Simplify your golang 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 json document.
go get github.com/jmoiron/jsonq
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[string]interface{}:
import (
"strings"
"encoding/json"
"github.com/jmoiron/jsonq"
)
data := map[string]interface{}{}
dec := json.NewDecoder(strings.NewReader(jsonstring))
dec.Decode(&data)
jq := jsonq.NewQuery(data)From here, you can query along different keys and indexes:
// data["foo"] -> 1
jq.Int("foo")
// data["subobj"]["subarray"][1] -> 2
jq.Int("subobj", "subarray", "1")
// data["subobj"]["subarray"]["array"][0] -> "hello"
jq.String("subobj", "subsubobj", "array", "0")
// data["subobj"] -> map[string]interface{}{"subobj": ...}
obj, err := jq.Object("subobj")Missing keys, out of bounds indexes, and type failures will return errors.
For simplicity, integer keys (ie, {"0": "zero"}) are inaccessible
by jsonq 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.
Suggestions/comments please tweet @jmoiron