793 lines
41 KiB
Plaintext
793 lines
41 KiB
Plaintext
<cfsilent>
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<cfimport prefix="m" taglib="lib"/>
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<cfimport prefix="c" taglib="lib/controls"/>
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<cfimport prefix="d" taglib="lib/data"/>
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<cfimport prefix="layout" taglib="layout"/>
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</cfsilent>
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<m:prepare_ls entity="payg" accessObject="" pageInfoOut="pageInfo" trackOut="tr"/>
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<!---
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<cfparam name="dt_finish" type="date" default=#createDateTime(year(Now()),month(Now()),1,0,0,0)#/>
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<cfparam name="dt_start" type="date" default=#dateAdd('m',-1,dt_finish)#/> --->
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<cfparam name="dt_finish" type="date" default=#dateAdd('d',-1,createDateTime(year(Now()),month(Now()),1,0,0,0))#/>
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<cfparam name="dt_start" type="date" default=#dateAdd('m',-1,createDateTime(year(Now()),month(Now()),1,0,0,0))#/>
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<cfset hours=dateDiff('h', dt_start, dateAdd('d', 1, dt_finish))/>
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<cfparam name="only_articles_in_spec" type="boolean" default=false/>
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<cfparam name="wz" default=""/>
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<cfparam name="code" default=""/>
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<!--- *** коды лучше взять из каталога --->
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<cfquery name="qCode" datasource="dwh" cachedWithin=#createTimeSpan(0, 0, 20, 0)#>
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select distinct p.code
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from elma.deals d
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join elma.deals_services siv on (d.__id=ANY(siv.deal))
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join elma.service_parametrs p on (p.__id = ANY(siv.params))
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join elma.companies k on (d._companies=k.__id)
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join elma.additional_agreements aa on (aa.__id = ANY(siv.additional_agreement))
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join elma.aggrements a on (aa.contract_uid = a.__id)
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where p.type=3 AND aa.is_actual
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order by p.code
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</cfquery>
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<cfoutput>qCode:#getTickCount()-request.startTickCount#</cfoutput>
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<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<!--- <cfdump var=#qCode#/> --->
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<cfquery name="qContragent" datasource="dwh" cachedWithin=#createTimeSpan(0, 0, 22, 0)#>
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select upper(trim(k.id_klienta)) as wz, k.__id::text as contragent_uid, k.__name as contragent,
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c.__name as responsible, c.email as responsible_email, c.__status_status as responsible_status
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from elma.companies k
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LEFT OUTER JOIN elma.comp_users_ext c on (k.responsible=c.__id)
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where k."__deletedAt" IS NULL
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<cfif len(wz)>
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AND k.id_klienta like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
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</cfif>
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</cfquery>
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<cfoutput>qContragent:#getTickCount()-request.startTickCount#</cfoutput>
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<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfquery name="qSpec" datasource="dwh" cachedWithin=#createTimeSpan(0, 0, 23, 0)#>
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WITH
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status(status, status_id, probability_pc)
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AS (VALUES
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('Закрыта неуспешно',7,0),('Закрыта успешно',6,100),('Договор подписан',5,100),('Договор на подписании',15,90),('Договор на согласовании',12,70),
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('Тестирование',8,50),('Отправлено ТКП',10,20),('Внутреннее согласование',37,10),('Проработка решения',4,10),('Сбор потребностей',1,0)
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)
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select upper(trim(k.id_klienta)) as wz, k.__id::text as contragent_uid,
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p.code,
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SUBSTRING(p.code FROM 1 FOR LENGTH(p.code) - 2) as sku_code,
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p.price, p.discount as component_discount, k.__name as contragent, a.__name as contract, a.__id::text as contract_uid, d.__name as deal, d.__id::text as deal_uid, siv.abstractive_service as abstract_service, siv.modifier, siv.user_description, siv.hash as line_key
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,siv.date_nop as serviceStart, siv.date_end as serviceEnd, siv.discount as service_discount, siv.cnt as service_quantity
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/*,p.__name as line_key*/, p.ed_izm, p.name as component, p.type, p.cnt*coalesce(siv.cnt,1) as component_quantity,
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aa.__name as additional_agreement, aa.__id::text as additional_agreement_uid
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--, aa.is_actual
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,siv.end_customer as end_customer_uid
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,z.id_klienta as end_customer_wz
