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Merged
arcursino merged 4 commits into from
Jul 2, 2026
Merged

feat: complete interactive wall of fame leaderboard (#5) #16

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718306e
feat: complete interactive wall of fame leaderboard (#5)
arcursino Jul 2, 2026
66acba1
fix: break down long HTML strings for flake8 compliance
arcursino Jul 2, 2026
f0af801
fix: break down long HTML strings for flake8 compliance
arcursino Jul 2, 2026
9c9a4da
style: format app.py using black
arcursino Jul 2, 2026
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156 changes: 154 additions & 2 deletions src/app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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(
"<div style='padding-top: 28px;'></div>",
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"""
<div style="text-align: center;">
<img src="{avatar}" style="
border-radius: 50%;
width: 85px;
height: 85px;
object-fit: cover;
border: 3px solid #38bdf8;
">
<h4 style="
margin-top: 10px;
margin-bottom: 5px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
">
#{index + 1} {row['author']}
</h4>
</div>
""",
unsafe_allow_html=True,
)
st.metric(
label=metric_choice, value=int(row["Volume"])
)
else:
st.info(
"✨ No active contributions match your selected "
"metrics timeframe filters."
)
else:
st.warning(
"⚠️ Baseline Pull Requests data telemetry is missing or empty."
)


# ---------------------------------------------------------
# 📈 TAB 3: TREND ANALYSIS & OPERATIONAL BOTTLENECKS
Expand Down
7 changes: 7 additions & 0 deletions src/github_client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,13 @@ def fetch_raw_repo_data(repo_name: str):
"closed_at": issue.closed_at,
"labels": [label.name for label in issue.labels],
"assignee": (issue.assignee.login if issue.assignee else None),
# Add these two new keys to track the real author details:
"author": (issue.user.login if issue.user else "Unknown"),
"avatar_url": (
issue.user.avatar_url
if issue.user
else "https://github.com"
),
}

if issue.pull_request:
Expand Down
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