2019-04-07 12:50:36 +00:00
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/**
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* チャートエンジン
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*
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* Tests located in test/chart
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*/
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import * as moment from 'moment';
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import * as nestedProperty from 'nested-property';
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import autobind from 'autobind-decorator';
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import Logger from '../logger';
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import { Schema } from '../../misc/schema';
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import { EntitySchema, getRepository, Repository, LessThan, MoreThanOrEqual } from 'typeorm';
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import { isDuplicateKeyValueError } from '../../misc/is-duplicate-key-value-error';
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const logger = new Logger('chart', 'white', process.env.NODE_ENV !== 'test');
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const utc = moment.utc;
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export type Obj = { [key: string]: any };
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export type DeepPartial<T> = {
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[P in keyof T]?: DeepPartial<T[P]>;
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};
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type ArrayValue<T> = {
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[P in keyof T]: T[P] extends number ? T[P][] : ArrayValue<T[P]>;
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};
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type Span = 'day' | 'hour';
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type Log = {
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id: number;
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/**
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* 集計のグループ
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*/
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group: string | null;
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/**
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* 集計日時のUnixタイムスタンプ(秒)
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*/
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date: number;
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/**
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* 集計期間
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*/
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span: Span;
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/**
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* ユニークインクリメント用
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*/
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unique?: Record<string, any>;
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};
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const camelToSnake = (str: string) => {
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return str.replace(/([A-Z])/g, s => '_' + s.charAt(0).toLowerCase());
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};
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/**
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* 様々なチャートの管理を司るクラス
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*/
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export default abstract class Chart<T extends Record<string, any>> {
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private static readonly columnPrefix = '___';
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private static readonly columnDot = '_';
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private name: string;
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public schema: Schema;
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protected repository: Repository<Log>;
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protected abstract genNewLog(latest: T): DeepPartial<T>;
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protected abstract async fetchActual(group?: string): Promise<DeepPartial<T>>;
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@autobind
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private static convertSchemaToFlatColumnDefinitions(schema: Schema) {
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const columns = {} as any;
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const flatColumns = (x: Obj, path?: string) => {
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for (const [k, v] of Object.entries(x)) {
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const p = path ? `${path}${this.columnDot}${k}` : k;
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if (v.type === 'object') {
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flatColumns(v.properties, p);
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} else {
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columns[this.columnPrefix + p] = {
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2019-04-16 08:52:09 +00:00
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type: 'bigint',
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2019-04-07 12:50:36 +00:00
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};
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}
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}
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};
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2019-04-12 16:43:22 +00:00
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flatColumns(schema.properties!);
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2019-04-07 12:50:36 +00:00
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return columns;
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}
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@autobind
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private static convertFlattenColumnsToObject(x: Record<string, number>) {
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const obj = {} as any;
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for (const k of Object.keys(x).filter(k => k.startsWith(Chart.columnPrefix))) {
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// now k is ___x_y_z
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const path = k.substr(Chart.columnPrefix.length).split(Chart.columnDot).join('.');
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nestedProperty.set(obj, path, x[k]);
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}
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return obj;
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}
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@autobind
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private static convertObjectToFlattenColumns(x: Record<string, any>) {
