496 lines
19 KiB
Go
496 lines
19 KiB
Go
package db
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import (
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"gestion/models"
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"time"
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)
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// ── Reset des sections de stats ─────────────────────────────────────────────
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// ResetAdminStat enregistre (ou met à jour) la date de reset pour une section.
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func (d *Database) ResetAdminStat(section string) error {
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now := time.Now().UTC().Format(time.RFC3339)
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upsert := `INSERT INTO app_settings (key, value) VALUES (?, ?)
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ON CONFLICT (key) DO UPDATE SET value = EXCLUDED.value`
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return d.GDB.Exec(upsert, section, now).Error
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}
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// ReadResetAt lit la date de reset stockée pour une clé donnée (zero value si absente).
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func (d *Database) ReadResetAt(key string) time.Time {
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var row struct {
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Value string
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}
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err := d.GDB.Table("app_settings").
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Select("value").
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Where("key = ?", key).
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Scan(&row).Error
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if err != nil {
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return time.Time{}
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}
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if row.Value != "" {
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if t, err := time.Parse(time.RFC3339, row.Value); err == nil {
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return t
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}
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}
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return time.Time{}
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}
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// ── Construction des clauses WHERE (filtrage par reset) ────────────────────
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// statusFilterClause construit "<baseStatus> [AND <dateColumn> >= ?]" et
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// renvoie la clause ainsi que les arguments à binder, dans l'ordre.
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// dateColumn doit être qualifié par l'alias de table (ex: "c.created_at") dès
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// que la requête appelante fait une jointure où plusieurs tables possèdent une
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// colonne created_at, sous peine d'erreur Postgres "ambiguous column".
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func statusFilterClause(baseStatus string, resetAt time.Time, dateColumn string) (string, []interface{}) {
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if !resetAt.IsZero() {
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return baseStatus + " AND " + dateColumn + " >= ?", []interface{}{resetAt.Format(time.RFC3339)}
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}
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return baseStatus, nil
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}
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// AdminStatsFilters regroupe les dates de reset pour chaque section, lues une
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// seule fois puis transmises aux différentes requêtes.
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type AdminStatsFilters struct {
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ResetCommandes time.Time
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ResetRevenus time.Time
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ResetProduits time.Time
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ResetHeures time.Time
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ResetJours time.Time
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ResetDoses time.Time
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}
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// LoadAdminStatsFilters lit toutes les dates de reset en une seule requête.
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func (d *Database) LoadAdminStatsFilters() AdminStatsFilters {
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keys := []string{
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"stats_reset_commandes_at",
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"stats_reset_revenus_at",
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"stats_reset_produits_at",
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"stats_reset_heures_at",
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"stats_reset_jours_at",
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"stats_reset_doses_at",
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}
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var rows []struct {
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Key string `gorm:"column:key"`
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Value string `gorm:"column:value"`
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}
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d.GDB.Table("app_settings").Select("key, value").Where("key IN ?", keys).Scan(&rows)
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m := make(map[string]time.Time, len(keys))
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for _, r := range rows {
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if t, err := time.Parse(time.RFC3339, r.Value); err == nil {
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m[r.Key] = t
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}
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}
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return AdminStatsFilters{
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ResetCommandes: m["stats_reset_commandes_at"],
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ResetRevenus: m["stats_reset_revenus_at"],
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ResetProduits: m["stats_reset_produits_at"],
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ResetHeures: m["stats_reset_heures_at"],
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ResetJours: m["stats_reset_jours_at"],
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ResetDoses: m["stats_reset_doses_at"],
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}
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}
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// ── Commandes par jour de la semaine (non annulées) ─────────────────────────
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func (d *Database) OrderPerDaysPerWeeks(wdRows *[]models.WeekdayRow, resetAt time.Time) error {
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where, args := statusFilterClause("status != 'cancelled'", resetAt, "created_at")
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query := `
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SELECT EXTRACT(DOW FROM created_at)::int AS dow, COUNT(*) AS count
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FROM commandes
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WHERE ` + where + `
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GROUP BY dow
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ORDER BY dow
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`
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return d.GDB.Raw(query, args...).Scan(wdRows).Error
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}
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// ── Commandes par jour sur 30 jours ──────────────────────────────────────────
