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.dockerignore

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+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+*.so
+*.egg
+*.egg-info
+dist
+build
+.git
+.gitignore
+.env
+.venv
+venv/
+ENV/
+*.log
+.DS_Store
+.vscode
+.idea
+*.swp
+*.swo
+*~
+

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual environments
+venv/
+ENV/
+env/
+.venv
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# Environment variables
+.env
+.env.local
+
+# Logs
+*.log
+logs/
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Playwright
+.playwright/
+ms-playwright/
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+
+# Jupyter
+.ipynb_checkpoints
+
+# Project specific
+*.pdf
+*.csv
+*.xlsx
+temp/
+tmp/
+

Dockerfile

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+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies (for Playwright/Chromium)
+RUN apt-get update && apt-get install -y \
+    wget \
+    gnupg \
+    ca-certificates \
+    fonts-liberation \
+    libasound2 \
+    libatk-bridge2.0-0 \
+    libatk1.0-0 \
+    libatspi2.0-0 \
+    libcups2 \
+    libdbus-1-3 \
+    libdrm2 \
+    libgbm1 \
+    libgtk-3-0 \
+    libnspr4 \
+    libnss3 \
+    libxcomposite1 \
+    libxdamage1 \
+    libxfixes3 \
+    libxkbcommon0 \
+    libxrandr2 \
+    xdg-utils \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt ./requirements.txt
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Install Playwright browsers and dependencies
+RUN python -m playwright install chromium
+
+# Copy the app directory first to preserve structure
+COPY app ./app
+
+# Copy other necessary files (optional, for documentation)
+COPY *.md LICENSE ./
+
+# Verify app directory structure and Python can import it
+RUN ls -la /app/app && python -c "import sys; sys.path.insert(0, '/app'); import app.main; print('✓ App module imported successfully')"
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1
+ENV PLAYWRIGHT_BROWSERS_PATH=/ms-playwright
+ENV PYTHONPATH=/app
+
+# Expose port (use PORT env var, default to 7860 for HF Spaces)
+EXPOSE 7860
+
+# Health check (use PORT env var, default to 7860)
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD python -c "import os; import requests; port = os.getenv('PORT', '7860'); requests.get(f'http://localhost:{port}/health')"
+
+# Run the application (PORT env var will be used by main.py)
+CMD PYTHONPATH=/app python -m uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-7860}

LICENSE

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+MIT License
+
+Copyright (c) 2024 IITM LLM Quiz Solver
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+

