Automation Objects contain configuration for each test execution. Automation Objects define the interface under test, test conditions, and necessary data manipulation. Automation Objects can also point to other objects, UI scripts, database validation definitions, and more.
...
First items from top are the automation object name, description and assigned test type. Then the screen is divided in several sections. Navigation between these sections is possible by scrolling or clicking the section names.
| Info |
|---|
The sections presented will vary, based on the assigned test type. This section of manual describes all of the sections and their usage. For more details on each test types, see the dedicated pages of this manual. |
Basic Information
This section contains the basic information about the integration being tested. Depending on selected test type this section will contain different fields, relating to the specific integration technology - e.g. for SAP IS (CPI) these would be the iFlow name.
Backend Systems
[this is only available in APITester]
...
Backend Systems allows to specify the system lines for database validation. The specified systems lines are read from the configuration and, together with landscape on which the test case is executed, map to a RFC connection. Int4 Suite uses this RFC connection to execute dedicated function modules and reading data from the system’s database for comparison.
...
| Info |
|---|
Based on Your testing scenario, both current and reference system lines can be the same or different. For regression testing it will usually be the same system line, e.g. ECC. The testing landscapes are then different, e.g. Test and Production and the system would read reference from Production and current document from Test. For migration scenarios, e.g. ECC to S/4HANA, usually the reference would be ECC and current would be S/4HANA. Please refer to the https://int4support.atlassian.net/wiki/spaces/IUM/pages/2068021270/Int4+APITester#Environments-and-System-lines section for more details on the system lines definition. |
Database Validations
[this is only available in APITester]
...
Database Validation ruleset points to a specific Database Validation object. It’s settings are read and used for execution of the database tables and fields comparison. This allows for single database validation ruleset to be used with multiple Automation Objects.
| Info |
|---|
Read more here on defining the Database Validation rulesets: DB Validation Rulesets |
Variables
...
Variables in Int4 Suite represents a complex feature that allows for data manipulation in the processed test cases. There are various scenarios where Variable processing can be useful:
Updates of document / message content before test execution
Capturing of data from document / message content after execution
Matching documents based on the Variable content
Passing data between test cases
In this section You can add, remove and edit Variable settings.
| Info |
|---|
Read more here on details of Variables and their processing: Variables & Variable processing |
Payload Validations
...
Payload Validation enables additional checks on message content and structure. In this section You can create, edit and delete these rules. Use the “Create” button or the “X” icon for creation and deletion respectively.
Int4 Suite basic test execution will compare the messages (reference and current execution) and report any difference as error, and fail the test. While this might be OK for some migration scenarios, not all message differences are errors, some differences are even expected.
| Info |
|---|
Common scenario for different data in messages is date and time. It makes sense to ignore differences in these fields. |
Definition of Payload Validation rule consists of
Description - free form text describing the purpose of the rule
Expression type - XPath or Flat File expression
XPath is a standardized way of locating nodes and data in XML messages. For JSON messages, JSONPath syntax is accepted as expression if XPath type is selected.
Flat File expressions language is developed by Int4 and allows for matching text patterns in flat file processing. Please read here for more details: Expression language for flat files
Expression - the XPath, JSONPath or Flat File expression
Rule - specifies the behaviour if data differs at the point specified by the Expression
Ignore - the difference has no impact on test result
Warning - the difference will trigger a warning and will be highlighted in the test report
Warning when different based on Variable replacement - the difference will trigger a warning, if the data matches data in a Variable, otherwise the difference will trigger an error
Warning when different based on Value Mapping - the difference will trigger a warning, if the data matches the definition in the Value Mapping, otherwise the difference will trigger an error
Parameter - additional parameter for processing - Variable name OR Value Mapping name for comparison
| Info |
|---|
JSONPath and XPath are well-known and popular standards for structured data manipulation. You can find a lot of references and educational material on-line. Worth noting are the testing tools that allow You to experiment with XPath or JSONPath definitions. See here: Please note that Int4 does not maintain these tools and can’t guarantee for their accuracy. |
Payload Matching
In scenarios with multiple outputs for the same receiver, there is a need to compare them based on the same order as reference documents used for test case creation. Integration Platforms don’t guarantee that outputs will always be sent in the same order control; therefore, the solution is to sort the messages before comparison.
Please see the detailed pages for specific test types for more information.