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,z.__name as end_customer_name
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,ft.free_tier
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,s.probability_pc
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,siv.__id::text as siv_uid
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from elma.deals d
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JOIN STATUS s ON (d.__status_status = s.status_id)
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join elma.deals_services siv on (d.__id=ANY(siv.deal))
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--join elma.service_parametrs p on (p.__id = ANY(siv.params))
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LEFT JOIN LATERAL unnest(siv.params) AS arr(param_id) ON TRUE
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JOIN elma.service_parametrs p ON (p.__id = arr.param_id)
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join elma.companies k on (d._companies=k.__id)
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join elma.additional_agreements aa on (aa.__id = ANY(siv.additional_agreement))
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join elma.aggrements a on (aa.contract_uid = a.__id)
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left outer join elma.companies z on (siv.end_customer=z.__id)
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left outer join (values ('paas.s3.ceph.vol-m',1),('paas.s3.ceph.get-m',10),('paas.s3.ceph.put-m',1),('paas.s3.ceph.trf-m',100)) as ft(code,free_tier) ON (p.code=ft.code)
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where p.type IN (2,3) AND aa.is_actual
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AND siv.date_nop < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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AND (siv.date_end > <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/> OR siv.date_end IS NULL)/*****/
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AND aa."__deletedAt" IS NULL
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AND a."__deletedAt" IS NULL
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AND d."__deletedAt" IS NULL
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AND siv."__deletedAt" IS NULL
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AND p."__deletedAt" IS NULL
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AND p.cnt <> 0 --похоже, только так можно отфильтровать паразитные строки с нулем
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<cfif len(wz)>
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AND k.id_klienta like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
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</cfif>
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<cfif len(code)>
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AND p.code like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
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</cfif>
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--AND k.id_klienta='WZ01031'
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--AND k.id_klienta='WZ01112'
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order by k.id_klienta, p.code
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</cfquery>
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<!--- select * from elma.deals_services where __id='019edf9c-c1e8-7acd-8b63-5369e5be5bf5'
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union all
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select * from elma.deals_services where __id='019edf9c-c23d-7ad6-a990-643dd09579b8' --->
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<!--- здесь имеем список кодов с ценами и WZ. Каждому коду можно поставить в соответствие запрос, который даст по нему выборку. Изредка один запрос может вывести 2 кода, но разбить на 2 запроса легко. Кроме того, запросы можно объединить через union в один - может быть, так будет лучше читаться (быстрее выполняться не будет) --->
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<cfoutput>qSpec:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfif isDefined("DEBUG")>
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<cfdump var=#qSpec#/>
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<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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</cfif>
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<!--- siv means specification item version --->
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<cfquery name="qSivAge" datasource="dwh" cachedWithin=#createTimeSpan(0, 0, 25, 0)#>
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select max(dt_load) as dt_load from elma.deals_services
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</cfquery>
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<cfoutput>qSivAge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfquery name="qComputing" datasource="billing-vc" cachedWithin=#createTimeSpan(0, 0, 25, 0)#>
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select upper(trim(m.clientid)) as wz, vdc.name as vdc,
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case
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WHEN vdc.name LIKE '%-v1cl1%' THEN 'iaas.ngc.i29'
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WHEN vdc.name LIKE '%-v1cl2%' THEN 'iaas.ngc.i31'
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WHEN vdc.name LIKE '%-v1cl4%' THEN 'iaas.ngc.a28'
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WHEN vdc.name LIKE '%-v1cl5%' THEN 'iaas.ngc.a45'
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WHEN vdc.name LIKE '%-v1cl6%' THEN 'iaas.ngc.i28'
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WHEN vdc.name LIKE '%-v1cl7%' THEN 'iaas.ngc.a40' -- *** смапить все кластера
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else '['||vdc.name||']' end as code,
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sum(cpu_used/cpu_speed)/4. as core_h,
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sum(mem_used)/1024/4. as gb_h
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from ngcloud_ru.capacity_resource
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join ngcloud_ru.vdc on capacity_resource.vdc_id=vdc.id
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join ngcloud_ru.tenant t on (t.id=vdc.tenant_id)
