diff --git a/assets/gpt_dark_RGB.icns b/assets/gpt_dark_RGB.icns new file mode 100644 index 0000000000..c2efadc4e9 Binary files /dev/null and b/assets/gpt_dark_RGB.icns differ diff --git a/assets/gpt_dark_RGB.ico b/assets/gpt_dark_RGB.ico new file mode 100644 index 0000000000..3fc58e36fc Binary files /dev/null and b/assets/gpt_dark_RGB.ico differ diff --git a/autogpt/autogpt/agents/agent.py b/autogpt/autogpt/agents/agent.py index 43dab9e8a6..5745a6c470 100644 --- a/autogpt/autogpt/agents/agent.py +++ b/autogpt/autogpt/agents/agent.py @@ -2,7 +2,6 @@ from __future__ import annotations import inspect import logging -from datetime import datetime from typing import TYPE_CHECKING, Any, ClassVar, Optional import sentry_sdk @@ -55,13 +54,6 @@ from forge.utils.exceptions import ( ) from pydantic import Field -from autogpt.app.log_cycle import ( - CURRENT_CONTEXT_FILE_NAME, - NEXT_ACTION_FILE_NAME, - USER_INPUT_FILE_NAME, - LogCycleHandler, -) - from .prompt_strategies.code_flow import CodeFlowAgentPromptStrategy from .prompt_strategies.one_shot import ( OneShotAgentActionProposal, @@ -147,12 +139,6 @@ class Agent(BaseAgent[OneShotAgentActionProposal], Configurable[AgentSettings]): ) self.code_flow_executor = CodeFlowExecutionComponent() - self.created_at = datetime.now().strftime("%Y%m%d_%H%M%S") - """Timestamp the agent was created; only used for structured debug logging.""" - - self.log_cycle_handler = LogCycleHandler() - """LogCycleHandler for structured debug logging.""" - self.event_history = settings.history self.legacy_config = legacy_config @@ -191,15 +177,6 @@ class Agent(BaseAgent[OneShotAgentActionProposal], Configurable[AgentSettings]): include_os_info=self.legacy_config.execute_local_commands, ) - self.log_cycle_handler.log_count_within_cycle = 0 - self.log_cycle_handler.log_cycle( - self.state.ai_profile.ai_name, - self.created_at, - self.config.cycle_count, - prompt.raw(), - CURRENT_CONTEXT_FILE_NAME, - ) - logger.debug(f"Executing prompt:\n{dump_prompt(prompt)}") output = await self.complete_and_parse(prompt) self.config.cycle_count += 1 @@ -223,14 +200,6 @@ class Agent(BaseAgent[OneShotAgentActionProposal], Configurable[AgentSettings]): ) result = response.parsed_result - self.log_cycle_handler.log_cycle( - self.state.ai_profile.ai_name, - self.created_at, - self.config.cycle_count, - result.thoughts.dict(), - NEXT_ACTION_FILE_NAME, - ) - await self.run_pipeline(AfterParse.after_parse, result) return result @@ -275,13 +244,6 @@ class Agent(BaseAgent[OneShotAgentActionProposal], Configurable[AgentSettings]): self, denied_proposal: OneShotAgentActionProposal, user_feedback: str ) -> ActionResult: result = ActionInterruptedByHuman(feedback=user_feedback) - self.log_cycle_handler.log_cycle( - self.state.ai_profile.ai_name, - self.created_at, - self.config.cycle_count, - user_feedback, - USER_INPUT_FILE_NAME, - ) await self.run_pipeline(AfterExecute.after_execute, result) diff --git a/autogpt/autogpt/app/log_cycle.py b/autogpt/autogpt/app/log_cycle.py deleted file mode 100644 index ea4e140295..0000000000 --- a/autogpt/autogpt/app/log_cycle.py +++ /dev/null @@ -1,81 +0,0 @@ -import json -import os -from pathlib import Path -from typing import Any, Dict, Union - -from forge.logging.config import LOG_DIR - -DEFAULT_PREFIX = "agent" -CURRENT_CONTEXT_FILE_NAME = "current_context.json" -NEXT_ACTION_FILE_NAME = "next_action.json" -PROMPT_SUMMARY_FILE_NAME = "prompt_summary.json" -SUMMARY_FILE_NAME = "summary.txt" -SUPERVISOR_FEEDBACK_FILE_NAME = "supervisor_feedback.txt" -PROMPT_SUPERVISOR_FEEDBACK_FILE_NAME = "prompt_supervisor_feedback.json" -USER_INPUT_FILE_NAME = "user_input.txt" - - -class LogCycleHandler: - """ - A class for logging cycle data. - """ - - def __init__(self): - self.log_count_within_cycle = 0 - - def create_outer_directory(self, ai_name: str, created_at: str) -> Path: - if os.environ.get("OVERWRITE_DEBUG") == "1": - outer_folder_name = "auto_gpt" - else: - ai_name_short = self.get_agent_short_name(ai_name) - outer_folder_name = f"{created_at}_{ai_name_short}" - - outer_folder_path = LOG_DIR / "DEBUG" / outer_folder_name - if not outer_folder_path.exists(): - outer_folder_path.mkdir(parents=True) - - return outer_folder_path - - def get_agent_short_name(self, ai_name: str) -> str: - return ai_name[:15].rstrip() if ai_name else DEFAULT_PREFIX - - def create_inner_directory(self, outer_folder_path: Path, cycle_count: int) -> Path: - nested_folder_name = str(cycle_count).zfill(3) - nested_folder_path = outer_folder_path / nested_folder_name - if not nested_folder_path.exists(): - nested_folder_path.mkdir() - - return nested_folder_path - - def create_nested_directory( - self, ai_name: str, created_at: str, cycle_count: int - ) -> Path: - outer_folder_path = self.create_outer_directory(ai_name, created_at) - nested_folder_path = self.create_inner_directory(outer_folder_path, cycle_count) - - return nested_folder_path - - def log_cycle( - self, - ai_name: str, - created_at: str, - cycle_count: int, - data: Union[Dict[str, Any], Any], - file_name: str, - ) -> None: - """ - Log cycle data to a JSON file. - - Args: - data (Any): The data to be logged. - file_name (str): The name of the file to save the logged data. - """ - cycle_log_dir = self.create_nested_directory(ai_name, created_at, cycle_count) - - json_data = json.dumps(data, ensure_ascii=False, indent=4) - log_file_path = cycle_log_dir / f"{self.log_count_within_cycle}_{file_name}" - - with open(log_file_path, "w", encoding="utf-8") as f: - f.write(json_data + "\n") - - self.log_count_within_cycle += 1 diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock index 67fed38824..f67bf1db87 100644 --- a/autogpt/poetry.lock +++ b/autogpt/poetry.lock @@ -359,7 +359,7 @@ watchdog = "4.0.0" webdriver-manager = "^4.0.1" [package.extras] -benchmark = ["agbenchmark @ file:///home/reinier/code/agpt/Auto-GPT/benchmark"] +benchmark = ["agbenchmark @ 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0000000000..26452b1c14 --- /dev/null +++ b/rnd/autogpt_server/.gitignore @@ -0,0 +1,3 @@ +database.db +database.db-journal +build/ \ No newline at end of file diff --git a/rnd/autogpt_server/autogpt_server/agent_api/__init__.py b/rnd/autogpt_server/autogpt_server/agent_api/__init__.py deleted file mode 100644 index 1ea8dc278e..0000000000 --- a/rnd/autogpt_server/autogpt_server/agent_api/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .server import start_server # noqa diff --git a/rnd/autogpt_server/autogpt_server/agent_executor/__init__.py b/rnd/autogpt_server/autogpt_server/agent_executor/__init__.py deleted file mode 100644 index e79245e20f..0000000000 --- a/rnd/autogpt_server/autogpt_server/agent_executor/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .executor import start_executors # noqa diff --git a/rnd/autogpt_server/autogpt_server/agent_executor/executor.py b/rnd/autogpt_server/autogpt_server/agent_executor/executor.py deleted file mode 100644 index d5daed5ee7..0000000000 --- a/rnd/autogpt_server/autogpt_server/agent_executor/executor.py +++ /dev/null @@ -1,42 +0,0 @@ -import logging -import time -from concurrent.futures import ThreadPoolExecutor -from multiprocessing import Process - -from autogpt_server.data import ExecutionQueue - -logger = logging.getLogger(__name__) - - -class