Migration to plugin template and add climpact functionality

In this merge request, w migrated the plugin to the plugin template and added Climpact functionality with the specified configuration. Please check the README for instructions on plug and testing the plugin. Let me know if you face any issues. Also, we should schedule a meeting to discuss the next steps on the statistical methods together.

But still there is a big room for developing here. Files organization don't look good to me which we need to take care of that.

One production test is located here. So it mean every time you push into the repository, you test the plugin on production as I did in the following link. But no worries, in the meeting I explain it in detail

https://ch1187.gitlab-pages.dkrz.de/-/plugins4freva/heat2urbanimpact/-/jobs/505029/artifacts/build/prod_test/index.html

Closes #1 (closed)

wrapper.py

@@ -8,7 +8,7 @@ Heat2UrbanImpact plugin API wrapper.
 
 ######################################################
 # import commonly used libraries. You can add/remove
-# libraries as needed
+# libraries as needed *test*
 ######################################################
 
 import json
@@ -37,7 +37,7 @@ class Heat2UrbanImpact(plugin.PluginAbstract):
     # Version of the Heat2UrbanImpact plugin (major, minor, patch) * Mandatory
     __version__ = (2024, 11, 0)
     # Short Description of the Heat2UrbanImpact plugin * Mandatory
-    __short_description__: str = "Barrier-free RCM data, representative for heat events, for urban impact models."
+    __short_description__: str = "Preprocessed time series of heat periods from RCM data for urban impact models."
     # Optional category this plugin belongs to
     __category__: Optional[str] = "Time Series"
     # Optional tags, that are the plugin can be described with and found by
@@ -96,7 +96,7 @@ class Heat2UrbanImpact(plugin.PluginAbstract):
         ),
         SolrField(
             name="models",
-            mandatory=True,
+            #mandatory=True,
             facet="model",
             multiple=True,
             max_items=100,