내가하려는 것은 다른 데이터가이 프로젝트와 관련이 없기 때문에 각 주소 예측에 대한 List<string>모든의를 만드는 것 입니다 "description". 이것이 제가 함께 일하고있는 JSON입니다.
{
"predictions" : [
{
"description" : "123 Fake Street, Chuxiong, Yunnan, China",
"id" : "7e358b51222e27748f2edb85fdced03ce521a8d1",
"matched_substrings" : [
{
"length" : 15,
"offset" : 0
}
],
"place_id" : "EigxMjMgRmFrZSBTdHJlZXQsIENodXhpb25nLCBZdW5uYW4sIENoaW5h",
"reference" : "CmRWAAAAkvZoFSAdrZVT-kn39UmjrxpNLA8EHBVHD4wWk1gh-fJ9eRfYKXI3MPC-WgkSBvqjYH1y9zGJJhzkirL1gh_tdzWOCg5PxpeWJInJhrL6iJpDRYM9SE-vRrnzvwRcKmFkEhCC1kdbeGjmZzhICnOQgBeyGhRr4JloDu9qsNvfNgWnT7TjomYnMQ",
"structured_formatting" : {
"main_text" : "123 Fake Street",
"main_text_matched_substrings" : [
{
"length" : 15,
"offset" : 0
}
],
"secondary_text" : "Chuxiong, Yunnan, China"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Street"
},
{
"offset" : 17,
"value" : "Chuxiong"
},
{
"offset" : 27,
"value" : "Yunnan"
},
{
"offset" : 35,
"value" : "China"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Road, York, PA, United States",
"id" : "0bc5d3a9d8627eeed8da28434a65a5732470ae62",
"matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"place_id" : "EiYxMjMgRmFrZSBSb2FkLCBZb3JrLCBQQSwgVW5pdGVkIFN0YXRlcw",
"reference" : "CmRUAAAAJ2xHFZSOF_UUjGB9RI5TMFUsHWUeo2TBEjUu8lGJ9IDX-hegwwkOvsPADTet0Xqsw0IJ6tlIRByCR52rKJuGrwQ2-dBFiFqfYViJFxsUpTqcuwhyXuieBWhixBI3HdXUEhCXLWrK158AahJT9L0AARhAGhSJ6kXvCjpcQ_UOxLe_lUGddkgj9g",
"structured_formatting" : {
"main_text" : "123 Fake Road",
"main_text_matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"secondary_text" : "York, PA, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Road"
},
{
"offset" : 15,
"value" : "York"
},
{
"offset" : 21,
"value" : "PA"
},
{
"offset" : 25,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Drive, Luray, VA, United States",
"id" : "8f24aaae29e3c66d166b474078a764f67752b6b0",
"matched_substrings" : [
{
"length" : 14,
"offset" : 0
}
],
"place_id" : "EigxMjMgRmFrZSBEcml2ZSwgTHVyYXksIFZBLCBVbml0ZWQgU3RhdGVz",
"reference" : "CmRWAAAAo4DSwUPKoaYCbnXEVLN-XPYjwrdLeu9r5NbhMStAYXbDhRkxfl1kS_8sYA-ppwyiAj2-MpBwTy2-P3Vo8yCEAmy5JqZwBtdImKRHGwCw8fY7UFXYJO7yhaUyFE-41z25EhBU6Ne6JR94DU7zl168LyUhGhS9xQHoi_zd9AMsDfp84w8Ol5hCXQ",
"structured_formatting" : {
"main_text" : "123 Fake Drive",
"main_text_matched_substrings" : [
{
"length" : 14,
"offset" : 0
}
],
"secondary_text" : "Luray, VA, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Drive"
},
{
"offset" : 16,
"value" : "Luray"
},
{
"offset" : 23,
"value" : "VA"
},
{
"offset" : 27,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Lane, Orangeburg, SC, United States",
"id" : "d3d3f49c60871bac676f5872ed7d04bff3a2d737",
"matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"place_id" : "EiwxMjMgRmFrZSBMYW5lLCBPcmFuZ2VidXJnLCBTQywgVW5pdGVkIFN0YXRlcw",
"reference" : "CmRaAAAAWkmzLjcStucl1QuYHjQdip4h7zK9H6WmcnFlVR09FQf4iQSDAb04G1KHC55-ah_za5PaGNtvAf-Qh7EOrVwBcbCvhlIeje_RFJgqPM2mAqi8Joc_pufBOlOjQ8WAlAmGEhBM5xgeFZ0igc1JDxFjbmZ9GhROPsh63HGcp_baMGel8ln3WIUrjg",
"structured_formatting" : {
"main_text" : "123 Fake Lane",
"main_text_matched_substrings" : [
{
"length" : 13,
"offset" : 0
}
],
"secondary_text" : "Orangeburg, SC, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Lane"
},
{
"offset" : 15,
"value" : "Orangeburg"
},
{
"offset" : 27,
"value" : "SC"
},
{
"offset" : 31,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
},
{
"description" : "123 Fake Hollow Road, York, PA, United States",
"id" : "4211cef659a1322f42e85183cb41e75d2b6ae65a",
"matched_substrings" : [
{
"length" : 20,
"offset" : 0
}
],
"place_id" : "Ei0xMjMgRmFrZSBIb2xsb3cgUm9hZCwgWW9yaywgUEEsIFVuaXRlZCBTdGF0ZXM",
"reference" : "CmRbAAAAOVlDirZh2WjzSXj28VM2peJHG9rTiQ57hqtTr94dCLAQezuZJJT4dqFC8B9TFyddBfhDDMrbSwZro9RkLkvLzxb95XHtzfb1ZnlCNVfK9_K4rEHHwcQ7Ndd3l8x5GNXGEhBDc6mw6iyjYcOVZo44mLwvGhSNaBwDy9OgIAyNa8_gvSyQ3bC3cQ",
"structured_formatting" : {
"main_text" : "123 Fake Hollow Road",
"main_text_matched_substrings" : [
{
"length" : 20,
"offset" : 0
}
],
"secondary_text" : "York, PA, United States"
},
"terms" : [
{
"offset" : 0,
"value" : "123 Fake Hollow Road"
},
{
"offset" : 22,
"value" : "York"
},
{
"offset" : 28,
"value" : "PA"
},
{
"offset" : 32,
"value" : "United States"
}
],
"types" : [ "route", "geocode" ]
}
],
"status" : "OK"
}이것은 내가 찾을 수있는 가장 관련성이 높은 문서 이지만이 코드를 사용하여 동일한 접근 방식을 시도하면
DataSet pleaseWork = JsonConvert.DeserializeObject<DataSet>(thisIsMyJsonString);
DataTable pleaseWorkAgain = pleaseWork.Tables["predictions"];
이것은 내가 얻는 오류입니다.
Newtonsoft.Json.JsonSerializationException : 'DataTable을 읽을 때 예기치 않은 JSON 토큰 : StartObject. 경로 'predictions [0] .structured_formatting'
예제의 JSON이 내가 작업하는 것만 큼 깊게 중첩되지 않았기 때문에 발생한다고 생각하지만 완전히 확실하지는 않습니다.
아래 내용이 도움이 될 것입니다.
List<String> addressList = new List<string>();
dynamic pleaseWork = JsonConvert.DeserializeObject(thisIsMyJsonString);
foreach (var obj in pleaseWork.predictions)
{
addressList.Add(obj.description.Value);
}
이 기사는 인터넷에서 수집됩니다. 재 인쇄 할 때 출처를 알려주십시오.
침해가 발생한 경우 연락 주시기 바랍니다[email protected] 삭제
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