Tutorial
In the following tutorial we will access the persistent database analysing raster and raster-time-series data. We will use the import and export features of actinia-specific process chains to process Sentinel-2A scenes with several GRASS GIS modules and export the result as GeoTiff files.
The following examples shows the REST service access using the command line tool curl^1. Curl should be available on many Linux systems. However, tools like postman^2 allow a more comfortable way to access actinia.
Using curl for HTTP requests
We will use the Unix shell and curl to access the REST API. First open a shell of choice (we use bash here) and setup the login information, the IP address and the port on which the actinia service is running, so you can simply change the IP and port if your server uses a different address:
export ACTINIA_URL=https://actinia.mundialis.de/latest
export AUTH='-u demouser:gu3st!pa55w0rd'
# other user credentials can be provided in the same way
Access to projects and mapsets in the persistent database
The following API call lists all available projects in the actinia
persistent database (the -i
includes the HTTP response headers):
curl ${AUTH} -X GET -i "${ACTINIA_URL}/projects"
The output should look similar to this:
{
"projects": [
"latlong_wgs84",
"ECAD",
"nc_spm_08"
],
"status": "success"
}
To show the region settings and the projection of the GRASS GIS standard project nc_spm_08 the following REST call must be used:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/nc_spm_08/info"
The JSON response is the standard response of the actinia REST API. Most API calls respond using this JSON structure. The difference between API calls is the result part that is located in the JSON section with the name process_results. The response includes all steps that were executed to receive the projection information and the region information. It is located in the process_log section of the JSON response. In addition API specific information as well as the processing time are available in the response. To make the JSON response more readable you can use parsing-tools like jq.
The output should look similar to this then:
{
"accept_datetime": "2019-08-01 20:30:05.717499",
"accept_timestamp": 1564691405.7174985,
"api_info": {
"endpoint": "projectmanagementresourceuser",
"method": "GET",
"path": "/api/v3/projects/nc_spm_08/info",
"request_url": "http://actinia.mundialis.de/api/v3/projects/nc_spm_08/info"
},
"datetime": "2019-08-01 20:30:05.881138",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"flags": "ug3",
"module": "g.region"
},
"2": {
"flags": "fw",
"module": "g.proj"
}
}
],
"process_log": [
{
"executable": "g.region",
"parameter": [
"-ug3"
],
"return_code": 0,
"run_time": 0.05028104782104492,
"stderr": [
""
],
"stdout": "projection=99\nzone=0\nn=221230\ns=219580\nw=637740\ne=639530\nt=1\nb=0\nnsres=1650\nnsres3=10\newres=1790\newres3=10\ntbres=1\nrows=1\nrows3=165\ncols=1\ncols3=179\ndepths=1\ncells=1\ncells3=29535\n"
},
{
"executable": "g.proj",
"parameter": [
"-fw"
],
"return_code": 0,
"run_time": 0.05027127265930176,
"stderr": [
""
],
"stdout": "PROJCS[\"NAD83(HARN) / North Carolina\",GEOGCS[\"NAD83(HARN)\",DATUM[\"NAD83_High_Accuracy_Reference_Network\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6152\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4152\"]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"standard_parallel_1\",36.16666666666666],PARAMETER[\"standard_parallel_2\",34.33333333333334],PARAMETER[\"latitude_of_origin\",33.75],PARAMETER[\"central_meridian\",-79],PARAMETER[\"false_easting\",609601.22],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"X\",EAST],AXIS[\"Y\",NORTH],AUTHORITY[\"EPSG\",\"3358\"]]\n"
