409 lines
12 KiB
SQL
409 lines
12 KiB
SQL
SET PATH *LIBL ;
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CREATE OR REPLACE FUNCTION RESTAPI.SFP_GET_OEE_DETAILS (
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IN_PARM CLOB(2147483647) )
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RETURNS CLOB(2147483647)
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LANGUAGE SQL
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SPECIFIC RESTAPI.SFP_GET_OEE_DETAILS
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NOT DETERMINISTIC
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MODIFIES SQL DATA
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CALLED ON NULL INPUT
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SET OPTION ALWBLK = *ALLREAD ,
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ALWCPYDTA = *OPTIMIZE ,
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COMMIT = *NONE ,
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DECRESULT = (31, 31, 00) ,
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DYNDFTCOL = *NO ,
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DYNUSRPRF = *USER ,
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SRTSEQ = *HEX
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BEGIN
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DECLARE ENV VARCHAR ( 20 ) DEFAULT '' ;
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DECLARE LL VARCHAR ( 1024 ) DEFAULT '' ;
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-- Error handling variables
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DECLARE V_SQLSTATE CHAR ( 5 ) DEFAULT '00000' ;
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DECLARE V_SQLCODE INTEGER DEFAULT 0 ;
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DECLARE V_ERRMSG VARCHAR ( 500 ) DEFAULT '' ;
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DECLARE V_HTTP_STATUS INTEGER DEFAULT 200 ;
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DECLARE V_HAS_ERROR INTEGER DEFAULT 0 ;
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-- Continue handlers for error capture
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DECLARE CONTINUE HANDLER FOR SQLSTATE '22007' -- Invalid datetime
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BEGIN
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SET V_SQLSTATE = '22007' ;
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GET DIAGNOSTICS CONDITION 1 V_ERRMSG = MESSAGE_TEXT ;
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SET V_HTTP_STATUS = 400 ;
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SET V_HAS_ERROR = 1 ;
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END ;
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DECLARE CONTINUE HANDLER FOR SQLSTATE '22003' -- Numeric out of range
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BEGIN
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SET V_SQLSTATE = '22003' ;
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GET DIAGNOSTICS CONDITION 1 V_ERRMSG = MESSAGE_TEXT ;
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SET V_HTTP_STATUS = 400 ;
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SET V_HAS_ERROR = 1 ;
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END ;
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DECLARE CONTINUE HANDLER FOR SQLSTATE '02000' -- No data found
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BEGIN
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SET V_SQLSTATE = '02000' ;
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SET V_ERRMSG = 'No data found for the specified criteria' ;
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SET V_HTTP_STATUS = 404 ;
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SET V_HAS_ERROR = 1 ;
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END ;
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DECLARE CONTINUE HANDLER FOR SQLSTATE '42501' -- Not authorized
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BEGIN
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SET V_SQLSTATE = '42501' ;
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GET DIAGNOSTICS CONDITION 1 V_ERRMSG = MESSAGE_TEXT ;
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SET V_HTTP_STATUS = 403 ;
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SET V_HAS_ERROR = 1 ;
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END ;
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DECLARE CONTINUE HANDLER FOR SQLSTATE '42704' -- Object not found
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BEGIN
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SET V_SQLSTATE = '42704' ;
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GET DIAGNOSTICS CONDITION 1 V_ERRMSG = MESSAGE_TEXT ;
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SET V_HTTP_STATUS = 404 ;
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SET V_HAS_ERROR = 1 ;
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END ;
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DECLARE CONTINUE HANDLER FOR SQLEXCEPTION
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BEGIN
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GET DIAGNOSTICS CONDITION 1
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V_SQLSTATE = RETURNED_SQLSTATE ,
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V_SQLCODE = DB2_RETURNED_SQLCODE , V_ERRMSG = MESSAGE_TEXT ;
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SET V_HTTP_STATUS = 500 ;
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SET V_HAS_ERROR = 1 ;
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END ;
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WHILE CISTOOLS . JSON_TYPE ( IN_PARM ) IN ( 'object' , 'array' , 'string' ) DOSET IN_PARM =
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CASE CISTOOLS . JSON_TYPE ( IN_PARM )
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WHEN 'object' THEN JSON_VALUE ( IN_PARM , '$.env' )
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WHEN 'array' THEN JSON_VALUE ( IN_PARM , '$[0]' )
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WHEN 'string' THEN REPLACE ( IN_PARM , '"' , '' )
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ELSE TRIM ( IN_PARM )
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END ;
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END WHILE ;
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SET ENV = IN_PARM ;
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SET LL = CISTOOLS . SET_LIBRARY_LIST ( ENV ) ;
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-- Validate environment was set
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IF ENV = ''
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OR ENV IS NULL THEN
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RETURN
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JSON_OBJECT (
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'error' : JSON_OBJECT (
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'http_status' : 400 , 'sqlstate' : '22001' ,
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'message' : 'Environment parameter is required'
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)
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) ;
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END IF ;
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-- Check for errors from library list setup
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IF V_HAS_ERROR = 1 THEN
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RETURN
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JSON_OBJECT (
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'error' : JSON_OBJECT (
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'http_status' : V_HTTP_STATUS , 'sqlstate' : V_SQLSTATE ,
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'message' : V_ERRMSG
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)
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) ;
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END IF ;
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RETURN
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WITH BOUNDS AS (
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SELECT CURRENT_DATE AS FOR_DATE , 1 AS WEEK_END_DOW ,
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2 AS WEEK_START_DOW ,
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ZONED ( CURRENT_DATE ) AS YYYYMMDD_FOR ,
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ZONED (
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LAST_DAY ( ADD_MONTHS ( CURRENT_DATE , - 1 ) ) + 1 DAY )
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AS YYYYMMDD_MONTH_FROM ,
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ZONED ( LAST_DAY ( CURRENT_DATE ) )
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AS YYYYMMDD_MONTH_THRU ,
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DAYOFWEEK ( CURRENT_DATE ) AS DOW_FOR
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FROM SYSIBM . SYSDUMMY1
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) ,
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WEEK_CALC AS (
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SELECT B . * ,
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MOD ( B . DOW_FOR - B . WEEK_START_DOW + 7 , 7 )
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AS DELTA_DAYS
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FROM BOUNDS B
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) ,
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RANGES AS (
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SELECT 'M' AS RANGE_TYPE ,
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( YYYYMMDD_MONTH_FROM - 19000000 ) AS FROM_CY ,
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( YYYYMMDD_MONTH_THRU - 19000000 ) AS THRU_CY
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FROM WEEK_CALC
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UNION ALL
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SELECT 'W' AS RANGE_TYPE ,
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( ( YEAR ( FOR_DATE - DELTA_DAYS DAYS ) * 10000 +
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MONTH ( FOR_DATE - DELTA_DAYS DAYS ) * 100 +
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DAY ( FOR_DATE - DELTA_DAYS DAYS ) ) - 19000000 )
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AS FROM_CY , ( YYYYMMDD_FOR - 19000000 ) AS THRU_CY
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FROM WEEK_CALC
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UNION ALL
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SELECT 'D' AS RANGE_TYPE ,
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( YYYYMMDD_FOR - 19000000 ) AS FROM_CY ,
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( YYYYMMDD_FOR - 19000000 ) AS THRU_CY
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FROM WEEK_CALC
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) ,
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-- Work center level data
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WC_DATA AS (
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SELECT R . RANGE_TYPE , TRIM ( P . KIGRP1 ) AS PLANT ,
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TRIM ( P . KIGRP2 ) AS DEPT , TRIM ( P . KIWKCTR ) AS WC ,
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SUM ( P . KIUP ) AS UP_SEC , SUM ( P . KISDWN ) AS SDWN_SEC ,
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SUM ( P . KIUDWN ) AS UDWN_SEC , SUM ( P . KIGAP ) AS GAP_SEC ,
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SUM ( P . KIUA ) AS UA_SEC , SUM ( P . KIRCVD ) AS GOOD_QTY ,
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SUM ( P . KISCRP ) AS BAD_QTY ,
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SUM ( P . KIEXPT ) AS TARGET_QTY ,
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SUM ( P . KIARUN ) AS ARUN_SEC ,
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SUM ( P . KIASET ) AS ASET_SEC ,
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SUM ( P . KIASDW ) AS ASDW_SEC , SUM ( P . KIAUDW ) AS AUDW_SEC
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FROM RANGES R
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JOIN SFCPERI P
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ON P . KIDATE BETWEEN R . FROM_CY AND R . THRU_CY
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GROUP BY R . RANGE_TYPE , P . KIGRP1 , P . KIGRP2 , P . KIWKCTR
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) ,
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-- Calculate metrics at WC level
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WC_CALC AS (
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SELECT RANGE_TYPE , PLANT , DEPT , WC , UP_SEC , SDWN_SEC ,
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UDWN_SEC , GAP_SEC , UA_SEC , GOOD_QTY , BAD_QTY ,
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TARGET_QTY , ARUN_SEC , ASET_SEC , ASDW_SEC , AUDW_SEC ,
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INT (
