fix pylint issues

comfy/client/embedded_comfy_client.py

@@ -82,7 +82,7 @@ async def __execute_prompt(
         try:
             prompt_mut = make_mutable(prompt)
             from ..cmd.execution import validate_prompt
-            validation_tuple = validate_prompt(prompt_mut)
+            validation_tuple = await validate_prompt(prompt_id, prompt_mut)
             if not validation_tuple.valid:
                 if validation_tuple.node_errors is not None and len(validation_tuple.node_errors) > 0:
                     validation_error_dict = validation_tuple.node_errors

comfy/cmd/execution.py

@@ -388,7 +388,7 @@ def format_value(x) -> FormattedValue:
         return str(x.__class__)
 
 
-def execute(server: ExecutorToClientProgress, dynprompt: DynamicPrompt, caches, _node_id: str, extra_data: dict, executed, prompt_id, execution_list, pending_subgraph_results) -> RecursiveExecutionTuple:
+async def execute(server: ExecutorToClientProgress, dynprompt: DynamicPrompt, caches, _node_id: str, extra_data: dict, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes) -> RecursiveExecutionTuple:
     """
 
     :param server:
@@ -403,7 +403,7 @@ def execute(server: ExecutorToClientProgress, dynprompt: DynamicPrompt, caches,
     :return:
     """
     with context_execute_node(_node_id):
-        return _execute(server, dynprompt, caches, _node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results)
+        return _execute(server, dynprompt, caches, _node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes)
 
 
 async def _execute(server, dynprompt, caches: CacheSet, current_item: str, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes) -> RecursiveExecutionTuple:

comfy/cmd/server.py

@@ -859,8 +859,8 @@ class PromptServer(ExecutorToClientProgress):
                 return web.Response(status=400, reason="no prompt was specified")
 
             content_digest = digest(prompt_dict)
-
+            task_id = str(uuid.uuid4())
-            valid = execution.validate_prompt(prompt_dict)
+            valid = await execution.validate_prompt(task_id, prompt_dict)
             if not valid[0]:
                 return web.Response(status=400, content_type="application/json", body=json.dumps(valid[1]))
 
@@ -872,7 +872,6 @@ class PromptServer(ExecutorToClientProgress):
             completed: Future[TaskInvocation | dict] = self.loop.create_future()
             # todo: actually implement idempotency keys
             # we would need some kind of more durable, distributed task queue
-            task_id = str(uuid.uuid4())
             item = QueueItem(queue_tuple=(number, task_id, prompt_dict, {}, valid[2]), completed=completed)
 
             try:

comfy/distributed/distributed_prompt_queue.py

@@ -110,7 +110,7 @@ class DistributedPromptQueue(AbstractPromptQueue, AsyncAbstractPromptQueue):
     async def _callee_do_work_item(self, request: dict) -> dict:
         assert self._is_callee
         request_obj = RpcRequest.from_dict(request)
-        item = request_obj.as_queue_tuple().queue_tuple
+        item = (await request_obj.as_queue_tuple()).queue_tuple
         item_with_completer = QueueItem(item, self._loop.create_future())
         self._callee_local_in_progress[item_with_completer.prompt_id] = item_with_completer
         # todo: check if we have the local model content needed to execute this request and if not, reject it

comfy/distributed/distributed_types.py

@@ -26,13 +26,13 @@ class DistributedBase:
 class RpcRequest(DistributedBase):
     prompt: dict | PromptDict
 
-    def as_queue_tuple(self) -> NamedQueueTuple:
+    async def as_queue_tuple(self) -> NamedQueueTuple:
         # this loads the nodes in this instance
         # should always be okay to call in an executor
         from ..cmd.execution import validate_prompt
         from ..component_model.make_mutable import make_mutable
         mutated_prompt_dict = make_mutable(self.prompt)
-        validation_tuple = validate_prompt(mutated_prompt_dict)
+        validation_tuple = await validate_prompt(self.prompt_id, mutated_prompt_dict)
         return NamedQueueTuple(queue_tuple=(0, self.prompt_id, mutated_prompt_dict, {}, validation_tuple[2]))
 