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func (d *Database) OrdersByDayLast30(dayRows *[]models.DayRow, resetAt time.Time) error {
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where, args := statusFilterClause("status != 'cancelled'", resetAt, "created_at")
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query := `
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SELECT DATE(created_at) AS day, COUNT(*) AS count
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FROM commandes
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WHERE created_at >= NOW() - INTERVAL '30 days'
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AND ` + where + `
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GROUP BY DATE(created_at)
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ORDER BY day
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`
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return d.GDB.Raw(query, args...).Scan(dayRows).Error
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}
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// ── Revenus par jour sur 30 jours (commandes approuvées) ─────────────────────
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func (d *Database) RevenueByDayLast30(dayRevRows *[]models.DayRevenueRow, resetAt time.Time) error {
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where, args := statusFilterClause("status = 'approved'", resetAt, "created_at")
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query := `
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SELECT DATE(created_at) AS day, COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) AS revenue
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FROM commandes
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WHERE created_at >= NOW() - INTERVAL '30 days'
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AND ` + where + `
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GROUP BY DATE(created_at)
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ORDER BY day
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`
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return d.GDB.Raw(query, args...).Scan(dayRevRows).Error
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}
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// ── Commandes par jour sur un mois calendaire complet ────────────────────────
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type DailyMonthStatRow struct {
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Day time.Time
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Count int
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Revenue float64
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Quantity float64
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}
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// StatsByDayForMonth applique resetCommandes au comptage (count) et à la
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// quantité (quantity, qui reflète le volume de commandes comme count), et
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// resetRevenus au revenu (revenue) — chaque métrique doit respecter la même
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// section de reset que son équivalent dans le résumé global (TotalOrders /
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// TotalRevenue), sous peine d'afficher des chiffres incohérents entre eux
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// après une réinitialisation partielle.
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func (d *Database) StatsByDayForMonth(rows *[]DailyMonthStatRow, monthStart time.Time, resetCommandes time.Time, resetRevenus time.Time) error {
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start := time.Date(monthStart.Year(), monthStart.Month(), 1, 0, 0, 0, 0, monthStart.Location())
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end := start.AddDate(0, 1, 0)
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whereCount, argsCount := statusFilterClause("status != 'cancelled'", resetCommandes, "created_at")
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whereRevenue, argsRevenue := statusFilterClause("status = 'approved'", resetRevenus, "created_at")
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whereQuantity, argsQuantity := statusFilterClause("c.status != 'cancelled'", resetCommandes, "c.created_at")
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query := `
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SELECT
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d.day,
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COALESCE(d.count, 0) AS count,
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COALESCE(rv.revenue, 0) AS revenue,
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COALESCE(qt.quantity, 0) AS quantity
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FROM (
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SELECT DATE(created_at) AS day, COUNT(*) AS count
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FROM commandes
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WHERE created_at >= ? AND created_at < ?
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AND ` + whereCount + `
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GROUP BY DATE(created_at)
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) d
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LEFT JOIN (
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SELECT DATE(created_at) AS day,
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COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) AS revenue
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FROM commandes
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WHERE created_at >= ? AND created_at < ?
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AND ` + whereRevenue + `
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GROUP BY DATE(created_at)
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) rv ON rv.day = d.day
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LEFT JOIN (
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SELECT DATE(c.created_at) AS day, SUM(ci.quantite) AS quantity
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FROM commandes c
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JOIN command_items ci ON ci.command_id = c.id
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WHERE c.created_at >= ? AND c.created_at < ?
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AND ` + whereQuantity + `
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GROUP BY DATE(c.created_at)
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) qt ON qt.day = d.day
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ORDER BY d.day
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`
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// Ordre des "?" dans la requête : (start, end, [resetCommandes]) pour "d",
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// puis (start, end, [resetRevenus]) pour "rv", puis (start, end, [resetCommandes]) pour "qt".
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args := []interface{}{start, end}
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args = append(args, argsCount...)
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args = append(args, start, end)
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args = append(args, argsRevenue...)
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args = append(args, start, end)
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args = append(args, argsQuantity...)
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return d.GDB.Raw(query, args...).Scan(rows).Error
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}
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// OrdersAndRevenueByHour renvoie, par heure, le nombre de commandes non annulées
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// (volume d'activité) et le revenu confirmé (commandes approuvées uniquement —
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// cohérent avec TotalRevenue/RevenueByDayLast30, pour ne pas compter comme
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// "revenu" une commande encore en cours qui pourrait être annulée).