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LEFT JOIN LATERAL (
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SELECT m.clientid
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FROM ngcloud_ru.tenant_metadata tm
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JOIN ngcloud_ru.metadata m ON tm.metadata_id = m.id
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WHERE tm.tenant_id = t.id
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ORDER BY tm.ts DESC, tm.metadata_id DESC
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LIMIT 1
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) m ON true
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where length(m.clientid) > 0
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AND capacity_resource.timestamp >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND capacity_resource.timestamp < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dateAdd("d",1,dt_finish)#/>
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<cfif len(wz)>
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AND m.clientid like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
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</cfif>
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group by m.clientid, vdc.name
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order by m.clientid, vdc.name;
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</cfquery>
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<!--- recommended CREATE INDEX idx_tenant_metadata_tenant_ts_desc ON ngcloud_ru.tenant_metadata (tenant_id, ts DESC, metadata_id DESC); --->
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<cfoutput>qComputing:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfif isDefined("DEBUG")>
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<cfdump var=#qComputing#/>
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<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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</cfif>
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<cfquery name="qComputingAge" datasource="billing-vc" cachedWithin=#createTimeSpan(0, 0, 25, 0)#>
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select max(capacity_resource.timestamp) as dt_load from ngcloud_ru.capacity_resource
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</cfquery>
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<cfoutput>qComputingAge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<!--- переделать storage_profile_types с расшифровкой ssd, sata, можно прямо до каталожного кода --->
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<cfquery name="qStorage" datasource="billing-vc" cachedWithin=#createTimeSpan(0, 0, 27, 0)#>
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select upper(trim(m.clientid)) as wz, vdc.name as vdc,
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case
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WHEN vdc.name LIKE '%-v1cl1%' THEN 'iaas.ngc.i29'
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WHEN vdc.name LIKE '%-v1cl2%' THEN 'iaas.ngc.i31'
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WHEN vdc.name LIKE '%-v1cl4%' THEN 'iaas.ngc.a28'
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WHEN vdc.name LIKE '%-v1cl5%' THEN 'iaas.ngc.a45'
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WHEN vdc.name LIKE '%-v1cl6%' THEN 'iaas.ngc.i28'
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WHEN vdc.name LIKE '%-v1cl7%' THEN 'iaas.ngc.a40' -- *** смапить все кластера
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ELSE '['||vdc.name||']' END
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|| CASE
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WHEN storage_profile_types.name ILIKE '%FASTSSD%' THEN '.fstssd'
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WHEN storage_profile_types.name ILIKE '%SSD%' THEN '.ssd'
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WHEN storage_profile_types.name ILIKE '%SAS%' THEN '.sas'
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WHEN storage_profile_types.name ILIKE '%SATA%' THEN '.sata'
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ELSE '.['|| storage_profile_types.name ||']' END
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as code,
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storage_profile_types.name as profile,
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sum("limit")/1024./4./<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/> as gb_m_limit, -- 4 потому, что сбор раз в 15 минут
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sum(used)/1024./4./<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/> as gb_m_used
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from ngcloud_ru.capacity_storage
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join ngcloud_ru.vdc on capacity_storage.vdc_id=vdc.id
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join ngcloud_ru.tenant t on t.id=vdc.tenant_id
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LEFT JOIN LATERAL (
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SELECT m.clientid
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FROM ngcloud_ru.tenant_metadata tm
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JOIN ngcloud_ru.metadata m ON tm.metadata_id = m.id
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WHERE tm.tenant_id = t.id
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ORDER BY tm.ts DESC, tm.metadata_id DESC
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LIMIT 1
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) m ON true
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join ngcloud_ru.storage_profile_types on capacity_storage.storage_profile_types_id=storage_profile_types.id
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where length(m.clientid) > 0
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AND capacity_storage.timestamp >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND capacity_storage.timestamp < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dateAdd("d",1,dt_finish)#/>
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<cfif len(wz)>
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AND m.clientid like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
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</cfif>
