Feat: update cutculator

Author: ariedel-cern

PWGCF/Femto/Macros/cutculator.py

@@ -35,6 +35,21 @@ def parse_bin_label(label):
     return result
 
 
+def is_filter_histogram(bins):
+    """
+    Determine whether the parsed bins belong to a filter histogram (fixed,
+    non-selectable pre-filter values) rather than a selection/bitmask histogram.
+    Filter bins carry a "FilterName" key; selection bins carry "SelectionName".
+    """
+    for b in bins:
+        if "FilterName" in b:
+            return True
+        if "SelectionName" in b:
+            return False
+    # no parseable bins at all; treat as selection histogram (existing behavior)
+    return False
+
+
 def format_value_with_comment(b):
     """Return Value plus optional (comment=...) suffix."""
     val = b.get("Value", "")
@@ -44,6 +59,20 @@ def format_value_with_comment(b):
     return val
 
 
+def print_filter_values(bins):
+    """
+    Filters are fixed values already applied when the producer ran — there is
+    nothing to select. Just print each filter's name and value.
+    """
+    print("\n=======================================")
+    print("Filter values used in this histogram:")
+    print("=======================================\n")
+    for b in bins:
+        name = b.get("FilterName", "unknown")
+        value = b.get("FilterValue", "")
+        print(f"  {name}: {value}")
+
+
 def ask_user_selection(group):
     """
     Prompt user to select bin(s) for this selection group.
@@ -188,7 +217,8 @@ def main(rootfile_path, tdir_path="femto-producer"):
     print(f"\nUsing histogram: {hname}")
     print(f"Histogram contains {nbins} bins.\n")
 
-    # parse all bins, ignoring the last 2 special bins
+    # parse all bins, ignoring the last 2 special bins ("All analyzed"/"All passed",
+    # present on both selection and filter histograms)
     bins = []
     for i in range(1, nbins - 2 + 1):
         label = hist.GetXaxis().GetBinLabel(i)
@@ -198,6 +228,16 @@ def main(rootfile_path, tdir_path="femto-producer"):
         bdict["_bin_index"] = i
         bins.append(bdict)
 
+    if not bins:
+        print("No parseable bins found in this histogram.")
+        return
+
+    # filter histograms carry fixed, already-applied values — nothing to select,
+    # so just print them and skip the interactive/bitmask machinery entirely
+    if is_filter_histogram(bins):
+        print_filter_values(bins)
+        return
+
     # group by SelectionName
     groups = {}
     for b in bins: