我想从data_format_value中获取数据。它仅返回最后一个值。我不知道错误发生在哪里。我想获取所有的data_format_value。
{
"org_id": 1
"test_instance_id": 237,
"section_attributes": [
{
"section_id": 1,
"section_name": "Section-A",
"section_status": "Started",
"item_count": 5
}
],
"itemset_sections": [
{
"section_id": 1,
"section_name": "Section-A",
"timer": 30,
"section_items": [
{
"item_id": 190,
"item_type": 1,
"is_directive": 0,
"directive_content": {},
"hints": "scientists",
"item": [
{
"data_id": 877,
"data_format_id": 1,
"data_format_value": "Why haven't Indian scientists made such headway in any field after independence ?",
"item_df_sequence": 1,
"data_identifier": null
},
{
"data_id": 878,
"data_format_id": 1,
"data_format_value": "Indian scientists are not provided with up to date laboratory facilities.",
"item_df_sequence": 2,
"data_identifier": null
},
{
"data_id": 879,
"data_format_id": 1,
"data_format_value": "Indian scientists regard that knowledge of western science advances is enough for a nation to advance.",
"item_df_sequence": 3,
"data_identifier": null
}
],
"answer_choices": [
{
"correct_answer": false,
"answer_choice_id": 4,
"choice_elements": [
{
"data_id": 883,
"data_format_id": 1,
"data_format_value": "data given in both statements I and II together are not sufficient to answer the question. ",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 1
},
{
"correct_answer": false,
"answer_choice_id": 2,
"choice_elements": [
{
"data_id": 881,
"data_format_id": 1,
"data_format_value": "data in statement II alone are sufficient to answer the question.",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 2
},
{
"correct_answer": true,
"answer_choice_id": 1,
"choice_elements": [
{
"data_id": 880,
"data_format_id": 1,
"data_format_value": "data in statement I alone are sufficient to answer the question.",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 3
},
{
"correct_answer": false,
"answer_choice_id": 3,
"choice_elements": [
{
"data_id": 882,
"data_format_id": 1,
"data_format_value": "data either in statement I alone or in statement II alone are sufficient to answer the question.",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 4
}
],
"Answer_Choice_Type": "Single Answer",
"score_type": "Item Lvl Score",
"ItemSet_Item_Key": 273,
"yet_to_visit": 0,
"filterCategory": "red",
"mark_for_review": 0,
"not_answered": 1,
"answered": 0,
"answered_marked_for_review": 0,
"seq_no": 1,
"hints_shown": "n",
"user_selected_option": []
},
{
"item_id": 193,
"item_type": 1,
"is_directive": 0,
"directive_content": {},
"hints": "synthesised",
"item": [
{
"data_id": 897,
"data_format_id": 1,
"data_format_value": "Which of the following is the newest element to be discovered and synthesised?",
"item_df_sequence": 1,
"data_identifier": null
},
{
"data_id": 4,
"data_format_id": 11,
"data_format_value": "https://awspikaresources.s3.ap-south-1.amazonaws.com/TenantsDetails/Tech4india2018-06-16/TenantFilesContent/Videos/61e0158cde97a6f2e3a9f3a7c5d81ccf1530684346.mp4",
"item_df_sequence": 2,
"data_identifier": null
}
],
"answer_choices": [
{
"correct_answer": false,
"answer_choice_id": 1,
"choice_elements": [
{
"data_id": 898,
"data_format_id": 1,
"data_format_value": "Flerovium (114)",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 1
},
{
"correct_answer": true,
"answer_choice_id": 4,
"choice_elements": [
{
"data_id": 901,
"data_format_id": 1,
"data_format_value": "Ununseptium (117)",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 2
},
{
"correct_answer": false,
"answer_choice_id": 2,
"choice_elements": [
{
"data_id": 899,
"data_format_id": 1,
"data_format_value": "Ununpentium (115)",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 3
},
{
