solana_edu_bot.py

#!/usr/bin/env python3

import os
import json
from termcolor import colored
import pytgpt.phind as phind
from typing import List, Dict

# Initialize LLM interaction
bot = phind.PHIND()

# Constants
CONFIG_FILE = "solana_bot_config.json"
HISTORY_FILE = "conversation_history.json"

def load_config() -> Dict:
    if os.path.exists(CONFIG_FILE):
        with open(CONFIG_FILE, "r") as f:
            return json.load(f)
    return {"api_key": ""}

def save_config(config: Dict):
    with open(CONFIG_FILE, "w") as f:
        json.dump(config, f)

def load_history() -> List[Dict]:
    if os.path.exists(HISTORY_FILE):
        with open(HISTORY_FILE, "r") as f:
            return json.load(f)
    return []

def save_history(history: List[Dict]):
    with open(HISTORY_FILE, "w") as f:
        json.dump(history, f)

def print_header(text: str):
    print(colored("=" * len(text), "green"))
    print(colored(text, "yellow"))
    print(colored("=" * len(text), "green"))

def get_bot_response(prompt: str) -> str:
    return bot.chat(prompt)

def solana_market_analysis():
    print_header("Solana Market Analysis and Forecasting")
    aspect = input(colored("What specific aspect of Solana would you like to analyze (e.g., price action, network usage, DeFi trends)? ", "cyan"))
    timeframe = input(colored("What timeframe are you interested in (e.g., short-term, long-term)? ", "cyan"))
    prompt = f"""Provide a detailed analysis and forecast for {aspect} in the Solana ecosystem over a {timeframe} timeframe. Include:
    1. Current market conditions and recent trends
    2. Key factors influencing {aspect} (technical, fundamental, and sentiment-based)
    3. Potential scenarios and their likelihood
    4. Specific metrics or indicators to watch
    5. Implications for traders and investors
    6. Potential risks and how to mitigate them

    Base your analysis on historical data, current market dynamics, and potential future developments in the Solana ecosystem."""
    analysis = get_bot_response(prompt)
    print(colored("Market Analysis and Forecast:", "blue"))
    print(analysis)
    return {"type": "market_analysis", "aspect": aspect, "timeframe": timeframe, "analysis": analysis}

def trading_strategy_generator():
    print_header("Solana Trading Strategy Generator")
    strategy_type = input(colored("What type of trading strategy are you interested in (e.g., momentum, arbitrage, yield farming)? ", "cyan"))
    risk_profile = input(colored("What's your risk profile (low, medium, high)? ", "cyan"))
    prompt = f"""Generate a detailed {strategy_type} trading strategy for Solana with a {risk_profile} risk profile. Include:
    1. Step-by-step implementation guide
    2. Required tools and platforms
    3. Entry and exit criteria
    4. Risk management techniques
    5. Potential profit scenarios and drawdown risks
    6. Backtesting and optimization suggestions
    7. Specific Solana tokens or projects to focus on
    8. Consideration of gas fees and transaction speed on Solana

    Ensure the strategy is tailored to Solana's unique features and ecosystem."""
    strategy = get_bot_response(prompt)
    print(colored("Trading Strategy:", "blue"))
    print(strategy)
    return {"type": "trading_strategy", "strategy_type": strategy_type, "risk_profile": risk_profile, "strategy": strategy}

def dex_analysis():
    print_header("Solana DEX Analysis")
    dex_name = input(colored("Which Solana DEX would you like to analyze (e.g., Serum, Raydium, Orca)? ", "cyan"))
    prompt = f"""Provide a comprehensive analysis of the {dex_name} decentralized exchange on Solana. Include:
    1. Overview of {dex_name}'s architecture and unique features
    2. Liquidity analysis and comparison with other Solana DEXes
    3. Trading pairs and volume analysis
    4. Fee structure and incentive mechanisms
    5. Integration with other Solana projects
    6. Security features and past incidents (if any)
    7. Future development roadmap and potential impact on the Solana ecosystem
    8. Advantages and disadvantages for traders and liquidity providers

