我有一个JSON数组。 JSON如下所述。每个JSON元素都有一个字段类型。我需要的是,如果当前字段类型是描述性的,我必须获取nexts数组元素,直到遇到下一个描述性字段类型。
{
"field_name":"form_name_1",
"form_name":"patient_details",
"section_header":"",
"field_type":"descriptive",
"field_label":"<font size=3><i><b>Informed Consent<\/b><\/i><\/font>",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"vst_1_scrn_date",
"form_name":"patient_details",
"section_header":"",
"field_type":"text",
"field_label":"Visit 1 (Screening) Date:",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"date_dmy",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"consent_yes_no",
"form_name":"patient_details",
"section_header":"",
"field_type":"yesno",
"field_label":"Has the subject given written informed consent?",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"patient_site_num",
"form_name":"patient_details",
"section_header":"",
"field_type":"text",
"field_label":"Patient site number:",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"number",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"patient_letter_code",
"form_name":"patient_details",
"section_header":"",
"field_type":"text",
"field_label":"Patient letter code:",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"site_num",
"form_name":"patient_details",
"section_header":"",
"field_type":"text",
"field_label":"Site Number:",
"select_choices_or_calculations":"",
"field_note":"Belfast=01, Birmingham=02, Edinburgh=03, Imperial=04, Leicester=05, Manchester=06, Nottingham=07, Southhampton=08",
"text_validation_type_or_show_slider_number":"number",
"text_validation_min":"1",
"text_validation_max":"10",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"early_cohort_num",
"form_name":"patient_details",
"section_header":"",
"field_type":"text",
"field_label":"Early cohort number:",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"number",
"text_validation_min":"1000001",
"text_validation_max":"10009999",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"form_name_2",
"form_name":"visit_1_screening",
"section_header":"",
"field_type":"descriptive",
"field_label":"<font size=3><i><b><u>Demographics<i><\/b><\/u><\/font>",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
},
{
"field_name":"dob",
"form_name":"visit_1_screening",
"section_header":"",
"field_type":"text",
"field_label":"Date of Birth:",
"select_choices_or_calculations":"",
"field_note":"",
"text_validation_type_or_show_slider_number":"date_dmy",
"text_validation_min":"",
"text_validation_max":"",
"identifier":"",
"branching_logic":"",
"required_field":"y",
"custom_alignment":"",
"question_number":"",
"matrix_group_name":"",
"matrix_ranking":"",
"field_annotation":""
}
答案 0 :(得分:1)
下面的代码将为您提供一个包含JSON数组的HashSet,其中包含每个部分的对象。
public void program()
{
int sizeX = BuildingProperties.House.sizeX;
}
希望这就是你要找的东西