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group by m.clientid, vdc.name, storage_profile_types.name
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order by m.clientid, vdc.name, storage_profile_types.name;
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</cfquery>
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<cfoutput>qStorage:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfif isDefined("DEBUG")>
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<cfdump var=#qStorage#/>
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<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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</cfif>
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<cfquery name="qStorageAge" datasource="billing-vc" cachedWithin=#createTimeSpan(0, 0, 27, 0)#>
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select max(capacity_storage.timestamp) as dt_load from ngcloud_ru.capacity_storage
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</cfquery>
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<cfoutput>qStorageAge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<!---
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"placement" "size_gb" "get_10k" "put_10k" "bytes_sent_gb"
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HOT_FREE_LIMIT 1 10 1 100
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--->
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<!--- надо дисконтировать не ГБ-часы а ГБ-месяцы --->
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<cfquery name="qS3Vol" datasource="billing-s3" cachedWithin=#createTimeSpan(0, 0, 29, 0)#>
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select /* *** ниже дублирование кода агрегации - round ceil etc, обратить внимание при правке */
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(sum(bucket_stat.usage_rgw_main_size_actual)/<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/>) as vol_B
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,sum(bucket_stat.usage_rgw_main_size_actual)/<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/>/1024/1024/1024 as vol_GB
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,case
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when bucket_stat.placement_id = 1 then 'paas.s3.ceph'
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when bucket_stat.placement_id = 2 then 'paas.s3.cphc'
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else '['|| TO_CHAR(bucket_stat.placement_id,'FM9') ||']' end as code
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,bucket_stat.placement_id
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,'WZ'||lpad(bucket_stat.owner, 5, '0') as wz -- *** здесь не число, а строка, поэтому другая формула обратной сборки WZ
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,bucket_info.name as bucket
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from s3billing.bucket_stat
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join s3billing.placement ON s3billing.placement.id=bucket_stat.placement_id
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join s3billing.bucket_info ON bucket_info.id=bucket_stat.bucket_id
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where bucket_stat.placement_id in (1,2)
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AND bucket_stat.timestamp_addition >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND bucket_stat.timestamp_addition < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dateAdd("d",1,dt_finish)#/>
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<cfif len(wz)>
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AND 'WZ'||lpad(bucket_stat.owner, 5, '0') like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/> /*выглядит очень неэффективным запросом*/
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</cfif>
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group by bucket_stat.owner, bucket_stat.placement_id, bucket_info.name
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order by bucket_stat.owner, bucket_stat.placement_id, bucket_info.name;
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</cfquery>
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<cfoutput>qS3Vol:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfif isDefined("DEBUG")>
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<cfdump var=#qS3Vol#/>
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<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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</cfif>
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<cfquery name="qS3VolAge" datasource="billing-s3" cachedWithin=#createTimeSpan(0, 0, 29, 0)#>
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select max(timestamp_addition) as dt_load from s3billing.bucket_stat
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</cfquery>
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<cfoutput>qS3VolAge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
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<cfquery name="qS3OpsTrf" datasource="billing-s3" cachedWithin=#createTimeSpan(0, 0, 30, 0)#>
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select
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sum(
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CASE WHEN
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(category.name LIKE 'get%'
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OR category.name LIKE 'head%'
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OR category.name LIKE 'options%'
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) THEN ops ELSE 0 END
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) as get
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,(sum(
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CASE WHEN
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(category.name LIKE 'get%'
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OR category.name LIKE 'head%'
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OR category.name LIKE 'options%'
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) THEN ops ELSE 0 END
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)/10000) as get_10k
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,sum(
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CASE WHEN
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(category.name LIKE 'put%'
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OR category.name LIKE 'post%'
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OR category.name LIKE 'patch%'
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OR category.name LIKE 'list%'
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) THEN ops ELSE 0 END
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) as put
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,(sum(
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CASE WHEN
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(category.name LIKE 'put%'
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OR category.name LIKE 'post%'
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OR category.name LIKE 'patch%'
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OR category.name LIKE 'list%'
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) THEN ops ELSE 0 END
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)/10000) as put_10k
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,(sum(bytes_sent)) as bytes_sent
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,(sum(bytes_sent)/1024/1024/1024) as bytes_sent_GB
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,case
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when bucket_info.placement_id = 1 then 'paas.s3.ceph'
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when bucket_info.placement_id = 2 then 'paas.s3.cphc'
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else '['|| TO_CHAR(bucket_info.placement_id,'FM9') ||']' end as code --*** зачем делать там ключ bigint
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,bucket_info.placement_id
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--category.name
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, bucket_info.name as bucket
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,'WZ'||lpad(user_info.name, 5, '0') as wz
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from s3billing.usage_bucket_by_user
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join s3billing.user_info on usage_bucket_by_user.user_id=user_info.id
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join s3billing.category on usage_bucket_by_user.category_id=category.id
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join s3billing.bucket_info on usage_bucket_by_user.bucketid=bucket_info.id
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join s3billing.placement on bucket_info.placement_id=placement.id
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where 1=1
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AND usage_bucket_by_user.time >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
|
||
AND usage_bucket_by_user.time < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dateAdd("d",1,dt_finish)#/>
|
||
<cfif len(wz)>
|
||
AND 'WZ'||lpad(user_info.name, 5, '0') like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/> /*выглядит очень неэффективным запросом*/
|
||
</cfif>
|
||
group by user_info.name, bucket_info.placement_id, bucket_info.name
|
||
order by user_info.name, bucket_info.placement_id, bucket_info.name;
|
||
</cfquery>
|
||
|
||
<cfoutput>qS3OpsTrf:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
|
||
<cfif isDefined("DEBUG")>
|
||
<cfdump var=#qS3OpsTrf#/>
|
||
<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
</cfif>
|
||
|
||
<cfquery name="qS3OpsTrfAge" datasource="billing-s3" cachedWithin=#createTimeSpan(0, 0, 30, 0)#>
|
||
select max(time) as dt_load from s3billing.usage_bucket_by_user
|
||
</cfquery>
|
||
|
||
<cfoutput>qS3OpsTrfAge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
|
||
|
||
|
||
<!--- выданы права на схему и таблицы, чтобы без толку не плодить источники данных --->
|
||
<!--- считаются часы работы ВМ с GPU --->
|
||
<cfquery name="qGpu" datasource="billing-vc" cachedWithin=#createTimeSpan(0, 0, 31, 0)#>
|
||
WITH card (model, cluster, code) as (VALUES
|
||
('A100', 'msk1-pub02-i31', 'iaas.ngc.i31.gpu80'),
|
||
('H100', 'msk1-pub07-a40', 'iaas.ngc.a40.gpuh100'), -- h200 нет в отчете
|
||
('RTX 4090', 'msk1-pcs05-a45', 'iaas.ngc.a45.gpu4090'), -- нет такого в каталоге
|
||
('RTX 5090', 'msk1-pcs05-a45', 'iaas.ngc.a45.gpu5090'),
|
||
('RTX 6000', 'msk1-pub07-a40', 'iaas.ngc.a40.gpu6k'),
|
||
('nvidia_a16-16q', 'msk1-pub07-a40', 'iaas.ngc.a40.gpu16'),
|
||
('nvidia_a16-16q', 'msk1-pub01-i29', 'iaas.ngc.i29.gpu16'),
|
||
('nvidia_a16-1b', 'msk1-pub07-a40', 'iaas.ngc.a40.gpu1'),
|
||
('nvidia_a16-2q', 'msk1-pub07-a40', 'iaas.ngc.a40.gpu2'),
|
||
('nvidia_a16-4q', 'msk1-pub07-a40', 'iaas.ngc.a40.gpu4'),
|
||
('nvidia_rtx_pro_6000_blackwell_dc-4q', 'msk1-pub07-a40', 'iaas.ngc.a40.gpu6k4')
|
||
)
|
||
SELECT item.key AS gpu_model, c.code
|
||
,SUM(item.value::int*p.value)/12. AS gpu_h -- 5 minute sampling
|
||
,vm.obj_id, upper(trim(vm.client_id)) as WZ
|
||
FROM gpu.vm
|
||
CROSS JOIN LATERAL jsonb_each(vm.gpu) AS item(key, value)
|
||
LEFT OUTER JOIN card c ON (item.key=c.model)
|
||
JOIN gpu.vm_power_state p ON (vm.obj_uuid=p.obj_uuid)
|
||
WHERE NOT vm.is_template
|
||
AND p.ts >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
|
||
AND p.ts < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dateAdd("d",1,dt_finish)#/>
|
||
GROUP BY vm.client_id, item.key, c.code, vm.obj_id
|
||
ORDER BY vm.client_id, item.key, c.code, vm.obj_id;
|
||
</cfquery>
|
||
|
||
<cfoutput>qGpu:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
|
||
<cfif isDefined("DEBUG")>
|
||
<cfdump var=#qGpu#/>
|
||
<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
</cfif>
|
||
|
||
<cfquery name="qGpuAge" datasource="billing-vc" cachedWithin=#createTimeSpan(0, 0, 31, 0)#>
|
||
select max(dt_load) as dt_load from gpu.vm
|
||
</cfquery>
|
||
|
||
<cfoutput>qGpuAge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
|
||
|
||
|
||
|
||
|
||
<cfquery name="qUnifiedMetric" dbType="query">
|
||
select wz, code || '.vcpu' as code, core_h as raw_metric, core_h as metric, 'core-h' as unit, vdc as dimension1
|
||
from qComputing
|
||
<cfif len(code)>
|
||
where code || '.vcpu' like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code || '.ram', gb_h as raw_metric, gb_h as metric, 'GByte-h' as unit, vdc as dimension1
|
||
from qComputing
|
||
<cfif len(code)>
|
||
where code || '.ram' like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code, gb_m_used as raw_metric, gb_m_used as metric, 'GByte-m' as unit, vdc ||':'|| profile as dimension1
