// Copyright: Ankitects Pty Ltd and contributors
// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html

import { SchedulingStatesWithContext } from "@tslib/anki/frontend_pb";
import { SchedulingContext, SchedulingStates } from "@tslib/anki/scheduler_pb";

import { applyStateTransform } from "./answering";

/* eslint
@typescript-eslint/no-explicit-any: "off",
 */

function exampleInput(): SchedulingStatesWithContext {
    return SchedulingStatesWithContext.fromJson(
        {
            "states": {
                "current": {
                    "normal": {
                        "review": {
                            "scheduledDays": 1,
                            "elapsedDays": 2,
                            "easeFactor": 1.850000023841858,
                            "lapses": 4,
                            "leeched": false,
                        },
                    },
                    "customData": "{\"v\":\"v3.20.0\",\"seed\":2104,\"d\":5.39,\"s\":11.06}",
                },
                "again": {
                    "normal": {
                        "relearning": {
                            "review": {
                                "scheduledDays": 1,
                                "elapsedDays": 0,
                                "easeFactor": 1.649999976158142,
                                "lapses": 5,
                                "leeched": false,
                            },
                            "learning": {
                                "remainingSteps": 1,
                                "scheduledSecs": 600,
                            },
                        },
                    },
                },
                "hard": {
                    "normal": {
                        "review": {
                            "scheduledDays": 2,
                            "elapsedDays": 0,
                            "easeFactor": 1.7000000476837158,
                            "lapses": 4,
                            "leeched": false,
                        },
                    },
                },
                "good": {
                    "normal": {
                        "review": {
                            "scheduledDays": 4,
                            "elapsedDays": 0,
                            "easeFactor": 1.850000023841858,
                            "lapses": 4,
                            "leeched": false,
                        },
                    },
                },
                "easy": {
                    "normal": {
                        "review": {
                            "scheduledDays": 6,
                            "elapsedDays": 0,
                            "easeFactor": 2,
                            "lapses": 4,
                            "leeched": false,
                        },
                    },
                },
            },
            "context": { "deckName": "hello", "seed": 123 },
        },
    );
}

test("can change oneof", () => {
    let states = exampleInput().states!;
    const jsonStates = states.toJson({ "emitDefaultValues": true }) as any;
    // again should be a relearning state
    const inner = states.again?.kind?.value?.kind;
    assert(inner?.case === "relearning");
    expect(inner.value.learning?.remainingSteps).toBe(1);
    // change it to a review state
    jsonStates.again.normal = { "review": jsonStates.again.normal.relearning.review };
    states = SchedulingStates.fromJson(jsonStates);
    const inner2 = states.again?.kind?.value?.kind;
    assert(inner2?.case === "review");
    // however, it's not valid to have multiple oneofs set
    jsonStates.again.normal = { "review": jsonStates.again.normal.review, "learning": {} };
    expect(() => {
        SchedulingStates.fromJson(jsonStates);
    }).toThrow();
});

test("no-op transform", async () => {
    const input = exampleInput();
    const output = await applyStateTransform(input, async (states: any, customData, ctx) => {
        expect(ctx.deckName).toBe("hello");
        expect(customData.easy.seed).toBe(2104);
        expect(states!.again!.normal!.relearning!.learning!.remainingSteps).toBe(1);
    });
    // the input only has customData set on `current`, so we need to update it
    // before we compare the two as equal
    input.states!.again!.customData = input.states!.current!.customData;
    input.states!.hard!.customData = input.states!.current!.customData;
    input.states!.good!.customData = input.states!.current!.customData;
    input.states!.easy!.customData = input.states!.current!.customData;
    expect(output).toStrictEqual(input.states);
});

test("custom data change", async () => {
    const output = await applyStateTransform(exampleInput(), async (_states: any, customData, _ctx) => {
        customData.easy = { foo: "hello world" };
    });
    expect(output!.hard!.customData).not.toMatch(/hello world/);
    expect(output!.easy!.customData).toBe("{\"foo\":\"hello world\"}");
});

test("adjust interval", async () => {
    const output = await applyStateTransform(exampleInput(), async (states: any, _customData, _ctx) => {
        states.good.normal.review.scheduledDays = 10;
    });
    const kind = output.good?.kind?.value?.kind;
    assert(kind?.case === "review");
    expect(kind.value.scheduledDays).toBe(10);
});

test("default context values exist", async () => {
    const ctx = SchedulingContext.fromBinary(new Uint8Array());
    expect(ctx.deckName).toBe("");
    expect(ctx.seed).toBe(0n);
});

function assert(condition: boolean): asserts condition {
    if (!condition) {
        throw new Error();
    }
}