From e75b09889d1d6fbe037debb9f20e5cb7f5176d17 Mon Sep 17 00:00:00 2001 From: "Richard S. Franklin" Date: Sun, 22 Dec 2024 20:23:50 -0800 Subject: [PATCH] Supporting multiple connections (#125) * Simplifying and fixing multiple client connections --- graphbook/__init__.py | 12 +- graphbook/clients.py | 105 ++-- graphbook/logger.py | 61 -- graphbook/processing/web_processor.py | 132 ++-- graphbook/state.py | 8 +- graphbook/steps/__init__.py | 4 +- graphbook/steps/base.py | 62 +- graphbook/utils.py | 49 +- graphbook/viewer.py | 28 +- graphbook/web.py | 41 +- poetry.lock | 851 +++++++++++++------------- pyproject.toml | 2 +- web/src/components/TopPanel.tsx | 3 + 13 files changed, 653 insertions(+), 705 deletions(-) delete mode 100644 graphbook/logger.py diff --git a/graphbook/__init__.py b/graphbook/__init__.py index 14fb2eb..fcfcbe4 100644 --- a/graphbook/__init__.py +++ b/graphbook/__init__.py @@ -1,4 +1,14 @@ from .note import Note from .decorators import step, param, source, output, batch, resource, event, prompt -__all__ = ["step", "param", "source", "output", "batch", "resource", "event", "prompt", "Note"] +__all__ = [ + "step", + "param", + "source", + "output", + "batch", + "resource", + "event", + "prompt", + "Note", +] diff --git a/graphbook/clients.py b/graphbook/clients.py index 63ed3e7..0848349 100644 --- a/graphbook/clients.py +++ b/graphbook/clients.py @@ -1,8 +1,7 @@ -from typing import Dict +from typing import List, Dict import uuid from aiohttp.web import WebSocketResponse from .processing.web_processor import WebInstanceProcessor -from .utils import ProcessorStateRequest from .nodes import NodeHub from .viewer import ViewManager import tempfile @@ -25,7 +24,6 @@ def __init__( node_hub: NodeHub, view_manager: ViewManager, setup_paths: dict, - options: dict = DEFAULT_CLIENT_OPTIONS, ): self.sid = sid self.ws = ws @@ -35,8 +33,7 @@ def __init__( self.root_path = Path(setup_paths["workflow_dir"]) self.docs_path = Path(setup_paths["docs_path"]) self.custom_nodes_path = Path(setup_paths["custom_nodes_path"]) - self.options = options - self.curr_task = None + self.close_event = asyncio.Event() def get_root_path(self) -> Path: return self.root_path @@ -59,31 +56,17 @@ def resource_doc(self, name): def exec(self, req: dict): self.processor.exec(req) - def poll(self, cmd: ProcessorStateRequest, data: dict = None): - res = self.processor.poll_client( - cmd, - data, - ) - return res + def get_processor(self) -> WebInstanceProcessor: + return self.processor - async def _loop(self): - while True: - await asyncio.sleep(self.options["SEND_EVERY"]) - current_view_data = self.view_manager.get_current_view_data() - current_states = self.view_manager.get_current_states() - all_data = [*current_view_data, *current_states] - await asyncio.gather(*[self.ws.send_json(data) for data in all_data]) + def get_view_manager(self) -> ViewManager: + return self.view_manager - def start(self): - loop = asyncio.get_event_loop() - self.curr_task = loop.create_task(self._loop()) + def get_node_hub(self) -> NodeHub: + return self.node_hub async def close(self): - if self.curr_task is not None: - self.curr_task.cancel() await self.ws.close() - self.processor.close() - self.node_hub.stop() class ClientPool: @@ -95,6 +78,7 @@ def __init__( isolate_users: bool, no_sample: bool, close_event: mp.Event, + options: dict = DEFAULT_CLIENT_OPTIONS, ): self.clients: Dict[str, Client] = {} self.tmpdirs: Dict[str, str] = {} @@ -104,10 +88,12 @@ def __init__( self.shared_execution = not isolate_users self.no_sample = no_sample self.close_event = close_event + self.options = options if self.shared_execution: self.shared_resources = self._create_resources( web_processor_args, setup_paths ) + self.curr_task = None def _create_resources(self, web_processor_args: dict, setup_paths: dict): view_queue = mp.Queue() @@ -116,9 +102,11 @@ def _create_resources(self, web_processor_args: dict, setup_paths: dict): "custom_nodes_path": setup_paths["custom_nodes_path"], "view_manager_queue": view_queue, } + if not self.shared_execution: + processor_args["cwd"] = setup_paths["workflow_dir"].parent self._create_dirs(**setup_paths, no_sample=self.no_sample) processor = WebInstanceProcessor(**processor_args) - view_manager = ViewManager(view_queue, self.close_event, processor) + view_manager = ViewManager(view_queue, processor) node_hub = NodeHub(setup_paths["custom_nodes_path"], self.plugins, view_manager) processor.start() view_manager.start() @@ -156,10 +144,12 @@ def create_sample_workflow(): if should_create_sample: create_sample_workflow() - def add_client(self, ws: WebSocketResponse) -> Client: + async def add_client(self, ws: WebSocketResponse) -> Client: sid = uuid.uuid4().hex setup_paths = {**self.setup_paths} - if not self.shared_execution: + if self.shared_execution: + resources = self.shared_resources + else: root_path = Path(tempfile.mkdtemp()) self.tmpdirs[sid] = root_path setup_paths = { @@ -170,32 +160,65 @@ def add_client(self, ws: WebSocketResponse) -> Client: "custom_nodes_path": setup_paths["custom_nodes_path"], } resources = self._create_resources(web_processor_args, setup_paths) - else: - resources = self.shared_resources client = Client(sid, ws, **resources, setup_paths=setup_paths) - client.start() self.clients[sid] = client - asyncio.create_task(ws.send_json({"type": "sid", "data": sid})) + await ws.send_json({"type": "sid", "data": sid}) print(f"{sid}: {client.get_root_path()}") return client + def get(self, sid: str) -> Client | None: + return self.clients.get(sid, None) + async def remove_client(self, client: Client): sid = client.sid if sid in self.clients: await client.close() del self.clients[sid] + if not self.shared_execution: + client.get_processor().stop() + client.get_node_hub().stop() + client.get_view_manager().stop() if sid in self.tmpdirs: shutil.rmtree(self.tmpdirs[sid]) del self.tmpdirs[sid] - async def remove_all(self): - for sid in self.clients: - await self.clients[sid].close() - for sid in self.tmpdirs: - os.rmdir(self.tmpdirs[sid]) - self.clients = {} - self.tmpdirs = {} + async def stop(self): + for client in list(self.clients.values()): + await self.remove_client(client) + if self.curr_task: + self.curr_task.cancel() + if self.shared_execution: + self.shared_resources["processor"].close() + self.shared_resources["node_hub"].stop() - def get(self, sid: str) -> Client | None: - return self.clients.get(sid, None) + async def _loop(self): + def get_view_data(view_manager: ViewManager) -> List[dict]: + current_view_data = view_manager.get_current_view_data() + current_states = view_manager.get_current_states() + return [*current_view_data, *current_states] + + while not self.close_event.is_set(): + await asyncio.sleep(self.options["SEND_EVERY"]) + + if self.shared_execution: + all_data = get_view_data(self.shared_resources["view_manager"]) + for client in self.clients.values(): + try: + await asyncio.gather( + *[client.ws.send_json(data) for data in all_data] + ) + except Exception as e: + print(f"Error sending to client: {e}") + else: + for client in self.clients.values(): + all_data = get_view_data(client.get_view_manager()) + try: + await asyncio.gather( + *[client.ws.send_json(data) for data in all_data] + ) + except Exception as e: + print(f"Error sending to client: {e}") + + async def start(self): + self.curr_task = asyncio.create_task(self._loop()) diff --git a/graphbook/logger.py b/graphbook/logger.py deleted file mode 100644 index 2fe35ac..0000000 --- a/graphbook/logger.py +++ /dev/null @@ -1,61 +0,0 @@ -from typing import Literal -import multiprocessing as mp -from typing import Dict, Tuple, Any -import inspect -from .viewer import ViewManagerInterface -from .utils import transform_json_log - -logging_nodes = None -view_manager = None -text_log_types = ["info", "error"] - -LogType = Literal["info", "error", "json", "image"] - - -def setup_logging_nodes(nodes: Dict[int, Tuple[str, str]], queue: mp.Queue): - global logging_nodes - global view_manager - logging_nodes = nodes - view_manager = ViewManagerInterface(queue) - - -def log(msg: Any, type: LogType = "info", caller_id: int | None = None): - if caller_id is None: - prev_frame = inspect.currentframe().f_back - caller = prev_frame.f_locals.get("self") - if caller is not None: - caller_id = id(caller) - - node = logging_nodes.get(caller_id, None) - if node is None: - raise ValueError( - f"Can't find node id in {caller}. Only initialized steps can log." - ) - node_id, node_name = node - - if type in text_log_types: - if type == "error": - msg = f"[ERR] {msg}" - print(f"[{node_id} {node_name}] {msg}") - elif type == "json": - msg = transform_json_log(msg) - elif type == "image": - pass # TODO - else: - raise ValueError(f"Unknown log type {type}") - view_manager.handle_log(node_id, msg, type) - -def prompt(prompt: dict, caller_id: int | None = None): - if caller_id is None: - prev_frame = inspect.currentframe().f_back - caller = prev_frame.f_locals.get("self") - if caller is not None: - caller_id = id(caller) - - node = logging_nodes.get(caller_id, None) - if node is None: - raise ValueError( - f"Can't find node id in {caller}. Only initialized steps can log." - ) - node_id, _ = node - view_manager.handle_prompt(node_id, prompt) diff --git a/graphbook/processing/web_processor.py b/graphbook/processing/web_processor.py index 08776b9..bdb30f0 100644 --- a/graphbook/processing/web_processor.py +++ b/graphbook/processing/web_processor.py @@ -5,24 +5,23 @@ AsyncStep, BatchStep, StepOutput, + log, ) from ..dataloading import Dataloader, setup_global_dl -from ..utils import MP_WORKER_TIMEOUT, ProcessorStateRequest, transform_json_log +from ..utils import MP_WORKER_TIMEOUT, transform_json_log, ExecutionContext from ..state import GraphState, StepState, NodeInstantiationError from ..viewer import ViewManagerInterface -from ..logger import log from ..shm import SharedMemoryManager from ..note import Note from typing import List from pathlib import Path import queue import multiprocessing as mp -import multiprocessing.connection as mpc import threading as th import traceback -import asyncio import time import copy +import os from PIL import Image step_output_err_res = ( @@ -40,6 +39,7 @@ def __init__( custom_nodes_path: Path, spawn: bool, num_workers: int = 1, + cwd: Path | None = None, ): self.cmd_queue = mp.Queue() self.view_manager = ViewManagerInterface(view_manager_queue) @@ -48,19 +48,10 @@ def __init__( self.continue_on_failure = continue_on_failure self.copy_outputs = copy_outputs self.num_workers = num_workers - self.steps = {} self.dataloader = Dataloader(self.num_workers, spawn) - setup_global_dl(self.dataloader) - self.server_request_conn, client_request_conn = mpc.Pipe() + self.cwd = cwd self.close_event = mp.Event() self.pause_event = mp.Event() - self.state_client = ProcessorStateClient( - client_request_conn, - self.close_event, - self.pause_event, - self.graph_state, - self.dataloader, - ) self.is_running = False self.filename = None self.thread = th.Thread(target=self.start_loop, daemon=True) @@ -94,6 +85,8 @@ def try_add_image(item): def exec_step( self, step: Step, input: Note | None = None, flush: bool = False ) -> StepOutput | None: + ExecutionContext.update(node_id=step.id) + ExecutionContext.update(node_name=step.__class__.__name__) outputs = {} step_fn = step if not flush else step.all start_time = time.time() @@ -107,7 +100,7 @@ def exec_step( else: outputs = step_fn(input) except Exception as e: - log(f"{type(e).