如何从大JSON文档中提取数据？
[英]How do I extract data from a big JSON document?
问题描述
我有一个很大的JSON字符串，我不知道从下面的JSON字符串中提取信息。 我需要获取links属性，但是我有字符串行“ 0”和“ 1”，所以有没有获取所有链接的想法？
"dictationResult": {
"status": "TRANSCRIBED",
"reference": "96b69340-e15b-11e6-b15f-ebe483888f20",
"sequence": 1,
"operating_mode": "accurate",
"channels": {
"caller_audio": {
"errors": [ ],
"lattice": {
"1": {
"links": {
"0": {
"start": 0,
"end": 0.44,
"weight": 0,
"word_confidence": 0.974111,
"best_path": true,
"word": "!ENTER",
"intensity": 0
},
"1": {
"start": 0.44,
"end": 0.62,
"weight": -0.153224,
"word_confidence": 0.674667,
"best_path": true,
"word": "my",
"intensity": 0
},
"2": {
"start": 0.44,
"end": 0.62,
"weight": -1.983807,
"best_path": false,
"word": "!NULL",
"intensity": 0
},
"3": {
"start": 0.44,
"end": 0.62,
"weight": -6.090047,
"best_path": false,
"word": "!PAUSE-FILLER",
"intensity": 0
},
"4": {
"start": 0.44,
"end": 0.62,
"weight": -6.095767,
"best_path": false,
"word": "I've",
"intensity": 0
},
"5": {
"start": 0.62,
"end": 0.94,
"weight": -0.903016,
"best_path": true,
"word": "!NULL",
"intensity": 0
},
"6": {
"start": 0.62,
"end": 0.94,
"weight": -1.021551,
"best_path": false,
"word": "heart",
"intensity": 0
},
"7": {
"start": 0.62,
"end": 0.94,
"weight": -1.593481,
"best_path": false,
"word": "God",
"intensity": 0
},
"8": {
"start": 0.62,
"end": 0.94,
"weight": -4.525031,
"best_path": false,
"word": "mother",
"intensity": 0
},
"9": {
"start": 0.62,
"end": 0.94,
"weight": -4.587421,
"best_path": false,
"word": "partner",
"intensity": 0
},
"10": {
"start": 0.62,
"end": 0.94,
"weight": -4.901502,
"best_path": false,
"word": "daughter",
"intensity": 0
},
"11": {
"start": 0.62,
"end": 0.94,
"weight": -5.825034,
"best_path": false,
"word": "wife",
"intensity": 0
},
"12": {
"start": 0.94,
"end": 1.04,
"weight": -0.764942,
"word_confidence": 0.229834,
"best_path": true,
"word": "!SILENCE",
"intensity": 0
},
"13": {
"start": 0.94,
"end": 1.04,
"weight": -1.179495,
"best_path": false,
"word": "!NULL",
"intensity": 0
},
"14": {
"start": 0.94,
"end": 1.04,
"weight": -2.148265,
"best_path": false,
"word": "my",
"intensity": 0
},
"15": {
"start": 0.94,
"end": 1.04,
"weight": -2.294212,
"best_path": false,
"word": "got",
"intensity": 0
},
"16": {
"start": 0.94,
"end": 1.04,
"weight": -4.637921,
"best_path": false,
"word": "drive",
"intensity": 0
},
"17": {
"start": 1.04,
"end": 1.1,
"weight": -0.003238,
"best_path": true,
"word": "!NULL",
"intensity": 0
},
"18": {
"start": 1.04,
"end": 1.1,
"weight": -5.734553,
"best_path": false,
"word": "!SILENCE",
"intensity": 0
},
"19": {
"start": 1.1,
"end": 1.32,
"weight": 0,
"word_confidence": 0.951371,
"best_path": true,
"word": "my",
"intensity": 0
},
"20": {
"start": 1.32,
"end": 1.58,
"weight": -0.00059,
"word_confidence": 0.950269,
"best_path": true,
"word": "dog",
"intensity": 0
},
"21": {
"start": 1.32,
"end": 1.58,
"weight": -7.43585,
"best_path": false,
"word": "dad",
"intensity": 0
},
"22": {
"start": 1.58,
"end": 1.74,
"weight": -0.039555,
"word_confidence": 0.704629,
"best_path": true,
"word": "was",
"intensity": 0
},
"23": {
"start": 1.58,
"end": 1.74,
"weight": -3.249785,
"best_path": false,
"word": "were",
"intensity": 0
},
"24": {
"start": 1.74,
"end": 2.2,
"weight": -0.041701,
"word_confidence": 0.670428,
"best_path": true,
"word": "stolen",
"intensity": 0
},
"25": {
"start": 1.74,
"end": 2.2,
"weight": -3.252876,
"best_path": false,
"word": "stalling",
"intensity": 0
},
"26": {
"start": 1.74,
"end": 2.2,
"weight": -6.127987,
"best_path": false,
"word": "told",
"intensity": 0
},
"27": {
"start": 2.2,
"end": 2.675,
"weight": 0,
"word_confidence": 0.944035,
"best_path": true,
"word": "!EXIT",
"intensity": 0
}
}
}
},
"partial_lattice": {
"1": {
"links": {
"0": {
"start": 0,
"end": 0.44,
"weight": 0,
"word_confidence": 0.974111,
"best_path": true,
"word": "!ENTER",
"intensity": 0
},
"1": {
"start": 0.44,
