Update challenges/vqa/page.py

challenges/vqa/page.py

@@ -34,6 +34,57 @@ logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(
 
 
 
+def load_my_submissions(phase_filter: str, profile: gr.OAuthProfile | None):
+    if profile is None:
+        return pd.DataFrame(), "❌ Please log in to view your submissions.", ""
+    username = profile.username
+    submissions = _load_user_submissions(username)
+
+    if not submissions:
+        return pd.DataFrame(), "ℹ️ No submissions yet. Head to Submit Predictions to get started!", ""
+
+    all_submissions = submissions[:]
+    if phase_filter and phase_filter != "All":
+        submissions = [s for s in submissions if s["phase"] == phase_filter]
+    if not submissions:
+        return pd.DataFrame(), f"ℹ️ No submissions found for phase **{phase_filter}**.", ""
+
+    state_icons = {"queued": "🟡", "running": "🔵", "done": "🟢", "failed": "🔴", "unknown": "⚪"}
+    df = pd.DataFrame(submissions)
+    if "timestamp" in df.columns:
+        df["Submitted At"] = pd.to_datetime(
+            df["timestamp"], unit="s", errors="coerce"
+        ).dt.strftime("%d %b %Y, %I:%M %p")
+    if "state" in df.columns:
+        df["Status"] = df["state"].apply(lambda s: f"{state_icons.get(s, '⚪')} {s.capitalize()}")
+
+    display_cols = ["Submitted At", "Status", "team", "model", "phase", "challenge_type", "error"]
+    metric_cols  = [m for m in LEADERBOARD_METRICS if m in df.columns]
+    display_cols += metric_cols
+    df_display = df[[c for c in display_cols if c in df.columns]].copy()
+    df_display.rename(columns={
+        "team": "Team", "model": "Model", "phase": "Phase",
+        "challenge_type": "Challenge Type", "error": "Error",
+    }, inplace=True)
+    for m in metric_cols:
+        if m in df_display.columns:
+            df_display[m] = df_display[m].apply(lambda x: f"{x:.4f}" if pd.notna(x) else "")
+
+    total = len(all_submissions)
+    done  = sum(1 for s in all_submissions if s["state"] == "done")
+    today_count = sum(
+        1 for s in all_submissions
+        if datetime.fromtimestamp(s["timestamp"], tz=timezone.utc).strftime("%Y-%m-%d") == _today_utc_str()
+    )
+    stats = (
+        f"**Total:** {total}  |  "
+        f"**Scored:** {done}  |  "
+        f"**Today:** {today_count}/{DAILY_SUBMISSION_CAP}"
+    )
+    return df_display, "", stats
+
+
+
 
 def handle_submit(file, team, model_name, phase_label, challenge_type, profile: gr.OAuthProfile | None):
     if profile is None: