Following yesterday’s content, today we will go into actual practice. Because regular expressions are very powerful and complex, please refer to the relevant documents for the parts in this experiment that are beyond the scope of what you learned last time. This tutorial is only to help operation and maintenance engineers get started quickly. If you don’t understand it, you can also use it as a direct replacement tool. .
Review the regular expressions in Telnet and SSH automatic inspection scripts: DeviceName = re.search('.*(?=#show run)',telreply).group(), telreply is the content of the inspection, then you can see it when you open the beginning of the log:
R1>enable Password: R1#terminal length 0 R1#show run Building configuration...
Obviously, this regular expression is to match before '#show' Any character (except newline), then of course it is R1.
Do a more complicated experiment and intercept more configuration fragments. For example, the following configuration requires finding the IP address of each interface of this device:
############################ ! interface FastEthernet0/0 ip address 192.168.1.200 255.255.255.0 duplex half ! interface GigabitEthernet1/0 no ip address shutdown negotiation auto ! interface Serial2/0 ip address 192.168.2.200 255.255.255.0 ! ############################
Assign it to the log Medium: (The real environment is to read the log log directly)
log = ''' #Here are three quotes, then press Enter to paste the above configuration, then press Enter three quotes, and press Enter. (Three quotes can be used to paste multi-line strings).
Now check the log:
>>> log '\n!\ninterface FastEthernet0/0\n ip address 192.168.1.200 255.255.255.0\n duplex half\n!\ninterface GigabitEthernet1/0\n no ip address\n shutdown\n negotiation auto\n!\ninterface Serial2/0\n ip address 192.168.2.200 255.255.255.0\n!\n' >>>
You can find that the strings are all on one line, and the line break is actually '\n'. If you use print(log) , then the display effect will be the same as above with line breaks.
You can also find that the configuration of Cisco equipment is separated by exclamation marks (!). The beginning of each interface is 'interface', and the IP address is preceded by 'ip'. address'. So it is not difficult to imagine that there is 'interface(.*)\n' in the regular expression, which matches the first line of an interface configuration. The configuration ends with '!', so the expression before '!' requires '(?=!)'. The number of lines of configuration in the middle is uncertain. What is certain is that there is at least one line of configuration and there will be a newline character, that is, '(.*\n)+?)'. '+?' here means non-greedy matching of the previous expression (.*\n) one or more times. Parentheses can achieve the capture effect, but if you want to turn off the capture effect, just follow the left bracket with a ?:. This experiment is to match all strings, so 're.findall()' is used. No more explanation, just go to the code:
ljds = re.findall('interface(.*)\n((?:.*\n)+?)(?=!)',log) >>> ljds [(' FastEthernet0/0', ' ip address 192.168.1.200 255.255.255.0\n duplex half\n'), (' GigabitEthernet1/0', ' no ip address\n shutdown\n negotiation auto\n'), (' Serial2/0', ' ip address 192.168.2.200 255.255.255.0\n')]
The result is that the configuration of each interface is divided into tuples of interface name + configuration, nested in a list.
Next write a For loop to grab the interface and IP again:
Running effect:
Test completed! The purpose of obtaining the IP address of each interface is achieved.
Now that I have learned this method, I can use it to monitor the configuration or status of the device in the future. For example, if the interface status is originally 'UP', if it changes to 'DOWN', I will send you an email to notify you.
The above is the content of Python regular expression [2]. For more related content, please pay attention to the PHP Chinese website (www.php.cn)!

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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