Files
bssapp/svc/product_series_auto_scheduler.go
2026-06-22 22:32:23 +03:00

857 lines
25 KiB
Go

package main
import (
"bssapp-backend/db"
"bssapp-backend/queries"
"context"
"crypto/sha1"
"database/sql"
"encoding/hex"
"fmt"
"log"
"math"
"os"
"sort"
"strconv"
"strings"
"sync/atomic"
"time"
"github.com/lib/pq"
)
type productSeriesAutoStockRaw struct {
ProductCode string
ProductDescription string
ColorCode string
ColorTitle string
Dim3Code string
SizeCode string
Qty float64
UrunAnaGrubu string
UrunAltGrubu string
Marka string
DropVal string
Fit string
UrunIcerigi string
Kategori string
}
type productSeriesAutoVariant struct {
RowKey string
ProductCode string
ColorCode string
Dim3Code string
SizeQty map[string]float64
TotalQty float64
UrunAnaGrubu string
UrunAltGrubu string
Kategori string
GroupKey string
StockHash string
}
type productSeriesAutoRule struct {
SeriesID int64
Code string
Title string
GroupKey string
Ratio map[string]int
Priority int
}
type productSeriesQueueItem struct {
ID int64
RowKey string
ProductCode string
ColorCode string
Dim3Code string
Attempts int
}
type productSeriesAutoStats struct {
Scanned int
Changed int
Processed int
Written int
Skipped int
}
var productSeriesSizeGroups = map[string][]string{
"tak": {"44", "46", "48", "50", "52", "54", "56", "58", "60", "62", "64", "66", "68", "70", "72", "74"},
"ayk": {"39", "40", "41", "42", "43", "44", "45", "46"},
"ayk_garson": {"22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37"},
"yas": {"2", "4", "6", "8", "10", "12", "14"},
"pan": {"38", "40", "42", "44", "46", "48", "50", "52", "54", "56", "58", "60", "62", "64", "66", "68"},
"gom": {"XS", "S", "M", "L", "XL", "2XL", "3XL", "4XL", "5XL", "6XL", "7XL"},
"aks": {"44", "STD", "110", "115", "120", "125", "130", "135"},
}
func startProductSeriesAutoSchedulers(pgDB *sql.DB) {
enabled := strings.TrimSpace(strings.ToLower(os.Getenv("PRODUCT_SERIES_AUTO_ENABLED")))
if enabled == "0" || enabled == "false" || enabled == "off" {
log.Println("Product series auto scheduler disabled")
return
}
if pgDB == nil || db.MssqlDB == nil {
return
}
apply := envBool("PRODUCT_SERIES_AUTO_APPLY", false)
deltaIntervalMin := envIntRange("PRODUCT_SERIES_DELTA_INTERVAL_MIN", 60, 5, 1440)
queueBatch := envIntRange("PRODUCT_SERIES_DELTA_BATCH_SIZE", 300, 10, 2000)
fullHH, fullMM := envHHMM("PRODUCT_SERIES_FULL_HHMM", 5, 30)
runFullOnStartup := envBool("PRODUCT_SERIES_FULL_RUN_ON_STARTUP", false)
runDeltaOnStartup := envBool("PRODUCT_SERIES_DELTA_RUN_ON_STARTUP", false)
var deltaRunning int32
var fullRunning int32
runDelta := func(reason string) {
if !atomic.CompareAndSwapInt32(&deltaRunning, 0, 1) {
log.Printf("[ProductSeriesDelta] skip (%s): already running", reason)
return
}
defer atomic.StoreInt32(&deltaRunning, 0)
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Hour)
defer cancel()
stats, err := productSeriesDetectStockChanges(ctx, pgDB, reason)
if err != nil {
log.Printf("[ProductSeriesDelta] detect_error (%s): %v", reason, err)
return
}
processed, written, skipped, err := productSeriesProcessQueue(ctx, pgDB, queueBatch, apply)
stats.Processed += processed
stats.Written += written
stats.Skipped += skipped
if err != nil {
log.Printf("[ProductSeriesDelta] process_error (%s): %v", reason, err)
return
}
log.Printf("[ProductSeriesDelta] ok (%s): scanned=%d changed=%d processed=%d written=%d skipped=%d apply=%t interval_min=%d",