     @classmethod

comfy/k_diffusion/sampling.py

@@ -1724,8 +1724,8 @@ def sample_sa_solver(model, x, sigmas, extra_args=None, callback=None, disable=F
     x_pred = x  # x: current state, x_pred: predicted next state
 
     h = 0.0
-    tau_t = 0.0
+    tau_t = torch.float(0.0)
-    noise = 0.0
+    noise = torch.float(0.0)
     pred_list = []
 
     # Lower order near the end to improve stability

comfy/ldm/ace/vae/music_dcae_pipeline.py

@@ -1,9 +1,12 @@
 # Original from: https://github.com/ace-step/ACE-Step/blob/main/music_dcae/music_dcae_pipeline.py
-import torch
-from .autoencoder_dc import AutoencoderDC
 import logging
+
+import torch
+
+from .autoencoder_dc import AutoencoderDC
+
 try:
-    import torchaudio
+    import torchaudio  # pylint: disable=import-error
 except:
     logging.warning("torchaudio missing, ACE model will be broken")
 

comfy/ldm/ace/vae/music_log_mel.py

@@ -4,7 +4,7 @@ import torch.nn as nn
 from torch import Tensor
 import logging
 try:
-    from torchaudio.transforms import MelScale
+    from torchaudio.transforms import MelScale  # pylint: disable=import-error
 except:
     logging.warning("torchaudio missing, ACE model will be broken")
 

comfy/supported_models.py

@@ -1310,7 +1310,7 @@ class Omnigen2(supported_models_base.BASE):
     def clip_target(self, state_dict={}):
         pref = self.text_encoder_key_prefix[0]
         hunyuan_detect = hunyuan_video.llama_detect(state_dict, "{}qwen25_3b.transformer.".format(pref))
-        return supported_models_base.ClipTarget(omnigen2.LuminaTokenizer, omnigen2.te(**hunyuan_detect))
+        return supported_models_base.ClipTarget(omnigen2.Omnigen2Tokenizer, omnigen2.te(**hunyuan_detect))
 
 
 models = [LotusD, Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, FluxSchnell, GenmoMochi, LTXV, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, CosmosT2IPredict2, CosmosI2VPredict2, Lumina2, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, WAN21_Vace, WAN21_Camera, Hunyuan3Dv2mini, Hunyuan3Dv2, HiDream, Chroma, ACEStep, Omnigen2]

comfy_api/input_impl/video_types.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 from av.container import InputContainer
-from av.subtitles.stream import SubtitleStream
+from av.subtitles.stream import SubtitleStream  # pylint: disable=no-name-in-module
 from fractions import Fraction
 from typing import Optional
 from comfy_api.input import AudioInput

comfy_api_nodes/apinode_utils.py

@@ -16,7 +16,7 @@ from comfy_api_nodes.apis.client import (
     UploadRequest,
     UploadResponse,
 )
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 
 
 import numpy as np

comfy_api_nodes/apis/client.py

@@ -103,7 +103,7 @@ from urllib.parse import urljoin, urlparse
 from pydantic import BaseModel, Field
 import uuid # For generating unique operation IDs
 
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 from comfy.cli_args import args
 from comfy import utils
 from . import request_logger

comfy_api_nodes/apis/request_logger.py

@@ -2,7 +2,7 @@ import os
 import datetime
 import json
 import logging
-import folder_paths
+from comfy.cmd import folder_paths
 
