Tweaks to scoring

assets/templates/personal_results.md

@@ -1,9 +1,9 @@
 # {{ callsign }}
 
-## Total Score : {{ score }}
-
 {{ summary }}
 
+---
+
 ## Full log
 
 {{ logs }}

index.md

@@ -16,7 +16,7 @@ The Repeater Roundabout is a weekend-long event held on many of our local repeat
 
 Anyone with a ham radio license can participate ! You don't even have to be local; stations may participate over Echolink, Allstar, or IRLP if they are available.
 
-> This page was last updated on Tuesday November 07 at 10:13.
+> This page was last updated on Tuesday November 07 at 10:32.
 
 ---
 

scripts/score.py

@@ -105,14 +105,22 @@ def write_personal_results_md(logs: pd.DataFrame, summary: dict, callsign: str)
     logs = logs[["Group", "Contact", "Report", "Band", "QRP", "Club Connaisseur", "Band Hog"]]
     for col in ["QRP", "Club Connaisseur", "Band Hog"]:
         logs[col] = logs[col].apply(lambda x: "X" if x else "")
+
+    # Format the summary table
+    total_score = summary["Total Score"]
+    summary_df = pd.DataFrame(
+        index=summary.keys(),
+        data=summary.values(),
+        columns=[total_score],
+    ).drop("Total Score")
+    summary_df.index = summary_df.index.rename("Total Score")
 
     # Fill it in
     colalign = ["right", "left", "right", "center", "right", "center", "center", "center"]
     template = (
         template
         .replace("{{ callsign }}", f"[{callsign}](https://www.qrz.com/db/{callsign})")
-        .replace("{{ score }}", str(summary["Total Score"]))
-        .replace("{{ summary }}", pd.Series(summary).drop("Total Score").rename("").to_markdown())
+        .replace("{{ summary }}", summary_df.to_markdown())
         .replace("{{ logs }}", logs.to_markdown(colalign=colalign))
     )
 
@@ -248,6 +256,7 @@ def score_competition(repeaters: pd.DataFrame, logs_dir: str = "logs") -> Tuple[
         write_personal_results_md(logs, summary, callsign)
 
     # Save the contest scores
+    breakpoint()
     leaderboard = (
         pd.DataFrame(contest_scores)
         .T.sort_values(["Total Score", "Total Contacts"], ascending=False)