File parsing using Unix Shell Scripting

Question

I am trying to do some transformation and I'm stuck. Here goes the problem description.

Below is the pipe delimited file. I have masked data!

AccountancyNumber|AccountancyNumberExtra|Amount|ApprovedBy|BranchCurrency|BranchGuid|BranchId|BranchName|CalculatedCurrency|CalculatedCurrencyAmount|CalculatedCurrencyVatAmount|ControllerBy|Country|Currency|CustomFieldEnabled|CustomFieldGuid|CustomFieldName|CustomFieldRequired|CustomFieldValue|Date|DateApproved|DateControlled|Email|EnterpriseNumber|ExpenseAccountGuid|ExpenseAccountName|ExpenseAccountStatus|ExpenseGuid|ExpenseReason|ExpenseStatus|ExternalId|GroupGuid|GroupId|GroupName|IBAN|Image|IsInvoice|MatchStatus|Merchant|MerchantEnterpriseNumber|Note|OwnerShip|PaymentMethod|PaymentMethodGuid|PaymentMethodName|ProjectGuid|ProjectId|ProjectName|Reimbursable|TravellerId|UserGUID|VatAmount|VatPercentage|XpdReference|VatCode|FileName|CreateTstamp
61470003||30.00|null|EUR|168fcea9-17d4-45a1-8b6f-bfb249cdbea6|BEL|BEL|USD,INR,EUR|35.20,2420.11,30.00|null,null,null|null|BE|EUR|true|0d4b767b-0988-47e8-9144-05e607169284|careertitle|false|FE|2018-07-24T00:00:00|null|null|abc_def@xyz.com||c32f03c6-31df-4fd8-8cc2-1c5f3a580aad|Meals - In Office|true|781d10d2-2f3b-43bc-866e-a653fefacbbe||Approved|70926|40ac7117-c7e2-42ea-b34f-96330c9380b6|BEL-FSP-Users|BEL-FSP-Users|||false|None|in office meal #1|||Personal|Cash|1ee44666-f4c7-44b3-acd3-8ecd7127480a|Cash|2cb4ccb7-634d-4386-af43-b4572ec72098|00AA06|00AA06|true||6c5a835f-5152-46db-923a-3ebd08c7dad3|null|null|XPD012245802||1820711.xml|2018-08-07 05:42:10.46

In this file, we have got CalculatedCurrency field where we have multiple values delimited by a comma. The file also has field CalculatedCurrencyAmount which too has multiple values delimited by a comma. But I need to pick up only that currency value from CalculatedCurrency field which belongs to BranchCurrency (another field in the file) and of course corresponding CalculatedCurrencyAmount for that Currency.

Required output : -

AccountancyNumber|AccountancyNumberExtra|Amount|ApprovedBy|BranchCurrency|BranchGuid|BranchId|BranchName|CalculatedCurrency|CalculatedCurrencyAmount|CalculatedCurrencyVatAmount|ControllerBy|Country|Currency|CustomFieldEnabled|CustomFieldGuid|CustomFieldName|CustomFieldRequired|CustomFieldValue|Date|DateApproved|DateControlled|Email|EnterpriseNumber|ExpenseAccountGuid|ExpenseAccountName|ExpenseAccountStatus|ExpenseGuid|ExpenseReason|ExpenseStatus|ExternalId|GroupGuid|GroupId|GroupName|IBAN|Image|IsInvoice|MatchStatus|Merchant|MerchantEnterpriseNumber|Note|OwnerShip|PaymentMethod|PaymentMethodGuid|PaymentMethodName|ProjectGuid|ProjectId|ProjectName|Reimbursable|TravellerId|UserGUID|VatAmount|VatPercentage|XpdReference|VatCode|FileName|CreateTstamp| ActualCurrency|ActualAmount 61470003||30.00|null|EUR|168fcea9-17d4-45a1-8b6f-bfb249cdbea6|BEL|BEL|USD,INR,EUR|35.20,2420.11,30.00|null,null,null|null|BE|EUR|true|0d4b767b-0988-47e8-9144-05e607169284|careertitle|false|FE|2018-07-24T00:00:00|null|null|abc_def@xyz.com||c32f03c6-31df-4fd8-8cc2-1c5f3a580aad|Meals - In Office|true|781d10d2-2f3b-43bc-866e-a653fefacbbe||Approved|70926|40ac7117-c7e2-42ea-b34f-96330c9380b6|BEL-FSP-Users|BEL-FSP-Users|||false|None|in office meal #1|||Personal|Cash|1ee44666-f4c7-44b3-acd3-8ecd7127480a|Cash|2cb4ccb7-634d-4386-af43-b4572ec72098|00AA06|00AA06|true||6c5a835f-5152-46db-923a-3ebd08c7dad3|null|null|XPD012245802||1820711.xml|2018-08-07 05:42:10.46| EUR|30.00

Please help.

