c3254de8c1d444169efed9c3ccfd72cb		2025-01-05 21:15:57.719779	2025-01-05 21:14:53.808264	{"zfactor":"1","i":"/onesis/kt4/xuancheng/result/fel1875893733577326592.tif","o":"/onesis/kt4/xuancheng/result/o1875893734135169024.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	Z 转换因子: 1; 输入栅格 DEM 文件: /onesis/kt4/xuancheng/result/fel1875893733577326592.tif; 输出栅格文件: /onesis/kt4/xuancheng/result/o1875893734135169024.tif; 	\N	7	9a866cc3-c9a0-4c5f-ae94-8a39f6ad2923
b4e6e7c7a02b47cb9cd0e047e146fab7		2025-01-05 19:57:30.837284	2025-01-05 19:56:26.403639	{"fel":"/onesis/kt4/xuancheng/result/fel1875873990355058688.tif","plan":"/onesis/kt4/xuancheng/result/plan1875873991005175808.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nERROR 4: /data/onesis/kt4/xuancheng/result/fel1875873990355058688.tif: No such file or directory\nError opening file /data/onesis/kt4/xuancheng/result/fel1875873990355058688.tif.\n--------------------------------------------------------------------------\nMPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD\nwith errorcode 21.\n\nNOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.\nYou may or may not see output from other processes, depending on\nexactly when Open MPI kills them.\n--------------------------------------------------------------------------\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/xuancheng/result/fel1875873990355058688.tif; 平面曲率栅格: /onesis/kt4/xuancheng/result/plan1875873991005175808.tif; 	\N	7	3b1e6d8e-4054-4109-a136-99153f37b35c
9e220e2b60ee4c16865dcb056004ad5f		2025-01-05 21:15:58.276343	2025-01-05 21:14:53.783127	{"fel":"/onesis/kt4/xuancheng/result/fel1875893733577326592.tif","plan":"/onesis/kt4/xuancheng/result/plan1875893734240026624.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nERROR 4: /data/onesis/kt4/xuancheng/result/fel1875893733577326592.tif: No such file or directory\nError opening file /data/onesis/kt4/xuancheng/result/fel1875893733577326592.tif.\n--------------------------------------------------------------------------\nMPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD\nwith errorcode 21.\n\nNOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.\nYou may or may not see output from other processes, depending on\nexactly when Open MPI kills them.\n--------------------------------------------------------------------------\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/xuancheng/result/fel1875893733577326592.tif; 平面曲率栅格: /onesis/kt4/xuancheng/result/plan1875893734240026624.tif; 	\N	7	9a866cc3-c9a0-4c5f-ae94-8a39f6ad2923
44fdcf08483e426da6dadbce36532aa4		2025-01-05 19:57:30.425121	2025-01-05 19:56:26.356158	{"sd8":"/onesis/kt4/xuancheng/result/sd81875873991214891008.tif","fel":"/onesis/kt4/xuancheng/result/fel1875873990355058688.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nError opening file /data/onesis/kt4/xuancheng/result/fel1875873990355058688.tif.\nERROR 4: /data/onesis/kt4/xuancheng/result/fel1875873990355058688.tif: No such file or directory\n--------------------------------------------------------------------------\nMPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD\nwith errorcode 21.\n\nNOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.\nYou may or may not see output from other processes, depending on\nexactly when Open MPI kills them.\n--------------------------------------------------------------------------\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/xuancheng/result/fel1875873990355058688.tif; 坡度栅格: /onesis/kt4/xuancheng/result/sd81875873991214891008.tif; 	\N	7	3b1e6d8e-4054-4109-a136-99153f37b35c
e9988340352841e99e74f364d60d4a21		2025-01-05 20:03:14.762307	2025-01-05 20:02:09.704702	{"fel":"/onesis/kt4/xuancheng/result/fel1875875430238650368.tif","plan":"/onesis/kt4/xuancheng/result/plan1875875430855213056.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nError opening file /data/onesis/kt4/xuancheng/result/fel1875875430238650368.tif.\nERROR 4: /data/onesis/kt4/xuancheng/result/fel1875875430238650368.tif: No such file or directory\n--------------------------------------------------------------------------\nMPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD\nwith errorcode 21.\n\nNOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.\nYou may or may not see output from other processes, depending on\nexactly when Open MPI kills them.\n--------------------------------------------------------------------------\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/xuancheng/result/fel1875875430238650368.tif; 平面曲率栅格: /onesis/kt4/xuancheng/result/plan1875875430855213056.tif; 	\N	7	eca378da-de4b-439c-86a0-4260ab89d621
96b4f4abe7f44cb79bd57151861a2949		2025-01-05 22:05:18.096185	2025-01-05 22:04:16.203508	{"p":"/onesis/kt4/xuancheng/p1875906158993211392.tif","fel":"/onesis/kt4/xuancheng/fel1875906158779301888.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nError opening file /data/onesis/kt4/xuancheng/fel1875906158779301888.tif.\nERROR 4: /data/onesis/kt4/xuancheng/fel1875906158779301888.tif: No such file or directory\n--------------------------------------------------------------------------\nMPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD\nwith errorcode 21.\n\nNOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.\nYou may or may not see output from other processes, depending on\nexactly when Open MPI kills them.\n--------------------------------------------------------------------------\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/xuancheng/fel1875906158779301888.tif; D8单流向栅格: /onesis/kt4/xuancheng/p1875906158993211392.tif; 	\N	7	2f2eafa3-cefd-4a0c-a429-6d20e166c686
bba1de544f9c4d98a43e98462b7f998c		2025-01-05 19:57:29.350981	2025-01-05 19:56:26.472569	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/xuancheng/result/fel1875873990355058688.tif","METHOD":"0","RESULT":"/onesis/kt4/xuancheng/result/RESULT1875873990459916288.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n____________________________\n\n   #####   ##   #####    ##\n  ###     ###  ##       ###\n   ###   # ## ##  #### # ##\n    ### ##### ##    # #####\n ##### #   ##  ##### #   ##\n____________________________\n\nSAGA Version: 8.1.0\n\nError: input file [/data/onesis/kt4/xuancheng/result/fel1875873990355058688.tif]\nError: Elevation\n____________________________\nlibrary path: /usr/local/lib/saga/\nlibrary name: libta_morphometry\nlibrary     : ta_morphometry\ntool        : Convergence Index\nidentifier  : 1\nauthor      : O.Conrad (c) 2001\nprocessors  : 8 [8]\n____________________________\n\n\nUsage: saga_cmd ta_morphometry 1 [-ELEVATION <str>] [-RESULT <str>] [-METHOD <str>] [-NEIGHBOURS <str>]\n  -ELEVATION:<str> \tElevation\n\tGrid, input\n  -RESULT:<str>    \tConvergence Index\n\tGrid, output\n  -METHOD:<str>    \tMethod\n\tChoice\n\tAvailable Choices:\n\t[0] Aspect\n\t[1] Gradient\n\tDefault: 0\n  -NEIGHBOURS:<str>\tGradient Calculation\n\tChoice\n\tAvailable Choices:\n\t[0] 2 x 2\n\t[1] 3 x 3\n\tDefault: 0\nfailed to create fsnotify watcher: too many open files	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/xuancheng/result/fel1875873990355058688.tif; 地形结构指数: /onesis/kt4/xuancheng/result/RESULT1875873990459916288.tif; 	\N	7	3b1e6d8e-4054-4109-a136-99153f37b35c
332074938efc48a6bd5157f2d4d27eb3		\N	2025-01-05 20:02:09.600478	{"inlayer3":"/onesis/kt4/xuancheng/result/o1875875430960070656.tif","inlayer2":"/onesis/kt4/xuancheng/result/RESULT1875875430339313664.tif","inlayer1":"/onesis/kt4/xuancheng/result/sd81875875431060733952.tif","inlayer0":"/onesis/kt4/xuancheng/result/fel1875875430238650368.tif","inlayer7":"/onesis/kt4/xuancheng/result/twi1875875431270449152.tif","inlayer6":"/onesis/kt4/xuancheng/result/o1875875431165591552.tif","inlayer5":"/onesis/kt4/xuancheng/result/o1875875430754549760.tif","simithred":"0.3","inlayer4":"/onesis/kt4/xuancheng/result/plan1875875430855213056.tif","sample":"/onesis/kt4/xuancheng/input/xc_samples.csv","target":"SOM","uncmap":"/onesis/kt4/xuancheng/result/222.tif","predmap":"/onesis/kt4/xuancheng/result/111.tif"}	f	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	土壤样点: /onesis/kt4/xuancheng/input/xc_samples.csv; 待推测土壤属性: SOM; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/xuancheng/result/111.tif; 空间推测不确定性: /onesis/kt4/xuancheng/result/222.tif; DEM栅格: /onesis/kt4/xuancheng/result/fel1875875430238650368.tif; 汇聚指数: /onesis/kt4/xuancheng/result/RESULT1875875430339313664.tif; 水动力指数: /onesis/kt4/xuancheng/result/o1875875431165591552.tif; 地形湿度指数: /onesis/kt4/xuancheng/result/twi1875875431270449152.tif; 剖面曲率: /onesis/kt4/xuancheng/result/o1875875430754549760.tif; 平面曲率: /onesis/kt4/xuancheng/result/plan1875875430855213056.tif; 坡向: /onesis/kt4/xuancheng/result/o1875875430960070656.tif; 坡度栅格: /onesis/kt4/xuancheng/result/sd81875875431060733952.tif; 	\N	0	eca378da-de4b-439c-86a0-4260ab89d621
c592d978e90f41fa85c7ca8aaa635058		\N	2025-01-05 20:02:09.629811	{"sca":"/onesis/kt4/xuancheng/result/ad81875875430490308608.tif","slp":"/onesis/kt4/xuancheng/result/sd81875875431060733952.tif","twi":"/onesis/kt4/xuancheng/result/twi1875875431270449152.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	汇流累积量: /onesis/kt4/xuancheng/result/ad81875875430490308608.tif; 地形湿度指数: /onesis/kt4/xuancheng/result/twi1875875431270449152.tif; 坡度: /onesis/kt4/xuancheng/result/sd81875875431060733952.tif; 	\N	0	eca378da-de4b-439c-86a0-4260ab89d621
38522caba5ba4125be75af1348652695		2025-01-05 20:03:13.865138	2025-01-05 20:02:09.777916	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/xuancheng/result/fel1875875430238650368.tif","METHOD":"0","RESULT":"/onesis/kt4/xuancheng/result/RESULT1875875430339313664.tif"}	f	\N	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/xuancheng/result/fel1875875430238650368.tif; 地形结构指数: /onesis/kt4/xuancheng/result/RESULT1875875430339313664.tif; 	\N	7	eca378da-de4b-439c-86a0-4260ab89d621
54232e6f02eb4158b1210d58e0809f48		2025-01-05 21:15:58.248314	2025-01-05 21:14:53.757398	{"zfactor":"1","i":"/onesis/kt4/xuancheng/result/fel1875893733577326592.tif","o":"/onesis/kt4/xuancheng/result/o1875893734349078528.tif"}	f	\N	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	z因子: 1; 输入数据: /onesis/kt4/xuancheng/result/fel1875893733577326592.tif; 输出数据: /onesis/kt4/xuancheng/result/o1875893734349078528.tif; 	\N	7	9a866cc3-c9a0-4c5f-ae94-8a39f6ad2923
97e6f5c824074a79848386377f5277a9		\N	2025-01-05 20:02:09.753472	{"sca":"/onesis/kt4/xuancheng/result/ad81875875430490308608.tif","slope":"/onesis/kt4/xuancheng/result/sd81875875431060733952.tif","exponent":"1.0","o":"/onesis/kt4/xuancheng/result/o1875875431165591552.tif"}	f	\N	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/xuancheng/result/ad81875875430490308608.tif; 输出栅格文件: /onesis/kt4/xuancheng/result/o1875875431165591552.tif; 输入坡度 slope 文件: /onesis/kt4/xuancheng/result/sd81875875431060733952.tif; 	\N	0	eca378da-de4b-439c-86a0-4260ab89d621
9027ca4df2e544ca960adcc4f8be5dbf		2025-01-08 16:48:25.82438	2025-01-08 16:48:16.871528	{"fel":"/onesis/kt4/job_results/fel1876913802742726656.tif","plan":"/onesis/kt4/job_results/plan1876913802931470336.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/job_results/fel1876913802742726656.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.197416\nCompute time: 0.152289\nWrite time: 0.156276\nTotal time: 0.505981\n	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/job_results/fel1876913802742726656.tif; 平面曲率栅格: /onesis/kt4/job_results/plan1876913802931470336.tif; 	\N	6	2597e723-9f7e-4601-ba65-dfe3593b7881
97a9d533d7574a57820f3e5bcf609118		2025-01-05 22:02:53.53965	2025-01-05 22:02:47.462749	{"z":"/onesis/kt4/xuancheng/input/dem_xc.tif","fel":"/onesis/kt4/xuancheng/fel1875905787033944064.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/xuancheng/input/dem_xc.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/xuancheng/fel1875905787033944064.tif' failed: No error information\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetProjection'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetGeoTransform'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALGetRasterBand'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALSetRasterNoDataValue'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALFlushCache'.\n\nRaterIO trouble: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nProcesses: 1\nHeader read time: 0.061652\nData read time: 0.083410\nCompute time: 0.151592\nWrite time: 0.004651\nTotal time: 0.301306\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/xuancheng/input/dem_xc.tif; 数字高程模型: /onesis/kt4/xuancheng/fel1875905787033944064.tif; 	\N	6	f4b71fd7-895e-451a-b72b-b546e3588f58
06d36a490af14d2f9740a768b700d12c		2025-01-05 22:05:19.565107	2025-01-05 22:04:16.012647	{"zfactor":"1","i":"/onesis/kt4/xuancheng/fel1875906158779301888.tif","o":"/onesis/kt4/xuancheng/o1875906159320367104.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	Z 转换因子: 1; 输入栅格 DEM 文件: /onesis/kt4/xuancheng/fel1875906158779301888.tif; 输出栅格文件: /onesis/kt4/xuancheng/o1875906159320367104.tif; 	\N	7	2f2eafa3-cefd-4a0c-a429-6d20e166c686
f292651344fc4b678734355c19fea4c5		2025-01-05 22:05:19.374949	2025-01-05 22:04:15.986731	{"fel":"/onesis/kt4/xuancheng/fel1875906158779301888.tif","plan":"/onesis/kt4/xuancheng/plan1875906159429419008.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nError opening file /data/onesis/kt4/xuancheng/fel1875906158779301888.tif.\nERROR 4: /data/onesis/kt4/xuancheng/fel1875906158779301888.tif: No such file or directory\n--------------------------------------------------------------------------\nMPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD\nwith errorcode 21.\n\nNOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.\nYou may or may not see output from other processes, depending on\nexactly when Open MPI kills them.\n--------------------------------------------------------------------------\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/xuancheng/fel1875906158779301888.tif; 平面曲率栅格: /onesis/kt4/xuancheng/plan1875906159429419008.tif; 	\N	7	2f2eafa3-cefd-4a0c-a429-6d20e166c686
e4c69997e1a54aa1a29b529f3277bd5f		2025-01-05 22:03:52.818773	2025-01-05 22:02:47.437194	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/xuancheng/fel1875905787033944064.tif","METHOD":"0","RESULT":"/onesis/kt4/xuancheng/RESULT1875905787138801664.tif"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n____________________________\n\n   #####   ##   #####    ##\n  ###     ###  ##       ###\n   ###   # ## ##  #### # ##\n    ### ##### ##    # #####\n ##### #   ##  ##### #   ##\n____________________________\n\nSAGA Version: 8.1.0\n\nError: input file [/data/onesis/kt4/xuancheng/fel1875905787033944064.tif]\nError: Elevation\n____________________________\nlibrary path: /usr/local/lib/saga/\nlibrary name: libta_morphometry\nlibrary     : ta_morphometry\ntool        : Convergence Index\nidentifier  : 1\nauthor      : O.Conrad (c) 2001\nprocessors  : 8 [8]\n____________________________\n\n\nUsage: saga_cmd ta_morphometry 1 [-ELEVATION <str>] [-RESULT <str>] [-METHOD <str>] [-NEIGHBOURS <str>]\n  -ELEVATION:<str> \tElevation\n\tGrid, input\n  -RESULT:<str>    \tConvergence Index\n\tGrid, output\n  -METHOD:<str>    \tMethod\n\tChoice\n\tAvailable Choices:\n\t[0] Aspect\n\t[1] Gradient\n\tDefault: 0\n  -NEIGHBOURS:<str>\tGradient Calculation\n\tChoice\n\tAvailable Choices:\n\t[0] 2 x 2\n\t[1] 3 x 3\n\tDefault: 0\nfailed to create fsnotify watcher: too many open files	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/xuancheng/fel1875905787033944064.tif; 地形结构指数: /onesis/kt4/xuancheng/RESULT1875905787138801664.tif; 	\N	7	f4b71fd7-895e-451a-b72b-b546e3588f58
1c82dc0e2ddf4ea59a53b5d2499ba537		\N	2025-01-05 22:04:15.871726	{"inlayer3":"/onesis/kt4/xuancheng/o1875906159542665216.tif","inlayer2":"/onesis/kt4/xuancheng/RESULT1875906158888353792.tif","inlayer1":"/onesis/kt4/xuancheng/sd81875906159655911424.tif","inlayer0":"/onesis/kt4/xuancheng/fel1875906158779301888.tif","inlayer7":"/onesis/kt4/xuancheng/twi1875906159874015232.tif","inlayer6":"/onesis/kt4/xuancheng/o1875906159764963328.tif","inlayer5":"/onesis/kt4/xuancheng/o1875906159320367104.tif","simithred":"0.3","inlayer4":"/onesis/kt4/xuancheng/plan1875906159429419008.tif","sample":"/onesis/kt4/xuancheng/input/xc_samples.csv","target":"SOM","uncmap":"/onesis/kt4/xuancheng/2.tif","predmap":"/onesis/kt4/xuancheng/1.tif"}	f	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	土壤样点: /onesis/kt4/xuancheng/input/xc_samples.csv; 待推测土壤属性: SOM; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/xuancheng/1.tif; 空间推测不确定性: /onesis/kt4/xuancheng/2.tif; DEM栅格: /onesis/kt4/xuancheng/fel1875906158779301888.tif; 汇聚指数: /onesis/kt4/xuancheng/RESULT1875906158888353792.tif; 水动力指数: /onesis/kt4/xuancheng/o1875906159764963328.tif; 地形湿度指数: /onesis/kt4/xuancheng/twi1875906159874015232.tif; 剖面曲率: /onesis/kt4/xuancheng/o1875906159320367104.tif; 平面曲率: /onesis/kt4/xuancheng/plan1875906159429419008.tif; 坡向: /onesis/kt4/xuancheng/o1875906159542665216.tif; 坡度栅格: /onesis/kt4/xuancheng/sd81875906159655911424.tif; 	\N	0	2f2eafa3-cefd-4a0c-a429-6d20e166c686
f6eaf16fa38049909938292a18c3e123		\N	2025-01-05 22:04:15.905041	{"sca":"/onesis/kt4/xuancheng/ad81875906159047737344.tif","slp":"/onesis/kt4/xuancheng/sd81875906159655911424.tif","twi":"/onesis/kt4/xuancheng/twi1875906159874015232.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	汇流累积量: /onesis/kt4/xuancheng/ad81875906159047737344.tif; 地形湿度指数: /onesis/kt4/xuancheng/twi1875906159874015232.tif; 坡度: /onesis/kt4/xuancheng/sd81875906159655911424.tif; 	\N	0	2f2eafa3-cefd-4a0c-a429-6d20e166c686
6f3f8f6d679643369494422580a085cd		\N	2025-01-05 22:04:16.039997	{"sca":"/onesis/kt4/xuancheng/ad81875906159047737344.tif","slope":"/onesis/kt4/xuancheng/sd81875906159655911424.tif","o":"/onesis/kt4/xuancheng/o1875906159764963328.tif"}	f	\N	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	输入单位汇水面积 sca 文件: /onesis/kt4/xuancheng/ad81875906159047737344.tif; 输出栅格文件: /onesis/kt4/xuancheng/o1875906159764963328.tif; 输入坡度 slope 文件: /onesis/kt4/xuancheng/sd81875906159655911424.tif; 	\N	0	2f2eafa3-cefd-4a0c-a429-6d20e166c686
5f136048038c432594f786b770c73885		2025-01-05 22:04:21.699836	2025-01-05 22:04:16.097215	{"z":"/onesis/kt4/xuancheng/input/dem_xc.tif","fel":"/onesis/kt4/xuancheng/fel1875906158779301888.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/xuancheng/input/dem_xc.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/xuancheng/fel1875906158779301888.tif' failed: No error information\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetProjection'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetGeoTransform'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALGetRasterBand'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALSetRasterNoDataValue'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALFlushCache'.\n\nRaterIO trouble: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nProcesses: 1\nHeader read time: 0.065507\nData read time: 0.097704\nCompute time: 0.147988\nWrite time: 0.004723\nTotal time: 0.315923\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/xuancheng/input/dem_xc.tif; 数字高程模型: /onesis/kt4/xuancheng/fel1875906158779301888.tif; 	\N	6	2f2eafa3-cefd-4a0c-a429-6d20e166c686
ec7b134c186640e4a548625bfa1eab5d		2025-01-05 22:05:20.861594	2025-01-05 22:04:15.959653	{"zfactor":"1","i":"/onesis/kt4/xuancheng/fel1875906158779301888.tif","o":"/onesis/kt4/xuancheng/o1875906159542665216.tif"}	f	\N	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	z因子: 1; 输入数据: /onesis/kt4/xuancheng/fel1875906158779301888.tif; 输出数据: /onesis/kt4/xuancheng/o1875906159542665216.tif; 	\N	7	2f2eafa3-cefd-4a0c-a429-6d20e166c686
631a50939db3477098c303c0d6e13372		2024-09-16 13:22:12.951279	2024-09-16 13:22:06.413341	{"p":"/onesis/kt4/dem/d8.tif","fel":"/onesis/kt4/dem/dem_meixi_fel.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi_fel.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.087664\nData read time: 0.140173\nCompute Slope time: 0.245201\nWrite Slope time: 0.075415\nResolve Flat time: 1.771030\nWrite Flat time: 0.049526\nTotal time: 2.369009\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)-09161322	数字高程模型: /onesis/kt4/dem/dem_meixi_fel.tif; D8单流向栅格: /onesis/kt4/dem/d8.tif; 	\N	6	\N
7b2a7128ab1846cb8e73c25e59178172	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:44:53.719967	2024-09-29 19:44:46.204879	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","units":"degrees","o":"/onesis/kt4/test_data/terr/terr/result/slope.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.27s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	梅溪流域-坡度（三阶二元泰勒多项式）-09291944	z因子: 1; 单位: degrees; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 输出数据: /onesis/kt4/test_data/terr/terr/result/slope.tif; 	\N	6	\N
6b0ece5c4a8f4d3cac38c23353ac13ef	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:05:54.433765	2024-09-29 20:05:49.025057	{"sd8":"/onesis/kt4/results/10_2_3.tif","fel":"/onesis/kt4/test_data/terr/terr/result/filledDEM.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/result/filledDEM.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.049264\nData read time: 0.135217\nCompute Slope time: 0.225226\nWrite Slope time: 0.083862\nResolve Flat time: 1.625767\nWrite Flat time: 0.037572\nTotal time: 2.156907\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	梅溪流域-坡度（最大下坡）-09292005	数字高程模型: /onesis/kt4/test_data/terr/terr/result/filledDEM.tif; 坡度栅格: /onesis/kt4/results/10_2_3.tif; 	\N	6	\N
ad84688877ad4b0ea1ec430937e9d5e0		2025-01-08 16:49:15.109903	2025-01-08 16:48:16.89727	{"log":"false","zfactor":"","i":"/onesis/kt4/job_results/fel1876913802742726656.tif","o":"/onesis/kt4/job_results/o1876913802839195648.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/job_results/fel1876913802742726656.tif; 对数转换输出: false; Z 转换因子: ; 输出栅格文件: /onesis/kt4/job_results/o1876913802839195648.tif; 	\N	7	2597e723-9f7e-4601-ba65-dfe3593b7881
1bc6c681581d458db0d523ff3fe0f416	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:24:14.68402	2024-09-29 19:24:10.67839	{"ssa":"/onesis/kt4/test_data/terr/terr/acc_d8.tif","src":"/onesis/kt4/test_data/terr/result/10_1_2.tif","thresh":"100.0"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nThreshold version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/acc_d8.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.017832\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/test_data/terr/result/10_1_2.tif' failed: No error information\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetProjection'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetGeoTransform'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALGetRasterBand'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALSetRasterNoDataValue'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nRaterIO trouble: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALFlushCache'.\n\nfailed to create fsnotify watcher: too many open files	19a662d0-b39e-35cb-a063-0e1c13ee9e6b	梅溪流域-河网提取（栅格）-09291924	阈值: 100.0; d8汇流累积量栅格: /onesis/kt4/test_data/terr/terr/acc_d8.tif; 提取的河网栅格: /onesis/kt4/test_data/terr/result/10_1_2.tif; 	\N	6	\N
9a1db8a4dcac420dbb55cdb573748474		2024-10-08 01:32:50.043275	2024-10-08 01:32:46.097082	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/filledDEM.tif","o":"/onesis/kt4/job_results/10-2-9.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.28s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）-013245	输入数据: /onesis/kt4/test_data/terr/filledDEM.tif; z因子: 1; 输出数据: /onesis/kt4/job_results/10-2-9.tif; 	\N	6	\N