reason, stats.Scanned, stats.Changed, stats.Processed, stats.Written, stats.Skipped, apply, deltaIntervalMin)
}
runFull := func(reason string) {
if !atomic.CompareAndSwapInt32(&fullRunning, 0, 1) {
log.Printf("[ProductSeriesFull] skip (%s): already running", reason)
return
}
defer atomic.StoreInt32(&fullRunning, 0)
ctx, cancel := context.WithTimeout(context.Background(), 4*time.Hour)
defer cancel()
stats, err := productSeriesFullRebuild(ctx, pgDB, apply, reason)
if err != nil {
log.Printf("[ProductSeriesFull] error (%s): %v", reason, err)
return
}
log.Printf("[ProductSeriesFull] ok (%s): scanned=%d processed=%d written=%d skipped=%d apply=%t hhmm=%02d:%02d",
reason, stats.Scanned, stats.Processed, stats.Written, stats.Skipped, apply, fullHH, fullMM)
}
go func() {
time.Sleep(3 * time.Second)
if runDeltaOnStartup {
runDelta("startup")
}
ticker := time.NewTicker(time.Duration(deltaIntervalMin) * time.Minute)
defer ticker.Stop()
for range ticker.C {
runDelta("scheduled")
}
}()
go func() {
time.Sleep(5 * time.Second)
if runFullOnStartup {
runFull("startup_manual")
}
for {
next := nextProductSeriesWeeklyRun(time.Now(), fullHH, fullMM)
wait := time.Until(next)
if wait < 0 {
wait = time.Minute
}
log.Printf("[ProductSeriesFull] scheduled next_at=%s in=%s", next.Format(time.RFC3339), wait.Round(time.Second))
time.Sleep(wait)
runFull("weekly")
}
}()
}
func productSeriesDetectStockChanges(ctx context.Context, pg *sql.DB, reason string) (productSeriesAutoStats, error) {
var stats productSeriesAutoStats
variants, scanned, err := productSeriesLoadMSSQLStockVariants(ctx)
stats.Scanned = scanned
if err != nil {
return stats, err
}
tx, err := pg.BeginTx(ctx, nil)
if err != nil {
return stats, err
}
defer tx.Rollback()
currentKeys := make([]string, 0, len(variants))
for key, v := range variants {
currentKeys = append(currentKeys, key)
var oldHash string
err := tx.QueryRowContext(ctx, `SELECT stock_hash FROM mk_product_series_stock_state WHERE row_key=$1`, key).Scan(&oldHash)
if err != nil && err != sql.ErrNoRows {
return stats, err
}
if err == sql.ErrNoRows || oldHash != v.StockHash {
if _, err := productSeriesEnqueueTx(ctx, tx, v.ProductCode, v.ColorCode, v.Dim3Code, reason); err != nil {
return stats, err
}
stats.Changed++
}
if _, err := tx.ExecContext(ctx, `
INSERT INTO mk_product_series_stock_state (row_key, product_code, color_code, dim3_code, stock_hash, total_qty, last_seen_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, now(), now())
ON CONFLICT (row_key) DO UPDATE
SET stock_hash=EXCLUDED.stock_hash,
total_qty=EXCLUDED.total_qty,
last_seen_at=now(),
updated_at=now()
`, key, v.ProductCode, v.ColorCode, v.Dim3Code, v.StockHash, v.TotalQty); err != nil {
return stats, err
}
}
rows, err := tx.QueryContext(ctx, `
SELECT row_key, product_code, color_code, dim3_code
FROM mk_product_series_stock_state
WHERE NOT (row_key = ANY($1))
`, pq.Array(currentKeys))
if err != nil {
return stats, err
}
missing := []productSeriesQueueItem{}
for rows.Next() {
var it productSeriesQueueItem
if err := rows.Scan(&it.RowKey, &it.ProductCode, &it.ColorCode, &it.Dim3Code); err != nil {
_ = rows.Close()
return stats, err
}
missing = append(missing, it)
}
_ = rows.Close()
for _, it := range missing {
if _, err := productSeriesEnqueueTx(ctx, tx, it.ProductCode, it.ColorCode, it.Dim3Code, "stock_zero_"+reason); err != nil {
return stats, err
}
stats.Changed++
