A tongue-in-cheek implementation that combines Retrieval Augmented Generation (RAG) with time manipulation to generate ragtime music. This script demonstrates the perfect intersection of AI humor and dad jokes - where modern machine learning techniques meet historical music genres. The pun works on multiple levels: 1. RAG (Retrieval Augmented Ge…

RAG_time.py

#!/usr/bin/env python3
"""
RAG_time Music Generator
A clever demonstration of Retrieval Augmented Generation (RAG) 
and time manipulation to create MIDI music.

Scott Joplin meets LLMs: The perfect mashup nobody asked for.

This is what happens when a programmer makes a music pun:
R.A.G. (Retrieval Augmented Generation) + time manipulation = RAGtime
"""

# Standard library imports
import random
import time
from datetime import datetime
from typing import Dict, List, Tuple, Union, Optional, Any

# Third-party imports
try:
    import numpy as np
    import torch
    from midiutil import MIDIFile
    from transformers import AutoTokenizer, AutoModel
except ImportError as e:
    print(f"Error importing required libraries: {e}")
    print("Please install required packages: pip install numpy torch midiutil transformers")
    exit(1)

# === R.A.G Component: Retrieval Augmented Generation ===
class MusicKnowledgeBase:
    """Simulated knowledge base of musical patterns and theory.
    
    This class provides a mock implementation of a retrieval system
    for ragtime music knowledge, including patterns, composers, and pieces.
    """
    
    def __init__(self) -> None:
        """Initialize the knowledge base with ragtime music information."""
        # The "Retrieval" in RAGtime
        self.ragtime_patterns: List[str] = [
            "C E G C' - E G C' E'",  # C major arpeggio with extension
            "G B D' G' - B D' G' B'", # G major arpeggio with extension
            "F A C' F' - A C' F' A'", # F major arpeggio with extension
            "Left hand stride pattern: low bass note, chord, chord, chord",
            "Syncopated melody with emphasis on off-beats",
        ]
        
        self.composers: List[str] = ["Scott Joplin", "James Scott", "Joseph Lamb"]
        
        self.famous_pieces: Dict[str, List[str]] = {
            "Scott Joplin": ["Maple Leaf Rag", "The Entertainer", "Elite Syncopations"],
            "James Scott": ["Frog Legs Rag", "Grace and Beauty", "Climax Rag"],
            "Joseph Lamb": ["American Beauty Rag", "Bohemia Rag", "Ragtime Nightingale"]
        }
    
    def retrieve(self, query: str) -> List[str]:
        """Simulate retrieval of relevant musical knowledge.
        
        Args:
            query: The search query string
            
        Returns:
            A list of relevant musical knowledge items
        """
        # In a real RAG system, this would use embeddings and vector search
        # But in this pun, we're just pretending to be smart
        results: List[str] = []
        
        if "pattern" in query.lower():
            results.extend(self.ragtime_patterns)
        
        if "composer" in query.lower():
            results.extend(self.composers)
            
        if "piece" in query.lower() or "composition" in query.lower():
            for composer, pieces in self.famous_pieces.items():
                results.extend([f"{piece} by {composer}" for piece in pieces])
                
        # If no specific query matches, return a mix of information
        if not results:
            results = [random.choice(self.ragtime_patterns)]
            composer = random.choice(self.composers)
            results.append(f"Inspired by {composer}")
            
            try:
                results.append(f"Similar to {random.choice(self.famous_pieces[composer])}")
            except (KeyError, IndexError):
                # Fallback in case of unexpected data issues
                results.append("Similar to classic ragtime pieces")
            
        return results

# === Time Manipulation Component ===
class TimeManipulator:
    """Manipulates time signatures and tempo for music generation.
    
    This class handles all time-related aspects of ragtime music generation,
    including time signatures, tempos, and timestamp-based seeding.
    """
    
    def __init__(self) -> None:
        """Initialize the time manipulator with ragtime-appropriate parameters."""
        # The "time" in RAGtime
        self.time_signatures: List[Tuple[int, int]] = [(2, 4), (4, 4)]  # Common ragtime time signatures
        self.tempos: range = range(85, 110)  # Classic ragtime tempos (BPM)
        
    def get_time_signature(self) -> Tuple[int, int]:
        """Return an appropriate ragtime time signature.
        
        Returns:
            A tuple of (numerator, denominator) for the time signature
        """
        # Classic ragtime is typically in 2/4 time
        return random.choice(self.time_signatures)
    
    def get_tempo(self) -> int:
        """Return an appropriate ragtime tempo.
        
