我正在嘗試將以下 API 數(shù)據(jù)轉(zhuǎn)換為 java 類(lèi)。我特別感興趣的是選擇帶有日期鍵的 timeSeriesDaily 字段和 openingStockPrice 字段。我嘗試使用以下數(shù)據(jù)結(jié)構(gòu)來(lái)捕獲相關(guān)字段public class AlphavantageData { List<Map<String,TimeSeriesDaily>> timeSeriesDaily; public List<Map<String, TimeSeriesDaily>> getTimeSeriesDaily() { return timeSeriesDaily; } public void setTimeSeriesDaily(List<Map<String, TimeSeriesDaily>> timeSeriesDaily) { this.timeSeriesDaily = timeSeriesDaily; }}public class TimeSeriesDaily { private Map<String,DayCloseStockPrice> dayStockPriceRecords; public Map<String, DayCloseStockPrice> getDayStockPriceRecords() { return dayStockPriceRecords; } public void setDayStockPriceRecords(Map<String, DayCloseStockPrice> dayStockPriceRecords) { this.dayStockPriceRecords = dayStockPriceRecords; }}public class DayCloseStockPrice { private String closingStockPrice; public String getClosingStockPrice() { return closingStockPrice; } public void setClosingStockPrice(String closingStockPrice) { this.closingStockPrice = closingStockPrice; }}但是我不斷收到以下 GSON 錯(cuò)誤：java.lang.IllegalStateException: Expected BEGIN_OBJECT but was STRING at line 10 column 10 path $.timeSeriesDaily[0]如果有人能回答為什么這不起作用以及如何解決它，我將不勝感激。
2 回答
30秒到達(dá)戰(zhàn)場(chǎng)
TA貢獻(xiàn)1828條經(jīng)驗(yàn) 獲得超6個(gè)贊
確保您的 json 對(duì)象格式正確并且與 POJO 兼容，稍后您可以使用下面的代碼進(jìn)行不同類(lèi)型的轉(zhuǎn)換 -
Gson gson = new Gson();
// 1. JSON file to Java object
Staff staff = gson.fromJson(new FileReader("C:\\projects\\test.json"), Test.class);
// 2. JSON string to Java object
String json = "{'name' : 'test'}";
Staff staff = gson.fromJson(json, Test.class);
// 3. JSON file to JsonElement -> String
JsonElement json = gson.fromJson(new FileReader("C:\\projects\\test.json"), JsonElement.class);
String result = gson.toJson(json);
Maven 依賴 -
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>x.x.x</version>
</dependency>
茅侃侃
TA貢獻(xiàn)1842條經(jīng)驗(yàn) 獲得超21個(gè)贊
你的 json 結(jié)構(gòu)不正確，但是我已經(jīng)在你的類(lèi)中嘗試了以下 json 并且它有效
{
"Meta Data": {
"1. Information": "Daily Time Series with Splits and Dividend Events",
"2. Symbol": "MSFT",
"3. Last Refreshed": "2019-10-24",
"4. Output Size": "Compact",
"5. Time Zone": "US/Eastern"
},
"timeSeriesDaily": [
{
"2019-10-24": {
"1. open": "139.3900",
"2. high": "140.4100",
"3. low": "138.6700",
"closingStockPrice": "139.9400",
"5. adjusted close": "139.9400",
"6. volume": "34434281",
"7. dividend amount": "0.0000",
"8. split coefficient": "1.0000"
}
}
]
}
添加回答
舉報(bào)
0/150
提交
取消