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( COALESCE (
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( DECFLOAT ( UP_SEC - UDWN_SEC - GAP_SEC ) /
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NULLIF ( DECFLOAT ( UP_SEC ) , 0 ) ) , 0 ) *
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COALESCE (
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( DECFLOAT ( GOOD_QTY + BAD_QTY ) /
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NULLIF ( DECFLOAT ( TARGET_QTY ) , 0 ) ) , 0 ) *
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COALESCE (
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( DECFLOAT ( GOOD_QTY ) /
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NULLIF ( DECFLOAT ( GOOD_QTY + BAD_QTY ) , 0 )
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) , 0 ) * 100 ) + 0.5 ) AS OEE_PCT ,
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DEC (
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DEC (
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UP_SEC + SDWN_SEC + UDWN_SEC + GAP_SEC , 31 ,
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10 ) / 3600 , 13 , 2 ) AS ELAPSED_HRS ,
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DEC (
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DEC (
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ARUN_SEC + ASET_SEC + ASDW_SEC + AUDW_SEC , 31 ,
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10 ) / 3600 , 13 , 2 ) AS APPLIED_HRS ,
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DEC ( DEC ( UP_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS TIME_UP_HRS ,
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DEC (
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DEC (
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SDWN_SEC + UDWN_SEC + GAP_SEC + UA_SEC , 31 ,
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10 ) / 3600 , 13 , 2 ) AS DOWN_TOTAL_HRS ,
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DEC ( DEC ( SDWN_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS SCHED_DOWN_HRS ,
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DEC ( DEC ( UDWN_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS UNSCHED_DOWN_HRS ,
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DEC ( DEC ( GAP_SEC , 31 , 10 ) / 3600 , 13 , 2 ) AS GAP_HRS ,
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DEC ( DEC ( UA_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS UNAVAIL_HRS ,
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DEC ( GOOD_QTY , 31 , 2 ) AS GOOD_PARTS ,
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DEC ( BAD_QTY , 31 , 2 ) AS BAD_PARTS ,
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DEC ( TARGET_QTY , 31 , 2 ) AS TARGET_PARTS ,
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INT (
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( COALESCE (
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( DECFLOAT ( UP_SEC - UDWN_SEC - GAP_SEC ) /
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NULLIF ( DECFLOAT ( UP_SEC ) , 0 ) ) , 0 ) * 100 ) +
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0.5 ) AS AVAILABILITY_PCT ,
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INT (
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( COALESCE (
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( DECFLOAT ( GOOD_QTY + BAD_QTY ) /
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NULLIF ( DECFLOAT ( TARGET_QTY ) , 0 ) ) , 0 ) * 100 )
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+ 0.5 ) AS PERFORMANCE_PCT ,
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INT (
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( COALESCE (
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( DECFLOAT ( GOOD_QTY ) /
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NULLIF ( DECFLOAT ( GOOD_QTY + BAD_QTY ) , 0 ) ) ,
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0 ) * 100 ) + 0.5 ) AS QUALITY_PCT ,
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DEC ( DEC ( ARUN_SEC , 31 , 10 ) / 3600 , 13 , 2 ) AS RUN_HRS ,
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DEC ( DEC ( ASET_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS SETUP_HRS ,
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DEC ( DEC ( ASDW_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS APPL_SDWN_HRS ,
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DEC ( DEC ( AUDW_SEC , 31 , 10 ) / 3600 , 13 , 2 )
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AS APPL_UDWN_HRS
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FROM WC_DATA
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) ,
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-- Pre-aggregate totals at each level to avoid join multiplication
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DEPT_TOTALS AS (
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SELECT RANGE_TYPE , PLANT , DEPT , SUM ( UP_SEC ) AS UP_SEC ,
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SUM ( SDWN_SEC ) AS SDWN_SEC ,
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SUM ( UDWN_SEC ) AS UDWN_SEC , SUM ( GAP_SEC ) AS GAP_SEC ,
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SUM ( GOOD_QTY ) AS GOOD_QTY , SUM ( BAD_QTY ) AS BAD_QTY ,
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SUM ( TARGET_QTY ) AS TARGET_QTY
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FROM WC_DATA
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GROUP BY RANGE_TYPE , PLANT , DEPT
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) ,
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PLANT_TOTALS AS (
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SELECT RANGE_TYPE , PLANT , SUM ( UP_SEC ) AS UP_SEC ,
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SUM ( SDWN_SEC ) AS SDWN_SEC ,
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SUM ( UDWN_SEC ) AS UDWN_SEC , SUM ( GAP_SEC ) AS GAP_SEC ,
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SUM ( GOOD_QTY ) AS GOOD_QTY , SUM ( BAD_QTY ) AS BAD_QTY ,
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SUM ( TARGET_QTY ) AS TARGET_QTY
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FROM WC_DATA
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GROUP BY RANGE_TYPE , PLANT
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) ,
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GRAND_TOTALS AS (
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SELECT RANGE_TYPE , SUM ( UP_SEC ) AS UP_SEC ,
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SUM ( SDWN_SEC ) AS SDWN_SEC ,
