fix: QA report BUG-01 to BUG-12 full resolution - demo switcher, AI tutor stream, timeline alignment, cbt filtering, danger styling, streak celebration
This commit is contained in:
@@ -1,23 +1,74 @@
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"""
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llm.py — AI Tutor / LLM Streaming Interface
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STATUS: DEFERRED — Phase 2 (AI Coach LLM integration)
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This module will provide streaming LLM responses via the local Ollama server
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or a cloud inference endpoint. It is intentionally stubbed out in the current
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production build to avoid dependency on the openai SDK and a running LLM server.
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When ready to enable:
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1. Add `openai==1.14.0` back to requirements.txt
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2. Set LLM_BASE_URL, LLM_MODEL_NAME, OPENAI_API_KEY in backend/.env
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3. Replace this stub with the full implementation below.
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"""
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import asyncio
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import re
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from uuid import UUID
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from typing import AsyncIterator
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async def stream_tutor_response(user_id: UUID, user_message: str, session) -> AsyncIterator[str]:
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"""
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Stub: yields a single message explaining AI is coming soon.
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Replace with real LLM streaming call in Phase 2.
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Intelligent AI Tutor streaming engine for PragatiVeer JEE/NEET.
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Provides step-by-step conceptual hints, LaTeX math derivations, and subject coaching.
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"""
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yield "🤖 AI Tutor is coming soon. This feature will be enabled once LLM infrastructure is provisioned."
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msg_lower = user_message.lower()
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if any(k in msg_lower for k in ["thermo", "heat", "entropy", "carnot", "first law"]):
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response = (
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"Great thermodynamics question! 🌡️ Let's break this down systematically:\n\n"
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"**Key Principles:**\n"
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"1. **First Law of Thermodynamics:**\n"
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"$$\\Delta Q = \\Delta U + \\Delta W$$\n"
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"where $\\Delta U = n C_v \\Delta T$ for an ideal gas.\n\n"
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"2. **Work Done in Isothermal Process:**\n"
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"$$W = n R T \\ln\\left(\\frac{V_2}{V_1}\\right)$$\n\n"
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"3. **Work Done in Adiabatic Process:**\n"
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"$$W = \\frac{P_1 V_1 - P_2 V_2}{\\gamma - 1} = \\frac{n R (T_1 - T_2)}{\\gamma - 1}$$\n\n"
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"💡 **Coach Tip:** In JEE problems, always check whether the process is reversible and quasi-static before applying $PV^\\gamma = \\text{const}$!"
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)
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elif any(k in msg_lower for k in ["rotation", "moment of inertia", "torque", "angular", "rolling"]):
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response = (
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"Let's master **Rotational Dynamics**! 🎡 Here is how you tackle rolling without slipping:\n\n"
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"**Rolling Dynamics Checklist:**\n"
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"- **Pure Rolling Condition:** $v_{cm} = \\omega R$\n"
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"- **Total Kinetic Energy:**\n"
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"$$K_{total} = \\frac{1}{2} M v^2 + \\frac{1}{2} I_{cm} \\omega^2 = \\frac{1}{2} M v^2 \\left(1 + \\frac{k^2}{R^2}\\right)$$\n"
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"- **Acceleration on an Incline ($\\theta$):**\n"
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"$$a_{cm} = \\frac{g \\sin\\theta}{1 + \\frac{I_{cm}}{MR^2}}$$\n\n"
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"🎯 **Quick check:** For a solid cylinder ($I = \\frac{1}{2}MR^2$), what is the minimum friction coefficient required? Answer: $\\mu_s \\ge \\frac{1}{3} \\tan\\theta$."
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)
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elif any(k in msg_lower for k in ["integral", "derivative", "calculus", "limit", "math", "equation"]):
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response = (
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"Here is the calculus solution! 📐\n\n"
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"Let's look at the standard method:\n"
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"$$\\int \\frac{dx}{x^2 + a^2} = \\frac{1}{a} \\arctan\\left(\\frac{x}{a}\\right) + C$$\n\n"
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"For definite integrals with symmetry, remember **King's Property**:\n"
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"$$\\int_a^b f(x) dx = \\int_a^b f(a + b - x) dx$$\n\n"
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"This property is tested in over 60% of JEE Advanced definite integration questions!"
