217 lines
8.5 KiB
Rust

use crate::components::{self, participant};
use crate::util::surrealdb::schemas;
use futures::stream::ForEach;
use leptos::*;
/// Renders the home page of your application.
#[component]
pub fn Groups() -> impl IntoView {
let group_hour = create_rw_signal("A");
let group_lane = create_rw_signal("1");
let participants_context = use_context::<schemas::ParticipantsContext>().unwrap();
let participants_filtered: Memo<Vec<schemas::ParticipantSignal>> = create_memo(move |_| {
participants_context
.get()
.into_iter()
.filter(|participant| {
participant.value.get().group == group_hour.get().to_owned() + group_lane.get()
})
.collect()
});
let (participants_lifesaver, participants_hindernis, participants_popduiken) =
sort_by_events(participants_filtered);
let lifesaver_best = create_memo(move |_| match participants_lifesaver.get().get(0) {
Some(p) => match p.value.get().events {
Some(e) => e.lifesaver.unwrap_or(0),
None => 6_000_000,
},
None => 6_000_000,
});
let hindernis_best = create_memo(move |_| match participants_hindernis.get().get(0) {
Some(p) => match p.value.get().events {
Some(e) => e.hindernis.unwrap_or(0),
None => 6_000_000,
},
None => 6_000_000,
});
let popduiken_best = create_memo(move |_| match participants_popduiken.get().get(0) {
Some(p) => match p.value.get().events {
Some(e) => e.popduiken.unwrap_or(0),
None => 6_000_000,
},
None => 6_000_000,
});
let total_score_participants = sort_by_total_score(
participants_filtered,
lifesaver_best,
hindernis_best,
popduiken_best,
);
view! {
<h2>"Groups"</h2>
<div class="groups-select-container">
<div class="groups-select-row">
<div on:click=move |_| group_hour.set("A") class:selected=move || group_hour.get() == "A">"A"</div>
<div on:click=move |_| group_hour.set("B") class:selected=move || group_hour.get() == "B">"B"</div>
<div on:click=move |_| group_hour.set("C") class:selected=move || group_hour.get() == "C">"C"</div>
<div on:click=move |_| group_hour.set("D") class:selected=move || group_hour.get() == "D">"D"</div>
<div on:click=move |_| group_hour.set("Z") class:selected=move || group_hour.get() == "Z">"Z"</div>
</div>
<div class="groups-select-row">
<div on:click=move |_| group_lane.set("1") class:selected=move || group_lane.get() == "1">"1"</div>
<div on:click=move |_| group_lane.set("2") class:selected=move || group_lane.get() == "2">"2"</div>
<div on:click=move |_| group_lane.set("3") class:selected=move || group_lane.get() == "3">"3"</div>
<div on:click=move |_| group_lane.set("4") class:selected=move || group_lane.get() == "4">"4"</div>
<div on:click=move |_| group_lane.set("5") class:selected=move || group_lane.get() == "5">"5"</div>
<div on:click=move |_| group_lane.set("6") class:selected=move || group_lane.get() == "6">"6"</div>
</div>
</div>
<h3>"Algemene score"</h3>
<components::participants::Participants participants=total_score_participants.into() show_group=false />
<div class="events-container">
<div>
<h3>"Lifesaver"</h3>
<components::participants::Participants participants=participants_lifesaver.into() show_group=false show_popduiken=false show_hindernis=false />
</div>
<div>
<h3>"Hindernis"</h3>
<components::participants::Participants participants=participants_hindernis.into() show_group=false show_popduiken=false show_lifesaver=false />
</div>
<div>
<h3>"Popduiken"</h3>
