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import type { ConversationStats } from "$lib/types/ConversationStats";
import { CONVERSATION_STATS_COLLECTION, collections } from "$lib/server/database";
import { logger } from "$lib/server/logger";
import type { ObjectId } from "mongodb";
import { acquireLock, refreshLock } from "$lib/migrations/lock";
async function getLastComputationTime(): Promise<Date> {
const lastStats = await collections.conversationStats.findOne({}, { sort: { "date.at": -1 } });
return lastStats?.date?.at || new Date(0);
}
async function shouldComputeStats(): Promise<boolean> {
const lastComputationTime = await getLastComputationTime();
const oneDayAgo = new Date(Date.now() - 24 * 3_600_000);
return lastComputationTime < oneDayAgo;
}
export async function computeAllStats() {
for (const span of ["day", "week", "month"] as const) {
computeStats({ dateField: "updatedAt", type: "conversation", span }).catch((e) =>
logger.error(e)
);
computeStats({ dateField: "createdAt", type: "conversation", span }).catch((e) =>
logger.error(e)
);
computeStats({ dateField: "createdAt", type: "message", span }).catch((e) => logger.error(e));
}
}
async function computeStats(params: {
dateField: ConversationStats["date"]["field"];
span: ConversationStats["date"]["span"];
type: ConversationStats["type"];
}) {
const lastComputed = await collections.conversationStats.findOne(
{ "date.field": params.dateField, "date.span": params.span, type: params.type },
{ sort: { "date.at": -1 } }
);
// If the last computed week is at the beginning of the last computed month, we need to include some days from the previous month
// In those cases we need to compute the stats from before the last month as everything is one aggregation
const minDate = lastComputed ? lastComputed.date.at : new Date(0);
logger.info(
{ minDate, dateField: params.dateField, span: params.span, type: params.type },
"Computing conversation stats"
);
const dateField = params.type === "message" ? "messages." + params.dateField : params.dateField;
const pipeline = [
{
$match: {
[dateField]: { $gte: minDate },
},
},
{
$project: {
[dateField]: 1,
sessionId: 1,
userId: 1,
},
},
...(params.type === "message"
? [
{
$unwind: "$messages",
},
{
$match: {
[dateField]: { $gte: minDate },
},
},
]
: []),
{
$sort: {
[dateField]: 1,
},
},
{
$facet: {
userId: [
{
$match: {
userId: { $exists: true },
},
},
{
$group: {
_id: {
at: { $dateTrunc: { date: `$${dateField}`, unit: params.span } },
userId: "$userId",
},
},
},
{
$group: {
_id: "$_id.at",
count: { $sum: 1 },
},
},
{
$project: {
_id: 0,
date: {
at: "$_id",
field: params.dateField,
span: params.span,
},
distinct: "userId",
count: 1,
},
},
],
sessionId: [
{
$match: {
sessionId: { $exists: true },
},
},
{
$group: {
_id: {
at: { $dateTrunc: { date: `$${dateField}`, unit: params.span } },
sessionId: "$sessionId",
},
},
},
{
$group: {
_id: "$_id.at",
count: { $sum: 1 },
},
},
{
$project: {
_id: 0,
date: {
at: "$_id",
field: params.dateField,
span: params.span,
},
distinct: "sessionId",
count: 1,
},
},
],
userOrSessionId: [
{
$group: {
_id: {
at: { $dateTrunc: { date: `$${dateField}`, unit: params.span } },
userOrSessionId: { $ifNull: ["$userId", "$sessionId"] },
},
},
},
{
$group: {
_id: "$_id.at",
count: { $sum: 1 },
},
},
{
$project: {
_id: 0,
date: {
at: "$_id",
field: params.dateField,
span: params.span,
},
distinct: "userOrSessionId",
count: 1,
},
},
],
_id: [
{
$group: {
_id: { $dateTrunc: { date: `$${dateField}`, unit: params.span } },
count: { $sum: 1 },
},
},
{
$project: {
_id: 0,
date: {
at: "$_id",
field: params.dateField,
span: params.span,
},
distinct: "_id",
count: 1,
},
},
],
},
},
{
$project: {
stats: {
$concatArrays: ["$userId", "$sessionId", "$userOrSessionId", "$_id"],
},
},
},
{
$unwind: "$stats",
},
{
$replaceRoot: {
newRoot: "$stats",
},
},
{
$set: {
type: params.type,
},
},
{
$merge: {
into: CONVERSATION_STATS_COLLECTION,
on: ["date.at", "type", "date.span", "date.field", "distinct"],
whenMatched: "replace",
whenNotMatched: "insert",
},
},
];
await collections.conversations.aggregate(pipeline, { allowDiskUse: true }).next();
logger.info(
{ minDate, dateField: params.dateField, span: params.span, type: params.type },
"Computed conversation stats"
);
}
const LOCK_KEY = "conversation.stats";
let hasLock = false;
let lockId: ObjectId | null = null;
async function maintainLock() {
if (hasLock && lockId) {
hasLock = await refreshLock(LOCK_KEY, lockId);
if (!hasLock) {
lockId = null;
}
} else if (!hasLock) {
lockId = (await acquireLock(LOCK_KEY)) || null;
hasLock = !!lockId;
}
setTimeout(maintainLock, 10_000);
}
export function refreshConversationStats() {
const ONE_HOUR_MS = 3_600_000;
maintainLock().then(async () => {
if (await shouldComputeStats()) {
computeAllStats();
}
setInterval(async () => {
if (await shouldComputeStats()) {
computeAllStats();
}
}, 24 * ONE_HOUR_MS);
});
}
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