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根据id查询
GET
http://gykj123.cn:9000/middleground-rsanalysis-algorithm/api/v1/food-task/getByTaskId
最后修改时间:2023-11-17 07:02:16
责任人:未设置
请求参数
Query 参数
taskId
string
可选
示例值:
0014
Header 参数
token
string
可选
默认值:
{{access_token}}
示例代码
Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
请求示例请求示例
Shell
JavaScript
Java
Swift
curl --location --request GET 'http://gykj123.cn:9000/middleground-rsanalysis-algorithm/api/v1/food-task/getByTaskId?taskId=0014' \
--header 'token: {{access_token}}'
返回响应
🟢200成功
application/json
Body
object {0}
示例
{ "timestamp": 1695632339298, "datetime": "2023-09-25T16:58:59.299", "code": 200, "message": "成功", "success": true, "data": { "taskId": "0014", "taskName": "测试任务1", "qhdm": "130533", "qhmc": "威县", "nf": "2023", "types": "1,2,3,4", "yearRoundCroping": "2", "yearRoundCropingStr": "一年两季", "cropStructure": "小麦-玉米", "mainCrops": "07", "imageId": "8ac4157e81274b56af23eb03ae2ff821", "imagePath": "/data/remoteimage/减灾中心影像处理/灾害/秋粮/棉花干旱/130533_威县20230621.tif", "imageType": "S210", "taskStatus": 9, "progress": 100, "startTime": "2023-09-25 12:01:45", "endTime": "2023-09-25 12:03:09", "errorMsg": null, "resultFile": "/data/rsanalysis/result/0014.tif", "resultFileSize": 3423423, "resultUrl": "http://gykj123.cn:9000/middleground-rsanalysis-img-dynamictile/api/v1/wmts/0014?x={x}&y={y}&l={z}&dists=130533&type=zzsxjc", "title": "邢台市威县种植属性监测分布图", "thematicmap": "data:image/png;base64,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