    Provide specific examples and data points where possible."""
    analysis = get_bot_response(prompt)
    print(colored(f"{dex_name} DEX Analysis:", "blue"))
    print(analysis)
    return {"type": "dex_analysis", "dex_name": dex_name, "analysis": analysis}

def pump_strategy_guide():
    print_header("Pump Strategy Guide (Educational Purposes Only)")
    token_type = input(colored("What type of token are you interested in (e.g., meme coins, DeFi tokens, NFT projects)? ", "cyan"))
    prompt = f"""Create an educational guide explaining the mechanics and risks of pump strategies for {token_type} on Solana. Include:
    1. Definition and explanation of pump strategies
    2. Common tactics used in pump operations
    3. Indicators that might suggest a pump is occurring
    4. Risks and potential legal implications
    5. How these strategies exploit market inefficiencies
    6. Impact on the broader Solana ecosystem
    7. Ethical considerations and long-term sustainability issues
    8. Alternatives to pump strategies for genuine project growth

    Emphasize the high-risk nature and potential negative consequences of such strategies. This guide is for educational and awareness purposes only."""
    guide = get_bot_response(prompt)
    print(colored("Pump Strategy Educational Guide:", "blue"))
    print(guide)
    return {"type": "pump_guide", "token_type": token_type, "guide": guide}

def solana_ecosystem_explorer():
    print_header("Solana Ecosystem Explorer")
    category = input(colored("What category of Solana projects are you interested in (e.g., DeFi, NFTs, Gaming)? ", "cyan"))
    prompt = f"""Provide an in-depth exploration of the {category} sector within the Solana ecosystem. Include:
    1. Overview of the top projects in this category
    2. Unique features of Solana that benefit this sector
    3. Comparison with similar projects on other blockchains
    4. Recent developments and trends
    5. Potential growth areas and challenges
    6. Integration opportunities with other Solana projects
    7. Impact on Solana's overall adoption and usage
    8. Investment or participation opportunities for users

    Provide specific examples, metrics, and data points where possible."""
    exploration = get_bot_response(prompt)
    print(colored(f"Solana {category} Ecosystem Exploration:", "blue"))
    print(exploration)
    return {"type": "ecosystem_exploration", "category": category, "exploration": exploration}

def main():
    history = load_history()
    while True:
        print_header("Advanced Solana Trading and Analysis Bot")
        print(colored("1. Solana Market Analysis and Forecasting", "yellow"))
        print(colored("2. Generate Trading Strategy", "yellow"))
        print(colored("3. Analyze Solana DEX", "yellow"))
        print(colored("4. Pump Strategy Guide (Educational)", "yellow"))
        print(colored("5. Explore Solana Ecosystem", "yellow"))
        print(colored("6. View Conversation History", "yellow"))
        print(colored("7. Configure Bot", "yellow"))
        print(colored("8. Exit", "yellow"))
        
        choice = input(colored("Choose an option: ", "cyan"))
        
        if choice == '1':
            result = solana_market_analysis()
        elif choice == '2':
            result = trading_strategy_generator()
        elif choice == '3':
            result = dex_analysis()
        elif choice == '4':
            result = pump_strategy_guide()
        elif choice == '5':
            result = solana_ecosystem_explorer()
        elif choice == '6':
            print_header("Conversation History")
            for i, item in enumerate(history, 1):
                print(f"{i}. {item['type'].capitalize()}: {item.get('aspect') or item.get('strategy_type') or item.get('dex_name') or item.get('token_type') or item.get('category')}")
            continue
        elif choice == '7':
            config = load_config()
            config["api_key"] = input(colored("Enter your API key (press Enter to keep current): ", "cyan")) or config["api_key"]
            save_config(config)
            print(colored("Configuration updated.", "green"))
            continue
        elif choice == '8':
            print(colored("Goodbye!", "green"))
            break
        else:
            print(colored("Invalid choice, please try again.", "red"))
            continue
        
        history.append(result)
        save_history(history)

if __name__ == "__main__":
    main()