import os



GENERATED_DIR = os.path.join(os.path.dirname(__file__), "..", "generated_code")

FINAL_GAME_FILE = os.path.join(GENERATED_DIR, "game.py")



def assemble_game():

    # Imports for required files

    imports = [

        "import pygame",

        "from player import Player",

        "from physics import CollisionHandler",

        "from game_objects import Enemy, Coin",

        "from level import Level",

        "import sys"

    ]



    main_code = '''

def run_game():

    pygame.init()

    screen = pygame.display.set_mode((800, 600))

    pygame.display.set_caption("AI Generated Platformer")

    clock = pygame.time.Clock()



    level = Level()

    player = Player()

    collision_handler = CollisionHandler()



    enemies = [Enemy() for _ in range(3)]

    coins = [Coin() for _ in range(5)]



    score = 0

    running = True

    while running:

        for event in pygame.event.get():

            if event.type == pygame.QUIT:

                running = False

        

        keys = pygame.key.get_pressed()

        player.handle_input(keys)

        player.update()



        for enemy in enemies:

            enemy.update()

            if collision_handler.check_collision(player, enemy):

                print("Hit enemy! Resetting player.")

                player.reset_position()

        

        for coin in coins[:]:

            if collision_handler.check_collision(player, coin):

                score += 10

                coins.remove(coin)

        

        screen.fill((135, 206, 235))  # sky blue background

        level.draw(screen)

        for platform in level.platforms:

            platform.draw(screen)

        for enemy in enemies:

            enemy.draw(screen)

        for coin in coins:

            coin.draw(screen)

        player.draw(screen)



        # Draw score

        font = pygame.font.Font(None, 36)

        score_text = font.render("Score: " + str(score), True, (0, 0, 0))

        screen.blit(score_text, (10, 10))



        pygame.display.flip()

        clock.tick(60)



    pygame.quit()

    sys.exit()



if __name__ == "__main__":

    run_game()

    '''



    content = "\n".join(imports) + "\n" + main_code

    with open(FINAL_GAME_FILE, "w") as f:

        f.write(content)



    print(f"Game assembled at: {FINAL_GAME_FILE}")



if __name__ == "__main__":

    assemble_game()



_____________________________________



from orchestrator import generate_with_gpt

import os



SYSTEM_ROLE_TEMPLATE = (

    "You are a professional Pygame developer. "

    "You will write a complete, self-contained Python module for the {component} "

    "for a platformer game based on the following design:\n\n"

    "{design_doc}\n\n"

    "Requirements:\n"

    "- Respond only with the plain Python code; do NOT include any markdown, explanations, or code block wrappers.\n"

    "- Include all imports required by this module.\n"

    "- Define all classes and functions that this module uses or references; do NOT assume anything is defined elsewhere.\n"

    "- If a class or function logically belongs to another component, include a stub or base implementation here.\n"

    "- Use consistent and clear class and function names, matching across modules.\n"

    "- Write clean, modular, readable, and fully commented code.\n"

    "- Do NOT provide any text except the Python code.\n"

    "- Ensure the Import classes are must available in the files you generate.\n"

    "- The functions and classes which are called if they have parameters, it shold include parameters when it is called.\n" 

)



OUTPUT_DIR = os.path.join(os.path.dirname(__file__), "..", "generated_code")

os.makedirs(OUTPUT_DIR, exist_ok=True)



def generate_component(design_doc: str, component: str) -> str:

    prompt = SYSTEM_ROLE_TEMPLATE.format(component=component, design_doc=design_doc)

    code = generate_with_gpt(prompt, system_role=prompt)

    return code





def save_component(code: str, filename: str):

    path = os.path.join(OUTPUT_DIR, filename)

    with open(path, "w", encoding="utf-8") as f:

        f.write(code)

    print(f"Saved component {filename}")





if __name__ == "__main__":

    design_sample = """

    ## Game Elements

    - Player: Moves with arrow keys, jumps with SPACE

    - Enemies: Patrol platform, reset on collision

    - Coins: Collectible +10 points

    - Platforms: Static collidable surfaces



    ## Game Loop

    1. Render scene

    2. Process input

    3. Update positions

    4. Check collisions

    5. Update score

    """



    components = {

        "player.py": "player",

        "physics.py": "physics",

        "game_objects.py": "objects",

        "level.py": "levels"