 # Get the logger instance
 logger = logging.getLogger(__name__)

comfy_api_nodes/nodes_bfl.py

@@ -32,7 +32,7 @@ import requests
 import torch
 import base64
 import time
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 
 
 def convert_mask_to_image(mask: torch.Tensor):

comfy_api_nodes/nodes_gemini.py

@@ -9,9 +9,9 @@ from typing import Optional, Literal
 
 import torch
 
-import folder_paths
+from comfy.cmd import folder_paths
 from comfy.comfy_types.node_typing import IO, ComfyNodeABC, InputTypeDict
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 from comfy_api_nodes.apis import (
     GeminiContent,
     GeminiGenerateContentRequest,
@@ -406,7 +406,7 @@ class GeminiInputFiles(ComfyNodeABC):
 
     def create_file_part(self, file_path: str) -> GeminiPart:
         mime_type = (
-            GeminiMimeType.pdf
+            GeminiMimeType.application_pdf
             if file_path.endswith(".pdf")
             else GeminiMimeType.text_plain
         )

comfy_api_nodes/nodes_ideogram.py

@@ -23,7 +23,7 @@ from comfy_api_nodes.apinode_utils import (
     bytesio_to_image_tensor,
     resize_mask_to_image,
 )
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 
 V1_V1_RES_MAP = {
   "Auto":"AUTO",

comfy_api_nodes/nodes_luma.py

@@ -36,7 +36,7 @@ from comfy_api_nodes.apinode_utils import (
     process_image_response,
     validate_string,
 )
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 
 import requests
 import torch

comfy_api_nodes/nodes_minimax.py

@@ -24,7 +24,7 @@ from comfy_api_nodes.apinode_utils import (
     upload_images_to_comfyapi,
     validate_string,
 )
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 
 
 I2V_AVERAGE_DURATION = 114

comfy_api_nodes/nodes_openai.py

@@ -11,8 +11,8 @@ import numpy as np
 import torch
 from PIL import Image
 from comfy.comfy_types.node_typing import IO, ComfyNodeABC, InputTypeDict
-from server import PromptServer
+from comfy.cmd.server import PromptServer
-import folder_paths
+from comfy.cmd import folder_paths
 
 
 from comfy_api_nodes.apis import (

comfy_api_nodes/nodes_recraft.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 from inspect import cleandoc
 from typing import Optional
 from comfy.utils import ProgressBar
-from comfy_extras.nodes_images import SVG # Added
+from comfy_extras.nodes.nodes_images import SVG # Added
 from comfy.comfy_types.node_typing import IO
 from comfy_api_nodes.apis.recraft_api import (
     RecraftImageGenerationRequest,
@@ -30,7 +30,7 @@ from comfy_api_nodes.apinode_utils import (
     resize_mask_to_image,
     validate_string,
 )
-from server import PromptServer
+from comfy.cmd.server import PromptServer
 
 import torch
 from io import BytesIO

comfy_api_nodes/nodes_rodin.py

@@ -8,7 +8,7 @@ Rodin API docs: https://developer.hyper3d.ai/
 from __future__ import annotations
 from inspect import cleandoc
 from comfy.comfy_types.node_typing import IO
-import folder_paths as comfy_paths
+from comfy.cmd import folder_paths as comfy_paths
 import requests
 import os
 import datetime

comfy_api_nodes/nodes_tripo.py

@@ -1,5 +1,5 @@
 import os
-from folder_paths import get_output_directory
+from comfy.cmd.folder_paths import get_output_directory
 from comfy_api_nodes.mapper_utils import model_field_to_node_input
 from comfy.comfy_types.node_typing import IO
 from comfy_api_nodes.apis import (

comfy_config/config_parser.py

@@ -113,9 +113,9 @@ def extract_node_configuration(path) -> Optional[PyProjectConfig]:
     project_data = raw_settings.project
 
     tool_data = raw_settings.tool
-    comfy_data = tool_data.get("comfy", {}) if tool_data else {}
+    comfy_data = tool_data.get("comfy", {}) if tool_data else {}  # pylint: disable=no-member
 
-    dependencies = project_data.get("dependencies", [])
+    dependencies = project_data.get("dependencies", [])  # pylint: disable=no-member
     supported_comfyui_frontend_version = ""
     for dep in dependencies:
         if isinstance(dep, str) and dep.startswith("comfyui-frontend-package"):
@@ -124,7 +124,7 @@ def extract_node_configuration(path) -> Optional[PyProjectConfig]:
 
     supported_comfyui_version = comfy_data.get("requires-comfyui", "")
 
