详情 - 卫星中心

请求参数

Query 参数

id

string

可选

示例值:

20231212134934062

Header 参数

token

string

可选

Authorization

默认值:

示例代码

Shell

JavaScript

Java

Swift

Go

PHP

Python

HTTP

C

C#

Objective-C

Ruby

OCaml

Dart

R

curl --location --request GET 'http://gykj123.cn:9000/middleground-rsanalysis-model/api/v1/model-predict-task/getById?id=20231212134934062' \
--header 'token: {{access_token}}'

返回响应

🟢200成功

application/json

Body

timestamp

integer

必需

datetime

string

必需

code

integer

必需

message

string

必需

success

boolean

必需

data

object

必需

taskId

string

必需

taskName

string

必需

typeCode

string

必需

typeName

string

必需

modelId

string

必需

modelName

string

必需

modelFile

string

必需

modelUuid

string

必需

labelCode

string

必需

labelName

string

必需

image1Id

string

必需

image1Name

string

必需

image1Path

string

必需

image2Id

string

必需

image2Name

string

必需

image2Path

string

必需

qhdm

string

必需

qhmc

string

必需

resultType

string

必需

userId

string

必需

userName

string

必需

taskStatus

integer

必需

progress

integer

必需

startTime

string

必需

endTime

string

必需

errorMsg

null

必需

resultFile

string

必需

resultUrl

string

必需

resultFileSize

null

必需

thematicmap

null

必需

legend

null

必需

description

string

必需

createTime

string

必需

modifyTime

string

必需

collect

integer

必需

tjxx

string

必需

runTimeString

string

必需

tjxxInfo

array [object {7}]

必需

示例

{
    "timestamp": 1702457845615,
    "datetime": "2023-12-13T16:57:25.615",
    "code": 200,
    "message": "成功",
    "success": true,
    "data": {
        "taskId": "20231212181844205",
        "taskName": "12月12日目标识别温室大棚",
        "typeCode": "2",
        "typeName": "目标识别",
        "modelId": "20231212093825",
        "modelName": "模型二",
        "modelFile": "/data/rsanalysis/modeltrainout/20231212090235_20231212090245519/epoch_10.pth",
        "modelUuid": "20231212090235_20231212090245519",
        "labelCode": "13",
        "labelName": "温室大棚",
        "image1Id": "71c60a35c3544600803693616574bcf9",
        "image1Name": "131023_永清县20230507.tif",
        "image1Path": "/data/remoteimage/减灾中心影像处理/灾害/秋粮/棉花干旱/131023_永清县20230507.tif",
        "image2Id": "b51dd3b1bf694ffd94d26259b1d7594c",
        "image2Name": "131023_永清县20230621.tif",
        "image2Path": "/data/remoteimage/减灾中心影像处理/灾害/秋粮/棉花干旱/131023_永清县20230621.tif",
        "qhdm": "131023",
        "qhmc": "永清县",
        "resultType": ".shp",
        "userId": "192",
        "userName": "dev_admin",
        "taskStatus": 9,
        "progress": 100,
        "startTime": "2023-12-12T18:19:21.368",
        "endTime": "2023-12-12T18:19:23.388",
        "errorMsg": null,
        "resultFile": "/data/rsanalysis/modelpredictout/20231212181844205_20231212181854239/all_shp/131023_永清县20230507/131023_永清县20230507_0_shp/131023_永清县20230507_0.shp",
        "resultUrl": "http://gykj123.cn:9000/middleground-rsanalysis-dynamictile/api/v1/dynamictile/get_model_predict_result_tile?z={z}&x={x}&y={y}&taskId=20231212181844205",
        "resultFileSize": null,
        "thematicmap": null,
        "legend": null,
        "description": "12月12日目标识别温室大棚",
        "createTime": "2023-12-12T18:18:44.205",
        "modifyTime": "2023-12-12T18:18:44.205",
        "collect": 1,
        "tjxx": "[{\"labeldm\":\"07\",\"labelmc\":\"冬小麦\",\"value\":7,\"count\":33,\"area\":3.1,\"percent\":0.67},{\"labeldm\":\"16\",\"labelmc\":\"玉米\",\"value\":16,\"count\":64,\"area\":6.2,\"percent\":0.67}]",
        "runTimeString": "2秒",
        "tjxxInfo": [
            {
                "area": 3.1,
                "labelmc": "冬小麦",
                "color": "#008040",
                "labeldm": "07",
                "count": 33,
                "value": 7,
                "percent": 0.3402061855670103
            },
            {
                "area": 6.2,
                "labelmc": "玉米",
                "color": "#FABF0C",
                "labeldm": "16",
                "count": 64,
                "value": 16,
                "percent": 0.6597938144329897
            }
        ]
    }
}