The Run and Wait scope provided by MUnit allows you to instruct MUnit to wait until all asynchronous executions have completed. Hence, test execution does not start until all threads opened by production code have finished processing.
Real-world Model-View-ViewModel for WPFPaul Stovell
Slides from a talk I gave at the DeveloperDeveloperDeveloper Sydney event. I introduce the MVVM pattern by refactoring some existing code to use MVVM, introduce commands, add some unit tests, then describe the pattern in detail.
The JMeter tool was firstly created by Stefano Mazzotti from the Apache Software Foundation.
Exactly this tool is used by software testing company as it possesses a whole set of advantages.
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The Run and Wait scope provided by MUnit allows you to instruct MUnit to wait until all asynchronous executions have completed. Hence, test execution does not start until all threads opened by production code have finished processing.
Real-world Model-View-ViewModel for WPFPaul Stovell
Slides from a talk I gave at the DeveloperDeveloperDeveloper Sydney event. I introduce the MVVM pattern by refactoring some existing code to use MVVM, introduce commands, add some unit tests, then describe the pattern in detail.
The JMeter tool was firstly created by Stefano Mazzotti from the Apache Software Foundation.
Exactly this tool is used by software testing company as it possesses a whole set of advantages.
(by QATestLab)
Mule Munit
1. Solution for JUnit Functional test cases By: Kiet Bui 22-Sep-2015
2. Abstract • The main motto of this white paper is what the issues to write test cases using JUnit are and how to overcome those issues.
3. Table of Contents • ABSTRACT 1. INTRODUCTION 2. PROBLEM STATEMENT 3. SOLUTION 4. BENEFITS 5. CONCLUSION 6. REFERENCES 7. ABOUT THE AUTHOR 8. ABOUT WHISHWORKS
4. Introduction • We have multiple unit test frameworks to write unit and functional test cases for our services. When we write functional test cases using JUnit we can’t mock mule components. To resolve this issues we have to use MUnit and I am going to explain what is the problem with JUnit and how to resolve using MUnit in the below.
5. Problem Statement • When we write functional test cases using JUnit, the test case will directly connect to original components like SAP, Salesforce etc. and insert/select the data. It is the issue in JUnit functional test case why because we are writing functional test cases to check whether entire functionality is working as expected or not without modifying the original components(SAP,Salesforce,Database) data, but in JUnit functional test cases it is directly connecting to original components and modifying the original data. • Examples: 1. SAP Connector • Mule flow:
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Assignment 02 Process State SimulationCSci 430 Introduction to.docxcargillfilberto
Assignment 02: Process State Simulation
CSci 430: Introduction to Operating Systems Fall 2020
In this assignment we will simulate a three-state process model (ready, running and blocked) and a simple process control block structure as introduced in Chapter 3 of our textbook. This simulation will utilize a ready queue and a list of blocked processes. We will simulate processes being created, deleted, timing out because they exceed their time quantum, and becoming blocked and unblocked because of (simulated) I/O events.
Questions
How does round robin scheduling work?
How does an operating system manage processes, move them between ready, running and blocked states, and
determine which process is scheduled next?
What is the purpose of the process control block? How does the PCB help an operating system manage and
keep track of processes?
Objectives
• Explore the Process state models from an implementation point of view.
• Practice using basic queue data types and implementing in C.
• Use C/C++ data structures to implement a process control block and round robin scheduling queues. • Learn about Process switching and multiprogramming concepts.
• Practice using STL queues and list data structures.
Introduction
In this assignment you will simulate a three-state process model (ready, running and blocked) and a simple list of processes, like the process control block structure as discussed in Chapter 3. Your program will read input and directives from a file. The input describes events that occur to the processes running in the simulation. These are the full set of events that can happen to and about processes in this simulation:
In addition to these events, there are 2 other implicit events that need to occur before and after every simulated event 1
listed above.
Action dispatch
timeout
Description
Before processing each event, if the CPU is currently idle, try and dispatch a process from the ready queue. If the ready queue is not empty, we will remove the process from the head of the ready queue and allocate it the CPU to run for 1 system time slice quantum.
