Получение нулевых значений при отображении JSON в POJO

Question

Я пытаюсь отобразить JSON в POJO, используя Джексона.Однако, поскольку этот JSON содержит вложенную карту объектов, при десериализации его в POJO информация временных рядов не преобразуется в POJO.Я могу получить только часть метаданных и часть даты в блоке временных рядов.Другие поля в блоке временных рядов, такие как open, high и low, всегда равны нулю.

Кажется, что Джексон не может сопоставить поля с классом TimeSeries.Может кто-нибудь сказать, пожалуйста, как мне это сделать или указать мне в правильном направлении.Или, если есть какой-то другой лучший способ сделать это.Спасибо!

Вот пример JSON

{
"Meta Data": {
    "1. Information": "Daily Prices (open, high, low, close) and Volumes",
    "2. Symbol": "MSFT",
    "3. Last Refreshed": "2019-02-15",
    "4. Output Size": "Compact",
    "5. Time Zone": "US/Eastern"
},
"Time Series (Daily)": {
    "2019-02-15": {
        "1. open": "107.9100",
        "2. high": "108.3000",
        "3. low": "107.3624",
        "4. close": "108.2200",
        "5. volume": "26606886"
    },
    "2019-02-14": {
        "1. open": "106.3100",
        "2. high": "107.2900",
        "3. low": "105.6600",
        "4. close": "106.9000",
        "5. volume": "21784703"
    }
 }
}

Теперь, чтобы отобразить этот JSON, я создал эти POJO

@JsonIgnoreProperties(ignoreUnknown = true)
public class HistoricalStock {
@JsonProperty("Meta Data")
private MetaData metadata;

private Map<String, TimeSeriesInfo> stockDailyData = new HashMap<String, TimeSeriesInfo>();

public HistoricalStock() {
}

public MetaData getMetadata() {
    return metadata;
}

public void setMetadata(MetaData metadata) {
    this.metadata = metadata;
}

@JsonAnyGetter
public Map<String, TimeSeriesInfo> getStockDailyData() {
    return stockDailyData;
}

@JsonAnySetter
public void setStockDailyData(String date, TimeSeriesInfo stockInfo) {
    this.stockDailyData.put(date, stockInfo);
}

@Override
public String toString() {
    return "HistoricalStock [metadata=" + metadata + ", stockDailyData=" + stockDailyData + "]";
}

}

И этокод для десериализации JSON с использованием Джексона.

String fooResourceUrl = "https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol=MSFT&apikey=DEMO";
        ResponseEntity<String> response = restTemplate.getForEntity(fooResourceUrl + "/1", String.class);
        ObjectMapper customMapper = new ObjectMapper();

        try {
            HistoricalStock msft = customMapper.readValue(response.getBody(), HistoricalStock.class);
            System.out.println(msft.getMetadata());
            System.out.println(msft.getStockDailyData().toString());

        } catch (IOException ioException) {
            ioException.printStackTrace();
        }

Вот код для класса TimeSeries

@JsonIgnoreProperties(ignoreUnknown = true)
public class TimeSeriesInfo {
@JsonProperty("1. open")
private Double openingPrice;

@JsonProperty("2. high")
private Double highestPrice;

@JsonProperty("3. low")
private Double lowestPrice;

@JsonProperty("4. close")
private Double closingPrice;

@JsonProperty("5. volume")
private Long volume;

public TimeSeriesInfo() {
}

public Double getOpeningPrice() {
    return openingPrice;
}

public void setOpeningPrice(Double openingPrice) {
    this.openingPrice = openingPrice;
}

public Double getHighestPrice() {
    return highestPrice;
}

public void setHighestPrice(Double highestPrice) {
    this.highestPrice = highestPrice;
}

public Double getLowestPrice() {
    return lowestPrice;
}

public void setLowestPrice(Double lowestPrice) {
    this.lowestPrice = lowestPrice;
}

public Double getClosingPrice() {
    return closingPrice;
}

public void setClosingPrice(Double closingPrice) {
    this.closingPrice = closingPrice;
}

public Long getVolume() {
    return volume;
}

public void setVolume(Long volume) {
    this.volume = volume;
}

@Override
public String toString() {
    return "TimeSeries [openingPrice=" + openingPrice + ", highestPrice=" + highestPrice + ", lowestPrice="
            + lowestPrice + ", closingPrice=" + closingPrice + ", volume=" + volume + "]";
    }

