我正在嘗試研究如何創建模型類以解析來自 Alpha Vantage api 的 Json 數據，但無法鍛煉模型類的格式。這是 Json 的格式： { "Meta Data": { "1. Information": "Daily Time Series with Splits and Dividend Events", "2. Symbol": "FCHI", "3. Last Refreshed": "2015-08-21", "4. Output Size": "Full size", "5. Time Zone": "US/Eastern" }, "Time Series (Daily)": { "2015-08-21": { "1. open": "47.4100", "2. high": "47.9100", "3. low": "47.4100", "4. close": "47.9100", "5. adjusted close": "47.9100", "6. volume": "5148", "7. dividend amount": "0.0000", "8. split coefficient": "1.0000" }, "2015-08-20": { "1. open": "47.9000", "2. high": "47.9000", "3. low": "47.0600", "4. close": "47.2900", "5. adjusted close": "47.2900", "6. volume": "661", "7. dividend amount": "0.0000", "8. split coefficient": "1.0000" } }}或以圖形形式：元數據顯然是一個由字符串組成的對象：String Information;String Symbol;String LastRefreshed;String OutputSize;String Time Zone;但是當我得到時間序列（每天）時，我被卡住了。這些是我無法解決的問題：對象“時間序列（每日）”，根據功能，標題將更改為時間序列（每月）或時間序列（日內）等。我需要為每個模型創建一個新模型嗎？進一步深入研究“時間序列（每日）”，您實際上擁有時間戳對象的數組列表，但是當我查看文檔時，括號表示一個對象。你會如何引用這個？我在想引用時間對象的方法是獲取時間序列（每日）對象并遍歷它以獲取各個時間時間戳對象，但我不知道您將如何為此創建模型，因為不同每個的時間戳。例如，模型將具有開盤價、最高價、最低價、收盤價、調整后的收盤價、交易量、股息金額、拆分系數，但時間戳在哪里適合呢？我希望這是有道理的，我試圖讓它盡可能清楚，但我理解如果我沒有很好地解釋它。謝謝你的幫助
1 回答
慕少森
TA貢獻2019條經驗 獲得超9個贊
如果您可以調整您的 JSON 響應以使其與以下內容相匹配，您可以輕松實現您正在嘗試的功能
{
"Meta Data": {
"1. Information": "Daily Time Series with Splits and Dividend Events",
"2. Symbol": "FCHI",
"3. Last Refreshed": "2015-08-21",
"4. Output Size": "Full size",
"5. Time Zone": "US/Eastern"
},
"Time Series (Daily)": [
{
"1. open": "47.4100",
"2. high": "47.9100",
"3. low": "47.4100",
"4. close": "47.9100",
"5. adjusted close": "47.9100",
"6. volume": "5148",
"7. dividend amount": "0.0000",
"8. split coefficient": "1.0000",
"time_stamp": "2015-08-21"
},
{
"1. open": "47.9000",
"2. high": "47.9000",
"3. low": "47.0600",
"4. close": "47.2900",
"5. adjusted close": "47.2900",
"6. volume": "661",
"7. dividend amount": "0.0000",
"8. split coefficient": "1.0000",
"time_stamp": "2015-08-20"
}
]
}
主要 POJO
package com.example;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class Example {
private Meta_Data meta_Data;
private List<Time_Series__Daily_> time_Series__Daily_ = null;
private Map<String, Object> additionalProperties = new HashMap<String, Object>();
public Meta_Data getMeta_Data() {
return meta_Data;
}
public void setMeta_Data(Meta_Data meta_Data) {
this.meta_Data = meta_Data;
}
public List<Time_Series__Daily_> getTime_Series__Daily_() {
return time_Series__Daily_;
}
public void setTime_Series__Daily_(List<Time_Series__Daily_> time_Series__Daily_) {
this.time_Series__Daily_ = time_Series__Daily_;
}
public Map<String, Object> getAdditionalProperties() {
return this.additionalProperties;
}
public void setAdditionalProperty(String name, Object value) {
this.additionalProperties.put(name, value);
}
}
類元數據
package com.example;
import java.util.HashMap;
import java.util.Map;
public class Meta_Data {
private String _1__Information;
private String _2__Symbol;
private String _3__Last_Refreshed;
private String _4__Output_Size;
private String _5__Time_Zone;
private Map<String, Object> additionalProperties = new HashMap<String, Object>();
public String get1__Information() {
return _1__Information;
}
public void set1__Information(String _1__Information) {
this._1__Information = _1__Information;
}
public String get2__Symbol() {
return _2__Symbol;
}
public void set2__Symbol(String _2__Symbol) {
this._2__Symbol = _2__Symbol;
}
public String get3__Last_Refreshed() {
return _3__Last_Refreshed;
}
public void set3__Last_Refreshed(String _3__Last_Refreshed) {
this._3__Last_Refreshed = _3__Last_Refreshed;
}
public String get4__Output_Size() {
return _4__Output_Size;
}
public void set4__Output_Size(String _4__Output_Size) {
this._4__Output_Size = _4__Output_Size;
}
public String get5__Time_Zone() {
return _5__Time_Zone;
}
public void set5__Time_Zone(String _5__Time_Zone) {
this._5__Time_Zone = _5__Time_Zone;
}
public Map<String, Object> getAdditionalProperties() {
return this.additionalProperties;
}
public void setAdditionalProperty(String name, Object value) {
this.additionalProperties.put(name, value);
}
}
課堂時間_系列_每日
package com.example;
import java.util.HashMap;
import java.util.Map;
public class Time_Series__Daily_ {
private String _1__open;
private String _2__high;
private String _3__low;
private String _4__close;
private String _5__adjusted_close;
private String _6__volume;
private String _7__dividend_amount;
private String _8__split_coefficient;
private String time_stamp;
private Map<String, Object> additionalProperties = new HashMap<String, Object>();
public String get1__open() {
return _1__open;
}
public void set1__open(String _1__open) {
this._1__open = _1__open;
}
public String get2__high() {
return _2__high;
}
public void set2__high(String _2__high) {
this._2__high = _2__high;
}
public String get3__low() {
return _3__low;
}
public void set3__low(String _3__low) {
this._3__low = _3__low;
}
public String get4__close() {
return _4__close;
}
public void set4__close(String _4__close) {
this._4__close = _4__close;
}
public String get5__adjusted_close() {
return _5__adjusted_close;
}
public void set5__adjusted_close(String _5__adjusted_close) {
this._5__adjusted_close = _5__adjusted_close;
}
public String get6__volume() {
return _6__volume;
}
public void set6__volume(String _6__volume) {
this._6__volume = _6__volume;
}
public String get7__dividend_amount() {
return _7__dividend_amount;
}
public void set7__dividend_amount(String _7__dividend_amount) {
this._7__dividend_amount = _7__dividend_amount;
}
public String get8__split_coefficient() {
return _8__split_coefficient;
}
public void set8__split_coefficient(String _8__split_coefficient) {
this._8__split_coefficient = _8__split_coefficient;
}
public String getTime_stamp() {
return time_stamp;
}
public void setTime_stamp(String time_stamp) {
this.time_stamp = time_stamp;
}
public Map<String, Object> getAdditionalProperties() {
return this.additionalProperties;
}
public void setAdditionalProperty(String name, Object value) {
this.additionalProperties.put(name, value);
}
}
我使用這個網站在線將 JSON 轉換為 POJO。很棒的工具。實時節省。我多希望我能幫忙。
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