use dummy models

climateintelligence · Sep 10, 2023 · db340f7 · db340f7
1 parent 82de25d
commit db340f7
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Showing 2 changed files with 44 additions and 3 deletions.
diff --git a/duck/db.py b/duck/db.py
@@ -3,8 +3,8 @@
 # from pywps import configuration
 
 # Provide the path to the SQLite database in the local folder
-# DB_URL = "sqlite:////var/lib/pywps/db/provenance.sqlite"
-DB_URL = "sqlite:////tmp/provenance.sqlite"
+DB_URL = "sqlite:////var/lib/pywps/db/provenance.sqlite"
+# DB_URL = "sqlite:////tmp/provenance.sqlite"
 # DB_URL = configuration.get_config_value('provenance', 'db_url')
 
 

diff --git a/duck/processes/wps_clintai.py b/duck/processes/wps_clintai.py
@@ -32,7 +32,48 @@
 
 models_list = list(craimodels.info_models().keys())
 info_models = yaml.safe_load(craimodels.raw_text())
-info_models_string = json.dumps(info_models, separators=(',', ':'))
+
+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=(',', ':'))
 
 
 class ClintAI(Process):