Snaplogic Python Script

from com.snaplogic.scripting.language import ScriptHook
from com.snaplogic.scripting.language.ScriptHook import *
import csv

class TransformScript(ScriptHook):
    def __init__(self, input, output, error, log):
        self.input = input
        self.output = output
        self.error = error
        self.log = log

    def execute(self):
        self.log.info("Executing Transform script")

        while self.input.hasNext():
            data = self.input.next()
            branch_currency = data['BranchCurrency']
            calc_currency = data['CalculatedCurrency'].split(',')
            calc_currency_amount = data['CalculatedCurrencyAmount'].split(',')

            result = None
        for i, name in enumerate(calc_currency):
            result = calc_currency_amount[i] if name == branch_currency else result
            data["CalculatedCurrencyAmount"] = result
            result1 = calc_currency[i] if name == branch_currency else result
            data["CalculatedCurrency"] = result1



            try:
                data["mathTryCatch"] = data["counter2"].longValue() + 33
                self.output.write(data)
            except Exception as e:
                data["errorMessage"] = e.message
                self.error.write(data)






        self.log.info("Finished executing the Transform script") 
hook = TransformScript(input, output, error, log)

Answer 1

Using awk:

awk 'BEGIN{FS=OFS="|"}
     NR==1{print $0,"ActualCurrency","ActualAmount";next}
     {n=split($9,a,",");split($10,b,",");for(i=1;i<=n;i++) if(a[i]==$5) print $0,$5,b[i]}' file

BEGIN{FS=OFS="|"} sets the input and ouput delimiter to | .

The NR==1 statement takes care of the header by adding the 2 strings.

The 9th and 10th fields are splitted based on the , separator, and values are set inside the arrays a and b .

The for loop is trying to find the value of the a array corresponding to the 5th field. If found, the corresponding value of the b is printed.

Answer 2

Using bash with some arrays:

arr_find() {
        echo $(( $(printf "%s\0" "${@:2}" | grep -Fnxz "$1" | cut -d: -f1) - 1 ))
}
IFS='|' read -r -a headers
while IFS='|' read -r "${headers[@]}"; do
        IFS=',' read -r -a CalculatedCurrency <<<"$CalculatedCurrency"
        IFS=',' read -r -a CalculatedCurrencyAmount <<<"$CalculatedCurrencyAmount"

        idx=$(arr_find "$BranchCurrency" "${CalculatedCurrency[@]}")
        echo "BranchCurrency is $BranchCurrency. Hence CalculatedCurrency will be ${CalculatedCurrency[$idx]} and CalculatedCurrencyAmount will have to be ${CalculatedCurrencyAmount[$idx]}."

done

First I read all headers names. Then read all values into headers. Then read CalculatedCurrency* correctly, cause they are separated by ','. Then I find the element number which is equal to BranchCurrency inside CalculatedCurrency. Having the element index and arrays, I can just print the output.

Answer 3

I know, the op asked for unix shell, but as an alternative option I show some code to do it using python. (Obviously this code can be heavily improved also.) The great advantage is readability, for instance, that you can address your data via name. Or the code, which is much more readable at all, than doing this with awk et al.

Save your data in data.psv , write the following script into a file main.py . I've tested it using python3 and python2. Both works. Run the script using python main.py .

Update: I've extended the script to parse all lines. In the example data, I've set BranchCurrency to EUR in the first line and USD in the secondline, as a dummy test.