|
||
from qStorage
|
||
<cfif len(code)>
|
||
where code like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code || '.vol', vol_b as raw_metric, vol_gb as metric, 'GByte-m' as unit, bucket as dimension1
|
||
from qS3Vol
|
||
<cfif len(code)>
|
||
where code || '.vol' like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code || '.get', get as raw_metric, get_10k as metric, '10k' as unit, bucket as dimension1
|
||
from qS3OpsTrf
|
||
<cfif len(code)>
|
||
where code || '.get' like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code || '.put', put as raw_metric, put_10k as metric, '10k' as unit, bucket as dimension1
|
||
from qS3OpsTrf
|
||
<cfif len(code)>
|
||
where code || '.put' like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code || '.trf', bytes_sent as raw_metric, bytes_sent_gb as metric, 'GByte' as unit, bucket as dimension1
|
||
from qS3OpsTrf
|
||
<cfif len(code)>
|
||
where code || '.trf' like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
union all
|
||
select wz, code, gpu_h as raw_metric, gpu_h as metric, 'h' as unit, obj_id as dimension1
|
||
from qGpu
|
||
<cfif len(code)>
|
||
where code like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#code#%"/>
|
||
</cfif>
|
||
|
||
order by wz, code
|
||
</cfquery>
|
||
<!--- <cfdump var=#qSpec#/>
|
||
<cfdump var=#qUnifiedMetric#/> --->
|
||
|
||
<cfoutput>qUnifiedMetric:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
|
||
<cfif isDefined("DEBUG")>
|
||
<cfdump var=#qUnifiedMetric#/>
|
||
<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
</cfif>
|
||
|
||
|
||
<!--- загружаем рекордсеты в inmemory db, вместо чтобы мучиться с QoQ --->
|
||
<cfset db = new MemoryDbHelper()/>
|
||
<cfset db.register("qUnifiedMetric", qUnifiedMetric, "inmem")/>
|
||
<cfset db.register("qContragent", qContragent, "inmem")/>
|
||
<cfset db.register("qSpec", qSpec, "inmem")/>
|
||
|
||
<!--- Сопоставляем спецификации с метриками
|
||
В спецификации у нас есть контрагент (WZ) - это могут быть многие спецификации из многих договоров
|
||
проследить за версионностью спецификаций. в payg-report мы делаем отчет по дням, и для каждого дня проверяем актуальность спецификации для него
|
||
в метрике у нас только WZ контрагента (потому что нет объекта биллинга и даже контракта) и расшифрованный код без суффикса типа тарификации (который относится у нас не к продукту, а к цене)
|
||
FULL JOIN, потому что нам нужны бесхозные записи с той и другой стороны
|
||
При этом важно именно как мы обрабатываем бесхозные записи с каждой стороны
|
||
Они образуются за счет несовпадения кодов (нет в договоре - метрика есть, строчки нет. в том числе, если в договоре неправильный артикул)
|
||
Частичное совпадение кодов: есть фикс на тот же артикул. Показываем, но учитываем с нулевой ценой (потому что цена на фикс на другие единицы измерения, на месяц)
|
||
Отдельный вопрос: как мы обрабатываем Fixed PAYG и что с ним придумать
|
||
Контрагента со спекой нельзя INNER JOIN - есть вариант WZ с метрикой, но без спеки. В порядке ошибки может быть метрика без спеки и контрагента (orphan WZ). Либо осознанно записали вместо WZ что-то по своему усмотрению, благо там текстовое поле
|
||
Но нас тут совершенно не интересуют контрагенты без спек и метрик
|
||
Группировка: по контрагенту,
|
||
|
||
--->
|
||
|
||
<cfquery name="qCharge" datasource="inmem">
|
||
/*EXPLAIN PLAN FOR*/
|
||
SELECT
|
||
<d:field_set titleMapOut="titleMap" lengthOut="fieldCount">
|
||
<d:field title="WZ">coalesce(coalesce(c.wz, m.wz), s.wz) as wz</d:field>
|
||
<d:field title="WZ spec">s.wz as wzs</d:field>
|
||
<d:field title="WZ contragent">c.wz as wzc</d:field>
|
||
<d:field title="WZ metric">m.wz as wzm</d:field>
|
||
<d:field title="WZ конечника">s.end_customer_wz as wze</d:field>
|
||
<d:field title="Артикул">coalesce(s.sku_code, m.code) as code</d:field>
|
||
<d:field title="Артикул по специф.">s.code as s_code</d:field><!--- содержит суффикс типа тарификации --->
|
||
<d:field title="SKU code по специф.">s.sku_code as sku_code</d:field><!--- без суффикса --->
|
||
<d:field title="Артикул по метрикам">m.code as m_code</d:field><!--- без суффикса --->
|
||
<d:field title="Кол-во компонента по спец." cfSqlType="CF_SQL_NUMERIC">s.component_quantity</d:field>
|
||
<d:field title="Кол-во сервиса по спец." cfSqlType="CF_SQL_NUMERIC">s.service_quantity</d:field>
|
||
<d:field title="Скидка на сервис" cfSqlType="CF_SQL_NUMERIC">s.service_discount</d:field>
|
||
<d:field title="Free Tier" cfSqlType="CF_SQL_NUMERIC">coalesce(s.free_tier,0) as free_tier</d:field>
|
||
<d:field>m.dimension1</d:field>
|
||
<d:field title="Тип по спец.">s.type</d:field>
|
||
<d:field title="Ед.изм.">m.unit</d:field>
|
||
<d:field title="Ед.изм.">s.ed_izm</d:field>
|
||
<d:field title="Цена &##8381; с НДС" cfSqlType="CF_SQL_NUMERIC">coalesce(s.service_quantity*(100.-s.service_discount)/100.*s.price*(100.-s.component_discount)/100., 0.) as discounted_price</d:field>
|
||
<d:field title="Дата НОУ" cfSqlType="CF_SQL_TIMESTAMP">s.serviceStart</d:field>
|
||
<d:field title="Дата оконч." cfSqlType="CF_SQL_TIMESTAMP">s.serviceEnd</d:field>
|
||
<d:field title="Ключ строки">s.line_key</d:field>
|
||
<d:field title="Цена с НДС" cfSqlType="CF_SQL_NUMERIC">s.price</d:field>
|
||
<d:field title="Скидка % на компонент" cfSqlType="CF_SQL_NUMERIC">s.component_discount</d:field>
|
||
<d:field title="Сырая метрика" cfSqlType="CF_SQL_NUMERIC">m.raw_metric</d:field>
|
||
<d:field title="Приведенная метрика" cfSqlType="CF_SQL_NUMERIC">m.metric</d:field>
|
||
|
||
<d:field title="Контрагент">c.contragent</d:field>
|
||
<d:field title="contragent_uid">c.contragent_uid</d:field>
|
||
<d:field title="Ответственный">c.responsible</d:field>
|
||
<d:field title="Email отв-го">c.responsible_email</d:field>
|
||
<d:field title="Статус отв-го">c.responsible_status</d:field>
|
||
<d:field title="Договор">s.contract</d:field>
|
||
<d:field title="contract_uid">s.contract_uid</d:field>
|
||
<d:field title="Допник">s.additional_agreement</d:field>
|
||
<d:field title="additional_agreement_uid">s.additional_agreement_uid</d:field>
|
||
<d:field title="Сделка">s.deal</d:field>
|
||
<d:field title="deal_uid">s.deal_uid</d:field>
|
||
<d:field title="Абстрактная услуга">s.abstract_service</d:field>
|
||
<d:field title="Модификатор">s.modifier</d:field>
|
||
<d:field title="Компонент">s.component</d:field>
|
||
<d:field title="Клиентс. назв.">s.user_description</d:field>
|
||
