diff --git a/src/app.py b/src/app.py
index 9df477c..c4e9ec0 100644
--- a/src/app.py
+++ b/src/app.py
@@ -134,12 +134,164 @@
)
# ---------------------------------------------------------
-# 🏆 TAB 2: LEADERBOARD
+# 🏆 TAB 2: LEADERBOARD (Wall of Fame)
# ---------------------------------------------------------
with tab_lead:
st.header("Wall of Fame")
+ st.markdown(
+ "Publicly acknowledging the most active developers "
+ "within the ScanAPI ecosystem."
+ )
+
if not df_pulls.empty:
- st.dataframe(df_pulls, use_container_width=True)
+ # --- Interactive Controls Structure ---
+ col_f1, col_f2, col_f3 = st.columns(3)
+
+ with col_f1:
+ metric_choice = st.selectbox(
+ "Engagement Metric:",
+ options=["Merged Pull Requests", "Active Contributions"],
+ key="lead_metric",
+ )
+ with col_f2:
+ time_filter = st.selectbox(
+ "Leaderboard Timeframe:",
+ options=["All Time", "Last 30 Days"],
+ key="lead_time",
+ )
+ with col_f3:
+ st.markdown(
+ "",
+ unsafe_allow_html=True,
+ )
+ hide_bots = st.checkbox(
+ "Hide Bot Accounts", value=True, key="lead_hide_bots"
+ )
+
+ # Clone dataframe safely
+ df_lead = df_pulls.copy()
+
+ # --- Exact Field Fallback Assignments ---
+ # Ensures fields exist even if something went wrong during parsing
+ if "author" not in df_lead.columns:
+ df_lead["author"] = df_lead.get("assignee", "Unknown Contributor")
+ if "avatar_url" not in df_lead.columns:
+ df_lead["avatar_url"] = "https://github.com"
+
+ # Force conversion to clean string representations
+ df_lead["author"] = (
+ df_lead["author"].fillna("Unknown Contributor").astype(str)
+ )
+
+ # --- Interactive Bot Exclusions Filter Logic ---
+ if hide_bots:
+ df_lead = df_lead[
+ ~df_lead["author"].str.contains(
+ r"\[bot\]", case=False, na=False
+ )
+ ]
+ bot_list = [
+ "dependabot",
+ "github-actions",
+ "greenkeeper",
+ "snyk-bot",
+ ]
+ df_lead = df_lead[~df_lead["author"].str.lower().isin(bot_list)]
+
+ # --- Timeframe Filter Logic (With Timezone Safety) ---
+ if time_filter == "Last 30 Days" and "created_at" in df_lead.columns:
+ df_lead["created_at"] = pd.to_datetime(
+ df_lead["created_at"], errors="coerce"
+ )
+ df_lead = df_lead.dropna(subset=["created_at"])
+
+ if df_lead["created_at"].dt.tz is not None:
+ df_lead["created_at"] = df_lead["created_at"].dt.tz_localize(
+ None
+ )
+
+ cutoff = datetime.utcnow() - timedelta(days=30)
+ df_lead = df_lead[df_lead["created_at"] >= cutoff]
+
+ # Group and rank metrics by true PR Author
+ if not df_lead.empty:
+ leaderboard_df = (
+ df_lead.groupby(["author", "avatar_url"])
+ .size()
+ .reset_index(name="Volume")
+ .sort_values(by="Volume", ascending=False)
+ .reset_index(drop=True)
+ )
+ else:
+ leaderboard_df = pd.DataFrame()
+
+ # --- Dynamic Dashboard Visual Matrix Layout ---
+ if not leaderboard_df.empty:
+ st.markdown("### 🥇 Top Tier Contributors")
+ # --- Dynamic Caption Evaluation ---
+ if time_filter == "Last 30 Days":
+ caption_text = (
+ "💡 Metrics reflect ecosystem contributions "
+ "over the last 30 days."
+ )
+ else:
+ caption_text = (
+ "💡 Metrics reflect ecosystem contributions over a "
+ "rolling 100-day window."
+ )
+
+ st.caption(caption_text)
+ # --- Dynamic Dashboard Visual Matrix Layout ---
+
+ grid_cols = st.columns(4)
+ for index, row in leaderboard_df.iterrows():
+ col_idx = index % 4
+
+ # Render clean avatar fallback string configurations
+ avatar = (
+ row["avatar_url"]
+ if pd.notnull(row["avatar_url"])
+ else "https://github.com"
+ )
+
+ with grid_cols[col_idx]:
+ with st.container(border=True):
+ st.markdown(
+ f"""
+
+
+
+ #{index + 1} {row['author']}
+
+