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int_zendesk__requester_wait_time_business_hours.sql
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int_zendesk__requester_wait_time_business_hours.sql
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{{ config(enabled=var('using_schedules', True)) }}
-- REQUESTER WAIT TIME
-- This is complicated, as SLAs minutes are only counted while the ticket is in 'new', 'open', and 'on-hold' status.
-- Additionally, for business hours, only 'new', 'open', and 'on-hold' status hours are counted if they are also during business hours
with requester_wait_time_filtered_statuses as (
select *
from {{ ref('int_zendesk__requester_wait_time_filtered_statuses') }}
where in_business_hours
), schedule as (
select *
from {{ ref('int_zendesk__schedule_spine') }}
), ticket_schedules as (
select *
from {{ ref('int_zendesk__ticket_schedules') }}
-- cross schedules with work time
), ticket_status_crossed_with_schedule as (
select
requester_wait_time_filtered_statuses.ticket_id,
requester_wait_time_filtered_statuses.sla_applied_at,
requester_wait_time_filtered_statuses.target,
requester_wait_time_filtered_statuses.sla_policy_name,
ticket_schedules.schedule_id,
-- take the intersection of the intervals in which the status and the schedule were both active, for calculating the business minutes spent working on the ticket
greatest(valid_starting_at, schedule_created_at) as valid_starting_at,
least(valid_ending_at, schedule_invalidated_at) as valid_ending_at,
-- bringing the following in the determine which schedule (Daylight Savings vs Standard time) to use
valid_starting_at as status_valid_starting_at,
valid_ending_at as status_valid_ending_at
from requester_wait_time_filtered_statuses
left join ticket_schedules
on requester_wait_time_filtered_statuses.ticket_id = ticket_schedules.ticket_id
where {{ dbt.datediff(
'greatest(valid_starting_at, schedule_created_at)',
'least(valid_ending_at, schedule_invalidated_at)',
'second') }} > 0
), ticket_full_solved_time as (
select
ticket_id,
sla_applied_at,
target,
sla_policy_name,
schedule_id,
valid_starting_at,
valid_ending_at,
status_valid_starting_at,
status_valid_ending_at,
({{ dbt.datediff(
"cast(" ~ dbt_date.week_start('ticket_status_crossed_with_schedule.valid_starting_at','UTC') ~ "as " ~ dbt.type_timestamp() ~ ")",
"cast(ticket_status_crossed_with_schedule.valid_starting_at as " ~ dbt.type_timestamp() ~ ")",
'second') }} /60
) as valid_starting_at_in_minutes_from_week,
({{ dbt.datediff(
'ticket_status_crossed_with_schedule.valid_starting_at',
'ticket_status_crossed_with_schedule.valid_ending_at',
'second') }} /60
) as raw_delta_in_minutes,
{{ dbt_date.week_start('ticket_status_crossed_with_schedule.valid_starting_at','UTC') }} as start_week_date
from ticket_status_crossed_with_schedule
{{ dbt_utils.group_by(n=10) }}
), weeks as (
{{ dbt_utils.generate_series(208) }}
), weeks_cross_ticket_full_solved_time as (
-- because time is reported in minutes since the beginning of the week, we have to split up time spent on the ticket into calendar weeks
select
ticket_full_solved_time.*,
cast(generated_number - 1 as {{ dbt.type_int() }}) as week_number
from ticket_full_solved_time
cross join weeks
where floor((valid_starting_at_in_minutes_from_week + raw_delta_in_minutes) / (7*24*60)) >= generated_number -1
), weekly_period_requester_wait_time as (
select
ticket_id,
sla_applied_at,
valid_starting_at,
valid_ending_at,
status_valid_starting_at,
status_valid_ending_at,
target,
sla_policy_name,
valid_starting_at_in_minutes_from_week,
raw_delta_in_minutes,
week_number,
schedule_id,
start_week_date,
cast(greatest(0, valid_starting_at_in_minutes_from_week - week_number * (7*24*60)) as {{ dbt.type_int() }}) as ticket_week_start_time_minute,
cast(least(valid_starting_at_in_minutes_from_week + raw_delta_in_minutes - week_number * (7*24*60), (7*24*60)) as {{ dbt.type_int() }}) as ticket_week_end_time_minute
from weeks_cross_ticket_full_solved_time
), intercepted_periods_agent as (
select
weekly_period_requester_wait_time.ticket_id,
weekly_period_requester_wait_time.sla_applied_at,
weekly_period_requester_wait_time.target,
weekly_period_requester_wait_time.sla_policy_name,
weekly_period_requester_wait_time.valid_starting_at,
weekly_period_requester_wait_time.valid_ending_at,
weekly_period_requester_wait_time.week_number,
weekly_period_requester_wait_time.ticket_week_start_time_minute,
weekly_period_requester_wait_time.ticket_week_end_time_minute,
schedule.start_time_utc as schedule_start_time,
schedule.end_time_utc as schedule_end_time,
least(ticket_week_end_time_minute, schedule.end_time_utc) - greatest(weekly_period_requester_wait_time.ticket_week_start_time_minute, schedule.start_time_utc) as scheduled_minutes
from weekly_period_requester_wait_time
join schedule on ticket_week_start_time_minute <= schedule.end_time_utc
and ticket_week_end_time_minute >= schedule.start_time_utc
and weekly_period_requester_wait_time.schedule_id = schedule.schedule_id
-- this chooses the Daylight Savings Time or Standard Time version of the schedule
-- We have everything calculated within a week, so take us to the appropriate week first by adding the week_number * minutes-in-a-week to the minute-mark where we start and stop counting for the week
and cast( {{ dbt.dateadd(datepart='minute', interval='week_number * (7*24*60) + ticket_week_end_time_minute', from_date_or_timestamp='start_week_date') }} as {{ dbt.type_timestamp() }}) > cast(schedule.valid_from as {{ dbt.type_timestamp() }})
and cast( {{ dbt.dateadd(datepart='minute', interval='week_number * (7*24*60) + ticket_week_start_time_minute', from_date_or_timestamp='start_week_date') }} as {{ dbt.type_timestamp() }}) < cast(schedule.valid_until as {{ dbt.type_timestamp() }})
), intercepted_periods_with_running_total as (
select
*,
sum(scheduled_minutes) over
(partition by ticket_id, sla_applied_at
order by valid_starting_at, week_number, schedule_end_time
rows between unbounded preceding and current row)
as running_total_scheduled_minutes
from intercepted_periods_agent
), intercepted_periods_agent_with_breach_flag as (
select
intercepted_periods_with_running_total.*,
target - running_total_scheduled_minutes as remaining_target_minutes,
lag(target - running_total_scheduled_minutes) over
(partition by ticket_id, sla_applied_at order by valid_starting_at, week_number, schedule_end_time) as lag_check,
case when (target - running_total_scheduled_minutes) = 0 then true
when (target - running_total_scheduled_minutes) < 0
and
(lag(target - running_total_scheduled_minutes) over
(partition by ticket_id, sla_applied_at order by valid_starting_at, week_number, schedule_end_time) > 0
or
lag(target - running_total_scheduled_minutes) over
(partition by ticket_id, sla_applied_at order by valid_starting_at, week_number, schedule_end_time) is null)
then true else false end as is_breached_during_schedule
from intercepted_periods_with_running_total
), intercepted_periods_agent_filtered as (
select
*,
(remaining_target_minutes + scheduled_minutes) as breach_minutes,
greatest(ticket_week_start_time_minute, schedule_start_time) + (remaining_target_minutes + scheduled_minutes) as breach_minutes_from_week
from intercepted_periods_agent_with_breach_flag
), requester_wait_business_breach as (
select
*,
{{ fivetran_utils.timestamp_add(
"minute",
"cast(((7*24*60) * week_number) + breach_minutes_from_week as " ~ dbt.type_int() ~ " )",
"" ~ dbt.date_trunc('week', 'valid_starting_at') ~ "",
) }} as sla_breach_at
from intercepted_periods_agent_filtered
)
select *
from requester_wait_business_breach