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Reject CN/HCN mode scores.

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This commit is contained in:
zkldi
2021-09-02 23:49:07 +01:00
parent 8fef60c065
commit ce6c28b89f
1 changed files with 29 additions and 37 deletions
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server/src/lib/score-import/import-types/ir/beatoraja/converter.ts
+29 -37
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@@ -2,6 +2,7 @@ import { FindChartOnSHA256 } from "utils/queries/charts";
import { FindSongOnID } from "utils/queries/songs";
import {
InternalFailure,
InvalidScoreFailure,
KTDataNotFoundFailure,
} from "../../../framework/common/converter-failures";
import { GenericGetGradeAndPercent } from "../../../framework/common/score-utils";
@@ -36,6 +37,10 @@ export const ConverterIRBeatoraja: ConverterFunction<BeatorajaScore, BeatorajaCo
importType,
logger
) => {
if (data.lntype !== 0) {
throw new InvalidScoreFailure("CN or HCN mode is not supported by this IR.");
}
const chart = (await FindChartOnSHA256("bms", data.sha256)) as ChartDocument<
"bms:7K" | "bms:14K"
> | null;
@@ -58,14 +63,6 @@ export const ConverterIRBeatoraja: ConverterFunction<BeatorajaScore, BeatorajaCo
throw new InternalFailure(`Song-Chart Desync with BMS ${chart.chartID}.`);
}
// if CN mode
if (data.lntype === 1) {
// Divide the EX score by the CN note count, then multiply it by the LN
// notecount. This converts CN EXScores to LN EXScores by routing
// through percent.
data.exscore = Math.floor((data.exscore / context.chart.notes) * chart.data.notecount);
}
const { grade, percent } = GenericGetGradeAndPercent("bms", data.exscore, chart);
const hitMeta: DryScore<"bms:7K" | "bms:14K">["scoreData"]["hitMeta"] = {
@@ -73,37 +70,32 @@ export const ConverterIRBeatoraja: ConverterFunction<BeatorajaScore, BeatorajaCo
gauge: data.gauge === -1 ? null : data.gauge,
};
let judgements: DryScore<"bms:7K" | "bms:14K">["scoreData"]["judgements"] = {};
// if NOT CN mode we can assign judgements properly
if (data.lntype === 0) {
for (const k of [
"ebd",
"lbd",
"egd",
"lgd",
"egr",
"lgr",
"epg",
"lpg",
"epr",
"lpr",
] as const) {
hitMeta[k] = data[k];
}
hitMeta.epr! += data.ems;
hitMeta.lpr! += data.lms;
judgements = {
pgreat: data.epg + data.lpg,
great: data.egr + data.lgr,
good: data.egd + data.lgd,
bad: data.ebd + data.lbd,
poor: data.epr + data.lpr + data.ems + data.lms,
};
for (const k of [
"ebd",
"lbd",
"egd",
"lgd",
"egr",
"lgr",
"epg",
"lpg",
"epr",
"lpr",
] as const) {
hitMeta[k] = data[k];
}
hitMeta.epr! += data.ems;
hitMeta.lpr! += data.lms;
const judgements = {
pgreat: data.epg + data.lpg,
great: data.egr + data.lgr,
good: data.egd + data.lgd,
bad: data.ebd + data.lbd,
poor: data.epr + data.lpr + data.ems + data.lms,
};
let random = null;
if (chart.playtype === "7K") {