This is a fork of github.com/jmoiron/jsonq which seems not to be maintained anymore. This fork extends the original project in a way that allows to query yaml data as well as json data.

---

yamlq

Simplify your golang yaml/json usage by extracting fields or items from arrays and objects with a simple, hierarchical query. API Documentation on godoc.org.

This package is meant to make working with complex feeds a bit more easy. If you have simple feeds you want to model with struct types, check out jflect, which will create struct definitions given a yaml or json document.

installing

go get github.com/covexo/yamlq

usage

Given some json data like:

{
	"foo": 1,
	"bar": 2,
	"test": "Hello, world!",
	"baz": 123.1,
	"array": [
		{"foo": 1},
		{"bar": 2},
		{"baz": 3}
	],
	"subobj": {
		"foo": 1,
		"subarray": [1,2,3],
		"subsubobj": {
			"bar": 2,
			"baz": 3,
			"array": ["hello", "world"]
		}
	},
	"bool": true
}

Decode it into a map[interface{}]interface{}:

import (
	"strings"
	"encoding/json"
	"github.com/covexo/yamlq"
)

data := map[string]interface{}{}
dec := json.NewDecoder(strings.NewReader(jsonstring))
dec.Decode(&data)
yq := yamlq.NewQuery(data)

From here, you can query along different keys and indexes:

// data["foo"] -> 1
yq.Int("foo")

// data["subobj"]["subarray"][1] -> 2
yq.Int("subobj", "subarray", "1")

// data["subobj"]["subarray"]["array"][0] -> "hello"
yq.String("subobj", "subsubobj", "array", "0")

// data["subobj"] -> map[string]interface{}{"subobj": ...}
obj, err := yq.Object("subobj")

Missing keys, out of bounds indexes, and type failures will return errors. For simplicity, integer keys (ie, {"0": "zero"}) are inaccessible by yamlq as integer strings are assumed to be array indexes.

The Int and Float methods will attempt to parse numbers from string values to ease the use of many real world feeds which deliver numbers as strings.