hans"));
/// assert_eq!(mapped_model.row_data(1).unwrap(), SharedString::from("Mustermann, Max"));
/// assert_eq!(mapped_model.row_data(2).unwrap(), SharedString::from("Tisch, Roman"));
///
/// ```
///
/// Alternatively you can use the shortcut [`ModelExt::map`].
/// ```
/// # use slint::{Model, ModelExt, VecModel, SharedString, MapModel};
/// # #[derive(Clone)]
/// # struct Name {
/// # first: String,
/// # last: String,
/// # }
/// let mapped_model = VecModel::from(vec![
/// Name { first: "Hans".to_string(), last: "Emil".to_string() },
/// Name { first: "Max".to_string(), last: "Mustermann".to_string() },
/// Name { first: "Roman".to_string(), last: "Tisch".to_string() },
/// ])
/// .map(|n| slint::format!("{}, {}", n.last, n.first));
/// # assert_eq!(mapped_model.row_data(0).unwrap(), SharedString::from("Emil, Hans"));
/// # assert_eq!(mapped_model.row_data(1).unwrap(), SharedString::from("Mustermann, Max"));
/// # assert_eq!(mapped_model.row_data(2).unwrap(), SharedString::from("Tisch, Roman"));
/// ```
///
/// If you want to modify the underlying [`VecModel`] you can give it a [`Rc`] of the MapModel:
/// ```
/// # use std::rc::Rc;
/// # use slint::{Model, VecModel, SharedString, MapModel};
/// # #[derive(Clone)]
/// # struct Name {
/// # first: String,
/// # last: String,
/// # }
/// let model = Rc::new(VecModel::from(vec![
/// Name { first: "Hans".to_string(), last: "Emil".to_string() },
/// Name { first: "Max".to_string(), last: "Mustermann".to_string() },
/// Name { first: "Roman".to_string(), last: "Tisch".to_string() },
/// ]));
///
/// let mapped_model = MapModel::new(model.clone(), |n|
/// slint::format!("{}, {}", n.last, n.first)
/// );
///
/// model.set_row_data(1, Name { first: "Minnie".to_string(), last: "Musterfrau".to_string() });
///
/// assert_eq!(mapped_model.row_data(0).unwrap(), SharedString::from("Emil, Hans"));
/// assert_eq!(mapped_model.row_data(1).unwrap(), SharedString::from("Musterfrau, Minnie"));
/// assert_eq!(mapped_model.row_data(2).unwrap(), SharedString::from("Tisch, Roman"));
///
/// ```
pub struct MapModel<M, F> {
wrapped_model: M,
map_function: F,
}
impl<M, F, T, U> Model for MapModel<M, F>
where
M: 'static,
F: 'static,
F: Fn(T) -> U,
M: Model<Data = T>,
{
type Data = U;
fn row_count(&self) -> usize {
self.wrapped_model.row_count()
}
fn row_data(&self, row: usize) -> Option<Self::Data> {
self.wrapped_model.row_data(row).map(|x| (self.map_function)(x))
}
fn model_tracker(&self) -> &dyn ModelTracker {
self.wrapped_model.model_tracker()
}
fn as_any(&self) -> &dyn core::any::Any {
self
}
}
impl<M, F, T, U> MapModel<M, F>
where
M: 'static,
F: 'static,
F: Fn(T) -> U,
M: Model<Data = T>,
{
pub fn new(model: M, map_function: F) -> Self {
Self { wrapped_model: model, map_function }
}
}
#[test]
fn test_map_model() {
let wrapped_rc = Rc::new(VecModel::from(vec![1, 2, 3]));
let map = MapModel::new(wrapped_rc.clone(), |x| x.to_string());
wrapped_rc.set_row_data(2, 42);
wrapped_rc.push(4);
assert_eq!(map.row_data(2).unwrap(), "42");
assert_eq!(map.row_data(3).unwrap(), "4");
assert_eq!(map.row_data(1).unwrap(), "2");
}
struct FilterModelInner<M, F>
where
M: Model + 'static,
F: Fn(&M::Data) -> bool + 'static,
{
wrapped_model: M,
filter_function: F,
// This vector saves the indices of the elements that are not filtered out
mapping: RefCell<Vec<usize>>,