477c6c9d70c642318e58e77507a19137	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:02:09.8495	2024-09-29 20:02:03.920493	{"sd8":"/onesis/kt4/test_data/terr/result/10_2_3.tif","fel":"/onesis/kt4/test_data/terr/terr/result/filledDEM.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/result/filledDEM.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/test_data/terr/result/10_2_3.tif' failed: No error information\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetProjection'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetGeoTransform'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALGetRasterBand'.\n\nRaterIO trouble: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALSetRasterNoDataValue'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALFlushCache'.\n\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.043474\nData read time: 0.138921\nCompute Slope time: 0.229484\nWrite Slope time: 0.009264\nResolve Flat time: 1.739879\nWrite Flat time: 0.037172\nTotal time: 2.198194\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	梅溪流域-坡度（最大下坡）-09292002	数字高程模型: /onesis/kt4/test_data/terr/terr/result/filledDEM.tif; 坡度栅格: /onesis/kt4/test_data/terr/result/10_2_3.tif; 	\N	6	\N
8b7fcd7220e2430c83b3157fe01f1aa6	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:59:04.848894	2024-09-29 19:59:00.549608	{"sca":"/onesis/kt4/test_data/terr/terr/result/acc_d8.tif","slp":"/onesis/kt4/test_data/terr/terr/result/slope.tif","twi":"/onesis/kt4/results/10_2_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/result/slope.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/test_data/terr/terr/result/acc_d8.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037636\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	梅溪流域-地形湿度指数-09291958	坡度: /onesis/kt4/test_data/terr/terr/result/slope.tif; 汇流累积量: /onesis/kt4/test_data/terr/terr/result/acc_d8.tif; 地形湿度指数: /onesis/kt4/results/10_2_1.tif; 	\N	6	\N
a184e3f158bb46659bad0454dc5d3c71		2024-09-29 21:05:25.849107	2024-09-29 21:05:13.4291	{"r":"/onesis/kt4/results/","d":"incidence","f":"/onesis/kt4/test_data/regr/NTD.csv","i":"watershed,soiltype,elevation"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	51dccf46-b510-38ef-8fda-fd051421cac4	地理探测器-09292104	数据文件: /onesis/kt4/test_data/regr/NTD.csv; 输出路径: /onesis/kt4/results/; 因变量: incidence; 自变量: watershed,soiltype,elevation; 	\N	6	\N
e0e6aebdf16a4d078128c49880ae5a61	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:12:27.644293	2024-09-29 20:12:24.127334	{"fel":"/onesis/kt4/test_data/terr/terr/filledDEM.tif","plan":"/onesis/kt4/results/10_2_7.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/test_data/terr/terr/filledDEM.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.186065\nCompute time: 0.120149\nWrite time: 0.107948\nTotal time: 0.414162\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	梅溪流域-平面曲率-09292012	数字高程模型: /onesis/kt4/test_data/terr/terr/filledDEM.tif; 平面曲率栅格: /onesis/kt4/results/10_2_7.tif; 	\N	6	\N
647a9c3663f6486790032411807f42cc		2024-09-30 10:20:11.439704	2024-09-30 10:20:07.634681	{"p":"/onesis/kt4/results/d8_flow_wcl.tif","fel":"/onesis/kt4/dsm_case/dem_meixi.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 21443 flats to resolve.\nDraining flats towards lower adjacent terrain\n........\nDraining flats away from higher adjacent terrain\n.....\nSetting directions\nIteration complete. Number of flats remaining: 3\nDraining flats towards lower adjacent terrain\n.\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.045886\nData read time: 0.073690\nCompute Slope time: 0.231356\nWrite Slope time: 0.070226\nResolve Flat time: 0.192341\nWrite Flat time: 0.051763\nTotal time: 0.665262\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)-09301020	数字高程模型: /onesis/kt4/dsm_case/dem_meixi.tif; D8单流向栅格: /onesis/kt4/results/d8_flow_wcl.tif; 	\N	6	\N
4437bcceec4347188d52671faa0b2d8b	e90216d682a74f59915ec2b6fa2f87c5	2024-09-30 15:06:22.261082	2024-09-30 15:06:18.422704	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","units":"degrees","o":"/onesis/kt4/test_data/terr/terr/slope_degree.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.28s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	梅溪流域-坡度（三阶二元泰勒多项式）-09301506	z因子: 1; 单位: degrees; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 输出数据: /onesis/kt4/test_data/terr/terr/slope_degree.tif; 	\N	6	\N
3b36243b039d439cbdbbd115b134cc85		2024-09-30 17:16:02.529435	2024-09-30 17:15:47.634151	{"dLon_index":"4","dLat_index":"5","od":"/onesis/kt4/test_data/cluster/ODflow_taxi.csv","oLat_index":"2","odcluster":"/onesis/kt4/test_data/cluster/kmeans_res","k":"4","id_index":"0","oLon_index":"1"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ sort -t_ -k4 -n\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-kmeans --class com.igsnrr.toolbox.flow.KClu.KMeansRunner --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-kmeans --class com.igsnrr.toolbox.flow.KClu.KMeansRunner --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar /data/onesis/kt4/test_data/cluster/ODflow_taxi.csv /data/onesis/kt4/test_data/cluster/kmeans_res 0 1 2 4 5 4\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/09/30 09:15:49 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	a8fc6650-aba7-3955-8e5e-448a2e60f117	地理流的Kmeans聚类-09301715	流数据文件: /onesis/kt4/test_data/cluster/ODflow_taxi.csv; 索引: 0; 索引: 1; 索引: 2; 索引: 4; 索引: 5; K值: 4; 流聚类结果存储路径: /onesis/kt4/test_data/cluster/kmeans_res; 	\N	6	\N
a7cd03cfbfd547dcad497366832ab2ec		2024-09-30 16:44:01.04643	2024-09-30 16:42:01.719347	{"od_input":"/onesis/kt4/test_data/interp/phone_flows.csv","sample_index":"0,1,2,3,4","od_interp":"/onesis/kt4/test_data/interp/results/flow_interp_result.txt","od_sample":"/onesis/kt4/test_data/interp/phone_flows.csv","input_index":"0,1,2,3"}	t	Pod Status: Running\nInitialized: True\nReady: True\nContainersReady: True\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-nn --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_nearestNeighbor/toolbox.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-nn --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_nearestNeighbor/toolbox.jar /data/onesis/kt4/test_data/interp/phone_flows.csv /data/onesis/kt4/test_data/interp/results/flow_interp_result.txt /data/onesis/kt4/test_data/interp/phone_flows.csv 0,1,2,3,4 0,1,2,3\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/09/30 08:42:59 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	176bdabd-ac85-3dbd-bf0d-e84584a24489	地理流的最邻近插值-09301642	样本流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 待插值流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 索引: 0,1,2,3,4; 索引: 0,1,2,3; 插值结果存储路径: /onesis/kt4/test_data/interp/results/flow_interp_result.txt; 	\N	7	\N
5d401a725764423686555cef1b75a6c4		2024-10-05 05:27:57.040515	2024-10-04 17:27:04.876356	{"inlayer1":"/onesis/kt4/test_data/interp/slope_25.tif","inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	Pod Status: Running\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/data/onesis/kt4/test_data/interp/dem_25.tif/data/onesis/kt4/test_data/interp/dem_25.tif\nLoading data ...\nTransformation operator() function called.\ncompute layer size: 27 43\nrank 0. avg compt load: 28462\n\nRunning prediction method ...\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/test_data/interp/results/zxh_org.tif' failed: No error information\n/data/onesis/kt4/test_data/interp/dem_25.tif/data/onesis/kt4/test_data/interp/dem_25.tif\rCompleted     0%\rCompleted   0.1%\rCompleted   0.2%\rCompleted   0.3%\rCompleted   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21.4%\rCompleted  21.5%\rCompleted  21.6%\rCompleted  21.7%\rCompleted  21.8%\rCompleted  21.9%\rCompleted    22%\rCompleted  22.1%\rCompleted  22.2%\rCompleted  22.3%\rCompleted  22.4%\rCompleted  22.5%\rCompleted  22.6%\rCompleted  22.7%\rCompleted  22.8%\rCompleted  22.9%\rCompleted    23%\rCompleted  23.1%\rCompleted  23.2%\rCompleted  23.3%\rCompleted  23.4%\rCompleted    24%\rCompleted  24.1%\rCompleted  24.2%\rCompleted  24.3%\rCompleted  24.4%\rCompleted  24.5%\rCompleted  24.6%\rCompleted  24.7%\rCompleted  24.8%\rCompleted  24.9%\rCompleted    25%\rCompleted  25.1%\rCompleted  25.2%\rCompleted  25.3%\rCompleted  25.4%\rCompleted  25.5%\rCompleted   100%poDatasetdest is NULL\n/ipsm/codes/3rdparty/pargo/gpro/rasterLayer.h rowWriteFile Error: create file failed!\nfailed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-172702	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; 	\N	7	\N
838ab643b2e24ff29863a188e6f476a5		2024-10-04 18:49:56.049858	2024-10-04 18:49:00.954935	{"inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org_ipsm.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-184900	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org_ipsm.tif; 	\N	7	\N
e0208501ef6442cba85ba60d464d8c7f		2024-10-01 15:07:24.254193	2024-10-01 15:07:19.799108	{"p":"/onesis/kt4/job_results/33.tif","fel":"/onesis/kt4/dsm_case/dem_meixi.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 21443 flats to resolve.\nDraining flats towards lower adjacent terrain\n........\nDraining flats away from higher adjacent terrain\n.....\nSetting directions\nIteration complete. Number of flats remaining: 3\nDraining flats towards lower adjacent terrain\n.\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.073204\nData read time: 0.069154\nCompute Slope time: 0.229593\nWrite Slope time: 0.069400\nResolve Flat time: 0.168062\nWrite Flat time: 0.045302\nTotal time: 0.654714\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)-10011506	数字高程模型: /onesis/kt4/dsm_case/dem_meixi.tif; D8单流向栅格: /onesis/kt4/job_results/33.tif; 	\N	6	\N
b1d42e70fb3d4795bd8c5c57e96d1eeb		2024-10-08 23:14:29.027973	2024-10-08 11:12:58.081405	{"out_type":"cells","pntr":"false","i":"/onesis/kt4/job_results/10-1-4.tif","esri_pntr":"false","o":"/onesis/kt4/job_results/test.tif"}	t	Pod Status: Failed\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1106', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:thread '58\n<unnamed>' panicked at 'note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace\nindex out of bounds: the len is 129 but the index is 1149', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1142', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread 'thread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1139', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\n<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1132', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1123', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1117', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nFlow directions: 0%\nFlow directions: 1%\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1111', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-111255	输出类型: cells; 输入栅格格式: false; 输入D8方向文件: false; 输入数据: /onesis/kt4/job_results/10-1-4.tif; 输出数据: /onesis/kt4/job_results/test.tif; 	\N	7	\N
f7e3535806764072bbb90fcad2ece5d9		2024-10-04 19:10:42.334041	2024-10-04 19:10:23.701159	{"od_input":"/onesis/kt4/test_data/interp/phone_flows.csv","i":"2","sample_index":"0,1,2,3,4","od_interp":"/onesis/kt4/job_results/flowidwresult","od_sample":"/onesis/kt4/test_data/interp/phone_flows.csv","input_index":"0,1,2,3"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-idw --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_IDW/toolbox.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-idw --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_IDW/toolbox.jar /data/onesis/kt4/test_data/interp/phone_flows.csv /data/onesis/kt4/job_results/flowidwresult /data/onesis/kt4/test_data/interp/phone_flows.csv 0,1,2,3,4 0,1,2,3 2\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/04 11:10:26 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	2a2352b3-e975-3d22-8813-b313195b9b8a	地理流的IDW插值-191022	样本流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 待插值流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 索引: 0,1,2,3,4; 索引: 0,1,2,3; 权重系数: 2; 插值结果存储路径: /onesis/kt4/job_results/flowidwresult; 	\N	6	\N
67adf9b41b8d41d98dcd2d7ef004ee4f		2024-10-04 01:10:23.216957	2024-10-04 01:10:19.202245	{"z":"/onesis/kt4/dem/dem_meixi_fel.tif","fel":"/onesis/kt4/job_results/dem_fel1004.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi_fel.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.076250\nData read time: 0.136299\nCompute time: 0.285973\nWrite time: 0.090761\nTotal time: 0.589283\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）-011017	数字高程模型: /onesis/kt4/dem/dem_meixi_fel.tif; 数字高程模型: /onesis/kt4/job_results/dem_fel1004.tif; 	\N	6	\N
0b93864105ca462f9454450a08c47e1c		2024-10-04 19:14:10.433055	2024-10-04 19:13:55.482274	{"dLon_index":"3","cluster_id":"5","dLat_index":"4","oLat_index":"2","center":"/onesis/kt4/job_results/calcen_result","odcluster":"/onesis/kt4/test_data/cluster/ODflow_cluster.csv","id_index":"0","oLon_index":"1"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-calcenter --class com.igsnrr.toolbox.flow.utils.CalCenter --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-calcenter --class com.igsnrr.toolbox.flow.utils.CalCenter --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar /data/onesis/kt4/test_data/cluster/ODflow_cluster.csv /data/onesis/kt4/job_results/calcen_result 0 1 2 3 4 5\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/04 11:13:58 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	3d307f2c-2101-31d9-922f-d057b3d2ac94	地理流的聚类中心计算-191354	流聚类文件: /onesis/kt4/test_data/cluster/ODflow_cluster.csv; 索引: 0; 索引: 1; 索引: 2; 索引: 3; 索引: 4; 索引: 5; 聚类中心计算结果: /onesis/kt4/job_results/calcen_result; 	\N	6	\N
2bea70d4e05042508f31b080e93944e8		2024-10-04 18:22:50.724176	2024-10-04 18:22:47.250391	{"fix_flats":"true","i":"/onesis/kt4/test_data/interp/dem_25.tif","o":"/onesis/kt4/test_data/interp/results/dem_filled.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n******************************\n* Welcome to FillDepressions *\n* Powered by WhiteboxTools   *\n* www.whiteboxgeo.com        *\n******************************\nReading data...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.000036\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 10%\nFixing flats: 11%\nFixing flats: 12%\nFixing flats: 13%\nFixing flats: 14%\nFixing flats: 15%\nFixing flats: 16%\nFixing flats: 17%\nFixing flats: 18%\nFixing flats: 19%\nFixing flats: 20%\nFixing flats: 21%\nFixing flats: 22%\nFixing flats: 23%\nFixing flats: 24%\nFixing flats: 25%\nFixing flats: 26%\nFixing flats: 27%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 31%\nFixing flats: 32%\nFixing flats: 33%\nFixing flats: 34%\nFixing flats: 35%\nFixing flats: 36%\nFixing flats: 37%\nFixing flats: 38%\nFixing flats: 39%\nFixing flats: 40%\nFixing flats: 41%\nFixing flats: 42%\nFixing flats: 43%\nFixing flats: 44%\nFixing flats: 45%\nFixing flats: 46%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 54%\nFixing flats: 55%\nFixing flats: 56%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 61%\nFixing flats: 62%\nFixing flats: 63%\nFixing flats: 64%\nFixing flats: 65%\nFixing flats: 66%\nFixing flats: 67%\nFixing flats: 68%\nFixing flats: 69%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 96%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.20s\nfailed to create fsnotify watcher: too many open files	9873c5b1-00a8-35e6-ba4a-3e69b2a6b608	填洼（填平）-182245	修整平面: true; 输入数据: /onesis/kt4/test_data/interp/dem_25.tif; 输出数据: /onesis/kt4/test_data/interp/results/dem_filled.tif; 	\N	6	\N
01a9c07954d743fe986da3df44c1c687		2024-12-06 19:29:00.420532	2024-12-06 19:28:56.776941	{"geo_coord":"x,y","cluster_result":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/cluster_result.csv","output_pred":"/onesis/kt4/job_results/air-03-1206.csv","iVariables":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/iVariables.json","air_quality":"PM2.5","pred_data_path":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\n分区: 2 参数: [-9.17260618e+01  1.15499769e+00 -7.40924971e-02  2.99461750e-01\n -1.52553604e+00] r2: 0.04847284127008744\n分区: 1 参数: [-1.14783449e+01  1.03024321e+00 -1.77088043e-01  8.22878304e-03\n -7.51832896e-01] r2: 0.1362039547508621\n分区: 0 参数: [-16.20075884   0.95799733  -0.11488578   0.04130823   0.50384864] r2: 0.12968084093122045\n分区: 3 参数: [-6.72655057  0.88644638 -0.06857409 -0.07571871  1.39279085] r2: 0.13450412913640308\n[-16.20075884   0.95799733  -0.11488578   0.04130823   0.50384864]\n(236, 4)\n(5,)\n(236,)\n[396.17703522 440.11946815 465.78721446 149.03330726 239.2668603\n 411.39272227 557.69985264 198.12144644 126.69475322 320.41926066\n 171.61539574 167.18630816 113.70423662 103.22910083 156.62455397\n 152.23310223 106.19298763 275.74487015 209.77656399 271.03594089\n 158.31059713 197.40603472 222.63380295 256.44311477 260.1729824\n 331.11126276 254.43295789 431.16323707 418.62896274 309.31697001\n 236.08356268  78.78841984  60.03903233  64.8285143  148.37529542\n 141.52021318 312.78381693 227.76116587 105.06769494 146.28788292\n 833.97199623 424.09415782 463.79435731 202.71642708 234.34897757\n 280.69036558 350.75215705  97.03563916 102.97617794  93.95096881\n  91.3990686  100.43586958 351.05256207 118.08563428 118.61950159\n 125.70559466 146.71765689 157.13819144  77.93290573 276.18537576\n 403.46214467 390.36298146 544.25834349  96.99605583  45.26018141\n 145.5668589  843.39800678 848.70295619 416.25326901 317.30945353\n 267.59200806 225.23289553 191.26128042 149.50221839 102.74888203\n 351.86295938 572.73696958 508.38880794 485.6235902  604.13122463\n 694.14006136 154.4216226  401.48954481 438.14847849 420.46670392\n 106.44329187  74.48481909  68.20073605  91.52043078 141.01019813\n 143.58265439  95.1365097  153.74951554 239.79164642 109.34951\n 107.48138924 103.50260982 221.95156767 245.26226003 201.71236032\n 529.84144821 396.5102584  206.08247047 272.45981367 266.80406409\n 491.74598665 448.9110954  349.55809293 392.57367448 388.18399575\n 397.23489106 457.20939221 770.78712227 276.74119245  67.45542648\n 380.36229495 476.59524164  43.48904215 640.88797899 280.06835662\n 845.44415635 749.43622287 402.5170224  700.70622244 839.7164304\n 310.04455601 201.44935419 188.48758681 445.29015938  96.1750258\n 178.36481854 166.65283042 174.84143746 246.92569813 162.00815874\n 353.88387704 332.95704806 291.27950985 185.18374818 581.4469131\n 254.11136302  94.48195865 259.91685583 180.71111809 196.92510013\n  72.38242603 364.29761555 242.55990169 149.79238673 498.03252546\n  55.89859889  69.40310519 308.3773301  267.07341838 274.40345295\n 339.40426836 376.78302989 357.02368093 325.82452504 276.62242526\n 332.61486537 125.99811546 144.61993618 118.52033303 135.19517623\n 120.835986   120.33575073 300.16128656 459.06235963 396.68253605\n 541.48335696 369.40599752 395.55008862 330.79240091 322.48031196\n 450.03666446 375.22849345 414.42847136 220.84641959 127.21178498\n 323.08086731 459.36437395 181.22939056 459.48752461 236.26781916\n 450.1962574  320.79503976 506.16126829 336.63394473 373.47717222\n 670.49744871 265.28517739 135.90710619 274.94896314 250.71209262\n 328.73968982 163.74610484 296.72835586 255.25745771 297.99748595\n 407.45734092 651.26657424 473.82825884 351.1842736  125.40313417\n  80.05780964  60.8731675  106.6258979  298.50186774  80.61790271\n  58.83653333  87.8784506   64.29725017  71.26237703  76.19169259\n 274.43725859 145.23515721 161.33597113 193.74639693 227.59942663\n 507.98745965 354.32328377 139.54759323 340.54707414 306.34871899\n 108.64584096 232.33494846 135.05560146 150.90761716 195.18844667\n 222.18795846 547.43333005 449.88763781  54.61502136 147.90030662\n 382.6595909 ]\n	e064bcfe-b606-39a2-b35f-09f1f9944f89	空气质量多元线性回归预测-192855	待预测的空气质量指标: PM2.5; 气象站点地理坐标: x,y; 各分区中的最优自变量和权重结果: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/iVariables.json; 聚类分区结果文件: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/cluster_result.csv; 待预测的空气质量数据集: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv; 空气质量预测结果输出文件: /onesis/kt4/job_results/air-03-1206.csv; 	\N	6	\N
a501962808164fe2b8ffb7bbef792dfb		2024-10-04 19:15:00.19083	2024-10-04 19:14:43.944834	{"dLon_index":"4","dLat_index":"5","od":"/onesis/kt4/test_data/cluster/ODflow_taxi.csv","oLat_index":"3","odcluster":"/onesis/kt4/job_results/flow_kmean_res","k":"4","id_index":"0","oLon_index":"2"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-kmeans --class com.igsnrr.toolbox.flow.KClu.KMeansRunner --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-kmeans --class com.igsnrr.toolbox.flow.KClu.KMeansRunner --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar /data/onesis/kt4/test_data/cluster/ODflow_taxi.csv /data/onesis/kt4/job_results/flow_kmean_res 0 2 3 4 5 4\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/04 11:14:46 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	a8fc6650-aba7-3955-8e5e-448a2e60f117	地理流的Kmeans聚类-191443	流数据文件: /onesis/kt4/test_data/cluster/ODflow_taxi.csv; 索引: 0; 索引: 2; 索引: 3; 索引: 4; 索引: 5; K值: 4; 流聚类结果存储路径: /onesis/kt4/job_results/flow_kmean_res; 	\N	6	\N
17069da7abda4323a8b42cbd656291b8		2024-10-05 14:14:44.659115	2024-10-05 14:14:41.213604	{"i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","dist":"5","fill":"true","min_dist":"true","o":"/onesis/kt4/test_data/terr/result/filled_meixi.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*****************************************\n* Welcome to BreachDepressionsLeastCost *\n* Powered by WhiteboxTools              *\n* www.whiteboxgeo.com                   *\n*****************************************\nReading data...\nFinding pits: 0%\nFinding pits: 1%\nFinding pits: 2%\nFinding pits: 3%\nFinding pits: 4%\nFinding pits: 5%\nFinding pits: 6%\nFinding pits: 7%\nFinding pits: 8%\nFinding pits: 9%\nFinding pits: 10%\nFinding pits: 11%\nFinding pits: 12%\nFinding pits: 13%\nFinding pits: 14%\nFinding pits: 15%\nFinding pits: 16%\nFinding pits: 17%\nFinding pits: 18%\nFinding pits: 19%\nFinding pits: 20%\nFinding pits: 21%\nFinding pits: 22%\nFinding pits: 23%\nFinding pits: 24%\nFinding pits: 25%\nFinding pits: 26%\nFinding pits: 27%\nFinding pits: 28%\nFinding pits: 29%\nFinding pits: 30%\nFinding pits: 31%\nFinding pits: 32%\nFinding pits: 33%\nFinding pits: 34%\nFinding pits: 35%\nFinding pits: 36%\nFinding pits: 37%\nFinding pits: 38%\nFinding pits: 39%\nFinding pits: 40%\nFinding pits: 41%\nFinding pits: 42%\nFinding pits: 43%\nFinding pits: 44%\nFinding pits: 45%\nFinding pits: 46%\nFinding pits: 47%\nFinding pits: 48%\nFinding pits: 49%\nFinding pits: 50%\nFinding pits: 51%\nFinding pits: 52%\nFinding pits: 53%\nFinding pits: 54%\nFinding pits: 55%\nFinding pits: 56%\nFinding pits: 57%\nFinding pits: 58%\nFinding pits: 59%\nFinding pits: 60%\nFinding pits: 61%\nFinding pits: 62%\nFinding pits: 63%\nFinding pits: 64%\nFinding pits: 65%\nFinding pits: 66%\nFinding pits: 67%\nFinding pits: 68%\nFinding pits: 69%\nFinding pits: 70%\nFinding pits: 71%\nFinding pits: 72%\nFinding pits: 73%\nFinding pits: 74%\nFinding pits: 75%\nFinding pits: 76%\nFinding pits: 77%\nFinding pits: 78%\nFinding pits: 79%\nFinding pits: 80%\nFinding pits: 81%\nFinding pits: 82%\nFinding pits: 83%\nFinding pits: 84%\nFinding pits: 85%\nFinding pits: 86%\nFinding pits: 87%\nFinding pits: 88%\nFinding pits: 89%\nFinding pits: 90%\nFinding pits: 91%\nFinding pits: 92%\nFinding pits: 93%\nFinding pits: 94%\nFinding pits: 95%\nFinding pits: 96%\nFinding pits: 97%\nFinding pits: 98%\nFinding pits: 99%\nFinding pits: 100%\nBreaching: 0%\nBreaching: 1%\nBreaching: 2%\nBreaching: 3%\nBreaching: 4%\nBreaching: 5%\nBreaching: 6%\nBreaching: 7%\nBreaching: 8%\nBreaching: 9%\nBreaching: 10%\nBreaching: 11%\nBreaching: 12%\nBreaching: 13%\nBreaching: 14%\nBreaching: 15%\nBreaching: 16%\nBreaching: 17%\nBreaching: 18%\nBreaching: 19%\nBreaching: 20%\nBreaching: 21%\nBreaching: 22%\nBreaching: 23%\nBreaching: 24%\nBreaching: 25%\nBreaching: 26%\nBreaching: 27%\nBreaching: 28%\nBreaching: 29%\nBreaching: 30%\nBreaching: 31%\nBreaching: 32%\nBreaching: 33%\nBreaching: 34%\nBreaching: 35%\nBreaching: 36%\nBreaching: 37%\nBreaching: 38%\nBreaching: 39%\nBreaching: 40%\nBreaching: 41%\nBreaching: 42%\nBreaching: 43%\nBreaching: 44%\nBreaching: 45%\nBreaching: 46%\nBreaching: 47%\nBreaching: 48%\nBreaching: 49%\nBreaching: 50%\nBreaching: 51%\nBreaching: 52%\nBreaching: 53%\nBreaching: 54%\nBreaching: 55%\nBreaching: 56%\nBreaching: 57%\nBreaching: 58%\nBreaching: 59%\nBreaching: 60%\nBreaching: 61%\nBreaching: 62%\nBreaching: 63%\nBreaching: 64%\nBreaching: 65%\nBreaching: 66%\nBreaching: 67%\nBreaching: 68%\nBreaching: 69%\nBreaching: 70%\nBreaching: 71%\nBreaching: 72%\nBreaching: 73%\nBreaching: 74%\nBreaching: 75%\nBreaching: 76%\nBreaching: 77%\nBreaching: 78%\nBreaching: 79%\nBreaching: 80%\nBreaching: 81%\nBreaching: 82%\nBreaching: 83%\nBreaching: 84%\nBreaching: 85%\nBreaching: 86%\nBreaching: 87%\nBreaching: 88%\nBreaching: 89%\nBreaching: 90%\nBreaching: 91%\nBreaching: 92%\nBreaching: 93%\nBreaching: 94%\nBreaching: 95%\nBreaching: 96%\nBreaching: 97%\nBreaching: 98%\nBreaching: 99%\nBreaching: 100%\nNum. solved pits: 19678\nNum. unsolved pits: 1765\nFilling remaining depressions...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.00001\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 10%\nFixing flats: 11%\nFixing flats: 12%\nFixing flats: 13%\nFixing flats: 14%\nFixing flats: 15%\nFixing flats: 16%\nFixing flats: 17%\nFixing flats: 19%\nFixing flats: 20%\nFixing flats: 21%\nFixing flats: 22%\nFixing flats: 23%\nFixing flats: 25%\nFixing flats: 26%\nFixing flats: 27%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 31%\nFixing flats: 33%\nFixing flats: 34%\nFixing flats: 36%\nFixing flats: 37%\nFixing flats: 38%\nFixing flats: 40%\nFixing flats: 42%\nFixing flats: 43%\nFixing flats: 44%\nFixing flats: 46%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 55%\nFixing flats: 56%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 61%\nFixing flats: 62%\nFixing flats: 63%\nFixing flats: 64%\nFixing flats: 68%\nFixing flats: 69%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.100s\nfailed to create fsnotify watcher: too many open files	d398ef98-1395-3a6a-bab3-e2e7301cc13b	填洼（降低边缘洼地高度）-141440	最小距离: true; 填充: true; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 距离: 5; 输出数据: /onesis/kt4/test_data/terr/result/filled_meixi.tif; 	\N	6	\N