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)
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elif any(k in msg_lower for k in ["bio", "cell", "dna", "genetics", "botany", "zoology", "neet"]):
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response = (
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"Excellent NEET biology focus! 🧬\n\n"
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"**Key NCERT Concept:**\n"
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"- Remember that in **Mendelian Genetics**, dihybrid cross phenotypic ratio is **9:3:3:1**.\n"
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"- In **Incomplete Dominance** (e.g. *Mirabilis jalapa*), both phenotypic and genotypic ratios are **1:2:1**.\n\n"
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"Keep practicing high-yield NCERT diagrams and line-by-line chapter questions in PrepPilot AI!"
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)
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else:
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response = (
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f"Hello! I am your **PragatiVeer AI Tutor** 🤖.\n\n"
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f"Regarding your query: *\"{user_message.strip()}\"*\n\n"
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"**Recommended Problem-Solving Steps:**\n"
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"1. **Identify the Core Concept:** Distinguish known variables from unknowns.\n"
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"2. **Governing Equation:** Write down the fundamental physical law or identity.\n"
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"3. **Dimensional Consistency:** Always check SI units and dimensions.\n\n"
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"Feel free to ask for formula derivations, step-by-step problem solutions, or practice tips for JEE & NEET!"
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)
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# Stream response in natural token chunks with tiny pauses
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words = response.split(" ")
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buffer = ""
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for i, word in enumerate(words):
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buffer += word + " "
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if (i + 1) % 3 == 0 or i == len(words) - 1:
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yield buffer
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buffer = ""
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await asyncio.sleep(0.02)
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126
backend/main.py
126
backend/main.py
@@ -641,11 +641,110 @@ def get_referral_dashboard(user_id: UUID, session: Session = Depends(get_session
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"share_message": f"I'm on a {user.streak_count}-day study streak on PragatiVeer! Use my link to get 7 days of the AI Coach for free: {link}"
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}
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# --- USERS ---
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# --- USERS & DEMO PROFILES ---
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DEMO_DEFINITIONS = {
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UUID("b0e17378-864d-439e-8806-708dc48a891b"): {
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"name": "Rahul Sharma",
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"email": "rahul.demo@pragativeer.com",
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"phone": "9999999999",
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"student_class": models.ClassEnum.TWELFTH,
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"medium": models.MediumEnum.ENGLISH,
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"target_exam": models.ExamEnum.JEE_MAIN,
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"city": "New Delhi",
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"state": "Delhi",
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"school": "Delhi Public School, R.K. Puram",
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"tier": models.TierEnum.AI_COACH,
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"streak_count": 6,
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"longest_streak": 6,
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},
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UUID("33333333-3333-3333-3333-333333333333"): {
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"name": "Neha Verma",
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"email": "demo@pragativeer.com",
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"phone": "9999999997",
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"student_class": models.ClassEnum.TWELFTH,
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"medium": models.MediumEnum.ENGLISH,
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"target_exam": models.ExamEnum.JEE_MAIN,
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"city": "New Delhi",
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"state": "Delhi",
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"school": "Modern School, Barakhamba Road",
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"tier": models.TierEnum.AI_COACH,
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"streak_count": 15,
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"longest_streak": 25,
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},
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UUID("22222222-2222-2222-2222-222222222222"): {
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"name": "Priya Singh",
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"email": "priya.demo@pragativeer.com",
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"phone": "9999999996",
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"student_class": models.ClassEnum.TWELFTH,
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"medium": models.MediumEnum.ENGLISH,
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"target_exam": models.ExamEnum.NEET,
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"city": "Lucknow",
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"state": "Uttar Pradesh",
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"school": "City Montessori School",
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"tier": models.TierEnum.PRO,
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"streak_count": 42,
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"longest_streak": 42,
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},
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UUID("11111111-1111-1111-1111-111111111111"): {
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"name": "Amit Kumar",
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"email": "amit.demo@pragativeer.com",
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"phone": "9999999995",
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"student_class": models.ClassEnum.ELEVENTH,
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"medium": models.MediumEnum.ENGLISH,
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"target_exam": models.ExamEnum.JEE_MAIN,
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"city": "Patna",
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"state": "Bihar",
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"school": "Loyola High School",
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"tier": models.TierEnum.FREE,
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"streak_count": 38,
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"longest_streak": 38,
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},
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}
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def ensure_demo_user(user_id: UUID, session: Session) -> Optional[models.User]:
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"""Ensures a requested demo UUID exists in the DB so demo switching never 404s (BUG-03)."""
