Getting The Value of Third or Fourth Level JSON Key

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I am trying to write a python test based around the value of a third or fourth level JSON key in Python and can't figure out how.

Here is an example of the JSON code:

{  
    "status":"Success",
    "firstID":"12345",
    "errorDetails":{  
        "message":null,
        "additionalinfo":{  
        }
    },
    "randomID":"678910",
    "response":[  
        {  
            "aid":"123456",
            "outcome":"Good",
            "stausMessage":"success",
            "additionalInfo":{  
                "successes":[  
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    },
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    },
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    },
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    }
                ],
                "errors":[  

                ]
            }
        }
    ],
    "additionalInfo":{  

    }
}

This json is part of a REST service repsonse called response. I can access the second level keys using the following code:

        a_id = int(self.response.json()['response'][0]['aid'])
        assert_that(aid).is_between(123450, 123499)

However I can't figure out how to reach the lower-level keys named "aid" which is equal to 097c9e28.

You just need to drill further, the fourth level for example is under ['additionalInfo']['success'], to access it you need to use ['response'][0]['additionalInfo']['successes'][0]['aid'], where 0 is the index.

For example ['response'][0]['additionalInfo']['successes'][0] gives you the following result:

{'aid': '097c9e28', 'additionalProperties': {'details': ['Successful call']}}

What JSON structure to use for key value pairs?, You can have repeated keys in the first format, but not in the third. The reason it's terrible, in addition to being more verbose, is that for single-level JSON, it breaks most libraries' automatic The 3rd format is in general the best. If i don't know the key name how am i supposed to retrieve it with the first or the last format ? A JSON value can be an object, array, number, string, true, false, or null, and JSON structure can be nested up to any level. So for the sake of simplicity and to understand the rendering part easily, let's assume a JSON name can have two types of values, a leaf value or a nested structure. A leaf value can be string, number, true, false, or null.

Quite uqly but if you want one-liner it would be this:

a_id = int(self.response.json()["response"][0]["additionalInfo"]["successes"][0]["aid"])

JSON subvalue operators, At the fourth level of decomposition, the third array subvalue (i.e. the value with the index of 2 ) is an object with two key-value pairs called "a" and "b". And at the � JSON objects are surrounded by curly braces {}. JSON objects are written in key/value pairs. Keys must be strings, and values must be a valid JSON data type (string, number, object, array, boolean or null). Keys and values are separated by a colon. Each key/value pair is separated by a comma.

You can try like this:

import json
resp = json.loads("""
{  
    "status":"Success",
    "firstID":"12345",
    "errorDetails":{  
        "message":null,
        "additionalinfo":{  
        }
    },
    "randomID":"678910",
    "response":[  
        {  
            "aid":"123456",
            "outcome":"Good",
            "stausMessage":"success",
            "additionalInfo":{  
                "successes":[  
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    },
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    },
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    },
                    {  
                        "aid":"097c9e28",
                        "additionalProperties":{  
                            "details":[  
                                "Successful call"
                            ]
                        }
                    }
                ],
                "errors":[  

                ]
            }
        }
    ],
    "additionalInfo":{  
    }
}
""")

a_id = resp.get('response', [])[0].get("additionalInfo").get("successes")[0].get("aid", "")
print(a_id)

Guide to Linux jq Command for JSON Processing, This means that working with JSON via the command line can be To find a property value, we simply combine this filter followed by the If we need to retrieve multiple keys we can separate them using a comma: 4. JSON Arrays. Let's now take a look at how we can work with arrays in JSON data. For the second key-value pair, the value is an object with the keys "first", "middle", and "last". For the third key-value pair, the value is an array. The elements of the array are themselves JSON objects with keys "type" and "number". The fourth key-value pair has a boolean value, which in this case is false.

Working With JSON (Application Developer's Guide) — MarkLogic , The supporting low-level APIs are built into MarkLogic Server, allowing for extremely fast transformations. Therefore, when you try to get the name of the node in XQuery using [3, 4]] is treated as [1, 2, 3, 4] and the [] operator returns sequence member values. There is no equivalent string value for a JSON object node. The first variant seems more compact and more "semantically meaningful". The second variant seems more evenly structured which might help processing it. The 3rd variant seems even more semantic. The key value pairs will be used to attach arbitrary data to some other item. The data must be serialized as JSON to round-tip it through a system.

12.18.3 Functions That Search JSON Values, Two scalar values are comparable if they have the same JSON_TYPE() types, in set (0.00 sec) mysql> DELETE FROM jemp WHERE c->"$.id" = "4"; Query OK, a JSON column value column and a path expression path , the following three Returns the keys from the top-level value of a JSON object as a JSON array, or, � It has a "nested" array (set of key-value pairs) for "CityAliases". I want to loop through those Aliases. We're working in NAV2016, so I took the Json Management codeunit from BC and downgraded it to C/AL, but the functions are the same. The "JsonString" parameter passed is the full JSON result as shown in the first message:

Documentation: 9.3: JSON Functions and Operators, array of text, Get JSON object at specified path as text, '{"a":[1,2,3],"b":[4,5 will be added between level 1 elements if pretty_bool is true. row_to_json(row(1,'foo ')) Otherwise, for any value other than a number, a Boolean, or a null value, the � JSON has two types of null value. After reaching out it became clear to me that the issue here wasn’t specific to Go, but rather a shortcoming of JSON used in conjunction with any typed language. In JSON there are effectively two types of null. When the key is provided, and the value is explicitly stated as null.

Comments
  • Tell us what does a_id should contain, a single value or an array of inner a_id(s)
  • A single value (a string).
  • Thanks, I swore I tried the same thing but it wouldn't run for me. I guess you don't need an index on 'additionalInfo' since there is always one success below it, right?
  • You don't, in your data under additionalInfo you have successes and errors, and under successes you have a list of itens, so you need the index.