}
],
"process_results": {
"projection": "PROJCS[\"NAD83(HARN) / North Carolina\",GEOGCS[\"NAD83(HARN)\",DATUM[\"NAD83_High_Accuracy_Reference_Network\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6152\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4152\"]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"standard_parallel_1\",36.16666666666666],PARAMETER[\"standard_parallel_2\",34.33333333333334],PARAMETER[\"latitude_of_origin\",33.75],PARAMETER[\"central_meridian\",-79],PARAMETER[\"false_easting\",609601.22],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"X\",EAST],AXIS[\"Y\",NORTH],AUTHORITY[\"EPSG\",\"3358\"]]\n",
"region": {
"b": 0.0,
"cells": 1,
"cells3": 29535,
"cols": 1,
"cols3": 179,
"depths": 1,
"e": 639530.0,
"ewres": 1790.0,
"ewres3": 10.0,
"n": 221230.0,
"nsres": 1650.0,
"nsres3": 10.0,
"projection": 99,
"rows": 1,
"rows3": 165,
"s": 219580.0,
"t": 1.0,
"tbres": 1.0,
"w": 637740.0,
"zone": 0
}
},
"progress": {
"num_of_steps": 2,
"step": 2
},
"resource_id": "resource_id-181a0936-9deb-481c-a1a6-6c9f46f97594",
"status": "finished",
"time_delta": 0.16365694999694824,
"timestamp": 1564691405.8811285,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-181a0936-9deb-481c-a1a6-6c9f46f97594"
},
"user_id": "demouser"
}
To list all mapsets located in the project nc_spm_08 the following API call is used:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/nc_spm_08/mapsets"
The response of this synchronous call lists all mapsets of the project in the process_results section:
{
"accept_datetime": "2019-08-01 20:31:11.325953",
"accept_timestamp": 1564691471.325952,
"api_info": {
"endpoint": "listmapsetsresource",
"method": "GET",
"path": "/api/v3/projects/nc_spm_08/mapsets",
"request_url": "http://actinia.mundialis.de/api/v3/projects/nc_spm_08/mapsets"
},
"datetime": "2019-08-01 20:31:11.430294",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"flags": "l",
"inputs": {
"separator": "newline"
},
"module": "g.mapsets"
}
}
],
"process_log": [
{
"executable": "g.mapsets",
"parameter": [
"separator=newline",
"-l"
],
"return_code": 0,
"run_time": 0.05030035972595215,
"stderr": [
"Available mapsets:",
""
],
"stdout": "PERMANENT\nlandsat\nnew_user_mapset\n"
}
],
"process_results": [
"PERMANENT",
"landsat",
"new_user_mapset"
],
"progress": {
"num_of_steps": 1,
"step": 1
},
"resource_id": "resource_id-8365e42b-8111-4026-abb0-df86677ff3b9",
"status": "finished",
"time_delta": 0.10437250137329102,
"timestamp": 1564691471.4302812,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-8365e42b-8111-4026-abb0-df86677ff3b9"
},
"user_id": "demouser"
}
Using the following API call will show all information about the mapset PERMANENT:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/nc_spm_08/mapsets/PERMANENT/info"
The response shows the region of the mapset and the projection of the project in the process_results section:
{
"accept_datetime": "2019-08-01 20:31:51.665042",
"accept_timestamp": 1564691511.6650407,
"api_info": {
"endpoint": "mapsetmanagementresourceuser",
"method": "GET",
"path": "/api/v3/projects/nc_spm_08/mapsets/PERMANENT/info",
"request_url": "http://actinia.mundialis.de/api/v3/projects/nc_spm_08/mapsets/PERMANENT/info"
},
"datetime": "2019-08-01 20:31:51.810266",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"flags": "ug3",
