add predefined optimal strategies in the comment

backend/app/routes/session_utils/save_trial.py

@@ -92,6 +92,15 @@ async def save_social_learning_selection(trials: List[Trial],
     sl_selection = trials[0]
     sl_trials = trials[1:]
 
+    # TODO: remove this after pilot 2B !!!
+    # ----------------- Relevant for pilot 2B -----------------
+    # sl_selection.id == 4 is the first social learning selection trial
+    if sl_selection.id == 4:
+        comment = "To be able to get to the arrows with 400 points you first need to take three arrows with -50 points."
+    else:
+        comment = "Follow three red arrows, then follow the highest points possible."
+    # ---------------------------------------------------------
+
     # remove instruction trial if it is in the list of social learning trials
     sl_trials = [t for t in sl_trials if t.trial_type != 'instruction']
 
@@ -119,7 +128,11 @@ async def save_social_learning_selection(trials: List[Trial],
             sl_trials[n * 3 + i].advisor = Advisor(
                 advisor_id=body.advisor_id,
                 solution=t.solution,
-                written_strategy=wr_s.strategy
+                # written_strategy=wr_s.strategy
+                # TODO: remove this after pilot 2B !!!
+                # ----------------- Relevant for pilot 2B -----------------
+                written_strategy=comment
+                # ---------------------------------------------------------
             )
             # assign advisor's network to the trial
             sl_trials[n * 3 + i].network = t.network