In automated testing , According to the requirements of the project , Custom log fields , You can also use python in logging Module definition log .
The main function of using logs can also be divided into three parts ： Program debugging 、 Understand the operation of software programs 、 Software program running fault analysis and problem location , The same is true with the introduction of logging in our automated testing .
One 、 Custom log module
You can customize the fields in the log according to specific conditions , Such as time 、 file 、 Test case name , Test case name , Expected results , Information such as actual results . Call this method to write the corresponding data where the log needs to be written in the test case .
1. establish python Custom log module in the environment
Custom log module , Although the function is not as good as the professional module , But you can easily customize the output , We can also try to use... In our automated testing work .
2. Where you need to output logs , Import the created log module , And call methods 
3. View the contents of the log file 
Two 、logging Log module
logging The module is Python Built in standard modules , It is mainly used to output the operation log , You can set the level of output log 、 Log save path 、 Log file rollback, etc , comparison print() Print directly on the console , It has the following advantages ：
You can set different log levels
You can only output important information , Without having to display a lot of debugging information
logging It's up to the developer to decide where to output the information , And how to output .
1. encapsulation logging Log module
Packaging Foundation logging Module function , Call it in the automation script , Can be defined as a class or method , Easy to call and use 
2. Where the test case needs to output logs , Call this method to log .
3、 Solve the problem of Chinese garbled code in the log
stay Python Installation directory /lib/logging/ Next , modify __init__.py The following code of the module , take encoding The default value of is changed to utf-8 that will do .
4. To configure logging In several ways
1） Use Python Explicit code creation loggers, handlers and formatters And call their configuration functions respectively ;
2） Create a log profile , And then use fileConfig() Function to read the contents of the file ;
3） Create a dict, And then pass it on to dictConfig() function ;
5. Add context information to the log output
In addition to the parameters passed to the logging function , Sometimes we want to include some additional context information in the log output . such as , In a web application , You may want to log client specific information , Such as ： Remote client's IP Address and username . Here we will introduce the following implementation methods ：
· By passing a to the logging function extra Parameter introduces context information
· Use LoggerAdapters Introduce contextual information
· Use Filters Introduce contextual information
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