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Writing Custom Leinter in GO

writer is simple. I was surprised as it is easy to write a walk. Today we write a linter that calculates the cyclomatic complexity of the go-codes.

What is cyclomatic complexity?

Cyclomatic complexity is a software metric used to display the complexity of a program. Ref

The idea is simple - every time we find Control Flow statements, we increase the complexity by one. I know that I have a bitimplified, but I do not want to overwhelm them with unnecessary details.

There are a few steps that we should follow to write our custom background. First, we can create a test that checks if our Linter works work or not. Let's set it in PKG / Analyzer / Analyser_Test.Go file.

The This websiten () function is a helper that simplifies the test of the tests. What it does is the LINTER on packet complexity in the TestDnordner. We use the function Newanalyzer () that returns the instance of our analyzer. Add it to the PKG / Analyzer / Analyzer.Go.

We use the flag set to enter parameters in the background. In the Newanalyzer () we define the analyzer named Cyclop, description and the defined running function. It accepts Analysis.Pass structure described in the documents. We now only need a few items from it.

To report a problem in the analyzed file, we can use the pass.reportf () method. It accepts the position of the diagnosis and the message that the user will see. The pass.files is a slice of * ast.file, that is, a list of files in the pack.

We will use the last to iterate every file and check it one after the other. If we recognize a problem, we report it. To do this, we have to iterate these files using the loop below.

This is the heart of our background. The AST.Node is an interface with only two methods needed during the message of problems.

We are interested in functions or methods only, so we have to throw this type in * ast.funcdecl.

Our loop should look like the below.

It's time to calculate the cyclomatic complexity. The new complexity function accepts the * AST.FILE. The algorithm increases the complexity every time he finds, whether, for the selection or the CASE statement as well as || or && operators in IF statement.

There are as.walk (& v, fn) leash that can be confusing. This feature accepts a visitor called on any subordinate node of the parent node of the parent node. We use a simple assistance to determine the type of specific node.

If we have the code, we can write test cases. Let's create a new complexity package. Within the complexity. GO file Enter the code below.

We have created two functions. The noocomplexity () function has 1 complexity as it has only one execution of execution. The background should not report no problem. Highcomplexity has a bundle if instructions that increase this metric. It should report a problem. Note that we have a special comment with which the test suite can know about the diagnosis that we expect. You can think about it as the then section in terms of - when - then. All insider quotes is a regular expression that must match the diagnostic message. You can read more about it in the official documents.

When we run our tests, we should see success! The next step is to make the LINTER file executable. All we have to do is create a file in the CMD / Cyclop / Cyclop.go file and receive the contents below.

The above code runs our analyzer as a stand-alone tool. And that's it! We have a fully functional Go Linter! The complete (and a bit more complex) code is available on Github.

There is an optional step that you can create - add your Linter to Golangci Flint.Here is an example of the linter we built.

I hope the go-community gets many fantastic linters that save us hours or days.

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