examples.csv

Option 2, using maybe roboframework.csv, in pseudocode

Likely_Member__c
True,
False

cci task run dataset import my-flow-examples
${rows}=		read csv as list		test.csv ## You still need a csv to store Likely_Member__c, the dataset only solves setting up the graph
contacts = Get All contacts
for index in range. 0 , contacts.length
    row = rows(index)
    contact = contacts(index)    
    Should Be Equal updated_contact.Likely_Member__c row(1)

Pros:

• the complex set up of graph and dependencies of linked objects is handled by cumulus ci data set
  Cons:
• You need a different csv for the results and linking that csv with the dataset used in input is not trivial
• Still, ShouldBeEqual is hardcoded in the test, what if in some cases you want to test Should Be Greater Than, or Should Not Be Greater Than?

Option 3:

1. Have a file that stores the relationship between the dataset ids and the expected values
2. Parse that file with roboframework
3. Perform CCI tasks
4. Loop over the file and perform the assertion (potentially dynamically)

ContactId, AssertionType, Value

0131aaaa, Should Be Equal To, 10
0131aaab, Should Be Greater Than , 20