}

Answer 1

В этом конкретном примере вам не нужно использовать аннотации @JsonAnyGetter и @JsonAnySetter.Просто создайте свойство Map<String, TimeSeriesInfo>, и оно должно работать без проблем.Также я предлагаю использовать BigDecimal вместо Double и Long.Ниже вы можете найти всю POJO структуру, которая работает должным образом без каких-либо дополнительных аннотаций:

class DailySeries {

    @JsonProperty("Meta Data")
    private Metadata metadata;

    @JsonProperty("Time Series (Daily)")
    private Map<String, Daily> series;

    public Metadata getMetadata() {
        return metadata;
    }

    public void setMetadata(Metadata metadata) {
        this.metadata = metadata;
    }

    public Map<String, Daily> getSeries() {
        return series;
    }

    public void setSeries(Map<String, Daily> series) {
        this.series = series;
    }

    @Override
    public String toString() {
        StringBuilder sb = new StringBuilder();
        String lineSeparator = System.lineSeparator();
        sb.append("metadata=").append(metadata).append(lineSeparator);
        series.forEach((k, s) -> sb.append(k).append(" = ").append(s).append(lineSeparator));

        return sb.toString();
    }
}

class Metadata {

    @JsonProperty("1. Information")
    private String information;

    @JsonProperty("2. Symbol")
    private String symbol;

    @JsonProperty("3. Last Refreshed")
    private String lastRefreshed;

    @JsonProperty("4. Output Size")
    private String outputSize;

    @JsonProperty("5. Time Zone")
    private String timeZone;

    public String getInformation() {
        return information;
    }

    public void setInformation(String information) {
        this.information = information;
    }

    public String getSymbol() {
        return symbol;
    }

    public void setSymbol(String symbol) {
        this.symbol = symbol;
    }

    public String getLastRefreshed() {
        return lastRefreshed;
    }

    public void setLastRefreshed(String lastRefreshed) {
        this.lastRefreshed = lastRefreshed;
    }

    public String getOutputSize() {
        return outputSize;
    }

    public void setOutputSize(String outputSize) {
        this.outputSize = outputSize;
    }

    public String getTimeZone() {
        return timeZone;
    }

    public void setTimeZone(String timeZone) {
        this.timeZone = timeZone;
    }

    @Override
    public String toString() {
        return "Metadata{" +
                "information='" + information + '\'' +
                ", symbol='" + symbol + '\'' +
                ", lastRefreshed='" + lastRefreshed + '\'' +
                ", outputSize='" + outputSize + '\'' +
                ", timeZone='" + timeZone + '\'' +
                '}';
    }
}

class Daily {
    @JsonProperty("1. open")
    private BigDecimal open;

    @JsonProperty("2. high")
    private BigDecimal high;

    @JsonProperty("3. low")
    private BigDecimal low;

    @JsonProperty("4. close")
    private BigDecimal close;

    @JsonProperty("5. volume")
    private BigDecimal volume;

    public BigDecimal getOpen() {
        return open;
    }

    public void setOpen(BigDecimal open) {
        this.open = open;
    }

    public BigDecimal getHigh() {
        return high;
    }

    public void setHigh(BigDecimal high) {
        this.high = high;
    }

    public BigDecimal getLow() {
        return low;
    }

    public void setLow(BigDecimal low) {
        this.low = low;
    }

    public BigDecimal getClose() {
        return close;
    }

    public void setClose(BigDecimal close) {
        this.close = close;
    }

    public BigDecimal getVolume() {
        return volume;
    }

    public void setVolume(BigDecimal volume) {
        this.volume = volume;
    }

    @Override
    public String toString() {
        return "Daily{" +
                "open=" + open +
                ", high=" + high +
                ", low=" + low +
                ", close=" + close +
                ", volume=" + volume +
                '}';
    }
}

Пример использования:

import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.databind.ObjectMapper;

import java.io.File;
import java.math.BigDecimal;
import java.util.Map;

public class JsonApp {

    public static void main(String[] args) throws Exception {
        File jsonFile = new File("./resource/test.json").getAbsoluteFile();

