Hunt optimizer is working but isn't very user-friendly yet.

src/domain/index.ts

@@ -324,6 +324,10 @@ export class EnemyDrop implements ItemDrop {
 
 export class HuntMethod {
     constructor(
+        /**
+         * Time taken in hours.
+         */
+        public time: number,
         public quest: SimpleQuest
     ) { }
 }

src/enums.ts

@@ -20,17 +20,11 @@ export class EnumMap<K, V> {
     private keys: K[];
     private values = new Map<K, V>();
 
-    constructor(enum_: any, initialValue: V | ((key: K) => V)) {
+    constructor(enum_: any, initialValue: (key: K) => V) {
         this.keys = enumValues(enum_);
 
-        if (!(initialValue instanceof Function)) {
-            for (const key of this.keys) {
-                this.values.set(key, initialValue);
-            }
-        } else {
-            for (const key of this.keys) {
-                this.values.set(key, initialValue(key));
-            }
+        for (const key of this.keys) {
+            this.values.set(key, initialValue(key));
         }
     }
 

src/stores/HuntMethodStore.ts

@@ -20,30 +20,46 @@ class HuntMethodStore {
             return NpcType.byNameAndEpisode(enemy, parseInt(episode, 10))!;
         });
 
-        return rows.slice(2).map(row => {
-            const questName = row[0];
-
-            const npcs = row.slice(2, -2).flatMap((cell, cellI) => {
-                const amount = parseInt(cell, 10);
-                const type = npcTypeByIndex[cellI];
-                const enemies = [];
-
-                if (type) {
-                    for (let i = 0; i < amount; i++) {
-                        enemies.push(new SimpleNpc(type));
-                    }
+        return rows.slice(2)
+            .filter(row => {
+                const questName = row[0];
+                // TODO: let's not hard code this...
+                switch (questName) {
+                    case 'MAXIMUM ATTACK 3 Ver2':
+                    case 'LOGiN presents 勇場のマッチレース':
+                        return false;
+                    default:
+                        return true;
                 }
+            })
+            .map(row => {
+                const questName = row[0];
+                const time = parseFloat(row[1]);
 
-                return enemies;
+                const npcs = row.slice(2, -2).flatMap((cell, cellI) => {
+                    const amount = parseInt(cell, 10);
+                    const type = npcTypeByIndex[cellI];
+                    const enemies = [];
+
+                    if (type) {
+                        for (let i = 0; i < amount; i++) {
+                            enemies.push(new SimpleNpc(type));
+                        }
+                    } else {
+                        console.error(`Couldn't get type for cellI ${cellI}.`);
+                    }
+
+                    return enemies;
+                });
+
+                return new HuntMethod(
+                    time,
+                    new SimpleQuest(
+                        questName,
+                        npcs
+                    )
+                );
             });
-
-            return new HuntMethod(
-                new SimpleQuest(
-                    questName,
-                    npcs
-                )
-            );
-        });
     }
 }
 

src/stores/HuntOptimizerStore.ts

@@ -1,11 +1,11 @@
 import solver from 'javascript-lp-solver';
-import { observable } from "mobx";
-import { Difficulties, Item, NpcType, SectionIds } from "../domain";
+import { IObservableArray, observable, runInAction } from "mobx";
+import { Difficulties, Difficulty, Item, NpcType, SectionId, SectionIds } from "../domain";
 import { huntMethodStore } from "./HuntMethodStore";
 import { itemDropStore } from './ItemDropStore';
 
 export class WantedItem {
-    @observable item: Item;
+    @observable readonly item: Item;
     @observable amount: number;
 
     constructor(item: Item, amount: number) {
@@ -14,8 +14,27 @@ export class WantedItem {
     }
 }
 
+export class OptimizationResult {
+    public readonly totalTime: number;
+
+    constructor(
+        public readonly difficulty: Difficulty,
+        public readonly sectionId: SectionId,
+        public readonly methodName: string,
+        public readonly methodTime: number,
+        public readonly runs: number,
+        public readonly itemCounts: Map<Item, number>
+    ) {
+        this.totalTime = runs * methodTime;
+    }
+}
+
+// TODO: group similar methods (e.g. same difficulty, same quest and similar ID).
+// This way people can choose their preferred section ID.
+// TODO: Cutter doesn't seem to work.
 class HuntOptimizerStore {
-    @observable wantedItems: Array<WantedItem> = [];
+    @observable readonly wantedItems: Array<WantedItem> = [];
+    @observable readonly result: IObservableArray<OptimizationResult> = observable.array();
 
     optimize = async () => {
         if (!this.wantedItems.length) return;
@@ -23,14 +42,23 @@ class HuntOptimizerStore {
         const methods = await huntMethodStore.methods.current.promise;
         const dropTable = await itemDropStore.enemyDrops.current.promise;
 
