{ "response": { "version": "0.1"
"termsofService": "http://www.wunderground.com/weather/api/d/terms.html"
"features": { "geolookup": 1
"conditions": 1
"forecast": 1 } }
"location": { "type":"INTLCITY"
"country":"IN"
"country_iso3166":"IN"
"country_name":"India"
"state":""
"city":"Mumbai"
"tz_short":"IST"
"tz_long":"Asia/Kolkata"
"lat":"19.12000084"
"lon":"72.84999847"
"zip":"00000"
"magic":"1"
"wmo":"43003"
"l":"/q/zmw:00000.1.43003"
"requesturl":"global/stations/43003.html"
"wuiurl":"http://www.wunderground.com/global/stations/43003.html"
"nearby_weather_stations": { "airport": { "station": [ { "city":"Mumbai / Santacruz"
"state":""
"country":"India"
"icao":"VABB"
"lat":"19.11666679"
"lon":"72.84999847" }
{ "city":"Mumbai"
"state":""
"country":"IN"
"icao":"VABB"
"lat":"19.12000084"
"lon":"72.84999847" } ] }
"pws": { "station": [ ] } } }
"current_observation": { "image": { "url":"http://icons-ak.wxug.com/graphics/wu2/logo_130x80.png"
"title":"Weather Underground"
"link":"http://www.wunderground.com" }
"display_location": { "full":"Mumbai
India"
"city":"Mumbai"
"state":""
"state_name":"India"
"country":"IN"
"country_iso3166":"IN"
"zip":"00000"
"latitude":"19.12000084"
"longitude":"72.84999847"
"elevation":"14.00000000" }
"observation_location": { "full":"Mumbai
"
"city":"Mumbai"
"state":""
"country":"IN"
"country_iso3166":"IN"
"latitude":"19.12000084"
"longitude":"72.84999847"
"elevation":"46 ft" }
"estimated": { }
"station_id":"VABB"
"observation_time":"Last Updated on February 16
5:10 PM IST"
"observation_time_rfc822":"Sat
16 Feb 2013 17:10:00 +0530"
"observation_epoch":"1361014800"
"local_time_rfc822":"Sat
16 Feb 2013 17:25:20 +0530"
"local_epoch":"1361015720"
"local_tz_short":"IST"
"local_tz_long":"Asia/Kolkata"
"local_tz_offset":"+0530"
"weather":"Clear"
"temperature_string":"77 F (25 C)"
"temp_f":77
"temp_c":25
"relative_humidity":"54%"
"wind_string":"From the WNW at 8 MPH"
"wind_dir":"WNW"
"wind_degrees":290
"wind_mph":8
"wind_gust_mph":0
"wind_kph":13
"wind_gust_kph":0
"pressure_mb":"1008"
"pressure_in":"29.77"
"pressure_trend":"0"
"dewpoint_string":"59 F (15 C)"
"dewpoint_f":59
"dewpoint_c":15
"heat_index_string":"NA"
"heat_index_f":"NA"
"heat_index_c":"NA"
"windchill_string":"NA"
"windchill_f":"NA"
"windchill_c":"NA"
"feelslike_string":"77 F (25 C)"
"feelslike_f":"77"
"feelslike_c":"25"
"visibility_mi":"3.7"
"visibility_km":"6.0"
"solarradiation":""
"UV":"-1"
"precip_1hr_string":"-9999.00 in (-9999.00 mm)"
"precip_1hr_in":"-9999.00"
"precip_1hr_metric":"-9999.00"
"precip_today_string":"0.00 in (0.0 mm)"
"precip_today_in":"0.00"
"precip_today_metric":"0.0"
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"forecast_url":"http://www.wunderground.com/global/stations/43003.html"
"history_url":"http://www.wunderground.com/history/airport/VABB/2013/2/16/DailyHistory.html"
"ob_url":"http://www.wunderground.com/cgi-bin/findweather/getForecast?query=19.12000084
72.84999847" }
"forecast":{ "txt_forecast": { "date":"5:30 AM IST"
"forecastday": [ { "period":0
"icon":"chancerain"
"icon_url":"http://icons-ak.wxug.com/i/c/k/chancerain.gif"
"title":"Saturday"
"fcttext":"Partly cloudy with a chance of rain in the morning
then clear. High of 81F. Winds from the WNW at 10 to 15 mph. Chance of rain 30%."
"fcttext_metric":"Partly cloudy with a chance of rain in the morning
then clear. High of 27C. Breezy. Winds from the WNW at 15 to 25 km/h. Chance of rain 30%."
"pop":"30" }
{ "period":1
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Saturday Night"
"fcttext":"Clear. Low of 68F. Winds less than 5 mph."
"fcttext_metric":"Clear. Low of 20C. Winds less than 5 km/h."