IDoc Status Validations
[this is only available in APITester]
IDOC Status Validation parameters are used to override default status handling rules for Inbound and Outbound IDOC test types. Please see the relevant test type (IDoc Inbound, ) manual page for more details.
Execution Settings
For each test type, there are various settings for detailed control of test case execution. While more details can be found on the manual pages referring to specific test types, these are some general types usually found in the Automation Object.
...
Debug Log
Enables additional debugging messages in the test execution log. This is normally not enabled, as the execution log with debug will contain many details not needed for normal test execution. It is very useful for early stages of work with Int4 Suite, as it explains the details of each unsuccessful run and helps to track down and resolve connectivity problems and security issues.
Display wait popup before validation
In certain scenarios, between the message injection by Int4 Suite and readiness for test validation, manual steps must be taken. Imagine a scenario where XML message is injected into SAP CPI, where it’s mapped to an IDoc and transferred to SAP S/4. Such an IDoc might be processed automatically by the backend, but certain configurations might prevent that from happening. In such case, the tester will have to log into S/4 and manually request IDoc processing. This can be handled using the wait popup. Int4 Suite will send the message and display popup, before starting to validate backend data. Thanks to this, the tester can go to the system, complete IDoc processing, get back to Int4 Suite and confirm the popup. Only then Int4 Suite will do the data validations
Delay between execution and validation
Similarly to the wait popup, these options introduce a delay between starting the test run and/or between injecting test case data and result validation. If we know that backend processing or integration platform mapping could take a significant amount of time, in this section such a delay can be configured. Thanks to this Int4 Suite will wait before trying to validate integration platform and/or the backend - depending on the test type.
Number Ranges
...
Int4 Suite uses private number ranges for data processing needs. Quite often, when sending test data to test systems again and again, the message can’t be exactly the same. For example, sending the same purchase order to generate sales order in S/4 could result in an error, if the system is configured to treat such situations as duplicates. Also, having a specific data field in the document might be mandatory to find another document - e.g. by generating an unique PO number for the Sales Order, we can find the newly created Sales Order in the database. The actual mechanics for such replacements is described in the section Variables & Variable processing.
Number range definition consists of:
Number range name - a technical code identifying the number range
Prefix - string of characters added before the resulting number
Low value - starting value of the number range
High value - final value of the number range
Current value - value which will be assigned when the number range is next used
Suffix - string of characters added after the resulting number
Add zeroes - check to add leading zeroes so that the number has always the same length
Incr. per Test Run - normally the number is increased each time the test case is executed. If this is not desirable, the number range will advance only once per test run if this is checked
Data Scrambling
...
Data scrambling enables to reduce or remove any GDPR, privacy and security concerns when it comes to testing. When Int4 Suite is extracting the test data from existing messages or reports testing results, the visibility and availability of sensitive data could be an issue. To avoid this issue, sensitive data can be scrambled. Scrambling can occur at test case creation time and during the test execution. Actual behaviour of the scrambling engine is configured by a set of rules.
Data scrambling rule settings
Rule type - decide when the rule needs to execute, at Test Case Creation or at Runtime
Rule - free form text description of the rule
Method - actual scrambling method
Expression type - XPath or Flat File. See the Payload Validation section for more details on these Expressions
Expression - actual expression that points to specific data object in the message
Parameters - additional parameters for specific Methods\
Available scrambling Methods
...
CONSTANT - replace data with a constant text, provided in the first Parameter
CUSTOM - calls a custom ABAP code for scrambling - takes both Parameters as input
GUID - generates an unique ID based on the scrambled value
HASH - generates a numerical shortcut (using one-way hash function) that represents the scrambled value
MASK - replace each character in the value with a character specified in the first Parameter
RANDOM - generates a random number value
| Info |
|---|
Depending on the actual scrambled data, it might be relevant or not for the test result. Usually textual data in the messages gets forwarded without modifications and is less relevant for the processing. For example, for employee data, it can contain name and address, but only the personal number is relevant for process execution. So, the name and address could be replaced by random data, masked or even removed by providing empty constant. If the data to be scrambled needs to be compared, consider using the Hash. While it hides the actual data, it will always return the same hash value for the same scrambled value. This enables partial validation of the sensitive data. |
Parameters
Parameters control interface technology specific behaviour of the testing program. They vary significantly, based on the selected test type for the specific Automation Object. Please see the manual pages for specific test types for details on these parameters.