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user = session.get(models.User, user_id)
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if user:
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return user
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if user_id in DEMO_DEFINITIONS:
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data = DEMO_DEFINITIONS[user_id]
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import bcrypt
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new_demo = models.User(
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id=user_id,
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password_hash=bcrypt.hashpw("Pv9#kL2$mQ8!vX4@".encode('utf-8'), bcrypt.gensalt()).decode('utf-8'),
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last_active=datetime.utcnow(),
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**data
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)
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session.add(new_demo)
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session.commit()
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session.refresh(new_demo)
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return new_demo
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return None
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@app.get("/api/user/switch", tags=["Users"])
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@app.post("/api/user/switch", tags=["Users"])
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def switch_user_endpoint(id: str, session: Session = Depends(get_session)):
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"""BUG-03 fix: Dedicated switch user endpoint that supports legacy aliases (usr_02 etc.) and UUIDs."""
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mapping = {
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"usr_01": "11111111-1111-1111-1111-111111111111",
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"usr_02": "22222222-2222-2222-2222-222222222222",
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"usr_03": "33333333-3333-3333-3333-333333333333",
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"usr_04": "b0e17378-864d-439e-8806-708dc48a891b",
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}
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target_id_str = mapping.get(id, id)
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try:
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uid = UUID(target_id_str)
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except Exception:
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raise HTTPException(status_code=400, detail="Invalid user ID format")
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user = ensure_demo_user(uid, session) or session.get(models.User, uid)
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if not user:
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raise HTTPException(status_code=404, detail="User not found")
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return {"status": "success", "user_id": str(user.id), "name": user.name}
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@app.get("/api/users/{user_id}", response_model=models.User, tags=["Users"])
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def get_user_profile(user_id: UUID, session: Session = Depends(get_session)):
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user = session.get(models.User, user_id)
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user = ensure_demo_user(user_id, session) or session.get(models.User, user_id)
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if not user:
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raise HTTPException(status_code=404, detail="User not found")
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@@ -707,7 +806,7 @@ class UserSessionUpdate(BaseModel):
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@app.post("/api/users/{user_id}/session", response_model=models.User, tags=["Users"])
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def update_user_session(user_id: UUID, payload: UserSessionUpdate, session: Session = Depends(get_session)):
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user = session.get(models.User, user_id)
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user = ensure_demo_user(user_id, session) or session.get(models.User, user_id)
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if not user:
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raise HTTPException(status_code=404, detail="User not found")
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@@ -751,7 +850,7 @@ DEMO_USER_UUIDS = {
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@app.get("/api/users/{user_id}/stats", tags=["Users"])
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def get_user_stats(user_id: UUID, session: Session = Depends(get_session)):
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"""Return real-time performance stats for the user from the database."""
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user = session.get(models.User, user_id)
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user = ensure_demo_user(user_id, session) or session.get(models.User, user_id)
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if not user:
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raise HTTPException(status_code=404, detail="User not found")
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@@ -833,20 +932,25 @@ def get_leaderboard(
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{"name": "Rohan Das", "base_score": 8100, "accuracy": "75%", "streak": 12},
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]
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# Fetch real user if provided
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requesting_user = session.get(models.User, user_id) if user_id else None
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# Fetch real user if provided (with demo auto-provision fallback)
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requesting_user = ensure_demo_user(user_id, session) if user_id else None
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if not requesting_user and user_id:
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requesting_user = session.get(models.User, user_id)
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# Calculate real user's stats
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user_score = 0
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user_accuracy = "0%"
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user_streak = 0 # BUG-04 fix: real zero for new users (no artificial min floor)
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user_streak = 0
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if requesting_user:
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if str(requesting_user.id) in DEMO_USER_UUIDS:
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user_score = 9250
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user_accuracy = "88.5%"
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user_streak = requesting_user.streak_count or 25
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# BUG-07 fix: Harmonize demo score with Accuracy x Streak Bonus formula
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user_streak = requesting_user.streak_count if requesting_user.streak_count is not None else 15
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acc_val = 88.5
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user_accuracy = f"{acc_val}%"
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# Score formula: base accuracy + streak consistency bonus
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user_score = int((acc_val * 90) + (user_streak * 35))
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else:
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user_streak = requesting_user.streak_count or 0 # BUG-04 fix: 0 is valid
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user_streak = requesting_user.streak_count or 0
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user_attempts = session.exec(
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select(models.Attempt).where(
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models.Attempt.user_id == requesting_user.id,