        ObjectMapper mapper = new ObjectMapper();

        System.out.println(mapper.readValue(jsonFile, DailySeries.class));
    }
}

Над кодом работает:

metadata=Metadata{information='Daily Prices (open, high, low, close) and Volumes', symbol='MSFT', lastRefreshed='2019-02-15', outputSize='Compact', timeZone='US/Eastern'}
2019-02-15 = Daily{open=107.9100, high=108.3000, low=107.3624, close=108.2200, volume=26606886}
2019-02-14 = Daily{open=106.3100, high=107.2900, low=105.6600, close=106.9000, volume=21784703}
2019-02-13 = Daily{open=107.5000, high=107.7800, low=106.7100, close=106.8100, volume=18394869}
2019-02-12 = Daily{open=106.1400, high=107.1400, low=105.4800, close=106.8900, volume=25056595}
2019-02-11 = Daily{open=106.2000, high=106.5800, low=104.9650, close=105.2500, volume=18914123}
2019-02-08 = Daily{open=104.3900, high=105.7800, low=104.2603, close=105.6700, volume=21461093}
2019-02-07 = Daily{open=105.1850, high=105.5900, low=104.2900, close=105.2700, volume=29760697}
2019-02-06 = Daily{open=107.0000, high=107.0000, low=105.5300, close=106.0300, volume=20609759}
2019-02-05 = Daily{open=106.0600, high=107.2700, low=105.9600, close=107.2200, volume=27325365}
2019-02-04 = Daily{open=102.8700, high=105.8000, low=102.7700, close=105.7400, volume=31315282}
2019-02-01 = Daily{open=103.7750, high=104.0999, low=102.3500, close=102.7800, volume=35535690}
2019-01-31 = Daily{open=103.8000, high=105.2200, low=103.1800, close=104.4300, volume=55636391}
2019-01-30 = Daily{open=104.6200, high=106.3800, low=104.3300, close=106.3800, volume=49471866}
2019-01-29 = Daily{open=104.8800, high=104.9700, low=102.1700, close=102.9400, volume=31490547}
2019-01-28 = Daily{open=106.2600, high=106.4800, low=104.6600, close=105.0800, volume=29476719}
2019-01-25 = Daily{open=107.2400, high=107.8800, low=106.5900, close=107.1700, volume=31218193}
2019-01-24 = Daily{open=106.8600, high=107.0000, low=105.3400, close=106.2000, volume=23164838}
2019-01-23 = Daily{open=106.1200, high=107.0400, low=105.3400, close=106.7100, volume=25874294}
2019-01-22 = Daily{open=106.7500, high=107.1000, low=104.8600, close=105.6800, volume=32371253}
2019-01-18 = Daily{open=107.4600, high=107.9000, low=105.9100, close=107.7100, volume=37427587}
2019-01-17 = Daily{open=105.0000, high=106.6250, low=104.7600, close=106.1200, volume=28393015}
2019-01-16 = Daily{open=105.2600, high=106.2550, low=104.9600, close=105.3800, volume=29853865}
2019-01-15 = Daily{open=102.5100, high=105.0500, low=101.8800, close=105.0100, volume=31587616}
2019-01-14 = Daily{open=101.9000, high=102.8716, low=101.2600, close=102.0500, volume=28437079}
2019-01-11 = Daily{open=103.1900, high=103.4400, low=101.6400, close=102.8000, volume=28314202}
2019-01-10 = Daily{open=103.2200, high=103.7500, low=102.3800, close=103.6000, volume=30067556}
2019-01-09 = Daily{open=103.8600, high=104.8800, low=103.2445, close=104.2700, volume=32280840}
2019-01-08 = Daily{open=103.0400, high=103.9700, low=101.7134, close=102.8000, volume=31514415}
2019-01-07 = Daily{open=101.6400, high=103.2681, low=100.9800, close=102.0600, volume=35656136}
2019-01-04 = Daily{open=99.7200, high=102.5100, low=98.9300, close=101.9300, volume=44060620}
2019-01-03 = Daily{open=100.1000, high=100.1850, low=97.2000, close=97.4000, volume=42578410}