}
return stats, tx.Commit()
}
func productSeriesFullRebuild(ctx context.Context, pg *sql.DB, apply bool, reason string) (productSeriesAutoStats, error) {
var stats productSeriesAutoStats
variants, scanned, err := productSeriesLoadMSSQLStockVariants(ctx)
stats.Scanned = scanned
if err != nil {
return stats, err
}
rules, err := productSeriesLoadRules(ctx, pg)
if err != nil {
return stats, err
}
for _, v := range variants {
written, skipped, err := productSeriesApplyVariant(ctx, pg, v, rules, apply)
if err != nil {
return stats, err
}
stats.Processed++
stats.Written += written
stats.Skipped += skipped
}
_, _ = pg.ExecContext(ctx, `
INSERT INTO mk_product_series_job_log (job_name, reason, finished_at, status, scanned_rows, processed_rows, written_rows, skipped_rows)
VALUES ('product_series_full', $1, now(), 'ok', $2, $3, $4, $5)
`, reason, stats.Scanned, stats.Processed, stats.Written, stats.Skipped)
return stats, nil
}
func productSeriesProcessQueue(ctx context.Context, pg *sql.DB, batchSize int, apply bool) (int, int, int, error) {
rules, err := productSeriesLoadRules(ctx, pg)
if err != nil {
return 0, 0, 0, err
}
variants, _, err := productSeriesLoadMSSQLStockVariants(ctx)
if err != nil {
return 0, 0, 0, err
}
totalProcessed, totalWritten, totalSkipped := 0, 0, 0
for {
tx, err := pg.BeginTx(ctx, nil)
if err != nil {
return totalProcessed, totalWritten, totalSkipped, err
}
items, err := productSeriesClaimQueue(ctx, tx, batchSize)
if err != nil {
_ = tx.Rollback()
return totalProcessed, totalWritten, totalSkipped, err
}
if err := tx.Commit(); err != nil {
return totalProcessed, totalWritten, totalSkipped, err
}
if len(items) == 0 {
break
}
for _, it := range items {
variant, ok := variants[productSeriesAutoKey(it.ProductCode, it.ColorCode, it.Dim3Code)]
if !ok {
variant = productSeriesAutoVariant{
RowKey: productSeriesAutoKey(it.ProductCode, it.ColorCode, it.Dim3Code),
ProductCode: it.ProductCode,
ColorCode: it.ColorCode,
Dim3Code: it.Dim3Code,
SizeQty: map[string]float64{},
}
}
written, skipped, err := productSeriesApplyVariant(ctx, pg, variant, rules, apply)
if err != nil {
_ = productSeriesMarkQueueFailed(ctx, pg, it, err.Error())
return totalProcessed, totalWritten, totalSkipped, err
}
totalProcessed++
totalWritten += written
totalSkipped += skipped
_ = productSeriesMarkQueueDone(ctx, pg, it.ID)
}
}
return totalProcessed, totalWritten, totalSkipped, nil
}
func productSeriesApplyVariant(ctx context.Context, pg *sql.DB, v productSeriesAutoVariant, rules []productSeriesAutoRule, apply bool) (int, int, error) {
mmitemID, dim1ID, dim3ID, ready, err := productSeriesResolvePGVariant(ctx, pg, v.ProductCode, v.ColorCode, v.Dim3Code)
if err != nil {
return 0, 1, err
}
if !ready {
return 0, 1, nil
}
selected := productSeriesSelectRules(v, rules)
if !apply {
return len(selected), 0, nil
}
tx, err := pg.BeginTx(ctx, nil)
if err != nil {
return 0, 0, err
}
defer tx.Rollback()
if _, err := tx.ExecContext(ctx, `
DELETE FROM zbggseri
WHERE mmitem_id=$1
AND dim1=$2
AND (($3::bigint IS NULL AND dim3 IS NULL) OR dim3=$3::bigint)
`, mmitemID, dim1ID, nullableInt64ForAuto(dim3ID)); err != nil {
return 0, 0, err
}
for _, rule := range selected {
if _, err := tx.ExecContext(ctx, `
INSERT INTO zbggseri (mmitem_id, dim1, seri_id, dim3)
VALUES ($1, $2, $3, $4)
`, mmitemID, dim1ID, rule.SeriesID, nullableInt64ForAuto(dim3ID)); err != nil {