        Returns:
            An integer representing tempo in BPM
        """
        # Ragtime is typically played at moderate tempos
        # Just like this code should be read at a moderate tempo to get the joke
        return random.choice(self.tempos)
    
    def get_timestamp(self) -> Dict[str, int]:
        """Return the current time as a musical seed.
        
        Returns:
            A dictionary containing time components
        """
        now = datetime.now()
        # Use the current time components as musical seeds
        # See what we did there? TIME components... for RAGtime...
        return {
            "hour": now.hour,
            "minute": now.minute,
            "second": now.second,
            "microsecond": now.microsecond
        }

# === Music Generator ===
class RAG_time_Generator:
    """Generates ragtime music using RAG and time manipulation.
    
    This class combines the knowledge retrieval and time manipulation
    components to generate ragtime music in a humorous demonstration
    of the RAG + time = RAGtime pun.
    """
    
    def __init__(self) -> None:
        """Initialize the RAGtime generator with its component systems."""
        # Combining RAG + time = RAGtime. Get it? GET IT?
        self.knowledge_base = MusicKnowledgeBase()
        self.time_manipulator = TimeManipulator()
        
    def generate(self, seed_query: str = "Generate a classic ragtime pattern") -> Dict[str, Any]:
        """Generate a ragtime music piece.
        
        Args:
            seed_query: The query to retrieve musical knowledge
            
        Returns:
            A dictionary containing the generation results
        """
        try:
            # Step 1: Retrieve musical knowledge (the RAG part)
            print("🔍 Retrieving musical knowledge...")
            musical_knowledge = self.knowledge_base.retrieve(seed_query)
            
            # Step 2: Get time-based parameters (the time part)
            print("⏱️ Manipulating time parameters...")
            time_signature = self.time_manipulator.get_time_signature()
            tempo = self.time_manipulator.get_tempo()
            timestamp = self.time_manipulator.get_timestamp()
            
            # Step 3: Create the MIDI file (simulated)
            print("🎵 Generating MIDI sequence...")
            print("🎩 Putting the RAG and time together to make... wait for it...")
            midi_file = self._create_midi(musical_knowledge, time_signature, tempo, timestamp)
            
            return {
                "knowledge_used": musical_knowledge,
                "time_signature": f"{time_signature[0]}/{time_signature[1]}",
                "tempo": tempo,
                "timestamp_seed": timestamp,
                "midi_file": midi_file
            }
        except Exception as e:
            print(f"Error generating RAGtime music: {e}")
            # Return a minimal result in case of error
            return {
                "error": str(e),
                "knowledge_used": [],
                "time_signature": "2/4",
                "tempo": 100,
                "timestamp_seed": {},
                "midi_file": "error_ragtime.mid"
            }
    
    def _create_midi(self, knowledge: List[str], time_signature: Tuple[int, int], 
                    tempo: int, timestamp: Dict[str, int]) -> str:
        """Simulate MIDI file creation.
        
        Args:
            knowledge: Retrieved musical knowledge
            time_signature: The time signature as (numerator, denominator)
            tempo: The tempo in BPM
            timestamp: Time components for seeding
            
        Returns:
            The filename of the generated MIDI file
        """
        # This is a simplified simulation - a real implementation would create an actual MIDI file
        # But the pun is 100% real
        try:
            return f"ragtime_{timestamp['hour']}_{timestamp['minute']}_{timestamp['second']}.mid"
        except KeyError:
            # Fallback in case of missing timestamp components
            return f"ragtime_{int(time.time())}.mid"


def main() -> None:
    """Run the RAGtime music generator demonstration."""
    print("🎹 RAG_time Music Generator 🎹")
    print("Combining Retrieval Augmented Generation with Time Manipulation")
    print("-" * 60)
    
    # Scott Joplin would be so proud. Or confused. Probably confused.
    generator = RAG_time_Generator()
    
    print("Generating a new RAGtime composition...")
    result = generator.generate("Generate a syncopated ragtime pattern in the style of Scott Joplin")
    
    if "error" in result:
        print(f"\n❌ Generation Error: {result['error']}")
    else:
        print("\n✨ Generation Complete! ✨")
        print(f"Time Signature: {result['time_signature']}")
        print(f"Tempo: {result['tempo']} BPM")
        print(f"Musical Knowledge Applied:")
        for i, knowledge in enumerate(result['knowledge_used'], 1):
            print(f"  {i}. {knowledge}")
        print(f"Output File: {result['midi_file']}")
        
    print("\nRAGtime: Where we retrieve musical knowledge and manipulate time signatures... get it? 🎩🎵")
    print("The perfect intersection of AI and dad jokes. You're welcome, LinkedIn.")


if __name__ == "__main__":
    main()