2019-01-02 = Daily{open=99.5500, high=101.7500, low=98.9400, close=101.1200, volume=35329345}
2018-12-31 = Daily{open=101.2900, high=102.4000, low=100.4400, close=101.5700, volume=33173765}
2018-12-28 = Daily{open=102.0900, high=102.4100, low=99.5200, close=100.3900, volume=38169312}
2018-12-27 = Daily{open=99.3000, high=101.1900, low=96.4000, close=101.1800, volume=49498509}
2018-12-26 = Daily{open=95.1400, high=100.6900, low=93.9600, close=100.5600, volume=51634793}
2018-12-24 = Daily{open=97.6800, high=97.9700, low=93.9800, close=94.1300, volume=43935192}
2018-12-21 = Daily{open=101.6300, high=103.0000, low=97.4600, close=98.2300, volume=111242070}
2018-12-20 = Daily{open=103.0500, high=104.3100, low=98.7800, close=101.5100, volume=70334184}
2018-12-19 = Daily{open=103.6500, high=106.8800, low=101.3500, close=103.6900, volume=68198186}
2018-12-18 = Daily{open=103.7500, high=104.5100, low=102.5200, close=103.9700, volume=49319196}
2018-12-17 = Daily{open=105.4100, high=105.8000, low=101.7100, close=102.8900, volume=56957314}
2018-12-14 = Daily{open=108.2500, high=109.2600, low=105.5000, close=106.0300, volume=47043136}
2018-12-13 = Daily{open=109.5800, high=110.8700, low=108.6300, close=109.4500, volume=31333362}
2018-12-12 = Daily{open=110.8900, high=111.2700, low=109.0400, close=109.0800, volume=36183020}
2018-12-11 = Daily{open=109.8000, high=110.9500, low=107.4400, close=108.5900, volume=42381947}
2018-12-10 = Daily{open=104.8000, high=107.9800, low=103.8900, close=107.5900, volume=40801525}
2018-12-07 = Daily{open=108.3800, high=109.4500, low=104.3000, close=104.8200, volume=45044937}
2018-12-06 = Daily{open=105.8200, high=109.2400, low=105.0000, close=109.1900, volume=49107431}
2018-12-04 = Daily{open=111.9400, high=112.6373, low=108.2115, close=108.5200, volume=45196984}
2018-12-03 = Daily{open=113.0000, high=113.4200, low=110.7300, close=112.0900, volume=34732772}
2018-11-30 = Daily{open=110.7000, high=110.9700, low=109.3600, close=110.8900, volume=33665624}
2018-11-29 = Daily{open=110.3300, high=111.1150, low=109.0300, close=110.1900, volume=28123195}
2018-11-28 = Daily{open=107.8900, high=111.3300, low=107.8600, close=111.1200, volume=46788461}
2018-11-27 = Daily{open=106.2700, high=107.3300, low=105.3600, close=107.1400, volume=29124486}
2018-11-26 = Daily{open=104.7900, high=106.6300, low=104.5800, close=106.4700, volume=32336165}
2018-11-23 = Daily{open=102.1700, high=103.8099, low=102.0000, close=103.0700, volume=13823099}
2018-11-21 = Daily{open=103.6000, high=104.4300, low=102.2400, close=103.1100, volume=28130621}
2018-11-20 = Daily{open=101.8000, high=102.9700, low=99.3528, close=101.7100, volume=64052457}
2018-11-19 = Daily{open=108.2700, high=108.5600, low=103.5500, close=104.6200, volume=44773899}
2018-11-16 = Daily{open=107.0800, high=108.8800, low=106.8000, close=108.2900, volume=33502121}
2018-11-15 = Daily{open=104.9900, high=107.8000, low=103.9100, close=107.2800, volume=38505165}
2018-11-14 = Daily{open=108.1000, high=108.2600, low=104.4700, close=104.9700, volume=39495141}
2018-11-13 = Daily{open=107.5500, high=108.7400, low=106.6400, close=106.9400, volume=35374583}
2018-11-12 = Daily{open=109.4200, high=109.9600, low=106.1000, close=106.8700, volume=33621807}
2018-11-09 = Daily{open=110.8500, high=111.4500, low=108.7600, close=109.5700, volume=32039223}
