特殊的JSON串的解析

 JSON的解析，现在大概奇怪的JSON串遇到全了，遂总结一下（都是使用系统自带的JSONObject来解析的）：

首先，要记住JSON的样式：[ ]里面的对象是JSONArray，{ }里面的对象是JSONObject。

其实很好记，就是数组么，array么，然后是String [] test，是不是就好记忆了。

好的，进入正题。  

1）没有name的JSONObject，取出期中的特定字段。（这个奇特的JSON是请求GoogleMapAPI返回的），这里是想要取出市级行政区划。

{

    "results": [
        {
            "address_components": [
                {
                    "long_name": "安家楼村路",
                    "short_name": "安家楼村路",
                    "types": [
                        "route"
                    ]
                },
                {
                    "long_name": "三元桥",
                    "short_name": "三元桥",
                    "types": [
                        "neighborhood",
                        "political"
                    ]
                },
                {
                    "long_name": "朝阳区",
                    "short_name": "朝阳区",
                    "types": [
                        "sublocality_level_1",
                        "sublocality",
                        "political"
                    ]
                },
                {
                    "long_name": "北京",
                    "short_name": "北京",
                    "types": [
                        "locality",
                        "political"
                    ]
                },
                {
                    "long_name": "北京市",
                    "short_name": "北京市",
                    "types": [
                        "administrative_area_level_1",
                        "political"
                    ]
                },
                {
                    "long_name": "中国",
                    "short_name": "CN",
                    "types": [
                        "country",
                        "political"
                    ]
                }
            ],
            "formatted_address": "中国北京市朝阳区三元桥安家楼村路",
            "geometry": {
                "bounds": {
                    "northeast": {
                        "lat": 39.9620476,
                        "lng": 116.4764262
                    },
                    "southwest": {
                        "lat": 39.9601989,
                        "lng": 116.4761478
                    }
                },
                "location": {
                    "lat": 39.9611107,
                    "lng": 116.4764139
                },
                "location_type": "APPROXIMATE",
                "viewport": {
                    "northeast": {
                        "lat": 39.9624722302915,
                        "lng": 116.4776359802915
                    },
                    "southwest": {
                        "lat": 39.9597742697085,
                        "lng": 116.4749380197085
                    }
                }
            },
            "types": [
                "route"
            ]
        },
        {
            "address_components": [
                {
                    "long_name": "三元桥",
                    "short_name": "三元桥",
                    "types": [
                        "neighborhood",
                        "political"
                    ]
                },
                {
                    "long_name": "朝阳区",
                    "short_name": "朝阳区",
                    "types": [
                        "sublocality_level_1",
                        "sublocality",
                        "political"
                    ]
                },
                {
                    "long_name": "北京",
                    "short_name": "北京",
                    "types": [
                        "locality",
                        "political"
                    ]
                },
                {
                    "long_name": "北京市",
                    "short_name": "北京市",
                    "types": [
                        "administrative_area_level_1",
                        "political"
                    ]
                },
                {
                    "long_name": "中国",
                    "short_name": "CN",
                    "types": [
                        "country",
                        "political"
                    ]
                }
            ],
            "formatted_address": "中国北京市朝阳区三元桥",
            "geometry": {
                "bounds": {
                    "northeast": {
                        "lat": 39.9732719,
                        "lng": 116.4892288
                    },
                    "southwest": {
                        "lat": 39.948494,
                        "lng": 116.4524354
                    }
                },
                "location": {
                    "lat": 39.957302,
                    "lng": 116.454421
                },
                "location_type": "APPROXIMATE",
                "viewport": {
                    "northeast": {
                        "lat": 39.9732719,
                        "lng": 116.4892288
                    },
                    "southwest": {
                        "lat": 39.948494,
                        "lng": 116.4524354
                    }
                }
            },
            "types": [
                "country",
                "political"
            ]
        }
    ],
    "status": "OK"
}

这个JSON串奇特的地方在于，他的JSONArray是没有name的，观察发现，行政区域是通过types参数的区分的，

所以要取出这个北京市的，所属types是"administrative_area_level_1","political"

那么就这样解析吧：

拿到这个JsonObject，然后for循环看看他的types是不是我们的目标，如果是，提取出这个JO里面的目标参数，深红色部分为核心。

2）是没key的JSONArray，样式是{v,v,v,v,v,v,vv,v,}

如下，像下面一个没有key,只有value，需要取出的是一个data的JA里面的string[],用optString()方法。

解析，因为是数组对象，所以放置解析出来的用的是arrayList，一个个的add 进去就好了：

3）第三种，好像就是常规的那些，有{K:V;K:V;},那种就是常规的拿到拿到JA然后拿到JO，然后就是JO.getString("K");这样了。

PS：也许还有其他的奇特的JSON，欢迎留言补充。