"pop":"0" }
{ "period":2
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Sunday"
"fcttext":"Clear. High of 82F. Winds from the NE at 5 to 15 mph shifting to the WNW in the afternoon."
"fcttext_metric":"Clear. High of 28C. Winds from the NE at 5 to 20 km/h shifting to the WNW in the afternoon."
"pop":"0" }
{ "period":3
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Sunday Night"
"fcttext":"Clear. Low of 66F. Winds from the NNE at 5 to 10 mph."
"fcttext_metric":"Clear. Low of 19C. Winds from the NNE at 10 to 15 km/h."
"pop":"0" }
{ "period":4
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Monday"
"fcttext":"Clear. High of 88F. Winds from the NNE at 5 to 15 mph shifting to the NW in the afternoon."
"fcttext_metric":"Clear. High of 31C. Breezy. Winds from the NNE at 10 to 20 km/h shifting to the NW in the afternoon."
"pop":"0" }
{ "period":5
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Monday Night"
"fcttext":"Clear. Low of 63F. Winds from the NNE at 5 to 10 mph."
"fcttext_metric":"Clear. Low of 17C. Winds from the NNE at 5 to 15 km/h."
"pop":"0" }
{ "period":6
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Tuesday"
"fcttext":"Clear. High of 90F. Winds from the North at 5 to 10 mph shifting to the WNW in the afternoon."
"fcttext_metric":"Clear. High of 32C. Winds from the North at 5 to 20 km/h shifting to the WNW in the afternoon."
"pop":"0" }
{ "period":7
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"title":"Tuesday Night"
"fcttext":"Clear. Low of 72F. Winds from the North at 5 to 10 mph."
"fcttext_metric":"Clear. Low of 22C. Winds from the North at 5 to 15 km/h."
"pop":"0" } ] }
"simpleforecast": { "forecastday": [ {"date":{ "epoch":"1361037600"
"pretty":"11:30 PM IST on February 16
2013"
"day":16
"month":2
"year":2013
"yday":46
"hour":23
"min":"30"
"sec":0
"isdst":"0"
"monthname":"February"
"weekday_short":"Sat"
"weekday":"Saturday"
"ampm":"PM"
"tz_short":"IST"
"tz_long":"Asia/Kolkata"}
"period":1
"high": { "fahrenheit":"81"
"celsius":"27" }
"low": { "fahrenheit":"68"
"celsius":"20" }
"conditions":"Chance of Rain"
"icon":"chancerain"
"icon_url":"http://icons-ak.wxug.com/i/c/k/chancerain.gif"
"skyicon":"mostlysunny"
"pop":30
"qpf_allday": { "in": 0.01
"mm": 0.3 }
"qpf_day": { "in": 0.00
"mm": 0.0 }
"qpf_night": { "in": 0.00
"mm": 0.0 }
"snow_allday": { "in": 0
"cm": 0 }
"snow_day": { "in": 0
"cm": 0 }
"snow_night": { "in": 0
"cm": 0 }
"maxwind": { "mph": 14
"kph": 22
"dir": "WNW"
"degrees": 294 }
"avewind": { "mph": 12
"kph": 19
"dir": "WNW"
"degrees": 295 }
"avehumidity": 53
"maxhumidity": 72
"minhumidity": 49 }
{"date":{ "epoch":"1361124000"
"pretty":"11:30 PM IST on February 17
2013"
"day":17
"month":2
"year":2013
"yday":47
"hour":23
"min":"30"
"sec":0
"isdst":"0"
"monthname":"February"
"weekday_short":"Sun"
"weekday":"Sunday"
"ampm":"PM"
"tz_short":"IST"
"tz_long":"Asia/Kolkata"}
"period":2
"high": { "fahrenheit":"82"
"celsius":"28" }
"low": { "fahrenheit":"66"
"celsius":"19" }
"conditions":"Clear"
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"skyicon":"sunny"
"pop":0
"qpf_allday": { "in": 0.00
"mm": 0.0 }
"qpf_day": { "in": 0.00
"mm": 0.0 }
"qpf_night": { "in": 0.00
"mm": 0.0 }
"snow_allday": { "in": 0
"cm": 0 }
"snow_day": { "in": 0
"cm": 0 }
"snow_night": { "in": 0
"cm": 0 }
"maxwind": { "mph": 11
"kph": 18
"dir": "NW"
"degrees": 306 }
"avewind": { "mph": 8
"kph": 13
"dir": "WSW"
"degrees": 238 }
"avehumidity": 55
"maxhumidity": 64
"minhumidity": 39 }
{"date":{ "epoch":"1361210400"
"pretty":"11:30 PM IST on February 18
2013"
"day":18
"month":2
"year":2013
"yday":48
"hour":23
"min":"30"
"sec":0
