import asyncio import logging from typing import Dict, Any from functools import partial from flask import Flask, request, jsonify from langchain import PromptTemplate, LLMChain from langchain.llms import OpenAI from langchain.chains import ConversationChain from langchain.memory import ConversationBufferMemory from langchain.vectorstores import Chroma from langchain.embeddings import OpenAIEmbeddings from langchain.document_loaders import TextLoader 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 = ConversationChain( llm=OpenAI(temperature=0.7), memory=ConversationBufferMemory(), ) 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): return self.conversation_chain.run(query) # 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']) 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')) cluster.task_queue.put_nowait(task) return jsonify({'response': 'Received input: from an agent, task added to queue.'}) else: return jsonify({'response': 'Invalid input'}) # Chat Interface def get_response(query: str) -> str: return 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 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, } if __name__ == "__main__": # Initialize the cluster cluster = EliteDeveloperCluster(config, model=None) # Start the cluster and task processing loop asyncio.run(cluster.start()) asyncio.run(cluster.process_tasks()) # Run Flask app app.run(debug=True)