-    classifiers = project_data.get('classifiers', [])
+    classifiers = project_data.get('classifiers', [])  # pylint: disable=no-member
     supported_os = validate_and_extract_os_classifiers(classifiers)
     supported_accelerators = validate_and_extract_accelerator_classifiers(classifiers)
 

comfy_execution/graph.py

@@ -244,7 +244,7 @@ class ExecutionList(TopologicalSort):
         # This will execute the asynchronous function earlier, reducing the overall time.
         def is_async(node_id):
             class_type = self.dynprompt.get_node(node_id)["class_type"]
-            class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
+            class_def = get_nodes().NODE_CLASS_MAPPINGS[class_type]
             return inspect.iscoroutinefunction(getattr(class_def, class_def.FUNCTION))
 
         for node_id in node_list:

tests/distributed/test_distributed_queue.py

@@ -23,12 +23,13 @@ from comfy.distributed.process_pool_executor import ProcessPoolExecutor
 from comfy.distributed.server_stub import ServerStub
 
 
-def create_test_prompt() -> QueueItem:
+async def create_test_prompt() -> QueueItem:
     from comfy.cmd.execution import validate_prompt
 
     prompt = make_mutable(sdxl_workflow_with_refiner("test", inference_steps=1, refiner_steps=1))
-    validation_tuple = validate_prompt(prompt)
     item_id = str(uuid.uuid4())
+
+    validation_tuple = await validate_prompt(item_id, prompt)
     queue_tuple: QueueTuple = (0, item_id, prompt, {}, validation_tuple[2])
     return QueueItem(queue_tuple, None)
 
@@ -55,7 +56,7 @@ async def test_basic_queue_worker(executor_factory: Callable[..., Executor]) ->
             # now submit some jobs
             distributed_queue = DistributedPromptQueue(ServerStub(), is_callee=False, is_caller=True, connection_uri=f"amqp://guest:guest@127.0.0.1:{params.port}")
             await distributed_queue.init()
-            queue_item = create_test_prompt()
+            queue_item = await create_test_prompt()
             res: TaskInvocation = await distributed_queue.put_async(queue_item)
             assert res.item_id == queue_item.prompt_id
             assert len(res.outputs) == 1
@@ -73,7 +74,7 @@ async def test_distributed_prompt_queues_same_process():
         from comfy.distributed.distributed_prompt_queue import DistributedPromptQueue
         async with DistributedPromptQueue(ServerStub(), is_callee=False, is_caller=True, connection_uri=connection_uri) as frontend:
             async with DistributedPromptQueue(ServerStub(), is_callee=True, is_caller=False, connection_uri=connection_uri) as worker:
-                test_prompt = create_test_prompt()
+                test_prompt = await create_test_prompt()
                 test_prompt.completed = asyncio.Future()
 
                 frontend.put(test_prompt)
@@ -224,8 +225,8 @@ async def test_two_workers_distinct_requests():
         await queue.init()
 
         # Submit two prompts
-        task1 = asyncio.create_task(queue.put_async(create_test_prompt()))
+        task1 = asyncio.create_task(queue.put_async(await create_test_prompt()))
-        task2 = asyncio.create_task(queue.put_async(create_test_prompt()))
+        task2 = asyncio.create_task(queue.put_async(await create_test_prompt()))
 
         # Wait for tasks to complete
         await asyncio.gather(task1, task2)

tests/unit/test_validation.py

@@ -8,6 +8,8 @@ from comfy.cli_args import args
 from comfy.cmd.execution import validate_prompt
 from comfy.nodes_context import nodes
 
+import uuid
+
 valid_prompt: Final[dict] = {
     "1": {
         "inputs": {
@@ -153,15 +155,15 @@ def disable_known_models():
     args.disable_known_models = original_value
 
 
-def test_validate_prompt_valid(mock_nodes):
+async def test_validate_prompt_valid(mock_nodes):
     prompt = valid_prompt
-    result = validate_prompt(prompt)
+    result = await validate_prompt(str(uuid.uuid4()), prompt)
     assert result.valid
     assert result.error is None
     assert set(result.good_output_node_ids) == {"7"}
 
