Bump CD ver to 2.3.2 in Manager

sync non local workflow
update ui
2025-08-26 17:38:01 +08:00 · 2025-08-26 16:01:05 +08:00 · 2025-08-26 15:52:45 +08:00 · 2025-08-26 14:56:52 +08:00 · 2025-08-21 19:07:55 +08:00 · 2025-08-21 18:39:39 +08:00
9 changed files with 4783 additions and 681 deletions
@@ -0,0 +1,54 @@
+class ComfyUIDeployExternalNumberSliderInt:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_id": (
+                    "STRING",
+                    {"multiline": False, "default": "input_number_slider_int"},
+                ),
+            },
+            "optional": {
+                "default_value": (
+                    "INT",
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 1, "step": 1},
+                ),
+                "min_value": (
+                    "INT",
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 0, "step": 1},
+                ),
+                "max_value": (
+                    "INT",
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 10, "step": 1},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("value",)
+    FUNCTION = "run"
+    CATEGORY = "🔗ComfyDeploy"
+
+    def run(self, input_id, default_value=None, min_value=0, max_value=10, display_name=None, description=None):
+        try:
+            int_value = int(round(float(input_id)))
+            if min_value <= int_value <= max_value:
+                print("my integer", int_value)
+                return [int_value]
+            else:
+                print("Integer out of range. Returning default value:", default_value)
+                return [default_value]
+        except (ValueError, TypeError):
+            print("Invalid input. Returning default value:", default_value)
+            return [default_value]
+
+NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalNumberSliderInt": ComfyUIDeployExternalNumberSliderInt}
+NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalNumberSliderInt": "External Number Slider Int (ComfyUI Deploy)"}
@@ -748,36 +748,64 @@ class ComfyUIDeployExternalVideo:
                file_parts = f.split(".")
                if len(file_parts) > 1 and (file_parts[-1] in video_extensions):
                    files.append(f)
-        return {"required": {
-                    "input_id": (
-                        "STRING",
-                        {"multiline": False, "default": "input_video"},
-                    ),
-                     "force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
-                     "force_size": (["Disabled", "Custom Height", "Custom Width", "Custom", "256x?", "?x256", "256x256", "512x?", "?x512", "512x512"],),
-                     "custom_width": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
-                     "custom_height": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
-                     "frame_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
-                     "skip_first_frames": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
-                     "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
-                     },
-                "optional": {
-                    "meta_batch": ("VHS_BatchManager",),
-                    "vae": ("VAE",),
-                    "default_video": (sorted(files),),
-                    "display_name": (
-                        "STRING",
-                        {"multiline": False, "default": ""},
-                    ),
-                    "description": (
-                        "STRING",
-                        {"multiline": True, "default": ""},
-                    ),
-                },
-                "hidden": {
-                    "unique_id": "UNIQUE_ID"
-                },
-                }
+        return {
+            "required": {
+                "input_id": (
+                    "STRING",
+                    {"multiline": False, "default": "input_video"},
+                ),
+                "force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
+                "force_size": (
+                    [
+                        "Disabled",
+                        "Custom Height",
+                        "Custom Width",
+                        "Custom",
+                        "256x?",
+                        "?x256",
+                        "256x256",
+                        "512x?",
+                        "?x512",
+                        "512x512",
+                    ],
+                ),
+                "custom_width": (
+                    "INT",
+                    {"default": 512, "min": 0, "max": DIMMAX, "step": 8},
+                ),
+                "custom_height": (
+                    "INT",
+                    {"default": 512, "min": 0, "max": DIMMAX, "step": 8},
+                ),
+                "frame_load_cap": (
+                    "INT",
+                    {"default": 0, "min": 0, "max": BIGMAX, "step": 1},
+                ),
+                "skip_first_frames": (
+                    "INT",
+                    {"default": 0, "min": 0, "max": BIGMAX, "step": 1},
+                ),
+                "select_every_nth": (
+                    "INT",
+                    {"default": 1, "min": 1, "max": BIGMAX, "step": 1},
+                ),
+            },
+            "optional": {
+                "meta_batch": ("VHS_BatchManager",),
+                "vae": ("VAE",),
+                "default_video": (sorted(files),),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+                "default_value_url": ("STRING", {"image_preview": True, "default": ""}),
+            },
+            "hidden": {"unique_id": "UNIQUE_ID"},
+        }

    CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"

@@ -804,16 +832,21 @@ class ComfyUIDeployExternalVideo:
        select_every_nth = kwargs.get("select_every_nth")
        meta_batch = kwargs.get("meta_batch")
        unique_id = kwargs.get("unique_id")
-
+        default_value_url = kwargs.get("default_value_url")

        input_dir = folder_paths.get_input_directory()
-        if input_id.startswith("http"):
+        if input_id.startswith("http") or (
+            default_value_url and default_value_url.startswith("http")
+        ):
            import requests

-            print("Fetching video from URL: ", input_id)
-            response = requests.get(input_id, stream=True)
+            # Use input_id if it's a URL, otherwise use default_value_url
+            url = input_id if input_id.startswith("http") else default_value_url
+
+            print("Fetching video from URL: ", url)
+            response = requests.get(url, stream=True)
            file_size = int(response.headers.get("Content-Length", 0))
-            file_extension = input_id.split(".")[-1].split("?")[
+            file_extension = url.split(".")[-1].split("?")[
                0
            ]  # Extract extension and handle URLs with parameters
            if file_extension not in video_extensions:
@@ -0,0 +1,78 @@
+# In file: comfyui-deploy/comfy-nodes/output_exr.py
+
+import os
+import numpy as np
+import folder_paths
+
+# Try to set up OpenCV for EXR writing.
+try:
+    os.environ["OPENCV_IO_ENABLE_OPENEXR"] = "1"
+    import cv2
+    OPENCV_AVAILABLE = True
+except ImportError:
+    print("Warning: OpenCV not found for ComfyDeployOutputEXR. Please add opencv-python-headless to requirements.txt")
+    OPENCV_AVAILABLE = False
+
+# ALIGNED: Renamed class to match project conventions
+class ComfyDeployOutputEXR:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images": ("IMAGE", ),
+                "filename_prefix": ("STRING", {"default": "ComfyDeploy_EXR"})
+            },
+            # ADDED: Optional output_id for consistency with other ComfyDeploy nodes
+            "optional": {
+                "output_id": ("STRING", {"multiline": False, "default": "output_exr"}),
+            },
+        }
+    
+    RETURN_TYPES = ()
+    # ALIGNED: Changed function name to 'run'
+    FUNCTION = "run"
+    OUTPUT_NODE = True
+    # ALIGNED: Matched the category name
+    CATEGORY = "🔗ComfyDeploy"
+    DESCRIPTION = "Saves the input images as EXR (HDR) files."
+
+    def run(self, images, filename_prefix="ComfyDeploy_EXR", output_id="output_exr"):
+        if not OPENCV_AVAILABLE:
+            raise ImportError("OpenCV is required to save EXR files. Please ensure opencv-python-headless is in requirements.txt.")
+
+        full_output_folder, filename, counter, subfolder, filename_prefix = (
+            folder_paths.get_save_image_path(
+                filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
+            )
+        )
+        results = list()
+
+        for image in images:
+            image_np = image.cpu().numpy()
+
+            if image_np.dtype != np.float32:
+                 image_np = image_np.astype(np.float32)
+
+            file = f"{filename}_{counter:05}.exr"
+            file_path = os.path.join(full_output_folder, file)
+
+            image_np_bgr = cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR)
+            cv2.imwrite(file_path, image_np_bgr)
+
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type,
+                "output_id": output_id, # ADDED
+            })
+            counter += 1
+
+        return {"ui": {"images": results}}
+
+# ALIGNED: Mappings are defined at the bottom of the node file in this project
+NODE_CLASS_MAPPINGS = {"ComfyDeployOutputEXR": ComfyDeployOutputEXR}
+NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployOutputEXR": "EXR Output (ComfyDeploy)"}
@@ -31,6 +31,7 @@ import torch
 import psutil
 from collections import OrderedDict
 import io
+from urllib.parse import urlencode