"isdst":"0"
"monthname":"February"
"weekday_short":"Mon"
"weekday":"Monday"
"ampm":"PM"
"tz_short":"IST"
"tz_long":"Asia/Kolkata"}
"period":3
"high": { "fahrenheit":"88"
"celsius":"31" }
"low": { "fahrenheit":"63"
"celsius":"17" }
"conditions":"Clear"
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"skyicon":"sunny"
"pop":0
"qpf_allday": { "in": 0.00
"mm": 0.0 }
"qpf_day": { "in": 0.00
"mm": 0.0 }
"qpf_night": { "in": 0.00
"mm": 0.0 }
"snow_allday": { "in": 0
"cm": 0 }
"snow_day": { "in": 0
"cm": 0 }
"snow_night": { "in": 0
"cm": 0 }
"maxwind": { "mph": 12
"kph": 19
"dir": "NW"
"degrees": 310 }
"avewind": { "mph": 9
"kph": 14
"dir": "SW"
"degrees": 235 }
"avehumidity": 44
"maxhumidity": 62
"minhumidity": 30 }
{"date":{ "epoch":"1361296800"
"pretty":"11:30 PM IST on February 19
2013"
"day":19
"month":2
"year":2013
"yday":49
"hour":23
"min":"30"
"sec":0
"isdst":"0"
"monthname":"February"
"weekday_short":"Tue"
"weekday":"Tuesday"
"ampm":"PM"
"tz_short":"IST"
"tz_long":"Asia/Kolkata"}
"period":4
"high": { "fahrenheit":"90"
"celsius":"32" }
"low": { "fahrenheit":"72"
"celsius":"22" }
"conditions":"Clear"
"icon":"clear"
"icon_url":"http://icons-ak.wxug.com/i/c/k/clear.gif"
"skyicon":"sunny"
"pop":0
"qpf_allday": { "in": 0.00
"mm": 0.0 }
"qpf_day": { "in": 0.00
"mm": 0.0 }
"qpf_night": { "in": 0.00
"mm": 0.0 }
"snow_allday": { "in": 0
"cm": 0 }
"snow_day": { "in": 0
"cm": 0 }
"snow_night": { "in": 0
"cm": 0 }
"maxwind": { "mph": 10
"kph": 16
"dir": "WNW"
"degrees": 302 }
"avewind": { "mph": 8
"kph": 13
"dir": "West"
"degrees": 272 }
"avehumidity": 46
"maxhumidity": 51
"minhumidity": 30 } ] } }}
---------------------------
mph: 8,
{ "response": { "version": "0.1"
"termsofService": "http://www.wunderground.com/weather/api/d/terms.html"
"features": { "geolookup": 1
"conditions": 1
"forecast": 1 } }
"location": { "type":"INTLCITY"
"country":"AU"
"country_iso3166":"AU"
"country_name":"Australia"
"state":"NW"
"city":"Sydney"
"tz_short":"EST"
"tz_long":"Australia/Sydney"
"lat":"-33.95000076"
"lon":"151.17999268"
"zip":"00000"
"magic":"1"
"wmo":"94767"
"l":"/q/zmw:00000.1.94767"
"requesturl":"global/stations/94767.html"
"wuiurl":"http://www.wunderground.com/global/stations/94767.html"
"nearby_weather_stations": { "airport": { "station": [ { "city":"Sydney Airport"
"state":""
"country":"Australia"
"icao":"YSSY"
"lat":"-33.95000076"
"lon":"151.18333435" }
{ "city":"Sydney"
"state":""
"country":"AU"
"icao":"YSSY"
"lat":"-33.95000076"
"lon":"151.17999268" }
{ "city":"Richmond (NSW)"
"state":""
"country":"AU"
"icao":"YSRI"
"lat":"-33.59999847"
"lon":"150.77999878" } ] }
"pws": { "station": [ { "neighborhood":"Matraville"
"city":"Sydney"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWMATR2"
"lat":-33.957550
"lon":151.230850
"distance_km":4
"distance_mi":2 }
{ "neighborhood":"Bardwell Park"
"city":"Sydney"
"state":"New South Wales"
"country":"AUSTRALIA"
"id":"INEWSOUT37"
"lat":-33.938381
"lon":151.124359
"distance_km":5
"distance_mi":3 }
{ "neighborhood":"APRSWXNET Sydney AU"
"city":"Little Bay"
"state":"NW"
"country":"AU"
"id":"MD5399"
"lat":-33.958500
"lon":151.240677
"distance_km":5
"distance_mi":3 }
{ "neighborhood":""
"city":"Pyrmont"
"state":"NEW SOUTH WALES"
"country":"AUSTRALIA"
"id":"INEWSOUT155"
"lat":-33.871807
"lon":151.194977
"distance_km":8
"distance_mi":5 }
{ "neighborhood":"Woolloomooloo"
"city":"Woolloomooloo"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWWOOL3"
"lat":-33.874527
"lon":151.220734
"distance_km":9
"distance_mi":5 }
{ "neighborhood":"Old\u0027s Park"
"city":"Penshurst"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWPENS2"
