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package adminanalytics
import (
"context"
"fmt"
"github.com/keegancsmith/sqlf"
"github.com/sourcegraph/sourcegraph/internal/database"
)
type Users struct {
Ctx context.Context
DateRange string
Grouping string
DB database.DB
Cache bool
}
func (s *Users) Activity() (*AnalyticsFetcher, error) {
nodesQuery, summaryQuery, err := makeEventLogsQueries(s.DateRange, s.Grouping, []string{})
if err != nil {
return nil, err
}
return &AnalyticsFetcher{
db: s.DB,
dateRange: s.DateRange,
grouping: s.Grouping,
nodesQuery: nodesQuery,
summaryQuery: summaryQuery,
group: "Users:Activity",
cache: s.Cache,
}, nil
}
const (
frequencyQuery = `
WITH user_days_used AS (
SELECT
CASE WHEN user_id = 0 THEN anonymous_user_id ELSE CAST(user_id AS TEXT) END AS user_id,
COUNT(DISTINCT DATE(TIMEZONE('UTC', timestamp))) AS days_used
FROM event_logs
LEFT OUTER JOIN users ON users.id = event_logs.user_id
WHERE
DATE(timestamp) %s
AND (%s)
GROUP BY 1
),
days_used_frequency AS (
SELECT days_used, COUNT(*) AS frequency
FROM user_days_used
GROUP BY 1
),
days_used_total_frequency AS (
SELECT
days_used_frequency.days_used,
SUM(more_days_used_frequency.frequency) AS frequency
FROM days_used_frequency
LEFT JOIN days_used_frequency AS more_days_used_frequency
ON more_days_used_frequency.days_used >= days_used_frequency.days_used
GROUP BY 1
),
max_days_used_total_frequency AS (
SELECT MAX(frequency) AS max_frequency
FROM days_used_total_frequency
)
SELECT
days_used,
frequency,
frequency * 100.00 / COALESCE(max_frequency, 1) AS percentage
FROM days_used_total_frequency, max_days_used_total_frequency
ORDER BY 1 ASC;
`
)
func (f *Users) Frequencies(ctx context.Context) ([]*UsersFrequencyNode, error) {
cacheKey := fmt.Sprintf("Users:%s:%s", "Frequencies", f.DateRange)
if f.Cache {
if nodes, err := getArrayFromCache[UsersFrequencyNode](cacheKey); err == nil {
return nodes, nil
}
}
_, dateRangeCond, err := makeDateParameters(f.DateRange, f.Grouping, "event_logs.timestamp")
if err != nil {
return nil, err
}
query := sqlf.Sprintf(frequencyQuery, dateRangeCond, sqlf.Join(getDefaultConds(), ") AND ("))
rows, err := f.DB.QueryContext(ctx, query.Query(sqlf.PostgresBindVar), query.Args()...)
if err != nil {
return nil, err
}
defer rows.Close()
nodes := make([]*UsersFrequencyNode, 0)
for rows.Next() {
var data UsersFrequencyNodeData
if err := rows.Scan(&data.DaysUsed, &data.Frequency, &data.Percentage); err != nil {
return nil, err
}
nodes = append(nodes, &UsersFrequencyNode{data})
}
if err := setArrayToCache(cacheKey, nodes); err != nil {
return nil, err
}
return nodes, nil
}
type UsersFrequencyNodeData struct {
DaysUsed float64
Frequency float64
Percentage float64
}
type UsersFrequencyNode struct {
Data UsersFrequencyNodeData
}
func (n *UsersFrequencyNode) DaysUsed() float64 { return n.Data.DaysUsed }
func (n *UsersFrequencyNode) Frequency() float64 { return n.Data.Frequency }
func (n *UsersFrequencyNode) Percentage() float64 { return n.Data.Percentage }
const (
mauQuery = `
SELECT
TO_CHAR(TIMEZONE('UTC', timestamp), 'YYYY-MM') AS date,
COUNT(DISTINCT CASE WHEN user_id = 0 THEN anonymous_user_id ELSE CAST(user_id AS TEXT) END) AS count
FROM event_logs
LEFT OUTER JOIN users ON users.id = event_logs.user_id
WHERE
timestamp BETWEEN %s AND %s
AND (%s)
GROUP BY 1
ORDER BY 1 ASC
`
)
func (f *Users) MonthlyActiveUsers(ctx context.Context) ([]*MonthlyActiveUsersRow, error) {
cacheKey := fmt.Sprintf("Users:%s", "MAU")
if f.Cache {
if nodes, err := getArrayFromCache[MonthlyActiveUsersRow](cacheKey); err == nil {
return nodes, nil
}
}
from, to := getTimestamps(2) // go back 2 months
query := sqlf.Sprintf(mauQuery, from, to, sqlf.Join(getDefaultConds(), ") AND ("))
rows, err := f.DB.QueryContext(ctx, query.Query(sqlf.PostgresBindVar), query.Args()...)
if err != nil {
return nil, err
}
defer rows.Close()
nodes := make([]*MonthlyActiveUsersRow, 0, 3)
for rows.Next() {
var data MonthlyActiveUsersRowData
if err := rows.Scan(&data.Date, &data.Count); err != nil {
return nil, err
}
nodes = append(nodes, &MonthlyActiveUsersRow{data})
}
if err := setArrayToCache(cacheKey, nodes); err != nil {
return nil, err
}
return nodes, nil
}
type MonthlyActiveUsersRowData struct {
Date string
Count float64
}
type MonthlyActiveUsersRow struct {
Data MonthlyActiveUsersRowData
}
func (n *MonthlyActiveUsersRow) Date() string { return n.Data.Date }
func (n *MonthlyActiveUsersRow) Count() float64 { return n.Data.Count }
func (u *Users) CacheAll(ctx context.Context) error {
activityFetcher, err := u.Activity()
if err != nil {
return err
}
if _, err := activityFetcher.Nodes(ctx); err != nil {
return err
}
if _, err := activityFetcher.Summary(ctx); err != nil {
return err
}
if _, err := u.Frequencies(ctx); err != nil {
return err
}
if _, err := u.MonthlyActiveUsers(ctx); err != nil {
return err
}
return nil
}