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When working with YAML files in Go, you may encounter scenarios where the key names within the file vary. This is often used for API versioning or dynamic configuration purposes. To effectively parse such YAML structures, you'll need to employ custom parsing strategies.
In the context of API versioning, it's possible to have a YAML file with keys representing different versions, such as "V1", "V2", "V3", and so on. The catch is that these versions might not always be present in the file, and their order may be inconsistent.
To resolve this issue, consider implementing a custom Unmarshaler for the corresponding data structure. This allows you to control the unmarshalling process and handle dynamic key values.
<code class="go">package main import ( "fmt" "gopkg.in/yaml.v2" ) type MajorVersion struct { Current string `yaml:"current"` MimeTypes []string `yaml:"mime_types"` SkipVersionValidation bool `yaml:"skip-version-validation"` SkipMimeTypeValidation bool `yaml:"skip-mime-type-validation"` } type Environment struct { SkipHeaderValidation bool Versions map[string]MajorVersion } func (e *Environment) UnmarshalYAML(unmarshal func(interface{}) error) error { var params struct { SkipHeaderValidation bool `yaml:"skip-header-validation"` } if err := unmarshal(&params); err != nil { return err } var versions map[string]MajorVersion if err := unmarshal(&versions); err != nil { // Here we expect an error because a boolean cannot be converted to a MajorVersion if _, ok := err.(*yaml.TypeError); !ok { return err } } e.SkipHeaderValidation = params.SkipHeaderValidation e.Versions = versions return nil } func main() { var e map[string]Environment if err := yaml.Unmarshal([]byte(data), &e); err != nil { fmt.Println(err.Error()) } fmt.Printf("%#v\n", e) }</code>
By defining a custom Unmarshaler for the Environment struct, you can effectively handle both boolean and nested structures within your YAML file.
Custom Unmarshalers offer a powerful way to parse complex and dynamic YAML structures in Golang. By implementing customized unmarshaling logic, you can adapt your data structures to varying key formats, making it easier to work with YAML files in situations where the structure might change over time.
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