After processing each event, we need to test if the running process has exceeded its time slice quantum yet. If a process is currently allocated to the CPU and running, check how long it has been run on its current dispatch. If it has exceeded its time slice quantum, the process should be timed out. It will be put back into a ready state, and will be pushed back to the end of the system ready queue.
The input file used for system tests and simulations will be a list of events that occur in the system, in the order they are to occur. For example, the first system test file looks like this:
----- process-events-01.sim -------- new
cpu
cpu
cpu
new
cpu
cpu
cpu
cpu
block 83
cpu
cpu
unblock 83
cpu
cpu
done
cpu
cpu
cpu
cpu ----------------------------------
The simulation you are developing is a model of process management and scheduling as described in.
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While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
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4. Introduction
We have multiple unit test frameworks to write unit
and functional test cases for our services. When we
write functional test cases using JUnit we can’t mock
mule components. To resolve this issues we have to use
MUnit and I am going to explain what is the problem
with JUnit and how to resolve using MUnit in the
below.
5. Problem Statement
When we write functional test cases using JUnit,
the test case will directly connect to original
components like SAP, Salesforce etc. and
insert/select the data. It is the issue in JUnit
functional test case why because we are writing
functional test cases to check whether entire
functionality is working as expected or not without
modifying the original components (SAP,
Salesforce, Database) data, but in JUnit functional
test cases it is directly connecting to original
components and modifying the original data.
7. Flow of execution
Trigger the service with xml request.
Receive the input request and process it.
Transform the processed request to SAP IDoc and push it to SAP.
8. Functional test case using JUnit:
Public void functionalTest(){
File fXmlFile = new File(request.xml);
StringBuilder sb = new StringBuilder();
BufferedReader br = new BufferedReader(new FileReader(fXmlFile));
String sCurrentLine = new String();
//Read the data from file and append to string
while ((sCurrentLine = br.readLine()) != null) {
sb.append(sCurrentLine);
}
DefaultHttpClient httpclient = new DefaultHttpClient();
HttpPost httppost = new HttpPost(requrl);
httppost.setEntity(new StringEntity(sb.toString(), "UTF-8"));
//Trigger the service
HttpResponse response = httpclient.execute(httppost);
}
9. Flow of execution
1. Read the input request from request.xml file.
2. Trigger the service with above request.
3. Process the input request.
4. Transform the processed request to SAP IDoc and push it to
SAP.
Issue
Here we are unable to mock the SAP component so the test case
is directly pushing the IDoc to original SAP.
NOTE: Not only pushing the IDoc to SAP, at the time of
receiving IDoc from SAP also we will face same issue.
12. Flow of execution
1. Trigger the service with xml request.
2. Processes the input request.
3. Create the processed request as customer in Salesforce.
13. Functional Test Case
Public void functionalTest(){
File fXmlFile = new File(request.xml);
StringBuilder sb = new StringBuilder();
BufferedReader br = new BufferedReader(new FileReader(fXmlFile));
String sCurrentLine = new String();
// Read the data from file and append to string
while ((sCurrentLine = br.readLine()) != null) {
sb.append(sCurrentLine);
}
DefaultHttpClient httpclient = new DefaultHttpClient();
HttpPost httppost = new HttpPost(requrl);
httppost.setEntity(new StringEntity(sb.toString(), "UTF-8"));
//Trigger the service
HttpResponse response = httpclient.execute(httppost);
}
14. Flow of Execution
1. First read the input request from request.xml file.
2. Trigger the service with above request.
3. Process the input request.
4. Create the customer in salesforce.
Issue
Here also we are unable to mock the Salesforce component so it
will connect to original Salesforce connector and create the
customer on it.
16. Solution
To resolve the above JUnit functional test case issue we have a
separate framework called MUnit. MUnit is also one framework
which is used to write test cases as same as JUnit, but here in
MUnit we can mock all components like SAP, Salesforce,
Database etc. So to overcome the above problem we can use
MUnit to write functional test cases.