+        // Add a constraint per wanted item.
         const constraints: { [itemName: string]: { min: number } } = {};
 
         for (const wanted of this.wantedItems) {
             constraints[wanted.item.name] = { min: wanted.amount };
         }
 
-        const items = new Set(this.wantedItems.map(i => i.item));
-        const variables: { [methodName: string]: { [itemName: string]: number } } = {};
+        // Add a variable to the LP model per method per difficulty per section ID.
+        // Each variable has a time property to minimize and a property per item with the number
+        // of enemies that drop the item multiplied by the corresponding drop rate as its value.
+        type Variable = {
+            time: number,
+            [itemName: string]: number
+        }
+        const variables: { [methodName: string]: Variable } = {};
+
+        const wantedItems = new Set(this.wantedItems.map(i => i.item));
 
         for (const method of methods) {
             const counts = new Map<NpcType, number>();
@@ -42,40 +70,75 @@ class HuntOptimizerStore {
 
             for (const diff of Difficulties) {
                 for (const sectionId of SectionIds) {
-                    const variable: { [itemName: string]: number } = {
-                        time: 0.5
+                    const variable: Variable = {
+                        time: method.time
                     };
+                    let addVariable = false;
 
                     for (const [npcType, count] of counts.entries()) {
                         const drop = dropTable.getDrop(diff, sectionId, npcType);
 
-                        if (drop && items.has(drop.item)) {
-                            variable[drop.item.name] = count * drop.rate;
+                        if (drop && wantedItems.has(drop.item)) {
+                            const value = variable[drop.item.name] || 0;
+                            variable[drop.item.name] = value + count * drop.rate;
+                            addVariable = true;
                         }
                     }
 
-                    if (Object.keys(variable).length) {
-                        variables[`${diff} ${sectionId} ${method.quest.name}`] = variable;
+                    if (addVariable) {
+                        variables[`${diff}\t${sectionId}\t${method.quest.name}`] = variable;
                     }
                 }
             }
         }
 
-        const result = solver.Solve({
+        const result: {
+            feasible: boolean,
+            bounded: boolean,
+            result: number,
+            [method: string]: number | boolean
+        } = solver.Solve({
             optimize: 'time',
             opType: 'min',
             constraints,
             variables
         });
 
-        console.log(result);
+        runInAction(() => {
+            this.result.splice(0);
+
+            for (const [method, runsOrOther] of Object.entries(result)) {
+                const [diffStr, sIdStr, methodName] = method.split('\t', 3);
+
+                if (sIdStr && methodName) {
+                    const runs = runsOrOther as number;
+                    const variable = variables[method];
+                    const diff = (Difficulty as any)[diffStr];
+                    const sectionId = (SectionId as any)[sIdStr];
+
+                    const items = new Map<Item, number>();
+
+                    for (const [itemName, expectedValue] of Object.entries(variable)) {
+                        for (const item of wantedItems) {
+                            if (itemName === item.name) {
+                                items.set(item, runs * expectedValue);
+                                break;
+                            }
+                        }
+                    }
+
+                    this.result.push(new OptimizationResult(
+                        diff,
+                        sectionId,
+                        methodName,
+                        0.5,
+                        runs,
+                        items
+                    ));
+                }
+            }
+        });
     }
 }
 
 export const huntOptimizerStore = new HuntOptimizerStore();
-
-type MethodWithDropRates = {
-    name: string
-    time: number
-    [itemName: string]: any
-}

src/stores/ItemDropStore.ts

@@ -7,7 +7,7 @@ import { ServerMap } from "./ServerMap";
 
 class EnemyDropTable {
     private map: EnumMap<Difficulty, EnumMap<SectionId, Map<NpcType, EnemyDrop>>> =
-        new EnumMap(Difficulty, new EnumMap(SectionId, new Map()));
+        new EnumMap(Difficulty, () => new EnumMap(SectionId, () => new Map()));
 
     getDrop(difficulty: Difficulty, sectionId: SectionId, npcType: NpcType): EnemyDrop | undefined {
         return this.map.get(difficulty).get(sectionId).get(npcType);
@@ -74,7 +74,7 @@ class ItemDropStore {
                 continue;
             }
 