48e6b50440a54245877647f32f98d515		2024-10-05 17:08:13.734285	2024-10-05 17:07:56.603038	{"od_index":"0,1,2,3,4","od_gearyc":"/onesis/kt4/job_results/gearyc_res","od":"/onesis/kt4/test_data/interp/phone_flows.csv"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-gearyc --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_GearyC/toolbox.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-gearyc --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_GearyC/toolbox.jar /data/onesis/kt4/test_data/interp/phone_flows.csv /data/onesis/kt4/job_results/gearyc_res 0,1,2,3,4\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/05 09:07:58 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	93db00fe-1ef3-3bc6-8d4f-b8fb5d45c72d	地理流的Geary'C指数分析-170755	流数据文件: /onesis/kt4/test_data/interp/phone_flows.csv; 索引: 0,1,2,3,4; 输出数据文件: /onesis/kt4/job_results/gearyc_res; 	\N	6	\N
ec36621528104108a8c972b269567eba		2024-10-05 17:51:52.384187	2024-10-05 17:51:34.334754	{"od_index":"0,2,3,5,6","loc_index":"0,1","od":"/onesis/kt4/test_data/statis/beijing_odflow_5days.csv","locations":"/onesis/kt4/test_data/statis/grid_6ring_500.csv","loc_i":"/onesis/kt4/job_results/Indexresult"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-Iindex --class FlowIndex.FlowI_index --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_I_index/Flow_I_index.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-Iindex --class FlowIndex.FlowI_index --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_I_index/Flow_I_index.jar /data/onesis/kt4/test_data/statis/grid_6ring_500.csv /data/onesis/kt4/test_data/statis/beijing_odflow_5days.csv /data/onesis/kt4/job_results/Indexresult 0,1 0,2,3,5,6\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/05 09:51:36 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	94aa45cb-0093-34a5-975c-d1f041f8bcc0	地理流的I指数-175117	地点多边形文件: /onesis/kt4/test_data/statis/grid_6ring_500.csv; OD流文件: /onesis/kt4/test_data/statis/beijing_odflow_5days.csv; 索引: 0,1; 索引: 0,2,3,5,6; 地点I指数文件: /onesis/kt4/job_results/Indexresult; 	\N	6	\N
8800922652814d39868460859a1936e1		2024-10-08 01:43:00.818245	2024-10-08 01:41:03.813892	{"output":"/onesis/kt4/job_results/10_3_1.tif","res_factor":"4","DEM":"/onesis/kt4/test_data/terr/dem.tif","height":"10"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n******************************\n* Welcome to VisibilityIndex *\n* Powered by WhiteboxTools   *\n* www.whiteboxgeo.com        *\n******************************\nReading data...\nPerforming analysis. Please be patient...\nProgress (Loop 1 of 2): 0%\nProgress (Loop 1 of 2): 1%\nProgress (Loop 1 of 2): 2%\nProgress (Loop 1 of 2): 3%\nProgress (Loop 1 of 2): 4%\nProgress (Loop 1 of 2): 5%\nProgress (Loop 1 of 2): 6%\nProgress (Loop 1 of 2): 7%\nProgress (Loop 1 of 2): 8%\nProgress (Loop 1 of 2): 9%\nProgress (Loop 1 of 2): 10%\nProgress (Loop 1 of 2): 11%\nProgress (Loop 1 of 2): 12%\nProgress (Loop 1 of 2): 13%\nProgress (Loop 1 of 2): 14%\nProgress (Loop 1 of 2): 15%\nProgress (Loop 1 of 2): 16%\nProgress (Loop 1 of 2): 17%\nProgress (Loop 1 of 2): 18%\nProgress (Loop 1 of 2): 19%\nProgress (Loop 1 of 2): 20%\nProgress (Loop 1 of 2): 21%\nProgress (Loop 1 of 2): 22%\nProgress (Loop 1 of 2): 23%\nProgress (Loop 1 of 2): 24%\nProgress (Loop 1 of 2): 25%\nProgress (Loop 1 of 2): 26%\nProgress (Loop 1 of 2): 27%\nProgress (Loop 1 of 2): 28%\nProgress (Loop 1 of 2): 29%\nProgress (Loop 1 of 2): 30%\nProgress (Loop 1 of 2): 31%\nProgress (Loop 1 of 2): 32%\nProgress (Loop 1 of 2): 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written\nElapsed Time (excluding I/O): 41min 58.642s\nfailed to create fsnotify watcher: too many open files	ddb7b883-430a-33bb-8fc3-80d8a11dbcae	可视性指数-014103	DEM: /onesis/kt4/test_data/terr/dem.tif; 高度: 10; 分辨率系数: 4; 输出栅格: /onesis/kt4/job_results/10_3_1.tif; 	\N	8	\N
092ee0bac3e0456ba2428864da00a94d		2024-10-08 11:22:19.252746	2024-10-08 11:22:15.1869	{"output":"/onesis/kt4/job_results/10-3-1.tif","stations":"/onesis/kt4/test_data/terr/station.shp","dem":"/onesis/kt4/test_data/terr/dem.tif","height":"10"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Viewshed      *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nLocating view stations: 0%\nStation 1 of 1\nCalculating view angle (Station 1 of 1): 1%\nCalculating view angle (Station 1 of 1): 2%\nCalculating view angle (Station 1 of 1): 3%\nCalculating view angle (Station 1 of 1): 4%\nCalculating view angle (Station 1 of 1): 5%\nCalculating view angle (Station 1 of 1): 6%\nCalculating view angle (Station 1 of 1): 7%\nCalculating view angle (Station 1 of 1): 8%\nCalculating view angle (Station 1 of 1): 9%\nCalculating view angle (Station 1 of 1): 10%\nCalculating view angle (Station 1 of 1): 11%\nCalculating view angle (Station 1 of 1): 12%\nCalculating view angle (Station 1 of 1): 13%\nCalculating view angle (Station 1 of 1): 14%\nCalculating view angle (Station 1 of 1): 15%\nCalculating view angle (Station 1 of 1): 16%\nCalculating view angle (Station 1 of 1): 17%\nCalculating view angle (Station 1 of 1): 18%\nCalculating view angle (Station 1 of 1): 19%\nCalculating view angle (Station 1 of 1): 20%\nCalculating view angle (Station 1 of 1): 21%\nCalculating view angle (Station 1 of 1): 22%\nCalculating view angle (Station 1 of 1): 23%\nCalculating view angle (Station 1 of 1): 24%\nCalculating view angle (Station 1 of 1): 25%\nCalculating view angle (Station 1 of 1): 26%\nCalculating view angle (Station 1 of 1): 27%\nCalculating view angle (Station 1 of 1): 28%\nCalculating view angle (Station 1 of 1): 29%\nCalculating view angle (Station 1 of 1): 30%\nCalculating view angle (Station 1 of 1): 31%\nCalculating view angle 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(Station 1 of 1): 97%\nCalculating view angle (Station 1 of 1): 98%\nCalculating view angle (Station 1 of 1): 99%\nCalculating view angle (Station 1 of 1): 100%\nCreating output: (Station 1 of 1): 0%\nCreating output: (Station 1 of 1): 1%\nCreating output: (Station 1 of 1): 2%\nCreating output: (Station 1 of 1): 3%\nCreating output: (Station 1 of 1): 4%\nCreating output: (Station 1 of 1): 5%\nCreating output: (Station 1 of 1): 6%\nCreating output: (Station 1 of 1): 7%\nCreating output: (Station 1 of 1): 8%\nCreating output: (Station 1 of 1): 9%\nCreating output: (Station 1 of 1): 10%\nCreating output: (Station 1 of 1): 11%\nCreating output: (Station 1 of 1): 12%\nCreating output: (Station 1 of 1): 13%\nCreating output: (Station 1 of 1): 14%\nCreating output: (Station 1 of 1): 15%\nCreating output: (Station 1 of 1): 16%\nCreating output: (Station 1 of 1): 17%\nCreating output: (Station 1 of 1): 18%\nCreating output: (Station 1 of 1): 19%\nCreating output: (Station 1 of 1): 20%\nCreating output: (Station 1 of 1): 21%\nCreating output: (Station 1 of 1): 22%\nCreating output: (Station 1 of 1): 23%\nCreating output: (Station 1 of 1): 24%\nCreating output: (Station 1 of 1): 25%\nCreating output: (Station 1 of 1): 26%\nCreating output: (Station 1 of 1): 27%\nCreating output: (Station 1 of 1): 28%\nCreating output: (Station 1 of 1): 29%\nCreating output: (Station 1 of 1): 30%\nCreating output: (Station 1 of 1): 31%\nCreating output: (Station 1 of 1): 32%\nCreating output: (Station 1 of 1): 33%\nCreating output: (Station 1 of 1): 34%\nCreating output: (Station 1 of 1): 35%\nCreating output: (Station 1 of 1): 36%\nCreating output: (Station 1 of 1): 37%\nCreating output: (Station 1 of 1): 38%\nCreating output: (Station 1 of 1): 39%\nCreating output: (Station 1 of 1): 40%\nCreating output: (Station 1 of 1): 41%\nCreating output: (Station 1 of 1): 42%\nCreating output: (Station 1 of 1): 43%\nCreating output: (Station 1 of 1): 44%\nCreating output: (Station 1 of 1): 45%\nCreating output: (Station 1 of 1): 46%\nCreating output: (Station 1 of 1): 47%\nCreating output: (Station 1 of 1): 48%\nCreating output: (Station 1 of 1): 49%\nCreating output: (Station 1 of 1): 50%\nCreating output: (Station 1 of 1): 51%\nCreating output: (Station 1 of 1): 52%\nCreating output: (Station 1 of 1): 53%\nCreating output: (Station 1 of 1): 54%\nCreating output: (Station 1 of 1): 55%\nCreating output: (Station 1 of 1): 56%\nCreating output: (Station 1 of 1): 57%\nCreating output: (Station 1 of 1): 58%\nCreating output: (Station 1 of 1): 59%\nCreating output: (Station 1 of 1): 60%\nCreating output: (Station 1 of 1): 61%\nCreating output: (Station 1 of 1): 62%\nCreating output: (Station 1 of 1): 63%\nCreating output: (Station 1 of 1): 64%\nCreating output: (Station 1 of 1): 65%\nCreating output: (Station 1 of 1): 66%\nCreating output: (Station 1 of 1): 67%\nCreating output: (Station 1 of 1): 68%\nCreating output: (Station 1 of 1): 69%\nCreating output: (Station 1 of 1): 70%\nCreating output: (Station 1 of 1): 71%\nCreating output: (Station 1 of 1): 72%\nCreating output: (Station 1 of 1): 73%\nCreating output: (Station 1 of 1): 74%\nCreating output: (Station 1 of 1): 75%\nCreating output: (Station 1 of 1): 76%\nCreating output: (Station 1 of 1): 77%\nCreating output: (Station 1 of 1): 78%\nCreating output: (Station 1 of 1): 79%\nCreating output: (Station 1 of 1): 80%\nCreating output: (Station 1 of 1): 81%\nCreating output: (Station 1 of 1): 82%\nCreating output: (Station 1 of 1): 83%\nCreating output: (Station 1 of 1): 84%\nCreating output: (Station 1 of 1): 85%\nCreating output: (Station 1 of 1): 86%\nCreating output: (Station 1 of 1): 87%\nCreating output: (Station 1 of 1): 88%\nCreating output: (Station 1 of 1): 89%\nCreating output: (Station 1 of 1): 90%\nCreating output: (Station 1 of 1): 91%\nCreating output: (Station 1 of 1): 92%\nCreating output: (Station 1 of 1): 93%\nCreating output: (Station 1 of 1): 94%\nCreating output: (Station 1 of 1): 95%\nCreating output: (Station 1 of 1): 96%\nCreating output: (Station 1 of 1): 97%\nCreating output: (Station 1 of 1): 98%\nCreating output: (Station 1 of 1): 99%\nCreating output: (Station 1 of 1): 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.67s\nfailed to create fsnotify watcher: too many open files	5114cee6-501a-3d5d-b5db-8dd980570073	视域范围分析算法-112214	DEM: /onesis/kt4/test_data/terr/dem.tif; 站点矢量: /onesis/kt4/test_data/terr/station.shp; 高度: 10; 输出栅格: /onesis/kt4/job_results/10-3-1.tif; 	\N	6	\N
811445f74f5f444baf0ab02a5e0c3014		2024-10-09 15:49:48.510763	2024-10-09 15:49:44.316977	{"fix_flats":"true","i":"/onesis/kt4/dsm_case/dem_meixi.tif","o":"/onesis/kt4/job_results/demfil_fd.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n******************************\n* Welcome to FillDepressions *\n* Powered by WhiteboxTools   *\n* www.whiteboxgeo.com        *\n******************************\nReading data...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.00001\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 11%\nFixing flats: 12%\nFixing flats: 13%\nFixing flats: 14%\nFixing flats: 15%\nFixing flats: 16%\nFixing flats: 17%\nFixing flats: 18%\nFixing flats: 19%\nFixing flats: 20%\nFixing flats: 21%\nFixing flats: 22%\nFixing flats: 23%\nFixing flats: 24%\nFixing flats: 25%\nFixing flats: 26%\nFixing flats: 27%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 31%\nFixing flats: 32%\nFixing flats: 33%\nFixing flats: 34%\nFixing flats: 35%\nFixing flats: 36%\nFixing flats: 37%\nFixing flats: 38%\nFixing flats: 39%\nFixing flats: 40%\nFixing flats: 41%\nFixing flats: 42%\nFixing flats: 43%\nFixing flats: 44%\nFixing flats: 45%\nFixing flats: 46%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 54%\nFixing flats: 55%\nFixing flats: 56%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 61%\nFixing flats: 62%\nFixing flats: 63%\nFixing flats: 64%\nFixing flats: 65%\nFixing flats: 66%\nFixing flats: 67%\nFixing flats: 68%\nFixing flats: 69%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 96%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.84s\nfailed to create fsnotify watcher: too many open files	9873c5b1-00a8-35e6-ba4a-3e69b2a6b608	填洼（填平）-154944	修整平面: true; 输入数据: /onesis/kt4/dsm_case/dem_meixi.tif; 输出数据: /onesis/kt4/job_results/demfil_fd.tif; 	\N	6	\N
ff7b505ef73b4a649e9cd589dbfb283a		2024-12-04 12:41:52.873031	2024-12-04 12:41:45.030567	{"sigma":"1.5","train_data_folder":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/data_folder/","geo_coord":"x,y","cluster_result":"/onesis/kt4/job_results/air_mode2-01.csv","variable":"u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2","X":"2","Y":"2","iVariables":"/onesis/kt4/job_results/air_mode2_02.json","air_quality":"PM2.5","k":"100","N_epoch":"100","best_arg":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode2_clusters/data/best_arg.json"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.variable: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2\nFinal variables: ['u10', 'v10', 't2m', 'sp', 'tp', 'AQI', 'PM10', 'NO2', 'CO', 'O3', 'SO2']\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\nchina_sites_2017010311.csv\nchina_sites_2017010416.csv\nchina_sites_2017010415.csv\nchina_sites_2017010418.csv\nchina_sites_2017010316.csv\nchina_sites_2017010413.csv\nchina_sites_2017010420.csv\nchina_sites_2017010320.csv\nchina_sites_2017010315.csv\nchina_sites_2017010310.csv\nchina_sites_2017010319.csv\nchina_sites_2017010312.csv\nchina_sites_2017010313.csv\nchina_sites_2017010417.csv\nchina_sites_2017010414.csv\nchina_sites_2017010411.csv\nchina_sites_2017010314.csv\nchina_sites_2017010419.csv\nchina_sites_2017010412.csv\nchina_sites_2017010317.csv\nchina_sites_2017010321.csv\nchina_sites_2017010318.csv\nchina_sites_2017010410.csv\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n{'AQI': 0.9939953734386318, 'PM10': 0.9702703712733087, 'NO2': 0.6916964527542312, 'CO': 0.6785650379279617}\n          u10       v10         t2m  ...         x        y  region\n0   -1.504657 -0.878221  273.013794  ...  117.4570  38.8394       1\n1    0.786217 -0.177140  271.731135  ...  114.3541  37.9097       2\n2   -0.908226 -0.827674  269.900488  ...  118.1997  39.6295       1\n3   -1.807954 -2.599573  274.702684  ...  119.5259  39.8283       1\n4   -0.631055 -2.190917  271.465984  ...  119.7624  40.0181       0\n..        ...       ...         ...  ...       ...      ...     ...\n231  0.601761 -0.591802  260.612814  ...   86.0697  44.3075       0\n232  0.702411 -1.409642  257.096259  ...   87.5475  44.1756       3\n233 -0.982240  0.603175  283.314504  ...  101.7227  26.5670       2\n234 -1.112682 -1.291874  289.298598  ...  118.0936  24.5058       2\n235 -1.192497  0.397621  272.886470  ...  113.1569  36.1912       1\n\n[236 rows x 15 columns]\n	38551381-f4bd-3728-850c-c2d4460669b8	空气质量预测聚类分区-124146	自变量: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2; 待预测的空气质量指标: PM2.5; 地理坐标: x,y; 聚类行数: 2; 聚类列数: 2; GeoSOM算法迭代次数: 100; 地理邻域大小参数: 100; 初始邻域大小阈值: 1.5; 训练数据文件夹: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/data_folder/; 最佳参数结果: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode2_clusters/data/best_arg.json; 区域聚类结果: /onesis/kt4/job_results/air_mode2-01.csv; 独立变量: /onesis/kt4/job_results/air_mode2_02.json; 	\N	6	\N
4f25af5aa6044c17aeb2203df5790c02		2024-12-04 12:38:15.757495	2024-12-04 12:38:09.855829	{"geo_coord":"x,y","cluster_result":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/cluster_result.csv","output_pred":"/onesis/kt4/job_results/air_mode3.csv","iVariables":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/iVariables.json","air_quality":"PM2.5","pred_data_path":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\n分区: 2 参数: [-9.17260618e+01  1.15499769e+00 -7.40924971e-02  2.99461750e-01\n -1.52553604e+00] r2: 0.04847284127008744\n分区: 1 参数: [-1.14783449e+01  1.03024321e+00 -1.77088043e-01  8.22878304e-03\n -7.51832896e-01] r2: 0.1362039547508621\n分区: 0 参数: [-16.20075884   0.95799733  -0.11488578   0.04130823   0.50384864] r2: 0.12968084093122045\n分区: 3 参数: [-6.72655057  0.88644638 -0.06857409 -0.07571871  1.39279085] r2: 0.13450412913640308\n[-16.20075884   0.95799733  -0.11488578   0.04130823   0.50384864]\n(236, 4)\n(5,)\n(236,)\n[396.17703522 440.11946815 465.78721446 149.03330726 239.2668603\n 411.39272227 557.69985264 198.12144644 126.69475322 320.41926066\n 171.61539574 167.18630816 113.70423662 103.22910083 156.62455397\n 152.23310223 106.19298763 275.74487015 209.77656399 271.03594089\n 158.31059713 197.40603472 222.63380295 256.44311477 260.1729824\n 331.11126276 254.43295789 431.16323707 418.62896274 309.31697001\n 236.08356268  78.78841984  60.03903233  64.8285143  148.37529542\n 141.52021318 312.78381693 227.76116587 105.06769494 146.28788292\n 833.97199623 424.09415782 463.79435731 202.71642708 234.34897757\n 280.69036558 350.75215705  97.03563916 102.97617794  93.95096881\n  91.3990686  100.43586958 351.05256207 118.08563428 118.61950159\n 125.70559466 146.71765689 157.13819144  77.93290573 276.18537576\n 403.46214467 390.36298146 544.25834349  96.99605583  45.26018141\n 145.5668589  843.39800678 848.70295619 416.25326901 317.30945353\n 267.59200806 225.23289553 191.26128042 149.50221839 102.74888203\n 351.86295938 572.73696958 508.38880794 485.6235902  604.13122463\n 694.14006136 154.4216226  401.48954481 438.14847849 420.46670392\n 106.44329187  74.48481909  68.20073605  91.52043078 141.01019813\n 143.58265439  95.1365097  153.74951554 239.79164642 109.34951\n 107.48138924 103.50260982 221.95156767 245.26226003 201.71236032\n 529.84144821 396.5102584  206.08247047 272.45981367 266.80406409\n 491.74598665 448.9110954  349.55809293 392.57367448 388.18399575\n 397.23489106 457.20939221 770.78712227 276.74119245  67.45542648\n 380.36229495 476.59524164  43.48904215 640.88797899 280.06835662\n 845.44415635 749.43622287 402.5170224  700.70622244 839.7164304\n 310.04455601 201.44935419 188.48758681 445.29015938  96.1750258\n 178.36481854 166.65283042 174.84143746 246.92569813 162.00815874\n 353.88387704 332.95704806 291.27950985 185.18374818 581.4469131\n 254.11136302  94.48195865 259.91685583 180.71111809 196.92510013\n  72.38242603 364.29761555 242.55990169 149.79238673 498.03252546\n  55.89859889  69.40310519 308.3773301  267.07341838 274.40345295\n 339.40426836 376.78302989 357.02368093 325.82452504 276.62242526\n 332.61486537 125.99811546 144.61993618 118.52033303 135.19517623\n 120.835986   120.33575073 300.16128656 459.06235963 396.68253605\n 541.48335696 369.40599752 395.55008862 330.79240091 322.48031196\n 450.03666446 375.22849345 414.42847136 220.84641959 127.21178498\n 323.08086731 459.36437395 181.22939056 459.48752461 236.26781916\n 450.1962574  320.79503976 506.16126829 336.63394473 373.47717222\n 670.49744871 265.28517739 135.90710619 274.94896314 250.71209262\n 328.73968982 163.74610484 296.72835586 255.25745771 297.99748595\n 407.45734092 651.26657424 473.82825884 351.1842736  125.40313417\n  80.05780964  60.8731675  106.6258979  298.50186774  80.61790271\n  58.83653333  87.8784506   64.29725017  71.26237703  76.19169259\n 274.43725859 145.23515721 161.33597113 193.74639693 227.59942663\n 507.98745965 354.32328377 139.54759323 340.54707414 306.34871899\n 108.64584096 232.33494846 135.05560146 150.90761716 195.18844667\n 222.18795846 547.43333005 449.88763781  54.61502136 147.90030662\n 382.6595909 ]\n	e064bcfe-b606-39a2-b35f-09f1f9944f89	空气质量预测多元线性回归-123811	待预测的空气质量指标: PM2.5; 地理坐标: x,y; 独立变量: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/iVariables.json; 区域聚类结果: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/cluster_result.csv; 预测数据路径: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv; 预测结果输出: /onesis/kt4/job_results/air_mode3.csv; 	\N	6	\N
244847847c18475b9321bd2f2703c507		2024-12-06 19:27:15.051576	2024-12-06 19:26:21.189233	{"geo_coord":"x,y","cluster_result":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv","output_pred":"/onesis/kt4/job_results/air-03-1206.csv","iVariables":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/cluster_result.csv","air_quality":"PM2.5","pred_data_path":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv"}	t	\N	e064bcfe-b606-39a2-b35f-09f1f9944f89	空气质量多元线性回归预测-192620	待预测的空气质量指标: PM2.5; 气象站点地理坐标: x,y; 各分区中的最优自变量和权重结果: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/cluster_result.csv; 聚类分区结果文件: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv; 待预测的空气质量数据集: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv; 空气质量预测结果输出文件: /onesis/kt4/job_results/air-03-1206.csv; 	\N	7	\N
6e4e3d62ce29460bb38ebaeaca9ef792		2025-01-02 17:00:39.099253	2025-01-02 17:00:35.219908	{"param":"/onesis/kt4/data/basic/demo.geojson"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n第一条线的起点: [ 610941.4260834455, 3352791.9156493098 ] 终点: [ 623269.2731271479, 3352791.9156493098 ]\n第二条线的起点: [ 610941.4260834455, 3352791.9156493098 ] 终点: [ 610909.1542325467, 3361247.1405850463 ]\n两条线之间的夹角为: 90.22°\nfailed to create fsnotify watcher: too many open files	d974f7e7-75eb-3ca4-bdf4-2f143543de12	两条线的夹角-170034	param: /onesis/kt4/data/basic/demo.geojson; 	\N	6	\N
4a85446064cd4b0b9112233386f55a17		2025-01-08 15:26:14.611605	2024-12-08 21:11:36.058418	{"op":"/onesis/kt4/data/rf_workflow/process_data/","c":"gini","mwfl":"0.0","msl":"1","mss":"2","v":"0","ne":"100","md":"3","rfm":"/onesis/kt4/data/rf_workflow/process_data/op1865746046303469568.tif","tl":"/onesis/kt4/data/rf_workflow/origin_data/expansion/expansion.tif","tfm":"/onesis/kt4/data/rf_workflow/origin_data/temp/temp.tif","sfm":"/onesis/kt4/data/rf_workflow/process_data/sd81865746046458658816.tif","ca":"0.0","wfm":"/onesis/kt4/data/rf_workflow/process_data/op1865746046383161344.tif"}	f	\N	1ff85b32-db18-370f-8fa9-84cb0ded6ce1	土地利用类型发展潜力（随机森林算法）	坡度样本: /onesis/kt4/data/rf_workflow/process_data/sd81865746046458658816.tif; 道路样本: /onesis/kt4/data/rf_workflow/process_data/op1865746046303469568.tif; 水体样本: /onesis/kt4/data/rf_workflow/process_data/op1865746046383161344.tif; 温度样本: /onesis/kt4/data/rf_workflow/origin_data/temp/temp.tif; 训练标签: /onesis/kt4/data/rf_workflow/origin_data/expansion/expansion.tif; 树木数量: 100; 不纯度方法: gini; 最大深度: 3; 拆分内节点最少样本数: 2; 叶节点最小样本数: 1; 最小加权分数: 0.0; 详细程度: 0; 复杂度参数: 0.0; 输出路径: /onesis/kt4/data/rf_workflow/process_data/; 	\N	9	dff839e2-1cf5-4a90-8aa1-ebde54892168