17. Example
Mocking Salesforce test case using Munit
mflow
<?xml version="1.0" encoding="UTF-8"?>
<mule xmlns="http://www.mulesoft.org/schema/mule/core" xmlns:vm="http://www.mulesoft.org/schema/mule/vm"
xmlns:sfdc="http://www.mulesoft.org/schema/mule/sfdc" xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
xmlns:spring="http://www.springframework.org/schema/beans" xmlns:core="http://www.mulesoft.org/schema/mule/core"
version="EE-3.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.mulesoft.org/schema/mule/vm http://www.mulesoft.org/schema/mule/vm/current/mule-
vm.xsd
http://www.mulesoft.org/schema/mule/sfdc http://www.mulesoft.org/schema/mule/sfdc/5.0/mule-sfdc.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd">
<vm:endpoint exchange-pattern="request-response" path="CREATE_CSTMR_VM" name="CREATE_CSTMR_VM"
doc:name="VM"/>
<vm:endpoint exchange-pattern="request-response" path="INSERT_PERSON_ACT_VM" name="INSERT_PERSON_ACT_VM"
doc:name="VM"/>
<flow name="CreateCustomerSFServiceTSFlow1" doc:name="CreateCustomerSFServiceTSFlow1">
<vm:inbound-endpoint exchange-pattern="request-response" ref="CREATE_CSTMR_VM" doc:name="VM"/>
<component class="com.vertu.services.ecom.maintaincustmr.processor.CreateCustomerProcessor"
doc:name="CreateCustomerProcessor"/>
</flow>
<flow name="CreateCustomerSFServiceTSFlow2" doc:name="CreateCustomerSFServiceTSFlow2">
<vm:inbound-endpoint exchange-pattern="request-response" ref="INSERT_PERSON_ACT_VM" doc:name="VM"/>
<sfdc:create config-ref="ECOM_SALESFORCE_CONNECTOR" type="#[payload.Type]" doc:name="Salesforce">
<sfdc:objects ref="#[payload.Object]"/>
</sfdc:create>
</flow>
</mule>
Here we have a Salesforce component to create the customer in
Salesforce and return the customer-id as payload. So in
functional test case we should mock this component without
18. How to mock Salesforce component in MUnit functional test case
To mock Salesforce component, first we should know
Endpoint type.
Name of the message processor and namespace of endpoint (from auto-generated
XML).
The type of payload the endpoint returns.
Mocking above flow Salesforce component
Create the salesforce response payload.
List<Map<String,Object>> l1 = new ArrayList<Map<String,Object>>();
Map<String,Object> m1 = new HashMap<Srtring,Object>>();
m1.put(“custid”,”1234”);
l1.add(m1);
Mock the salesforce component and return the above created list as response
payload.
whenMessageProcessor("create").ofNamespace("sfdc").
thenReturn( muleMessageWithPayload( l1) );
19. MUnit functional test case for above flow
public class MUnitSalesforceStubTest extends
FunctionalMunitSuite {
/**
* The purpose of this method is to define the list of flow
* files which will be loaded by Munit test case before executing
* Munit test case. Specify multiple flow files as comma
* separated XML files.
*/
@Override
protected String getConfigResources() {
return "src/main/app/MUnitSFTest.xml";
}
/**
*The purpose of this method is to define the list of
flow name which will execute in Munit test case.
*/
20. protected List<String> getFlowsExcludedOfInboundDisabling(){
List<String> list = new ArrayList<String>();
list.add("CreateCustomerSFServiceTSFlow2");
return list;
}
/**
* The purpose of this method is to flip between mock
* and real time interfaces. Return false to Mock
* all endpoints in your flow
*/
@Override
public boolean haveToMockMuleConnectors() {
return true;
}
21. /**
* Java based Munit test case. Contains mocking and
* invocation of flows and assertions.
