How is Python used in JMeter?

To use Python in JMeter, you need to use the JSR223 Sampler element to execute Python scripts. When using JSR223 Sampler to execute Python scripts, you need to ensure that the Python interpreter has been configured in JMeter and the correct environment path has been set.

1. Make sure that JMeter has installed the Python interpreter, and add the path of the interpreter to the environment variable of the computer.

2. In the lib directory of JMeter, create a new directory to store the library files required by the Python interpreter.

3. Copy all the library files (.jar files) of the Python interpreter to the newly created directory.

4. Restart JMeter to make sure it can find the Python interpreter and related library files.

5. Add the JSR223 Sampler element in JMeter:

  • Select the thread group to add JSR223 Sampler in the test plan.
  • Right-click on the thread group, select Add -> Sampler -> JSR223 Sampler.

6. In the "Script Language" option of JSR223 Sampler, select the scripting language used as "python".

picture

7. Write a Python script in the "Script" edit box, using appropriate syntax and logic.

8. Use the vars object to access and set JMeter variables. The vars object can be used directly in Python scripts and it will automatically interact with JMeter variables.

Below is an example demonstrating how to execute a Python script in JMeter:

import sys 
from java.util import HashMap 

# 获取JMeter的变量 
vars = HashMap() 

# 获取请求参数 
param = vars.get("param") 

# 在控制台输出请求参数 
sys.stdout.println("参数值为:" + param) 

# 将结果存储到JMeter的变量中 
vars.put("result", "Success") 

In this example, the sys and HashMap classes are first imported. Then, create a HashMap object called vars to interact with JMeter's variables in the Python script.

The script gets the value of a JMeter variable called "param" and displays the parameter value on the console. Next, store the result ("Success") into a JMeter variable named "result".

Note that when using Python scripts, ensure that the environment and path of the Python interpreter are correctly configured, and the required library files are placed in JMeter's lib directory. This will ensure proper execution of Python scripts and interaction with other features of JMeter.

There are many things you can do with Python in JMeter:

1. Data processing and conversion:

Using Python, the response data captured in JMeter can be processed and transformed, such as extracting specific data, parsing JSON or XML responses, performing data cleaning, etc.

2. Dynamic data generation:

Dynamic test data can be generated using Python and integrated into JMeter's request parameters. For example, generating random usernames, email addresses, or other types of data.

3. Data validation and assertion:

Using Python's assertion library, you can write custom assertion logic to verify response data and ensure that API responses meet expectations. For example, use Python's unittest library to write assertion logic.

4. Customized request:

By executing Python scripts, you can modify request parameters or add custom request headers according to specific test requirements. This enables more advanced request customization, such as carrying specific authentication tokens, generating timestamped requests, etc.

5. Database operation:

Using Python's database library, you can connect to the database and perform data manipulation, such as inserting test data, querying data in the database, and verifying the state of the database.

6. File processing:

Using Python, you can read and write files, handle file uploads and downloads, and perform other file-related operations. This is useful for test scenarios that simulate file uploads and downloads.

7. Generation of renderings:

Use Python's visualization library, such as Matplotlib or Seaborn, to generate charts and renderings, and perform visual analysis and reporting on test results.

8. Advanced logic control:

Python has more powerful logic control capabilities, and can write complex test logic, such as conditional judgment, loop, exception handling, etc. Useful in situations where advanced scene simulation and flow control are required.

Finally: In order to give back to the die-hard fans, I have compiled a complete software testing video learning tutorial for you. If you need it, you can get it for free【保证100%免费】
insert image description here

Software Testing Interview Documentation

We must study to find a high-paying job. The following interview questions are the latest interview materials from first-tier Internet companies such as Ali, Tencent, and Byte, and some Byte bosses have given authoritative answers. Finish this set The interview materials believe that everyone can find a satisfactory job.

insert image description here
insert image description here

Guess you like

Origin blog.csdn.net/m0_67695717/article/details/132020914