-            const rareRate = parseFloat(cells[5]);
+            const rareRate = parseFloat(cells[6]);
 
             if (!rareRate) {
                 console.error(`Couldn't parse rare_rate for line ${lineNo}.`);

src/stores/ItemStore.ts

@@ -10,7 +10,7 @@ class ItemStore {
         new Loadable([], () => this.loadItems(server))
     );
 
-    dedupItem(name: string): Item {
+    dedupItem = (name: string): Item => {
         let item = this.itemMap.get(name);
 
         if (!item) {
@@ -25,7 +25,7 @@ class ItemStore {
             `${process.env.PUBLIC_URL}/items.${Server[server].toLowerCase()}.tsv`
         );
         const data = await response.text();
-        return data.split('\n').slice(1).map(name => new Item(name));
+        return data.split('\n').slice(1).map(name => this.dedupItem(name));
     }
 }
 

src/stores/ServerMap.ts

@@ -4,7 +4,7 @@ import { applicationStore } from "./ApplicationStore";
 import { EnumMap } from "../enums";
 
 export class ServerMap<V> extends EnumMap<Server, V> {
-    constructor(initialValue: V | ((server: Server) => V)) {
+    constructor(initialValue: (server: Server) => V) {
         super(Server, initialValue)
     }
 

src/ui/ApplicationComponent.tsx

@@ -42,7 +42,7 @@ export class ApplicationComponent extends React.Component {
                         </Menu.Item>
                         <Menu.Item key="huntOptimizer">
                             Hunt Optimizer
-                            </Menu.Item>
+                        </Menu.Item>
                     </Menu>
                 </div>
                 <div className="ApplicationComponent-main">

src/ui/hunt-optimizer/HuntOptimizerComponent.tsx

@@ -1,11 +1,13 @@
 import React from "react";
 import './HuntOptimizerComponent.css';
 import { WantedItemsComponent } from "./WantedItemsComponent";
+import { OptimizationResultComponent } from "./OptimizationResultComponent";
 
 export function HuntOptimizerComponent() {
     return (
         <section className="ho-HuntOptimizerComponent">
             <WantedItemsComponent />
+            <OptimizationResultComponent />
         </section>
     );
 }

src/ui/hunt-optimizer/OptimizationResultComponent.tsx

@@ -0,0 +1,52 @@
+import { Table } from "antd";
+import { observer } from "mobx-react";
+import React from "react";
+import { Item } from "../../domain";
+import { huntOptimizerStore, OptimizationResult } from "../../stores/HuntOptimizerStore";
+
+@observer
+export class OptimizationResultComponent extends React.Component {
+    render() {
+        const items = new Set<Item>();
+
+        for (const r of huntOptimizerStore.result) {
+            for (const i of r.itemCounts.keys()) {
+                items.add(i);
+            }
+        }
+
+        return (
+            <section>
+                <h2>Optimization Result</h2>
+                <Table
+                    dataSource={huntOptimizerStore.result}
+                    pagination={false}
+                    rowKey={(_, index) => index.toString()}
+                    size="small"
+                    scroll={{ x: true, y: true }}
+                >
+                    <Table.Column title="Difficulty" dataIndex="difficulty" />
+                    <Table.Column title="Method" dataIndex="methodName" />
+                    <Table.Column title="Section ID" dataIndex="sectionId" />
+                    <Table.Column title="Hours/Run" dataIndex="methodTime" render={this.fixed1} />
+                    <Table.Column title="Runs" dataIndex="runs" render={this.fixed1} />
+                    <Table.Column title="Total Hours" dataIndex="totalTime" render={this.fixed1} />
+                    {[...items].map(item =>
+                        <Table.Column<OptimizationResult>
+                            title={item.name}
+                            key={item.name}
+                            render={(_, result) => {
+                                const count = result.itemCounts.get(item);
+                                return count && count.toFixed(2);
+                            }}
+                        />
+                    )}
+                </Table>
+            </section>
+        );
+    }
+
+    private fixed1(time: number): string {
+        return time.toFixed(1);
+    }
+}