__name__}: {str(e)}", "error", id(step)) + log(f"{type(e).__name__}: {str(e)}", "error") traceback.print_exc() return None @@ -117,7 +110,6 @@ def exec_step( log( f"{step_output_err_res} Output was not a dict. This step has multiple outputs {step.Outputs} and cannot assume a single value.", "error", - id(step), ) return None outputs = {step.Outputs[0]: outputs} @@ -132,7 +124,6 @@ def exec_step( log( f"{step_output_err_res} List values did not all contain Notes.", "error", - id(step), ) return None self.handle_images(outputs) @@ -197,12 +188,14 @@ def step_until_received_output(self, steps: List[Step], step_id: str): ) def try_execute_step_event(self, step: Step, event: str): + ExecutionContext.update(node_id=step.id) + ExecutionContext.update(node_name=step.__class__.__name__) try: if hasattr(step, event): getattr(step, event)() return True except Exception as e: - log(f"{type(e).__name__}: {str(e)}", "error", id(step)) + log(f"{type(e).__name__}: {str(e)}", "error") traceback.print_exc() return False @@ -253,7 +246,6 @@ def set_is_running(self, is_running: bool = True, filename: str | None = None): self.filename = filename run_state = {"is_running": is_running, "filename": self.filename} self.view_manager.set_state("run_state", run_state) - self.state_client.set_running_state(run_state) def cleanup(self): self.dataloader.shutdown() @@ -295,8 +287,10 @@ def _exec(self, work: dict): self.step(work["step_id"]) def start_loop(self): - loop = asyncio.new_event_loop() - loop.run_in_executor(None, self.state_client.start) + ExecutionContext.update(view_manager=self.view_manager) + setup_global_dl(self.dataloader) + if self.cwd is not None: + os.chdir(self.cwd) exec_cmds = ["run_all", "run", "step"] while not self.close_event.is_set(): self.set_is_running(False) @@ -309,93 +303,37 @@ def start_loop(self): self.view_manager.handle_clear(work.get("node_id")) step = self.graph_state.get_step(work.get("node_id")) self.dataloader.clear(id(step) if step != None else None) + except queue.Empty: + pass except KeyboardInterrupt: self.cleanup() break - except queue.Empty: - pass - + except Exception as e: + self.cleanup() + break + def start(self): self.thread.start() - def close(self): + def stop(self): self.close_event.set() - self.state_client.close() self.cleanup() - + def exec(self, work: dict): self.cmd_queue.put(work) - def poll_client( - self, req: ProcessorStateRequest, body: dict = None - ) -> dict: - req_data = {"cmd": req} - if body: - req_data.update(body) - self.server_request_conn.send(req_data) - if self.server_request_conn.poll(timeout=MP_WORKER_TIMEOUT): - res = self.server_request_conn.recv() - if res.get("res") == req: - return res.get("data") - return {} - - -class ProcessorStateClient: - def __init__( - self, - server_request_conn: mpc.Connection, - close_event: mp.Event, - pause_event: mp.Event, - graph_state: GraphState, - dataloader: Dataloader, - ): - self.server_request_conn = server_request_conn - self.close_event = close_event - self.pause_event = pause_event - self.curr_task = None - self.graph_state = graph_state - self.dataloader = dataloader - self.running_state = {} - - def _loop(self): - while not self.close_event.is_set(): - if self.server_request_conn.poll(timeout=MP_WORKER_TIMEOUT): - req = self.server_request_conn.recv() - if req["cmd"] == ProcessorStateRequest.GET_OUTPUT_NOTE: - step_id = req.get("step_id") - pin_id = req.get("pin_id") - index = req.get("index") - if step_id is None or pin_id is None or index is None: - output = {} - else: - output = self.graph_state.get_output_note( - step_id, pin_id, index - ) - output = transform_json_log(output) - elif req["cmd"] == ProcessorStateRequest.GET_WORKER_QUEUE_SIZES: - output = self.dataloader.get_all_sizes() - elif