Convert (compress) formatted JSON string to 1-line JSON

I checked the method when converting (compressing) JSON character string to 1 line JSON, so make a note.

Method

The following two methods will be introduced.

• Python --jq command

Assuming the following JSON character string described in the file.

file.py

{
    "Records": [
        {
            "database": {
                "NewImage": {
                    "eventId": {
                        "S": "a4207f7a-5f04-471b-a338-1175182eaa6d"
                    },
                    "isCompleted": {
                        "BOOL": True
                    }
                },
                "OldImage": {
                    "eventId": {
                        "S": "a4207f7a-5f04-471b-a338-1175182eaa6d"
                    },
                    "isCompleted": {
                        "BOOL": False
                    }
                }
            }
        }
    ]
}

Method 1: Use Python

$ python
>>> import json
>>> f = open("file.json")
>>> json.dumps(f.read()).replace("\\n","").replace("\\","").replace("    ", "")
'"{"Records": [{"database": {"NewImage": {"eventId": {"S": "a4207f7a-5f04-471b-a338-1175182eaa6d"},"isCompleted": {"BOOL": True}},"OldImage": {"eventId": {"S": "a4207f7a-5f04-471b-a338-1175182eaa6d"},"isCompleted": {"BOOL": False}}}}]}"'

In .replace ("", "") , the indent (space`` 4) is replaced and deleted. If a different character string is indented in the JSON character string, the replacement source of this part should be changed.

Method 2: Use the jq command

Basically, cat <filename> | jq -c can be used.

However, jq cannot handle True and False as boolean, so if you try to execute it as it is for this file.json, the following error will occur.

$ cat file.json | jq -c
parse error: Invalid numeric literal at line 11, column 0

Therefore, it is necessary to change True to true and False to false in advance. If file.json is modified in advance, it can be executed as follows.

$ cat file.json | jq -c
{"Records":[{"database":{"NewImage":{"eventId":{"S":"a4207f7a-5f04-471b-a338-1175182eaa6d"},"isCompleted":{"BOOL":true}},"OldImage":{"eventId":{"S":"a4207f7a-5f04-471b-a338-1175182eaa6d"},"isCompleted":{"BOOL":false}}}}]}

that's all