"module": "g.region"
},
"2": {
"flags": "fw",
"module": "g.proj"
}
}
],
"process_log": [
{
"executable": "g.region",
"parameter": [
"-ug3"
],
"return_code": 0,
"run_time": 0.05028796195983887,
"stderr": [
""
],
"stdout": "projection=99\nzone=0\nn=221230\ns=219580\nw=637740\ne=639530\nt=1\nb=0\nnsres=1650\nnsres3=10\newres=1790\newres3=10\ntbres=1\nrows=1\nrows3=165\ncols=1\ncols3=179\ndepths=1\ncells=1\ncells3=29535\n"
},
{
"executable": "g.proj",
"parameter": [
"-fw"
],
"return_code": 0,
"run_time": 0.05027055740356445,
"stderr": [
""
],
"stdout": "PROJCS[\"NAD83(HARN) / North Carolina\",GEOGCS[\"NAD83(HARN)\",DATUM[\"NAD83_High_Accuracy_Reference_Network\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6152\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4152\"]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"standard_parallel_1\",36.16666666666666],PARAMETER[\"standard_parallel_2\",34.33333333333334],PARAMETER[\"latitude_of_origin\",33.75],PARAMETER[\"central_meridian\",-79],PARAMETER[\"false_easting\",609601.22],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"X\",EAST],AXIS[\"Y\",NORTH],AUTHORITY[\"EPSG\",\"3358\"]]\n"
}
],
"process_results": {
"projection": "PROJCS[\"NAD83(HARN) / North Carolina\",GEOGCS[\"NAD83(HARN)\",DATUM[\"NAD83_High_Accuracy_Reference_Network\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6152\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4152\"]],PROJECTION[\"Lambert_Conformal_Conic_2SP\"],PARAMETER[\"standard_parallel_1\",36.16666666666666],PARAMETER[\"standard_parallel_2\",34.33333333333334],PARAMETER[\"latitude_of_origin\",33.75],PARAMETER[\"central_meridian\",-79],PARAMETER[\"false_easting\",609601.22],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"X\",EAST],AXIS[\"Y\",NORTH],AUTHORITY[\"EPSG\",\"3358\"]]\n",
"region": {
"b": 0.0,
"cells": 1,
"cells3": 29535,
"cols": 1,
"cols3": 179,
"depths": 1,
"e": 639530.0,
"ewres": 1790.0,
"ewres3": 10.0,
"n": 221230.0,
"nsres": 1650.0,
"nsres3": 10.0,
"projection": 99,
"rows": 1,
"rows3": 165,
"s": 219580.0,
"t": 1.0,
"tbres": 1.0,
"w": 637740.0,
"zone": 0
}
},
"progress": {
"num_of_steps": 2,
"step": 2
},
"resource_id": "resource_id-d949c5c7-9ab9-4ca9-afbf-6b91d7abec5a",
"status": "finished",
"time_delta": 0.14524579048156738,
"timestamp": 1564691511.8102555,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-d949c5c7-9ab9-4ca9-afbf-6b91d7abec5a"
},
"user_id": "demouser"
}
Access to raster layers in the persistent database
The project ECAD contains yearly climate data (precipitation and temperature) of Europe for 60 years. We list all raster layers of the project ECAD in mapset PERMANENT:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/ECAD/mapsets/PERMANENT/raster_layers"
The response lists all raster layers of the mapset in the process_results section:
{
"accept_datetime": "2018-05-30 09:13:51.627853",
"accept_timestamp": 1527671631.6278517,
"api_info": {
"endpoint": "rasterlayersresource",
"method": "GET",
"path": "/api/v3/projects/ECAD/mapsets/PERMANENT/raster_layers",
"request_url": "http://actinia.mundialis.de/api/v3/projects/ECAD/mapsets/PERMANENT/raster_layers"
},
"datetime": "2018-05-30 09:13:51.745702",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"inputs": {
"mapset": "PERMANENT",
"type": "raster"
},
"module": "g.list"
}
}
],
"process_log": [
{
"executable": "g.list",
"parameter": [
"mapset=PERMANENT",
"type=raster"
],
"return_code": 0,
"run_time": 0.05105090141296387,
"stderr": [
""
],
"stdout": "..."
