Unmarshal YAML into complex objects, either structs or strings
php editor strawberry introduction: YAML is a lightweight data serialization format. It has a concise and easy-to-read syntax and is widely used for configuration files and data exchange. In PHP, we can use the YAML parsing library to unmarshal YAML data into complex objects, which can be structures or strings. This provides developers with a convenient way to handle and manipulate configuration files and other data. Whether building complex applications or simplifying configuration management, YAML parsing plays an important role in PHP.
Question content
Try to unmarshal yaml into complex objects, such as map[string]map[interface{}]string
.
The problem is that I want to be able to differentiate between the string
and the source
part of the interface{}
, which is a struct.
type source struct { id string `yaml:"id"` name string `yaml:"name"` logoid string `yaml:"logoid"` url string `yaml:"url"` } type unft struct { itemmeta map[string]map[interface{}]string `yaml:"item_meta"` // could be // itemmeta map[string]map[string]string `yaml:"item_meta"` // or // itemmeta map[string]map[source]string `yaml:"item_meta"` }
Apparently yaml doesn't know how to unmarshal into a source
structure, so I have to implement the unmarshaler
interface:
type unmarshaler interface { unmarshalyaml(value *node) error }
But I don't quite understand the overall situation of the unmarshalling process. Generally speaking, I assume I have to manually iterate through *yaml.node
and call func unmarshalyaml(value *node) error
on each node.
package main import ( "fmt" "gopkg.in/yaml.v3" ) type Source struct { ID string `json:"id"` Name string `json:"name"` LogoID string `json:"logoId"` URL string `json:"url"` } var data = ` unf: item_meta: source: !struct ? id: "data-watch" name: "DataWatch" logoid: "data-watch" url: "https" : "product_any('SS')" public_usage: "": "source_any('SDF')" "provider": "source_any('ANO')"` type UNFT struct { ItemMeta map[string]map[interface{}]string `yaml:"item_meta"` } type MetaConverterConfigT struct { UNFT UNFT `yaml:"unf"` } func main() { cfg := MetaConverterConfigT{} err := yaml.Unmarshal([]byte(data), &cfg) if err != nil { fmt.Println("%w", err) } fmt.Println(cfg) } func (s *UNFT) UnmarshalYAML(n *yaml.Node) error { var cfg map[string]map[interface{}]string if err := n.Decode(&cfg); err != nil { fmt.Println("%w", err) } return nil }
Go to the amusement park
Solution
type metakey struct { string string source source } func (k *metakey) unmarshalyaml(n *yaml.node) error { if n.tag == "!!str" { return n.decode(&k.string) } if n.tag == "!!map" { return n.decode(&k.source) } return fmt.errorf("unsupported metakey type") } // ... type unft struct { itemmeta map[string]map[metakey]string `yaml:"item_meta"` }
https://www.php.cn/link/50f9999b2ee27e222c5513e945e9ea9c
If you need to keep the mapping type unchanged, i.e. without adding a custom key type, then you can also implement the unmarshaller on unft and just remap using any
:
type UNFT struct { ItemMeta map[string]map[any]string `yaml:"item_meta"` } func (u *UNFT) UnmarshalYAML(n *yaml.Node) error { var obj struct { ItemMeta map[string]map[MetaKey]string `yaml:"item_meta"` } if err := n.Decode(&obj); err != nil { return err } u.ItemMeta = make(map[string]map[any]string, len(obj.ItemMeta)) for k, v := range obj.ItemMeta { m := make(map[any]string, len(v)) for k, v := range v { if k.Source != (Source{}) { m[k.Source] = v } else { m[k.String] = v } } u.ItemMeta[k] = m } return nil }
https://www.php.cn/link/543378fb36a83810ded2d725f2b6c883
The above is the detailed content of Unmarshal YAML into complex objects, either structs or strings. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

This article explains Go's package import mechanisms: named imports (e.g., import "fmt") and blank imports (e.g., import _ "fmt"). Named imports make package contents accessible, while blank imports only execute t

This article details efficient conversion of MySQL query results into Go struct slices. It emphasizes using database/sql's Scan method for optimal performance, avoiding manual parsing. Best practices for struct field mapping using db tags and robus

This article explains Beego's NewFlash() function for inter-page data transfer in web applications. It focuses on using NewFlash() to display temporary messages (success, error, warning) between controllers, leveraging the session mechanism. Limita

This article demonstrates creating mocks and stubs in Go for unit testing. It emphasizes using interfaces, provides examples of mock implementations, and discusses best practices like keeping mocks focused and using assertion libraries. The articl

This article explores Go's custom type constraints for generics. It details how interfaces define minimum type requirements for generic functions, improving type safety and code reusability. The article also discusses limitations and best practices

This article details efficient file writing in Go, comparing os.WriteFile (suitable for small files) with os.OpenFile and buffered writes (optimal for large files). It emphasizes robust error handling, using defer, and checking for specific errors.

The article discusses writing unit tests in Go, covering best practices, mocking techniques, and tools for efficient test management.

This article explores using tracing tools to analyze Go application execution flow. It discusses manual and automatic instrumentation techniques, comparing tools like Jaeger, Zipkin, and OpenTelemetry, and highlighting effective data visualization
