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91 lines
3.4 KiB
TypeScript
91 lines
3.4 KiB
TypeScript
import { isEditedMessage, isMessageFromVisitor, isSystemMessage } from '@rocket.chat/core-typings';
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import type { IOmnichannelRoom } from '@rocket.chat/core-typings';
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import { LivechatRooms } from '@rocket.chat/models';
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import { callbacks } from '../../lib/callbacks';
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import { isMessageFromBot } from '../../lib/omnichannel/isMessageFromBot';
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import { normalizeMessageFileUpload } from '../../lib/utils/functions/normalizeMessageFileUpload';
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import { settings } from '../../settings';
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const getMetricValue = <T>(metric: T | undefined, defaultValue: T): T => metric ?? defaultValue;
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const calculateTimeDifference = <T extends Date | number>(startTime: T, now: Date): number =>
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(now.getTime() - new Date(startTime).getTime()) / 1000;
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const calculateAvgResponseTime = (totalResponseTime: number, newResponseTime: number, responseCount: number) =>
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(totalResponseTime + newResponseTime) / (responseCount + 1);
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const getFirstResponseAnalytics = (
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visitorLastQuery: Date,
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agentJoinTime: Date,
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totalResponseTime: number,
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responseCount: number,
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now: Date,
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) => {
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const responseTime = calculateTimeDifference(visitorLastQuery, now);
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const reactionTime = calculateTimeDifference(agentJoinTime, now);
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const avgResponseTime = calculateAvgResponseTime(totalResponseTime, responseTime, responseCount);
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return {
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firstResponseDate: now,
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firstResponseTime: responseTime,
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responseTime,
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avgResponseTime,
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firstReactionDate: now,
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firstReactionTime: reactionTime,
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reactionTime,
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};
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};
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const getSubsequentResponseAnalytics = (visitorLastQuery: Date, totalResponseTime: number, responseCount: number, now: Date) => {
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const responseTime = calculateTimeDifference(visitorLastQuery, now);
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const avgResponseTime = calculateAvgResponseTime(totalResponseTime, responseTime, responseCount);
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return {
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responseTime,
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avgResponseTime,
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reactionTime: responseTime,
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};
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};
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const getAnalyticsData = (room: IOmnichannelRoom, now: Date): Record<string, string | number | Date> | undefined => {
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const visitorLastQuery = getMetricValue(room.metrics?.v?.lq, room.ts);
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const agentLastReply = getMetricValue(room.metrics?.servedBy?.lr, room.ts);
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const agentJoinTime = getMetricValue(room.servedBy?.ts, room.ts);
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const totalResponseTime = getMetricValue(room.metrics?.response?.tt, 0);
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const responseCount = getMetricValue(room.metrics?.response?.total, 0);
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if (agentLastReply === room.ts) {
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return getFirstResponseAnalytics(visitorLastQuery, agentJoinTime, totalResponseTime, responseCount, now);
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}
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if (visitorLastQuery > agentLastReply) {
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return getSubsequentResponseAnalytics(visitorLastQuery, totalResponseTime, responseCount, now);
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}
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};
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callbacks.add(
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'afterOmnichannelSaveMessage',
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async (message, { room, roomUpdater }) => {
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if (!message || isEditedMessage(message) || isSystemMessage(message)) {
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return message;
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}
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if (message.file) {
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message = { ...(await normalizeMessageFileUpload(message)), ...{ _updatedAt: message._updatedAt } };
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}
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if (isMessageFromVisitor(message)) {
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LivechatRooms.getAnalyticsUpdateQueryBySentByVisitor(room, message, roomUpdater);
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} else {
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if (settings.get<boolean>('Omnichannel_Metrics_Ignore_Automatic_Messages') && (await isMessageFromBot(message))) {
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return message;
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}
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const analyticsData = getAnalyticsData(room, new Date());
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LivechatRooms.getAnalyticsUpdateQueryBySentByAgent(room, message, analyticsData, roomUpdater);
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}
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return message;
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},
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callbacks.priority.LOW,
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'saveAnalyticsData',
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);
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