"correct_answer": false,
"answer_choice_id": 3,
"choice_elements": [
{
"data_id": 900,
"data_format_id": 1,
"data_format_value": "Livermorium (116)",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 4
}
],
"Answer_Choice_Type": "Single Answer",
"score_type": "Item Lvl Score",
"ItemSet_Item_Key": 275,
"yet_to_visit": 1,
"filterCategory": "gray",
"mark_for_review": 0,
"not_answered": 0,
"answered": 0,
"answered_marked_for_review": 0,
"seq_no": 3,
"hints_shown": "n",
"user_selected_option": []
},
{
"item_id": 195,
"item_type": 2,
"is_directive": 0,
"directive_content": {},
"hints": "anti-tetanus ",
"item": [
{
"data_id": 904,
"data_format_id": 1,
"data_format_value": "Blueberries cost more than strawberries",
"item_df_sequence": 1,
"data_identifier": null
},
{
"data_id": 905,
"data_format_id": 1,
"data_format_value": "Blueberries cost less than raspberries.",
"item_df_sequence": 2,
"data_identifier": null
},
{
"data_id": 906,
"data_format_id": 1,
"data_format_value": "Raspberries cost more than strawberries and blueberries",
"item_df_sequence": 3,
"data_identifier": null
},
{
"data_id": 907,
"data_format_id": 1,
"data_format_value": "If the first two statements are true, the third statement is",
"item_df_sequence": 4,
"data_identifier": null
}
],
"answer_choices": [
{
"data_id": 8,
"data_format_id": 1,
"data_format_value": "True",
"answer_choice_id": 1,
"item_df_sequence": 1,
"data_identifier": null,
"correct_answer": true,
"choosed_answer": false,
"seq_id": 1
},
{
"data_id": 9,
"data_format_id": 1,
"data_format_value": "False",
"answer_choice_id": 2,
"item_df_sequence": 2,
"data_identifier": null,
"correct_answer": false,
"choosed_answer": false,
"seq_id": 2
}
],
"Answer_Choice_Type": "Single Answer",
"score_type": "Item Lvl Score",
"ItemSet_Item_Key": 277,
"yet_to_visit": 1,
"filterCategory": "gray",
"mark_for_review": 0,
"not_answered": 0,
"answered": 0,
"answered_marked_for_review": 0,
"seq_no": 4,
"hints_shown": "n",
"user_selected_option": []
},
{
"item_id": 191,
"item_type": 1,
"is_directive": 0,
"directive_content": {},
"hints": "segment",
"item": [
{
"data_id": 884,
"data_format_id": 1,
"data_format_value": "Suppose we have an image given below",
"item_df_sequence": 1,
"data_identifier": null
},
{
"data_id": 7,
"data_format_id": 6,
"data_format_value": "https://awspikaresources.s3.ap-south-1.amazonaws.com/TenantsDetails/Tech4india2018-06-16/TenantFilesContent/Images/87a95c70ae73d23f351b50cddcf459641530684578.jpeg",
"item_df_sequence": 2,
"data_identifier": null
},
{
"data_id": 885,
"data_format_id": 1,
"data_format_value": "Our task is to segment the objects in the image. A simple way to do this is to represent the image in terms of the intensity of pixels and the cluster them according to the values. On doing this, we got this type of structure",
"item_df_sequence": 3,
"data_identifier": null
},
{
"data_id": 8,
"data_format_id": 6,
"data_format_value": "https://awspikaresources.s3.ap-south-1.amazonaws.com/TenantsDetails/Tech4india2018-06-16/TenantFilesContent/Images/04c5c1be6bbfd4f44773e4c68b84c05d1530684594.jpeg",
"item_df_sequence": 4,
"data_identifier": null
},
{
"data_id": 886,
"data_format_id": 1,
"data_format_value": "Suppose we choose k-means clustering to solve the problem, what would be the appropriate value of k from just a visual inspection of the intensity graph?",
"item_df_sequence": 5,
"data_identifier": null
}
],
"answer_choices": [
{
"correct_answer": true,
"answer_choice_id": 3,
"choice_elements": [
{
"data_id": 889,
"data_format_id": 1,
"data_format_value": "3",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 1
},
{
"correct_answer": false,
"answer_choice_id": 1,
"choice_elements": [
{
"data_id": 887,
"data_format_id": 1,
"data_format_value": "1",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 2
},
{
"correct_answer": false,
"answer_choice_id": 2,
"choice_elements": [
{
"data_id": 888,
"data_format_id": 1,
"data_format_value": "2",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 3
},
{
"correct_answer": false,
"answer_choice_id": 4,
"choice_elements": [
{
"data_id": 890,
"data_format_id": 1,
"data_format_value": "4",
"item_df_sequence": 1,
"data_identifier": null
}
],
"choosed_answer": false,
"seq_id": 4
}
],
"Answer_Choice_Type": "Single Answer",
"score_type": "Item Lvl Score",
"ItemSet_Item_Key": 274,
"yet_to_visit": 1,
"filterCategory": "gray",
"mark_for_review": 0,
"not_answered": 0,
"answered": 0,
"answered_marked_for_review": 0,
"seq_no": 5,
"hints_shown": "n",
"user_selected_option": []
}
]
}
]
}
我也创建了pojo。 我的Android代码受到打击。在这里，我附加了我的android函数而没有pojo。 logcat中打印的数据不会显示在textview中
private void fetchTestData() {
JsonObject gsonObject = new JsonObject();
JsonObject paramObject = new JsonObject();
JsonObject current_section = new JsonObject();
paramObject.addProperty("test_id", 30);
paramObject.addProperty("user_id", 23);
paramObject.addProperty("org_id", 1);
paramObject.addProperty("schedule_id", 80);
paramObject.addProperty("next_section_id","");
paramObject.addProperty("group_id", "null");
paramObject.addProperty("current_section", String.valueOf(current_section));
JsonParser jsonParser = new JsonParser();
gsonObject = (JsonObject) jsonParser.parse(paramObject.toString());
retrofit2.Call<Test_Responce> userCall = api_interface.exampleresponce(gsonObject);
userCall.enqueue(new Callback<Test_Responce>() {
@Override
public void onResponse(retrofit2.Call<Test_Responce> call, Response<Test_Responce> response) {
if (response.isSuccessful()){
qnoPalette.clear();
countTimer = response.body().getTimer();
List<ItemsetSection> getItemsetSection = response.body().getItemsetSections();
getSectionAttribute = response.body().getSectionAttributes();
//get Itemset Section
for (int i = 0;i<getItemsetSection.size();i++){
List<SectionItem> getSection = getItemsetSection.get(i).getSectionItems();
for (int j = 0;j<getSection.size();j++){
getItem = getSection.get(j).getItem();
for (int k=0;k<getItem.size();k++){
Const.QuestionSize = getItem.size();
strQuestion.add(getItem.get(k).getDataFormatValue());
}
}
}
for (int i =0; i<getSectionAttribute.size();i++){
txtQuestionPage.setText(Const.currentpage+"/"+getSectionAttribute.get(i).getItemCount());
sectionItem.add( getSectionAttribute.get(i).getSectionName());
Valuesfromserver();
}
Toast.makeText(getApplicationContext(),"success",Toast.LENGTH_SHORT).show();
startCountDownTimer();
}else {
Toast.makeText(getApplicationContext(),"else",Toast.LENGTH_SHORT).show();
}
}
@Override
public void onFailure(retrofit2.Call<Test_Responce> call, Throwable t) {
Toast.makeText(getApplicationContext(),t.getMessage(),Toast.LENGTH_LONG).show();
Log.e("error:",t.getMessage())
; }
});
}
btnQuestion.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
paletteLayout.setVisibility(View.GONE);
txtInst.setVisibility(View.GONE);
for(int i =0;i<strQuestion.size();i++{
textView.setText(strQuestion.get(i);
}
Log.e("questions", String.valueOf(strQuestion));
}
});
仅返回最后一个问题
谢谢
答案 0 :(得分：0)
for循环中出现问题。 我希望这段代码对您有用。
for (int i = 0; i <getSection.size();i++){
getItem = getSection.get(i).getItem();
for (int j = 0; j<getItem.size();j++){
Const.QuestionSize = getItem.size();
palette_model = new Palette_Model(getItem.get(j).getDataFormatValue(),
getItem.get(j).getDataFormatId());
strQuestion.add(palette_model);
}
Log.e("val", String.valueOf(strQuestion));
qa.add(String.valueOf(strQuestion));
strQuestion.clear();
}