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aggregation optimization

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This commit is contained in:
Emily
2024-09-02 18:36:52 +02:00
parent d499aa2f39
commit c003b655ec
6 changed files with 32 additions and 21 deletions
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28
dashboard/server/api/metrics/[project_id]/timeline/visits.post.ts
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@@ -4,6 +4,7 @@ import { getUserProjectFromId } from "~/server/LIVE_DEMO_DATA";
import DateService from "@services/DateService";
import { executeTimelineAggregation, fillAndMergeTimelineAggregation } from "~/server/services/TimelineService";
import fs from 'fs';
export default defineEventHandler(async event => {
const project_id = getRequestProjectId(event);
@@ -20,19 +21,24 @@ export default defineEventHandler(async event => {
if (!to) return setResponseStatus(event, 400, 'to is required');
if (!slice) return setResponseStatus(event, 400, 'slice is required');
return await Redis.useCache({
key: `timeline:visits:${project_id}:${slice}:${from || 'none'}:${to || 'none'}`,
exp: TIMELINE_EXPIRE_TIME
}, async () => {
const timelineData = await executeTimelineAggregation({
projectId: project._id,
model: VisitModel,
from, to, slice
});
const timelineFilledMerged = fillAndMergeTimelineAggregation(timelineData, slice);
return timelineFilledMerged;
// return await Redis.useCache({
// key: `timeline:visits:${project_id}:${slice}:${from || 'none'}:${to || 'none'}`,
// exp: TIMELINE_EXPIRE_TIME,
// }, async () => {
const timelineData = await executeTimelineAggregation({
projectId: project._id,
model: VisitModel,
from, to, slice,
debug: true
});
console.log(timelineData);
fs.writeFileSync('explains/timeline-visits.json', JSON.stringify(timelineData));
// const timelineFilledMerged = fillAndMergeTimelineAggregation(timelineData, slice);
// return timelineFilledMerged;
// });

2
dashboard/server/services/TimelineService.ts
View File

@@ -46,7 +46,7 @@ export async function executeAdvancedTimelineAggregation<T = {}>(options: Advanc
console.log(JSON.stringify(aggregation, null, 2));
}
const timeline: { _id: string, count: number & T }[] = await options.model.aggregate(aggregation);
const timeline: { _id: string, count: number & T }[] = await options.model.aggregate(aggregation, { explain: options.debug === true });
return timeline;