feat(datamart): psi data has been added :D

This commit is contained in:
2026-04-15 07:29:35 -05:00
parent 52a6c821f4
commit e0d0ac2077
22 changed files with 4153 additions and 51 deletions

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@@ -1,6 +1,6 @@
use AlplaPROD_test1
SELECT V_Artikel.IdArtikelvarianten,
SELECT V_Artikel.IdArtikelvarianten as article,
V_Artikel.Bezeichnung,
V_Artikel.ArtikelvariantenTypBez,
V_Artikel.PreisEinheitBez,

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/**
This will be replacing activeArticles once all data is remapped into this query.
make a note in the docs this activeArticles will go stale sooner or later.
**/
use [test1_AlplaPROD2.0_Read]
select a.Id,
a.HumanReadableId as av,
a.Alias as alias,
p.LoadingUnitsPerTruck as loadingUnitsPerTruck,
p.LoadingUnitsPerTruck * p.LoadingUnitPieces as qtyPerTruck,
p.LoadingUnitPieces,
case when i.MinQuantity IS NOT NULL then round(cast(i.MinQuantity as float), 2) else 0 end as min,
case when i.MaxQuantity IS NOT NULL then round(cast(i.MaxQuantity as float),2) else 0 end as max
from masterData.Article (nolock) as a
/* sales price */
left join
(select *
from (select
id,
PackagingId,
ArticleId,
DefaultCustomer,
ROW_NUMBER() OVER (PARTITION BY ArticleId ORDER BY ValidAfter DESC) AS RowNum
from masterData.SalesPrice (nolock)
where DefaultCustomer = 1) as x
where RowNum = 1
) as s
on a.id = s.ArticleId
/* pkg instructions */
left join
masterData.PackagingInstruction (nolock) as p
on s.PackagingId = p.id
/* stock limits */
left join
masterData.StockLimit (nolock) as i
on a.id = i.ArticleId
where a.active = 1
and a.HumanReadableId in ([articles])

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SELECT format(RequirementDate, 'yyyy-MM-dd') as requirementDate
,ArticleHumanReadableId
,CustomerArticleNumber
,ArticleDescription
,Quantity
FROM [test1_AlplaPROD2.0_Read].[forecast].[Forecast]
where DeliveryAddressHumanReadableId in ([customers])
order by RequirementDate

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@@ -1,22 +1,32 @@
use [test1_AlplaPROD2.0_Read]
select
ArticleHumanReadableId as av
ArticleHumanReadableId as article
,ArticleAlias as alias
,round(sum(QuantityLoadingUnits),0) total_pallets
,round(sum(Quantity),0) as total_palletQTY
,round(sum(case when State = 0 then QuantityLoadingUnits else 0 end),0) avalible_Pallets
,round(sum(case when State = 0 then Quantity else 0 end),0) available_QTY
,sum(case when b.HumanReadableId = 864 then QuantityLoadingUnits else 0 end) as coa_Pallets
,sum(case when b.HumanReadableId = 864 then Quantity else 0 end) as coa_QTY
,sum(case when b.HumanReadableId <> 864 then QuantityLoadingUnits else 0 end) as held_Pallets
,sum(case when b.HumanReadableId <> 864 then Quantity else 0 end) as held_QTY
,round(sum(QuantityLoadingUnits),2) total_pallets
,round(sum(Quantity),2) as total_palletQTY
,round(sum(case when State = 0 then QuantityLoadingUnits else 0 end),2) available_Pallets
,round(sum(case when State = 0 then Quantity else 0 end),2) available_QTY
,round(sum(case when b.HumanReadableId = 864 then QuantityLoadingUnits else 0 end),2) as coa_Pallets
,round(sum(case when b.HumanReadableId = 864 then Quantity else 0 end),2) as coa_QTY
,round(sum(case when b.HumanReadableId <> 864 then QuantityLoadingUnits else 0 end),2) as held_Pallets
,round(sum(case when b.HumanReadableId <> 864 then Quantity else 0 end),2) as held_QTY
,round(sum(case when w.type = 7 then QuantityLoadingUnits else 0 end),2) as consignment_Pallets
,round(sum(case when w.type = 7 then Quantity else 0 end),2) as consignment_qty
--,l.RunningNumber
/** should be in line **/
--,l.MachineLocation,l.MachineName,l.ProductionLotRunningNumber
/** should be in line **/
/** datamart include lot number **/
--,l.MachineLocation,l.MachineName,l.ProductionLotRunningNumber as lot
/** data mart include location data **/
--,l.WarehouseDescription,l.LaneDescription
/** historical section **/
--,l.ProductionLotRunningNumber as lot,l.warehousehumanreadableid as warehouseId,l.WarehouseDescription as warehouseDescription,l.lanehumanreadableid as locationId,l.lanedescription as laneDescription
,articleTypeName
FROM [test1_AlplaPROD2.0_Read].[warehousing].[WarehouseUnit] as l
FROM [warehousing].[WarehouseUnit] as l (nolock)
left join
(
SELECT [Id]
@@ -24,21 +34,31 @@ SELECT [Id]
,d.[Description]
,[DefectGroupId]
,[IsActive]
FROM [test1_AlplaPROD2.0_Read].[blocking].[BlockingDefect] as g
FROM [blocking].[BlockingDefect] as g (nolock)
left join
[AlplaPROD_test1].dbo.[T_BlockingDefects] as d (nolock) on
d.IdGlobalBlockingDefect = g.HumanReadableId
) as b on
b.id = l.MainDefectId
left join
[warehousing].[warehouse] as w (nolock) on
w.id = l.warehouseid
where LaneHumanReadableId not in (20000,21000)
group by ArticleHumanReadableId,
ArticleAlias,
ArticleTypeName
--,l.RunningNumber
/** should be in line **/
/** datamart include lot number **/
--,l.MachineLocation,l.MachineName,l.ProductionLotRunningNumber
/** should be in line **/
/** data mart include location data **/
--,l.WarehouseDescription,l.LaneDescription
/** historical section **/
--,l.ProductionLotRunningNumber,l.warehousehumanreadableid,l.WarehouseDescription,l.lanehumanreadableid,l.lanedescription
order by ArticleHumanReadableId

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use [test1_AlplaPROD2.0_Reporting]
declare @startDate nvarchar(30) = '[startDate]' --'2024-12-30'
declare @endDate nvarchar(30) = '[endDate]' --'2025-08-09'
select MachineLocation,
ArticleHumanReadableId as article,
sum(Quantity) as Produced,
count(Quantity) as palletsProdued,
FORMAT(convert(date, ProductionDay), 'M/d/yyyy') as ProductionDay,
ProductionLotHumanReadableId as productionLot
from [reporting_productionControlling].[ScannedUnit] (nolock)
where convert(date, ProductionDay) between @startDate and @endDate
and ArticleHumanReadableId in ([articles])
and BookedOut is null
group by MachineLocation, ArticleHumanReadableId,ProductionDay, ProductionLotHumanReadableId

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use AlplaPROD_test1
/**
move this over to the delivery date range query once we have the shift data mapped over correctly.
update the psi stuff on this as well.
**/
declare @start_date nvarchar(30) = '[startDate]' --'2025-01-01'
declare @end_date nvarchar(30) = '[endDate]' --'2025-08-09'
select IdArtikelVarianten,
ArtikelVariantenBez,
sum(Menge) totalDelivered,
case when convert(time, upd_date) between '00:00' and '07:00' then convert(date, upd_date - 1) else convert(date, upd_date) end as ShippingDate
from dbo.V_LadePlanungenLadeAuftragAbruf (nolock)
where upd_date between CONVERT(datetime, @start_date + ' 7:00') and CONVERT(datetime, @end_date + ' 7:00')
and IdArtikelVarianten in ([articles])
group by IdArtikelVarianten, upd_date,
ArtikelVariantenBez

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use AlplaPROD_test1
declare @start_date nvarchar(30) = '[startDate]' --'2025-01-01'
declare @end_date nvarchar(30) = '[endDate]' --'2025-08-09'
/*
articles will need to be passed over as well as the date structure we want to see
*/
select x.IdArtikelvarianten As Article,
ProduktionAlias as Description,
standort as MachineId,
MaschinenBezeichnung as MachineName,
--MaschZyklus as PlanningCycleTime,
x.IdProdPlanung as LotNumber,
FORMAT(ProdTag, 'MM/dd/yyyy') as ProductionDay,
x.planMenge as TotalPlanned,
ProduktionMenge as QTYPerDay,
round(ProduktionMengeVPK, 2) PalDay,
Status as finished
--MaschStdAuslastung as nee
from dbo.V_ProdLosProduktionJeProdTag_PLANNING (nolock) as x
left join
dbo.V_ProdPlanung (nolock) as p on
x.IdProdPlanung = p.IdProdPlanung
where ProdTag between @start_date and @end_date
and p.IdArtikelvarianten in ([articles])
--and V_ProdLosProduktionJeProdTag_PLANNING.IdKunde = 10
--and IdProdPlanung = 18442
order by ProdTag desc

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select top(1) convert(varchar(8) ,
convert(time,startdate), 108) as shiftChange
from [test1_AlplaPROD2.0_Read].[masterData].[ShiftDefinition]
where teamNumber = 1