import asyncio import logging from typing import Dict, Any from functools import partial import warnings from flask import Flask, request, jsonify, render_template 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('/') def index(): return render_template('index.html') @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'}) @app.route('/chat', methods=['POST']) async def chat(): data = request.get_json() query = data.get('query') if query: response = await get_response(query) return jsonify({'response': response}) 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 as HypercornConfig hypercorn_config = HypercornConfig() hypercorn_config.bind = ["localhost:5000"] await serve(app, hypercorn_config) if __name__ == "__main__": asyncio.run(main())