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func (d *Database) OrdersAndRevenueByHour(hourRows *[]models.HourRow, resetAt time.Time) error {
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where, args := statusFilterClause("status != 'cancelled'", resetAt, "created_at")
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query := `
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SELECT
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EXTRACT(HOUR FROM created_at)::int AS hour,
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COUNT(*) AS count,
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COALESCE(SUM(CASE WHEN status = 'approved' THEN total_prix - COALESCE(referral_used, 0) ELSE 0 END), 0) AS revenue
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FROM commandes
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WHERE ` + where + `
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GROUP BY hour
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ORDER BY hour
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`
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return d.GDB.Raw(query, args...).Scan(hourRows).Error
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}
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// ── Top produits (quantité vendue) ───────────────────────────────────────────
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// TopProducts renvoie les produits les plus commandés. La quantité/le nombre de
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// commandes reflètent l'activité (non annulées), le revenu ne compte que les
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// commandes approuvées (revenu confirmé, cohérent avec le résumé global).
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func (d *Database) TopProducts(prodRows *[]models.ProductRow, resetAt time.Time, limit int) error {
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where, args := statusFilterClause("c.status != 'cancelled'", resetAt, "c.created_at")
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args = append(args, limit)
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query := `
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SELECT
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ci.product_id,
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ci.produit AS name,
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SUM(ci.quantite) AS total_quantity,
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COUNT(DISTINCT ci.command_id) AS order_count,
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SUM(CASE WHEN c.status = 'approved'
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THEN ci.prix * (c.total_prix - COALESCE(c.referral_used, 0)) / NULLIF(c.total_prix, 0)
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ELSE 0 END) AS revenue,
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COALESCE(p.category, '') AS category,
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COALESCE(cat.color, '#7c3aed') AS category_color
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FROM command_items ci
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JOIN commandes c ON c.id = ci.command_id
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LEFT JOIN products p ON p.id = ci.product_id
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LEFT JOIN categories cat ON cat.name = p.category
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WHERE ` + where + `
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GROUP BY ci.product_id, ci.produit, p.category, cat.color
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ORDER BY total_quantity DESC
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LIMIT ?
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`
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return d.GDB.Raw(query, args...).Scan(prodRows).Error
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}
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// ── Répartition des doses/quantités par produit ──────────────────────────────
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// QuantityBreakdown : quantité/nombre de commandes reflètent l'activité (non
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// annulées), le revenu ne compte que les commandes approuvées (revenu confirmé).
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func (d *Database) QuantityBreakdown(qtyRows *[]models.QuantityBreakdownRow, resetAt time.Time) error {
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where, args := statusFilterClause("c.status != 'cancelled'", resetAt, "c.created_at")
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query := `
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SELECT
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ci.product_id,
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ci.produit AS product_name,
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ci.quantite AS quantity,
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COUNT(DISTINCT ci.command_id) AS order_count,
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SUM(ci.quantite) AS total_sold,
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SUM(CASE WHEN c.status = 'approved'
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THEN ci.prix * (c.total_prix - COALESCE(c.referral_used, 0)) / NULLIF(c.total_prix, 0)
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ELSE 0 END) AS revenue,
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COALESCE(cat.color, '#7c3aed') AS category_color
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FROM command_items ci
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JOIN commandes c ON c.id = ci.command_id
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LEFT JOIN products p ON p.id = ci.product_id
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LEFT JOIN categories cat ON cat.name = p.category
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WHERE ` + where + `
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GROUP BY ci.product_id, ci.produit, ci.quantite, cat.color
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ORDER BY ci.product_id, COUNT(DISTINCT ci.command_id) DESC
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`
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return d.GDB.Raw(query, args...).Scan(qtyRows).Error
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}
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// ── Détail du jour (catégorie → produits) ────────────────────────────────────
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// DailyProductDetail : quantité/nombre de commandes reflètent l'activité (non
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// annulées), le revenu ne compte que les commandes approuvées (revenu confirmé).