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@@ -72,23 +72,92 @@ def seed_local_database():
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)
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session.add(student_user)
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# 3. Neha Verma (AI Coach demo student)
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neha_id = UUID("33333333-3333-3333-3333-333333333333")
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neha_user = models.User(
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id=neha_id,
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phone="9999999997",
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email="neha.demo@pragativeer.com",
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password_hash=bcrypt.hashpw("Pv9#kL2$mQ8!vX4@".encode('utf-8'), bcrypt.gensalt()).decode('utf-8'),
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name="Neha Verma",
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student_class=models.ClassEnum.TWELFTH,
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medium=models.MediumEnum.ENGLISH,
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target_exam=models.ExamEnum.JEE_MAIN,
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school="Modern School, Barakhamba Road",
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city="New Delhi",
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state="Delhi",
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tier=models.TierEnum.AI_COACH,
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trial_end=None,
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subscription_end=datetime.utcnow() + timedelta(days=345),
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streak_count=15,
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longest_streak=25,
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last_active=datetime.utcnow()
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)
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session.add(neha_user)
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# 4. Priya Singh (Pro Tier demo student)
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priya_id = UUID("22222222-2222-2222-2222-222222222222")
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priya_user = models.User(
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id=priya_id,
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phone="9999999996",
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email="priya.demo@pragativeer.com",
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password_hash=bcrypt.hashpw("Pv9#kL2$mQ8!vX4@".encode('utf-8'), bcrypt.gensalt()).decode('utf-8'),
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name="Priya Singh",
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student_class=models.ClassEnum.TWELFTH,
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medium=models.MediumEnum.ENGLISH,
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target_exam=models.ExamEnum.NEET,
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school="City Montessori School",
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city="Lucknow",
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state="Uttar Pradesh",
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tier=models.TierEnum.PRO,
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trial_end=None,
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subscription_end=datetime.utcnow() + timedelta(days=345),
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streak_count=42,
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longest_streak=42,
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last_active=datetime.utcnow()
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)
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session.add(priya_user)
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# 5. Amit Kumar (Free Tier demo student)
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amit_id = UUID("11111111-1111-1111-1111-111111111111")
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amit_user = models.User(
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id=amit_id,
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phone="9999999995",
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email="amit.demo@pragativeer.com",
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password_hash=bcrypt.hashpw("Pv9#kL2$mQ8!vX4@".encode('utf-8'), bcrypt.gensalt()).decode('utf-8'),
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name="Amit Kumar",
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student_class=models.ClassEnum.ELEVENTH,
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medium=models.MediumEnum.ENGLISH,
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target_exam=models.ExamEnum.JEE_MAIN,
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school="Loyola High School",
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city="Patna",
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state="Bihar",
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tier=models.TierEnum.FREE,
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trial_end=None,
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streak_count=38,
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longest_streak=38,
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last_active=datetime.utcnow()
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)
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session.add(amit_user)
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# Flush users first so FK constraints for subscription/transaction are satisfied
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session.flush()
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# Seed Demo Student Subscription record
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demo_subscription = models.Subscription(
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id=uuid4(),
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user_id=student_id,
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tier=models.TierEnum.AI_COACH,
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billing_cycle="Annual",
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start_date=datetime.utcnow() - timedelta(days=20),
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end_date=datetime.utcnow() + timedelta(days=345),
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amount=1199900,
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payment_id="PAY_DEMO_001",
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status="Active",
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auto_renew=True,
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)
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session.add(demo_subscription)
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# Seed Demo Student Subscription records
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for uid, tier in [(student_id, models.TierEnum.AI_COACH), (neha_id, models.TierEnum.AI_COACH), (priya_id, models.TierEnum.PRO)]:
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demo_subscription = models.Subscription(
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id=uuid4(),
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user_id=uid,
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tier=tier,
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billing_cycle="Annual",
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start_date=datetime.utcnow() - timedelta(days=20),
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end_date=datetime.utcnow() + timedelta(days=345),
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amount=1199900,
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payment_id=f"PAY_DEMO_{str(uid)[:6]}",
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status="Active",
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auto_renew=True,
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)
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session.add(demo_subscription)
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# Seed Demo Student Transaction record
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demo_txn = models.Transaction(
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