438e461406ef4d06ba9b8d8de130057e		2024-12-08 21:58:53.360722	2024-12-08 21:58:49.48508	{"p":"/onesis/kt4/job_results/1d8_flow_meixi_1208.tif","fel":"/onesis/kt4/dsm_case/dem_meixi.tif"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 21443 flats to resolve.\nDraining flats towards lower adjacent terrain\n........\nDraining flats away from higher adjacent terrain\n.....\nSetting directions\nIteration complete. Number of flats remaining: 3\nDraining flats towards lower adjacent terrain\n.\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.039396\nData read time: 0.072067\nCompute Slope time: 0.225781\nWrite Slope time: 0.068407\nResolve Flat time: 0.161982\nWrite Flat time: 0.044443\nTotal time: 0.612076\n	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)-215847	数字高程模型: /onesis/kt4/dsm_case/dem_meixi.tif; D8单流向栅格: /onesis/kt4/job_results/1d8_flow_meixi_1208.tif; 	\N	6	\N
5090a24f44d9464d82f13bdbf6ede61b		2024-12-09 17:25:24.372541	2024-12-09 17:25:16.7199	{"d":"/onesis/kt4/test_data/regr/_whhp/whhp.shp","t":"/onesis/kt4/test_data/regr/_whhp/res_eg/neardist.csv","i":"OBJECTID","o":"/onesis/kt4/job_results/neardist12091725.csv"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.3, GDAL 3.5.3, PROJ 9.0.0; sf_use_s2() is TRUE\n\n\n	0295f9ea-4ca6-3301-ac31-bc768bf9254c	最近距离计算-172510	输入矢量数据: /onesis/kt4/test_data/regr/_whhp/whhp.shp; 目标矢量数据: /onesis/kt4/test_data/regr/_whhp/res_eg/neardist.csv; 保留的id变量: OBJECTID; 结果数据: /onesis/kt4/job_results/neardist12091725.csv; 	\N	6	\N
42c3b023d5f04f03a23dae57f8fa4c52		2024-12-09 17:26:47.889884	2024-12-09 17:26:40.569675	{"d":"/onesis/kt4/test_data/regr/_whhp/whhp.shp","t":"/onesis/kt4/test_data/regr/_whhp/res_eg/neardist.csv","i":"OBJECTID","j":"id","o":"/onesis/kt4/job_results/joined_12091726.shp"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.3, GDAL 3.5.3, PROJ 9.0.0; sf_use_s2() is TRUE\n\nAttaching package: ‘dplyr’\n\nThe following objects are masked from ‘package:stats’:\n\n    filter, lag\n\nThe following objects are masked from ‘package:base’:\n\n    intersect, setdiff, setequal, union\n\nWarning message:\nIn abbreviate_shapefile_names(obj) :\n  Field names abbreviated for ESRI Shapefile driver\n	96a25d86-5c91-3a5a-b9e8-9b88894afe55	数据连接-172634	输入矢量数据: /onesis/kt4/test_data/regr/_whhp/whhp.shp; 目标数据: /onesis/kt4/test_data/regr/_whhp/res_eg/neardist.csv; 连接字段: OBJECTID; 对应字段: id; 结果数据: /onesis/kt4/job_results/joined_12091726.shp; 	\N	6	\N
57bd1d552e474d35a45666b8baffe783		2024-12-26 09:33:07.527159	2024-12-26 09:33:01.543756	{"z":"/onesis/kt4/test_data/terr/dem_meixi.tif","fel":"/onesis/kt4/job_results/demfel.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.089714\nData read time: 0.987110\nCompute time: 0.157015\nWrite time: 0.281584\nTotal time: 1.515423\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）-093258	数字高程模型: /onesis/kt4/test_data/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/demfel.tif; 	\N	6	\N
19962caf0c9f4d49a2959623426c475e		2025-01-08 15:26:18.271022	2024-12-26 10:43:22.495601	{"c":"/onesis/kt4/test_data/basic/zw_kt5/config.csv","t":"474069,302376,98444,394334","i":"/onesis/kt4/test_data/basic/data/o1872110924610011136.shp","z":"1,2,3,9","o":"/onesis/kt4/test_data/basic/data/zw_result_small.shp"}	f	\N	3f83271b-4116-359e-9bd1-a4744506f0cd	地块面积赋值	输入矢量文件: /onesis/kt4/test_data/basic/data/o1872110924610011136.shp; 配置文件: /onesis/kt4/test_data/basic/zw_kt5/config.csv; 要进行的操作索引: 1,2,3,9; 操作对应的面积阈值: 474069,302376,98444,394334; 输出矢量文件: /onesis/kt4/test_data/basic/data/zw_result_small.shp; 	\N	9	8f63b228-d90c-44e1-9f88-78693e51bc00
5d27f5942db74bf3ad4877ba6f4e20fb		2025-01-08 15:26:18.274808	2024-12-26 10:43:23.236395	{"r":"liangping","c":"/onesis/kt4/test_data/basic/zw_kt5/zxd_config.csv","d":"/onesis/kt4/test_data/basic/zw_kt5/crop_data_n.csv","i":"/onesis/kt4/test_data/basic/data/o1872110924425461760.shp","o":"/onesis/kt4/test_data/basic/data/o1872110924610011136.shp"}	f	\N	b3e67d4d-3b66-3f96-9875-cd036de39e95	添加物候置信度	输入矢量文件: /onesis/kt4/test_data/basic/data/o1872110924425461760.shp; 置信度配置文件: /onesis/kt4/test_data/basic/zw_kt5/zxd_config.csv; 作物占比文件: /onesis/kt4/test_data/basic/zw_kt5/crop_data_n.csv; 行政区域名称: liangping; 输出矢量文件: /onesis/kt4/test_data/basic/data/o1872110924610011136.shp; 	\N	9	8f63b228-d90c-44e1-9f88-78693e51bc00
3282c75c10bf4791a6d799eeebdc91bc		2025-01-08 16:39:18.248155	2025-01-08 16:39:08.877914	{"fel":"/onesis/kt4/job_results/fel1876911503425273856.tif","plan":"/onesis/kt4/job_results/plan1876911503630794752.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/job_results/fel1876911503425273856.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.177645\nCompute time: 0.109746\nWrite time: 0.133355\nTotal time: 0.420746\n	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/job_results/fel1876911503425273856.tif; 平面曲率栅格: /onesis/kt4/job_results/plan1876911503630794752.tif; 	\N	6	d4247472-51ed-4756-bae9-1d1a58e2bdcf
a72c97ea6ca64b29a6dc0db820a8d641		2025-01-08 16:39:18.511819	2025-01-08 16:39:08.839402	{"sd8":"/onesis/kt4/job_results/sd81876911503945367552.tif","fel":"/onesis/kt4/job_results/fel1876911503425273856.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876911503425273856.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 786 flats to resolve.\nDraining flats towards lower adjacent terrain\n............................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 31\nDraining flats towards lower adjacent terrain\n...\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.075689\nData read time: 0.114268\nCompute Slope time: 0.212975\nWrite Slope time: 0.110146\nResolve Flat time: 0.114559\nWrite Flat time: 0.028770\nTotal time: 0.656406\n	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/job_results/fel1876911503425273856.tif; 坡度栅格: /onesis/kt4/job_results/sd81876911503945367552.tif; 	\N	6	d4247472-51ed-4756-bae9-1d1a58e2bdcf
b97e1102381247b389f24f2bff5b1f02		2025-01-08 15:49:46.055672	2025-01-08 15:49:29.989516	{"p":"/onesis/kt4/job_results/p1876899010690809856.tif","ad8":"/onesis/kt4/job_results/ad81876899010741141504.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/job_results/p1876899010690809856.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.117516\nCompute time: 0.294165\nWrite time: 0.073474\nTotal time: 0.485155\n	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/p1876899010690809856.tif; d8汇流累积量栅格: /onesis/kt4/job_results/ad81876899010741141504.tif; 	\N	6	12103755-e251-4d05-b225-bf15178020e5
84a09f5684bc46339a33aa726f83ff92		2025-01-08 15:49:34.628732	2025-01-08 15:49:30.07402	{"z":"/onesis/kt4/dsm_case/dem_meixi.tif","fel":"/onesis/kt4/job_results/fel1876899010489483264.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.042852\nData read time: 0.083061\nCompute time: 0.300780\nWrite time: 0.090964\nTotal time: 0.517657\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/fel1876899010489483264.tif; 	\N	6	12103755-e251-4d05-b225-bf15178020e5
15c361f5590b4a85bdda8b986de4df86		2025-01-08 15:49:50.195692	2025-01-08 15:49:29.962896	{"sca":"/onesis/kt4/job_results/ad81876899010741141504.tif","slp":"/onesis/kt4/job_results/sd81876899010539814912.tif","twi":"/onesis/kt4/job_results/twi_wcl_01.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/job_results/sd81876899010539814912.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/job_results/ad81876899010741141504.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037075\n	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/job_results/sd81876899010539814912.tif; 汇流累积量: /onesis/kt4/job_results/ad81876899010741141504.tif; 地形湿度指数: /onesis/kt4/job_results/twi_wcl_01.tif; 	\N	6	12103755-e251-4d05-b225-bf15178020e5
2a518448e5d8451299807c348e605b65		2025-01-08 16:39:13.588427	2025-01-08 16:39:08.943283	{"z":"/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif","fel":"/onesis/kt4/job_results/fel1876911503425273856.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.032426\nData read time: 0.056274\nCompute time: 0.115674\nWrite time: 0.068332\nTotal time: 0.272706\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif; 数字高程模型: /onesis/kt4/job_results/fel1876911503425273856.tif; 	\N	6	d4247472-51ed-4756-bae9-1d1a58e2bdcf
29aa28440d1a49ff8a67de69179c2ba7		2025-01-08 16:40:08.113168	2025-01-08 16:39:08.913653	{"log":"false","zfactor":"","i":"/onesis/kt4/job_results/fel1876911503425273856.tif","o":"/onesis/kt4/job_results/o1876911503530131456.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/job_results/fel1876911503425273856.tif; 对数转换输出: false; Z 转换因子: ; 输出栅格文件: /onesis/kt4/job_results/o1876911503530131456.tif; 	\N	7	d4247472-51ed-4756-bae9-1d1a58e2bdcf
b112eac31de14ef68770a3f15a10f3d6		2025-01-08 15:49:41.755627	2025-01-08 15:49:30.039748	{"p":"/onesis/kt4/job_results/p1876899010690809856.tif","fel":"/onesis/kt4/job_results/fel1876899010489483264.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876899010489483264.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.108356\nData read time: 0.199436\nCompute Slope time: 0.445408\nWrite Slope time: 0.097307\nResolve Flat time: 2.491611\nWrite Flat time: 0.051125\nTotal time: 3.393243\n	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/fel1876899010489483264.tif; D8单流向栅格: /onesis/kt4/job_results/p1876899010690809856.tif; 	\N	6	12103755-e251-4d05-b225-bf15178020e5
863f34521c8946c0adb57cf5af181013		2025-01-08 16:50:56.248624	2025-01-08 16:48:16.788428	{"uncmap":"/onesis/kt4/job_results/ipsm_heshan_unc_01.tif","inlayer1":"/onesis/kt4/job_results/sd81876913803027939328.tif","inlayer0":"/onesis/kt4/job_results/fel1876913802742726656.tif","inlayer7":"/onesis/kt4/job_results/twi1876913803304763392.tif","inlayer5":"/onesis/kt4/job_results/o1876913802839195648.tif","simithred":"0.3","predmap":"/onesis/kt4/job_results/ipsm_heshan_som_01.tif","inlayer4":"/onesis/kt4/job_results/plan1876913802931470336.tif","sample":"/onesis/kt4/dsm_case/heshan/hs_samples_900913.csv","target":"SOM"}	f	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	土壤样点: /onesis/kt4/dsm_case/heshan/hs_samples_900913.csv; 待推测土壤属性: SOM; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/job_results/ipsm_heshan_som_01.tif; 空间推测不确定性: /onesis/kt4/job_results/ipsm_heshan_unc_01.tif; DEM栅格: /onesis/kt4/job_results/fel1876913802742726656.tif; 剖面曲率: /onesis/kt4/job_results/o1876913802839195648.tif; 平面曲率: /onesis/kt4/job_results/plan1876913802931470336.tif; 坡度栅格: /onesis/kt4/job_results/sd81876913803027939328.tif; 地形湿度指数: /onesis/kt4/job_results/twi1876913803304763392.tif; 	\N	9	2597e723-9f7e-4601-ba65-dfe3593b7881
5606bc9921714df1a5a447005e1ad92b		2025-01-08 15:49:41.732838	2025-01-08 15:49:30.011848	{"sd8":"/onesis/kt4/job_results/sd81876899010539814912.tif","fel":"/onesis/kt4/job_results/fel1876899010489483264.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876899010489483264.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.122151\nData read time: 0.198291\nCompute Slope time: 0.440816\nWrite Slope time: 0.109516\nResolve Flat time: 2.469650\nWrite Flat time: 0.049442\nTotal time: 3.389866\n	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/job_results/fel1876899010489483264.tif; 坡度栅格: /onesis/kt4/job_results/sd81876899010539814912.tif; 	\N	6	12103755-e251-4d05-b225-bf15178020e5
2c216bcc020443b2b7a906f86e7b6d7f		\N	2025-01-08 16:39:08.667567	{"uncmap":"/onesis/kt4/job_results/ipsm_heshan_unc.tif","inlayer1":"/onesis/kt4/job_results/sd81876911503945367552.tif","inlayer0":"/onesis/kt4/job_results/fel1876911503425273856.tif","inlayer7":"/onesis/kt4/job_results/twi1876911504046030848.tif","inlayer5":"/onesis/kt4/job_results/o1876911503530131456.tif","simithred":"0.3","predmap":"/onesis/kt4/job_results/ipsm_heshan_01.tif","inlayer4":"/onesis/kt4/job_results/plan1876911503630794752.tif","sample":"/onesis/kt4/dsm_case/heshan/hs_samples_900913.csv","target":"SOM"}	f	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	土壤样点: /onesis/kt4/dsm_case/heshan/hs_samples_900913.csv; 待推测土壤属性: SOM; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/job_results/ipsm_heshan_01.tif; 空间推测不确定性: /onesis/kt4/job_results/ipsm_heshan_unc.tif; DEM栅格: /onesis/kt4/job_results/fel1876911503425273856.tif; 剖面曲率: /onesis/kt4/job_results/o1876911503530131456.tif; 平面曲率: /onesis/kt4/job_results/plan1876911503630794752.tif; 地形湿度指数: /onesis/kt4/job_results/twi1876911504046030848.tif; 坡度栅格: /onesis/kt4/job_results/sd81876911503945367552.tif; 	\N	0	d4247472-51ed-4756-bae9-1d1a58e2bdcf
0c9fce7aa2594ac4b5fb92a2380990b0		2025-01-08 16:39:22.89559	2025-01-08 16:39:09.003455	{"p":"/onesis/kt4/job_results/p1876911503735652352.tif","ad8":"/onesis/kt4/job_results/ad81876911503785984000.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/job_results/p1876911503735652352.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.061784\nCompute time: 0.146697\nWrite time: 0.052404\nTotal time: 0.260885\n	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/p1876911503735652352.tif; d8汇流累积量栅格: /onesis/kt4/job_results/ad81876911503785984000.tif; 	\N	6	d4247472-51ed-4756-bae9-1d1a58e2bdcf
5f8f61c16fe4471e85c62f948a341f87		2025-01-08 16:39:27.219483	2025-01-08 16:39:08.811678	{"sca":"/onesis/kt4/job_results/ad81876911503785984000.tif","slp":"/onesis/kt4/job_results/sd81876911503945367552.tif","twi":"/onesis/kt4/job_results/twi1876911504046030848.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/job_results/sd81876911503945367552.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/job_results/ad81876911503785984000.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.020804\n	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/job_results/sd81876911503945367552.tif; 汇流累积量: /onesis/kt4/job_results/ad81876911503785984000.tif; 地形湿度指数: /onesis/kt4/job_results/twi1876911504046030848.tif; 	\N	6	d4247472-51ed-4756-bae9-1d1a58e2bdcf
d61787639128408abb06bdfb9a494f1c		2025-01-08 16:39:18.512325	2025-01-08 16:39:09.080066	{"p":"/onesis/kt4/job_results/p1876911503735652352.tif","fel":"/onesis/kt4/job_results/fel1876911503425273856.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876911503425273856.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 786 flats to resolve.\nDraining flats towards lower adjacent terrain\n............................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 31\nDraining flats towards lower adjacent terrain\n...\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.062401\nData read time: 0.255826\nCompute Slope time: 0.227163\nWrite Slope time: 0.064286\nResolve Flat time: 0.077577\nWrite Flat time: 0.025719\nTotal time: 0.712972\n	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/fel1876911503425273856.tif; D8单流向栅格: /onesis/kt4/job_results/p1876911503735652352.tif; 	\N	6	d4247472-51ed-4756-bae9-1d1a58e2bdcf
321cb388d3a840cdb84883a7cfc670c7		\N	2025-01-08 16:52:39.388536	{"uncmap":"/onesis/kt4/job_results/ipsm_heshan_unc_01.tif","inlayer1":"/onesis/kt4/job_results/sd81876914904670273536.tif","inlayer0":"/onesis/kt4/job_results/fel1876914904183734272.tif","inlayer7":"/onesis/kt4/job_results/twi1876914904762548224.tif","inlayer5":"/onesis/kt4/job_results/o1876914904477335552.tif","simithred":"0.3","predmap":"/onesis/kt4/job_results/ipsm_heshan_som_01.tif","inlayer4":"/onesis/kt4/job_results/plan1876914904573804544.tif","sample":"/onesis/kt4/dsm_case/heshan/hs_samples_900913.csv","target":"SOM"}	f	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	土壤样点: /onesis/kt4/dsm_case/heshan/hs_samples_900913.csv; 待推测土壤属性: SOM; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/job_results/ipsm_heshan_som_01.tif; 空间推测不确定性: /onesis/kt4/job_results/ipsm_heshan_unc_01.tif; 地形湿度指数: /onesis/kt4/job_results/twi1876914904762548224.tif; DEM栅格: /onesis/kt4/job_results/fel1876914904183734272.tif; 剖面曲率: /onesis/kt4/job_results/o1876914904477335552.tif; 平面曲率: /onesis/kt4/job_results/plan1876914904573804544.tif; 坡度栅格: /onesis/kt4/job_results/sd81876914904670273536.tif; 	\N	0	ccc360fe-b38a-4705-acde-3147bf7308c0
81528c900f9349a199d24561e93affa5		2025-01-08 16:52:53.291302	2025-01-08 16:52:39.557935	{"p":"/onesis/kt4/job_results/p1876914904229871616.tif","ad8":"/onesis/kt4/job_results/ad81876914904280203264.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/job_results/p1876914904229871616.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.063580\nCompute time: 0.146356\nWrite time: 0.053796\nTotal time: 0.263731\n	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/p1876914904229871616.tif; d8汇流累积量栅格: /onesis/kt4/job_results/ad81876914904280203264.tif; 	\N	6	ccc360fe-b38a-4705-acde-3147bf7308c0
166ecc16de084efb9a66f6b07e26d698		2025-01-08 16:48:21.499702	2025-01-08 16:48:16.924303	{"z":"/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif","fel":"/onesis/kt4/job_results/fel1876913802742726656.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.047465\nData read time: 0.058084\nCompute time: 0.116411\nWrite time: 0.071951\nTotal time: 0.293912\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif; 数字高程模型: /onesis/kt4/job_results/fel1876913802742726656.tif; 	\N	6	2597e723-9f7e-4601-ba65-dfe3593b7881
b6b30e6988c840cd942ea493be83e559		2025-01-08 16:52:43.96371	2025-01-08 16:52:39.525501	{"z":"/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif","fel":"/onesis/kt4/job_results/fel1876914904183734272.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.044804\nData read time: 0.056297\nCompute time: 0.115083\nWrite time: 0.068801\nTotal time: 0.284984\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif; 数字高程模型: /onesis/kt4/job_results/fel1876914904183734272.tif; 	\N	6	ccc360fe-b38a-4705-acde-3147bf7308c0
db3be446c3cc4489a4f85f5c4740f546		2025-01-08 16:48:30.879129	2025-01-08 16:48:16.965724	{"p":"/onesis/kt4/job_results/p1876913803212488704.tif","ad8":"/onesis/kt4/job_results/ad81876913803262820352.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/job_results/p1876913803212488704.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.069610\nCompute time: 0.143424\nWrite time: 0.053170\nTotal time: 0.266204\n	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/p1876913803212488704.tif; d8汇流累积量栅格: /onesis/kt4/job_results/ad81876913803262820352.tif; 	\N	6	2597e723-9f7e-4601-ba65-dfe3593b7881
1f74671c54c44b6880a909165e11a92f		2025-01-08 16:48:26.499076	2025-01-08 16:48:16.846399	{"sd8":"/onesis/kt4/job_results/sd81876913803027939328.tif","fel":"/onesis/kt4/job_results/fel1876913802742726656.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876913802742726656.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 786 flats to resolve.\nDraining flats towards lower adjacent terrain\n............................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 31\nDraining flats towards lower adjacent terrain\n...\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.065285\nData read time: 0.228254\nCompute Slope time: 0.250990\nWrite Slope time: 0.099539\nResolve Flat time: 0.110966\nWrite Flat time: 0.021215\nTotal time: 0.776249\n	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/job_results/fel1876913802742726656.tif; 坡度栅格: /onesis/kt4/job_results/sd81876913803027939328.tif; 	\N	6	2597e723-9f7e-4601-ba65-dfe3593b7881
e3b7e2e84f434fbc8efaff4e36fb1866		2025-01-08 16:48:34.951312	2025-01-08 16:48:16.819475	{"sca":"/onesis/kt4/job_results/ad81876913803262820352.tif","slp":"/onesis/kt4/job_results/sd81876913803027939328.tif","twi":"/onesis/kt4/job_results/twi1876913803304763392.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/job_results/sd81876913803027939328.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/job_results/ad81876913803262820352.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.034890\n	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/job_results/sd81876913803027939328.tif; 汇流累积量: /onesis/kt4/job_results/ad81876913803262820352.tif; 地形湿度指数: /onesis/kt4/job_results/twi1876913803304763392.tif; 	\N	6	2597e723-9f7e-4601-ba65-dfe3593b7881
863cd83f2d6047908e2c5daa46062a3d		2025-01-08 16:48:26.492808	2025-01-08 16:48:17.03136	{"p":"/onesis/kt4/job_results/p1876913803212488704.tif","fel":"/onesis/kt4/job_results/fel1876913802742726656.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876913802742726656.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 786 flats to resolve.\nDraining flats towards lower adjacent terrain\n............................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 31\nDraining flats towards lower adjacent terrain\n...\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.083271\nData read time: 0.109997\nCompute Slope time: 0.316974\nWrite Slope time: 0.075466\nResolve Flat time: 0.109667\nWrite Flat time: 0.033528\nTotal time: 0.728902\n	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/fel1876913802742726656.tif; D8单流向栅格: /onesis/kt4/job_results/p1876913803212488704.tif; 	\N	6	2597e723-9f7e-4601-ba65-dfe3593b7881
faac9e860c464bac84865d0327ad6934		2025-01-08 16:52:48.935576	2025-01-08 16:52:39.451063	{"sd8":"/onesis/kt4/job_results/sd81876914904670273536.tif","fel":"/onesis/kt4/job_results/fel1876914904183734272.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876914904183734272.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 786 flats to resolve.\nDraining flats towards lower adjacent terrain\n............................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 31\nDraining flats towards lower adjacent terrain\n...\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.087045\nData read time: 0.170815\nCompute Slope time: 0.230743\nWrite Slope time: 0.114640\nResolve Flat time: 0.111528\nWrite Flat time: 0.028278\nTotal time: 0.743049\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/job_results/fel1876914904183734272.tif; 坡度栅格: /onesis/kt4/job_results/sd81876914904670273536.tif; 	\N	6	ccc360fe-b38a-4705-acde-3147bf7308c0
b16d291ea9724f75ae814ce695d17848		2025-01-08 16:53:38.118152	2025-01-08 16:52:39.503753	{"log":"false","zfactor":"","i":"/onesis/kt4/job_results/fel1876914904183734272.tif","o":"/onesis/kt4/job_results/o1876914904477335552.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/job_results/fel1876914904183734272.tif; 对数转换输出: false; Z 转换因子: ; 输出栅格文件: /onesis/kt4/job_results/o1876914904477335552.tif; 	\N	7	ccc360fe-b38a-4705-acde-3147bf7308c0
5c4337e1648f4e5084304ab7fa58883d		2025-01-08 16:52:48.299142	2025-01-08 16:52:39.480647	{"fel":"/onesis/kt4/job_results/fel1876914904183734272.tif","plan":"/onesis/kt4/job_results/plan1876914904573804544.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/job_results/fel1876914904183734272.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.192642\nCompute time: 0.104952\nWrite time: 0.245242\nTotal time: 0.542836\n	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/job_results/fel1876914904183734272.tif; 平面曲率栅格: /onesis/kt4/job_results/plan1876914904573804544.tif; 	\N	6	ccc360fe-b38a-4705-acde-3147bf7308c0
ed0a729056b449d5a8e36048ce9bae1a		2025-01-08 16:52:48.955972	2025-01-08 16:52:39.617702	{"p":"/onesis/kt4/job_results/p1876914904229871616.tif","fel":"/onesis/kt4/job_results/fel1876914904183734272.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1876914904183734272.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 786 flats to resolve.\nDraining flats towards lower adjacent terrain\n............................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 31\nDraining flats towards lower adjacent terrain\n...\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.055637\nData read time: 0.183045\nCompute Slope time: 0.234080\nWrite Slope time: 0.081655\nResolve Flat time: 0.108586\nWrite Flat time: 0.025979\nTotal time: 0.688981\n	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/fel1876914904183734272.tif; D8单流向栅格: /onesis/kt4/job_results/p1876914904229871616.tif; 	\N	6	ccc360fe-b38a-4705-acde-3147bf7308c0
d96515faed3f4fd19600bdb8ccb3bee4		2025-01-08 16:52:57.467835	2025-01-08 16:52:39.41666	{"sca":"/onesis/kt4/job_results/ad81876914904280203264.tif","slp":"/onesis/kt4/job_results/sd81876914904670273536.tif","twi":"/onesis/kt4/job_results/twi1876914904762548224.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/job_results/sd81876914904670273536.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/job_results/ad81876914904280203264.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.020453\n	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/job_results/sd81876914904670273536.tif; 汇流累积量: /onesis/kt4/job_results/ad81876914904280203264.tif; 地形湿度指数: /onesis/kt4/job_results/twi1876914904762548224.tif; 	\N	6	ccc360fe-b38a-4705-acde-3147bf7308c0
\.