notify: ModelNotify,
}
impl<M, F> FilterModelInner<M, F>
where
M: Model + 'static,
F: Fn(&M::Data) -> bool + 'static,
{
fn build_mapping_vec(&self) {
let mut mapping = self.mapping.borrow_mut();
*mapping = self
.wrapped_model
.iter()
.enumerate()
.filter_map(|(i, e)| (self.filter_function)(&e).then(|| i))
.collect();
}
}
impl<M, F> ModelChangeListener for FilterModelInner<M, F>
where
M: Model + 'static,
F: Fn(&M::Data) -> bool + 'static,
{
fn row_changed(&self, row: usize) {
let mut mapping = self.mapping.borrow_mut();
let (index, is_contained) = match mapping.binary_search(&row) {
Ok(index) => (index, true),
Err(index) => (index, false),
};
let should_be_contained =
(self.filter_function)(&self.wrapped_model.row_data(row).unwrap());
if is_contained && should_be_contained {
drop(mapping);
self.notify.row_changed(index);
} else if !is_contained && should_be_contained {
mapping.insert(index, row);
drop(mapping);
self.notify.row_added(index, 1);
} else if is_contained && !should_be_contained {
mapping.remove(index);
drop(mapping);
self.notify.row_removed(index, 1);
}
}
fn row_added(&self, index: usize, count: usize) {
if count == 0 {
return;
}
let insertion: Vec<usize> = self
.wrapped_model
.iter()
.enumerate()
.skip(index)
.take(count)
.filter_map(|(i, e)| (self.filter_function)(&e).then(|| i))
.collect();
if !insertion.is_empty() {
let mut mapping = self.mapping.borrow_mut();
let insertion_point = mapping.binary_search(&index).unwrap_or_else(|ip| ip);
let old_mapping_len = mapping.len();
mapping.resize(old_mapping_len + insertion.len(), 0);
mapping
.copy_within(insertion_point..old_mapping_len, insertion_point + insertion.len());
mapping[insertion_point..insertion_point + insertion.len()].copy_from_slice(&insertion);
mapping.iter_mut().skip(insertion_point + insertion.len()).for_each(|i| *i += count);
drop(mapping);
self.notify.row_added(insertion_point, insertion.len());
}
}
fn row_removed(&self, index: usize, count: usize) {
if count == 0 {
return;
}
let mut mapping = self.mapping.borrow_mut();
let start = mapping.binary_search(&index).unwrap_or_else(|s| s);
let end = mapping.binary_search(&(index + count)).unwrap_or_else(|e| e);
let range = start..end;
if !range.is_empty() {
mapping.copy_within(end.., start);
let new_size = mapping.len() - range.len();
mapping.truncate(new_size);
mapping.iter_mut().skip(start).for_each(|i| *i -= count);
drop(mapping);
self.notify.row_removed(start, range.len());
}
}
fn reset(&self) {
self.build_mapping_vec();
self.notify.reset();
}
}
/// Provides a filtered subset of rows by another [`Model`].
///
/// When the other Model is updated, the `FilterModel` is updated accordingly.
///
/// ## Example
///
/// Here we have a [`VecModel`] holding [`SharedString`]s.
/// It is then filtered into a `FilterModel`.
///
/// ```
/// # use slint::{Model, VecModel, SharedString, FilterModel};
/// let model = VecModel::from(vec![
/// SharedString::from("Lorem"),
/// SharedString::from("ipsum"),
/// SharedString::from("dolor"),
/// ]);
///
/// let filtered_model = FilterModel::new(model, |s| s.contains('o'));
///
/// assert_eq!(filtered_model.row_data(0).unwrap(), SharedString::from("Lorem"));
/// assert_eq!(filtered_model.row_data(1).unwrap(), SharedString::from("dolor"));
/// ```
///
/// Alternatively you can use the shortcut [`ModelExt::filter`].