"lat":-33.958290
"lon":-208.924866
"distance_km":9
"distance_mi":5 }
{ "neighborhood":"Searl Road"
"city":"Cronulla"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWCRON2"
"lat":-34.052074
"lon":151.148605
"distance_km":11
"distance_mi":7 }
{ "neighborhood":"Cronulla - Cecil Apartments"
"city":"Cronulla - Sydney"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWSYDN19"
"lat":-34.054329
"lon":151.153656
"distance_km":11
"distance_mi":7 }
{ "neighborhood":"The Shire - Caringbah South"
"city":"Sydney"
"state":"New South Wales"
"country":"Australia"
"id":"INSWCARI2"
"lat":-34.048203
"lon":151.120697
"distance_km":12
"distance_mi":7 }
{ "neighborhood":"Kareela"
"city":"Kareela"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWKIRR2"
"lat":-34.020538
"lon":151.075287
"distance_km":12
"distance_mi":7 }
{ "neighborhood":"Caringbah South"
"city":"Caringbah South"
"state":"NSW"
"country":"AUSTRALIA"
"id":"INSWCARI3"
"lat":-34.054550
"lon":151.115799
"distance_km":13
"distance_mi":7 }
{ "neighborhood":"Sutherland Shire"
"city":"Caringbah South"
"state":"NEW SOUTH WALES"
"country":"Australia"
"id":"INEWSOUT125"
"lat":-34.059315
"lon":151.117416
"distance_km":13
"distance_mi":8 }
{ "neighborhood":"Lower North Shore"
"city":"Linley Point (Lane Cove)"
"state":"NEW SOUTH WALES"
"country":"AUSTRALIA"
"id":"INEWSOUT83"
"lat":-33.826977
"lon":151.151077
"distance_km":13
"distance_mi":8 }
{ "neighborhood":"Gymea Bay South of Sydney near Royal National Park"
"city":"Sydney"
"state":"NSW"
"country":"Australia"
"id":"ISYDNEY2"
"lat":-34.047691
"lon":151.079971
"distance_km":14
"distance_mi":8 }
{ "neighborhood":"Willoughby"
[some more text here]
---------------------------
mph: 7,
这是Weather Underground对两个不同城市的回复。在孟买的情况下，它只提供有关一个城市的数据，但在悉尼的情况下，它提供了悉尼周围许多地方的数据。
我希望能够以一致的方式从此JSON回复中提取信息。到目前为止，我使用String方法进行一些不太可靠的提取
我该怎么做呢？
package test;
import java.net.*;
import java.io.*;
import org.apache.commons.lang3.text.WordUtils;
import com.google.gson.*;
import com.google.gson.stream.JsonReader;
public class TestGson {
URL callToApi;
//------------------------------------------------------------------------------
public static void main(String[] args) {
new TestGson();
}
//------------------------------------------------------------------------------
public TestGson(){
try{
sendCallToApi();
readJson();
}catch(IOException e){
e.printStackTrace();
}
}
//------------------------------------------------------------------------------
public void sendCallToApi(){
try{
callToApi = new URL("http://api.wunderground.com/api" +
"/[API KEY HERE]" +
"/geolookup/conditions/forecast/q/" +
"Australia/" +
"Sydney.json");
}catch(MalformedURLException e){
e.printStackTrace();
}
}
//------------------------------------------------------------------------------
public void readJson() throws IOException{
Gson g = new Gson();
String wdf = null;
InputStreamReader in = new InputStreamReader(callToApi.openStream());
BufferedReader reader = new BufferedReader(in);
String message = "hello";
StringBuffer buf = new StringBuffer();
while(true){
message = reader.readLine();
if(message == null){
break;
}else{
if(message.contains("mph")){
wdf = message;
}
buf.append(message);
}
}
message = buf.toString();
System.out.println(message.replaceAll(",","\n"));
System.out.println("---------------------------");
wdf = wdf.replace("\"", "");
System.out.println(wdf);
}
//------------------------------------------------------------------------------
}
答案 0 :(得分：1)
JSON是一个序列化对象 - 这意味着它非常适合反序列化。这允许您将JSON转换为可以随意查询的java对象 首先你需要一个合适的java bean - 你的JSON结构很简单，所以不应该很难 然后，您可以使用Jackson之类的工具来读取数据并将其放到bean上。