2018-11-08 = Daily{open=111.8000, high=112.2100, low=110.9100, close=111.7500, volume=25644105}
2018-11-07 = Daily{open=109.4400, high=112.2400, low=109.4000, close=111.9600, volume=37901704}
2018-11-06 = Daily{open=107.3800, high=108.8400, low=106.2800, close=107.7200, volume=24340248}
2018-11-05 = Daily{open=106.3700, high=107.7400, low=105.9000, close=107.5100, volume=27922144}
2018-11-02 = Daily{open=106.4800, high=107.3200, low=104.9750, close=106.1600, volume=37680194}
2018-11-01 = Daily{open=107.0500, high=107.3200, low=105.5300, close=105.9200, volume=33384201}
2018-10-31 = Daily{open=105.4350, high=108.1400, low=105.3900, close=106.8100, volume=51062383}
2018-10-30 = Daily{open=103.6600, high=104.3800, low=100.1100, close=103.7300, volume=65350878}
2018-10-29 = Daily{open=108.1050, high=108.7000, low=101.6300, close=103.8500, volume=55162001}
2018-10-26 = Daily{open=105.6900, high=108.7500, low=104.7600, close=106.9600, volume=55523104}
2018-10-25 = Daily{open=106.5500, high=109.2700, low=106.1500, close=108.3000, volume=61646819}
2018-10-24 = Daily{open=108.4100, high=108.4900, low=101.5901, close=102.3200, volume=63897759}
2018-10-23 = Daily{open=107.7700, high=108.9700, low=105.1100, close=108.1000, volume=43770429}
2018-10-22 = Daily{open=109.3200, high=110.5400, low=108.2400, close=109.6300, volume=26545607}
2018-10-19 = Daily{open=108.9300, high=110.8600, low=108.2100, close=108.6600, volume=32785475}
2018-10-18 = Daily{open=110.1000, high=110.5300, low=107.8300, close=108.5000, volume=32506192}
2018-10-17 = Daily{open=111.6800, high=111.8100, low=109.5482, close=110.7100, volume=26548243}
2018-10-16 = Daily{open=109.5400, high=111.4100, low=108.9500, close=111.0000, volume=31610164}
2018-10-15 = Daily{open=108.9100, high=109.4800, low=106.9468, close=107.6000, volume=32068103}
2018-10-12 = Daily{open=109.0100, high=111.2400, low=107.1200, close=109.5700, volume=47742109}
2018-10-11 = Daily{open=105.3500, high=108.9300, low=104.2000, close=105.9100, volume=63904282}
2018-10-10 = Daily{open=111.2400, high=111.5000, low=105.7900, close=106.1600, volume=61376300}
2018-10-09 = Daily{open=111.1400, high=113.0800, low=110.8000, close=112.2600, volume=26198594}
2018-10-08 = Daily{open=111.6600, high=112.0300, low=109.3400, close=110.8500, volume=29640588}
2018-10-05 = Daily{open=112.6300, high=113.1700, low=110.6400, close=112.1300, volume=29068859}
2018-10-04 = Daily{open=114.6100, high=114.7588, low=111.6300, close=112.7900, volume=34821717}
2018-10-03 = Daily{open=115.4200, high=116.1800, low=114.9300, close=115.1700, volume=16648018}
2018-10-02 = Daily{open=115.3000, high=115.8400, low=114.4400, close=115.1500, volume=20787239}
2018-10-01 = Daily{open=114.7500, high=115.6800, low=114.7300, close=115.6100, volume=18883079}
2018-09-28 = Daily{open=114.1900, high=114.5700, low=113.6800, close=114.3700, volume=21647811}
2018-09-27 = Daily{open=114.7800, high=114.9100, low=114.2000, close=114.4100, volume=19091299}
2018-09-26 = Daily{open=114.4700, high=115.0550, low=113.7400, close=113.9800, volume=19352025}
2018-09-25 = Daily{open=114.8000, high=115.1000, low=113.7500, close=114.4500, volume=22668014}
2018-09-24 = Daily{open=113.0300, high=114.9000, low=112.2175, close=114.6700, volume=27334460}

Выше код был протестирован с использованием Jackson в версии 2.9.8