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SUM ( UDWN_SEC ) AS UDWN_SEC , SUM ( GAP_SEC ) AS GAP_SEC ,
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SUM ( GOOD_QTY ) AS GOOD_QTY , SUM ( BAD_QTY ) AS BAD_QTY ,
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SUM ( TARGET_QTY ) AS TARGET_QTY
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FROM WC_DATA
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GROUP BY RANGE_TYPE
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) ,
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-- Build workcenter JSON objects
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WC_JSON AS (
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SELECT RANGE_TYPE , PLANT , DEPT ,
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JSON_OBJECT (
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'workcenterName' : WC , 'oeePercentage' : OEE_PCT ,
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'elapsedHours' : ELAPSED_HRS ,
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'appliedHours' : APPLIED_HRS ,
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'timeUpHours' : TIME_UP_HRS ,
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'totalDownHours' : DOWN_TOTAL_HRS ,
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'scheduledDownHours' : SCHED_DOWN_HRS ,
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'unscheduledDownHours' : UNSCHED_DOWN_HRS ,
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'gapHours' : GAP_HRS ,
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'unavailableHours' : UNAVAIL_HRS ,
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'goodParts' : GOOD_PARTS , 'badParts' : BAD_PARTS ,
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'targetParts' : TARGET_PARTS ,
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'availabilityPercentage' : AVAILABILITY_PCT ,
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'performancePercentage' : PERFORMANCE_PCT ,
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'qualityPercentage' : QUALITY_PCT ,
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'runHours' : RUN_HRS , 'setupHours' : SETUP_HRS ,
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'appliedScheduledDownHours' : APPL_SDWN_HRS ,
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'appliedUnscheduledDownHours' : APPL_UDWN_HRS
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) AS WC_OBJ
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FROM WC_CALC
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) ,
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-- Build dept JSON with pre-aggregated totals
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DEPT_JSON AS (
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SELECT W . RANGE_TYPE , W . PLANT , W . DEPT ,
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JSON_OBJECT (
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'departmentName' : W . DEPT , 'oeePercentage' : INT (
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( COALESCE (
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( DECFLOAT (
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T . UP_SEC - T . UDWN_SEC - T . GAP_SEC ) /
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NULLIF ( DECFLOAT ( T . UP_SEC ) , 0 ) ) , 0 ) *
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COALESCE (
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( DECFLOAT ( T . GOOD_QTY + T . BAD_QTY ) /
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NULLIF ( DECFLOAT ( T . TARGET_QTY ) , 0 ) ) ,
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0 ) *
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COALESCE (
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( DECFLOAT ( T . GOOD_QTY ) /
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NULLIF (
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DECFLOAT ( T . GOOD_QTY + T . BAD_QTY ) ,
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0 ) ) , 0 ) * 100 ) + 0.5 ) ,
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'elapsedHours' : DEC (
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DEC (
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T . UP_SEC + T . SDWN_SEC + T . UDWN_SEC +
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T . GAP_SEC , 31 , 10 ) / 3600 , 13 , 2 ) ,
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'timeUpHours' : DEC (
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DEC ( T . UP_SEC , 31 , 10 ) / 3600 , 13 , 2 ) ,
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'goodParts' : DEC ( T . GOOD_QTY , 31 , 2 ) ,
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'targetParts' : DEC ( T . TARGET_QTY , 31 , 2 ) ,
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'workcenters' : JSON_ARRAYAGG (
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W . WC_OBJ FORMAT JSON
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ORDER BY W . DEPT
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)
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) AS DEPT_OBJ
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FROM WC_JSON W
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JOIN DEPT_TOTALS T
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ON W . RANGE_TYPE = T . RANGE_TYPE
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AND W . PLANT = T . PLANT
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AND W . DEPT = T . DEPT
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GROUP BY W . RANGE_TYPE , W . PLANT , W . DEPT , T . UP_SEC ,
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T . SDWN_SEC , T . UDWN_SEC , T . GAP_SEC , T . GOOD_QTY ,
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T . BAD_QTY , T . TARGET_QTY
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) ,
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-- Build plant JSON with pre-aggregated totals
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PLANT_JSON AS (
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SELECT D . RANGE_TYPE , D . PLANT ,
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JSON_OBJECT (
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'plantName' : D . PLANT , 'oeePercentage' : INT (
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( COALESCE (
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( DECFLOAT (
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T . UP_SEC - T . UDWN_SEC - T . GAP_SEC ) /
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NULLIF ( DECFLOAT ( T . UP_SEC ) , 0 ) ) , 0 ) *
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COALESCE (
