Try again 2

dashboards/student_db.py

@@ -2,6 +2,9 @@ import os
 import streamlit as st
 from phase.Student_view import chatbot, lesson, quiz
 from utils import db as dbapi
+import utils.api as api  # <-- backend Space client
+
+USE_LOCAL_DB = os.getenv("DISABLE_DB", "1") != "1"
 
 # --- Load external CSS ---
 def load_css(file_name: str):
@@ -23,7 +26,15 @@ def show_student_dashboard():
 
     # --- Real metrics from DB ---
     # Requires helper funcs in utils/db.py: user_xp_and_level, recent_lessons_for_student, list_assignments_for_student
-    stats = dbapi.user_xp_and_level(student_id) if hasattr(dbapi, "user_xp_and_level") else {"xp": 0, "level": 1, "streak": 0}
+    if USE_LOCAL_DB and hasattr(dbapi, "user_xp_and_level"):
+        stats = dbapi.user_xp_and_level(student_id)
+    else:
+         # Try backend; fall back to defaults if not available yet
+        try:
+             stats = api.user_stats(student_id)
+        except Exception:
+             stats = {"xp": 0, "level": 1, "streak": 0}
+
     xp = int(stats.get("xp", 0))
     level = int(stats.get("level", 1))
     study_streak = int(stats.get("streak", 0))
@@ -32,7 +43,13 @@ def show_student_dashboard():
     max_xp = max(500, ((xp // 500) + 1) * 500)
 
     # Assignments for “My Work”
-    rows = dbapi.list_assignments_for_student(student_id) if hasattr(dbapi, "list_assignments_for_student") else []
+    if USE_LOCAL_DB and hasattr(dbapi, "list_assignments_for_student"):
+       rows = dbapi.list_assignments_for_student(student_id)
+    else:
+        try:
+           rows = api.list_assignments_for_student(student_id)
+        except Exception:
+            rows = []
 
     def _pct_from_row(r: dict):
         sp = r.get("score_pct")
@@ -49,12 +66,25 @@ def show_student_dashboard():
                 return None
         return None
 
-    quiz_score = dbapi.student_quiz_average(student_id) if hasattr(dbapi, "student_quiz_average") else 0
+    if USE_LOCAL_DB and hasattr(dbapi, "student_quiz_average"):
+        quiz_score = dbapi.student_quiz_average(student_id)
+    else:
+        try:
+            quiz_score = api.student_quiz_average(student_id)
+        except Exception:
+            quiz_score = 0
+
     lessons_completed = sum(1 for r in rows if r.get("status") == "completed" or _pct_from_row(r) == 100)
     total_lessons = len(rows)
 
     # Recent lessons assigned to this student
-    recent_lessons = dbapi.recent_lessons_for_student(student_id, limit=5) if hasattr(dbapi, "recent_lessons_for_student") else []
+    if USE_LOCAL_DB and hasattr(dbapi, "recent_lessons_for_student"):
+        recent_lessons = dbapi.recent_lessons_for_student(student_id, limit=5)
+    else:
+        try:
+            recent_lessons = api.recent_lessons_for_student(student_id, limit=5)
+        except Exception:
+            recent_lessons = []
 
     # Daily Challenge derived from real data
     challenge_difficulty = "Easy" if level < 3 else ("Medium" if level < 6 else "Hard")

utils/api.py

@@ -85,6 +85,17 @@ def health():
             return {"ok": True}
         except Exception:
             return {"ok": False}
+        
+#---helpers
+def user_stats(student_id: int):
+    return _req("GET", f"/students/{student_id}/stats").json()
+def list_assignments_for_student(student_id: int):
+    return _req("GET", f"/students/{student_id}/assignments").json()
+def student_quiz_average(student_id: int):
+    return _req("GET", f"/students/{student_id}/quiz_avg").json()
+def recent_lessons_for_student(student_id: int, limit: int = 5):
+    return _req("GET", f"/students/{student_id}/recent", params={"limit": limit}).json()
+
 
 # ---- Legacy agent endpoints (keep) ----
 def start_agent(student_id: int, lesson_id: int, level_slug: str):