fix: refactored sql request for get days + highlight invalid bookings and ignore them for calculation
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Tests / Run Go Tests (push) Failing after 1m14s

fixed #77
This commit is contained in:
2026-02-06 17:54:16 +01:00
parent 38322a64cf
commit 2d8747c971
4 changed files with 220 additions and 154 deletions

View File

@@ -36,6 +36,7 @@ type Booking struct {
Timestamp time.Time `json:"timestamp"`
CounterId int `json:"counter_id"`
BookingType BookingType `json:"anwesenheit_typ"`
Valid bool `json:"valid"`
}
type IDatabase interface {
@@ -252,12 +253,13 @@ func (b *Booking) Update(nb Booking) {
func checkLastBooking(b Booking) bool {
var check_in_out int
slog.Info("Checking with timestamp:", "timestamp", b.Timestamp.String())
stmt, err := DB.Prepare((`SELECT check_in_out FROM "anwesenheit" WHERE "card_uid" = $1 AND "timestamp"::DATE <= $2::DATE ORDER BY "timestamp" DESC LIMIT 1;`))
stmt, err := DB.Prepare((`SELECT check_in_out FROM "anwesenheit" WHERE "card_uid" = $1 AND "timestamp" <= $2 ORDER BY "timestamp" DESC LIMIT 1;`))
if err != nil {
log.Fatalf("Error preparing query: %v", err)
return false
}
err = stmt.QueryRow(b.CardUID, b.Timestamp).Scan(&check_in_out)
slog.Info("Checking last bookings check_in_out", "Check", check_in_out)
if err == sql.ErrNoRows {
return true
}