req["cmd"] == ProcessorStateRequest.GET_RUNNING_STATE: - output = self.running_state - elif req["cmd"] == ProcessorStateRequest.PROMPT_RESPONSE: - step_id = req.get("step_id") - succeeded = self.graph_state.handle_prompt_response( - step_id, req.get("response") - ) - output = {"ok": succeeded} - elif req["cmd"] == ProcessorStateRequest.PAUSE: - self.pause_event.set() - output = {} - else: - output = {} - entry = {"res": req["cmd"], "data": output} - self.server_request_conn.send(entry) + def get_worker_queue_sizes(self): + return self.dataloader.get_all_sizes() - def start(self): - self._loop() + def get_output_note(self, step_id: str, pin_id: str, index: int) -> Note | None: + output = self.graph_state.get_output_note(step_id, pin_id, index) + return transform_json_log(output) + + def get_running_state(self): + return self.is_running - def close(self): - if self.curr_task is not None: - self.curr_task.cancel() + def handle_prompt_response(self, step_id: str, response: str) -> bool: + return self.graph_state.handle_prompt_response(step_id, response) - def set_running_state(self, state: dict): - self.running_state = state + def pause(self): + self.pause_event.set() diff --git a/graphbook/state.py b/graphbook/state.py index 504b4cd..c7dddb3 100644 --- a/graphbook/state.py +++ b/graphbook/state.py @@ -6,12 +6,11 @@ from .decorators import get_steps, get_resources from .viewer import ViewManagerInterface from .plugins import setup_plugins -from .logger import setup_logging_nodes from .utils import transform_json_log from . import nodes import multiprocessing as mp import importlib, importlib.util, inspect -import sys, os +import os import hashlib from enum import Enum from pathlib import Path @@ -191,7 +190,6 @@ def set_resource_value(resource_id, resource_data): queues: Dict[str, MultiConsumerStateDictionaryQueue] = {} step_states: Dict[str, Set[StepState]] = {} step_graph = {"child": {}, "parent": {}} - logger_param_pool = {} for step_id, step_data in graph.items(): step_name = step_data["name"] step_input = {} @@ -216,7 +214,6 @@ def set_resource_value(resource_id, resource_data): step_states[step_id].discard(StepState.EXECUTED_THIS_RUN) step_graph["parent"][step_id] = self._step_graph["parent"][step_id] step_graph["child"][step_id] = self._step_graph["child"][step_id] - logger_param_pool[id(self._steps[step_id])] = (step_id, step_name) else: try: step = step_hub[step_name](**step_input) @@ -230,7 +227,6 @@ def set_resource_value(resource_id, resource_data): steps[step_id] = step queues[step_id] = MultiConsumerStateDictionaryQueue() step_states[step_id] = set() - logger_param_pool[id(step)] = (step_id, step_name) # Remove old consumers from parents previous_obj = self._steps.get(step_id) @@ -275,8 +271,6 @@ def get_parent_iterator(step_id): step_id: get_parent_iterator(step_id) for step_id in steps } - setup_logging_nodes(logger_param_pool, self.view_manager_queue) - # Update current graph and resource state self._dict_graph = graph self._dict_resources = dict_resources diff --git a/graphbook/steps/__init__.py b/graphbook/steps/__init__.py index 5e03d66..4d491b2 100644 --- a/graphbook/steps/__init__.py +++ b/graphbook/steps/__init__.py @@ -9,7 +9,8 @@ Split, SplitNotesByItems, SplitItemField, - Copy + Copy, + log, ) from .io import LoadJSONL, DumpJSONL @@ -27,4 +28,5 @@ "Copy", "LoadJSONL", "DumpJSONL", + "log", ] diff --git a/graphbook/steps/base.py b/graphbook/steps/base.py index d31ae35..c2c2894 100644 --- a/graphbook/steps/base.py +++ b/graphbook/steps/base.py @@ -1,11 +1,13 @@ from __future__ import annotations -from typing import List, Dict, Tuple, Generator, Any +from typing import List, Dict, Tuple, Generator, Any, Literal from ..utils import ( transform_function_string, convert_dict_values_to_list, is_batchable, + transform_json_log, ) -from ..logger import log, prompt +from ..utils import ExecutionContext +from ..viewer import ViewManagerInterface from .. import Note, prompts, dataloading as dataloader import warnings import traceback @@ -17,6 +19,51 @@ """A dict mapping of output slot to Note list. Every Step outputs a StepOutput.""" +LogType = Literal["info", "error", "json", "image"] +text_log_types = ["info", "error"] + + +def log(msg: Any, type: LogType = "info"): + node_id: str = ExecutionContext.get("node_id") + node_name: str = ExecutionContext.get("node_name") + view_manager: ViewManagerInterface = ExecutionContext.get("view_manager") + if node_id is None or node_name is None: + raise ValueError("Can't find node info. Only initialized steps can log.") + + if view_manager is None: + raise ValueError( + "View manager not initialized in context. Is this being called in a running graph?" + ) + + if type in text_log_types: + if type == "error": + msg = f"[ERR] {msg}" + print(f"[{node_id} {node_name}] {msg}") + elif type == "json": + msg = transform_json_log(msg) + elif type == "image": + pass # TODO + else: + raise ValueError(f"Unknown log type {type}") + view_manager.handle_log(node_id, msg, type) + + +def prompt(prompt: dict): + node_id: str = ExecutionContext.get("node_id") + view_manager: ViewManagerInterface = ExecutionContext.get("view_manager") + if node_id is None: + raise ValueError( + f"Can't find node id in {caller}. Only initialized steps can log." + ) + + if view_manager is None: + raise ValueError( + "View manager not initialized in context. Is this being called in a running graph?" + ) + + view_manager.handle_prompt(node_id, prompt) + + class Step: """ The base class of the executable workflow node, step. All other step classes should be a descendant of this class. @@ -283,7 +330,8 @@ def is_active(self): class BatchStep(AsyncStep): """ - A Step used for batch processing. This step will consume Pytorch tensor batches loaded by the worker pool by default. + A Step used for batch and parallel processing using custom function definitions. + Override the `load_fn` and `dump_fn` methods with your custom logic to load and dump data, respectively. """ def __init__(self, batch_size, item_key): @@ -705,20 +753,22 @@ def on_after_item(self, note: Note) -> StepOutput: note.items[self.b_key] = b_items if self.should_delete_original: del note.items[self.item_key] - + + class Copy(Step): """ Copies the incoming notes to output slots A and B. The original version will be forwarded to A and an indentical copy will be forwarded to B. The copy is made with `copy.deepcopy()`. """ - + RequiresInput = True Parameters = {} Category = "Util" Outputs = ["A", "B"] + def __init__(self): super().__init__() - + def forward_note(self, note: Note) -> StepOutput: return {"A": [note], "B": [copy.deepcopy(note)]} diff --git a/graphbook/utils.py b/graphbook/utils.py index 0bdff41..f7c6aec 100644 --- a/graphbook/utils.py +++ b/graphbook/utils.py @@ -1,12 +1,11 @@ from __future__ import annotations -from enum import Enum -from typing import Any +from typing import Any, Dict import importlib import shutil import subprocess import os import platform -import multiprocessing.connection as mpc +import threading from torch import Tensor from numpy import ndarray from PIL import Image @@ -14,17 +13,6 @@ MP_WORKER_TIMEOUT = 5.0 -ProcessorStateRequest = Enum( - "ProcessorStateRequest", - [ - "GET_OUTPUT_NOTE", - "GET_WORKER_QUEUE_SIZES", - "GET_RUNNING_STATE", - "PROMPT_RESPONSE", - "PAUSE", - ], -) - def is_batchable(obj: Any) -> bool: return isinstance(obj, list) or isinstance(obj, Tensor) @@ -54,20 +42,6 @@ def transform_function_string(func_str: str): return getattr(module, func_name) -def poll_conn_for( - conn: mpc.Connection, req: ProcessorStateRequest, body: dict = None -) -> dict: - req_data = {"cmd": req} - if