}
],
"process_results": [
"precipitation_yearly_mm_0",
"precipitation_yearly_mm_1",
"...",
"precipitation_yearly_mm_61",
"precipitation_yearly_mm_62",
"temperature_mean_yearly_celsius_0",
"temperature_mean_yearly_celsius_1",
"...",
"temperature_mean_yearly_celsius_61",
"temperature_mean_yearly_celsius_62",
],
"progress": {
"num_of_steps": 1,
"step": 1
},
"resource_id": "resource_id-114c7229-da85-4866-a33e-38172835e05f",
"status": "finished",
"time_delta": 0.11787867546081543,
"timestamp": 1527671631.745685,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-114c7229-da85-4866-a33e-38172835e05f"
},
"user_id": "demouser"
}
Show info about the raster layer temperature_mean_yearly_celsius_60:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/ECAD/mapsets/PERMANENT/raster_layers/temperature_mean_yearly_celsius_60"
The response lists information about the raster layer temperature_mean_yearly_celsius_60 in the process_results section:
{
"accept_datetime": "2018-05-30 09:17:15.303480",
"accept_timestamp": 1527671835.3034775,
"api_info": {
"endpoint": "rasterlayerresource",
"method": "GET",
"path": "/api/v3/projects/ECAD/mapsets/PERMANENT/raster_layers/temperature_mean_yearly_celsius_60",
"request_url": "http://actinia.mundialis.de/api/v3/projects/ECAD/mapsets/PERMANENT/raster_layers/temperature_mean_yearly_celsius_60"
},
"datetime": "2018-05-30 09:17:15.437797",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"flags": "gre",
"inputs": {
"map": "temperature_mean_yearly_celsius_60@PERMANENT"
},
"module": "r.info"
}
}
],
"process_log": [
{
"executable": "r.info",
"parameter": [
"map=temperature_mean_yearly_celsius_60@PERMANENT",
"-gre"
],
"return_code": 0,
"run_time": 0.05033993721008301,
"stderr": [
""
],
"stdout": "..."
}
],
"process_results": {
"cells": "93264",
"cols": "464",
"comments": "\"r.in.gdal --overwrite input=\"temperature_mean_yearly_celsius_60.tif\"\\ output=\"temperature_mean_yearly_celsius_60\" memory=300 offset=0 num\\_digits=0\"",
"creator": "\"soeren\"",
"database": "/actinia/workspace/temp_db/gisdbase_db61f5f149474744ab31bbf86f49b5dc",
"datatype": "DCELL",
"date": "\"Fri Dec 29 15:58:10 2017\"",
"description": "\"generated by r.in.gdal\"",
"east": "75.5",
"ewres": "0.25",
"project": "ECAD",
"map": "temperature_mean_yearly_celsius_60",
"mapset": "PERMANENT",
"max": "29.406963562753",
"min": "-16.208384568171",
"ncats": "0",
"north": "75.5",
"nsres": "0.25",
"rows": "201",
"source1": "\"\"",
"source2": "\"\"",
"south": "25.25",
"timestamp": "\"1 Jan 2010 00:00:00 / 1 Jan 2011 00:00:00\"",
"title": "\"temperature_mean_yearly_celsius_60\"",
"units": "\"none\"",
"vdatum": "\"none\"",
"west": "-40.5"
},
"progress": {
"num_of_steps": 1,
"step": 1
},
"resource_id": "resource_id-7d4f36ba-3410-4281-b3e4-7b4aeff5f978",
"status": "finished",
"time_delta": 0.13434433937072754,
"timestamp": 1527671835.4377818,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-7d4f36ba-3410-4281-b3e4-7b4aeff5f978"
},
"user_id": "demouser"
}
Access to raster time-series in the persistent database
Actinia supports the analysis of time-series data based on the temporal framework of GRASS GIS^3, ^4. A time-series datatype is located in project ECAD with mapsets PERMANENT. The time-series datatype is called space-time raster dataset (strds) and represents a time-stamped series of yearly temperature and precipitation data for Europe.