    }



    for filename, component in components.items():

        code = generate_component(design_sample, component)

        save_component(code, filename)



__________________________________________



from orchestrator import generate_with_gpt



SYSTEM_ROLE = ("You are a game designer. "

               "Based on the structured requirements JSON, create a detailed game design document "

               "describing game elements, controls, mechanics, and a simplified game loop in markdown.")



def design_game(requirements_json: dict) -> str:

    import json

    prompt = json.dumps(requirements_json, indent=2)



    md_design = generate_with_gpt(prompt, SYSTEM_ROLE)

    return md_design





if __name__ == "__main__":

    sample_reqs = {

        "core_mechanics": ["platforming", "jumping", "collision"],

        "assets": ["player", "enemies", "coins", "platforms"],

        "rules": ["score system", "lives system"],

        "visuals": ["2D side-scroller"]

    }

    print(design_game(sample_reqs))



______________________________________



import os

from openai import AzureOpenAI



def create_client():

    api_key = "<TRUFFLEHOG_REDACTED_AZUREOPENAI>"  # set this in your environment

    endpoint = "https://openaichatgptdeployment.openai.azure.com/" # e.g. https://your-resource.openai.azure.com

    if not api_key or not endpoint:

        raise Exception("Set AZURE_OPENAI_API_KEY and AZURE_OPENAI_ENDPOINT environment variables.")

    client = AzureOpenAI(

        api_key=api_key,

        azure_endpoint=endpoint,

        api_version="2024-02-01"

    )

    return client



def generate_with_gpt(prompt: str, system_role: str, temperature: float = 0.3) -> str:

    """

    Generate a completion from Azure OpenAI GPT model.

    """

    client = create_client()

    response = client.chat.completions.create(

        model="gpt-4o",

        messages=[

            {"role": "system", "content": system_role},

            {"role": "user", "content": prompt}

        ],

        temperature=temperature

    )

    return response.choices[0].message.content



_________________________________________



import re

import json

from orchestrator import generate_with_gpt



SYSTEM_ROLE = (

    "You are a game requirements analyzer. "

    "Given a user request to create a game, extract core mechanics, assets, rules, and visuals as a JSON. "

    "Respond only with a JSON object, no extra explanations or markdown."

)



def extract_json_from_response(response: str) -> str:

    """

    Extract JSON string from LLM response containing markdown code block or plain JSON.

    """

    # Try to extract JSON inside ```json ... ``` block

    pattern = r"```json\s*(\{.*?\})\s*```"

    match = re.search(pattern, response, re.DOTALL)

    if match:

        return match.group(1)



    # If no markdown block, try to find JSON object from first '{' to last '}'

    start = response.find("{")

    end = response.rfind("}")

    if start != -1 and end != -1 and start < end:

        return response[start:end + 1]



    raise ValueError("No JSON content found in the response.")



def analyze_requirements(user_input: str) -> dict:

    response = generate_with_gpt(user_input, SYSTEM_ROLE)

    # Debug print the response to help troubleshoot if needed

    print("GPT Response for Requirements:\n", response)



    json_str = extract_json_from_response(response)



    try:

        requirements = json.loads(json_str)

    except Exception as e:

        raise ValueError(f"Failed to parse requirements JSON: {e}\nResponse was: {response}")



    return requirements



if __name__ == "__main__":

    user_req = "Create a Mario-like platformer game."

    reqs = analyze_requirements(user_req)

    print(json.dumps(reqs, indent=2))



____________________________________



def generate_streamlit_wrapper() -> str:

    code = '''

import streamlit as st

import sys

import os



# Adjust the path to include the generated_code directory

sys.path.append(os.path.join(os.path.dirname(__file__), "generated_code"))



import game  # The assembled game module



st.title("AI-Generated Mario-like Platformer")



if st.button("Start Game"):

    st.write("Launching game window...")

    game.run_game()

    '''



    return code



def save_streamlit_wrapper():

    with open("streamlit_app.py", "w", encoding="utf-8") as f:

        f.write(generate_streamlit_wrapper())

    print("Saved Streamlit wrapper as streamlit_app.py")



if __name__ == "__main__":

    save_streamlit_wrapper()



these code is getting the code but not genrating any asset how i can heve it also the code genrated is missing the imprt function from the file it is imprted like an example like in gaem.py it imprted collision from physics file but it doesnot have any collision class or function 



also asset folder is not preparing give me correct code