body: - req_data.update(body) - conn.send(req_data) - if conn.poll(timeout=MP_WORKER_TIMEOUT): - res = conn.recv() - if res.get("res") == req: - return res.get("data") - return None - - def get_gpu_util(): def safe_float_cast(strNumber): try: @@ -196,3 +170,22 @@ def image(path_or_pil: str | Image.Image) -> dict: """ assert isinstance(path_or_pil, str) or isinstance(path_or_pil, Image.Image) return {"type": "image", "value": path_or_pil} + +class ExecutionContext: + _storage = threading.local() + + @classmethod + def get_context(cls) -> Dict[str, Any]: + if not hasattr(cls._storage, "context"): + cls._storage.context = {} + return cls._storage.context + + @classmethod + def update(cls, **kwargs): + context = cls.get_context() + context.update(kwargs) + + @classmethod + def get(cls, key: str, default: Any = None) -> Any: + return cls.get_context().get(key, default) + diff --git a/graphbook/viewer.py b/graphbook/viewer.py index 38ec00f..cced899 100644 --- a/graphbook/viewer.py +++ b/graphbook/viewer.py @@ -6,8 +6,6 @@ import copy import psutil from .utils import MP_WORKER_TIMEOUT, get_gpu_util -# from .processing.web_processor import WebInstanceProcessor -from .utils import ProcessorStateRequest class Viewer: @@ -164,9 +162,7 @@ def get_gpu_usage(self): return gpus def get_next(self): - sizes = self.processor.poll_client( - ProcessorStateRequest.GET_WORKER_QUEUE_SIZES - ) + sizes = self.processor.get_worker_queue_sizes() return { "cpu": self.get_cpu_usage(), "mem": self.get_mem_usage(), @@ -196,7 +192,6 @@ class ViewManager: def __init__( self, work_queue: mp.Queue, - close_event: mp.Event, processor, ): self.data_viewer = DataViewer() @@ -213,8 +208,8 @@ def __init__( ] self.states: Dict[str, Any] = {} self.work_queue = work_queue - self.close_event = close_event - + self.close_event = mp.Event() + def get_viewers(self): return self.viewers @@ -247,13 +242,13 @@ def handle_prompt(self, node_id: str, prompt: dict): def handle_end(self): for viewer in self.viewers: viewer.handle_end() - + def set_state(self, type: str, data: Any = None): """ Set state data for a specific type """ self.states[type] = data - + def get_current_states(self): """ Retrieve all current state data @@ -261,7 +256,7 @@ def get_current_states(self): states = [{"type": key, "data": self.states[key]} for key in self.states] self.states.clear() return states - + def get_current_view_data(self): """ Get the current data from all viewer classes @@ -296,13 +291,16 @@ def _loop(self): self.handle_prompt(work["node_id"], work["prompt"]) elif work["cmd"] == "set_state": self.set_state(work["type"], work["data"]) - except queue.Empty: pass def start(self): loop = asyncio.new_event_loop() loop.run_in_executor(None, self._loop) + + def stop(self): + self.close_event.set() + class ViewManagerInterface: def __init__(self, view_manager_queue: mp.Queue): @@ -343,8 +341,6 @@ def handle_prompt(self, node_id: str, prompt: dict): self.view_manager_queue.put( {"cmd": "handle_prompt", "node_id": node_id, "prompt": prompt} ) - + def set_state(self, type: str, data: Any): - self.view_manager_queue.put( - {"cmd": "set_state", "type": type, "data": data} - ) + self.view_manager_queue.put({"cmd": "set_state", "type": type, "data": data}) diff --git a/graphbook/web.py b/graphbook/web.py index 158ae7b..2f4f383 100644 --- a/graphbook/web.py +++ b/graphbook/web.py @@ -9,7 +9,6 @@ from aiohttp import web from pathlib import Path from .media import create_media_server -from .utils import ProcessorStateRequest from .shm import SharedMemoryManager from .clients import ClientPool, Client from .plugins import setup_plugins @@ -54,6 +53,8 @@ def __init__( self.web_dir = web_dir if self.web_dir is None: self.web_dir = Path(__file__).parent.joinpath("web") + else: + self.web_dir = Path(self.web_dir) routes = web.RouteTableDef() self.routes = routes self.img_mem = SharedMemoryManager(**img_mem_args) if img_mem_args else None @@ -93,14 +94,13 @@ async def websocket_handler(request: web.Request, *_) -> web.WebSocketResponse: except Exception as e: print(f"Error preparing websocket: {e}") return ws - client = self.client_pool.add_client(ws) + client = await self.client_pool.add_client(ws) def put_graph(req: dict): filename = req["filename"] nodes = req["nodes"] edges = req["edges"] full_path = client.get_root_path().joinpath(filename) - print(f"Saving graph to {full_path}") with open(full_path, "w") as f: serialized = { "version": "0", @@ -116,7 +116,7 @@ def put_graph(req: dict): if msg.data == "close": await self.client_pool.remove_client(client) else: - req = msg.json() # Unhandled + req = msg.json() if req["api"] == "graph" and req["cmd"] == "put_graph": put_graph(req) elif msg.type == aiohttp.WSMsgType.ERROR: @@ -208,7 +208,7 @@ async def step(request: web.Request) -> web.Response: @routes.post("/pause") async def pause(request: web.Request) -> web.Response: client = get_client(request) - client.poll(ProcessorStateRequest.PAUSE) + client.get_processor().pause() return web.json_response({"success": True}) @routes.post("/clear") @@ -225,14 +225,8 @@ async def prompt_response(request: web.Request) -> web.Response: step_id = request.match_info.get("id") data = await request.json() response = data.get("response") - res = client.poll( - ProcessorStateRequest.PROMPT_RESPONSE, - { - "step_id": step_id, - "response": response, - }, - ) - return web.json_response(res) + res = client.get_processor().handle_prompt_response(step_id, response) + return web.json_response({"ok": res}) @routes.get("/nodes") async def get_nodes(request: web.Request) -> web.Response: @@ -246,14 +240,7 @@ async def get_output_note(request: web.Request) -> web.Response: step_id = request.match_info.get("step_id") pin_id = request.match_info.get("pin_id") index = int(request.match_info.get("index")) - res = client.poll( - ProcessorStateRequest.GET_OUTPUT_NOTE, - { - "step_id": step_id, - "pin_id": pin_id, - "index": index, - }, - ) + res = client.get_processor().get_output_note(step_id, pin_id, index) if ( res and res.get("step_id") == step_id @@ -267,7 +254,7 @@ async def get_output_note(request: web.Request) -> web.Response: @routes.get("/state") async def get_run_state(request: web.Request) -> web.Response: client = get_client(request) - res = client.poll(ProcessorStateRequest.GET_RUNNING_STATE) + res = client.get_processor().get_running_state() return web.json_response(res) @routes.get("/step_docstring/{name}") @@ -461,12 +448,9 @@ async def _async_start(self): await runner.setup() site = web.TCPSite(runner, self.host, self.port) await site.start() + await self.client_pool.start() await asyncio.Event().wait() - async def on_shutdown(self): - 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--- a/pyproject.toml +++ b/pyproject.toml @@ -24,6 +24,7 @@ graphbook = "graphbook.main:main" [tool.poetry.dependencies] python = "^3.9" +torch = "^2.0.0" aiohttp = "^3.9.4" pillow = "^10.3.0" watchdog = "^4.0.0" @@ -51,5 +52,4 @@ sphinx-design = "^0.6.1" optional = true [tool.poetry.group.peer.dependencies] -torch = "^2.0.0" torchvision = "^0.18.1" diff --git a/web/src/components/TopPanel.tsx b/web/src/components/TopPanel.tsx index 5e6b5dd..9fd19a4 100644 --- a/web/src/components/TopPanel.tsx +++ b/web/src/components/TopPanel.tsx @@ -240,6 +240,9 @@ function WorkerChart() { setData(prev => { const queueSizes = data.worker_queue_sizes; if (queueSizes) { + if (!queueSizes.dump || !queueSizes.load || !queueSizes.dump_result || !queueSizes.load_result) { + return prev; + } const enqueuedSize = queueSizes.dump.reduce((acc, val) => acc + val, 0) + queueSizes.load.reduce((acc, val) => acc + val, 0);