We list all strds with the following API call:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/ECAD/mapsets/PERMANENT/strds"
We receive two strds in the process_results section of the JSON response:
{
"accept_datetime": "2018-05-30 09:18:16.737226",
"accept_timestamp": 1527671896.737225,
"api_info": {
"endpoint": "syncstrdslisterresource",
"method": "GET",
"path": "api/v3/projects/ECAD/mapsets/PERMANENT/strds",
"request_url": "http://actinia.mundialis.de/api/v3/projects/ECAD/mapsets/PERMANENT/strds"
},
"datetime": "2018-05-30 09:18:17.351918",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"inputs": {
"column": "name",
"type": "strds",
"where": "mapset='PERMANENT'"
},
"module": "t.list"
}
}
],
"process_log": [
{
"executable": "t.list",
"parameter": [
"type=strds",
"column=name",
"where=mapset='PERMANENT'"
],
"return_code": 0,
"run_time": 0.5758285522460938,
"stderr": [
"----------------------------------------------",
"Space time raster datasets with absolute time available in mapset <PERMANENT>:",
""
],
"stdout": "precipitation_1950_2013_yearly_mm\ntemperature_mean_1950_2013_yearly_celsius\n"
}
],
"process_results": [
"precipitation_1950_2013_yearly_mm",
"temperature_mean_1950_2013_yearly_celsius"
],
"progress": {
"num_of_steps": 1,
"step": 1
},
"resource_id": "resource_id-827f9272-9aa1-467e-8eba-def7003522e3",
"status": "finished",
"time_delta": 0.6147146224975586,
"timestamp": 1527671897.3519022,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-827f9272-9aa1-467e-8eba-def7003522e3"
},
"user_id": "demouser"
}
Use the following API call to receive information about the strds temperature_mean_1950_2013_yearly_celsius.
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/ECAD/mapsets/PERMANENT/strds/temperature_mean_1950_2013_yearly_celsius"
All relevant information about strds temperature_mean_1950_2013_yearly_celsius is located in the process_results section of the JSON response:
{
"accept_datetime": "2018-05-30 09:19:24.941032",
"accept_timestamp": 1527671964.9410288,
"api_info": {
"endpoint": "strdsmanagementresource",
"method": "GET",
"path": "/api/v3/projects/ECAD/mapsets/PERMANENT/strds/temperature_mean_1950_2013_yearly_celsius",
"request_url": "http://actinia.mundialis.de/api/v3/projects/ECAD/mapsets/PERMANENT/strds/temperature_mean_1950_2013_yearly_celsius"
},
"datetime": "2018-05-30 09:19:25.519419",
"http_code": 200,
"message": "Information gathering for STRDS <temperature_mean_1950_2013_yearly_celsius> successful",
"process_chain_list": [
{
"1": {
"flags": "g",
"inputs": {
"input": "temperature_mean_1950_2013_yearly_celsius",
"type": "strds"
},
"module": "t.info"
}
}
],
"process_log": [
{
"executable": "t.info",
"parameter": [
"type=strds",
"input=temperature_mean_1950_2013_yearly_celsius",
"-g"
],
"return_code": 0,
"run_time": 0.513615608215332,
"stderr": [
""
],
"stdout": "..."
