src-tauri/src/main.rs

@@ -202,7 +202,7 @@ fn increase_attack_usage(index: i64) {
 fn search_learnset(index: i64) -> Vec<PokemonDataLearnset> {
   let connection = sqlite::open("./pokemon.db").unwrap();
   let mut learnset: Vec<PokemonDataLearnset> = vec![];
-  let move_query = "SELECT pl.id, pl.learnset_id, l.name, l.types, l.power, l.category FROM pokemon__learnset pl JOIN learnset l on pl.learnset_id = l.id WHERE pl.pokemon_id = ? ORDER BY usage DESC";
+  let move_query = "SELECT pl.id, pl.learnset_id, l.name, l.types, l.power, l.category, pl.usage FROM pokemon__learnset pl JOIN learnset l on pl.learnset_id = l.id WHERE pl.pokemon_id = ? ORDER BY usage DESC";
   for row in connection
     .prepare(move_query)
     .unwrap()
@@ -218,6 +218,7 @@ fn search_learnset(index: i64) -> Vec<PokemonDataLearnset> {
       types: serde_json::from_str(row.read::<&str, _>("types")).unwrap_or(vec![0]),
       power: row.read::<i64, _>("power"),
       category: row.read::<i64, _>("category"),
+      usage: row.read::<i64, _>("usage"),
     };
     learnset.push(row_result)
   }

src-tauri/src/model.rs

@@ -26,6 +26,7 @@ pub struct PokemonDataLearnset {
   pub types: Vec<i64>,
   pub power: i64,
   pub category: i64,
+  pub usage: i64,
 }
 #[derive(Serialize, Deserialize, Debug, Clone)]
 pub struct MoveSearchResult {

src/lib/DisplayData.svelte

@@ -68,12 +68,15 @@
   }
   $: {
     if (pokemonData) {
-      if (pokemonData.terastype[0] !== selected_terastype) {
+      console.log(pokemonData)
+      if (init_flag) {
         selected_terastype = pokemonData.terastype[0];
+        init_flag = false;
       }
       if (pokemonData.item !== selected_item) {
         selected_item = pokemonData.item;
       }
+      total_move_usage = pokemonData.learnset.map((v) => v.usage).reduce((partialSum, a) => partialSum + a, 0);
       // validator
       level = level_validator(level);
       pokemonData.hp_v = v_validator(pokemonData.hp_v);
@@ -306,7 +309,7 @@
         return "";
     }
   }
-
+  let total_move_usage = 0;
   export let hp_final = 0;
   export let attack_final = 0;
   export let defense_final = 0;
@@ -316,7 +319,8 @@
   let level = 50;
   let selected_terastype = 0;
   let selected_item = 0;
-
+  let init_flag = true;
+  let filter_move = '';
   function calculate_hp(stat, v, d) {
     // floor({(種族値+個体値)×2+min(63,floor(floor(1+√努力値)÷4))}×レベル÷100)+レベル+10
     return Math.floor((stat * 2 + v + d / 4) * (level / 100) + level + 10);
@@ -357,8 +361,11 @@
               <td style="display: flex;">
                 <select
                   bind:value={selected_terastype}
-                  on:change={() =>
-                    (pokemonData.terastype = [selected_terastype])}
+                  on:change={(a) => {
+                    console.log(a);
+                    pokemonData.terastype = [selected_terastype];
+                    console.log(selected_terastype);
+                  }}
                 >
                   <option value={0}> なし </option>
                   {#each available_type as curr_type}
@@ -924,8 +931,10 @@
           </table>
         </AccordionItem>
         <AccordionItem open title="技">
+          <input bind:value={filter_move} type="text"/>
           <table class="learnset">
             {#each pokemonData.learnset as learnset}
+              {#if filter_move === '' || learnset.name.includes(filter_move)}
               <tr
                 on:click={async () => {
                   console.log("passing" + learnset.name);
@@ -949,7 +958,9 @@
                 <td>{@html generate_type(learnset.types)}</td>
                 <td>{learnset.name}</td>
                 <td>{learnset.power}</td>
+                <td>{total_move_usage === 0 ? 0 : Math.round(learnset.usage/total_move_usage*10000)/100}%</td>
               </tr>
+              {/if}
             {/each}
           </table>
         </AccordionItem>

src/model/PokemonData.ts

@@ -62,4 +62,5 @@ export interface PokemonLearnsetDBData {
   types: number[];
   power: number;
   category: number;
+  usage: number;
 }