<d:field title="Pricing Model">CASE s.type WHEN 1 THEN 'install' WHEN 2 THEN 'fix' WHEN 3 THEN 'payg' ELSE NULL END as pricing_model</d:field>
|
||
</d:field_set>
|
||
FROM qUnifiedMetric m
|
||
FULL JOIN qSpec s ON (m.wz=s.wz AND m.code=s.sku_code) -- сервис или компонент, но не цена с типом тарификации, суффикс типа тарификации отрезан
|
||
LEFT JOIN qContragent c ON ((coalesce(s.wz,m.wz))=(c.wz)) -- пробелы в составе WZ стоили нескольких часов работы
|
||
--(поскольку trim слева в джойне катастрофически замедляет работу, делаем чистку выше при формировании исходных резалтсетов)
|
||
WHERE 1=1
|
||
<cfif only_articles_in_spec>
|
||
AND EXISTS(select * from qSpec qs where qs.wz=m.wz AND qs.type=3)
|
||
<!--- вообще-то есть смысл добавить и все строки, где что-то намеряли --->
|
||
</cfif>
|
||
<cfif len(wz)>
|
||
AND (
|
||
m.wz like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
|
||
OR s.wz like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
|
||
OR c.wz like <cfqueryparam cfsqltype="cf_sql_varchar" value="%#wz#%"/>
|
||
)
|
||
<!--- вообще-то есть смысл добавить и все строки, где что-то намеряли --->
|
||
</cfif>
|
||
--AND s.wz='WZ01031'
|
||
--AND s.wz='WZ01762
|
||
<!---
|
||
AND 1=0
|
||
--->
|
||
ORDER BY coalesce(coalesce(c.wz, m.wz), s.wz), coalesce(s.code, m.code)
|
||
</cfquery>
|
||
<!--- <cfdump var=#qCharge#/> --->
|
||
|
||
<cfoutput>qCharge:#getTickCount()-request.startTickCount#</cfoutput><cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
<cfif isDefined("DEBUG")>
|
||
<cfdump var=#qCharge#/>
|
||
<cfif !isDefined("output_xls") AND !isDefined("output_json")><cfflush/></cfif>
|
||
</cfif>
|
||
|
||
|
||
<cfif isDefined("output_xls")>
|
||
<layout:xml qRead=#qCharge# titleMap=#titleMap# filename="#pageInfo.entity#.xml"/>
|
||
<cfabort/>
|
||
</cfif><cfif isDefined("output_json")>
|
||
<layout:json qRead=#qCharge# titleMap=#titleMap# filename="#pageInfo.entity#.json"/>
|
||
<cfabort/>
|
||
</cfif><!---
|
||
---><layout:page section="header" pageInfo=#pageInfo#>
|
||
|
||
<layout:attribute name="title">
|
||
<cfoutput><b>Отчет по PAYG</b></cfoutput>
|
||
</layout:attribute>
|
||
<layout:attribute name="controls">
|
||
<!---skip filter link, filter is not implemented--->
|
||
<!---<layout:language_switch/>--->
|
||
</layout:attribute>
|
||
</layout:page>
|
||
|
||
Факт потребления по основной базе биллинга, спецификации из DWH. Без детализации по бакетам, VDC и т.д.
|
||
Все запросы кэшированы на 25 минут.<br/>
|
||
Внимание! округление вверх при расчете метрик get, put S3. Расчетные суммы могут содержать погрешности округления, поэтому окончательный расчет стоимости (количество * цену) должен выполняться в бухгалтерской программе.
|
||
<b>Если у клиента больше 1 действующего допника с услугами PAYG, то данные в отчете могут быть замножены, в этом случае считать вручную</b>
|
||
<br/>
|
||
Даты актуальности пока проверять вручную. Обращать внимание на замножение строк.
|
||
<cfoutput>
|
||
<form method="post" action="">
|
||
Период с <input type="text" name="dt_start" value="#dateFormat(dt_start,'YYYY-MM-DD')#"/>
|
||
по <input type="text" name="dt_finish" value="#dateFormat(dt_finish,'YYYY-MM-DD')#"/>
|
||
Только PAYG <input type="checkbox" name="only_articles_in_spec" value="1"<cfif only_articles_in_spec> checked</cfif>/>
|
||
WZ <input type="text" name="wz" value="#wz#"/>по вхождению, с регистром
|
||
Код <input type="text" name="code" value="#code#"/>по вхождению
|
||
<input type="submit" style="cursor:pointer;"/>
|
||
<input type="submit" name="DEBUG" value="DEBUG" style="cursor:pointer;"/><!--- #dateFormat( input, "yyyy-mm-dd" )#T#timeFormat( input, "HH:mm:ss.lXX" )# --->
|
||
</form>
|
||
Часов в периоде: <b>#hours#</b> Строк в отчете: <b>#qCharge.recordCount#</b><br/>
|
||
Актуальность данных:
|
||
VCD Computing: <b<cfif datediff("h",qComputingAge.dt_load, Now()) GT 24> class="err"</cfif>>>#dateFormat(qComputingAge.dt_load,'YYYY-MM-DD')# #timeFormat(qComputingAge.dt_load,'HH:mm:ss.lXX')#</b>
|
||
VCD Storage: <b<cfif datediff("h",qStorageAge.dt_load, Now()) GT 24> class="err"</cfif>>>#dateFormat(qStorageAge.dt_load,'YYYY-MM-DD')# #timeFormat(qStorageAge.dt_load,'HH:mm:ss.lXX')#</b>
|
||
S3 хранение: <b<cfif datediff("h",qS3VolAge.dt_load, Now()) GT 24> class="err"</cfif>>>#dateFormat(qS3VolAge.dt_load,'YYYY-MM-DD')# #timeFormat(qS3VolAge.dt_load,'HH:mm:ss.lXX')#</b>
|
||
S3 операции и трафик: <b<cfif datediff("h",qS3OpsTrfAge.dt_load, Now()) GT 24> class="err"</cfif>>>#dateFormat(qS3OpsTrfAge.dt_load,'YYYY-MM-DD')# #timeFormat(qS3OpsTrfAge.dt_load,'HH:mm:ss.lXX')#</b>
|
||
|
||
<br/>
|
||
<a href="#request.thisPage#?output_xls" title="экспорт в Excel" style="margin-left:.5em; height:100%;" target="_blank"><img src="img/xls.gif" style="vertical-align:text-bottom;"/></a>
|
||
|
||
<a href="#request.thisPage#?output_json" title="экспорт в json" style="margin-left:.5em; height:100%;" target="_blank"><img src="img/json.svg" style="vertical-align:text-bottom;" width="13" height="13"/></a>
|
||
</cfoutput>
|
||
<table class="worktable">
|
||
<thead>
|
||
<td width="1%"></td>
|
||
<!--- <th width="3%">WZ</th> --->
|
||
<th width="7%">Услуга</th>
|
||
<th width="7%">Артикул специф.</th>
|
||
<th width="5%">Кол-во специф.</th>
|
||
<th width="5%">Артикул метр.</th>
|
||
<th width="10%">Детализация</th>
|
||
<th width="5%">Кол-во метр.</th>
|
||
<th width="5%">Free Tier.</th>
|
||
<th width="5%">Опл. объем</th>
|
||
<th width="3%">Ед.изм.</th>
|
||
<th width="3%">Цена ₽ со скид., с НДС</th>
|
||
<th width="3%">Стоимость ₽ с НДС</th>
|
||
|
||
<td width="3%"> </td>
|
||
|
||
<td width="10%">Компонент</td>
|
||
<td width="15%">Польз. наим.</td>
|
||
|
||
<td width="3%">GPL с НДС</td>
|
||
<td width="3%">Скидка%</td>
|
||
|
||
<td width="3%">Дата НОУ</td>
|
||
<td width="3%">Дата КОУ</td>
|
||
|
||
<td width="5%">Ключ строки</td>
|
||
<td width="3%">Сырая метрика</td>
|
||
<td width="3%">Приведен­ная метрика</td>
|
||
|
||
<td width="3%">Цена ₽ до ск. с НДС</td>
|
||
<td width="3%">Цена ₽ co ск. с НДС без окр.</td>
|
||
<td width="3%">Service Quantity</td>
|
||
<td width="3%">Service Discount</td>
|
||
<td width="3%">Component Quantity</td>
|
||
<td width="3%">Component Discount</td>
|
||
|
||
<td width="5%">Договор</td>
|
||
<td width="10%">Допник</td>
|
||
<td width="10%">Сделка</td>
|
||
<td width="3%">Конечник</td>
|
||
|
||
</thead>
|
||
|
||
<cfoutput query="qCharge" group="wz">
|
||
|
||
<cfset var accum_cost_svc = 0/>