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const columns = {} as Record<string, number>;
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const flatten = (x: Obj, path?: string) => {
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for (const [k, v] of Object.entries(x)) {
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const p = path ? `${path}${this.columnDot}${k}` : k;
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if (typeof v === 'object') {
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flatten(v, p);
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} else {
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columns[this.columnPrefix + p] = v;
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}
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}
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};
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flatten(x);
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return columns;
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}
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@autobind
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private static convertQuery(x: Record<string, any>) {
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const query: Record<string, Function> = {};
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const columns = Chart.convertObjectToFlattenColumns(x);
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for (const [k, v] of Object.entries(columns)) {
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if (v > 0) query[k] = () => `"${k}" + ${v}`;
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if (v < 0) query[k] = () => `"${k}" - ${v}`;
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}
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return query;
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}
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@autobind
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private static momentToTimestamp(x: moment.Moment): Log['date'] {
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return x.unix();
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}
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@autobind
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public static schemaToEntity(name: string, schema: Schema): EntitySchema {
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return new EntitySchema({
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name: `__chart__${camelToSnake(name)}`,
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columns: {
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id: {
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type: 'integer',
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primary: true,
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generated: true
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},
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date: {
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type: 'integer',
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},
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group: {
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type: 'varchar',
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length: 128,
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nullable: true
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},
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span: {
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type: 'enum',
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enum: ['hour', 'day']
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},
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unique: {
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type: 'jsonb',
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default: {}
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},
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...Chart.convertSchemaToFlatColumnDefinitions(schema)
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},
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});
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}
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constructor(name: string, schema: Schema, grouped = false) {
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this.name = name;
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this.schema = schema;
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const entity = Chart.schemaToEntity(name, schema);
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const keys = ['span', 'date'];
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if (grouped) keys.push('group');
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entity.options.uniques = [{
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columns: keys
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}];
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this.repository = getRepository<Log>(entity);
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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private getNewLog(latest: T | null): T {
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2019-04-07 12:50:36 +00:00
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const log = latest ? this.genNewLog(latest) : {};
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const flatColumns = (x: Obj, path?: string) => {
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for (const [k, v] of Object.entries(x)) {
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const p = path ? `${path}.${k}` : k;
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if (v.type === 'object') {
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flatColumns(v.properties, p);
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} else {
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if (nestedProperty.get(log, p) == null) {
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nestedProperty.set(log, p, 0);
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}
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}
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}
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};
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2019-04-12 16:43:22 +00:00
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flatColumns(this.schema.properties!);
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2019-04-07 12:50:36 +00:00
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return log as T;
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}
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@autobind
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private getCurrentDate(): [number, number, number, number] {
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const now = moment().utc();
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const y = now.year();
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const m = now.month();
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const d = now.date();
