github.com/uudashr/gocognit

Gocognit

Gocognit calculates cognitive complexities of functions (and methods) in Go source code. A measurement of how hard does the code is intuitively to understand.

Understanding the complexity

Given code using if statement,

func GetWords(number int) string {
    if number == 1 {            // +1
        return "one"
    } else if number == 2 {     // +1
        return "a couple"
    } else if number == 3 {     // +1
        return "a few"
    } else {                    // +1
        return "lots"
    }
} // Cognitive complexity = 4

Above code can be refactored using switch statement,

func GetWords(number int) string {
    switch number {             // +1
        case 1:
            return "one"
        case 2:
            return "a couple"
        case 3:
            return "a few"
        default:
            return "lots"
    }
} // Cognitive complexity = 1

As you see above codes are the same, but the second code are easier to understand, that is why the cognitive complexity score are lower compare to the first one.

Comparison with cyclomatic complexity

Example 1

Cyclomatic complexity

func GetWords(number int) string {      // +1
    switch number {
        case 1:                         // +1
            return "one"
        case 2:                         // +1
            return "a couple"
        case 3:                         // +1
             return "a few"
        default:
             return "lots"
    }
} // Cyclomatic complexity = 4

Cognitive complexity

func GetWords(number int) string {
    switch number {                     // +1
        case 1:
            return "one"
        case 2:
            return "a couple"
        case 3:
            return "a few"
        default:
            return "lots"
    }
} // Cognitive complexity = 1

Cognitive complexity give lower score compare to cyclomatic complexity.

Example 2

Cyclomatic complexity

func SumOfPrimes(max int) int {         // +1
    var total int

OUT:
    for i := 1; i < max; i++ {          // +1
        for j := 2; j < i; j++ {        // +1
            if i%j == 0 {               // +1
                continue OUT
            }
        }
        total += i
    }

    return total
} // Cyclomatic complexity = 4

Cognitive complexity

func SumOfPrimes(max int) int {
    var total int

OUT:
    for i := 1; i < max; i++ {          // +1
        for j := 2; j < i; j++ {        // +2 (nesting = 1)
            if i%j == 0 {               // +3 (nesting = 2)
                continue OUT            // +1
            }
        }
        total += i
    }

    return total
} // Cognitive complexity = 7

Cognitive complexity give higher score compare to cyclomatic complexity.

Rules

The cognitive complexity of a function is calculated according to the following rules:

Note: these rules are specific for Go, please see the original whitepaper for more complete reference.

Increments

There is an increment for each of the following:

1. if, else if, else
2. switch, select
3. for
4. goto LABEL, break LABEL, continue LABEL
5. sequence of binary logical operators
6. each method in a recursion cycle

Nesting level

The following structures increment the nesting level:

1. if, else if, else
2. switch, select
3. for
4. function literal or lambda

Nesting increments

The following structures receive a nesting increment commensurate with their nested depth inside nesting structures:

1. if
2. switch, select
3. for

Installation

go install github.com/uudashr/gocognit/cmd/gocognit@latest

or

go get github.com/uudashr/gocognit/cmd/gocognit

Usage

$ gocognit
Calculate cognitive complexities of Go functions.

Usage:

  gocognit [<flag> ...] <Go file or directory> ...

Flags:

  -over N       show functions with complexity > N only
                and return exit code 1 if the output is non-empty
  -top N        show the top N most complex functions only
  -avg          show the average complexity over all functions,
                not depending on whether -over or -top are set
  -test         indicates whether test files should be included
  -json         encode the output as JSON
  -d 	        enable diagnostic output
  -f format     string the format to use
                (default "{{.Complexity}} {{.PkgName}} {{.FuncName}} {{.Pos}}")
  -ignore expr  ignore files matching the given regexp

The (default) output fields for each line are:

  <complexity> <package> <function> <file:row:column>

The (default) output fields for each line are:

  {{.Complexity}} {{.PkgName}} {{.FuncName}} {{.Pos}}

or equal to <complexity> <package> <function> <file:row:column>

The struct being passed to the template is:

  type Stat struct {
    PkgName     string
    FuncName    string
    Complexity  int
    Pos         token.Position
    Diagnostics []Diagnostics
  }

  type Diagnostic struct {
    Inc     string
    Nesting int
    Text    string
    Pos     DiagnosticPosition
  }

  type DiagnosticPosition struct {
    Offset int
    Line   int
    Column int
  }

Examples:

$ gocognit .
$ gocognit main.go
$ gocognit -top 10 src/
$ gocognit -over 25 docker
$ gocognit -avg .
$ gocognit -ignore "_test|testdata" .

The output fields for each line are:

<complexity> <package> <function> <file:row:column>

Ignore individual functions

Ignore individual functions by specifying gocognit:ignore directive.

//gocognit:ignore
func IgnoreMe() {
    // ...
}

Diagnostic

To understand how the complexity are calculated, we can enable the diagnostic by using -d flag.

Example:

$ gocognit -json -d .

It will show the diagnostic output in JSON format

JSON Output

[
    {
        "PkgName": "prime",
        "FuncName": "SumOfPrimes",
        "Complexity": 7,
        "Pos": {
            "Filename": "prime.go",
            "Offset": 15,
            "Line": 3,
            "Column": 1
        },
        "Diagnostics": [
            {
                "Inc": 1,
                "Text": "for",
                "Pos": {
                    "Offset": 69,
                    "Line": 7,
                    "Column": 2
                }
            },
            {
                "Inc": 2,
                "Nesting": 1,
                "Text": "for",
                "Pos": {
                    "Offset": 104,
                    "Line": 8,
                    "Column": 3
                }
            },
            {
                "Inc": 3,
                "Nesting": 2,
                "Text": "if",
                "Pos": {
                    "Offset": 152,
                    "Line": 9,
                    "Column": 4
                }
            },
            {
                "Inc": 1,
                "Text": "continue",
                "Pos": {
                    "Offset": 190,
                    "Line": 10,
                    "Column": 5
                }
            }
        ]
    }
]

Related project

• Gocyclo where the code are based on.
• Cognitive Complexity: A new way of measuring understandability white paper by G. Ann Campbell.