 
-def test_validate_prompt_invalid_node(mock_nodes):
+async def test_validate_prompt_invalid_node(mock_nodes):
     prompt = {
         "1": {
             "inputs": {},
@@ -169,13 +171,13 @@ def test_validate_prompt_invalid_node(mock_nodes):
         },
     }
 
-    result = validate_prompt(prompt)
+    result = await validate_prompt(str(uuid.uuid4()), prompt)
     assert not result.valid
     assert result.error["type"] == "invalid_prompt"
     assert "NonExistentNode" in result.error["message"]
 
 
-def test_prompt_has_no_output(mock_nodes):
+async def test_prompt_has_no_output(mock_nodes):
     prompt = {
         "1": {
             "inputs": {},
@@ -183,12 +185,12 @@ def test_prompt_has_no_output(mock_nodes):
         },
     }
 
-    result = validate_prompt(prompt)
+    result = await validate_prompt(str(uuid.uuid4()), prompt)
     assert not result.valid
     assert result.error["type"] == "prompt_no_outputs"
 
 
-def test_validate_prompt_invalid_input_type(mock_nodes):
+async def test_validate_prompt_invalid_input_type(mock_nodes):
     prompt = valid_prompt.copy()
     prompt["1"] = {
         "inputs": {
@@ -197,7 +199,7 @@ def test_validate_prompt_invalid_input_type(mock_nodes):
         "class_type": "CheckpointLoaderSimple",
     }
 
-    result = validate_prompt(prompt)
+    result = await validate_prompt(str(uuid.uuid4()), prompt)
     assert not result.valid
     assert result.error["type"] == "prompt_outputs_failed_validation"
     assert result.node_errors["1"]["errors"][0]["type"] == "value_not_in_list"
@@ -212,7 +214,7 @@ def test_validate_prompt_invalid_input_type(mock_nodes):
     ("C:\\Windows\\Temp\\model.safetensors", "C:/Windows/Temp/model.safetensors"),
     ("/home/user/models/model.safetensors", "/home/user/models/model.safetensors"),
 ])
-def test_validate_prompt_path_variations(mock_nodes, disable_known_models, ckpt_name, known_model):
+async def test_validate_prompt_path_variations(mock_nodes, disable_known_models, ckpt_name, known_model):
     token = known_models.set([known_model])
 
     try:
@@ -224,23 +226,23 @@ def test_validate_prompt_path_variations(mock_nodes, disable_known_models, ckpt_
             "class_type": "CheckpointLoaderSimple",
         }
 
-        result = validate_prompt(prompt)
+        result = await validate_prompt(str(uuid.uuid4()), prompt)
         assert result.valid, f"Failed for ckpt_name: {ckpt_name}, known_model: {known_model}"
         assert result.error is None, f"Error for ckpt_name: {ckpt_name}, known_model: {known_model}"
     finally:
         known_models.reset(token)
 
 
-def test_validate_prompt_default_models(mock_nodes, disable_known_models):
+async def test_validate_prompt_default_models(mock_nodes, disable_known_models):
     prompt = valid_prompt.copy()
     prompt["1"]["inputs"]["ckpt_name"] = "model1.safetensors"
 
-    result = validate_prompt(prompt)
+    result = await validate_prompt(str(uuid.uuid4()), prompt)
     assert result.valid, "Failed for default model list"
     assert result.error is None, "Error for default model list"
 
 
-def test_validate_prompt_no_outputs(mock_nodes):
+async def test_validate_prompt_no_outputs(mock_nodes):
     prompt = {
         "1": {
             "inputs": {
@@ -250,6 +252,6 @@ def test_validate_prompt_no_outputs(mock_nodes):
         },
     }
 
-    result = validate_prompt(prompt)
+    result = await validate_prompt(str(uuid.uuid4()), prompt)
     assert not result.valid
     assert result.error["type"] == "prompt_no_outputs"