我有一个JSON文件,需要解析并提取一些值。
样例如下:
[
{
"period": "2016-06-07 - 2016-06-14",
"range": "2016-06-07..2016-06-14",
"items": [
{
"region_name": "Canterbury/Otago",
"region_id": 12,
"average_cover": 2099,
"average_growth": 16,
"reading_count": 3
},
{
"region_name": "Southland",
"region_id": 14,
"average_cover": 2068,
"average_growth": 3,
"reading_count": 1
},
{
"region_name": "Wairarapa \u0026 Hawkes Bay",
"region_id": 10,
"average_cover": 2195,
"average_growth": 20,
"reading_count": 2
}
]
},
{
"period": "2016-05-31 - 2016-06-07",
"range": "2016-05-31..2016-06-07",
"items": [
{
"region_name": "Canterbury/Otago",
"region_id": 12,
"average_cover": 2126,
"average_growth": 17,
"reading_count": 5
},
{
"region_name": "Southland",
"region_id": 14,
"average_cover": 2181,
"average_growth": 10,
"reading_count": 2
}
]
},
{
"period": "2016-05-24 - 2016-05-31",
"range": "2016-05-24..2016-05-31",
"items": [
{
"region_name": "Canterbury/Otago",
"region_id": 12,
"average_cover": 2139,
"average_growth": 28,
"reading_count": 6
},
{
"region_name": "Central Plateau",
"region_id": 6,
"average_cover": 2400,
"average_growth": 38,
"reading_count": 1
},
{
"region_name": "Wairarapa \u0026 Hawkes Bay",
"region_id": 10,
"average_cover": 2254,
"average_growth": 27,
"reading_count": 2
}
]
},
{
"period": "2016-05-18 - 2016-05-25",
"range": "2016-05-18..2016-05-25",
"items": [
{
"region_name": "Canterbury/Otago",
"region_id": 12,
"average_cover": 2183,
"average_growth": 39,
"reading_count": 6
},
{
"region_name": "Manawatu",
"region_id": 9,
"average_cover": 2315,
"average_growth": 42,
"reading_count": 1
},
{
"region_name": "Wairarapa \u0026 Hawkes Bay",
"region_id": 10,
"average_cover": 2228,
"average_growth": 29,
"reading_count": 2
}
]
},
{
"period": "2016-05-10 - 2016-05-17",
"range": "2016-05-10..2016-05-17",
"items": [
{
"region_name": "Canterbury/Otago",
"region_id": 12,
"average_cover": 2251,
"average_growth": 40,
"reading_count": 8
},
{
"region_name": "Otago",
"region_id": 13,
"average_cover": 2595,
"average_growth": 26,
"reading_count": 1
},
{
"region_name": "Southland",
"region_id": 14,
"average_cover": 2526,
"average_growth": 49,
"reading_count": 2
},
{
"region_name": "Waikato",
"region_id": 4,
"average_cover": 2484,
"average_growth": 60,
"reading_count": 1
},
{
"region_name": "Wairarapa \u0026 Hawkes Bay",
"region_id": 10,
"average_cover": 2201,
"average_growth": 34,
"reading_count": 2
}
]
}
]
我需要提取的项目是
region_id
,average_cover
和average_growth
。我已经成功地从第一个
items
数组中提取了值,但我的样本JSON文件包含4个items
数组,我似乎只能从第一个items
元素中提取值。我一直在使用
ulkJSON.pas
库,我的Delphi代码如下,将值发送到表单上的TMemo
:var
js: TlkJSONBase;
Items: TlkJSONbase;
I: Integer;
lHTTP: TIdHTTP;
sJSON: String;
begin
sJSON := // as per sample JSON text in question
js := TlkJSON.ParseText(sJSON);
Items := js.Field['items'];
for I := 0 to Pred(Items.Count) do begin
Memo1.Lines.Add(VarToStr(Items.Child[I].Field['region_id'].Value));
Memo1.Lines.Add(VarToStr(Items.Child[I].Field['average_cover'].Value));
Memo1.Lines.Add(VarToStr(Items.Child[I].Field['average_growth'].Value));
end;
end;
[]
)。但是,即使有了这个,无论如何,我都看不出您如何按照您编写的代码读取items
对象。 - Jerry Dodge