return 0, 0, err
}
}
if err := tx.Commit(); err != nil {
return 0, 0, err
}
return len(selected), 0, nil
}
func productSeriesLoadMSSQLStockVariants(ctx context.Context) (map[string]productSeriesAutoVariant, int, error) {
rows, err := db.MssqlDB.QueryContext(ctx, queries.GetProductSeriesStockRowsQuery,
"", "", "", "", "", "", "", "", "", "0", "",
)
if err != nil {
return nil, 0, err
}
defer rows.Close()
out := map[string]productSeriesAutoVariant{}
scanned := 0
for rows.Next() {
scanned++
var raw productSeriesAutoStockRaw
if err := rows.Scan(
&raw.ProductCode,
&raw.ProductDescription,
&raw.ColorCode,
&raw.ColorTitle,
&raw.Dim3Code,
&raw.SizeCode,
&raw.Qty,
&raw.UrunAnaGrubu,
&raw.UrunAltGrubu,
&raw.Marka,
&raw.DropVal,
&raw.Fit,
&raw.UrunIcerigi,
&raw.Kategori,
); err != nil {
return nil, scanned, err
}
raw.ProductCode = strings.TrimSpace(raw.ProductCode)
raw.ColorCode = strings.TrimSpace(raw.ColorCode)
raw.Dim3Code = strings.TrimSpace(raw.Dim3Code)
raw.SizeCode = normalizeProductSeriesSize(raw.SizeCode)
if raw.ProductCode == "" || raw.ColorCode == "" || raw.SizeCode == "" {
continue
}
key := productSeriesAutoKey(raw.ProductCode, raw.ColorCode, raw.Dim3Code)
v := out[key]
if v.SizeQty == nil {
v = productSeriesAutoVariant{
RowKey: key,
ProductCode: raw.ProductCode,
ColorCode: raw.ColorCode,
Dim3Code: raw.Dim3Code,
SizeQty: map[string]float64{},
UrunAnaGrubu: strings.TrimSpace(raw.UrunAnaGrubu),
UrunAltGrubu: strings.TrimSpace(raw.UrunAltGrubu),
Kategori: strings.TrimSpace(raw.Kategori),
}
}
v.SizeQty[raw.SizeCode] += raw.Qty
v.TotalQty += raw.Qty
out[key] = v
}
if err := rows.Err(); err != nil {
return nil, scanned, err
}
for key, v := range out {
v.GroupKey = productSeriesDetectGroup(v)
v.StockHash = productSeriesStockHash(v.SizeQty)
out[key] = v
}
return out, scanned, nil
}
func productSeriesLoadRules(ctx context.Context, pg *sql.DB) ([]productSeriesAutoRule, error) {
rows, err := pg.QueryContext(ctx, `
SELECT d.id, COALESCE(d.code,''), COALESCE(d.title,''),
COALESCE(r.size_group,''), COALESCE(r.size_code,''), COALESCE(r.ratio_qty,1), COALESCE(r.priority,0)
FROM dfgrp d
LEFT JOIN mk_product_series_rule r ON r.series_id=d.id AND r.is_active=TRUE
WHERE d.master='zbggseri'
AND COALESCE(d.is_active, TRUE)=TRUE
ORDER BY d.id, r.priority DESC, r.id
`)
if err != nil {
return nil, err
}
defer rows.Close()
byID := map[int64]*productSeriesAutoRule{}
for rows.Next() {
var id int64
var code, title, group, size string
var ratio, priority int
if err := rows.Scan(&id, &code, &title, &group, &size, &ratio, &priority); err != nil {
return nil, err
}
r := byID[id]
if r == nil {
r = &productSeriesAutoRule{SeriesID: id, Code: strings.TrimSpace(code), Title: strings.TrimSpace(title), GroupKey: strings.TrimSpace(group), Ratio: map[string]int{}}
byID[id] = r
}
size = normalizeProductSeriesSize(size)
if size != "" {
if ratio <= 0 {
ratio = 1
}
r.Ratio[size] = ratio
if priority > r.Priority {
r.Priority = priority
}
}
}
if err := rows.Err(); err != nil {
return nil, err
}
out := make([]productSeriesAutoRule, 0, len(byID))
for _, r := range byID {
if len(r.Ratio) == 0 {
for _, part := range strings.Split(r.Title, "-") {
size := normalizeProductSeriesSize(part)
if size != "" {
r.Ratio[size] = 1
}
}
}
if len(r.Ratio) > 0 {
out = append(out, *r)
}
}
sort.Slice(out, func(i, j int) bool {
if out[i].Priority != out[j].Priority {
return out[i].Priority > out[j].Priority