|
||
<cfset var accum_metric_svc = 0/>
|
||
<cfset var acc=0/>
|
||
<tr>
|
||
<td bgcolor="##ccc"></td>
|
||
<td bgcolor="##ccc" colspan="99">
|
||
<b>
|
||
<a href="contragent.cfm?__id=#contragent_uid#&#tr.fwx#">#wz#</a>
|
||
#contragent#
|
||
<a href="contragent_rpt.cfm?__id=#contragent_uid#&#tr.fwx#">(сводка)</a>
|
||
</b>
|
||
ответственный:
|
||
<span <cfif responsible_status NEQ 2> class="err"</cfif>>#responsible# <a href="mailto:#responsible_email#">#responsible_email#</a></span>
|
||
</td>
|
||
|
||
</tr>
|
||
<cfoutput group="code">
|
||
<cfoutput group="serviceStart">
|
||
|
||
<cfset accum_metric_svc += isNumeric(metric) ? metric : 0/>
|
||
<cfset accum_metric_dimension_1 = 0/>
|
||
<cfset current_price=0/>
|
||
|
||
<cfoutput><!--- dimensions --->
|
||
|
||
<cfif type EQ 3>
|
||
<cfset accum_metric_dimension_1 += isNumeric(metric) ? metric : 0/>
|
||
<cfset current_price=gaussianRound(discounted_price, 2)/>
|
||
</cfif>
|
||
<!--- детализация --->
|
||
<tr<cfif !len(unit)> class="gray"</cfif>>
|
||
<td>#currentRow#</a></td>
|
||
<td>#abstract_service#<cfif len(modifier)>: #modifier#</cfif></a></td>
|
||
<td><div<cfif type EQ 3> style="background:lightgreen;color:black;"</cfif>>#s_code#</div></td>
|
||
<td class=<cfif type EQ 3 AND component_quantity NEQ 1>"err r"<cfelse>"r"</cfif>>#component_quantity#</td>
|
||
<td>#m_code#</td>
|
||
<td>#dimension1#</td>
|
||
<td class="r" style="font-size:110%; padding:0 1em;">#request.roundSafe(metric,3)#</td>
|
||
<td class="r">#free_tier#</td>
|
||
<td></td>
|
||
<td style="font-size:90%;">#unit# <cfif len(ed_izm)>[#ed_izm#]</cfif></td><!--- #len(unit)?unit:'['& ed_izm &']'# --->
|
||
<td class="r">#gaussianRound(discounted_price,2)#</td>
|
||
<td class="r"></td>
|
||
|
||
<td></td>
|
||
|
||
<td>#component#</td>
|
||
<td>#user_description#</td>
|
||
|
||
<td class="r">#gaussianRoundSafe(price,2)#</td>
|
||
<td class="r">#component_discount#</td>
|
||
|
||
<td class="r">#dateFormat(serviceStart,'YYYY-MM-DD')#</td>
|
||
<td class="r">#dateFormat(serviceEnd,'YYYY-MM-DD')#</td>
|
||
|
||
<td class="r">#line_key#</td>
|
||
<td class="r" style="color:##bbb">#request.roundSafe(raw_metric,3)#</td>
|
||
<td class="r">#request.roundSafe(metric,3)#</td>
|
||
|
||
<!--- сырые исходные данные без округлений --->
|
||
<td class="r">#price#</td>
|
||
<td class="r">#discounted_price#</td><!--- style="word-wrap:break-word" --->
|
||
<td class="r">#service_quantity#</td>
|
||
<td class="r">#service_discount#</td>
|
||
<td class="r">#component_quantity#</td>
|
||
<td class="r">#component_discount#</td>
|
||
|
||
<td><a href="contract.cfm?__id=#contract_uid#&#tr.fwx#">#contract#</a></td>
|
||
<td><a href="additional_agreement.cfm?__id=#additional_agreement_uid#&#tr.fwx#">#additional_agreement#</a></td>
|
||
<td><a href="deal.cfm?__id=#deal_uid#&#tr.fwx#">#deal#</a></td>
|
||
<td>#WZE#</td>
|
||
</tr>
|
||
</cfoutput>
|
||
<cfset final_metric_dimension_1 = ceiling(accum_metric_dimension_1)/>
|
||
<cfset cost_dimension_1 = precisionEvaluate("gaussianRound(max(final_metric_dimension_1 - free_tier, 0)*current_price, 2)")/>
|
||
<cfset accum_cost_svc = precisionEvaluate("accum_cost_svc + cost_dimension_1")/><!--- простое сложение дает ошибку округления и лишние знаки, но и precisionEvaluate не выглядит слишком надежным --->
|
||
<tr>
|
||
<td colspan="4"></td>
|
||
<td colspan="2" class="b r">Итого #code#:</td>
|
||
<td class="b r" style="font-size:110%; padding:0 1em;"><cfif final_metric_dimension_1 NEQ 0 AND isNumeric(final_metric_dimension_1)>#round(final_metric_dimension_1,3)#</cfif></td>
|
||
<td class="b r">#free_tier#</td>
|
||
<td class="b r" style="font-size:120%; padding:0 1em;"><cfif final_metric_dimension_1 NEQ 0 AND isNumeric(final_metric_dimension_1)>#max(ceiling(final_metric_dimension_1) - free_tier, 0)#</cfif></td>
|
||
<td class="b c">#unit# <cfif len(ed_izm)>[#ed_izm#]</cfif></td>
|
||
<td class="b r">#current_price#</td>
|
||
<td class="b r">#gaussianRoundSafe(cost_dimension_1,2)#</td>
|
||
<td></td>
|
||
<td colspan="100"></td>
|
||
</tr>
|
||
</cfoutput><!--- serviceStart --->
|
||
</cfoutput><!--- code --->
|
||
|
||
<tr>
|
||
<td bgcolor="##eee" style="border-bottom:2px solid gray;"></td>
|
||
<td bgcolor="##eee" colspan="10" class="r b" style="border-bottom:2px solid gray;">Итого <a href="contragent.cfm?__id=#contragent_uid#&#tr.fwx#">#wz#</a> #contragent#:</td>
|
||
<td bgcolor="##eee" class="r b nw" style="border-bottom:2px solid gray; font-size:130%;">#accum_cost_svc#</td>
|
||
<td bgcolor="##eee" style="border-bottom:2px solid gray;"></td>
|
||
<td bgcolor="##eee" colspan="99" style="border-bottom:2px solid gray;"></td>
|
||
</tr >
|
||
</cfoutput><!--- wz --->
|
||
|
||
</table>
|
||
<!--- <cfdump var=#qCharge#/> --->
|
||
|
||
<cfdump var=#this.datasources[request.ds].connectionString#/>
|
||
<cfdump var=#this.datasources["billing-vc"].connectionString#/>
|
||
<cfdump var=#this.datasources["billing-s3"].connectionString#/>
|
||
|
||
<layout:page section="footer"/>
|
||
|
||
<!--- select * from s3billing.billing_per_user_fix_pl('2025-05-01 00:00:00','2025-06-01 00:00:00','1395'); --->
|
||
|
||
<!--- select t.id as tenant_id,
|
||
from ngcloud_ru.tenant t
|
||
left outer join
|
||
(select tenant_id, ts, metadata_id,
|
||
ROW_NUMBER() OVER (PARTITION BY tenant_id ORDER BY ts desc, metadata_id desc)
|
||
as rn
|
||
from ngcloud_ru.tenant_metadata) tm
|
||
on (t.id = tm.tenant_id AND tm.rn = 1)
|
||
left outer join ngcloud_ru.metadata m on (tm.metadata_id=m.id) --->
|
||
<cfscript>
|
||
string function gaussianRoundSafe(any num, numeric precision = 0, string default="") {
|
||
return (isNumeric(arguments.num)) ? gaussianRound(arguments.num, arguments.precision) : arguments.default;
|
||
}
|
||
|
||
function gaussianRound(numeric number, numeric precision = 0) {
|
||
var factor = 10 ^ precision;
|
||
var scaledNumber = number * factor;
|
||
var absScaled = abs(scaledNumber);
|
||
var sign = sgn(scaledNumber);
|
||
var floored = int(absScaled);
|
||
|
||
// If it's not ending in exactly .5, use standard rounding or precision scaling
|
||
if (absScaled - floored != 0.5) {
|
||
return round(number * factor) / factor;
|
||
}
|
||
|
||
// If it is exactly .5, round towards the nearest even number
|
||
if (floored % 2 != 0) {
|
||
// Nearest even is UP
|
||
return (floored + 1) * sign / factor;
|
||
} else {
|
||
// Nearest even is DOWN
|
||
return floored * sign / factor;
|
||
}
|
||
}
|
||
</cfscript> |