AgentExecutor: - # TODO: Replace this by an actual Agent Execution. - def __execute(id: str, data: str) -> None: - logger.warning(f"Executor processing started, execution_id: {id}, data: {data}") - for i in range(5): - logger.warning( - f"Executor processing step {i}, execution_id: {id}, data: {data}" - ) - time.sleep(1) - logger.warning( - f"Executor processing completed, execution_id: {id}, data: {data}" - ) - - def start_executor(pool_size: int, queue: ExecutionQueue) -> None: - with ThreadPoolExecutor(max_workers=pool_size) as executor: - while True: - execution = queue.get() - if not execution: - time.sleep(1) - continue - executor.submit( - AgentExecutor.__execute, - execution.execution_id, - execution.data, - ) - - -def start_executors(pool_size: int, queue: ExecutionQueue) -> None: - executor_process = Process( - target=AgentExecutor.start_executor, args=(pool_size, queue) - ) - executor_process.start() diff --git a/rnd/autogpt_server/autogpt_server/app.py b/rnd/autogpt_server/autogpt_server/app.py index 5b8bf81d7b..d836dd0b5b 100644 --- a/rnd/autogpt_server/autogpt_server/app.py +++ b/rnd/autogpt_server/autogpt_server/app.py @@ -1,13 +1,22 @@ -from autogpt_server.agent_api import start_server -from autogpt_server.agent_executor import start_executors +from multiprocessing import freeze_support +from multiprocessing.spawn import freeze_support as freeze_support_spawn + from autogpt_server.data import ExecutionQueue +from autogpt_server.executor import start_executor_manager +from autogpt_server.server import start_server def main() -> None: queue = ExecutionQueue() - start_executors(5, queue) + start_executor_manager(5, queue) start_server(queue) if __name__ == "__main__": + # These directives are required to make multiprocessing work with cx_Freeze + # and are both required and safe across platforms (Windows, macOS, Linux) + # They must be placed at the beginning of the executions before any other + # multiprocessing code is run + freeze_support() + freeze_support_spawn() main() diff --git a/rnd/autogpt_server/autogpt_server/data.py b/rnd/autogpt_server/autogpt_server/data.py index 5fbc184c09..87d332451e 100644 --- a/rnd/autogpt_server/autogpt_server/data.py +++ b/rnd/autogpt_server/autogpt_server/data.py @@ -22,7 +22,7 @@ class ExecutionQueue: """ def __init__(self): - self.queue = Queue() + self.queue: Queue[Execution] = Queue() def add(self, data: str) -> str: execution_id = uuid.uuid4() diff --git a/rnd/autogpt_server/autogpt_server/executor/__init__.py b/rnd/autogpt_server/autogpt_server/executor/__init__.py new file mode 100644 index 0000000000..15c23958a9 --- /dev/null +++ b/rnd/autogpt_server/autogpt_server/executor/__init__.py @@ -0,0 +1 @@ +from .executor import start_executor_manager # type: ignore # noqa diff --git a/rnd/autogpt_server/autogpt_server/executor/executor.py b/rnd/autogpt_server/autogpt_server/executor/executor.py new file mode 100644 index 0000000000..c64ff2cb9c --- /dev/null +++ b/rnd/autogpt_server/autogpt_server/executor/executor.py @@ -0,0 +1,38 @@ +import logging +import time +from concurrent.futures import ThreadPoolExecutor +from multiprocessing import Process + +from autogpt_server.data import Execution, ExecutionQueue + +logger = logging.getLogger(__name__) + + +# TODO: Replace this by an actual Agent Execution. +def execute_node(id: str, data: str) -> None: + logger.warning(f"Executor processing started, execution_id: {id}, data: {data}") + for i in range(5): + logger.warning( + f"Executor processing step {i}, execution_id: {id}, data: {data}" + ) + time.sleep(1) + logger.warning(f"Executor processing