feat: complete pragativeer v2 frontend and backend, docker setup, and cbt engine

backend/worker.py

@@ -0,0 +1,84 @@
+import os
+from datetime import datetime, timedelta
+from celery import Celery
+from celery.schedules import crontab
+from sqlmodel import Session, select
+import json
+
+from database import engine
+import models
+
+REDIS_URL = os.getenv("REDIS_URL", "redis://redis:6379/0")
+
+# Initialize Celery connected to our local Redis broker
+celery_app = Celery(
+    "pragativeer_tasks",
+    broker=REDIS_URL,
+    backend=REDIS_URL
+)
+
+# Configure timezone to IST for accurate 5:00 AM scheduling
+celery_app.conf.update(
+    timezone='Asia/Kolkata',
+    enable_utc=True,
+)
+
+@celery_app.task(name="generate_daily_study_plans", bind=True, default_retry_delay=60, max_retries=3)
+def generate_daily_study_plans(self):
+    """
+    Runs daily to evaluate students' weak areas and generate 
+    a personalized AI study plan for the day.
+    """
+    try:
+        with Session(engine) as session:
+            # Fetch all active users on the AI Coach tier
+            ai_students = session.exec(
+                select(models.User).where(models.User.tier == models.TierEnum.AI_COACH)
+            ).all()
+
+            today = datetime.utcnow().date()
+            plans_created = 0
+
+            for student in ai_students:
+                # 1. Fetch pending spaced repetition mistakes for today
+                pending_mistakes = session.exec(
+                    select(models.Mistake)
+                    .where(models.Mistake.user_id == student.id)
+                    .where(models.Mistake.is_mastered == False)
+                    .where(models.Mistake.next_review <= datetime.utcnow())
+                ).all()
+
+                # 2. Extract weak topics (for revision recommendation)
+                topics = [m.topic for m in pending_mistakes]
+                most_weak_topic = max(set(topics), key=topics.count) if topics else "Mixed Syllabus"
+
+                # 3. Construct the time-budgeted dynamic task list
+                tasks = [
+                    {"type": "Revision", "description": f"Revise {most_weak_topic}", "duration_minutes": 15, "status": "Pending"},
+                    {"type": "Mistake_Review", "description": "Daily Mistake Review Session", "duration_minutes": 10, "status": "Pending"},
+                    {"type": "DPS", "description": f"Attempt {most_weak_topic} Practice Sheet", "duration_minutes": 20, "status": "Pending"}
+                ]
+
+                # 4. Save to Database
+                new_plan = models.StudyPlan(
+                    user_id=student.id,
+                    date=today,
+                    tasks=tasks,
+                    is_completed=False
+                )
+                session.add(new_plan)
+                plans_created += 1
+                
+            session.commit()
+            return f"Successfully generated {plans_created} daily study plans."
+    except Exception as exc:
+        print(f"Database error during study plan generation: {exc}")
+        raise self.retry(exc=exc)
+
+# Schedule the tasks using Celery Beat
+celery_app.conf.beat_schedule = {
+    'generate-study-plans-every-morning': {
+        'task': 'generate_daily_study_plans',
+        'schedule': crontab(hour=5, minute=0), # 5:00 AM IST
+    },
+}