--
-- Data for Name: task_model_run_params; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.task_model_run_params (task_id, model_run_params_id) FROM stdin;
2694894f1d4f4348a07c4a0a0dfe8781	7447
2694894f1d4f4348a07c4a0a0dfe8781	7448
2694894f1d4f4348a07c4a0a0dfe8781	7449
510f654a4df34c25981c0dbf884cf2e6	7445
510f654a4df34c25981c0dbf884cf2e6	7446
3d64e1c9a5b046348bb318e2976d2d25	7452
3d64e1c9a5b046348bb318e2976d2d25	7453
3d64e1c9a5b046348bb318e2976d2d25	7454
ab3a33590bcc49fb87712be46f287f1f	7450
ab3a33590bcc49fb87712be46f287f1f	7451
790ca520f32c45e290c5dc4a33903a4a	23259
790ca520f32c45e290c5dc4a33903a4a	23260
790ca520f32c45e290c5dc4a33903a4a	23261
d23e479286cb4e4e81ecc85c709c6e9e	23262
d23e479286cb4e4e81ecc85c709c6e9e	23263
cfec860bf0eb4b5b8147b806b2a1b948	23264
cfec860bf0eb4b5b8147b806b2a1b948	23265
cfec860bf0eb4b5b8147b806b2a1b948	23266
3a56a695545c449f9b8a408a26d71d19	23267
3a56a695545c449f9b8a408a26d71d19	23268
c4897aaa87014dd3a853e0e1bbbe0dc0	23269
c4897aaa87014dd3a853e0e1bbbe0dc0	23270
c4897aaa87014dd3a853e0e1bbbe0dc0	23271
974031429db946faab3e89c553bcf383	23272
974031429db946faab3e89c553bcf383	23273
f05e77914b9047ff8216304766cd2e25	23276
f05e77914b9047ff8216304766cd2e25	23277
f05e77914b9047ff8216304766cd2e25	23278
5633e2c9ba2144529041c8bfceb0befd	23274
5633e2c9ba2144529041c8bfceb0befd	23275
6d84da192e464cf6a0b987770db8019b	23281
6d84da192e464cf6a0b987770db8019b	23282
e25f792cde7e4292a5f64fd619d76112	23283
e25f792cde7e4292a5f64fd619d76112	23284
5f0c49f67d744a8ba9eac4374924203b	23279
5f0c49f67d744a8ba9eac4374924203b	23280
463a068d15324e1eacce78b0aaa10fe8	23287
463a068d15324e1eacce78b0aaa10fe8	23288
463a068d15324e1eacce78b0aaa10fe8	23289
33b0b85267d54f21a9c42e1fb1d7f76c	23285
33b0b85267d54f21a9c42e1fb1d7f76c	23286
5228f56b089b497b9c27f72bff1c4f8f	23292
5228f56b089b497b9c27f72bff1c4f8f	23293
09d173568c7345f4aed3d41d3a4ec5b0	23294
09d173568c7345f4aed3d41d3a4ec5b0	23295
e836bc0184e0489181fc45e6d8352760	23290
e836bc0184e0489181fc45e6d8352760	23291
dffb3346920c44009efcfab6e9602f2b	23300
dffb3346920c44009efcfab6e9602f2b	23301
dffb3346920c44009efcfab6e9602f2b	23302
14b6b7a0064849c59609d68ef97d727d	23303
14b6b7a0064849c59609d68ef97d727d	23304
7bd12e35a20c456eb2a5de011fedbbe1	23296
7bd12e35a20c456eb2a5de011fedbbe1	23297
204e5f7642614f70ad68cd7e4b896943	23298
204e5f7642614f70ad68cd7e4b896943	23299
e0f1f086fbe44564a09ac0b71fac09dc	23305
e0f1f086fbe44564a09ac0b71fac09dc	23306
3608086ebb4e4af5aa4e14bc883147d2	23313
3608086ebb4e4af5aa4e14bc883147d2	23314
3608086ebb4e4af5aa4e14bc883147d2	23315
3608086ebb4e4af5aa4e14bc883147d2	23316
3608086ebb4e4af5aa4e14bc883147d2	23317
3608086ebb4e4af5aa4e14bc883147d2	23318
3608086ebb4e4af5aa4e14bc883147d2	23319
3608086ebb4e4af5aa4e14bc883147d2	23320
3608086ebb4e4af5aa4e14bc883147d2	23321
3608086ebb4e4af5aa4e14bc883147d2	23322
3608086ebb4e4af5aa4e14bc883147d2	23323
3608086ebb4e4af5aa4e14bc883147d2	23324
3608086ebb4e4af5aa4e14bc883147d2	23325
0f3a60ab949d40af9dfe927fa99b2088	23332
0f3a60ab949d40af9dfe927fa99b2088	23333
0f3a60ab949d40af9dfe927fa99b2088	23334
0c13d7502e0e4a009ba69d8868df0bfa	23330
0c13d7502e0e4a009ba69d8868df0bfa	23331
9553b68baa0b46eab19a13d288206839	23326
9553b68baa0b46eab19a13d288206839	23327
ccc4b6765e814800a54956ac3fa032c1	23311
ccc4b6765e814800a54956ac3fa032c1	23312
f1945062e3b840acbe1214354c0d014c	23340
f1945062e3b840acbe1214354c0d014c	23341
37a8df9febcc4406ab554d7370384af8	23335
37a8df9febcc4406ab554d7370384af8	23336
37a8df9febcc4406ab554d7370384af8	23337
528a40ba37b74de5a797523360268661	23328
528a40ba37b74de5a797523360268661	23329
334d2676550643a281efa39153a01c79	23338
334d2676550643a281efa39153a01c79	23339
28dffca9da5a4a7b95a0564f6808d3f1	23309
28dffca9da5a4a7b95a0564f6808d3f1	23310
3c9ad35241de43e58501d0e7f9751f18	23307
3c9ad35241de43e58501d0e7f9751f18	23308
ea52609755a8478aaa37fd8660e1f601	23436
ea52609755a8478aaa37fd8660e1f601	23437
ea52609755a8478aaa37fd8660e1f601	23438
d201f6348ff64608ab03ad66fa9af47a	23430
d201f6348ff64608ab03ad66fa9af47a	23431
a2d910ecd3194f36b05307015f24322e	23439
a2d910ecd3194f36b05307015f24322e	23440
84d5d4d52be6470e9abaef39d231edad	23434
84d5d4d52be6470e9abaef39d231edad	23435
a67b15d8d7ac43a1be835781bec18acd	23432
a67b15d8d7ac43a1be835781bec18acd	23433
34ce18c400b54aaebd3ee0d00ad7e0b0	23447
34ce18c400b54aaebd3ee0d00ad7e0b0	23448
34ce18c400b54aaebd3ee0d00ad7e0b0	23449
585177a1b07f430da66e1cfa8e5c6e9e	23441
585177a1b07f430da66e1cfa8e5c6e9e	23442
38591677d25a42599482a85a6cfec171	23450
38591677d25a42599482a85a6cfec171	23451
6f3ece61cb2a490481a831bfcf252470	23445
6f3ece61cb2a490481a831bfcf252470	23446
7482d5055d734d8381a0c7efa955666a	23443
7482d5055d734d8381a0c7efa955666a	23444
68b89db859544c50a0065049c82767b9	23458
68b89db859544c50a0065049c82767b9	23459
68b89db859544c50a0065049c82767b9	23460
e24d64dab17f4ff9a324f9d466220737	23452
e24d64dab17f4ff9a324f9d466220737	23453
1669953b90274a9f8a749bd6716a6ad8	23461
1669953b90274a9f8a749bd6716a6ad8	23462
1d18d4853c40483a941191d194b6c9ce	23456
1d18d4853c40483a941191d194b6c9ce	23457
98d8aaabb2b94919ae9dbe8dbe7b570f	23454
98d8aaabb2b94919ae9dbe8dbe7b570f	23455
900b8594fb0d4d098c9e507811b71734	23469
900b8594fb0d4d098c9e507811b71734	23470
900b8594fb0d4d098c9e507811b71734	23471
d58b743532e64c03879a639631aa9923	23463
d58b743532e64c03879a639631aa9923	23464
971f9bef5bb04c75add71b3b0ee549a1	23472
971f9bef5bb04c75add71b3b0ee549a1	23473
6809e212dc4242a3905585faebe2153a	23467
6809e212dc4242a3905585faebe2153a	23468
9c22be50e8014195871b6583b180eace	23465
9c22be50e8014195871b6583b180eace	23466
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32b30e8afa7944d5a85d5f1ee83f11d1	38750
32b30e8afa7944d5a85d5f1ee83f11d1	38751
32b30e8afa7944d5a85d5f1ee83f11d1	38752
32b30e8afa7944d5a85d5f1ee83f11d1	38753
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32b30e8afa7944d5a85d5f1ee83f11d1	38756
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ad84688877ad4b0ea1ec430937e9d5e0	39244
ad84688877ad4b0ea1ec430937e9d5e0	39245
ad84688877ad4b0ea1ec430937e9d5e0	39246
ad84688877ad4b0ea1ec430937e9d5e0	39247
166ecc16de084efb9a66f6b07e26d698	39231
166ecc16de084efb9a66f6b07e26d698	39232
db3be446c3cc4489a4f85f5c4740f546	39237
db3be446c3cc4489a4f85f5c4740f546	39238
863cd83f2d6047908e2c5daa46062a3d	39239
863cd83f2d6047908e2c5daa46062a3d	39240
321cb388d3a840cdb84883a7cfc670c7	39248
321cb388d3a840cdb84883a7cfc670c7	39249
321cb388d3a840cdb84883a7cfc670c7	39250
321cb388d3a840cdb84883a7cfc670c7	39251
321cb388d3a840cdb84883a7cfc670c7	39252
321cb388d3a840cdb84883a7cfc670c7	39253
321cb388d3a840cdb84883a7cfc670c7	39254
321cb388d3a840cdb84883a7cfc670c7	39255
321cb388d3a840cdb84883a7cfc670c7	39256
321cb388d3a840cdb84883a7cfc670c7	39257
d96515faed3f4fd19600bdb8ccb3bee4	39266
d96515faed3f4fd19600bdb8ccb3bee4	39267
d96515faed3f4fd19600bdb8ccb3bee4	39268
faac9e860c464bac84865d0327ad6934	39273
faac9e860c464bac84865d0327ad6934	39274
5c4337e1648f4e5084304ab7fa58883d	39262
5c4337e1648f4e5084304ab7fa58883d	39263
b16d291ea9724f75ae814ce695d17848	39269
b16d291ea9724f75ae814ce695d17848	39270
b16d291ea9724f75ae814ce695d17848	39271
b16d291ea9724f75ae814ce695d17848	39272
b6b30e6988c840cd942ea493be83e559	39258
b6b30e6988c840cd942ea493be83e559	39259
81528c900f9349a199d24561e93affa5	39260
81528c900f9349a199d24561e93affa5	39261
ed0a729056b449d5a8e36048ce9bae1a	39264
ed0a729056b449d5a8e36048ce9bae1a	39265
\.


