mirror of
https://github.com/mayswind/ezbookkeeping.git
synced 2026-05-20 01:34:24 +08:00
migrate consts/datetime.js to ts
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@@ -331,7 +331,7 @@ import { useAccountsStore } from '@/stores/account.js';
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import { useTransactionCategoriesStore } from '@/stores/transactionCategory.js';
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import { useStatisticsStore } from '@/stores/statistics.js';
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import datetimeConstants from '@/consts/datetime.js';
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import { DateRangeScene, DateRange } from '@/core/datetime.ts';
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import statisticsConstants from '@/consts/statistics.js';
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import { getNameByKeyValue, limitText } from '@/lib/common.ts';
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import { formatPercent } from '@/lib/numeral.js';
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@@ -458,13 +458,13 @@ export default {
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return this.$locale.getAllStatisticsDateAggregationTypes();
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},
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allDateRanges() {
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return datetimeConstants.allDateRanges;
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return DateRange.all();
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},
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allDateRangesArray() {
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if (this.analysisType === statisticsConstants.allAnalysisTypes.CategoricalAnalysis) {
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return this.$locale.getAllDateRanges(datetimeConstants.allDateRangeScenes.Normal, true);
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return this.$locale.getAllDateRanges(DateRangeScene.Normal, true);
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} else if (this.analysisType === statisticsConstants.allAnalysisTypes.TrendAnalysis) {
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return this.$locale.getAllDateRanges(datetimeConstants.allDateRangeScenes.TrendAnalysis, true);
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return this.$locale.getAllDateRanges(DateRangeScene.TrendAnalysis, true);
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} else {
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return [];
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}
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@@ -711,7 +711,7 @@ export default {
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let changed = false;
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if (this.analysisType === statisticsConstants.allAnalysisTypes.CategoricalAnalysis) {
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const chartDateType = getDateTypeByDateRange(startTime, endTime, this.firstDayOfWeek, datetimeConstants.allDateRangeScenes.Normal);
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const chartDateType = getDateTypeByDateRange(startTime, endTime, this.firstDayOfWeek, DateRangeScene.Normal);
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changed = this.statisticsStore.updateTransactionStatisticsFilter({
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categoricalChartDateType: chartDateType,
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@@ -721,7 +721,7 @@ export default {
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this.showCustomDateRangeSheet = false;
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} else if (this.analysisType === statisticsConstants.allAnalysisTypes.TrendAnalysis) {
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const chartDateType = getDateTypeByDateRange(getYearMonthFirstUnixTime(startTime), getYearMonthLastUnixTime(endTime), this.firstDayOfWeek, datetimeConstants.allDateRangeScenes.TrendAnalysis);
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const chartDateType = getDateTypeByDateRange(getYearMonthFirstUnixTime(startTime), getYearMonthLastUnixTime(endTime), this.firstDayOfWeek, DateRangeScene.TrendAnalysis);
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this.statisticsStore.updateTransactionStatisticsFilter({
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trendChartDateType: chartDateType,
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@@ -766,7 +766,7 @@ export default {
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let changed = false;
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if (this.analysisType === statisticsConstants.allAnalysisTypes.CategoricalAnalysis) {
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const newDateRange = getShiftedDateRangeAndDateType(query.categoricalChartStartTime, query.categoricalChartEndTime, scale, this.firstDayOfWeek, datetimeConstants.allDateRangeScenes.Normal);
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const newDateRange = getShiftedDateRangeAndDateType(query.categoricalChartStartTime, query.categoricalChartEndTime, scale, this.firstDayOfWeek, DateRangeScene.Normal);
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changed = this.statisticsStore.updateTransactionStatisticsFilter({
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categoricalChartDateType: newDateRange.dateType,
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@@ -774,7 +774,7 @@ export default {
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categoricalChartEndTime: newDateRange.maxTime
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});
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} else if (this.analysisType === statisticsConstants.allAnalysisTypes.TrendAnalysis) {
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const newDateRange = getShiftedDateRangeAndDateType(getYearMonthFirstUnixTime(query.trendChartStartYearMonth), getYearMonthLastUnixTime(query.trendChartEndYearMonth), scale, this.firstDayOfWeek, datetimeConstants.allDateRangeScenes.TrendAnalysis);
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const newDateRange = getShiftedDateRangeAndDateType(getYearMonthFirstUnixTime(query.trendChartStartYearMonth), getYearMonthLastUnixTime(query.trendChartEndYearMonth), scale, this.firstDayOfWeek, DateRangeScene.TrendAnalysis);
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changed = this.statisticsStore.updateTransactionStatisticsFilter({
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trendChartDateType: newDateRange.dateType,
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