how to create search which filters customers from ...
# ask-stanley-ai
s
how to create search which filters customers from id,from date,to date using suitescript
c
AI generated answer (using internal Slack threads):
To create a search which filters customers from id, from date, to date using SuiteScript, you can use the
SEARCH.createFilter
method to create filters for your search. Here is a sample code snippet:
Copy code
javascript
var filters = []
filters.push(SEARCH.createFilter({ name: 'internalid', operator: 'IS', values: [id] }));
filters.push(SEARCH.createFilter({ name: 'datecreated', operator: 'AFTER', values: [fromDate] }));
filters.push(SEARCH.createFilter({ name: 'datecreated', operator: 'BEFORE', values: [toDate] }));

var customerSearch = SEARCH.create({
    type: SEARCH.Type.CUSTOMER,
    columns: ['internalid', 'datecreated'],
    filters: filters
});

var searchResult = customerSearch.run();
In this code: -
SEARCH.createFilter
is used to create filters for the search. The
name
parameter is the field name, the
operator
parameter is the search operator, and the
values
parameter is the value to filter by. -
SEARCH.create
is used to create the search. The
type
parameter is the record type to search, the
columns
parameter is an array of column names to return in the search results, and the
filters
parameter is an array of filters for the search. -
customerSearch.run()
is used to run the search and return the results. Please replace
id
,
fromDate
, and
toDate
with your actual values. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.827302
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.821563125
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.820710182
Please provide your feedback on this answer.