completed, execution_id: {id}, data: {data}") + + +def start_executor(pool_size: int, queue: ExecutionQueue) -> None: + with ThreadPoolExecutor(max_workers=pool_size) as executor: + while True: + execution: Execution | None = queue.get() + if not execution: + time.sleep(1) + continue + executor.submit( + execute_node, + execution.execution_id, + execution.data, + ) # type: ignore + + +def start_executor_manager(pool_size: int, queue: ExecutionQueue) -> None: + executor_process = Process(target=start_executor, args=(pool_size, queue)) + executor_process.start() diff --git a/rnd/autogpt_server/autogpt_server/server/__init__.py b/rnd/autogpt_server/autogpt_server/server/__init__.py new file mode 100644 index 0000000000..cc9d9bb566 --- /dev/null +++ b/rnd/autogpt_server/autogpt_server/server/__init__.py @@ -0,0 +1 @@ +from .server import start_server # type: ignore # noqa diff --git a/rnd/autogpt_server/autogpt_server/agent_api/server.py b/rnd/autogpt_server/autogpt_server/server/server.py similarity index 96% 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"d999a99c717019087f238f4f1aeb89b1671a77e53f175108bf91fb85ac0be657" diff --git a/rnd/autogpt_server/pyproject.toml b/rnd/autogpt_server/pyproject.toml index ced6a692a8..bcf7b49140 100644 --- a/rnd/autogpt_server/pyproject.toml +++ b/rnd/autogpt_server/pyproject.toml @@ -1,22 +1,59 @@ [tool.poetry] name = "autogpt_server" version = "0.1.0" -description = "" -authors = ["SwiftyOS "] +description = "An Agentic Experience" +authors = [ + "SwiftyOS ", + "Nicholas Tindle ", +] readme = "README.md" [tool.poetry.dependencies] python = "^3.10" click = "^8.1.7" -pydantic = "^2.7.1" +pydantic = "^2.7.2" +prisma = "^0.13.1" pytest = "^8.2.1" -uvicorn = "^0.30.1" -fastapi = "^0.111.0" +uvicorn = { extras = ["standard"], version = "^0.30.1" } +fastapi = "^0.109.0" +[tool.poetry.group.dev.dependencies] +cx-freeze = "7.0.0" +poethepoet = "^0.26.1" +httpx = "^0.27.0" + [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" [tool.poetry.scripts] app = "autogpt_server.app:main" + +# https://poethepoet.natn.io/index.html +[tool.poe] +poetry_command = "" + +# poetry run poe xxx +[tool.poe.tasks] +test = "pytest" +build = ["test", "_dbuild"] + +# This might break your python install :) +install = ["build", "_dinstall"] + +# https://cx-freeze.readthedocs.io/en/stable/index.html +[tool.poe.tasks._dbuild] +cmd = "python setup.py build" + +[tool.poe.tasks.dist_mac] +cmd = "python setup.py bdist_mac" + +[tool.poe.tasks.dist_dmg] +cmd = "python setup.py bdist_dmg" + +[tool.poe.tasks.dist_msi] +cmd = "python setup.py bdist_msi" + +[tool.poe.tasks._dinstall] +cmd = "python setup.py install" diff --git a/rnd/autogpt_server/schema.prisma b/rnd/autogpt_server/schema.prisma new file mode 100644 index 0000000000..fefe23ff37 --- /dev/null +++ b/rnd/autogpt_server/schema.prisma @@ -0,0 +1,124 @@ +datasource db { + provider = "sqlite" + url = "file:./database.db" +} + +generator client { + provider = "prisma-client-py" + recursive_type_depth = 5 + interface = "asyncio" +} + +// This model describes the Agent Graph/Flow (Multi Agent System). +model AgentGraph { + id String @id + name String? + description String? + + startingAgentNodeId String + StartingAgentNode AgentNode @relation("AgentGraphRoot", fields: [startingAgentNodeId], references: [id]) + + AgentNodes AgentNode[] @relation("AgentGraphNodes") +} + +// This model describes a single node in the Agent Graph/Flow (Multi Agent System). +model AgentNode { + id String @id + + agentBlockId String + AgentBlock AgentBlock @relation(fields: [agentBlockId], references: [id]) + + agentGraphId String + AgentGraph