cli_script_allThreeModels.py

# -*- coding: utf-8 -*-
"""
ENGLISH PREMIER LEAGUE CHAMPION PREDICTION PROJECT

FINAL COMMAND LINE INTERFACE APPLICATION
"""

import os
import pandas as pd
import subprocess
import sys

# ✅ Ensure script runs from its own directory
script_dir = os.path.dirname(os.path.abspath(__file__))

# ✅ Path to Scripts
simulation_script_path = os.path.join(script_dir, "ModelScriptsForCLI/simulation_approach.py")
ml_script_path = os.path.join(script_dir, "ModelScriptsForCLI/ia_ml_approach.py")  # ML script
markov_script_path = os.path.join(script_dir, "ModelScriptsForCLI/markovchain_approach.py")  # Markov Chains script
dataset_path = os.path.join(script_dir, "Datasets/premier-league-matches.csv")

# ✅ Verify if scripts exist
ml_script_exists = os.path.exists(ml_script_path)
markov_script_exists = os.path.exists(markov_script_path)

# ✅ Load Dataset
df = pd.read_csv(dataset_path, encoding="utf-8")

# ✅ Get Unique Team Names
unique_teams = sorted(pd.concat([df["Home"], df["Away"]]).unique())

# ✅ Start Application
print(
    """
    ************************************************************
    *                                                          *
    *   🚀  WELCOME TO PremierPredict ⚽                        *
    *                                                          *
    ************************************************************

       🔹 Predict Premier League match outcomes
       🔹 Compare team performances
       🔹 Forecast season standings

       Powered by: Machine Learning, Markov Chains, and Simulation

    ****************************************************************
    """
)

# ✅ Function to Select Prediction Model
def select_model():
    while True:
        model_choice = input("Choose a prediction technique: \n1. Machine Learning (ML) \n2. Markov Chains \n3. Simulation \n\n").strip().lower()

        if model_choice in ["1", "ml"]:
            if not ml_script_exists:
                print("\n❌ ML script not found! Check 'ia_ml_approach.py'.")
                continue
            print("\n✅ Machine Learning Model Selected.")
            return "ml"

        elif model_choice in ["2", "markov chains"]:
            if not markov_script_exists:
                print("\n❌ Markov Chains script not found! Check 'markov_chains_approach.py'.")
                continue
            print("\n✅ Markov Chains Model Selected.")
            return "markov"

        elif model_choice in ["3", "simulation"]:
            print("\n✅ Simulation Model Selected.")
            return "simulation"

        else:
            print("\n❌ Invalid selection. Please enter 1, 2, or 3.")

# ✅ Function to Run Subprocess
def run_subprocess(args):
    """Runs a subprocess with proper error handling."""
    result = subprocess.run(args, capture_output=True, text=True, encoding="utf-8", shell=True)
    print(result.stdout)
    if result.stderr:
        print("\n⚠️ Error:\n", result.stderr)

# ✅ Select Model Initially
selected_model = select_model()

# ✅ Main Loop: Allow User to Analyze Multiple Teams & Switch Models
while True:
    # ✅ Print Team List
    title = "⚽ TEAM NAMES ⚽"
    num_columns = 3
    column_width = 25
    total_width = num_columns * column_width

    print("=" * total_width)
    print(title.center(total_width))
    print("=" * total_width)

    for i, team in enumerate(unique_teams, 1):
        print(f"{i:>2}. {team:<{column_width - 5}}", end="")
        if i % num_columns == 0:
            print()

    print("\n" + "=" * total_width)

    # ✅ User Selects Team
    while True:
        team_name = input("\nChoose a team from the list above whose statistics you are interested in: ").strip()

        if team_name in unique_teams:
            print(f"\n✅ Team Selected: {team_name}")
            break  # Exit loop if valid team
        else:
            print("\n❌ Invalid team selection. Please enter a valid team name.")

    # ✅ Inner Loop: Allow User to Analyze the Selected Team
    while True:
        # ✅ Show Analysis Options
        print("\nWhat would you like to analyze for this team?")
        print("1. Does the selected team have a higher chance of winning home or away?")
        print("2. Show who the selected team is versing next and who they versed previously.")
        print("3. Put the selected team against another team and see who is most likely to win.")
        print("4. Check who the winner will be at the end of the league and who will be 3rd, 4th, etc., up to 10.")

        user_choice = input("\nEnter your choice (1-4): ").strip()

        # ✅ Handle Each Option
        if user_choice == "1":
            print(f"\n🔍 Analyzing home vs. away performance for {team_name}...\n")

            if selected_model == "ml":
                run_subprocess([sys.executable, ml_script_path, team_name, "home_away"])
            elif selected_model == "markov":
                run_subprocess([sys.executable, markov_script_path, team_name, "home_away"])
            else:
                run_subprocess([sys.executable, simulation_script_path, team_name, "home_away"])

        elif user_choice == "2":
            print(f"\n🔍 Fetching previous and upcoming matches for {team_name}...\n")

            if selected_model == "ml":
                run_subprocess([sys.executable, ml_script_path, team_name, "matches"])
            elif selected_model == "markov":
                run_subprocess([sys.executable, markov_script_path, team_name, "matches"])
            else:
                run_subprocess([sys.executable, simulation_script_path, team_name, "matches"])

        elif user_choice == "3":
            while True:
                opponent_team = input("\nEnter the name of the opponent team: ").strip()
                if opponent_team in unique_teams:
                    break  # Valid opponent, continue
                print("\n❌ Invalid opponent selection. Please enter a valid team name.")

            print(f"\n🔍 Simulating match between {team_name} and {opponent_team}...\n")

            if selected_model == "ml":
                run_subprocess([sys.executable, ml_script_path, team_name, "head_to_head", opponent_team])
            elif selected_model == "markov":
                run_subprocess([sys.executable, markov_script_path, team_name, "head_to_head", opponent_team])
            else:
                run_subprocess([sys.executable, simulation_script_path, team_name, "head_to_head", opponent_team])

        elif user_choice == "4":
            print(f"\n🔍 Running full season simulation and predicting final standings...\n")

            if selected_model == "ml":
                run_subprocess([sys.executable, ml_script_path, team_name, "league_standings"])
            elif selected_model == "markov":
                run_subprocess([sys.executable, markov_script_path, team_name, "league_standings"])
            else:
                run_subprocess([sys.executable, simulation_script_path, team_name, "league_standings"])

        else:
            print("\n❌ Invalid choice. Please enter a valid option (1-4).")
            continue

        # ✅ Ask User What They Want to Do Next
        while True:
            next_action = input("\nWould you like to:\n1. View more statistics for this team\n2. Analyze another team\n3. Switch prediction model\n4. Exit\n\nEnter choice (1-4): ").strip()

            if next_action == "1":
                break  # Continue analyzing the same team

            elif next_action == "2":
                print("\n🔄 Switching teams...\n")
                break  # Exit to outer loop to select a new team

            elif next_action == "3":
                print("\n🔄 Switching prediction model...\n")
                selected_model = select_model()  # Let the user choose a new model
                break  # Stay in the loop, allowing a new team to be chosen

            elif next_action == "4":
                print("\n👋 Thank you for using PremierPredict! Goodbye!\n")
                sys.exit(0)  # Exit program completely

            else:
                print("\n❌ Invalid input. Please enter 1, 2, 3, or 4.")

        if next_action in ["2", "3"]:  # If user switched team or model, restart outer loop
            break