Retrieve model info with metadata structure from craimodels

climateintelligence · Jan 23, 2024 · 8dc4f4e · 8dc4f4e
1 parent ffd0572
commit 8dc4f4e
Showing 1 changed file with 2 additions and 44 deletions.
diff --git a/duck/processes/wps_clintai.py b/duck/processes/wps_clintai.py
@@ -31,50 +31,8 @@
 INFO_ROLE = "https://clint.dkrz.de/spec/crai/info"
 
 models_list = list(craimodels.info_models().keys())
-info_models = yaml.safe_load(craimodels.raw_text())
-
-dummy_models = {
-    "HadCRUT4": [
-        {
-            "name": "dataset_name",
-            "value": "HadCRUT4",
-            "title": "HadCRUT4 Training dataset: 82133 samples of near surface temperature anomalies from the 20th century reanalysis dataset (https://psl.noaa.gov/data/20thC_Rean/) spanning the period 1870-2009. \nMask dataset: masks of missing values extracted from the HadCRUT4 dataset for the period 1850-2014."
-
-        },
-        {
-            "name": "file",
-            "value": "https://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/gridded_fields/HadCRUT.4.6.0.0.median_netcdf.zip",
-            "title": "Enter a URL to your HadCRUT4 netcdf file."
-        },
-        {
-            "name": "variable_name",
-            "value": "temperature_anomaly",
-            "title": "temperature_anomaly"
-        }
-    ],
-    "HadCRUT5": [
-        {
-            "name": "dataset_name",
-            "value": "HadCRUT5",
-            "title": "HadCRUT5 Training dataset: 82133 samples of near surface temperature anomalies from the 20th century reanalysis dataset (https://psl.noaa.gov/data/20thC_Rean/) spanning the period 1870-2009. \nMask dataset: masks of missing values extracted from the HadCRUT4 dataset for the period 1850-2014."
-
-        },
-        {
-            "name": "file",
-            "value": "https://www.metoffice.gov.uk/hadobs/hadcrut5/data/current/non-infilled/HadCRUT.5.0.1.0.anomalies.ensemble_mean.nc",
-            "title": "Enter a URL to your HadCRUT5 netcdf file."
-        },
-        {
-            "name": "variable_name",
-            "value": "tas_mean",
-            "title": "tas_mean"
-        }
-    ]
-}
-
-# info_models_string = json.dumps(info_models, separators=(',', ':'))
-info_models_string = json.dumps(dummy_models, separators=(',', ':'))
-
+info_models = yaml.safe_load(craimodels.metadata())
+info_models_string = json.dumps(info_models, separators=(',', ':'))
 
 class ClintAI(Process):
     def __init__(self):