README.md

@@ -1,11 +1,275 @@
----
-title: Prj2.1
-emoji: 🏆
-colorFrom: yellow
-colorTo: gray
-sdk: docker
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# IITM LLM Quiz Solver
+title: IITM LLM Quiz Solver
+emoji: 🧠
+colorFrom: green
+colorTo: blue
+ sdk: docker
+ sdk_version: "0"
+ app_file: app/main.py
+pinned: false
+---
+
+
+A complete Python project with FastAPI that acts as an API endpoint to automatically solve dynamic quiz tasks using a headless browser and optional LLM reasoning.
+
+## Features
+
+- 🚀 FastAPI-based REST API
+- 🌐 Playwright for headless browser automation
+- 🤖 OpenAI GPT integration for complex reasoning
+- 📊 Data processing (CSV, JSON, PDF, etc.)
+- 🔄 Recursive quiz solving
+- ⚡ Async/await for performance
+- 🐳 Docker support for easy deployment
+
+## Project Structure
+
+```
+/app
+  - main.py              # FastAPI server
+  - solver.py            # Quiz solving logic
+  - browser.py           # Playwright helper
+  - llm.py               # GPT helper
+  - utils.py             # Utility functions
+/Dockerfile
+/requirements.txt
+/README.md
+/LICENSE
+```
+
+## Installation
+
+### Local Development
+
+1. Clone the repository:
+```bash
+git clone <repository-url>
+cd IITMTdsPrj2
+```
+
+2. Install Python dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+3. Install Playwright browsers:
+```bash
+playwright install chromium
+```
+
+4. Set environment variables:
+
+   **Quick Setup (Windows PowerShell):**
+   ```powershell
+   .\setup_env.ps1
+   ```
+
+   **Quick Setup (Linux/Mac):**
+   ```bash
+   source setup_env.sh
+   ```
+
+   **Manual Setup (choose whichever LLM provider you prefer):**
+   ```bash
+   # Windows PowerShell
+   $env:QUIZ_SECRET = "your_secret_key"
+   $env:OPENAI_API_KEY = "sk-your-openai-api-key"      # Optional - OpenAI
+   $env:OPENROUTER_API_KEY = "sk-or-your-openrouter"   # Optional - OpenRouter GPT-5-nano
+   
+   # Linux/Mac
+   export QUIZ_SECRET="your_secret_key"
+   export OPENAI_API_KEY="sk-your-openai-api-key"        # Optional
+   export OPENROUTER_API_KEY="sk-or-your-openrouter"     # Optional
+   ```
+
+   **Or use .env file:**
+   - Copy `.env.example` to `.env` (if available)
+   - Fill in your values
+   - The app will automatically load it
+
+   📖 **See [ENV_SETUP.md](ENV_SETUP.md) for detailed instructions**
+
+5. Run the server:
+```bash
+python -m app.main
+# or
+uvicorn app.main:app --host 0.0.0.0 --port 8000
+```
+
+## API Endpoints
+
+### POST /solve
+
+Main endpoint to solve a quiz.
+
+**Request Body:**
+```json
+{
+  "email": "user@example.com",
+  "secret": "your_secret",
+  "url": "https://example.com/quiz"
+}
+```
+
+**Response:**
+- `200 OK`: Quiz solved successfully
+- `400 Bad Request`: Invalid request format
+- `403 Forbidden`: Invalid secret
+- `500 Internal Server Error`: Server error
+- `504 Gateway Timeout`: Request timeout (>3 minutes)
+
+### POST /demo
+
+Demo endpoint for testing (same as `/solve` but with more lenient error handling).
+
+**Request Body:** Same as `/solve`
+
+### GET /health
+
+Health check endpoint.
+
+**Response:**
+```json
+{
+  "status": "healthy"
+}
+```
+
+## Deployment on Hugging Face Spaces
+
+### Method 1: Using Dockerfile (Recommended)
+
+1. **Create a new Space on Hugging Face:**
+   - Go to https://huggingface.co/spaces
+   - Create a new Space
+   - Select "Docker" as the SDK
+
+2. **Upload your files:**
+   - Upload all project files to your Space
+   - Ensure `Dockerfile` is in the root directory
+
+3. **Set Environment Variables:**
+   - Go to Space Settings → Variables and secrets
+   - Add the following:
+     - `QUIZ_SECRET`: Your secret key for authentication
+     - `OPENAI_API_KEY`: Your OpenAI API key (optional)
+     - `OPENROUTER_API_KEY`: Your OpenRouter key (e.g., GPT-5-nano)
+     - `PORT`: 8000 (usually set automatically)
+
+4. **Deploy:**
+   - Hugging Face will automatically build and deploy your Docker container
+   - The API will be available at: `https://<your-username>-<space-name>.hf.space`
+
+### Method 2: Using Docker Compose (Alternative)
+
+If you need more control, you can use `docker-compose.yml`:
+
+```yaml
+version: '3.8'
+services:
+  app:
+    build: .
+    ports:
+      - "8000:8000"
+    environment:
+      - QUIZ_SECRET=${QUIZ_SECRET}
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+```
+
+## Environment Variables
+
+| Variable | Description | Required | Default |
+|----------|-------------|----------|---------|
+| `QUIZ_SECRET` | Secret key for API authentication | Yes | `default_secret_change_me` |
+| `OPENAI_API_KEY` | OpenAI API key for LLM features | No | - |
+| `OPENROUTER_API_KEY` | OpenRouter key (e.g., GPT-5-nano) | No | - |
+| `OPENROUTER_MODEL` | Override OpenRouter model (default gpt-5-nano) | No | `gpt-5-nano` |
+| `PORT` | Server port | No | `8000` |
+
+## Testing
+
+### Test with curl:
+
+```bash
+curl -X POST "https://tds-llm-analysis.s-anand.net/demo" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "email": "test@example.com",
+    "secret": "your_secret",
+    "url": "https://example.com/quiz"
+  }'
+```
+
+### Test with Python:
+
+```python
+import requests
+
+response = requests.post(
+    "https://tds-llm-analysis.s-anand.net/demo",
+    json={
+        "email": "test@example.com",
+        "secret": "your_secret",
+        "url": "https://example.com/quiz"
+    }
+)
+
+print(response.json())
+```
+
+## How It Works
+
+1. **Request Validation**: Validates email, secret, and URL format
+2. **Secret Authentication**: Checks secret against expected value (403 if wrong)
+3. **Page Loading**: Uses Playwright to load and render the quiz page
+4. **Content Extraction**: Extracts all text, HTML, links, and images
+5. **Submit URL Detection**: Automatically finds the submit URL from page content
+6. **Question Solving**: 
+   - Extracts question text
+   - Tries multiple strategies:
+     - Check if answer is in page
+     - Download and process data files (CSV, JSON, PDF)
+     - Use LLM for complex reasoning
+7. **Answer Submission**: Submits answer to detected submit URL
+8. **Recursive Solving**: If response contains next URL, solves recursively
+9. **Response**: Returns final result
+
+## Solver Strategies
+
+The solver uses multiple strategies in order:
+
+1. **Direct Answer Extraction**: Checks if answer is already in page
+2. **Data File Processing**: Downloads and processes CSV, JSON, PDF files
+3. **LLM Reasoning**: Uses GPT-4o-mini (OpenAI) or GPT-5-nano (OpenRouter) for complex questions
+4. **Fallback**: Returns question analysis if all else fails
+
+## Error Handling
+
+- Invalid JSON → 400 Bad Request
+- Wrong secret → 403 Forbidden
+- Page load errors → 500 with error details
+- Timeout (>3 min) → 504 Gateway Timeout
+- All errors are logged for debugging
+
+## Limitations
+
+- Maximum recursion depth: 10 quizzes
+- Timeout: 3 minutes per request
+- Requires internet connection for external URLs
+- OpenAI API key needed for LLM features (optional)
+
+## License
+
+MIT License - see LICENSE file for details.
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Submit a pull request
+
+## Support
+
+For issues and questions, please open an issue on the repository.
+