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const h = now.hour();
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return [y, m, d, h];
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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private getLatestLog(span: Span, group: string | null = null): Promise<Log | null> {
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2019-04-07 12:50:36 +00:00
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return this.repository.findOne({
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group: group,
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span: span
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}, {
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order: {
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date: -1
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}
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2019-04-12 16:43:22 +00:00
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}).then(x => x || null);
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2019-04-07 12:50:36 +00:00
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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private async getCurrentLog(span: Span, group: string | null = null): Promise<Log> {
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2019-04-07 12:50:36 +00:00
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const [y, m, d, h] = this.getCurrentDate();
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const current =
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span == 'day' ? utc([y, m, d]) :
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span == 'hour' ? utc([y, m, d, h]) :
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2019-04-12 16:43:22 +00:00
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null as never;
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2019-04-07 12:50:36 +00:00
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// 現在(今日または今のHour)のログ
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const currentLog = await this.repository.findOne({
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span: span,
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date: Chart.momentToTimestamp(current),
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...(group ? { group: group } : {})
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});
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// ログがあればそれを返して終了
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if (currentLog != null) {
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return currentLog;
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}
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let log: Log;
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let data: T;
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// 集計期間が変わってから、初めてのチャート更新なら
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// 最も最近のログを持ってくる
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// * 例えば集計期間が「日」である場合で考えると、
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// * 昨日何もチャートを更新するような出来事がなかった場合は、
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// * ログがそもそも作られずドキュメントが存在しないということがあり得るため、
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// * 「昨日の」と決め打ちせずに「もっとも最近の」とします
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const latest = await this.getLatestLog(span, group);
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if (latest != null) {
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const obj = Chart.convertFlattenColumnsToObject(
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latest as Record<string, any>);
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// 空ログデータを作成
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data = await this.getNewLog(obj);
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} else {
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// ログが存在しなかったら
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// (Misskeyインスタンスを建てて初めてのチャート更新時)
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// 初期ログデータを作成
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data = await this.getNewLog(null);
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logger.info(`${this.name}: Initial commit created`);
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}
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try {
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// 新規ログ挿入
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log = await this.repository.save({
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group: group,
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span: span,
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date: Chart.momentToTimestamp(current),
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...Chart.convertObjectToFlattenColumns(data)
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});
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} catch (e) {
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// duplicate key error
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// 並列動作している他のチャートエンジンプロセスと処理が重なる場合がある
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// その場合は再度最も新しいログを持ってくる
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if (isDuplicateKeyValueError(e)) {
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2019-04-12 16:43:22 +00:00
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log = await this.getLatestLog(span, group) as Log;
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2019-04-07 12:50:36 +00:00
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} else {
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logger.error(e);
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throw e;
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}
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}
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return log;
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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protected commit(query: Record<string, Function>, group: string | null = null, uniqueKey?: string, uniqueValue?: string): Promise<any> {
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2019-04-07 12:50:36 +00:00
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const update = async (log: Log) => {
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// ユニークインクリメントの場合、指定のキーに指定の値が既に存在していたら弾く
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if (
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2019-04-12 16:43:22 +00:00
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uniqueKey && log.unique &&
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2019-04-07 12:50:36 +00:00
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log.unique[uniqueKey] &&
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log.unique[uniqueKey].includes(uniqueValue)
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) return;
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// ユニークインクリメントの指定のキーに値を追加
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2019-04-12 16:43:22 +00:00
