formatting tags

This commit is contained in:
2026-05-25 12:23:32 +03:00
parent 3c27238b72
commit 8e18e82202
6 changed files with 374 additions and 95 deletions
+202 -42
View File
@@ -6,6 +6,7 @@ use crate::AppState;
use chrono::{DateTime, Utc};
use rand::distr::weighted::WeightedIndex;
use rand::distr::Distribution;
use rand::prelude::SliceRandom;
use rand::rng;
use rand::rngs::ThreadRng;
use serde::{Deserialize, Serialize};
@@ -299,7 +300,7 @@ impl CardStatistics {
}
}
#[derive(Clone)]
#[derive(Clone, Copy)]
pub enum WordOpenMode {
Easy,
Ok,
@@ -311,11 +312,9 @@ pub enum WordOpenMode {
pub struct CardSet {
words: Vec<WordData>,
set: Vec<CardStatistics>,
last_weights: WeightedIndex<f32>,
current_word_index: Option<usize>,
generator: ThreadRng,
state: Arc<Mutex<AppState>>,
history: Vec<usize>,
order_module: OrderModule,
}
impl CardSet {
@@ -331,14 +330,12 @@ impl CardSet {
last_list
.iter()
.filter(|word| !saved_ids.contains(&word.id))
.map(|word| {
CardStatistics {
id: 0,
word_id: word.id.clone(),
last_open: Utc::now(),
score: 1,
set_id: settings.id.clone(),
}
.map(|word| CardStatistics {
id: 0,
word_id: word.id.clone(),
last_open: Utc::now(),
score: 1,
set_id: settings.id.clone(),
})
.for_each(|mut new_statistic| {
add_stat(&mut new_statistic, &state_locked.connection);
@@ -355,34 +352,49 @@ impl CardSet {
}
}
let weights = current_set
.iter()
.map(|s| (100.0 / s.calculated_score()).powf(2.0) * 2.0)
.collect::<Vec<f32>>();
let indexes = WeightedIndex::new(weights).unwrap();
Self {
set: current_set,
words: last_list,
last_weights: indexes,
current_word_index: None,
generator: rng(),
state: state_for,
history: vec![],
order_module: match settings.open_mode {
SetOrderMode::Default => OrderModule::SemiRandomSRS(SemiRandomSRSModule::new()),
SetOrderMode::TrainWorstFirst => {
OrderModule::WorstWordsSRS(WorstWordsSRSModule::new())
}
SetOrderMode::FullRandom => OrderModule::RandomSRS(RandomSRSModule::new()),
},
}
}
pub fn next(&mut self) -> (WordData, CardStatistics) {
let index = self.last_weights.sample(&mut self.generator);
let index = match self.order_module.clone() {
OrderModule::SemiRandomSRS(mut module) => {
if module.initializated == false {
module.init(self)
}
let index = module.next(self);
self.order_module = OrderModule::SemiRandomSRS(module);
index
}
OrderModule::RandomSRS(mut module) => {
if module.initializated == false {
module.init(self)
}
let index = module.next(self);
self.order_module = OrderModule::RandomSRS(module);
index
}
OrderModule::WorstWordsSRS(mut module) => {
if module.initializated == false {
module.init(self)
}
let index = module.next(self);
self.order_module = OrderModule::WorstWordsSRS(module);
index
}
};
if self.history.contains(&index) {
return self.next();
}
if self.history.len() == self.history_len() {
self.history.remove(0);
}
self.history.push(index);
self.current_word_index = Some(index);
(self.words[index].clone(), self.set[index].clone())
}
@@ -391,24 +403,172 @@ impl CardSet {
if let None = self.current_word_index {
return;
}
let index = self.current_word_index.unwrap();
let word = &mut self.set[self.current_word_index.unwrap()];
let word = &mut self.set[index];
word.update(status);
let new_weight = (100.0 / word.calculated_score()).powf(2.0);
self.last_weights
.update_weights(&[(self.current_word_index.unwrap(), &new_weight)])
.unwrap();
{ update_stat_score(word, &self.state.lock().unwrap().connection) }
}
fn history_len(&self) -> usize {
min(