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func (d *Database) DailyProductDetail(dailyRows *[]models.DailyProductRow) error {
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query := `
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SELECT
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ci.product_id,
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ci.produit AS product_name,
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COALESCE(p.category, 'Sans catégorie') AS category,
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COALESCE(cat.color, '#7c3aed') AS category_color,
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SUM(ci.quantite) AS total_quantity,
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COUNT(DISTINCT ci.command_id) AS order_count,
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SUM(CASE WHEN c.status = 'approved'
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THEN ci.prix * (c.total_prix - COALESCE(c.referral_used, 0)) / NULLIF(c.total_prix, 0)
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ELSE 0 END) AS revenue
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FROM command_items ci
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JOIN commandes c ON c.id = ci.command_id
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LEFT JOIN products p ON p.id = ci.product_id
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LEFT JOIN categories cat ON cat.name = p.category
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WHERE DATE(c.created_at) = CURRENT_DATE
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AND c.status != 'cancelled'
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GROUP BY ci.product_id, ci.produit, p.category, cat.color
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ORDER BY p.category, SUM(ci.quantite) DESC
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`
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return d.GDB.Raw(query).Scan(dailyRows).Error
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}
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func (d *Database) DailyProductDetailForDate(dailyRows *[]models.DailyProductRow, date time.Time) error {
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start := time.Date(date.Year(), date.Month(), date.Day(), 0, 0, 0, 0, date.Location())
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end := start.AddDate(0, 0, 1)
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query := `
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SELECT
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ci.product_id,
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ci.produit AS product_name,
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COALESCE(p.category, 'Sans catégorie') AS category,
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COALESCE(cat.color, '#7c3aed') AS category_color,
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SUM(ci.quantite) AS total_quantity,
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COUNT(DISTINCT ci.command_id) AS order_count,
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SUM(CASE WHEN c.status = 'approved'
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THEN ci.prix * (c.total_prix - COALESCE(c.referral_used, 0)) / NULLIF(c.total_prix, 0)
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ELSE 0 END) AS revenue
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FROM command_items ci
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JOIN commandes c ON c.id = ci.command_id
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LEFT JOIN products p ON p.id = ci.product_id
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LEFT JOIN categories cat ON cat.name = p.category
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WHERE c.created_at >= ? AND c.created_at < ?
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AND c.status != 'cancelled'
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GROUP BY ci.product_id, ci.produit, p.category, cat.color
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ORDER BY p.category, SUM(ci.quantite) DESC
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`
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return d.GDB.Raw(query, start, end).Scan(dailyRows).Error
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}
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// DailyOrdersCountForDate renvoie le nombre de commandes (non annulées) pour
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// une date précise.
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func (d *Database) DailyOrdersCountForDate(date time.Time) (int64, error) {
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start := time.Date(date.Year(), date.Month(), date.Day(), 0, 0, 0, 0, date.Location())
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end := start.AddDate(0, 0, 1)
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var count int64
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err := d.GDB.Raw(`
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SELECT COUNT(DISTINCT id) FROM commandes
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WHERE created_at >= ? AND created_at < ? AND status != 'cancelled'
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`, start, end).Scan(&count).Error
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return count, err
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}
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// DailyOrdersCount renvoie le nombre de commandes (non annulées) du jour.
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func (d *Database) DailyOrdersCount() (int64, error) {
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var count int64
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err := d.GDB.Raw(`
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SELECT COUNT(DISTINCT id) FROM commandes
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WHERE DATE(created_at) = CURRENT_DATE AND status != 'cancelled'
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`).Scan(&count).Error
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return count, err
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}
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// ── Résumé global ────────────────────────────────────────────────────────────
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// TotalOrders renvoie le nombre total de commandes filtré par le reset "commandes".
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func (d *Database) TotalOrders(resetAt time.Time) (int64, error) {
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where, args := statusFilterClause("status != 'cancelled'", resetAt, "created_at")
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var total int64
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err := d.GDB.Raw(`SELECT COUNT(*) FROM commandes WHERE `+where, args...).Scan(&total).Error
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return total, err
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}
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// TotalRevenue renvoie le revenu total (commandes approuvées) filtré par le reset "revenus".
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func (d *Database) TotalRevenue(resetAt time.Time) (float64, error) {
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where, args := statusFilterClause("status = 'approved'", resetAt, "created_at")
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var total float64
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err := d.GDB.Raw(`SELECT COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) FROM commandes WHERE `+where, args...).
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Scan(&total).Error
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return total, err
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}
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// TotalPromoDiscount renvoie le montant total (€) des réductions de prix
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// accordées par des promotions sur les commandes approuvées, filtré par le
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// reset "revenus" (même périmètre que TotalRevenue, dont c'est un
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// sous-indicateur). Basé sur command_items.promo_discount, capturé au moment
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// de AddToBasket — reflète donc les promos réellement appliquées à l'époque,
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// pas la config de promotions courante.
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func (d *Database) TotalPromoDiscount(resetAt time.Time) (float64, error) {
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where, args := statusFilterClause("c.status = 'approved'", resetAt, "c.created_at")
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var total float64
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query := `
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SELECT COALESCE(SUM(ci.promo_discount), 0)
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FROM command_items ci
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JOIN commandes c ON c.id = ci.command_id
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WHERE ` + where
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err := d.GDB.Raw(query, args...).Scan(&total).Error
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return total, err
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}
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// PromoOrdersCount renvoie le nombre de commandes distinctes (approuvées)
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// ayant bénéficié d'au moins une réduction de prix promo, filtré par le
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// reset "revenus".