}
if len(out[i].Ratio) != len(out[j].Ratio) {
return len(out[i].Ratio) > len(out[j].Ratio)
}
return out[i].Code < out[j].Code
})
return out, nil
}
func productSeriesSelectRules(v productSeriesAutoVariant, rules []productSeriesAutoRule) []productSeriesAutoRule {
candidates := make([]productSeriesAutoRule, 0, len(rules))
for _, rule := range rules {
if !productSeriesRuleFitsGroup(v.GroupKey, rule) {
continue
}
if productSeriesCanConsume(v.SizeQty, rule) {
candidates = append(candidates, rule)
}
}
if len(candidates) == 0 {
return nil
}
if len(candidates) > 24 {
candidates = candidates[:24]
}
type bestState struct {
score int
rules []productSeriesAutoRule
}
best := bestState{score: math.MinInt}
stock := copyProductSeriesStock(v.SizeQty)
var picked []productSeriesAutoRule
var dfs func(int)
dfs = func(idx int) {
if idx >= len(candidates) {
score := productSeriesSelectionScore(stock, picked)
if score > best.score {
best.score = score
best.rules = append([]productSeriesAutoRule(nil), picked...)
}
return
}
dfs(idx + 1)
rule := candidates[idx]
if productSeriesCanConsume(stock, rule) {
productSeriesConsume(stock, rule, -1)
picked = append(picked, rule)
dfs(idx + 1)
picked = picked[:len(picked)-1]
productSeriesConsume(stock, rule, 1)
}
}
dfs(0)
sort.Slice(best.rules, func(i, j int) bool { return best.rules[i].Code < best.rules[j].Code })
return best.rules
}
func productSeriesRuleFitsGroup(group string, rule productSeriesAutoRule) bool {
if rule.GroupKey != "" && rule.GroupKey != group {
return false
}
groupSizes := map[string]struct{}{}
for _, size := range productSeriesSizeGroups[group] {
groupSizes[normalizeProductSeriesSize(size)] = struct{}{}
}
if len(groupSizes) == 0 {
return true
}
for size := range rule.Ratio {
if _, ok := groupSizes[size]; !ok {
return false
}
}
return true
}
func productSeriesCanConsume(stock map[string]float64, rule productSeriesAutoRule) bool {
for size, ratio := range rule.Ratio {
if stock[size] < float64(ratio) {
return false
}
}
return true
}
func productSeriesConsume(stock map[string]float64, rule productSeriesAutoRule, sign float64) {
for size, ratio := range rule.Ratio {
stock[size] += sign * float64(ratio)
}
}
func productSeriesSelectionScore(remaining map[string]float64, picked []productSeriesAutoRule) int {
usedQty := 0
covered := map[string]struct{}{}
priority := 0
for _, rule := range picked {
priority += rule.Priority
for size, ratio := range rule.Ratio {
usedQty += ratio
covered[size] = struct{}{}
}
}
leftQty := 0
for _, qty := range remaining {
leftQty += int(math.Round(qty))
}
return usedQty*100 + len(covered)*20 + priority - leftQty*8 - len(picked)*5
}
func productSeriesResolvePGVariant(ctx context.Context, pg *sql.DB, productCode, colorCode, dim3Code string) (int64, int64, sql.NullInt64, bool, error) {
var mmitemID int64
if err := pg.QueryRowContext(ctx, `SELECT id FROM mmitem WHERE code=$1`, strings.TrimSpace(productCode)).Scan(&mmitemID); err != nil {
if err == sql.ErrNoRows {
return 0, 0, sql.NullInt64{}, false, nil
}
return 0, 0, sql.NullInt64{}, false, err
}
var dim1ID int64
if err := pg.QueryRowContext(ctx, `SELECT dim_id FROM mk_dim_token_map WHERE dim_column='dimval1' AND token=$1`, strings.TrimSpace(colorCode)).Scan(&dim1ID); err != nil {
if err == sql.ErrNoRows {
return 0, 0, sql.NullInt64{}, false, nil
}
return 0, 0, sql.NullInt64{}, false, err
}
var dim3ID sql.NullInt64