View File

@@ -186,97 +186,148 @@ func GetWorkDays(user User, tsFrom, tsTo time.Time) []WorkDay {
var workSec, pauseSec float64
qStr, err := DB.Prepare(`
WITH all_days AS (
SELECT generate_series($2::DATE, $3::DATE - INTERVAL '1 day', INTERVAL '1 day')::DATE AS work_date),
normalized_bookings AS (
SELECT *
FROM (
SELECT
a.card_uid,
a.timestamp,
a.timestamp::DATE AS work_date,
a.check_in_out,
a.counter_id,
a.anwesenheit_typ,
sat.anwesenheit_name AS anwesenheit_typ_name,
LAG(a.check_in_out) OVER (
PARTITION BY a.card_uid, a.timestamp::DATE
ORDER BY a.timestamp
) AS prev_check
FROM anwesenheit a
LEFT JOIN s_anwesenheit_typen sat
ON a.anwesenheit_typ = sat.anwesenheit_id
WHERE a.card_uid = $1
AND a.timestamp::DATE >= $2
AND a.timestamp::DATE <= $3
) t
WHERE prev_check IS NULL OR prev_check <> check_in_out
),
ordered_bookings AS (
SELECT
*,
LAG(timestamp) OVER (
PARTITION BY card_uid, work_date
ORDER BY timestamp
) AS prev_timestamp
FROM normalized_bookings
)
SELECT
d.work_date,
COALESCE(MIN(b.timestamp), NOW()) AS time_from,
COALESCE(MAX(b.timestamp), NOW()) AS time_to,
COALESCE(
EXTRACT(EPOCH FROM SUM(
CASE
WHEN b.prev_check IN (1, 3) AND b.check_in_out IN (2, 4, 254)
THEN b.timestamp - b.prev_timestamp
ELSE INTERVAL '0'
END
)), 0
) AS total_work_seconds,
COALESCE(
EXTRACT(EPOCH FROM SUM(
CASE
WHEN b.prev_check IN (2, 4, 254) AND b.check_in_out IN (1, 3)
THEN b.timestamp - b.prev_timestamp
ELSE INTERVAL '0'
END
)), 0
) AS total_pause_seconds,
COALESCE(jsonb_agg(jsonb_build_object(
'check_in_out', b.check_in_out,
'timestamp', b.timestamp,
'counter_id', b.counter_id,
'anwesenheit_typ', b.anwesenheit_typ,
'anwesenheit_typ', jsonb_build_object(
'anwesenheit_id', b.anwesenheit_typ,
'anwesenheit_name', b.anwesenheit_typ_name
)
) ORDER BY b.timestamp), '[]'::jsonb) AS bookings
FROM all_days d
LEFT JOIN ordered_bookings b ON d.work_date = b.work_date
GROUP BY d.work_date
ORDER BY d.work_date ASC;`)
WITH
all_days AS (
SELECT
generate_series(
$2 ::DATE,
$3 ::DATE - INTERVAL '1 day',
INTERVAL '1 day'
)::DATE AS work_date
),
all_bookings AS (
SELECT
a.card_uid,
a.timestamp,
a.timestamp::DATE AS work_date,
a.check_in_out,
a.counter_id,
a.anwesenheit_typ,
sat.anwesenheit_name AS anwesenheit_typ_name,
LAG(a.check_in_out) OVER (
PARTITION BY
a.card_uid,
a.timestamp::DATE
ORDER BY
a.timestamp
) AS prev_check,
LAG(a.timestamp) OVER (
PARTITION BY
a.card_uid,
a.timestamp::DATE
ORDER BY
a.timestamp
) AS prev_timestamp
FROM
anwesenheit a
LEFT JOIN s_anwesenheit_typen sat ON a.anwesenheit_typ = sat.anwesenheit_id
WHERE
a.card_uid = $1
AND a.timestamp::DATE >= $2::DATE
AND a.timestamp::DATE <= $3::DATE
),
normalized_bookings AS (
SELECT
*
FROM
all_bookings
WHERE
prev_check IS NULL
OR prev_check <> check_in_out
)
SELECT
d.work_date,
COALESCE(MIN(b.timestamp), NOW()) AS time_from,
COALESCE(MAX(b.timestamp), NOW()) AS time_to,
EXTRACT(
EPOCH
FROM
SUM(
CASE
WHEN b.prev_check IN (1, 3)
AND b.check_in_out IN (2, 4, 254) THEN b.timestamp - b.prev_timestamp
ELSE INTERVAL '0'
END
)
) AS total_work_seconds,
EXTRACT(
EPOCH
FROM
SUM(
CASE
WHEN b.prev_check IN (2, 4, 254)
AND b.check_in_out IN (1, 3) THEN b.timestamp - b.prev_timestamp
ELSE INTERVAL '0'
END
)
) AS total_pause_seconds,
jsonb_agg(
jsonb_build_object(
'check_in_out',
b.check_in_out,
'valid',
coalesce(b.check_in_out != b.prev_check, true),
'timestamp',
b.timestamp,
'counter_id',
b.counter_id,
'anwesenheit_typ',
jsonb_build_object(
'anwesenheit_id',
b.anwesenheit_typ,
'anwesenheit_name',
b.anwesenheit_typ_name
)
)
ORDER BY
b.timestamp
) FILTER (
WHERE
b.card_uid IS NOT NULL
) AS bookings
FROM
all_days d
LEFT JOIN all_bookings b ON b.work_date = d.work_date
GROUP BY
d.work_date;
`)
// qStr, err := DB.Prepare(`
// WITH all_days AS (
// SELECT generate_series($2::DATE, $3::DATE - INTERVAL '1 day', INTERVAL '1 day')::DATE AS work_date),
// ordered_bookings AS (
// SELECT
// a.timestamp::DATE AS work_date,
// a.timestamp,
// a.check_in_out,
// a.counter_id,
// a.anwesenheit_typ,
// sat.anwesenheit_name AS anwesenheit_typ_name,
// LAG(a.timestamp) OVER (PARTITION BY a.card_uid, a.timestamp::DATE ORDER BY a.timestamp) AS prev_timestamp,
// LAG(a.check_in_out) OVER (PARTITION BY a.card_uid, a.timestamp::DATE ORDER BY a.timestamp) AS prev_check
// FROM anwesenheit a
// LEFT JOIN s_anwesenheit_typen sat ON a.anwesenheit_typ = sat.anwesenheit_id
// WHERE a.card_uid = $1
// AND a.timestamp::DATE >= $2
// AND a.timestamp::DATE <= $3
// )
// normalized_bookings AS (
// SELECT *
// FROM (
// SELECT
// a.card_uid,
// a.timestamp,
// a.timestamp::DATE AS work_date,
// a.check_in_out,
// a.counter_id,
// a.anwesenheit_typ,
// sat.anwesenheit_name AS anwesenheit_typ_name,
// LAG(a.check_in_out) OVER (
// PARTITION BY a.card_uid, a.timestamp::DATE
// ORDER BY a.timestamp
// ) AS prev_check
// FROM anwesenheit a
// LEFT JOIN s_anwesenheit_typen sat
// ON a.anwesenheit_typ = sat.anwesenheit_id
// WHERE a.card_uid = $1
// AND a.timestamp::DATE >= $2
// AND a.timestamp::DATE <= $3
// ) t
// WHERE prev_check IS NULL OR prev_check <> check_in_out
// ),
// ordered_bookings AS (
// SELECT
// *,
// LAG(timestamp) OVER (
// PARTITION BY card_uid, work_date
// ORDER BY timestamp
// ) AS prev_timestamp
// FROM normalized_bookings
// )
// SELECT
// d.work_date,
// COALESCE(MIN(b.timestamp), NOW()) AS time_from,
@@ -330,26 +381,29 @@ func GetWorkDays(user User, tsFrom, tsTo time.Time) []WorkDay {
var workDay WorkDay
var bookings []byte
if err := rows.Scan(&workDay.Day, &workDay.TimeFrom, &workDay.TimeTo, &workSec, &pauseSec, &bookings); err != nil {
log.Println("Error scanning row!", err)
slog.Error("Error scanning row!", "Error", err)
return workDays
}
workDay.workTime = time.Duration(workSec * float64(time.Second))
workDay.pauseTime = time.Duration(pauseSec * float64(time.Second))
err = json.Unmarshal(bookings, &workDay.Bookings)
if err != nil {
log.Println("Error parsing bookings JSON!", err)
return nil
if bookings != nil {
err = json.Unmarshal(bookings, &workDay.Bookings)
if err != nil {
slog.Error("Error parsing bookings JSON!", "Error", err, "Json", bookings)
return nil
}
}
// better empty day handling
if len(workDay.Bookings) == 1 && workDay.Bookings[0].CounterId == 0 {
workDay.Bookings = []Booking{}
}
// if len(workDay.Bookings) == 1 && workDay.Bookings[0].CounterId == 0 {
// workDay.Bookings = []Booking{}
// }
if len(workDay.Bookings) >= 1 || !helper.IsWeekend(workDay.Date()) {
workDays = append(workDays, workDay)
}
}
if err = rows.Err(); err != nil {
log.Println("Error in workday rows!", err)
slog.Error("Error in workday rows!", "Error", err)
return workDays
}
return workDays