<components::participants::Participants participants=participants_popduiken.into() show_group=false show_hindernis=false show_lifesaver=false />
</div>
</div>
}
}
fn sort_by_total_score(
participants_filtered: Memo<Vec<schemas::ParticipantSignal>>,
lifesaver_best: Memo<u32>,
popduiken_best: Memo<u32>,
hindernis_best: Memo<u32>,
) -> Memo<Vec<schemas::ParticipantSignal>> {
let total_score_participants: Memo<Vec<schemas::ParticipantSignal>> = create_memo(move |_| {
let mut all_participants: Vec<(usize, schemas::ParticipantSignal)> = participants_filtered
.get()
.into_iter()
.enumerate()
.collect();
let lifesaver_best = lifesaver_best.get();
let popduiken_best = popduiken_best.get();
let hindernis_best = hindernis_best.get();
all_participants.sort_by(|(_, a), (_, b)| {
let part_a = match a.value.get().events {
Some(events) => {
((events.lifesaver.unwrap_or(6_000_000) * 100) / lifesaver_best)
+ ((events.hindernis.unwrap_or(6_000_000) * 100) / hindernis_best)
+ ((events.popduiken.unwrap_or(6_000_000) * 100) / popduiken_best)
}
None => 1000,
};
let part_b = match b.value.get().events {
Some(events) => {
((events.lifesaver.unwrap_or(6_000_000) * 100) / lifesaver_best)
+ ((events.hindernis.unwrap_or(6_000_000) * 100) / hindernis_best)
+ ((events.popduiken.unwrap_or(6_000_000) * 100) / popduiken_best)
}
None => 1000,
};
part_a.cmp(&part_b)
});
all_participants
.into_iter()
.map(|(_, value)| value)
.collect()
});
total_score_participants
}
fn sort_by_events(
participants_filtered: Memo<Vec<schemas::ParticipantSignal>>,
) -> (
Memo<Vec<schemas::ParticipantSignal>>,
Memo<Vec<schemas::ParticipantSignal>>,
Memo<Vec<schemas::ParticipantSignal>>,
) {
let lifesaver: Memo<Vec<schemas::ParticipantSignal>> = create_memo(move |_| {
let mut participants: Vec<(usize, schemas::ParticipantSignal)> = participants_filtered
.get()
.into_iter()
.enumerate()
.collect();
participants.sort_by(|(_, a), (_, b)| {
let event_a = match a.value.get().events {
Some(events) => events.lifesaver.unwrap_or(6_000_000),
None => 6_000_000,
};
let event_b = match b.value.get().events {
Some(events) => events.lifesaver.unwrap_or(5_999_100),
None => 6_000_000,
};
event_a.cmp(&event_b)
});
participants.into_iter().map(|(_, value)| value).collect()
});
let hindernis: Memo<Vec<schemas::ParticipantSignal>> = create_memo(move |_| {
let mut participants: Vec<(usize, schemas::ParticipantSignal)> = participants_filtered
.get()
.into_iter()
.enumerate()
.collect();
participants.sort_by(|(_, a), (_, b)| {
let event_a = match a.value.get().events {
Some(events) => events.hindernis.unwrap_or(6_000_000),
None => 6_000_000,
};
let event_b = match b.value.get().events {
Some(events) => events.hindernis.unwrap_or(6_000_000),
None => 6_000_000,
};
event_a.cmp(&event_b)
});
participants.into_iter().map(|(_, value)| value).collect()
});
let popduiken: Memo<Vec<schemas::ParticipantSignal>> = create_memo(move |_| {
let mut participants: Vec<(usize, schemas::ParticipantSignal)> = participants_filtered
.get()
.into_iter()
.enumerate()
.collect();
participants.sort_by(|(_, a), (_, b)| {
let event_a = match a.value.get().events {
Some(events) => events.popduiken.unwrap_or(6_000_000),
None => 6_000_000,
};
let event_b = match b.value.get().events {
Some(events) => events.popduiken.unwrap_or(6_000_000),
None => 6_000_000,
};
event_a.cmp(&event_b)
});
participants.into_iter().map(|(_, value)| value).collect()
});
(lifesaver, hindernis, popduiken)
}