Generic Logic
Create a generic feeder logic that emits the Quote objects for use in the Analytics logic:
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def quotesRecieved = true
int i = 0
int step = 200
def qs = []
def quotes = []
while (quotesRecieved) {
// lastRunTime - last run time of the Data Load. For the first run, it should be an old date which includes all the quotes.
qs = api.find("Q", i, step, null,
Filter.greaterOrEqual("lastUpdateDate", lastRunTime))
if (qs.size() != 0) {
quotes += qs
i += step
} else {
quotesRecieved = false
}
}
for (q in quotes) {
if (q?.id != null) api.emitPersistedObject("Q", q.id)
} |
Retrieve the target rowset from the Datamart:
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def targetRs = api.getDatamartRowSet("target") |
Fetch the Quote from the feeder logic:
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def quotetargetRs = api.currentItemgetDatamartRowSet("target") |
Fetch header inputs/output values from the Quote:
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def clic = api.getCalculableLineItemCollection(quote?.typedId)
for (input in clic?.inputs) {
if (input.name == "OpportunityType") {
opptyType = input.value
continue
}
}
for (output in clic?.outputs) {
if (output.resultName == "Country") {
country = output.result
continue
}
} |
Fetch line-level inputs/output values from the Quote (you can use api.getCalculableLineItemResult to fetch line-level outputs):
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for (li in clic.lineItems) {
def lineId = li.lineId
def cli = api.getCalculableLineItem(clic.typedId, lineId)
for (input in cli?.inputs) {
if (input.name == "Apply Quantity Break Pricing Structure") {
applyQtyBreak = input.value
continue
}
}
def tierDiscount = api.getCalculableLineItemResult(cli, "TierDiscount")
} |
Create a map object mapping values to Datamart fields. (Map keys MUST match the Datamart field names). Add the row to the target rowset:
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def row = [:]
row.Quote = quote.uniqueName
row.CustomerNumber = customerNum
row.CustomerName = customerName
row.NationalAccount = nationalAcct
targetRs?.addRow(row) |
Create global variables for all field values:
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row?.each {
api.global[it.key] = it.value
} |
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