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我尝试从 json 类型数据生成 csv 文件。这些是我的 json 测试数据。

{
  "realtime_start":"2020-09-25",
  "realtime_end":"2020-09-25",,
  "units": "Percent",
  "seriess": [
    {
      "name": "James",
      "age": 29,
      "house": "CA"
    },
    {
      "name": "Jina",
      "age": 39,
      "house": "MA",
      "notes": "Million tonne punch"
    },
}

问题是json数组类型"seriess“不包含"notes"所有节点中的节点。我制作了下面的java代码来将此json数据更改为带有标题列的csv文件

JSONObject json = getJsonFileFromURL(...)

JSONArray docsArray = json.getJSONArray("seriess");
docsArray.put(json.get("realtime_start"));
docsArray.put(json.get("realtime_end"));
docsArray.put(json.get("units"));

JsonNode jsonTree = new ObjectMapper().readTree(docsArray.toString());
        
Builder csvSchemaBuilder = CsvSchema.builder();
for(JsonNode node : jsonTree) {
    node.fieldNames().forEachRemaining(fieldName -> {csvSchemaBuilder.addColumn(fieldName);} );
}

CsvSchema csvSchema = csvSchemaBuilder.build().withHeader();
CsvMapper csvMapper = new CsvMapper();
csvMapper.writerFor(JsonNode.class).with(csvSchema).writeValue(new File("test.csv"), jsonTree);

但不正确的结果如下所示，

realtime_start,realtime_end,units,names,age,house,realtime_start,realtime_end,units,names,age,house,notes, realtime_start,.....

生成的标题列不包含不同的值。标题列是重复添加的。如何生成如下所示的不同标头

realtime_start,realtime_end,units,names,age,house, notes

任何想法？

更新部分

我尝试从 FRED（圣路易斯联邦储备银行）中提取数据。FRED 提供简单方便的 Python api，如下所示，

from fredapi import Fred 
import pandas as pd

fred = Fred(api_key='abcdefghijklmnopqrstuvwxyz0123456789')
data_unemploy = fred.search('Unemployment Rate in California')
data_unemploy.to_csv("test_unemploy.csv")

但是 Java api 已被弃用，所以我必须开发简单的 Java api 将 json 值转换为 csv 文件。我通过谷歌搜索找到了以下 Java 代码

JSONObject json = getJsonFileFromURL("https://api.stlouisfed.org/fred/series/search?search_text=Unemployment+Rate+in+California&api_key=abcdefghijklmnopqrstuvwxyz0123456789&file_type=json");
        
JSONArray docsArray = json.getJSONArray("seriess");
docsArray.put(json.get("realtime_start"));
docsArray.put(json.get("realtime_end"));

JsonNode jsonTree = new ObjectMapper().readTree(docsArray.toString());
JsonNode firstObject = jsonTree.elements().next();  // I am struggling with this line 
firstObject.fieldNames().forEachRemaining(fieldName -> {csvSchemaBuilder.addColumn(fieldName);} );
CsvSchema csvSchema = csvSchemaBuilder.build().withHeader();
        
CsvMapper csvMapper = new CsvMapper();
csvMapper.writerFor(JsonNode.class).with(csvSchema).writeValue(new File("test.csv"), jsonTree);

要从 json 数据中提取列，JsonNode firstObject = jsonTree.elements().next();请返回第一个 json 节点。但是这一行不返回notes列。因为第一行不包含notes键值。

所以我将此代码行更改为以下行

for(JsonNode node : jsonTree) {
    node.fieldNames().forEachRemaining(fieldName -> {
        csvSchemaBuilder.addColumn(fieldName);
    } );
}

但是这些行会引发我没想到的结果。重复的重复列如下

realtime_start,realtime_end,units,names,age,house,realtime_start,realtime_end,units,names,age,house,notes, realtime_start,.....

我完全被这部分困住了。

4

2 回答 2

1

很可能最容易编写如下的 bin 类型类：

public class CsvVo {

    private String realtime_start;
    private String realtime_end;
    private String units;
    private String name;
    private String age;
    private String house;
    private String notes;

    public void setRealtime_start(String realtime_start) {
        this.realtime_start = realtime_start;
    }

//Other getters and Setters

然后你可以写：

public class ConvertJsonToCSVTest {
    public static void main(String[] args) throws JSONException {
        String jsonArrayString = "{\n" +
                "\t\"realtime_start\": \"2020-09-25\",\n" +
                "\t\"realtime_end\": \"2020-09-25\",\n" +
                "\t\"units\": \"Percent\",\n" +
                "\t\"seriess\": [{\n" +
                "\t\t\t\"name\": \"James\",\n" +
                "\t\t\t\"age\": 29,\n" +
                "\t\t\t\"house\": \"CA\"\n" +
                "\t\t},\n" +
                "\t\t{\n" +
                "\t\t\t\"name\": \"Jina\",\n" +
                "\t\t\t\"age\": 39,\n" +
                "\t\t\t\"house\": \"MA\",\n" +
                "\t\t\t\"notes\": \"Million tonne punch\"\n" +
                "\t\t}\n" +
                "\t]\n" +
                "}";
        JSONObject inJson;
            List<CsvVo> list = new ArrayList<>();
            inJson = new JSONObject(jsonArrayString);
            JSONArray inJsonSeries = inJson.getJSONArray("seriess");
            for (int i = 0, size = inJsonSeries.length(); i < size; i++){
                CsvVo line = new CsvVo();
                line.setRealtime_start(inJson.get("realtime_start").toString());
                line.setRealtime_end(inJson.get("realtime_end").toString());
                line.setUnits(inJson.get("units").toString());
                JSONObject o = (JSONObject)inJsonSeries.get(i);
                line.setName(o.get("name").toString());
                line.setAge(o.get("age").toString());
                line.setHouse(o.get("house").toString());
                try {
                    line.setNotes(o.get("notes").toString());
                }catch (JSONException e){
                    line.setNotes("");
                }
                list.add(line);
            }
            String[] cols = {"realtime_start", "realtime_end", "units", "name", "age", "house", "notes"};
            CsvUtils.csvWriterUtil(CsvVo.class, list, "in/EmpDetails.csv", cols);

        }
    }

csvWriterUtil 如下所示：

    public static <T> void csvWriterUtil(Class<T> beanClass, List<T> data, String outputFile, String[] columnMapping){
        try{
            Writer writer = new BufferedWriter(new FileWriter(outputFile));
            ColumnPositionMappingStrategy<T> strategy = new ColumnPositionMappingStrategy<>();
            strategy.setType(beanClass);
            strategy.setColumnMapping(columnMapping);
            StatefulBeanToCsv<T> statefulBeanToCsv =new StatefulBeanToCsvBuilder<T>(writer)
                    .withMappingStrategy(strategy)
                    .build();
            writer.write(String.join(",",columnMapping)+"\n");
            statefulBeanToCsv.write(data);
            writer.close();
        } catch (IOException e) {
            e.printStackTrace();
        } catch (CsvRequiredFieldEmptyException e) {
            e.printStackTrace();
        } catch (CsvDataTypeMismatchException e) {
            e.printStackTrace();
        }
    }

GitRepo中提供了完整示例

于 2020-09-26T14:27:07.603 回答
1

您可以使用库 Apache Commons IO 来完成

pom.xml

<dependency>
    <groupId>commons-io</groupId>
    <artifactId>commons-io</artifactId>
    <version>2.6</version>
</dependency>

ConvertJsonToCSVTest.java

import java.io.File;
import org.apache.commons.io.FileUtils;
import org.json.*;
public class ConvertJsonToCSVTest {
   public static void main(String[] args) throws JSONException {
      String jsonArrayString = "{\"fileName\": [{\"first name\": \"Adam\",\"last name\": \"Smith\",\"location\": \"London\"}]}";
      JSONObject output;
      try {
         output = new JSONObject(jsonArrayString);
         JSONArray docs = output.getJSONArray("fileName");
         File file = new File("EmpDetails.csv");
         String csv = CDL.toString(docs);
         FileUtils.writeStringToFile(file, csv);
         System.out.println("Data has been Sucessfully Writeen to "+ file);
         System.out.println(csv);
      }
      catch(Exception e) {
         e.printStackTrace();
      }
   }
}

输出

Data has been Sucessfully Writeen to EmpDetails.csv
last name,first name,location
Smith,Adam,London
于 2020-09-26T07:47:15.493 回答