if strings.TrimSpace(dim3Code) != "" {
var id int64
if err := pg.QueryRowContext(ctx, `SELECT dim_id FROM mk_dim_token_map WHERE dim_column='dimval3' AND token=$1`, strings.TrimSpace(dim3Code)).Scan(&id); err != nil {
if err == sql.ErrNoRows {
return 0, 0, sql.NullInt64{}, false, nil
}
return 0, 0, sql.NullInt64{}, false, err
}
dim3ID = sql.NullInt64{Int64: id, Valid: true}
}
return mmitemID, dim1ID, dim3ID, true, nil
}
func productSeriesClaimQueue(ctx context.Context, tx *sql.Tx, limit int) ([]productSeriesQueueItem, error) {
rows, err := tx.QueryContext(ctx, `
WITH picked AS (
SELECT id
FROM mk_product_series_recalc_queue
WHERE status='pending'
AND available_at <= now()
ORDER BY queued_at
LIMIT $1
FOR UPDATE SKIP LOCKED
)
UPDATE mk_product_series_recalc_queue q
SET status='processing', updated_at=now()
FROM picked
WHERE q.id=picked.id
RETURNING q.id, q.row_key, q.product_code, q.color_code, q.dim3_code, q.attempts
`, limit)
if err != nil {
return nil, err
}
defer rows.Close()
out := []productSeriesQueueItem{}
for rows.Next() {
var it productSeriesQueueItem
if err := rows.Scan(&it.ID, &it.RowKey, &it.ProductCode, &it.ColorCode, &it.Dim3Code, &it.Attempts); err != nil {
return nil, err
}
out = append(out, it)
}
return out, rows.Err()
}
func productSeriesEnqueueTx(ctx context.Context, tx *sql.Tx, productCode, colorCode, dim3Code, reason string) (int, error) {
productCode = strings.TrimSpace(productCode)
colorCode = strings.TrimSpace(colorCode)
dim3Code = strings.TrimSpace(dim3Code)
if productCode == "" || colorCode == "" {
return 0, nil
}
_, err := tx.ExecContext(ctx, `
INSERT INTO mk_product_series_recalc_queue (row_key, product_code, color_code, dim3_code, reason, status, attempts, available_at, queued_at, last_error, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, 'pending', 0, now(), now(), '', now(), now())
`, productSeriesAutoKey(productCode, colorCode, dim3Code), productCode, colorCode, dim3Code, strings.TrimSpace(reason))
if err != nil {
if pe, ok := err.(*pq.Error); ok && pe != nil && string(pe.Code) == "23505" {
return 0, nil
}
return 0, err
}
return 1, nil
}
func productSeriesMarkQueueDone(ctx context.Context, pg *sql.DB, id int64) error {
_, err := pg.ExecContext(ctx, `
UPDATE mk_product_series_recalc_queue
SET status='done', processed_at=now(), updated_at=now(), last_error=''
WHERE id=$1
`, id)
return err
}
func productSeriesMarkQueueFailed(ctx context.Context, pg *sql.DB, it productSeriesQueueItem, errText string) error {
if len(errText) > 900 {
errText = errText[:900]
}
delay := 5 * time.Minute
if it.Attempts >= 1 {
delay = 15 * time.Minute
}
if it.Attempts >= 2 {
delay = 60 * time.Minute
}
_, err := pg.ExecContext(ctx, `
UPDATE mk_product_series_recalc_queue
SET status='failed',
attempts=attempts+1,
processed_at=now(),
updated_at=now(),
last_error=$2,
available_at=now() + $3::interval
WHERE id=$1
`, it.ID, strings.TrimSpace(errText), fmt.Sprintf("%d seconds", int(delay.Seconds())))
return err
}
func productSeriesDetectGroup(v productSeriesAutoVariant) string {
text := strings.ToUpper(v.Kategori + " " + v.UrunAnaGrubu + " " + v.UrunAltGrubu)
switch {
case strings.Contains(text, "AYAKKABI") && strings.Contains(text, "GARSON"):
return "ayk_garson"
case strings.Contains(text, "AYAKKABI"):
return "ayk"
case strings.Contains(text, "PANTOLON"):
return "pan"