/// ```
/// # use slint::{Model, ModelExt, VecModel, SharedString, FilterModel};
/// let filtered_model = VecModel::from(vec![
/// SharedString::from("Lorem"),
/// SharedString::from("ipsum"),
/// SharedString::from("dolor"),
/// ]).filter(|s| s.contains('o'));
/// # assert_eq!(filtered_model.row_data(0).unwrap(), SharedString::from("Lorem"));
/// # assert_eq!(filtered_model.row_data(1).unwrap(), SharedString::from("dolor"));
/// ```
///
/// If you want to modify the underlying [`VecModel`] you can give it a [`Rc`] of the FilterModel:
/// ```
/// # use std::rc::Rc;
/// # use slint::{Model, VecModel, SharedString, FilterModel};
/// let model = Rc::new(VecModel::from(vec![
/// SharedString::from("Lorem"),
/// SharedString::from("ipsum"),
/// SharedString::from("dolor"),
/// ]));
///
/// let filtered_model = FilterModel::new(model.clone(), |s| s.contains('o'));
///
/// assert_eq!(filtered_model.row_data(0).unwrap(), SharedString::from("Lorem"));
/// assert_eq!(filtered_model.row_data(1).unwrap(), SharedString::from("dolor"));
///
/// model.set_row_data(1, SharedString::from("opsom"));
///
/// assert_eq!(filtered_model.row_data(0).unwrap(), SharedString::from("Lorem"));
/// assert_eq!(filtered_model.row_data(1).unwrap(), SharedString::from("opsom"));
/// assert_eq!(filtered_model.row_data(2).unwrap(), SharedString::from("dolor"));
/// ```
pub struct FilterModel<M, F>(Pin<Box<ModelChangeListenerContainer<FilterModelInner<M, F>>>>)
where
M: Model + 'static,
F: Fn(&M::Data) -> bool + 'static;
impl<M, F> FilterModel<M, F>
where
M: Model + 'static,
F: Fn(&M::Data) -> bool + 'static,
{
/// Creates a new FilterModel based on the given `wrapped_model` and filtered by `filter_function`.
/// Alternativly you can use [`ModelExt::filter`] on your Model.
pub fn new(wrapped_model: M, filter_function: F) -> Self {
let filter_model_inner = FilterModelInner {
wrapped_model,
filter_function,
mapping: RefCell::new(Vec::new()),
notify: Default::default(),
};
filter_model_inner.build_mapping_vec();
let container = Box::pin(ModelChangeListenerContainer::new(filter_model_inner));
container.wrapped_model.model_tracker().attach_peer(container.as_ref().model_peer());
Self(container)
}
/// Manually reapply the filter. You need to run this e.g. if the filtering function compares
/// against mutable state and it has changed.
pub fn apply_filter(&self) {
self.0.reset();
}
/// Gets the row index of the underlying unfiltered model for a given filtered row index.
pub fn unfiltered_row(&self, filtered_row: usize) -> usize {
self.0.mapping.borrow()[filtered_row]
}
}
impl<M, F> Model for FilterModel<M, F>
where
M: Model + 'static,
F: Fn(&M::Data) -> bool + 'static,
{
type Data = M::Data;
fn row_count(&self) -> usize {
self.0.mapping.borrow().len()
}
fn row_data(&self, row: usize) -> Option<Self::Data> {
self.0
.mapping
.borrow()
.get(row)
.map(|&wrapped_row| self.0.wrapped_model.row_data(wrapped_row).unwrap())
}
fn model_tracker(&self) -> &dyn ModelTracker {
&self.0.notify
}
}
#[test]
fn test_filter_model() {
let wrapped_rc = Rc::new(VecModel::from(vec![1, 2, 3, 4, 5, 6]));
let filter = FilterModel::new(wrapped_rc.clone(), |x| x % 2 == 0);
assert_eq!(filter.row_data(0).unwrap(), 2);
assert_eq!(filter.row_data(1).unwrap(), 4);
assert_eq!(filter.row_data(2).unwrap(), 6);
assert_eq!(filter.row_count(), 3);
wrapped_rc.remove(1);
assert_eq!(filter.row_data(0).unwrap(), 4);
assert_eq!(filter.row_data(1).unwrap(), 6);
assert_eq!(filter.row_count(), 2);
wrapped_rc.push(8);
wrapped_rc.push(7);
assert_eq!(filter.row_data(0).unwrap(), 4);
assert_eq!(filter.row_data(1).unwrap(), 6);
assert_eq!(filter.row_data(2).unwrap(), 8);
assert_eq!(filter.row_count(), 3);
wrapped_rc.set_row_data(1, 2);
assert_eq!(filter.row_data(0).unwrap(), 2);
assert_eq!(filter.row_data(1).unwrap(), 4);
assert_eq!(filter.row_data(2).unwrap(), 6);
assert_eq!(filter.row_data(3).unwrap(), 8);
assert_eq!(filter.row_count(), 4);
wrapped_rc.insert(2, 12);
assert_eq!(filter.row_data(0).unwrap(), 2);
assert_eq!(filter.row_data(1).unwrap(), 12);
assert_eq!(filter.row_data(2).unwrap(), 4);
assert_eq!(filter.row_data(3).unwrap(), 6);
assert_eq!(filter.row_data(4).unwrap(), 8);
assert_eq!(filter.row_count(), 5);
}