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if (uniqueKey && log.unique) {
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2019-04-07 12:50:36 +00:00
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if (log.unique[uniqueKey]) {
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const sql = `jsonb_set("unique", '{${uniqueKey}}', ("unique"->>'${uniqueKey}')::jsonb || '["${uniqueValue}"]'::jsonb)`;
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query['unique'] = () => sql;
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} else {
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const sql = `jsonb_set("unique", '{${uniqueKey}}', '["${uniqueValue}"]')`;
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query['unique'] = () => sql;
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}
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}
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// ログ更新
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await this.repository.createQueryBuilder()
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.update()
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.set(query)
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.where('id = :id', { id: log.id })
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.execute();
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};
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return Promise.all([
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this.getCurrentLog('day', group).then(log => update(log)),
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this.getCurrentLog('hour', group).then(log => update(log)),
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]);
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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protected async inc(inc: DeepPartial<T>, group: string | null = null): Promise<void> {
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2019-04-07 12:50:36 +00:00
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await this.commit(Chart.convertQuery(inc as any), group);
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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protected async incIfUnique(inc: DeepPartial<T>, key: string, value: string, group: string | null = null): Promise<void> {
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2019-04-07 12:50:36 +00:00
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await this.commit(Chart.convertQuery(inc as any), group, key, value);
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}
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@autobind
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2019-04-12 16:43:22 +00:00
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public async getChart(span: Span, range: number, group: string | null = null): Promise<ArrayValue<T>> {
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2019-04-07 12:50:36 +00:00
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const [y, m, d, h] = this.getCurrentDate();
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const gt =
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span == 'day' ? utc([y, m, d]).subtract(range, 'days') :
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span == 'hour' ? utc([y, m, d, h]).subtract(range, 'hours') :
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2019-04-12 16:43:22 +00:00
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null as never;
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2019-04-07 12:50:36 +00:00
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// ログ取得
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let logs = await this.repository.find({
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where: {
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group: group,
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span: span,
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date: MoreThanOrEqual(Chart.momentToTimestamp(gt))
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},
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order: {
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date: -1
|
|
|
|
},
|
|
|
|
});
|
|
|
|
|
|
|
|
// 要求された範囲にログがひとつもなかったら
|
|
|
|
if (logs.length === 0) {
|
|
|
|
// もっとも新しいログを持ってくる
|
|
|
|
// (すくなくともひとつログが無いと隙間埋めできないため)
|
|
|
|
const recentLog = await this.repository.findOne({
|
|
|
|
group: group,
|
|
|
|
span: span
|
|
|
|
}, {
|
|
|
|
order: {
|
|
|
|
date: -1
|
|
|
|
},
|
|
|
|
});
|
|
|
|
|
|
|
|
if (recentLog) {
|
|
|
|
logs = [recentLog];
|
|
|
|
}
|
|
|
|
|
|
|
|
// 要求された範囲の最も古い箇所に位置するログが存在しなかったら
|
|
|
|
} else if (!utc(logs[logs.length - 1].date * 1000).isSame(gt)) {
|
|
|
|
// 要求された範囲の最も古い箇所時点での最も新しいログを持ってきて末尾に追加する
|
|
|
|
// (隙間埋めできないため)
|
|
|
|
const outdatedLog = await this.repository.findOne({
|
|
|
|
group: group,
|
|
|
|
span: span,
|
|
|
|
date: LessThan(Chart.momentToTimestamp(gt))
|
|
|
|
}, {
|
|
|
|
order: {
|
|
|
|
date: -1
|
|
|
|
},
|
|
|
|
});
|
|
|
|
|
|
|
|
if (outdatedLog) {
|
|
|
|
logs.push(outdatedLog);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
const chart: T[] = [];
|
|
|
|
|
|
|
|
// 整形
|
|
|
|
for (let i = (range - 1); i >= 0; i--) {
|
|
|
|
const current =
|
|
|
|
span == 'day' ? utc([y, m, d]).subtract(i, 'days') :
|
|
|
|
span == 'hour' ? utc([y, m, d, h]).subtract(i, 'hours') :
|
2019-04-12 16:43:22 +00:00
|
|
|
null as never;
|
2019-04-07 12:50:36 +00:00
|
|
|
|
|
|
|
const log = logs.find(l => utc(l.date * 1000).isSame(current));
|
|
|
|
|
|
|
|
if (log) {
|
|
|
|
const data = Chart.convertFlattenColumnsToObject(log as Record<string, any>);
|
|
|
|
chart.unshift(data);
|
|
|
|
} else {
|
|
|
|
// 隙間埋め
|
|
|
|
const latest = logs.find(l => utc(l.date * 1000).isBefore(current));
|
|
|
|
const data = latest ? Chart.convertFlattenColumnsToObject(latest as Record<string, any>) : null;
|
|
|
|
chart.unshift(this.getNewLog(data));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
const res: ArrayValue<T> = {} as any;
|
|
|
|
|
|
|
|
/**
|
|
|
|
* [{ foo: 1, bar: 5 }, { foo: 2, bar: 6 }, { foo: 3, bar: 7 }]
|
|
|
|
* を
|
|
|
|
* { foo: [1, 2, 3], bar: [5, 6, 7] }
|
|
|
|
* にする
|
|
|
|
*/
|
|
|
|
const dive = (x: Obj, path?: string) => {
|
|
|
|
for (const [k, v] of Object.entries(x)) {
|
|
|
|
const p = path ? `${path}.${k}` : k;
|
|
|
|
if (typeof v == 'object') {
|
|
|
|
dive(v, p);
|
|
|
|
} else {
|
|
|
|
nestedProperty.set(res, p, chart.map(s => nestedProperty.get(s, p)));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
dive(chart[0]);
|
|
|
|
|
|
|
|
return res;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
export function convertLog(logSchema: Schema): Schema {
|
|
|
|
const v: Schema = JSON.parse(JSON.stringify(logSchema)); // copy
|
|
|
|
if (v.type === 'number') {
|
|
|
|
v.type = 'array';
|
|
|
|
v.items = {
|
|
|
|
type: 'number'
|
|
|
|
};
|
|
|
|
} else if (v.type === 'object') {
|
2019-04-12 16:43:22 +00:00
|
|
|
for (const k of Object.keys(v.properties!)) {
|
|
|
|
v.properties![k] = convertLog(v.properties![k]);
|
2019-04-07 12:50:36 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
return v;
|
|
|
|
}
|