case strings.Contains(text, "TAKIM") || strings.Contains(text, "DAMATLIK") || strings.Contains(text, "CEKET") || strings.Contains(text, "KABAN") || strings.Contains(text, "MONT") || strings.Contains(text, "YELEK"):
return "tak"
case strings.Contains(text, "GOMLEK") || strings.Contains(text, "GÖMLEK"):
return "gom"
case strings.Contains(text, "YAS") || strings.Contains(text, "YAŞ") || strings.Contains(text, "COCUK") || strings.Contains(text, "ÇOCUK"):
return "yas"
case strings.Contains(text, "AKSESUAR") || strings.Contains(text, "KRAVAT") || strings.Contains(text, "KEMER") || strings.Contains(text, "PAPYON"):
return "aks"
default:
return productSeriesDetectGroupBySizes(v.SizeQty)
}
}
func productSeriesDetectGroupBySizes(sizeQty map[string]float64) string {
bestKey := "tak"
bestCount := -1
for _, key := range []string{"tak", "pan", "gom", "ayk", "ayk_garson", "yas", "aks"} {
sizes := productSeriesSizeGroups[key]
set := map[string]struct{}{}
for _, size := range sizes {
set[normalizeProductSeriesSize(size)] = struct{}{}
}
count := 0
miss := 0
for size := range sizeQty {
if _, ok := set[size]; ok {
count++
} else {
miss++
}
}
if miss == 0 && count > bestCount {
bestKey = key
bestCount = count
}
}
return bestKey
}
func productSeriesStockHash(sizeQty map[string]float64) string {
keys := make([]string, 0, len(sizeQty))
for k := range sizeQty {
keys = append(keys, k)
}
sort.Strings(keys)
parts := make([]string, 0, len(keys))
for _, k := range keys {
parts = append(parts, fmt.Sprintf("%s=%.2f", k, sizeQty[k]))
}
sum := sha1.Sum([]byte(strings.Join(parts, "|")))
return hex.EncodeToString(sum[:])
}
func productSeriesAutoKey(productCode, colorCode, dim3Code string) string {
return strings.TrimSpace(productCode) + "|" + strings.TrimSpace(colorCode) + "|" + strings.TrimSpace(dim3Code)
}
func normalizeProductSeriesSize(v string) string {
return strings.ToUpper(strings.TrimSpace(v))
}
func copyProductSeriesStock(in map[string]float64) map[string]float64 {
out := make(map[string]float64, len(in))
for k, v := range in {
out[k] = v
}
return out
}
func nullableInt64ForAuto(v sql.NullInt64) any {
if !v.Valid {
return nil
}
return v.Int64
}
func nextProductSeriesWeeklyRun(now time.Time, hh int, mm int) time.Time {
loc := now.Location()
base := time.Date(now.Year(), now.Month(), now.Day(), hh, mm, 0, 0, loc)
daysUntilMon := (int(time.Monday) - int(now.Weekday()) + 7) % 7
candidate := base.AddDate(0, 0, daysUntilMon)
if !candidate.After(now) {
candidate = candidate.AddDate(0, 0, 7)
}
return candidate
}
func envBool(key string, fallback bool) bool {
raw := strings.TrimSpace(strings.ToLower(os.Getenv(key)))
if raw == "" {
return fallback
}
return raw == "1" || raw == "true" || raw == "on" || raw == "yes"
}
func envIntRange(key string, fallback int, min int, max int) int {
raw := strings.TrimSpace(os.Getenv(key))
if raw == "" {
return fallback
}
n, err := strconv.Atoi(raw)
if err != nil || n < min || n > max {
return fallback
}
return n
}
func envHHMM(key string, fallbackHH int, fallbackMM int) (int, int) {
raw := strings.TrimSpace(os.Getenv(key))
if raw == "" {
return fallbackHH, fallbackMM
}
parts := strings.Split(raw, ":")
if len(parts) != 2 {
return fallbackHH, fallbackMM
}
hh, errH := strconv.Atoi(strings.TrimSpace(parts[0]))
mm, errM := strconv.Atoi(strings.TrimSpace(parts[1]))
if errH != nil || errM != nil || hh < 0 || hh > 23 || mm < 0 || mm > 59 {
return fallbackHH, fallbackMM
}
return hh, mm
}