MAX_HISTORY_LEN,
(self.set.len() as f32 * MAX_HISTORY_LEN_PART) as usize,
)
match self.order_module.clone() {
OrderModule::SemiRandomSRS(mut module) => {
module.open(status, index, word.clone());
self.order_module = OrderModule::SemiRandomSRS(module);
}
OrderModule::RandomSRS(mut module) => {
module.open(status, index, word.clone());
self.order_module = OrderModule::RandomSRS(module);
}
OrderModule::WorstWordsSRS(mut module) => {
module.open(status, index, word.clone());
self.order_module = OrderModule::WorstWordsSRS(module);
}
}
update_stat_score(word, &self.state.lock().unwrap().connection)
}
pub fn len(&self) -> usize {
self.set.len()
}
}
#[derive(Clone, PartialEq, Copy, Eq)]
pub(crate) enum SetOrderMode {
Default,
TrainWorstFirst,
FullRandom,
}
#[derive(Clone)]
enum OrderModule {
SemiRandomSRS(SemiRandomSRSModule),
RandomSRS(RandomSRSModule),
WorstWordsSRS(WorstWordsSRSModule),
}
trait SRSModule {
fn next(&mut self, set: &mut CardSet) -> usize;
fn open(&mut self, status: WordOpenMode, index: usize, updated_word: CardStatistics);
fn init(&mut self, set: &mut CardSet);
}
#[derive(Clone)]
struct RandomSRSModule {
backet: Vec<usize>,
initializated: bool,
}
impl RandomSRSModule {
fn new() -> RandomSRSModule {
Self{
backet: vec![],
initializated: false,
}
}
}
impl SRSModule for RandomSRSModule {
fn next(&mut self, set: &mut CardSet) -> usize {
if self.backet.is_empty() {
self.backet = (0..set.words.len()).collect::<Vec<usize>>();
self.backet.shuffle(&mut rand::rng())
}
self.backet.pop().unwrap()
}
fn open(&mut self, _: WordOpenMode, _: usize, _: CardStatistics) {}
fn init(&mut self, set: &mut CardSet) {
self.initializated = true;
self.backet = (0..set.words.len()).collect::<Vec<usize>>();
self.backet.shuffle(&mut rand::rng())
}
}
#[derive(Clone)]
struct SemiRandomSRSModule {
history: Vec<usize>,
last_weights: WeightedIndex<f32>,
generator: ThreadRng,
initializated: bool,
}
impl SemiRandomSRSModule {
fn new() -> SemiRandomSRSModule {
SemiRandomSRSModule {
history: vec![],
last_weights: WeightedIndex::new([1.0]).unwrap(),
generator: rng(),
initializated: false,
}
}
}
impl SRSModule for SemiRandomSRSModule {
fn next(&mut self, set: &mut CardSet) -> usize {
let index = self.last_weights.sample(&mut self.generator);
if self.history.contains(&index) {
return self.next(set);
}
if self.history.len() == self.history_len(set) {
self.history.remove(0);
}
self.history.push(index);
index
}
fn open(&mut self, status: WordOpenMode, index: usize, word: CardStatistics) {
let new_weight = (100.0 / word.calculated_score()).powf(2.0);
self.last_weights
.update_weights(&[(index, &new_weight)])
.unwrap();
}
fn init(&mut self, set: &mut CardSet) {
self.initializated = true;
let weights = set
.set
.iter()
.map(|s| (100.0 / s.calculated_score()).powf(2.0) * 2.0)
.collect::<Vec<f32>>();
self.last_weights = WeightedIndex::new(weights).unwrap();
}
}
impl SemiRandomSRSModule {
fn history_len(&self, set: &CardSet) -> usize {
min(
MAX_HISTORY_LEN,
(set.len() as f32 * MAX_HISTORY_LEN_PART) as usize,
)
}
}
#[derive(Clone)]
struct WorstWordsSRSModule {
initializated: bool,
}
impl SRSModule for WorstWordsSRSModule {
fn next(&mut self, set: &mut CardSet) -> usize {
todo!()
}
fn open(&mut self, status: WordOpenMode, index: usize, updated_word: CardStatistics) {
todo!()
}
fn init(&mut self, set: &mut CardSet) {
todo!()
}
}
impl WorstWordsSRSModule {
fn new() -> WorstWordsSRSModule {
WorstWordsSRSModule {
initializated: false,
}
}
}