--
-- Data for Name: user_info; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.user_info (id, email, user_name, user_type) FROM stdin;
02228d0a-d4ed-45de-8c55-020badfde43b	892250629@qq.com	admin4	4
ca6f0447-01ac-492d-a808-09315f605ac3	billtian945@163.com	bill	4
41aee82d-0b45-4c96-aa76-0b4b22a648d5	\N	renyingchao	3
d87f7311-7d7e-44c9-991d-9c55a89bc6aa	maxiaobo@test.com	maxiaobo	2
\.


--
-- Data for Name: user_project; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.user_project (id, aoi_id, completed_time, create_time, is_deleted, log, model_app_id, name, params, status, task_id, type, user_id, workflow_id, modeling_proj_id) FROM stdin;
63df4ae3fd8d40118c8814be19d47f4c		\N	2024-09-18 17:16:17.624165	t	\N	\N	填洼（坡度抬升填平）-09181716	\N	7	a4ad9f35908f42f6867269e13fabf1d6	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
2616d639b20045a2844710cd6139fcf5		\N	2024-09-29 21:20:24.864134	t	\N	\N	Prophet预测-09292119	\N	7	c3e3674404da4d8cb0c0b5f01f4e7264	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
abab223e2a1b407ca48f5dc266f394c0		\N	2024-09-30 09:13:36.260164	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09300913	\N	7	d937519afb6d4a41a930c7915255f37e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
f9f447ccd15e4a7b9162222ab9c593fc		\N	2024-09-30 14:39:25.811063	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301439	\N	7	dce8bb75d6d1484984e5fdd3367ab93b	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
09954ca37ab244dcbba294c21d1ab47d		\N	2024-09-30 11:19:11.406658	t	\N	\N	code-pitRemove-181011162	\N	6	ee8e4d90bfb94f24b3ffc93d01af8d77	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
623151634d3b4b5cac514e3b67595a2a	\N	\N	2024-09-19 12:33:24.81602	t	\N	aa11650f-932e-4fad-83b2-97daf41e74d3	汇流累积量	\N	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
48e39e3f0d3a4e94a359f0c0d536c361	\N	\N	2024-09-19 12:33:35.523202	t	\N	d7db1cec-634a-4068-bf93-e43a8c84f96c	水流功率指数	\N	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
39231aad9bba4df8ac5f9790c6ab54e6		\N	2024-09-21 17:03:07.783204	t	\N	793a2db5-f637-4680-860a-15d3151ac367	坡向	\N	3	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	0f0a154e-f964-438e-8e14-25e080e282b4	\N
0e6a41304d32490681222c747b431209	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:44:46.218405	t	\N	\N	梅溪流域-坡度（三阶二元泰勒多项式）-09291944	\N	6	7b2a7128ab1846cb8e73c25e59178172	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
46fd910a24454cd69022a2b15e6618fd		\N	2024-09-29 17:41:25.482269	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09291741	\N	7	1509bfc1a7ba4af99f96276741c8d657	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
8f5a8178ffa843b4b96e1e6e8c4b8065	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:05:49.038668	t	\N	\N	梅溪流域-坡度（最大下坡）-09292005	\N	6	6b0ece5c4a8f4d3cac38c23353ac13ef	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b078a1de511647cdb472e1f6c04125f6	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:24:10.708118	t	\N	\N	梅溪流域-河网提取（栅格）-09291924	\N	6	1bc6c681581d458db0d523ff3fe0f416	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
c523ad9331a94578a1d16dad06a42ea5	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:47:26.198086	t	\N	\N	梅溪流域-水流功率指数-09291947	\N	6	1e4fa6ff104840c9ba1bc6fecc79071d	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
3682e8d7f6da4876b5489befe7456cf3	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:33:46.615644	t	\N	\N	梅溪流域-河网提取（栅格）-09291933	\N	6	5b4f1950e6ca4ead80629bd80f260065	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
1965c3f48b5a4ba4961ad68d6cf702e0	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:02:03.934941	t	\N	\N	梅溪流域-坡度（最大下坡）-09292002	\N	6	477c6c9d70c642318e58e77507a19137	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
2076736b70114fd4a9ee2e4970e70949	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:18:52.980813	t	\N	\N	梅溪流域-汇流累积量_D8（单位汇水面积）-09292018	\N	6	d7edb91c181a412aaeca3853145002f1	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
7b0c0f8fef4949f68c95582a007a4f0a	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:38:10.832228	t	\N	\N	梅溪流域-汇流累积量_D8（栅格）-09291938	\N	6	5f3b05852ef649a1aefe048b3b1a141a	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
c0b1b98680c3434ea71894fbf312bf96	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:54:39.370618	t	\N	\N	梅溪流域-水流功率指数-09291954	\N	6	8e76f37dff2147e68649a7e35a42e89e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
eacb0923395a4fa19fa7b3185da69081	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:07:36.855849	t	\N	\N	梅溪流域-地形起伏度-09292007	\N	6	7de7d2acbd8d4ec78583649d7e2440ea	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
ed54679d2e0f489fb0823bff115f1db1	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:03:56.508987	t	\N	\N	梅溪流域-坡度（最大下坡）-09292003	\N	6	acd80a875a8c45e1bb7057f287369fcf	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
307765a7f4f6425a9bbef48f6603f3b7	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 19:59:00.563146	t	\N	\N	梅溪流域-地形湿度指数-09291958	\N	6	8b7fcd7220e2430c83b3157fe01f1aa6	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
c08c5606d02745dab7fa399b50fd3665		\N	2024-09-29 21:05:13.442058	t	\N	\N	地理探测器-09292104	\N	6	a184e3f158bb46659bad0454dc5d3c71	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
9b979a8cef394c468630e65b7bc7a62f	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:13:57.446588	t	\N	\N	梅溪流域-地形汇聚指数-09292013	\N	6	ea6c243123a1472888e0d973edfef259	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
523cfada50f740eb9cf47c37f3592332	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:12:24.138922	t	\N	\N	梅溪流域-平面曲率-09292012	\N	6	e0e6aebdf16a4d078128c49880ae5a61	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
84231b93ec184b8e8a63a214a46f38cb	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:22:04.548302	t	\N	\N	梅溪流域-水流功率指数-09292022	\N	6	b79d9435c3a6463f82ea4fe6df515e29	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
784e2c96902c4985a542e2f2d4f548ef	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-29 20:20:23.933506	t	\N	\N	梅溪流域-水流功率指数-09292020	\N	6	9215f465745f4dabace2846b199f0b9e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
bc8bc2c634a646db93ccc24eae0bf2ae		\N	2024-09-29 20:51:15.374669	t	\N	\N	时序自相关-09292050	\N	6	4c6394d7cce946c48cb01422ba5f7e22	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b9c3724acdf94183b67f83f596059535	\N	\N	2024-09-30 10:12:41.177131	t	\N	fcc07b72-74f5-49c8-9456-2ed7bc603563	流向工作流	{"Activity_0fyyf88":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=p, paramValue=/onesis/kt4/results/d8_flow.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_018o9dp":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
87d7ad59bd0a4d09b747452474451347		\N	2024-09-30 10:20:07.653434	t	\N	\N	流向(D8)-09301020	\N	6	647a9c3663f6486790032411807f42cc	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
2b6d642f84e1422bb1cf6d25c08f4d26	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-30 15:06:18.443125	t	\N	\N	梅溪流域-坡度（三阶二元泰勒多项式）-09301506	\N	6	4437bcceec4347188d52671faa0b2d8b	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
eaefecd730ab4676b26ff02f9354d818		\N	2024-09-30 14:54:05.546677	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301454	\N	7	2a2c3b50d8d9476c96aa170f68ff1d99	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b9f565a87f4c493bac5b2a157a1b8b21		\N	2024-10-01 10:12:22.053477	t	\N	\N	地理流的聚类中心计算-10011012	\N	3	8c1c6e81f7694718ae762fa417497ecc	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b5fb17f8c7d741298cff250ee04bc647		\N	2024-09-30 15:12:23.802832	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301512	\N	7	fee64fffdc29415ebba8a78d22ac10d1	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
ca66eef926a94dd090c5cca60a915a30		\N	2024-09-30 14:49:14.807544	t	\N	\N	Prophet预测-09301449	\N	7	0cefba0ab3f648a5a3f592cd41eb66d0	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b5aa6cf3544742fcaa4238fcc633771b		\N	2024-09-30 14:37:55.816892	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301437	\N	7	6cfc552abc134f66a9f9eabf028ad653	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
2cf7358e041e4f809d6617f4010244e1		\N	2024-09-30 14:44:38.088242	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301444	\N	7	e4db6414955d4acdbb7d7f040f54797b	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
9eb271db57ff483f9f5aa9382fea924e		\N	2024-09-30 14:43:12.560233	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301443	\N	7	3649c7764dd44ade9f26847779f89870	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
811f13708b524e24970d8960438f686f		\N	2024-09-30 22:33:43.365243	t	\N	\N	填洼（坡度抬升填平）-09302233	\N	3	9f25bb25487c4870897cf35762735697	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
3a89ca7a11894b2fa01d947498ca2c54		\N	2024-09-30 16:55:00.708595	t	\N	\N	地理流的聚类中心计算-09301655	\N	7	57df761ac3434c80a4cd2753fd27d67c	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
66564c6506c744159ee5289dad7a0af1		\N	2024-09-30 21:14:43.995071	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09302114	\N	9	1ccc9073adc343fcbf8398afb8b28d4e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
89b942b75864425abbd5a28692a166b6		\N	2024-09-30 16:56:06.984432	t	\N	\N	地理流的聚类中心计算-09301656	\N	7	296b6f31f95b475196d0abe4c6d19ccd	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
a5f847df9c734b29a2d4733944d73b0d		\N	2024-09-30 16:57:43.578784	t	\N	\N	地理流的聚类中心计算-09301657	\N	7	f5fd3dbc126044e996dfea1acda616f0	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b6c9ed4675824d9a9547ccf473953a81	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-30 19:54:13.669491	t	\N	\N	梅溪流域-水流功率指数-09301954	\N	6	757e8715dbe9448683a3539d2270dac9	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
037dbd8fcd47409f8641b03c774ea578		\N	2024-09-30 16:47:57.268305	t	\N	\N	地理流的IDW插值-09301647	\N	7	b296d0fec61e40bcabaa5d340b1433b7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
f0af6cbdbff9438b831c2bcb3b7f21c3		\N	2024-09-30 22:25:26.385972	t	\N	\N	地理流的I指数-09302225	\N	3	befec514086848d8a8bfa341e159f0b2	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
9e730db8d60347f5ae733cf1570385a6		\N	2024-09-30 22:28:07.290007	t	\N	\N	地理流的I指数-09302227	\N	3	3916a6f3ad5a47e1acaa419352e00e97	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
66c36035cac84ea680f01d8bbc925fd4		\N	2024-09-30 22:32:13.446005	t	\N	\N	水流功率指数-09302232	\N	3	abfc412ee4f849a68ce31e29c003270c	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
079d17156d8a4ce5af577c178d74ee11		\N	2024-09-30 16:58:37.90819	t	\N	\N	地理流的Kmeans聚类-09301658	\N	7	cd4a7ef925b0428cbe97a591bbb2e5f7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
f6dfcced2ef349b19634680b823140c4		\N	2024-09-30 22:23:15.854589	t	\N	\N	地理流的I指数-09302223	\N	3	ce63b977aeb04e7e99e99b15af75ccc1	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
6165ee75e4794de6a76082a3d3e32cfa		\N	2024-10-01 10:13:53.04069	t	\N	\N	地理流的聚类中心计算-10011013	\N	3	96d0370fa88042c6941b33e9cf47f16a	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
fcf824e763fd4f50ad8a334efb21c9d2		\N	2024-09-30 14:56:49.618756	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301456	\N	7	3c80621dcee34ff79c9867871920573b	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b5c5c7ea873e4c20bed9f018542cc7b9		\N	2024-09-30 16:50:02.800402	t	\N	\N	地理流的IDW插值-09301650	\N	7	1dedcf9c51f64c6f94dc5f39496e4e49	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
f1e21290c2bb41f0954c44833c68dc62		\N	2024-10-08 11:08:02.07303	t	\N	\N	视域范围分析算法-110800	\N	7	ecd381d36da642ed98d94ffd8f58f0c7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b0566aa3a59246a997788e233cfd31f3	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-30 12:51:34.259368	t	\N	\N	梅溪流域-水流功率指数-09301251	\N	6	20c0106b129c43478ba92f04feae4d0c	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
afe1ea067a8346769167ffc2b8ca1bcd		\N	2024-09-30 16:10:03.31922	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301610	\N	6	d83e3a5c13ba4fc588affd5df808b2f8	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
837ac1c1c6f844ae8f774fa6d9205acb	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-30 15:10:48.680262	t	\N	\N	梅溪流域-水流功率指数-09301510	\N	6	101350165bf8428380fd16b0eba9ff6e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
bda7efe7484840fe8fe3602b75f8b8c6		\N	2024-09-30 15:00:18.667662	t	\N	\N	填洼（坡度抬升填平）-09301500	\N	6	c7b921a9b9ff4e08be1af980632b1aeb	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
613dd7c75eb949c09bbeaf86f6505145		\N	2024-09-30 17:15:47.645758	t	\N	\N	地理流的Kmeans聚类-09301715	\N	6	3b36243b039d439cbdbbd115b134cc85	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
278b4d0b50994621a25ada1df3e4680c	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-09-30 15:04:23.137866	t	\N	\N	梅溪流域-水流功率指数-09301504	\N	6	fc2d723bd6a648e6a0b6c08f40ceae21	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
d09215cf083f46b88275f1dde2ff24fb		\N	2024-09-30 16:42:01.732758	t	\N	\N	地理流的最邻近插值-09301642	\N	7	a7cd03cfbfd547dcad497366832ab2ec	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
65da3f6915b34d789508b96a4bca5fa2		\N	2024-10-04 17:27:04.89136	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-172702	\N	7	5d401a725764423686555cef1b75a6c4	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
7911b7e4d35b455c94c5fff1fca0a634		\N	2024-10-04 18:49:00.970794	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-184900	\N	7	838ab643b2e24ff29863a188e6f476a5	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
879a060affb645729b42eb94b7f1516a		\N	2024-10-01 15:07:19.816139	t	\N	\N	流向(D8)-10011506	\N	6	e0208501ef6442cba85ba60d464d8c7f	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
03a15d4b763443f9a62338535ef9fae3	fb21777daf544ce5b7056587048162b3	\N	2024-10-02 15:43:09.325047	t	\N	\N	宣城-地理流的Geary'C指数分析-10021543	\N	3	84322cf2cf774dda81c642447c67cc4d	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
08870226d61347b48714abfd987258e7		\N	2024-10-04 17:39:38.031168	t	\N	\N	随机森林预测制图-173936	\N	7	fe71a73645a44cff9466f5b6020c2245	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
60b2bf48ae8341d8bdee09a0504418db		\N	2024-10-04 12:07:47.3838	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-120745	\N	7	68b83716ee454f97b64eba6382a666e9	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
3a3378a664b143a693d5f631e93948c3		\N	2024-10-04 12:09:54.373046	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-120943	\N	7	e28887471cdc4f86b6155c3f4107eba0	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
a55711585cda4d26bda14f91620ebdb4		\N	2024-10-02 15:53:55.369295	t	\N	\N	地理流的Geary'C指数分析-10021552	\N	9	93118356ec314e8cbc23351f1743af21	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
a3195f5134bb4ae789de7f429bb31ac0		\N	2024-10-04 12:11:53.028053	t	\N	\N	随机森林预测制图-121149	\N	7	1c36fd317f9d4f3ab87bd2eac44ea91f	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
cb86670445264647950f3c8fed4d61f9	fb21777daf544ce5b7056587048162b3	\N	2024-10-02 17:23:43.854638	t	\N	\N	宣城-地理流的I指数-10021723	\N	9	1de9d8f1f2ce4fd9ba9c10c10c3e93f3	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
35c585ba75d64659b20e0260464ff236	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-10-04 22:36:22.197409	t	\N	\N	梅溪流域-填洼（降低边缘洼地高度）-223621	\N	6	67f71531ac004ac8b8d932f0a0479336	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
bb5dcb05ed464836ba6521b0b0117565		\N	2024-10-05 11:45:03.849904	t	\N	\N	坡度（三阶二元泰勒多项式）-114501	\N	6	eccb85a1a46343d6ae28a6107ace85f3	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
06a0837d0bd540d4b70e1cc0732a0dbc		\N	2024-10-04 18:49:47.797044	t	\N	\N	随机森林预测制图-184944	\N	7	aadc935ab58c4a7dbe29b977d6862309	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
befddd35cceb48ecaef2851a5a55e04a		\N	2024-10-05 11:45:51.590989	t	\N	\N	坡度（三阶二元泰勒多项式）-114550	\N	6	2ecc6d3069c7491bb3a5946a41a10b6a	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
8f5446973cdf4767841dab03161f8b7b		\N	2024-10-05 11:47:29.696957	t	\N	\N	坡度（三阶二元泰勒多项式）-114728	\N	6	6f1dcccdc1a64523a9faf77ebce8a067	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
89293ac2d8ad466bbb0f6bb9d0331ade		\N	2024-10-04 22:43:07.9957	t	\N	\N	坡度（三阶二元泰勒多项式）-224304	\N	6	b37d548ef59843aaa1654d92be610ff7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
3c4bd3ec713c4936b8054491e87f39eb	e90216d682a74f59915ec2b6fa2f87c5	\N	2024-10-02 17:45:21.997343	t	\N	\N	梅溪流域-填洼（降低边缘洼地高度）-10021745	\N	6	49befeb795984e968196ba8d9b98484d	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
f46aba28545a42a4a8667a10ea7640c4		\N	2024-10-05 17:59:05.77905	t	\N	\N	地理流的重力模型-175904	\N	7	47406adb28e14da1885367e1ddef274c	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
504dbb03acdb4fb7992b2f081d7e2f19	\N	\N	2024-10-07 21:07:55.798347	t	\N	b0ff7a74-a9db-4903-be21-edeeb6d47512	汇流累积量_D8107	\N	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
e67d03b53f32473cbde2fa62107fedae		\N	2024-10-07 21:06:13.30692	t	\N	d0c4b07b-57d1-4cfc-8fd7-4745ba55fc33	坡向107	{"Activity_0jv27do":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/test_data/terr/terr/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0tvcfan":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=zfactor, paramValue=1), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/job_results/aspect.tif)], task_name=new_name, aoi_name=new_aoi]"}	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	b93716b4-5fc9-4934-b211-dc687a21746e	\N
fd2386e81af6489bb16facd1715943e6		\N	2024-10-04 19:10:23.715854	t	\N	\N	地理流的IDW插值-191022	\N	6	f7e3535806764072bbb90fcad2ece5d9	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
4f3ca1dc51ca4e4883a9d82fd0ecbbc2		\N	2024-10-04 18:56:50.725032	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-185649	\N	6	772ee4bc556844948bf53e857a7a893d	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
eaa202d4d5b24ee69311b2c869b6c9f6	fb21777daf544ce5b7056587048162b3	\N	2024-10-02 15:42:01.053551	t	\N	\N	宣城-地理流的Geary'C指数分析-10021541	\N	9	aaf5dfcc85b543729ef9f0bdcc1d3b0e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
4f56497b826846778f14314b7fa04815		\N	2024-10-04 01:10:19.299593	t	\N	\N	填洼（坡度抬升填平）-011017	\N	6	67adf9b41b8d41d98dcd2d7ef004ee4f	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
2529076336304f38b3947c40f0ec56eb		\N	2024-10-04 19:13:55.498065	t	\N	\N	地理流的聚类中心计算-191354	\N	6	0b93864105ca462f9454450a08c47e1c	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
4f9a2b32400340db836a0a6b81e64f94		\N	2024-10-04 18:22:47.262503	t	\N	\N	填洼（填平）-182245	\N	6	2bea70d4e05042508f31b080e93944e8	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
2da44a3d9ca048b499b5a75ed9303b48		\N	2024-10-04 18:59:48.65687	t	\N	\N	随机森林预测制图-185947	\N	6	0f002f9c5780477baa99ed0072a47dd7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
d396d5a0b6ae4e6b8a7e732e1cc576da		\N	2024-10-04 18:52:55.811641	t	\N	\N	基于样点个体代表性的地理空间特征空间推测(iPSM)-185255	\N	7	e1543167df56449fb840766e406693c2	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
7fa8ce0bff174fef881de02f035f395a		\N	2024-10-04 19:12:23.546953	t	\N	\N	地理流的最邻近插值-191222	\N	6	cb288cdf2b7c42f0a3306bfff697d3be	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
ebd0c85c90eb434c8424694244ae5c58		\N	2024-10-04 22:38:33.02722	t	\N	\N	填洼（降低边缘洼地高度）-223829	\N	6	3bb9e07dafd8470f861af70a16f4eb34	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
634d930a0efe47adb9979ab91f57e06a		\N	2024-10-04 19:14:43.961172	t	\N	\N	地理流的Kmeans聚类-191443	\N	6	a501962808164fe2b8ffb7bbef792dfb	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
197724c1ad3d433b897174a3145d81bb		\N	2024-10-05 14:14:41.227765	t	\N	\N	填洼（降低边缘洼地高度）-141440	\N	6	17069da7abda4323a8b42cbd656291b8	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
14f88fa72ebb4b60afdf5d3b9b292861		\N	2024-10-05 17:07:56.617744	t	\N	\N	地理流的Geary'C指数分析-170755	\N	6	48e6b50440a54245877647f32f98d515	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
0e7ce46ca5e54226b5317157842b833e		\N	2024-10-05 17:51:34.348176	t	\N	\N	地理流的I指数-175117	\N	6	ec36621528104108a8c972b269567eba	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
a2f9047c5f004ec1a8eed6842662816b		\N	2024-10-08 11:27:49.926363	t	\N	\N	切向曲率-112749	\N	6	87e19d90eaf947e28f91b09bda8a5525	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
300bf7d9bb764468864394932f4306c8		\N	2024-10-07 22:51:54.718295	t	\N	\N	坡向107	\N	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	b230c894-ef84-4e0d-8a50-28138a249a4f	\N
e9999105f7ea410aaa8eb5df20c6b12a		\N	2024-10-07 23:05:12.600137	t	\N	\N	地理流的重力模型-230511	\N	6	eecac1378bbf4e9fbb9350976fdbb7a5	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
abcb957ebbf6408fa0847b1eb4a3954e		\N	2024-10-08 01:11:51.363246	t	\N	\N	汇流累积量_D8（单位汇水面积）-011144	\N	7	09116a5e944e4f33913590914e3aa7c7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
be76be0f136448e9bed7f46f59dc72e1		\N	2024-10-08 01:36:56.891071	t	\N	\N	可视性指数-013655	\N	9	e9ee8b24a9494dca81f0d05cfd7f90f1	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
d06a2e40850c40efac1d1d9d24ae8f82		\N	2024-10-07 22:58:22.486034	t	\N	\N	地形湿度指数107	\N	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	5484332a-0470-4c58-9c03-442e7d625331	\N
877a2cdacf40420d8f96619115140279		\N	2024-10-07 22:59:28.450421	t	\N	\N	地理流的重力模型-225928	\N	7	8f561ad1e8974f9082c488eb96934357	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
24aff00c55514c968cecdcccb9ba9835		\N	2024-10-07 22:55:41.112907	t	\N	\N	地理流的重力模型-225540	\N	7	b747d9f6ade845c88e33e83377b328c5	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
15808541868547d9ada117cc3e15ee70		\N	2024-10-08 10:52:38.237109	t	\N	\N	汇流累积量_D8（单位汇水面积）-105235	\N	9	3396cdac960745419a33d17c5a49a7d7	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
669d0969d4e14458aeb7b73e10afb72a		\N	2024-10-08 01:07:13.21339	t	\N	\N	汇流累积量_D8（单位汇水面积）-010711	\N	7	f566a2daf6444d90a3ce2912e0e526b4	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
541306da2bcd43ffbe325349f3368672		\N	2024-10-08 01:43:45.702903	t	\N	\N	可视性指数-014345	\N	9	de78aa14b3434a25a029f16f77f48528	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
6296513628ba41d98809a81787217ac2	\N	\N	2024-10-08 11:48:08.378391	t	\N	01100980-e6e6-40ff-92fd-e1e168e44e53	流向(D8)-114720	{"Activity_0nxxr1n":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_1lv4rzj":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=p, paramValue=/onesis/kt4/job_results/d8_test.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0dehhg8":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=ad8, paramValue=/onesis/kt4/job_results/acc_flow.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
711b296520b94161805bef29d08a2a32		\N	2024-10-08 09:53:06.477524	t	\N	72f9376b-41ef-419c-8a33-332bc09dd7a4	土壤属性空间推测(iPSM)-094956	{"Activity_0lytjys":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=simithred, paramValue=0.3), ModelRunParam(id=null, paramName=sample, paramValue=/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv), ModelRunParam(id=null, paramName=target, paramValue=SOM), ModelRunParam(id=null, paramName=predmap, paramValue=/onesis/kt4/job_results/output1.tif), ModelRunParam(id=null, paramName=uncmap, paramValue=/onesis/kt4/job_results/output2.tif)], task_name=iPSM, aoi_name=fb21777daf544ce5b7056587048162b3]","Activity_1a7v7ce":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif)], task_name=new_name, aoi_name=new_aoi]"}	9	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	41b0fef0-0acc-4839-816f-811c8eea8107	\N
02fefa1b58304d47a23ce38b7005d48e		\N	2024-10-07 22:55:43.004392	t	\N	7b74b5c6-a381-441b-bd07-3f63d7a295aa	地形湿度指数107	{"Activity_0u298l8":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=twi, paramValue=/onesis/kt4/dem/twi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0mdeem4":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dem/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]"}	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	01ee72c4-acb3-4127-89c4-bfe12463f60a	\N
5e7d912677864bd980381e422cf3bcc8		\N	2024-10-07 23:45:28.381205	t	\N	\N	填洼（降低边缘洼地高度）-234526	\N	6	428a09b9379048db8e1b6994ad197585	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
429a6cf82b4847e6b3740fa8d7995d60		\N	2024-10-08 01:26:48.46703	t	\N	\N	切向曲率-012648	\N	6	cb262a29922c4dc887b4d1d2f5be333c	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
6d59e8a88a334d87b2ad7679252a9a88		\N	2024-10-08 01:41:03.835603	t	\N	\N	可视性指数-014103	\N	9	8800922652814d39868460859a1936e1	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
dd6462a1c4b14117b202d3f63059ad50		\N	2024-10-08 01:30:34.568207	t	\N	\N	剖面曲率-013033	\N	6	e4c2d13e102647409723b6388da2324d	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
5040c0be8e1f46fd988a14717f51b365		\N	2024-10-08 01:32:46.109467	t	\N	\N	坡向（三阶二元泰勒多项式）-013245	\N	6	9a1db8a4dcac420dbb55cdb573748474	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
208c5092032c4c3aabdd514674ebe896		\N	2024-10-08 11:12:58.09381	t	\N	\N	汇流累积量_D8（单位汇水面积）-111255	\N	7	b1d42e70fb3d4795bd8c5c57e96d1eeb	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
75de52aba3574482a3f9aa58b9268835		\N	2024-10-08 09:30:20.90989	t	\N	8c4179ca-529f-4fbf-af41-b1ead844aa37	地形湿度指数-093006	\N	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	2a03ba80-9139-4e66-8bf1-3479e50e90d1	\N
5a0154c09ab14e00838411ea1c8c2ec7		\N	2024-10-08 10:24:49.810255	t	\N	\N	剖面曲率-102444	\N	6	afbf2fd0be3a47f5812641bd8c77c590	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
b153708d273140bba429a1487e58c553		\N	2024-10-08 11:20:23.847761	t	\N	\N	视域范围分析算法-112005	\N	7	614a37a8f5ec408baae6501faa3f1d43	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
a40eca3b54024d4db09d669c587104f8		\N	2024-10-08 11:22:15.199693	t	\N	\N	视域范围分析算法-112214	\N	6	092ee0bac3e0456ba2428864da00a94d	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
e368ec3bf06c46b39fe31c767fc303ac		\N	2024-10-08 11:30:11.76242	t	\N	\N	切向曲率-113011	\N	6	2baa4faf58d8485faea4ac9bb8965809	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
88b4215ea26b4f61a715cf0450381c9d		\N	2024-10-08 11:30:52.402057	t	\N	\N	剖面曲率-113052	\N	6	f5d95b879dc34bb29b557df23d9fe964	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
0b6d9a4148b84f848602df08a0b0dec4	\N	\N	2024-10-08 11:43:11.787305	t	\N	60f1740f-aa51-4cd4-aad5-61aed93a2519	流向(D8)-1	{"Activity_0nxxr1n":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_1lv4rzj":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=p, paramValue=/onesis/kt4/job_results/d8_test.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
aa985f2907ec49dba57c09466f058545		\N	2024-12-09 17:35:02.342913	t	\N	e7681e40-46d4-4f8a-aed6-ee2407e54394	whhp-135553-173502	\N	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	74b2e657-daf3-4e0d-b5dd-725dfe6afcd6	\N
544914ea69e545f9bbba7da9f15cbae2	\N	\N	2024-10-08 11:52:17.388781	t	\N	be5638ea-e32e-4691-bb07-b2ebe2b6c14a	流向(D8)-115137	{"Activity_0kwjdg5":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0an93as":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=p, paramValue=/onesis/kt4/job_results/d8test.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
4746f564f89245008a0741b0baf8970e	\N	\N	2024-10-08 11:53:32.607903	t	\N	aa193480-e216-4870-944a-cb43525b3fea	地形湿度指数-115255	{"Activity_06t9w7s":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0tvl2ug":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=twi, paramValue=/onesis/kt4/job_results/twi.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
c4ed4602f291434bb79918bdfa02175d	\N	\N	2024-10-08 12:09:17.49585	t	\N	f0502f16-3013-4c83-b905-12c60227cf25	地形湿度指数-120904	{"Activity_06t9w7s":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0tvl2ug":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=twi, paramValue=/onesis/kt4/job_results/twi.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
66a77f6bacd749a38feccc9b79b29ae8	\N	\N	2024-10-08 16:32:41.585536	t	\N	4a09e7d7-8d0e-4509-8413-5ea897c0ae46	填洼（坡度抬升填平）-163211	{"Activity_18r72fd":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0iqsdah":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=out_type, paramValue=cells), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/job_results/acc_whitebox.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
1eec0a4d4c6c45149385b614160625b7		\N	2024-12-09 17:25:16.751259	t	\N	\N	最近距离计算-172510	\N	6	5090a24f44d9464d82f13bdbf6ede61b	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
1406416ba86e40248e1ee95f962d37f6		\N	2024-12-09 17:26:40.588692	t	\N	\N	数据连接-172634	\N	6	42c3b023d5f04f03a23dae57f8fa4c52	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
d7b3341118da4d1290eaa22a0a633c83	\N	\N	2024-10-08 16:29:33.978136	t	\N	cb8653bf-b2e7-4334-9db4-e9f1f63bf69e	填洼（降低边缘洼地高度）-162924	{"Activity_104hgt7":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_1b3uecj":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=out_type, paramValue=cells), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/job_results/acc_whitebox.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
0e3d87194e354727972f70ac53331001		\N	2024-10-08 16:08:33.228886	t	\N	\N	汇流累积量_D8（单位汇水面积）-160828	\N	6	4aee0bdf203d4c7c982a5dd2176bb6d5	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
eba8ff97973d48ff82be4946e7766734		\N	2024-10-04 22:41:01.757206	t	\N	\N	汇流累积量_D8（单位汇水面积）-224100	\N	7	aaf720eefeb74b7a8db315d6ecb0c2ff	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
01c27ebe9de748f093537327dc94a2eb		\N	2024-09-30 22:24:41.98937	t	\N	\N	地理流的I指数-09302224	\N	3	87293ecda73d4facab91ed4f8ed89c5e	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
ac2de16a75784e0193c32b1b779807f3	\N	\N	2024-10-08 16:27:40.389164	t	\N	718a5d39-5cd1-43ee-a41c-6341b80611ba	汇流累积量_D8（单位汇水面积）-162726	{"Activity_0xlip7d":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0pj2j9e":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=out_type, paramValue=cells), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/job_results/acc_whitebox.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
031c83c15a484565a82a5431d6b54117	\N	\N	2024-10-08 16:36:57.598521	t	\N	7be02cc3-260d-4cb8-b9ac-c6eaf005910c	汇流累积量_D8（单位汇水面积）-163622	{"Activity_11lpnrb":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_1qntnmh":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=out_type, paramValue=cells), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/job_results/acc_white.tif)], task_name=new_name, aoi_name=new_aoi]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
8cd0992552c345e7bbf5a47fbb5441e6		\N	2024-10-08 16:25:11.548486	t	\N	\N	汇流累积量_D8（单位汇水面积）-162511	\N	6	d7f7d83337d740da8851507b4953e7a1	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
afd3998f40a34af2a94ba12005644109		\N	2024-10-09 15:49:44.33135	t	\N	\N	填洼（填平）-154944	\N	6	811445f74f5f444baf0ab02a5e0c3014	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
75e16757207e460fa6fab75bc9803f17		\N	2024-10-08 16:43:34.315513	t	\N	2d380cb5-f4d3-4c43-9bb7-211ea37ca684	汇流累积量_D8（单位汇水面积）-164252-212309	{"Activity_0kfyi2y":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/test_data/terr/dem.tif)], task_name=new_name, aoi_name=new_aoi]","Activity_0l2zd02":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=out_type, paramValue=cells), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/job_results/acc.tif)], task_name=new_name, aoi_name=new_aoi]"}	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	e1f22a6b-24f2-472e-8d95-2055f44cff94	\N
e036573a218048aea5d7020b8e4e356a		\N	2024-12-04 14:19:05.281731	t	\N	a8318983-765c-47c1-b4d5-8d2449954358	model1418-141911	{"Activity_1utdgjx":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=r, paramValue=semantic@csv2shp-neardist), ModelRunParam(id=null, paramName=f, paramValue=/onesis/kt4/test_data/regr/_whhp/school.csv), ModelRunParam(id=null, paramName=c, paramValue=EPSG:4326), ModelRunParam(id=null, paramName=a, paramValue=lng), ModelRunParam(id=null, paramName=b, paramValue=lat)], task_name=null, aoi_name=null]","Activity_0c06qub":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=t, paramValue=semantic@csv2shp-neardist), ModelRunParam(id=null, paramName=d, paramValue=/onesis/kt4/test_data/regr/_whhp/whhp.shp), ModelRunParam(id=null, paramName=i, paramValue=OBJECTID), ModelRunParam(id=null, paramName=o, paramValue=/onesis/kt4/test_data/regr/_whhp/res/neardist_12041418.csv)], task_name=null, aoi_name=null]"}	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	22a9b451-24d7-4ad1-a12c-1554b1919876	\N
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0432a0097ebb4883b3ec62f9930c9bc1		\N	2025-01-02 17:00:35.235973	t	\N	\N	两条线的夹角-170034	\N	6	6e4e3d62ce29460bb38ebaeaca9ef792	0	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
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ca6b12adc7ae44b299b9a7de7ed8dca5		\N	2025-01-08 15:36:56.719049	f	\N	e0b6a4fc-786a-4384-9040-692535f49769	地形湿度指数-154930	{"Activity_0b5eely":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=slp, paramValue=semantic@slope), ModelRunParam(id=null, paramName=sca, paramValue=semantic@flow_accumulation), ModelRunParam(id=null, paramName=twi, paramValue=/onesis/kt4/job_results/twi_wcl_01.tif)], task_name=null, aoi_name=null]","Activity_0gryzb7":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=p, paramValue=semantic@flow_direction), ModelRunParam(id=null, paramName=ad8, paramValue=semantic@flow_accumulation)], task_name=null, aoi_name=null]","Activity_02oz798":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=sd8, paramValue=semantic@slope)], task_name=null, aoi_name=null]","Activity_0a9muej":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/dem_meixi.tif)], task_name=null, aoi_name=null]","Activity_0h4v6hd":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=p, paramValue=semantic@flow_direction)], task_name=null, aoi_name=null]"}	6	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	12103755-e251-4d05-b225-bf15178020e5	\N
28045b11b57f4b57845c62e2453450e1	\N	\N	2025-01-08 16:41:48.495055	f	\N	2f787368-17ca-4d35-b196-4120869c1e73	房价预测	{"Activity_0xita9g":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=d, paramValue=), ModelRunParam(id=null, paramName=t, paramValue=semantic@csv2shp-neardist), ModelRunParam(id=null, paramName=i, paramValue=), ModelRunParam(id=null, paramName=o, paramValue=semantic@neardist-join)], task_name=null, aoi_name=null]","Activity_0grhjzq":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=f, paramValue=semantic@join-varselect), ModelRunParam(id=null, paramName=t, paramValue=true), ModelRunParam(id=null, paramName=i, paramValue=), ModelRunParam(id=null, paramName=k, paramValue=gaussian), ModelRunParam(id=null, paramName=b, paramValue=20), ModelRunParam(id=null, paramName=r, paramValue=)], task_name=null, aoi_name=null]","Activity_0hqkukt":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=f, paramValue=semantic@join-varselect), ModelRunParam(id=null, paramName=d, paramValue=), ModelRunParam(id=null, paramName=i, paramValue=), ModelRunParam(id=null, paramName=k, paramValue=gaussian), ModelRunParam(id=null, paramName=a, paramValue=CV), ModelRunParam(id=null, paramName=r, paramValue=), ModelRunParam(id=null, paramName=o, paramValue=semantic@varselect-regr)], task_name=null, aoi_name=null]","Activity_15mwkl9":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=d, paramValue=), ModelRunParam(id=null, paramName=t, paramValue=semantic@neardist-join), ModelRunParam(id=null, paramName=i, paramValue=), ModelRunParam(id=null, paramName=j, paramValue=), ModelRunParam(id=null, paramName=o, paramValue=semantic@join-varselect)], task_name=null, aoi_name=null]","Activity_06gb191":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=f, paramValue=), ModelRunParam(id=null, paramName=a, paramValue=), ModelRunParam(id=null, paramName=b, paramValue=), ModelRunParam(id=null, paramName=c, paramValue=), ModelRunParam(id=null, paramName=r, paramValue=semantic@csv2shp-neardist)], task_name=null, aoi_name=null]","Activity_1cb29k0":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=f, paramValue=semantic@join-varselect), ModelRunParam(id=null, paramName=o, paramValue=semantic@varselect-regr), ModelRunParam(id=null, paramName=d, paramValue=), ModelRunParam(id=null, paramName=i, paramValue=), ModelRunParam(id=null, paramName=n, paramValue=3), ModelRunParam(id=null, paramName=k, paramValue=gaussian), ModelRunParam(id=null, paramName=t, paramValue=true), ModelRunParam(id=null, paramName=s, paramValue=true), ModelRunParam(id=null, paramName=a, paramValue=CV), ModelRunParam(id=null, paramName=s, paramValue=true), ModelRunParam(id=null, paramName=b, paramValue=20), ModelRunParam(id=null, paramName=m, paramValue=false), ModelRunParam(id=null, paramName=p, paramValue=), ModelRunParam(id=null, paramName=r, paramValue=), ModelRunParam(id=null, paramName=h, paramValue=)], task_name=null, aoi_name=null]","Activity_03og7ft":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=f, paramValue=semantic@join-varselect), ModelRunParam(id=null, paramName=o, paramValue=semantic@varselect-regr), ModelRunParam(id=null, paramName=d, paramValue=), ModelRunParam(id=null, paramName=i, paramValue=), ModelRunParam(id=null, paramName=n, paramValue=3), ModelRunParam(id=null, paramName=k, paramValue=gaussian), ModelRunParam(id=null, paramName=t, paramValue=true), ModelRunParam(id=null, paramName=a, paramValue=CV), ModelRunParam(id=null, paramName=m, paramValue=false), ModelRunParam(id=null, paramName=p, paramValue=), ModelRunParam(id=null, paramName=r, paramValue=), ModelRunParam(id=null, paramName=h, paramValue=)], task_name=null, aoi_name=null]"}	11	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	\N	\N
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abc69bdff54946e087c441c81f2a3ee9		\N	2025-01-08 16:52:05.86917	f	\N	e943bb0e-ee28-4fed-9c77-c4cac561d766	土壤属性空间推测-鹤山-01-165239	{"Activity_129etca":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=sample, paramValue=/onesis/kt4/dsm_case/heshan/hs_samples_900913.csv), ModelRunParam(id=null, paramName=target, paramValue=SOM), ModelRunParam(id=null, paramName=inlayer0, paramValue=null), ModelRunParam(id=null, paramName=inlayer1, paramValue=null), ModelRunParam(id=null, paramName=inlayer2, paramValue=null), ModelRunParam(id=null, paramName=inlayer3, paramValue=null), ModelRunParam(id=null, paramName=inlayer4, paramValue=null), ModelRunParam(id=null, paramName=inlayer5, paramValue=null), ModelRunParam(id=null, paramName=inlayer6, paramValue=null), ModelRunParam(id=null, paramName=inlayer7, paramValue=null), ModelRunParam(id=null, paramName=simithred, paramValue=null), ModelRunParam(id=null, paramName=predmap, paramValue=null), ModelRunParam(id=null, paramName=uncmap, paramValue=null)], task_name=null, aoi_name=null]","Activity_1n2ebok":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=slp, paramValue=semantic@slope), ModelRunParam(id=null, paramName=sca, paramValue=semantic@flow_accumulation), ModelRunParam(id=null, paramName=twi, paramValue=semantic@topographic_wetness_index)], task_name=null, aoi_name=null]","Activity_08stl19":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=sd8, paramValue=semantic@slope)], task_name=null, aoi_name=null]","Activity_1lx5r0y":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=plan, paramValue=semantic@plan_curvature)], task_name=null, aoi_name=null]","Activity_15kazc1":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=i, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=log, paramValue=false), ModelRunParam(id=null, paramName=zfactor, paramValue=), ModelRunParam(id=null, paramName=o, paramValue=semantic@profile_curvature)], task_name=null, aoi_name=null]","Activity_16drhby":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=z, paramValue=/onesis/kt4/dsm_case/heshan/dem_heshan_900913.tif), ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem)], task_name=null, aoi_name=null]","Activity_00pmwip":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=p, paramValue=semantic@flow_direction), ModelRunParam(id=null, paramName=ad8, paramValue=semantic@flow_accumulation)], task_name=null, aoi_name=null]","Activity_0lqedf9":"ModelRunPostBody[params=[ModelRunParam(id=null, paramName=fel, paramValue=semantic@filled_dem), ModelRunParam(id=null, paramName=p, paramValue=semantic@flow_direction)], task_name=null, aoi_name=null]"}	7	\N	1	02228d0a-d4ed-45de-8c55-020badfde43b	ccc360fe-b38a-4705-acde-3147bf7308c0	0c8de5727cc94584830216c39d07b47a
\.


