Quantcast
Channel: XML, System.Xml, MSXML and XmlLite forum
Viewing all articles
Browse latest Browse all 935

Compute Price changes of Product code and summary of volume using XSLT

$
0
0

There are multiple factories in inventory. We need to compute & transform data by factory, Product and Price Change.

Let say Product Code ‘5’ have the price change from  1.00 to 1.10.so we need sum the quantity of Price 1.0 as a one row and sum of quantity of price 1.10.

In above example Product code 5 and Price 1.0 contains two rows (i.e. Quantity 30+quantity 10).Total Qty is 40 for product code 5 in Factory 1000

Similarly Product code 5 and Price 1.10 contains 2 rows (i.e. Quantity 10+quantity 10). Total Qty is 20 for product code 5 in Factory 1000.

Last Transaction of each Product code/site TransdateTime to be change like Date ddmmyyyy

And Time ‘235959’

We want to implement below requirement using custom xslt.Can you please help how to do using XSLT

Sample Input XML Structure

<Factory>  <!—Repeated Factory Details>

 <FactoryID>100</FactoryID>

<Transaction>

 <ProductCode>5</ProductCode>

 <Quantity>30.000</Quantity>

 <UnitPrice>1.000</UnitPrice>

 <Amount>30.00</Amount>

<DateTime>2016-08-10T14:38:38</DateTime>

  </Transaction>

<Transaction>

 <ProductCode>29</ProductCode>

 <Quantity>990.000</Quantity>

 <UnitPrice>1.211</UnitPrice>

 <Amount>1198.89</Amount>

<DateTime>2016-08-10T15:38:38</DateTime>

  </Transaction>

<Factory>

FactoryID

ProductCode

Quantity

UnitPrice

Amount

TransDateTime

00140201

5

30.000

1.000

30.000

2016-08-10T14:38:38

00140201

29

990.000

1.211

1198.890

2016-08-10T14:51:22

00140201

5

30.000

1.000

30.000

2016-08-10T15:38:38

00140201

29

30.000

1.211

36.330

2016-08-10T15:51:22

00140201

5

10.000

1.050

10.500

2016-08-10T15:51:22

00140201

5

10.000

1.120

11.200

2016-08-10T16:38:38

00140201

5

20.000

1.120

22.400

2016-08-10T18:38:38

00140201

29

30.000

1.150

34.500

2016-08-10T19:51:22

00335001

3

75.000

1.119

83.925

2016-08-10T14:38:38

00335001

5

75.000

1.300

97.500

2016-08-10T15:38:38

00335001

3

75.000

1.119

83.925

2016-08-10T15:38:39

00335001

5

10.000

1.300

13.000

2016-08-10T15:50:38

00335001

5

10.000

1.100

11.000

2016-08-10T16:05:38

Expected Output data:

Record Tag

FactoryID

Item ID

ddmmyyyy  - Date

Time(hhmmss)

volume Usage

Price Break

R

00140201

5

10082016

153838

60.000

1.000

R

00140201

5

10082016

155122

10.000

1.050

R

00140201

5

10082016

235959

30.000

1.120

R

00140201

29

10082016

155122

1020.000

1.211

R

00140201

29

10082016

235959

30.000

1.150

R

00335001

3

10082016

235959

150.000

1.119

R

00335001

5

10082016

155038

85.000

1.300

R

00335001

5

10082016

235959

10.000

1.100

 



Viewing all articles
Browse latest Browse all 935

Trending Articles



<script src="https://jsc.adskeeper.com/r/s/rssing.com.1596347.js" async> </script>