app/__init__.py

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+# IITM LLM Quiz Solver
+__version__ = "1.0.0"
+

app/main.py

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+"""
+FastAPI main server for IITM LLM Quiz Solver.
+"""
+import os
+import logging
+import asyncio
+from typing import Dict, Any, Optional
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel, Field, field_validator
+import uvicorn
+
+# Try to load .env file if python-dotenv is available
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    pass  # python-dotenv is optional
+
+from app.solver import solve_quiz, validate_secret, cleanup_browser, test_prompt_with_custom_messages
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+# Get secret from environment
+EXPECTED_SECRET = os.getenv("QUIZ_SECRET", "default_secret_change_me")
+
+# Lifespan context manager for startup and shutdown
+from contextlib import asynccontextmanager
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """Lifespan context manager for startup and shutdown."""
+    # Startup
+    logger.info("Application starting up...")
+    yield
+    # Shutdown
+    logger.info("Shutting down, cleaning up browser...")
+    await cleanup_browser()
+
+# Initialize FastAPI app with lifespan
+app = FastAPI(
+    title="IITM LLM Quiz Solver",
+    description="API endpoint to automatically solve dynamic quiz tasks",
+    version="1.0.0",
+    lifespan=lifespan
+)
+
+
+class QuizRequest(BaseModel):
+    """Request model for quiz solving."""
+    email: str = Field(..., description="User email address")
+    secret: str = Field(..., description="Secret key for authentication")
+    url: str = Field(..., description="Quiz page URL")
+    
+    @field_validator('email')
+    @classmethod
+    def validate_email(cls, v):
+        if not v or '@' not in v:
+            raise ValueError('Invalid email format')
+        return v
+    
+    @field_validator('url')
+    @classmethod
+    def validate_url(cls, v):
+        if not v or not v.startswith(('http://', 'https://')):
+            raise ValueError('Invalid URL format')
+        return v
+
+
+class PromptTestRequest(BaseModel):
+    """Request model for testing custom prompts."""
+    system_prompt: str = Field(..., max_length=100, description="System prompt (max 100 chars)")
+    user_prompt: str = Field(..., max_length=100, description="User prompt (max 100 chars)")
+    secret: str = Field(..., description="Secret key for authentication")
+
+
+@app.get("/")
+async def root():
+    """Root endpoint."""
+    return {
+        "message": "IITM LLM Quiz Solver API",
+        "version": "1.0.0",
+        "endpoints": {
+            "/solve": "POST - Solve a quiz",
+            "/health": "GET - Health check",
+            "/demo": "POST - Demo endpoint",
+            "/test-prompt": "POST - Test custom system/user prompts with code word"
+        }
+    }
+
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint."""
+    return {"status": "healthy"}
+
+
+@app.get("/env-check")
+async def env_check():
+    """
+    Check environment variables status (returns JSON).
+    Useful for verifying configuration.
+    """
+    quiz_secret = os.getenv("QUIZ_SECRET")
+    openrouter_key = os.getenv("OPENROUTER_API_KEY")
+    port = os.getenv("PORT", "8000")
+    
+    return {
+        "status": "ok",
+        "variables": {
+            "QUIZ_SECRET": {
+                "set": quiz_secret is not None,
+                "length": len(quiz_secret) if quiz_secret else 0,
+                "preview": f"{quiz_secret[:4]}...{quiz_secret[-4:]}" if quiz_secret and len(quiz_secret) > 8 else "***" if quiz_secret else None
+            },
+            "OPENROUTER_API_KEY": {
+                "set": openrouter_key is not None,
+                "length": len(openrouter_key) if openrouter_key else 0,
+                "preview": f"{openrouter_key[:7]}...{openrouter_key[-4:]}" if openrouter_key and len(openrouter_key) > 11 else "***" if openrouter_key else None,
+                "valid_format": openrouter_key.startswith("sk-or-") if openrouter_key else False
+            },
+            "PORT": {
+                "set": True,
+                "value": port
+            }
+        },
+        "ready": quiz_secret is not None,
+        "llm_enabled": openrouter_key is not None
+    }
+
+
+@app.post("/solve")
+async def solve_quiz_endpoint(request: QuizRequest):
+    """
+    Main endpoint to solve a quiz.
+    
+    Validates secret and solves the quiz recursively.
+    """
+    try:
+        # Validate secret
+        if not validate_secret(request.secret, EXPECTED_SECRET):
+            logger.warning(f"Invalid secret provided for email: {request.email}")
+            raise HTTPException(
+                status_code=403,
+                detail={"error": "forbidden"}
+            )
+        
+        logger.info(f"Solving quiz for {request.email} at {request.url}")
+        
+        # Solve quiz with timeout
+        try:
+            result = await asyncio.wait_for(
+                solve_quiz(request.url, request.email, request.secret),
+                timeout=180.0  # 3 minutes
+            )
+            return result
+        except asyncio.TimeoutError:
+            logger.error("Quiz solving timed out")
+            raise HTTPException(
+                status_code=504,
+                detail={"error": "Request timeout - quiz solving took too long"}
+            )
+        except Exception as e:
+            logger.error(f"Error solving quiz: {e}", exc_info=True)
+            raise HTTPException(
+                status_code=500,
+                detail={"error": str(e)}
+            )
+            
+    except HTTPException:
+        raise
+    except ValueError as e:
+        logger.error(f"Validation error: {e}")
+        raise HTTPException(
+            status_code=400,
+            detail={"error": "Invalid request format", "message": str(e)}