File: main.py

import csv

def parse_line(row):
  branch_currency = row['BranchCurrency']
  calc_currency = row['CalculatedCurrency'].split(',')
  calc_currency_amount = row['CalculatedCurrencyAmount'].split(',')

  result = None
  for i, name in enumerate(calc_currency):
    result = calc_currency_amount[i] if name == branch_currency else result

  return result


def main():
  with open('data.psv') as f:
    reader = csv.DictReader(f, delimiter='|')
    for row in reader:
      print(parse_line(row))


if __name__ == '__main__':
  main()

Example Data:

[:~] $ cat data.psv 
AccountancyNumber|AccountancyNumberExtra|Amount|ApprovedBy|BranchCurrency|BranchGuid|BranchId|BranchName|CalculatedCurrency|CalculatedCurrencyAmount|CalculatedCurrencyVatAmount|ControllerBy|Country|Currency|CustomFieldEnabled|CustomFieldGuid|CustomFieldName|CustomFieldRequired|CustomFieldValue|Date|DateApproved|DateControlled|Email|EnterpriseNumber|ExpenseAccountGuid|ExpenseAccountName|ExpenseAccountStatus|ExpenseGuid|ExpenseReason|ExpenseStatus|ExternalId|GroupGuid|GroupId|GroupName|IBAN|Image|IsInvoice|MatchStatus|Merchant|MerchantEnterpriseNumber|Note|OwnerShip|PaymentMethod|PaymentMethodGuid|PaymentMethodName|ProjectGuid|ProjectId|ProjectName|Reimbursable|TravellerId|UserGUID|VatAmount|VatPercentage|XpdReference|VatCode|FileName|CreateTstamp
61470003||35.00|null|EUR|168fcea9-17d4-45a1-8b6f-bfb249cdbea6|BEL|BEL|USD,INR,EUR|35.20,2420.11,30.00|null,null,null|null|BE|EUR|true|0d4b767b-0988-47e8-9144-05e607169284|careertitle|false|FE|2018-07-24T00:00:00|null|null|abc_def@xyz.com||c32f03c6-31df-4fd8-8cc2-1c5f3a580aad|Meals - In Office|true|781d10d2-2f3b-43bc-866e-a653fefacbbe||Approved|70926|40ac7117-c7e2-42ea-b34f-96330c9380b6|BEL-FSP-Users|BEL-FSP-Users|||false|None|in office meal #1|||Personal|Cash|1ee44666-f4c7-44b3-acd3-8ecd7127480a|Cash|2cb4ccb7-634d-4386-af43-b4572ec72098|00AA06|00AA06|true||6c5a835f-5152-46db-923a-3ebd08c7dad3|null|null|XPD012245802||1820711.xml|2018-08-07 05:42:10.46
61470003||35.00|null|USD|168fcea9-17d4-45a1-8b6f-bfb249cdbea6|BEL|BEL|USD,INR,EUR|35.20,2420.11,30.00|null,null,null|null|BE|EUR|true|0d4b767b-0988-47e8-9144-05e607169284|careertitle|false|FE|2018-07-24T00:00:00|null|null|abc_def@xyz.com||c32f03c6-31df-4fd8-8cc2-1c5f3a580aad|Meals - In Office|true|781d10d2-2f3b-43bc-866e-a653fefacbbe||Approved|70926|40ac7117-c7e2-42ea-b34f-96330c9380b6|BEL-FSP-Users|BEL-FSP-Users|||false|None|in office meal #1|||Personal|Cash|1ee44666-f4c7-44b3-acd3-8ecd7127480a|Cash|2cb4ccb7-634d-4386-af43-b4572ec72098|00AA06|00AA06|true||6c5a835f-5152-46db-923a-3ebd08c7dad3|null|null|XPD012245802||1820711.xml|2018-08-07 05:42:10.46

Example Run:

[:~] $ python main.py 
30.00
35.20

Answer 4

You don't need to use the script snap here at all. Writing scripts for transformations all the time hampers the performance and defeats the purpose of an IPaaS tool altogether. The mapper should suffice.

I created the following test pipeline for this problem.

I saved the data provided in this question in a file and saved it in SnapLogic for the test. In the pipeline, I parsed it using a CSV parser.

Following is the parsed result.

Then I used a mapper for doing the required transformation.

Following is the expression for getting the actual amount.

$CalculatedCurrency.split(',').indexOf($BranchCurrency) >= 0 ? $CalculatedCurrencyAmount.split(',')[$CalculatedCurrency.split(',').indexOf($BranchCurrency)] : null

Following is the result.

Avoid writing scripts for problems that can be solved using mappers.