AgentGraph @relation("AgentGraphNodes", fields: [agentGraphId], references: [id]) + + // List of consumed input, that the parent node should provide. + Input AgentNodeLink[] @relation("AgentNodeInput") + + // List of produced output, that the child node should be executed. + Output AgentNodeLink[] @relation("AgentNodeOutput") + + ExecutionHistory AgentNodeExecution[] + + // Prisma requires explicit back-references. + ReferencedByAgentGraphAsRoot AgentGraph[] @relation("AgentGraphRoot") +} + +// This model describes the link between two AgentNodes. +model AgentNodeLink { + id String @id + + agentNodeInputId String + AgentNodeInput AgentNode @relation("AgentNodeOutput", fields: [agentNodeInputId], references: [id]) // Output of the node is the input of the link. + agentNodeInputSchemaId String + AgentNodeInputSchema AgentBlockInputOutput @relation("AgentNodeInputSchema", fields: [agentNodeInputSchemaId], references: [id]) + + agentNodeOutputId String + AgentNodeOutput AgentNode @relation("AgentNodeInput", fields: [agentNodeOutputId], references: [id]) // Input of the node is the output of the link. + agentNodeOutputSchemaId String + AgentNodeOutputSchema AgentBlockInputOutput @relation("AgentNodeOutputSchema", fields: [agentNodeOutputSchemaId], references: [id]) +} + +// This model describes a component that will be executed by the AgentNode. +model AgentBlock { + id String @id + name String @unique + + // We allow a block to have multiple types of output. + Input AgentBlockInputOutput[] @relation("AgentBlockInput") + Output AgentBlockInputOutput[] @relation("AgentBlockOutput") + + // Prisma requires explicit back-references. + ReferencedByAgentNode AgentNode[] +} + +// This model describes the output (produced event) or input (consumed event) of an AgentBlock. +model AgentBlockInputOutput { + id String @id + name String + schema String + description String + + // Prisma requires explicit back-references. + ReferencedByAgentBlockInput AgentBlock[] @relation("AgentBlockInput") + ReferencedByAgentBlockOutput AgentBlock[] @relation("AgentBlockOutput") + ReferencedByAgentNodeLinkAsInput AgentNodeLink[] @relation("AgentNodeInputSchema") + ReferencedByAgentNodeLinkAsOutput AgentNodeLink[] @relation("AgentNodeOutputSchema") + ReferencedByAgentNodeExecution AgentNodeExecution[] +} + +// This model describes the execution of an AgentNode. +model AgentNodeExecution { + id String @id + + agentNodeId String + AgentNode AgentNode @relation(fields: [agentNodeId], references: [id]) + + inputData String + inputFiles FileDefinition[] @relation("InputFiles") + outputData String + outputFiles FileDefinition[] @relation("OutputFiles") + outputTypeId String? + outputType AgentBlockInputOutput? @relation(fields: [outputTypeId], references: [id]) + + // sqlite does not support enum + // enum Status { STARTED, RUNNING, SUCCESS, FAILED } + executionStatus String + + // JSON serialized object of the execution state: information required to resume the execution. + executionStateData String +} + +// This model describes a file that can be used as input/output of an AgentNodeExecution. +model FileDefinition { + id String @id + path String + metadata String? // JSON serialized object + mimeType String? + size Int? + hash String? + encoding String? + + // Prisma requires explicit back-references. + ReferencedByInputFiles AgentNodeExecution[] @relation("InputFiles") + ReferencedByOutputFiles AgentNodeExecution[] @relation("OutputFiles") +} diff --git a/rnd/autogpt_server/setup.py b/rnd/autogpt_server/setup.py new file mode 100644 index 0000000000..8ac00b14a3 --- /dev/null +++ b/rnd/autogpt_server/setup.py @@ -0,0 +1,56 @@ +from pkgutil import iter_modules +from shutil import which + +from cx_Freeze import Executable, setup + +packages = [ + m.name + for m in iter_modules() + if m.ispkg and m.module_finder and "poetry" in m.module_finder.path # type: ignore +] +packages.append("collections") + +# if mac use the icns file, otherwise use the ico file +icon = ( + "../../assets/gpt_dark_RGB.icns" + if which("sips") + else "../../assets/gpt_dark_RGB.ico" +) + +setup( + name="AutoGPT Server", + url="https://agpt.co", + executables=[ + Executable( + "autogpt_server/app.py", target_name="server", base="console", icon=icon + ), + ], + options={ + "build_exe": { + "packages": packages, + "includes": [ + "autogpt_server", + "uvicorn.loops.auto", + "uvicorn.protocols.http.auto", + "uvicorn.protocols.websockets.auto", + "uvicorn.lifespan.on", + ], + "excludes": ["readability.compat.two"], + }, + "bdist_mac": { + "bundle_name": "AutoGPT", + "iconfile": "../../assets/gpt_dark_RGB.icns", + # "include_resources": ["IMG_3775.jpeg"], + }, + "bdist_dmg": { + "applications_shortcut": True, + "volume_label": "AutoGPT Server", + }, + "bdist_msi": { + "target_name": "AutoGPTServer", + "add_to_path": True, + "install_icon": "../../assets/gpt_dark_RGB.ico", + }, + "bdist_appimage": {}, + }, +) diff --git a/rnd/autogpt_server/test/test_app.py b/rnd/autogpt_server/test/test_app.py index 2707d07668..83ed5def0b 100644 --- a/rnd/autogpt_server/test/test_app.py +++ b/rnd/autogpt_server/test/test_app.py @@ -1,19 +1,19 @@ import pytest +from fastapi.testclient import TestClient from autogpt_server.data import ExecutionQueue -from autogpt_server.agent_api import start_server -from autogpt_server.agent_executor import start_executors -from fastapi.testclient import TestClient +from autogpt_server.executor import start_executor_manager +from autogpt_server.server import start_server @pytest.fixture def client(): execution_queue = ExecutionQueue() - start_executors(5, execution_queue) + start_executor_manager(5, execution_queue) return TestClient(start_server(execution_queue, use_uvicorn=False)) -def test_execute_agent(client): +def test_execute_agent(client: TestClient): # Assert API is working response = client.post("/agents/dummy_agent_1/execute") assert response.status_code == 200 diff --git a/rnd/nextgenautogpt/README.md b/rnd/nextgenautogpt/README.md deleted file mode 100644 index 5104b2f44b..0000000000 --- a/rnd/nextgenautogpt/README.md +++ /dev/null @@ -1,27 +0,0 @@ -# Next Gen AutoGPT - -This is a research project into creating the next generation of autogpt, which is an autogpt agent server. - -It will come with the AutoGPT Agent as the default agent - - -## Project Outline - -``` -. -├── READEME.md -├── nextgenautogpt -│ ├── __init__.py -│ ├── __main__.py -│ ├── cli.py # The CLI tool for running the system -│ ├── executor # The Component Executor Process -│ │ └── __init__.py -│ ├── manager # The Agent Manager it manages a pool of executors and schedules components to run -│ │ └── __init__.py -│ └── server # The main application. It includes the api server and additional modules -│ └── __init__.py -└── pyproject.toml -``` - - - diff --git a/rnd/nextgenautogpt/nextgenautogpt/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/rnd/nextgenautogpt/nextgenautogpt/__main__.py b/rnd/nextgenautogpt/nextgenautogpt/__main__.py deleted file mode 100644 index d529530585..0000000000 --- a/rnd/nextgenautogpt/nextgenautogpt/__main__.py +++ /dev/null @@ -1,39 +0,0 @@ -import multiprocessing as mp -from typing import Any - -import nextgenautogpt.manager.manager as mod_manager -import nextgenautogpt.server.server