app.py

import asyncio
import logging
from typing import Dict, Any
from functools import partial
import warnings

from flask import Flask, request, jsonify
from transformers import pipeline

# Suppress the FutureWarning
warnings.filterwarnings("ignore", category=FutureWarning)

logging.basicConfig(level=logging.INFO)

# Define core component classes
class Task:
    def __init__(self, task_name: str, input_data: Any, agent_name: str):
        self.task_name = task_name
        self.input_data = input_data
        self.agent_name = agent_name

class ModelManager:
    def __init__(self):
        self.model = None

    async def start(self):
        logging.info("Starting model.")
        await asyncio.sleep(1)  # Simulate loading time

    async def stop(self):
        logging.info("Unloading model.")

class CodeArchitect:
    def __init__(self, model_manager: ModelManager, model=None):
        self.model_manager = model_manager
        self.generator = model if model else pipeline("text-generation", model="gpt2")

    async def start(self):
        await self.model_manager.start()

    async def stop(self):
        await self.model_manager.stop()

    async def generate_code(self, text_input: str) -> str:
        response = self.generator(text_input, max_length=5000, num_return_sequences=1)[0]['generated_text']
        return response

class UIUXWizard:
    def __init__(self, model_manager: ModelManager, vector_store=None):
        self.model_manager = model_manager
        self.vector_store = vector_store
        self.conversation_chain = pipeline("text-generation", model="gpt2")

    async def start(self):
        await self.model_manager.start()

    async def stop(self):
        await self.model_manager.stop()

    def get_memory_response(self, query):
        if self.vector_store is None:
            return "No memory available."
        else:
            results = self.vector_store.similarity_search(query, k=3)
            return "\n".join(results)

    def get_conversation_response(self, query):
        response = self.conversation_chain(query, max_length=5000, num_return_sequences=1)[0]['generated_text']
        return response

# Define VersionControl class
class VersionControl:
    def __init__(self, system_name: str):
        self.system_name = system_name

    async def start(self):
        logging.info(f"Starting version control system: {self.system_name}")
        await asyncio.sleep(1)  # Simulate initialization time

    async def stop(self):
        logging.info(f"Stopping version control system: {self.system_name}")

# Define Documentation class
class Documentation:
    def __init__(self, system_name: str):
        self.system_name = system_name

    async def start(self):
        logging.info(f"Starting documentation system: {self.system_name}")
        await asyncio.sleep(1)  # Simulate initialization time

    async def stop(self):
        logging.info(f"Stopping documentation system: {self.system_name}")

class BuildAutomation:
    def __init__(self, system_name: str):
        self.system_name = system_name

    async def start(self):
        logging.info(f"Starting build automation system: {self.system_name}")
        await asyncio.sleep(1)  # Simulate initialization time

    async def stop(self):
        logging.info(f"Stopping build automation system: {self.system_name}")

# Define EliteDeveloperCluster class
class EliteDeveloperCluster:
    def __init__(self, config: Dict[str, Any], model):
        self.config = config
        self.model_manager = ModelManager()
        self.code_architect = CodeArchitect(self.model_manager, model)
        self.uiux_wizard = UIUXWizard(self.model_manager)
        self.version_control = VersionControl(config["version_control_system"])
        self.documentation = Documentation(config["documentation_system"])
        self.build_automation = BuildAutomation(config["build_automation_system"])
        self.task_queue = asyncio.Queue()

    async def start(self):
        await self.code_architect.start()
        await self.uiux_wizard.start()
        await self.version_control.start()
        await self.documentation.start()
        await self.build_automation.start()

    async def stop(self):
        await self.code_architect.stop()
        await self.uiux_wizard.stop()
        await self.version_control.stop()
        await self.documentation.stop()
        await self.build_automation.stop()

    async def process_task(self, task: Task):
        if task.task_name == "generate_code":
            response = await self.code_architect.generate_code(task.input_data)
            return response
        elif task.task_name == "get_memory_response":
            response = self.uiux_wizard.get_memory_response(task.input_data)
            return response
        elif task.task_name == "get_conversation_response":
            response = self.uiux_wizard.get_conversation_response(task.input_data)
            return response
        else:
            return f"Unknown task: {task.task_name}"

    async def process_tasks(self):
        while True:
            task = await self.task_queue.get()
            response = await self.process_task(task)
            logging.info(f"Processed task: {task.task_name} for agent: {task.agent_name}")
            self.task_queue.task_done()
            yield response

    def route_request(self, query: str) -> str:
        # TODO: Implement logic to determine the appropriate agent based on query
        # For now, assume all requests are for the UIUXWizard
        return self.uiux_wizard.get_conversation_response(query)

# Flask App for handling agent requests
app = Flask(__name__)

@app.route('/agent', methods=['POST'])
async def agent_request():
    data = request.get_json()
    if data.get('input_value'):
        # Process request from any agent (Agent 2, Agent 3, etc.)
        task = Task(f"Process request from {data.get('agent_name', 'unknown agent')}", data.get('input_value'), data.get('agent_name', 'unknown agent'))
        await cluster.task_queue.put(task)
        return jsonify({'response': 'Received input: from an agent, task added to queue.'})
    else:
        return jsonify({'response': 'Invalid input'})

# Chat Interface
async def get_response(query: str) -> str:
    return await cluster.route_request(query)

def response_streaming(text: str):
    try:
        for char in text:
            yield char
    except Exception as e:
        logging.error(f"Error in response streaming: {e}")
        yield "Error occurred while streaming the response."

class ChatApp:
    def __init__(self, cluster: EliteDeveloperCluster):
        self.cluster = cluster

    async def start(self):
        await self.cluster.start()

    async def stop(self):
        await self.cluster.stop()

    async def handle_request(self, query: str) -> str:
        response = await anext(self.cluster.process_tasks())
        return response

# Configuration
config = {
    "version_control_system": "Git",
    "testing_framework": "PyTest",
    "documentation_system": "Sphinx",
    "build_automation_system": "Jenkins",
    "redis_host": "localhost",
    "redis_port": 6379,
    "max_workers": 4,
}

async def main():
    global cluster
    # Initialize the cluster
    cluster = EliteDeveloperCluster(config, model=None)

    # Start the cluster
    await cluster.start()

    # Create a task for processing tasks
    asyncio.create_task(anext(cluster.process_tasks()))

    # Run Flask app
    from hypercorn.asyncio import serve
    from hypercorn.config import Config
    config = Config()
    config.bind = ["localhost:5000"]
    await serve(app, config)

if __name__ == "__main__":
    asyncio.run(main())