*/
@Test
public void validateEchoFlow() throws Exception {
List<Map<String,Object>> l1 = new
ArrayList<Map<String,Object>>();
Map<String,Object> m1 = new HashMap<Srtring,Object>>();
m1.put(“custid”,”1234”);
l1.add(m1);
// Mock SFDC outbound endpoint
whenMessageProcessor("query").ofNamespace("sfdc").thenRetu
rn( muleMessageWithPayload( l1) );
22. // Run the Munit test case by passing a test payload
MuleEvent resultEvent = runFlow( "
CreateCustomerSFServiceTSFlow1", testEvent(“request”));
// The resultEvent contains response from the VM flow
System.out.println( "The flow response is:: " +
resultEvent.getMessage().getPayloadAsString() );
// Do any assertion here using Assert.equals() for asserting
response // payload
}
}
23. Mocking Database component test case using
MUnit
Mflow:
<flow name="CheckAcctIDFlow" doc:name="CheckAcctIDFlow">
<vm:inbound-endpoint exchange-pattern="request-
response" ref="FETCH_ACT_GUID_VM1"
doc:name="FETCH_ACT_GUID_VM1"/>
<logger
message="#[message.inboundProperties['ACCT_GUID']]"
level="INFO" doc:name="Logger"/>
<jdbc-ee:outbound-endpoint exchange-pattern="request-
response" queryKey="Get_ACC_ID" queryTimeout="-1"
connector-ref="CDMR_JDBC_CONNECTOR"
doc:name="Get_ACCT_ID"/>
</flow>
• Here we have a database component used to select and
return the account-id from database. So we need to mock this
component in functional test case.
24. Mocking above flow Database component
Create the database response payload.
List<Map<String,Object>> l1 = new
ArrayList<Map<String,Object>>();
Map<String,Object> m1 = new HashMap<Srtring,Object>>();
m1.put(“accountid”,”1234”);
l1.add(m1);
Mock the database component and return the above created list
as response payload.
whenEndpointWithAddress( "jdbc://Get_ACC_ID"
).thenReturn(new DefaultMuleMessage(l1, muleContext ) );
25. MUnit functional test case for above flow
public class MUnitSalesforceStubTest extends
FunctionalMunitSuite {
/**
* The purpose of this method is to define the list of flow
* files which will be loaded by Munit test case before
executing
* Munit test case. Specify multiple flow files as comma
* separated XML files.
*/
@Override
protected String getConfigResources() {
return "src/main/app/MUnitSFTest.xml";
}
26. /**
* The purpose of this method is to flip between mock
* and real time interfaces. Return false to Mock
* all endpoints in your flow
*/
@Override
public boolean haveToMockMuleConnectors() {
return true;
}
/**
* Java based Munit test case. Contains mocking and
* invocation of flows and assertions.
*/
@Test
public void validateEchoFlow() throws Exception {
List<Map<String,Object>> l1 = new ArrayList<Map<String,Object>>();
Map<String,Object> m1 = new HashMap<Srtring,Object>>();
27. // Mock Database outbound endpoint
whenEndpointWithAddress( "jdbc://Get_ACC_ID"
).thenReturn(new DefaultMuleMessage(l1, muleContext ) );
// Run the Munit test case by passing a test payload
MuleEvent resultEvent = runFlow( " CheckAcctIDFlow ",
testEvent(“request”));
// The resultEvent contains response from the VM flow
System.out.println( "The flow response is:: " +
resultEvent.getMessage().getPayloadAsString() );
// Do any assertion here using Assert.equals() for asserting
response // payload
}
}
28. Benefits
• Create Java based or Mule flow based unit test cases
• Mock endpoints (Salesforce, Database, or SAP etc.) to return
custom payloads for unit testing
• Dynamically flip/parameterize Munit test cases to Mock payloads
or use real time interfaces
• Support functional unit testing similar to Mule Functional test case
• Support Assertion through Spy processors and additionally verify
flows using Message verifiers (introspect payload at different flows
for flow navigation)
• Support Asynchronous flow processing and request-response
processors
• Mock without custom database or in memory database
• Automate test cases using Maven and generate HTML reports using
Surefire plugins
29. Conclusion
When we write test cases using JUnit we can’t mock all mule
components and the test case will connect to original
connectors(SAP, Salesforce). So to overcome this issue we can
use MUnit to write test cases effectively.