"end": 0.62,
"weight": -0.153224,
"word_confidence": 0.674667,
"best_path": true,
"word": "my",
"intensity": 0
},
"2": {
"start": 0.44,
"end": 0.62,
"weight": -1.983807,
"best_path": false,
"word": "!NULL",
"intensity": 0
},
"3": {
"start": 0.44,
"end": 0.62,
"weight": -6.090047,
"best_path": false,
"word": "!PAUSE-FILLER",
"intensity": 0
},
"4": {
"start": 0.44,
"end": 0.62,
"weight": -6.095767,
"best_path": false,
"word": "I've",
"intensity": 0
},
"5": {
"start": 0.62,
"end": 0.94,
"weight": -0.903016,
"best_path": true,
"word": "!NULL",
"intensity": 0
},
"6": {
"start": 0.62,
"end": 0.94,
"weight": -1.021551,
"best_path": false,
"word": "heart",
"intensity": 0
},
"7": {
"start": 0.62,
"end": 0.94,
"weight": -1.593481,
"best_path": false,
"word": "God",
"intensity": 0
},
"8": {
"start": 0.62,
"end": 0.94,
"weight": -4.525031,
"best_path": false,
"word": "mother",
"intensity": 0
},
"9": {
"start": 0.62,
"end": 0.94,
"weight": -4.587421,
"best_path": false,
"word": "partner",
"intensity": 0
},
"10": {
"start": 0.62,
"end": 0.94,
"weight": -4.901502,
"best_path": false,
"word": "daughter",
"intensity": 0
},
"11": {
"start": 0.62,
"end": 0.94,
"weight": -5.825034,
"best_path": false,
"word": "wife",
"intensity": 0
},
"12": {
"start": 0.94,
"end": 1.04,
"weight": -0.764942,
"word_confidence": 0.229834,
"best_path": true,
"word": "!SILENCE",
"intensity": 0
},
"13": {
"start": 0.94,
"end": 1.04,
"weight": -1.179495,
"best_path": false,
"word": "!NULL",
"intensity": 0
},
"14": {
"start": 0.94,
"end": 1.04,
"weight": -2.148265,
"best_path": false,
"word": "my",
"intensity": 0
},
"15": {
"start": 0.94,
"end": 1.04,
"weight": -2.294212,
"best_path": false,
"word": "got",
"intensity": 0
},
"16": {
"start": 0.94,
"end": 1.04,
"weight": -4.637921,
"best_path": false,
"word": "drive",
"intensity": 0
},
"17": {
"start": 1.04,
"end": 1.1,
"weight": -0.003238,
"best_path": true,
"word": "!NULL",
"intensity": 0
},
"18": {
"start": 1.04,
"end": 1.1,
"weight": -5.734553,
"best_path": false,
"word": "!SILENCE",
"intensity": 0
},
"19": {
"start": 1.1,
"end": 1.32,
"weight": 0,
"word_confidence": 0.951371,
"best_path": true,
"word": "my",
"intensity": 0
},
"20": {
"start": 1.32,
"end": 1.58,
"weight": -0.00059,
"word_confidence": 0.950269,
"best_path": true,
"word": "dog",
"intensity": 0
},
"21": {
"start": 1.32,
"end": 1.58,
"weight": -7.43585,
"best_path": false,
"word": "dad",
"intensity": 0
},
"22": {
"start": 1.58,
"end": 1.74,
"weight": -0.039555,
"word_confidence": 0.704629,
"best_path": true,
"word": "was",
"intensity": 0
},
"23": {
"start": 1.58,
"end": 1.74,
"weight": -3.249785,
"best_path": false,
"word": "were",
"intensity": 0
},
"24": {
"start": 1.74,
"end": 2.2,
"weight": -0.041701,
"word_confidence": 0.670428,
"best_path": true,
"word": "stolen",
"intensity": 0
},
"25": {
"start": 1.74,
"end": 2.2,
"weight": -3.252876,
"best_path": false,
"word": "stalling",
"intensity": 0
},
"26": {
"start": 1.74,
"end": 2.2,
"weight": -6.127987,
"best_path": false,
"word": "told",
"intensity": 0
},
"27": {
"start": 2.2,
"end": 2.675,
"weight": 0,
"word_confidence": 0.944035,
"best_path": true,
"word": "!EXIT",
"intensity": 0
}
}
}
}
}
}
}
1 个解决方案
解决方案1
0 2017-05-25 06:47:38
你可以简单地通过调用fromJson（）和的toJSON（）该库的方法尝试很容易使用谷歌的GSON库解析JSON，它将解析Java对象的JSON和JSON对象到Java https://sites.google.com/site / GSON / GSON用户导
Gson gson = new Gson();
// 1. JSON to Java object, read it from a file.
Staff staff = gson.fromJson(new FileReader("D:\\file.json"), Staff.class);
// 2. JSON to Java object, read it from a Json String.
String jsonInString = "{'name' : 'pravin'}";
Staff staff = gson.fromJson(jsonInString, Staff.class);
// JSON to JsonElement, convert to String later.
JsonElement json = gson.fromJson(new FileReader("D:\\file.json"), JsonElement.class);
String result = gson.toJson(json);
如何从 Json 中提取价值
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