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func (d *Database) PromoOrdersCount(resetAt time.Time) (int64, error) {
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where, args := statusFilterClause("c.status = 'approved'", resetAt, "c.created_at")
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var count int64
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query := `
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SELECT COUNT(DISTINCT ci.command_id)
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FROM command_items ci
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JOIN commandes c ON c.id = ci.command_id
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WHERE ci.promo_discount > 0 AND ` + where
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err := d.GDB.Raw(query, args...).Scan(&count).Error
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return count, err
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}
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// ActiveDaysLast30 renvoie le nombre de jours distincts ayant eu au moins une commande sur 30 jours.
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func (d *Database) ActiveDaysLast30(resetAt time.Time) (int64, error) {
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where, args := statusFilterClause("status != 'cancelled'", resetAt, "created_at")
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var activeDays int64
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query := `
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SELECT COUNT(DISTINCT DATE(created_at))
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FROM commandes
|
|
WHERE created_at >= NOW() - INTERVAL '30 days' AND ` + where
|
|
err := d.GDB.Raw(query, args...).Scan(&activeDays).Error
|
|
return activeDays, err
|
|
}
|
|
|
|
// OrdersCountLast30 renvoie le nombre de commandes sur les 30 derniers jours.
|
|
func (d *Database) OrdersCountLast30(resetAt time.Time) (int64, error) {
|
|
where, args := statusFilterClause("status != 'cancelled'", resetAt, "created_at")
|
|
var count int64
|
|
query := `
|
|
SELECT COUNT(*) FROM commandes
|
|
WHERE created_at >= NOW() - INTERVAL '30 days' AND ` + where
|
|
err := d.GDB.Raw(query, args...).Scan(&count).Error
|
|
return count, err
|
|
}
|
|
|
|
func (d *Database) GetMyDeliveryStatsPerDay(statsRows *[]models.DayRowWithResult, username string) error {
|
|
query := `
|
|
SELECT DATE(updated_at) AS day,
|
|
COUNT(*) AS count,
|
|
COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) AS revenue
|
|
FROM commandes
|
|
WHERE livreur_assign = ?
|
|
AND status IN ('livre', 'approved')
|
|
AND updated_at >= NOW() - INTERVAL '30 days'
|
|
GROUP BY DATE(updated_at)
|
|
ORDER BY day
|
|
`
|
|
return d.GDB.Raw(query, username).Scan(statsRows).Error
|
|
}
|
|
|
|
func (d *Database) GetMyDeliveryStatsPerWeek(statsRow *[]models.WeekRow, username string) error {
|
|
query := `
|
|
SELECT EXTRACT(WEEK FROM updated_at)::int AS week_num,
|
|
EXTRACT(YEAR FROM updated_at)::int AS year,
|
|
COUNT(*) AS count,
|
|
COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) AS revenue
|
|
FROM commandes
|
|
WHERE livreur_assign = ?
|
|
AND status IN ('livre', 'approved')
|
|
AND updated_at >= NOW() - INTERVAL '12 weeks'
|
|
GROUP BY week_num, year
|
|
ORDER BY year, week_num
|
|
`
|
|
return d.GDB.Raw(query, username).Scan(statsRow).Error
|
|
}
|
|
|
|
func (d *Database) GetMyDeliveryStatsPerMonth(statsRow *[]models.MonthRow, username string) error {
|
|
query := `
|
|
SELECT EXTRACT(MONTH FROM updated_at)::int AS month_num,
|
|
EXTRACT(YEAR FROM updated_at)::int AS year,
|
|
COUNT(*) AS count,
|
|
COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) AS revenue
|
|
FROM commandes
|
|
WHERE livreur_assign = ?
|
|
AND status IN ('livre', 'approved')
|
|
AND updated_at >= NOW() - INTERVAL '12 months'
|
|
GROUP BY month_num, year
|
|
ORDER BY year, month_num
|
|
`
|
|
return d.GDB.Raw(query, username).Scan(statsRow).Error
|
|
}
|
|
|
|
func (d *Database) GetMyDeliveryStatsToday(statsRow *models.TodayRow, username string) error {
|
|
query := `
|
|
SELECT COUNT(*) AS count,
|
|
COALESCE(SUM(total_prix - COALESCE(referral_used, 0)), 0) AS revenue
|
|
FROM commandes
|
|
WHERE livreur_assign = ?
|
|
AND status IN ('livre', 'approved')
|
|
AND DATE(updated_at) = CURRENT_DATE
|
|
`
|
|
return d.GDB.Raw(query, username).Scan(statsRow).Error
|
|
}
|