--
-- Data for Name: workflow; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.workflow (id, deleted, status, model_app_id, portal_id) FROM stdin;
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5484332a-0470-4c58-9c03-442e7d625331	t	6	7b74b5c6-a381-441b-bd07-3f63d7a295aa	\N
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4671caac-8bb7-408e-b5c7-42d7179cbaee	f	6	e0b6a4fc-786a-4384-9040-692535f49769	655
e1630d27-8ad9-4fab-a24c-51f151e103cb	f	6	e0b6a4fc-786a-4384-9040-692535f49769	645
86fa3386-30e8-410d-9400-1c63c0482861	f	6	e0b6a4fc-786a-4384-9040-692535f49769	646
8be2d77b-a0a0-4125-bbdd-c6cd3eda3cd0	f	6	e0b6a4fc-786a-4384-9040-692535f49769	656
bbcbd99b-8500-4090-b0ff-988ea9a97b51	f	6	e0b6a4fc-786a-4384-9040-692535f49769	647
2ca6de6e-1a91-4640-973c-71fdbebc9b51	f	7	e0b6a4fc-786a-4384-9040-692535f49769	664
895244c4-4c68-4665-852a-d7182db4772b	f	6	e0b6a4fc-786a-4384-9040-692535f49769	648
b025bd7c-d147-4972-a023-ef6039bc3586	f	6	e0b6a4fc-786a-4384-9040-692535f49769	657
043c0e98-ceeb-41c2-8fb9-135f42b9b760	f	6	e0b6a4fc-786a-4384-9040-692535f49769	658
239f977e-4093-42f5-bf68-7581b6709ab5	f	6	e0b6a4fc-786a-4384-9040-692535f49769	665
009b3712-75ca-4204-a2ad-786d5a7a4fd4	f	6	e0b6a4fc-786a-4384-9040-692535f49769	659
565354d1-f3c5-4c49-9d46-24769beb8f26	f	6	e0b6a4fc-786a-4384-9040-692535f49769	666
05f56523-c427-48f4-9df6-4a1c3dfe5961	f	6	e0b6a4fc-786a-4384-9040-692535f49769	667
81c55e7a-d08e-4312-ae8a-a3464d53e8af	f	6	e0b6a4fc-786a-4384-9040-692535f49769	668
2903307a-802e-47a8-8b31-7a79feb4f90a	t	7	84f19fff-0282-49ee-a418-fca3c2b3998c	\N
78d1ab87-9334-4ee6-8ff7-93dcb6ab4baa	f	6	e0b6a4fc-786a-4384-9040-692535f49769	708
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01ee72c4-acb3-4127-89c4-bfe12463f60a	t	6	7b74b5c6-a381-441b-bd07-3f63d7a295aa	\N
2a03ba80-9139-4e66-8bf1-3479e50e90d1	t	6	8c4179ca-529f-4fbf-af41-b1ead844aa37	\N
e1f22a6b-24f2-472e-8d95-2055f44cff94	t	6	2d380cb5-f4d3-4c43-9bb7-211ea37ca684	\N
22a9b451-24d7-4ad1-a12c-1554b1919876	t	6	a8318983-765c-47c1-b4d5-8d2449954358	\N
1aa37ace-3226-4ada-b59c-530105710742	t	6	240bb6e2-a581-42c2-9c45-c5bab63f20ec	\N
015f851d-9b6a-4c28-89ca-56ee9b2411b8	t	6	4c26762c-88b1-41ee-bd24-174ff3f2ba7d	\N
3841776d-4c87-453f-9ac1-7678900f06d0	t	6	a2fa40ff-c976-45a6-8735-430c2802d5cd	\N
d825aadd-bd37-4699-8824-7a7ba3a26e46	t	6	c14b18ef-61f1-4c73-a01c-4dcf8d265221	\N
eb726c9c-6f2c-45e9-931d-5ef2dccd1134	t	6	f614900b-1b68-48c3-8ab5-b2ff530e4aee	\N
b1f2781c-58ed-48f6-8615-a77ebdbffdb4	t	7	e7681e40-46d4-4f8a-aed6-ee2407e54394	\N
bd5c2ba8-c84d-492f-88cd-1cea6f2a96c3	t	6	8e18336f-212e-4dd9-8e17-5321c186a03d	\N
dff839e2-1cf5-4a90-8aa1-ebde54892168	t	7	84f19fff-0282-49ee-a418-fca3c2b3998c	\N
74ce2c17-430f-4ecf-9ad9-ced80ea0499c	t	7	84f19fff-0282-49ee-a418-fca3c2b3998c	\N
c59aa852-e823-4121-a2e7-7da16b1815ab	t	6	233a1a6e-1503-4ef8-a9e3-d05e7bd0eaaf	\N
30aa6ea3-1717-43d4-ad1e-70af213df875	t	6	b88858db-a2b0-45bd-8748-d5ed5229a89a	\N
0301a9b8-87c9-4a74-8207-d9fd9088c5b7	t	6	1d0d1282-3985-4258-b7cc-869a81f2a7be	\N
4c9f86f5-2c8c-4c47-b34e-c28f4ee0279e	t	7	eae2b41f-55c3-4a87-83bb-51f9507c5fb0	\N
0b108e5a-9bc2-45af-94a1-77e7eeb39b14	t	6	eae2b41f-55c3-4a87-83bb-51f9507c5fb0	\N
132e9d2e-8cca-471f-a485-cc7d54e379a6	t	6	84f19fff-0282-49ee-a418-fca3c2b3998c	\N
95a00467-da7f-42eb-988c-7496d1ecd64b	t	6	d61845e0-4587-4a8c-9c72-bd81c272d465	\N
8f63b228-d90c-44e1-9f88-78693e51bc00	t	7	eff9e412-0b30-4b7d-872b-3aeacf00f7d8	\N
f04369d5-50b1-4205-8980-07e28816c959	t	6	eff9e412-0b30-4b7d-872b-3aeacf00f7d8	\N
3a10687c-f44c-46dc-adb7-664d36cf7330	t	6	84f19fff-0282-49ee-a418-fca3c2b3998c	\N
da7c1e77-2f35-4a6c-90a2-3f7f328628d1	t	6	e0b6a4fc-786a-4384-9040-692535f49769	\N
e95e4a94-7559-454e-93ed-4909b5ae8154	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	727
9a866cc3-c9a0-4c5f-ae94-8a39f6ad2923	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	728
f4011d59-b2a7-4550-b84a-8aa50f742864	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	719
1a7a151e-1504-4d5e-8f67-e3fa8549081d	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	729
220aef12-09ad-434c-aa2d-04914a69bc6c	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	720
f4b71fd7-895e-451a-b72b-b546e3588f58	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	730
2b175d24-3d52-45a5-ac1b-446c73264fe6	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	721
935d54c3-d3ca-4f45-b904-677b16f7e628	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	722
2f2eafa3-cefd-4a0c-a429-6d20e166c686	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	731
caa07c40-8e60-487f-9852-52f6c7ca4f84	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	723
3b1e6d8e-4054-4109-a136-99153f37b35c	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	724
eca378da-de4b-439c-86a0-4260ab89d621	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	725
2cf6be48-1562-40b9-a416-ef2ce4ac609f	f	7	a2fa40ff-c976-45a6-8735-430c2802d5cd	726
3edd4fed-576c-4a6e-994c-e5701843e198	t	6	c36ca437-a22e-4e7b-9b15-78553a517b23	\N
00a5931e-c9be-4f6d-847f-31f5b9d8e4ff	t	6	85b7c75d-cdb7-4717-bd51-1ae8b2cbfabe	\N
a85b64d9-5902-4a05-b7d3-db7ea34b089d	t	6	906bfe24-c5e6-4e78-a292-ae74c06402ef	\N
0f0a154e-f964-438e-8e14-25e080e282b4	t	3	793a2db5-f637-4680-860a-15d3151ac367	\N
74b2e657-daf3-4e0d-b5dd-725dfe6afcd6	t	6	e7681e40-46d4-4f8a-aed6-ee2407e54394	\N
b15b5f35-b2ee-474d-8a22-bce5f82f1a9a	t	7	91c5c38b-1198-456f-b16f-a6c59d47a401	\N
12103755-e251-4d05-b225-bf15178020e5	f	6	e0b6a4fc-786a-4384-9040-692535f49769	\N
d4247472-51ed-4756-bae9-1d1a58e2bdcf	f	7	9cb2951e-4a20-4809-9f43-144d31ea9240	\N
2597e723-9f7e-4601-ba65-dfe3593b7881	t	7	1bca0c5a-62d6-4729-b037-9cd5d26c6170	\N
ccc360fe-b38a-4705-acde-3147bf7308c0	f	7	e943bb0e-ee28-4fed-9c77-c4cac561d766	\N
\.


