move simulation namelist parameters into separate dictionary

55ae099f · Florian Ziemen · 0529bc9d · 55ae099f · 55ae099f
Commit 55ae099f authored 2 months ago by Florian Ziemen
--- a/inputs/icon-xpp-enso.metadata
+++ b/inputs/icon-xpp-enso.metadata
--- a/processing/convert_dakuan_xlsx.ipynb
+++ b/processing/convert_dakuan_xlsx.ipynb
@@ -38,15 +38,20 @@
    "for name, row in df.iloc[4:].iterrows():\n",
    "    runs[name] = dict(always_add)\n",
    "    if name == defaults.name:\n",
-    "        runs[name] |= {k.lower(): v for k, v in row.items() if v}\n",
+    "        runs[name] |= dict(\n",
+    "            parameters={\n",
+    "                k.lower(): v for k, v in row.items() if v and k not in always_copy\n",
+    "            }\n",
+    "        )\n",
+    "    else:\n",
+    "        runs[name] |= dict(parameters=dict(defaults=defaults.name))\n",
    "    for k, v in row.items():\n",
    "        if k in always_copy:\n",
    "            if v:\n",
    "                runs[name][k.lower()] = v\n",
    "        else:\n",
    "            if v != defaults[k]:\n",
-    "                runs[name][k.lower()] = v\n",
-    "        runs[name][\"defaults\"] = defaults.name"
+    "                runs[name][\"parameters\"][k.lower()] = v"
   ]
  },
  {

 %% Cell type:code id: tags:

 ``` python
 import pandas as pd
 import yaml
 ```

 %% Cell type:code id: tags:

 ``` python
 df = pd.read_excel("../inputs/enso_tuning.xlsx", index_col=0)
 df.loc[df["Remark"].isna(), "Remark"] = ""
 ```

 %% Cell type:code id: tags:

 ``` python
 always_add = {
    "experiment": "coming decade - icon xpp enso tuning",
    "contact": "Dakuan Yu",
 }
 always_copy = ["Remark", "Resolution"]

 defaults = df.iloc[5]
 defaults
 runs = {}
 for name, row in df.iloc[4:].iterrows():
    runs[name] = dict(always_add)
    if name == defaults.name:
-        runs[name] |= {k.lower(): v for k, v in row.items() if v}
+        runs[name] |= dict(
+            parameters={
+                k.lower(): v for k, v in row.items() if v and k not in always_copy
+            }
+        )
+    else:
+        runs[name] |= dict(parameters=dict(defaults=defaults.name))
    for k, v in row.items():
        if k in always_copy:
            if v:
                runs[name][k.lower()] = v
        else:
            if v != defaults[k]:
-                runs[name][k.lower()] = v
-        runs[name]["defaults"] = defaults.name
+                runs[name]["parameters"][k.lower()] = v
 ```

 %% Cell type:code id: tags:

 ``` python
 with open("../inputs/icon-xpp-enso.metadata", "w") as mdf:
    yaml.dump(runs, mdf)
 ```