}
],
"process_results": {
"aggregation_type": "None",
"bottom": "0.0",
"creation_time": "2017-12-29 15:58:06.446519",
"creator": "soeren",
"east": "75.5",
"end_time": "2013-01-01 00:00:00",
"ewres_max": "0.25",
"ewres_min": "0.25",
"granularity": "1 year",
"id": "temperature_mean_1950_2013_yearly_celsius@PERMANENT",
"map_time": "interval",
"mapset": "PERMANENT",
"max_max": "31.193529",
"max_min": "19.189924",
"min_max": "-6.724322",
"min_min": "-21.672401",
"modification_time": "2017-12-29 15:58:10.919466",
"name": "temperature_mean_1950_2013_yearly_celsius",
"north": "75.5",
"nsres_max": "0.25",
"nsres_min": "0.25",
"number_of_maps": "63",
"raster_register": "raster_map_register_522689142dfe42cbab0721934d66dac3",
"semantic_type": "mean",
"south": "25.25",
"start_time": "1950-01-01 00:00:00",
"temporal_type": "absolute",
"top": "0.0",
"west": "-40.5"
},
"progress": {
"num_of_steps": 1,
"step": 1
},
"resource_id": "resource_id-15acb503-5ef9-4a89-89df-3a1291811a5d",
"status": "finished",
"time_delta": 0.5784096717834473,
"timestamp": 1527671965.519405,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-15acb503-5ef9-4a89-89df-3a1291811a5d"
},
"user_id": "demouser"
}
List all raster layers that are registered in the strds temperature_mean_1950_2013_yearly_celsius with time-stamps:
curl ${AUTH} -X GET "${ACTINIA_URL}/projects/ECAD/mapsets/PERMANENT/strds/temperature_mean_1950_2013_yearly_celsius/raster_layers"
A list of about 60 raster layers with minimum, maximum values, time-stamps and spatial extent will be located in the process_results section of the JSON response:
{
"accept_datetime": "2018-05-30 09:20:30.633439",
"accept_timestamp": 1527672030.6334376,
"api_info": {
"endpoint": "strdsrastermanagement",
"method": "GET",
"path": "/api/v3/projects/ECAD/mapsets/PERMANENT/strds/temperature_mean_1950_2013_yearly_celsius/raster_layers",
"request_url": "http://actinia.mundialis.de/api/v3/projects/ECAD/mapsets/PERMANENT/strds/temperature_mean_1950_2013_yearly_celsius/raster_layers"
},
"datetime": "2018-05-30 09:20:31.197637",
"http_code": 200,
"message": "Processing successfully finished",
"process_chain_list": [
{
"1": {
"flags": "u",
"inputs": {
"columns": "id,start_time,end_time,north,south,east,west,min,max,rows,cols",
"input": "temperature_mean_1950_2013_yearly_celsius@PERMANENT",
"separator": "|"
},
"module": "t.rast.list",
"outputs": {
"output": {
"name": "/actinia/workspace/temp_db/gisdbase_ec60c0dd721947e38348f4a07e563b5e/.tmp/tmpah7edtxb"
}
}
}
}
],
"process_log": [
{
"executable": "t.rast.list",
"parameter": [
"input=temperature_mean_1950_2013_yearly_celsius@PERMANENT",
"columns=id,start_time,end_time,north,south,east,west,min,max,rows,cols",
"separator=|",
"output=/actinia/workspace/temp_db/gisdbase_ec60c0dd721947e38348f4a07e563b5e/.tmp/tmpah7edtxb",
"-u"
],
"return_code": 0,
"run_time": 0.5160176753997803,
"stderr": [
""
],
"stdout": ""
}
],
"process_results": [
{
"cols": "201",
"east": "75.5",
"end_time": "1951-01-01 00:00:00",
"id": "temperature_mean_yearly_celsius_0@PERMANENT",
"max": "20.893369",
"min": "-7.705292",
"north": "75.5",
"rows": "464",
"south": "25.25",
"start_time": "1950-01-01 00:00:00",
"west": "-40.5"
},
{
"..."
},
{
"cols": "201",
"east": "75.5",
"end_time": "2013-01-01 00:00:00",
"id": "temperature_mean_yearly_celsius_62@PERMANENT",
"max": "28.581454",
"min": "-18.443574",
"north": "75.5",
"rows": "464",
"south": "25.25",
"start_time": "2012-01-01 00:00:00",
"west": "-40.5"
}
],
"progress": {
"num_of_steps": 1,
"step": 1
},
"resource_id": "resource_id-3661533a-cb2b-4875-ac7a-be97a99e90da",
"status": "finished",
"time_delta": 0.5642266273498535,
"timestamp": 1527672031.1976202,
"urls": {
"resources": [],
"status": "http://actinia.mundialis.de/api/v3/resources/demouser/resource_id-3661533a-cb2b-4875-ac7a-be97a99e90da"
},
"user_id": "demouser"
}
Footnotes