Enhance Planning AI with Roadmap-First Architecture and New Features

- Introduced a roadmap-first approach for the planning AI, allowing for a structured progression graph that aligns with the overall project roadmap.
- Updated the `ExerciseProgressionPathBuilder` to include a roadmap preview and improved handling of focus areas and skills catalog.
- Added functionality to strip off-topic steps from the exercise path, enhancing the relevance of generated paths.
- Implemented a new method to build detailed goal texts for AI-generated exercises, improving clarity and context.
- Incremented application version to 0.8.205 and updated database schema version to 20260606086 to reflect these changes.

backend/tests/test_club_feature_logger.py

@@ -35,6 +35,9 @@ def test_log_club_feature_usage_json(monkeypatch):
 
 
 def test_probe_no_club_context_logs_without_db(monkeypatch):
+    # CI/Deploy kann CLUB_FEATURE_ENFORCE=1 setzen — Test prüft Probe-Modus (kein Hard-Block).
+    monkeypatch.delenv("CLUB_FEATURE_ENFORCE", raising=False)
+
     logged = []
 
     def _capture(**kwargs):