--
-- Data for Name: workflow_log; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.workflow_log (workflow_log_id) FROM stdin;
\.


--
-- Name: hibernate_sequence; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.hibernate_sequence', 39284, true);


--
-- Name: meta_application_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.meta_application_id_seq', 2510, true);


--
-- Name: meta_identification_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.meta_identification_id_seq', 2510, true);


--
-- Name: meta_operation_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.meta_operation_id_seq', 2510, true);


--
-- Name: meta_parameter_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.meta_parameter_id_seq', 2510, true);


--
-- Name: meta_source_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.meta_source_id_seq', 2510, true);


--
-- Name: meta_technique_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.meta_technique_id_seq', 2510, true);


--
-- Name: model_app_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.model_app_id_seq', 1, false);


--
-- Name: workflow_id_seq; Type: SEQUENCE SET; Schema: public; Owner: onesis
--

SELECT pg_catalog.setval('public.workflow_id_seq', 1, false);


--
-- Name: aoi_link_datalist aoi_link_datalist_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.aoi_link_datalist
    ADD CONSTRAINT aoi_link_datalist_pkey PRIMARY KEY (aoi_aoi_id, link_datalist_id);


--
-- Name: aoi aoi_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.aoi
    ADD CONSTRAINT aoi_pkey PRIMARY KEY (aoi_id);


--
-- Name: basic_log basic_log_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.basic_log
    ADD CONSTRAINT basic_log_pkey PRIMARY KEY (basic_log_id);


--
-- Name: case_reasoning_log case_reasoning_log_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.case_reasoning_log
    ADD CONSTRAINT case_reasoning_log_pkey PRIMARY KEY (case_reasoning_log_id);


--
-- Name: category_functional category_functional_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.category_functional
    ADD CONSTRAINT category_functional_pkey PRIMARY KEY (id);


--
-- Name: common_log common_log_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.common_log
    ADD CONSTRAINT common_log_pkey PRIMARY KEY (common_log_id);


--
-- Name: data_semantic data_semantic_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.data_semantic
    ADD CONSTRAINT data_semantic_pkey PRIMARY KEY (id);


--
-- Name: date_category_link_datalist date_category_link_datalist_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.date_category_link_datalist
    ADD CONSTRAINT date_category_link_datalist_pkey PRIMARY KEY (date_category_data_category_id, link_datalist_id);


--
-- Name: date_category date_category_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.date_category
    ADD CONSTRAINT date_category_pkey PRIMARY KEY (data_category_id);


--
-- Name: dependency dependency_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.dependency
    ADD CONSTRAINT dependency_pkey PRIMARY KEY (id);


--
-- Name: integrated_software integrated_software_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.integrated_software
    ADD CONSTRAINT integrated_software_pkey PRIMARY KEY (id);


--
-- Name: link_data link_data_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.link_data
    ADD CONSTRAINT link_data_pkey PRIMARY KEY (id);


--
-- Name: link_models link_models_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.link_models
    ADD CONSTRAINT link_models_pkey PRIMARY KEY (id);


--
-- Name: map_layer map_layer_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.map_layer
    ADD CONSTRAINT map_layer_pkey PRIMARY KEY (id);


--
-- Name: map_service map_service_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.map_service
    ADD CONSTRAINT map_service_pkey PRIMARY KEY (id);


--
-- Name: meta_application meta_application_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_application
    ADD CONSTRAINT meta_application_pkey PRIMARY KEY (id);


--
-- Name: meta_identification meta_identification_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_identification
    ADD CONSTRAINT meta_identification_pkey PRIMARY KEY (id);


--
-- Name: meta_operation meta_operation_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_operation
    ADD CONSTRAINT meta_operation_pkey PRIMARY KEY (id);


--
-- Name: meta_parameter meta_parameter_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter
    ADD CONSTRAINT meta_parameter_pkey PRIMARY KEY (id);


--
-- Name: meta_source meta_source_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_source
    ADD CONSTRAINT meta_source_pkey PRIMARY KEY (id);


--
-- Name: meta_technique meta_technique_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_technique
    ADD CONSTRAINT meta_technique_pkey PRIMARY KEY (id);


--
-- Name: model_app model_app_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_app
    ADD CONSTRAINT model_app_pkey PRIMARY KEY (id);


--
-- Name: model_collect model_collect_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_collect
    ADD CONSTRAINT model_collect_pkey PRIMARY KEY (id);


--
-- Name: model_index model_index_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT model_index_pkey PRIMARY KEY (model_id);


--
-- Name: model_run_param model_run_param_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_run_param
    ADD CONSTRAINT model_run_param_pkey PRIMARY KEY (id);


--
-- Name: modeling_log modeling_log_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_log
    ADD CONSTRAINT modeling_log_pkey PRIMARY KEY (id);


--
-- Name: modeling_project modeling_project_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project
    ADD CONSTRAINT modeling_project_pkey PRIMARY KEY (modeling_project_id);


--
-- Name: parameter_group parameter_group_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_group
    ADD CONSTRAINT parameter_group_pkey PRIMARY KEY (id);


--
-- Name: parameter_group_relation parameter_group_relation_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_group_relation
    ADD CONSTRAINT parameter_group_relation_pkey PRIMARY KEY (id);


--
-- Name: parameter parameter_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter
    ADD CONSTRAINT parameter_pkey PRIMARY KEY (id);


--
-- Name: parameter_switch parameter_switch_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_switch
    ADD CONSTRAINT parameter_switch_pkey PRIMARY KEY (id);


--
-- Name: specification specification_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.specification
    ADD CONSTRAINT specification_pkey PRIMARY KEY (id);


--
-- Name: task task_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.task
    ADD CONSTRAINT task_pkey PRIMARY KEY (id);


--
-- Name: meta_parameter_parameters uk_1tidke3oixu8tfvtnyevjsauf; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_parameters
    ADD CONSTRAINT uk_1tidke3oixu8tfvtnyevjsauf UNIQUE (parameters_id);


--
-- Name: task_model_run_params uk_2atnda7iocy1t6peyjsyparj2; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.task_model_run_params
    ADD CONSTRAINT uk_2atnda7iocy1t6peyjsyparj2 UNIQUE (model_run_params_id);


--
-- Name: modeling_project_modeling_logs uk_751x4uj4u51m36w5g50rw89lq; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project_modeling_logs
    ADD CONSTRAINT uk_751x4uj4u51m36w5g50rw89lq UNIQUE (modeling_logs_id);


--
-- Name: date_category_link_datalist uk_90iafh04jpd0nmdbpf7mh1vio; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.date_category_link_datalist
    ADD CONSTRAINT uk_90iafh04jpd0nmdbpf7mh1vio UNIQUE (link_datalist_id);


--
-- Name: parameter_parameter_switches uk_idbjyp0euh6ga3xi9iprd3ytq; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_parameter_switches
    ADD CONSTRAINT uk_idbjyp0euh6ga3xi9iprd3ytq UNIQUE (parameter_switches_id);


--
-- Name: meta_parameter_group_relations uk_ivv8k4vq1ri5w6yli84e25em2; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_group_relations
    ADD CONSTRAINT uk_ivv8k4vq1ri5w6yli84e25em2 UNIQUE (group_relations_id);


--
-- Name: meta_source_integrated_softwares uk_k3oxa1bvkjggfu9qyhjkdb8vh; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_source_integrated_softwares
    ADD CONSTRAINT uk_k3oxa1bvkjggfu9qyhjkdb8vh UNIQUE (integrated_softwares_id);


--
-- Name: meta_parameter_groups uk_ngu4ir9xx85kb55f1qnkmocfe; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_groups
    ADD CONSTRAINT uk_ngu4ir9xx85kb55f1qnkmocfe UNIQUE (groups_id);


--
-- Name: aoi_link_datalist uk_q3cdj771o8deqp0vv93ircfxp; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.aoi_link_datalist
    ADD CONSTRAINT uk_q3cdj771o8deqp0vv93ircfxp UNIQUE (link_datalist_id);


--
-- Name: meta_technique_dependencies uk_qmnaa2yy27xrdf032kcwe2f1n; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_technique_dependencies
    ADD CONSTRAINT uk_qmnaa2yy27xrdf032kcwe2f1n UNIQUE (dependencies_id);


--
-- Name: user_info user_info_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.user_info
    ADD CONSTRAINT user_info_pkey PRIMARY KEY (id);


--
-- Name: user_project user_project_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.user_project
    ADD CONSTRAINT user_project_pkey PRIMARY KEY (id);


--
-- Name: workflow_log workflow_log_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.workflow_log
    ADD CONSTRAINT workflow_log_pkey PRIMARY KEY (workflow_log_id);


--
-- Name: workflow workflow_pkey; Type: CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.workflow
    ADD CONSTRAINT workflow_pkey PRIMARY KEY (id);


--
-- Name: task_model_run_params fk106nb23wms7rhtoh632eok6el; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.task_model_run_params
    ADD CONSTRAINT fk106nb23wms7rhtoh632eok6el FOREIGN KEY (task_id) REFERENCES public.task(id);


--
-- Name: meta_technique_dependencies fk1tfb8a6mflomvt7has2soeom4; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_technique_dependencies
    ADD CONSTRAINT fk1tfb8a6mflomvt7has2soeom4 FOREIGN KEY (dependencies_id) REFERENCES public.dependency(id);


--
-- Name: parameter_switch_arg_value_examples fk2er55waq896t27ksqyreaaycv; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_switch_arg_value_examples
    ADD CONSTRAINT fk2er55waq896t27ksqyreaaycv FOREIGN KEY (parameter_switch_id) REFERENCES public.parameter_switch(id);


--
-- Name: link_models_alternative fk2g32uvkf5uf1uikxypokvgyak; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.link_models_alternative
    ADD CONSTRAINT fk2g32uvkf5uf1uikxypokvgyak FOREIGN KEY (link_models_id) REFERENCES public.link_models(id);


--
-- Name: user_project fk3f5jt7180i87hrdfm66bro6rd; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.user_project
    ADD CONSTRAINT fk3f5jt7180i87hrdfm66bro6rd FOREIGN KEY (user_id) REFERENCES public.user_info(id);


--
-- Name: modeling_log fk427bq56aqukyyoda1pl8y7obd; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_log
    ADD CONSTRAINT fk427bq56aqukyyoda1pl8y7obd FOREIGN KEY (modeling_project_id) REFERENCES public.modeling_project(modeling_project_id);


--
-- Name: parameter_parameter_switches fk43ih6u5qigwxykllgnvin7b2k; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_parameter_switches
    ADD CONSTRAINT fk43ih6u5qigwxykllgnvin7b2k FOREIGN KEY (parameter_switches_id) REFERENCES public.parameter_switch(id);


--
-- Name: parameter_parameter_switches fk4ofapckega10myewg1b58tuow; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter_parameter_switches
    ADD CONSTRAINT fk4ofapckega10myewg1b58tuow FOREIGN KEY (parameter_id) REFERENCES public.parameter(id);


--
-- Name: output_display fk645b9tadfs704f0f5a5whpaxx; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.output_display
    ADD CONSTRAINT fk645b9tadfs704f0f5a5whpaxx FOREIGN KEY (meta_operation_id) REFERENCES public.meta_operation(id);


--
-- Name: category_data fk6ioskympd1nfqw645f33qtvkp; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.category_data
    ADD CONSTRAINT fk6ioskympd1nfqw645f33qtvkp FOREIGN KEY (meta_identification_id) REFERENCES public.meta_identification(id);


--
-- Name: meta_identification_docker_run_prefix fk6qjipl753te0h74cx1dba751j; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_identification_docker_run_prefix
    ADD CONSTRAINT fk6qjipl753te0h74cx1dba751j FOREIGN KEY (meta_identification_id) REFERENCES public.meta_identification(id);


--
-- Name: model_index fk786h6m2jcnighbsjlnrcvqa7s; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fk786h6m2jcnighbsjlnrcvqa7s FOREIGN KEY (technique_id) REFERENCES public.meta_technique(id);


--
-- Name: aoi_link_datalist fk7gbucowd89f2f1tda6w8ud9ro; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.aoi_link_datalist
    ADD CONSTRAINT fk7gbucowd89f2f1tda6w8ud9ro FOREIGN KEY (link_datalist_id) REFERENCES public.link_data(id);


--
-- Name: category_functional fk7gymj45vkwpj54ohqah142s48; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.category_functional
    ADD CONSTRAINT fk7gymj45vkwpj54ohqah142s48 FOREIGN KEY (parent_category_id) REFERENCES public.category_functional(id);


--
-- Name: model_index fk7rjbq2fcl1iwnd7axoxaf4wmm; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fk7rjbq2fcl1iwnd7axoxaf4wmm FOREIGN KEY (source_id) REFERENCES public.meta_source(id);


--
-- Name: task_model_run_params fk89iki2xk18t1h7ettoiwkxarn; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.task_model_run_params
    ADD CONSTRAINT fk89iki2xk18t1h7ettoiwkxarn FOREIGN KEY (model_run_params_id) REFERENCES public.model_run_param(id);


--
-- Name: exec_example fk8d1svm8j2u039cyfgdh0x8u4t; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.exec_example
    ADD CONSTRAINT fk8d1svm8j2u039cyfgdh0x8u4t FOREIGN KEY (meta_operation_id) REFERENCES public.meta_operation(id);


--
-- Name: link_data fk8exuykpq1so9hige5dymbixi9; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.link_data
    ADD CONSTRAINT fk8exuykpq1so9hige5dymbixi9 FOREIGN KEY (aoi_id) REFERENCES public.aoi(aoi_id);


--
-- Name: model_index fk8my7iaeqifuey4u3r9vfhtif7; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fk8my7iaeqifuey4u3r9vfhtif7 FOREIGN KEY (parameter_info_id) REFERENCES public.meta_parameter(id);


--
-- Name: application_dimension fk9epntw5a9cphxh15wdiwa9hte; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.application_dimension
    ADD CONSTRAINT fk9epntw5a9cphxh15wdiwa9hte FOREIGN KEY (meta_application_id) REFERENCES public.meta_application(id);


--
-- Name: modeling_project fk9mxf9qrg234okovc3cueb1ktr; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project
    ADD CONSTRAINT fk9mxf9qrg234okovc3cueb1ktr FOREIGN KEY (model_app_id) REFERENCES public.model_app(id);


--
-- Name: link_models_preorder fka4b4nirfytdxnbhq5kciioywn; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.link_models_preorder
    ADD CONSTRAINT fka4b4nirfytdxnbhq5kciioywn FOREIGN KEY (link_models_id) REFERENCES public.link_models(id);


--
-- Name: parameter fkas7wfsgc7h7ufgy5py8yqy563; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.parameter
    ADD CONSTRAINT fkas7wfsgc7h7ufgy5py8yqy563 FOREIGN KEY (specification_id) REFERENCES public.specification(id);


--
-- Name: meta_technique_dependencies fkausuik895ha48vsar2lp52lvl; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_technique_dependencies
    ADD CONSTRAINT fkausuik895ha48vsar2lp52lvl FOREIGN KEY (meta_technique_id) REFERENCES public.meta_technique(id);


--
-- Name: meta_parameter_groups fkb21rkrom8ln5vgs2b9eifi1rx; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_groups
    ADD CONSTRAINT fkb21rkrom8ln5vgs2b9eifi1rx FOREIGN KEY (groups_id) REFERENCES public.parameter_group(id);


--
-- Name: meta_application fkbe6fk7ujyhon7d5fphhmhr6dv; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_application
    ADD CONSTRAINT fkbe6fk7ujyhon7d5fphhmhr6dv FOREIGN KEY (link_models_id) REFERENCES public.link_models(id);


--
-- Name: meta_source_integrated_softwares fkcefxbipm42tea0fxate4ccrgu; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_source_integrated_softwares
    ADD CONSTRAINT fkcefxbipm42tea0fxate4ccrgu FOREIGN KEY (meta_source_id) REFERENCES public.meta_source(id);


--
-- Name: source_references fkcupptw747sns0rykqyf0nhhfb; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.source_references
    ADD CONSTRAINT fkcupptw747sns0rykqyf0nhhfb FOREIGN KEY (meta_source_id) REFERENCES public.meta_source(id);


--
-- Name: model_index fkdf9urmal2vly38f7t597ufta8; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fkdf9urmal2vly38f7t597ufta8 FOREIGN KEY (user_id) REFERENCES public.user_info(id);


--
-- Name: application_spatial_reference fkdkxqnargkyjw68mi8xvjmpd5f; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.application_spatial_reference
    ADD CONSTRAINT fkdkxqnargkyjw68mi8xvjmpd5f FOREIGN KEY (meta_application_id) REFERENCES public.meta_application(id);


--
-- Name: meta_parameter_group_relations fkdlfg442fg951guxtma72r1osb; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_group_relations
    ADD CONSTRAINT fkdlfg442fg951guxtma72r1osb FOREIGN KEY (meta_parameter_id) REFERENCES public.meta_parameter(id);


--
-- Name: model_app fkdpk1y7mq1gsv0hxqkulp27y43; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_app
    ADD CONSTRAINT fkdpk1y7mq1gsv0hxqkulp27y43 FOREIGN KEY (ml_modeling_project_id) REFERENCES public.modeling_project(modeling_project_id);


--
-- Name: meta_parameter_parameters fkeks71k72wjfjgpvrtxyfcebld; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_parameters
    ADD CONSTRAINT fkeks71k72wjfjgpvrtxyfcebld FOREIGN KEY (meta_parameter_id) REFERENCES public.meta_parameter(id);


--
-- Name: meta_parameter_groups fkenpve33apsknw2x8oea6p9yxp; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_groups
    ADD CONSTRAINT fkenpve33apsknw2x8oea6p9yxp FOREIGN KEY (meta_parameter_id) REFERENCES public.meta_parameter(id);


--
-- Name: modeling_project fkeowm3w1oldglq51mxyn493l8c; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project
    ADD CONSTRAINT fkeowm3w1oldglq51mxyn493l8c FOREIGN KEY (basic_log_basic_log_id) REFERENCES public.basic_log(basic_log_id);


--
-- Name: aoi_link_datalist fkf19jajslnyf7e7og9iaeeng60; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.aoi_link_datalist
    ADD CONSTRAINT fkf19jajslnyf7e7og9iaeeng60 FOREIGN KEY (aoi_aoi_id) REFERENCES public.aoi(aoi_id);


--
-- Name: model_app fkf4201nsmag4n32d3r0v15g0d5; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_app
    ADD CONSTRAINT fkf4201nsmag4n32d3r0v15g0d5 FOREIGN KEY (ml_modeling_id) REFERENCES public.modeling_project(modeling_project_id);


--
-- Name: application_timestep fkh4guohtq61j0uflbbgpt6x2ta; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.application_timestep
    ADD CONSTRAINT fkh4guohtq61j0uflbbgpt6x2ta FOREIGN KEY (meta_application_id) REFERENCES public.meta_application(id);


--
-- Name: model_index fkhkbrkpij363ma4otsoxbk382p; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fkhkbrkpij363ma4otsoxbk382p FOREIGN KEY (category_id) REFERENCES public.category_functional(id);


--
-- Name: modeling_project_modeling_logs fkhq8miktor96miq5g2bbnlx7oi; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project_modeling_logs
    ADD CONSTRAINT fkhq8miktor96miq5g2bbnlx7oi FOREIGN KEY (modeling_project_modeling_project_id) REFERENCES public.modeling_project(modeling_project_id);


--
-- Name: modeling_project fki13h2lntsurp7fb47he94uay5; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project
    ADD CONSTRAINT fki13h2lntsurp7fb47he94uay5 FOREIGN KEY (case_reasoning_log_case_reasoning_log_id) REFERENCES public.case_reasoning_log(case_reasoning_log_id);


--
-- Name: model_index fkj8oy5y2a9hp52ar1gpm54l79s; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fkj8oy5y2a9hp52ar1gpm54l79s FOREIGN KEY (operation_id) REFERENCES public.meta_operation(id);


--
-- Name: meta_parameter_group_relations fkjqh96q8qtu73sfhf1qc97wqj1; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_group_relations
    ADD CONSTRAINT fkjqh96q8qtu73sfhf1qc97wqj1 FOREIGN KEY (group_relations_id) REFERENCES public.parameter_group_relation(id);


--
-- Name: meta_parameter_parameters fkkjp5i2o4gdxeiwyt3t2nhmais; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_parameter_parameters
    ADD CONSTRAINT fkkjp5i2o4gdxeiwyt3t2nhmais FOREIGN KEY (parameters_id) REFERENCES public.parameter(id);


--
-- Name: model_collect fkkxo1wcvuut9bwmc1phrpx9r67; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_collect
    ADD CONSTRAINT fkkxo1wcvuut9bwmc1phrpx9r67 FOREIGN KEY (user_id) REFERENCES public.user_info(id);


--
-- Name: model_index fkl6t8eqcji1otnebrgtn0bcvrv; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fkl6t8eqcji1otnebrgtn0bcvrv FOREIGN KEY (application_id) REFERENCES public.meta_application(id);


--
-- Name: link_data fklf0l161r6llrdq0c4kfl8d2mm; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.link_data
    ADD CONSTRAINT fklf0l161r6llrdq0c4kfl8d2mm FOREIGN KEY (data_category_id) REFERENCES public.date_category(data_category_id);


--
-- Name: model_index fklmvwrof7hvsit95ucv476w6gq; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_index
    ADD CONSTRAINT fklmvwrof7hvsit95ucv476w6gq FOREIGN KEY (identification_id) REFERENCES public.meta_identification(id);


--
-- Name: application_spatial_resolution fklvcr95m1ubjmb4d9hlqv8u4it; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.application_spatial_resolution
    ADD CONSTRAINT fklvcr95m1ubjmb4d9hlqv8u4it FOREIGN KEY (meta_application_id) REFERENCES public.meta_application(id);


--
-- Name: modeling_project fkmi0g3fxf9u53uq3388jj0sdli; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project
    ADD CONSTRAINT fkmi0g3fxf9u53uq3388jj0sdli FOREIGN KEY (common_log_common_log_id) REFERENCES public.common_log(common_log_id);


--
-- Name: model_app_start_node fkmvlt8ug21fpc4artgn6aeh9c6; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.model_app_start_node
    ADD CONSTRAINT fkmvlt8ug21fpc4artgn6aeh9c6 FOREIGN KEY (model_app_id) REFERENCES public.model_app(id);


--
-- Name: workflow fkmy6iip5bu361xvjkhpctpgs32; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.workflow
    ADD CONSTRAINT fkmy6iip5bu361xvjkhpctpgs32 FOREIGN KEY (model_app_id) REFERENCES public.model_app(id);


--
-- Name: modeling_project fkn61dd2a36pnanqnrgqiou673r; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project
    ADD CONSTRAINT fkn61dd2a36pnanqnrgqiou673r FOREIGN KEY (workflow_log_workflow_log_id) REFERENCES public.workflow_log(workflow_log_id);


--
-- Name: date_category_link_datalist fkoqds6eti2h13pk2q4nau5mevf; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.date_category_link_datalist
    ADD CONSTRAINT fkoqds6eti2h13pk2q4nau5mevf FOREIGN KEY (link_datalist_id) REFERENCES public.link_data(id);


--
-- Name: keywords fkp9b23dv516skjum5rv2fufi00; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.keywords
    ADD CONSTRAINT fkp9b23dv516skjum5rv2fufi00 FOREIGN KEY (meta_identification_id) REFERENCES public.meta_identification(id);


--
-- Name: meta_source_integrated_softwares fkph0ocrfe4qin0qusycxjai48y; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.meta_source_integrated_softwares
    ADD CONSTRAINT fkph0ocrfe4qin0qusycxjai48y FOREIGN KEY (integrated_softwares_id) REFERENCES public.integrated_software(id);


--
-- Name: specification_param_examples fksy4m4vw1mqy169u9mgr7ihk5o; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.specification_param_examples
    ADD CONSTRAINT fksy4m4vw1mqy169u9mgr7ihk5o FOREIGN KEY (specification_id) REFERENCES public.specification(id);


--
-- Name: date_category_link_datalist fkt2xgrpgfflu40e449refx9fkf; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.date_category_link_datalist
    ADD CONSTRAINT fkt2xgrpgfflu40e449refx9fkf FOREIGN KEY (date_category_data_category_id) REFERENCES public.date_category(data_category_id);


--
-- Name: modeling_project_modeling_logs fkthxqo1d1fj5y7e33ne4jri730; Type: FK CONSTRAINT; Schema: public; Owner: onesis
--

ALTER TABLE ONLY public.modeling_project_modeling_logs
    ADD CONSTRAINT fkthxqo1d1fj5y7e33ne4jri730 FOREIGN KEY (modeling_logs_id) REFERENCES public.modeling_log(id);


--
--