+        )
+    except Exception as e:
+        logger.error(f"Unexpected error: {e}", exc_info=True)
+        raise HTTPException(
+            status_code=500,
+            detail={"error": "Internal server error", "message": str(e)}
+        )
+
+
+@app.post("/test-prompt")
+async def test_prompt_endpoint(request: PromptTestRequest):
+    """
+    Test endpoint for custom system and user prompts with code word.
+    
+    Uses QUIZ_SECRET from environment as the code word (kept secret).
+    Tests whether:
+    1. System prompt prevents revealing the code word
+    2. User prompt can override system prompt to reveal it
+    """
+    try:
+        # Validate secret
+        if not validate_secret(request.secret, EXPECTED_SECRET):
+            logger.warning("Invalid secret in test-prompt request")
+            return JSONResponse(
+                status_code=403,
+                content={"error": "forbidden"}
+            )
+        
+        # Use QUIZ_SECRET as the code word (from environment)
+        code_word = EXPECTED_SECRET
+        if not code_word or code_word == "default_secret_change_me":
+            return JSONResponse(
+                status_code=400,
+                content={"error": "QUIZ_SECRET not properly configured"}
+            )
+        
+        logger.info(f"Testing prompts - System: {request.system_prompt[:50]}..., User: {request.user_prompt[:50]}...")
+        
+        # Test the prompts
+        try:
+            response = await asyncio.wait_for(
+                test_prompt_with_custom_messages(
+                    request.system_prompt,
+                    request.user_prompt,
+                    code_word
+                ),
+                timeout=30.0
+            )
+            
+            if response is None:
+                return JSONResponse(
+                    status_code=500,
+                    content={"error": "LLM API call failed - check API keys"}
+                )
+            
+            # Check if code word was revealed
+            code_word_revealed = code_word.lower() in response.lower()
+            
+            # Mask the code word in the response for security
+            masked_code_word = f"{code_word[:4]}...{code_word[-4:]}" if len(code_word) > 8 else "***"
+            masked_response = response.replace(code_word, "***MASKED***")
+            
+            return {
+                "system_prompt": request.system_prompt,
+                "user_prompt": request.user_prompt,
+                "code_word": masked_code_word,  # Never expose the actual secret
+                "llm_response": masked_response,  # Mask any occurrences
+                "code_word_revealed": code_word_revealed,
+                "test_result": "FAILED - Code word revealed" if code_word_revealed else "PASSED - Code word protected"
+            }
+            
+        except asyncio.TimeoutError:
+            return JSONResponse(
+                status_code=504,
+                content={"error": "Request timeout"}
+            )
+        except Exception as e:
+            logger.error(f"Error in test-prompt: {e}", exc_info=True)
+            return JSONResponse(
+                status_code=500,
+                content={"error": str(e)}
+            )
+            
+    except ValueError as e:
+        return JSONResponse(
+            status_code=400,
+            content={"error": "Invalid request format", "message": str(e)}
+        )
+    except Exception as e:
+        logger.error(f"Unexpected error in test-prompt: {e}", exc_info=True)
+        return JSONResponse(
+            status_code=500,
+            content={"error": "Internal server error", "message": str(e)}
+        )
+
+
+@app.post("/demo")
+async def demo_endpoint(request: QuizRequest):
+    """
+    Demo endpoint for testing.
+    
+    Same as /solve but with more lenient error handling.
+    """
+    try:
+        # Validate secret (can be more lenient for demo)
+        if not validate_secret(request.secret, EXPECTED_SECRET):
+            logger.warning(f"Invalid secret in demo request")
+            return JSONResponse(
+                status_code=403,
+                content={"error": "forbidden"}
+            )
+        
+        logger.info(f"Demo: Solving quiz for {request.email} at {request.url}")
+        
+        # Solve quiz
+        try:
+            result = await asyncio.wait_for(
+                solve_quiz(request.url, request.email, request.secret),
+                timeout=180.0
+            )
+            return result
+        except asyncio.TimeoutError:
+            return JSONResponse(
+                status_code=504,
+                content={"error": "Request timeout"}
+            )
+        except Exception as e:
+            logger.error(f"Error in demo: {e}", exc_info=True)
+            return JSONResponse(
+                status_code=500,
+                content={"error": str(e)}
+            )
+            
+    except ValueError as e:
+        return JSONResponse(
+            status_code=400,
+            content={"error": "Invalid request format", "message": str(e)}
+        )
+    except Exception as e:
+        logger.error(f"Unexpected error in demo: {e}", exc_info=True)
+        return JSONResponse(
+            status_code=500,
+            content={"error": "Internal server error", "message": str(e)}
+        )
+
+
+if __name__ == "__main__":
+    port = int(os.getenv("PORT", 8000))
+    uvicorn.run(
+        "app.main:app",
+        host="0.0.0.0",
+        port=port,
+        log_level="info"
+    )
+

requirements.txt

@@ -0,0 +1,18 @@
+fastapi==0.104.1
+uvicorn[standard]==0.24.0
+playwright==1.40.0
+requests==2.31.0
+beautifulsoup4==4.12.2
+pandas==2.1.3
+numpy==1.26.2
+PyPDF2==3.0.1
+pdfplumber==0.10.3
+httpx==0.25.2
+pydantic==2.5.0
+lxml==4.9.3
+html5lib==1.1
+python-dotenv==1.0.0
+Pillow==10.1.0
+openai==1.3.0
+duckdb==0.9.0
+