as mod_server - - -def main() -> None: - # Create queues/pipes for communication - server_to_manager: mp.Queue[Any] = mp.Queue() - manager_to_server: mp.Queue[Any] = mp.Queue() - - # Create and start server process - server: mp.Process = mp.Process( - target=mod_server.run_server, - args=( - server_to_manager, - manager_to_server, - ), - ) - server.start() - - # Create and start manager process - manager: mp.Process = mp.Process( - target=mod_manager.run_manager, - args=( - server_to_manager, - manager_to_server, - ), - ) - manager.start() - - server.join() - manager.join() - - -if __name__ == "__main__": - mp.set_start_method("spawn") - main() diff --git a/rnd/nextgenautogpt/nextgenautogpt/cli.py b/rnd/nextgenautogpt/nextgenautogpt/cli.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/rnd/nextgenautogpt/nextgenautogpt/executor/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/executor/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/rnd/nextgenautogpt/nextgenautogpt/executor/executor.py b/rnd/nextgenautogpt/nextgenautogpt/executor/executor.py deleted file mode 100644 index 73c63bb56b..0000000000 --- a/rnd/nextgenautogpt/nextgenautogpt/executor/executor.py +++ /dev/null @@ -1,15 +0,0 @@ -import multiprocessing as mp -import time -from typing import Any - - -def run_executor(manager_to_executor: mp.Queue, executors_to_manager: mp.Queue) -> None: - # Each executor process will run this initializer - print("Executor process started") - while True: - if not manager_to_executor.empty(): - task = manager_to_executor.get() - print(f"Executor processing: {task}") - executors_to_manager.put("Task completed") - # Simulate executor work - time.sleep(1) diff --git a/rnd/nextgenautogpt/nextgenautogpt/manager/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/manager/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/rnd/nextgenautogpt/nextgenautogpt/manager/manager.py b/rnd/nextgenautogpt/nextgenautogpt/manager/manager.py deleted file mode 100644 index e18326e8cc..0000000000 --- a/rnd/nextgenautogpt/nextgenautogpt/manager/manager.py +++ /dev/null @@ -1,33 +0,0 @@ -import multiprocessing as mp -import time - -import nextgenautogpt.executor.executor as mod_executor - - -def run_manager(server_to_manager: mp.Queue, manager_to_server: mp.Queue) -> None: - # Create queue for communication between manager and executors - print("Manager process started") - manager_to_executor = mp.Queue() - executors_to_manager = mp.Queue() - # Create and start a pool of executor processes - with mp.Pool( - processes=5, - initializer=mod_executor.run_executor, - initargs=( - manager_to_executor, - executors_to_manager, - ), - ): - while True: - if not server_to_manager.empty(): - message = server_to_manager.get() - print(f"Manager received: {message}") - manager_to_server.put("Manager: Received message from server") - manager_to_executor.put("Task for executor") - # Simulate manager work - time.sleep(1) - if not executors_to_manager.empty(): - message = executors_to_manager.get() - print(f"Manager received: {message}") - # Simulate manager work - time.sleep(1) diff --git a/rnd/nextgenautogpt/nextgenautogpt/server/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/server/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/rnd/nextgenautogpt/nextgenautogpt/server/server.py b/rnd/nextgenautogpt/nextgenautogpt/server/server.py deleted file mode 100644 index 23ead8ea2c..0000000000 --- a/rnd/nextgenautogpt/nextgenautogpt/server/server.py +++ /dev/null @@ -1,17 +0,0 @@ -import multiprocessing as mp -import time -from typing import Any - 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