Introduction to HttpRunner:
HttpRunner is a general-purpose testing framework for the HTTP(S) protocol. It only needs to write and maintain a YAML/JSON script to realize various testing requirements such as automated testing, performance testing, online monitoring, and continuous integration.
The author, Li Long, was a test development engineer at DJI before. The project originated from the internal test requirements of DJI, and then turned into an open source project.
HttpRunner operating environment:
1. HttpRunner is a test framework developed based on Python, which can run on macOS, Linux, and Windows system platforms.
2. Python version: HttpRunner supports all versions of Python 3.4 and above, and uses Travis-CI for continuous integration testing. The versions covered by the test include 2.7/3.4/3.5/3.6/3.7. Although HttpRunner has temporarily retained compatibility support for Python 2.7, it is strongly recommended to use Python 3.4 and above.
3. Operating system: macOS/Linux is recommended.
HttpRunner design concept:
- Fully reuse excellent open source projects, do not pursue reinventing wheels, but assemble powerful wheels into chariots
- Follow the principle of convention over configuration
- Incorporate automated testing best engineering practices into framework functions
- The pursuit of input-output ratio, a single input can achieve a variety of testing requirements
HttpRunner core features:
Inherit all the features of Requests, and easily realize various testing requirements of HTTP(S);
Use YAML/JSON to describe test scenarios to ensure the uniformity and maintainability of test case descriptions
With the help of auxiliary functions (debugtalk.py), it is easy to implement complex dynamic calculation logic in test scripts
Support a complete test case layering mechanism to fully realize the reuse of test cases
Support perfect hook mechanism before and after testing
The response result supports a rich verification mechanism
Interface recording and use case generation based on HAR (har2case)
Combined with the Locust framework, distributed performance testing can be achieved without additional work
The execution method adopts CLI call, which can be perfectly combined with continuous integration tools such as Jenkins
The statistical report of test results is concise and clear, with detailed statistical information and log records
Strong scalability, easy to achieve secondary development and Web platform
In the HttpRunner automated test project, there are mainly the following types of files:
YAML/JSON (required): test case file, one file corresponds to one test case
debugtalk.py (optional): script function, storing logical operation functions in the project
When this file exists, it will be used as the positioning mark of the project root directory, and the directory where it is located is regarded as the root directory of the project project (the current working directory CWD)
When this file does not exist, the path where the tests are run will be taken as the current working directory CWD
The relative path (such as .csv) in the test case file must be based on the current working directory CWD
After running the test, the test report folder (reports) will be generated in the current working directory CWD
.env (optional): stores project environment variables
.csv (optional): project data file for data-driven
reports (automatically generated): automatically generated after running, no need to create
Practical case
Optical theory is useless, you have to learn to follow along, and you have to do it yourself, so that you can apply what you have learned to practice. At this time, you can learn from some actual combat cases.
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