integrate IFS scores from Quaver into FastEvaluation (ecmwf#600)

* first insterface

* working version

* save json

* add omegaconf

* address comment and clean up interface

* add config

* update scoring class

* Fix to allow for channel-selection in get_data and efficiency improvement to plot_data.

* Avoid circulra dependency issues with to_list-function.

* Fix data selection issues.

* Enable proper handling of lists from omegaconf.

* update to mlangguth89 fork

* refactor forecast step

* ruffed

* add printing summary

* add ZarrData class

* adjust size of the plots

* attempt to solve sorting issue

* Rename model to run in config and in code.

* Fixes to Michael's review comments.

* Ruffed code.

* resync with mlangguth89 + add plot titles

* revert mixed

* remove plot config + style addition to evaluation package

* ruffed

* add option to comment out plotting

* resync utils to develop

---------

Co-authored-by: Michael <m.langguth@fz-juelich.de>

Author: iluise

packages/evaluate/src/weathergen/evaluate/plot_inference.py

@@ -59,6 +59,7 @@
     scores_dict = defaultdict(lambda: defaultdict(dict))
 
     for run_id, run in runs.items():
+
         plotter = Plotter(cfg, run_id)
         _logger.info(f"RUN {run_id}: Getting data...")
 
@@ -68,11 +69,12 @@
             _logger.info(f"RUN {run_id}: Processing stream {stream}...")
 
             stream_dict = run["streams"][stream]
+           
+            if stream_dict.get("plotting"):
+                _logger.info(f"RUN {run_id}: Plotting stream {stream}...")
+                plots = plot_data(cfg, run_id, stream, stream_dict)
 
-            _logger.info(f"RUN {run_id}: Plotting stream {stream}...")
-            plots = plot_data(cfg, run_id, stream, stream_dict)
-
-            if stream_dict.get("evaluation", None):
+            if stream_dict.get("evaluation"):
                 _logger.info(f"Retrieve or compute scores for {run_id} - {stream}...")
 
                 metrics_to_compute = []