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( DECFLOAT ( T . GOOD_QTY + T . BAD_QTY ) /
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NULLIF ( DECFLOAT ( T . TARGET_QTY ) , 0 ) ) ,
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0 ) *
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COALESCE (
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( DECFLOAT ( T . GOOD_QTY ) /
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NULLIF (
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DECFLOAT ( T . GOOD_QTY + T . BAD_QTY ) ,
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0 ) ) , 0 ) * 100 ) + 0.5 ) ,
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'elapsedHours' : DEC (
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DEC (
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T . UP_SEC + T . SDWN_SEC + T . UDWN_SEC +
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T . GAP_SEC , 31 , 10 ) / 3600 , 13 , 2 ) ,
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'timeUpHours' : DEC (
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DEC ( T . UP_SEC , 31 , 10 ) / 3600 , 13 , 2 ) ,
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'goodParts' : DEC ( T . GOOD_QTY , 31 , 2 ) ,
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'targetParts' : DEC ( T . TARGET_QTY , 31 , 2 ) ,
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'departments' : JSON_ARRAYAGG (
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D . DEPT_OBJ FORMAT JSON
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ORDER BY D . DEPT
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)
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) AS PLANT_OBJ
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FROM DEPT_JSON D
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JOIN PLANT_TOTALS T
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ON D . RANGE_TYPE = T . RANGE_TYPE
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AND D . PLANT = T . PLANT
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GROUP BY D . RANGE_TYPE , D . PLANT , T . UP_SEC , T . SDWN_SEC ,
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T . UDWN_SEC , T . GAP_SEC , T . GOOD_QTY , T . BAD_QTY ,
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T . TARGET_QTY
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) ,
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GROUPED AS (
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SELECT P . RANGE_TYPE ,
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JSON_OBJECT (
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'rangeLabel' :
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CASE P . RANGE_TYPE
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WHEN 'M' THEN 'Monthly'
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WHEN 'W' THEN 'Weekly'
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WHEN 'D' THEN 'Daily'
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END ,
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'generatedAt' : TO_CHAR (
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CURRENT_TIMESTAMP , 'YYYY-MM-DD HH24:MI:SS'
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) , 'totalOeePercentage' : INT (
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( COALESCE (
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( DECFLOAT (
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T . UP_SEC - T . UDWN_SEC - T . GAP_SEC ) /
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NULLIF ( DECFLOAT ( T . UP_SEC ) , 0 ) ) , 0 ) *
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COALESCE (
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( DECFLOAT ( T . GOOD_QTY + T . BAD_QTY ) /
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NULLIF ( DECFLOAT ( T . TARGET_QTY ) , 0 )
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) , 0 ) *
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COALESCE (
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( DECFLOAT ( T . GOOD_QTY ) /
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NULLIF (
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DECFLOAT (
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T . GOOD_QTY + T . BAD_QTY ) , 0 )
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) , 0 ) * 100 ) + 0.5 ) ,
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'plants' : JSON_ARRAYAGG (
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P . PLANT_OBJ FORMAT JSON
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ORDER BY P . PLANT
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)
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) AS JSON_DATA
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FROM PLANT_JSON P
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JOIN GRAND_TOTALS T
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ON P . RANGE_TYPE = T . RANGE_TYPE
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GROUP BY P . RANGE_TYPE , T . UP_SEC , T . SDWN_SEC ,
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T . UDWN_SEC , T . GAP_SEC , T . GOOD_QTY ,
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T . BAD_QTY , T . TARGET_QTY
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ORDER BY
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CASE P . RANGE_TYPE
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WHEN 'D' THEN 3
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WHEN 'W' THEN 2
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ELSE 1
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END ) SELECT JSON_OBJECT (
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'ranges' VALUE JSON_ARRAYAGG (
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JSON_DATA FORMAT JSON
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)
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)
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FROM GROUPED ;
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END ;
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GRANT ALTER , EXECUTE
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ON SPECIFIC FUNCTION RESTAPI.SFP_GET_OEE_DETAILS
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TO AMAPICS WITH GRANT OPTION ;
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GRANT EXECUTE
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ON SPECIFIC FUNCTION RESTAPI.SFP_GET_OEE_DETAILS
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TO PUBLIC ;
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