 # Global session
 client_session = None
@@ -264,7 +265,7 @@ def clear_current_prompt(sid):
    streaming_prompt_metadata[sid].running_prompt_ids.clear()


-def post_prompt(json_data):
+async def post_prompt(json_data):
    prompt_server = server.PromptServer.instance
    json_data = prompt_server.trigger_on_prompt(json_data)

@@ -280,7 +281,48 @@ def post_prompt(json_data):

    if "prompt" in json_data:
        prompt = json_data["prompt"]
-        valid = execution.validate_prompt(prompt)
+        prompt_id = json_data.get("prompt_id") or str(uuid.uuid4())
+
+        partial_execution_targets = None
+        if "partial_execution_targets" in json_data:
+            partial_execution_targets = json_data["partial_execution_targets"]
+
+        # Handle different validate_prompt signatures (newest to oldest)
+        valid = None
+        last_error = None
+
+        # v0.3.48 (3 args)
+        try:
+            valid = await execution.validate_prompt(
+                prompt_id, prompt, partial_execution_targets
+            )
+        except TypeError as e:
+            last_error = e
+            logger.debug(
+                f"validate_prompt with 3 params not supported, trying with 2. Debug: {last_error}"
+            )
+
+        # v0.3.45 - 0.3.47 (2 args)
+        if valid is None:
+            try:
+                valid = await execution.validate_prompt(prompt_id, prompt)
+            except TypeError as e:
+                last_error = e
+                logger.debug(
+                    f"validate_prompt with 2 params not supported, trying legacy signature. Debug: {last_error}"
+                )
+
+        # v0.3.44 or older (1 arg)
+        if valid is None:
+            try:
+                valid = execution.validate_prompt(prompt)
+            except TypeError as e:
+                last_error = e
+                logger.error(
+                    f"validate_prompt failed with all signatures. Last error: {last_error}"
+                )
+                raise
+
        extra_data = {}
        if "extra_data" in json_data:
            extra_data = json_data["extra_data"]
@@ -291,8 +333,6 @@ def post_prompt(json_data):
        if "client_id" in json_data:
            extra_data["client_id"] = json_data["client_id"]
        if valid[0]:
-            # if the prompt id is provided
-            prompt_id = json_data.get("prompt_id") or str(uuid.uuid4())
            outputs_to_execute = valid[2]
            prompt_server.prompt_queue.put(
                (number, prompt_id, prompt, extra_data, outputs_to_execute)
@@ -499,15 +539,15 @@ def send_prompt(sid: str, inputs: StreamingPrompt):

    prompt_id = str(uuid.uuid4())

-    prompt = {
-        "prompt": workflow_api,
-        "client_id": sid,  # "comfy_deploy_instance", #api.client_id
-        "prompt_id": prompt_id,
-        "extra_data": {"extra_pnginfo": {"workflow": workflow}},
-    }
+    # prompt = {
+    #     "prompt": workflow_api,
+    #     "client_id": sid,  # "comfy_deploy_instance", #api.client_id
+    #     "prompt_id": prompt_id,
+    #     "extra_data": {"extra_pnginfo": {"workflow": workflow}},
+    # }

    try:
-        res = post_prompt(prompt)
+        # res = post_prompt(prompt)
        inputs.running_prompt_ids.add(prompt_id)
        prompt_metadata[prompt_id] = SimplePrompt(
            status_endpoint=inputs.status_endpoint,
@@ -518,7 +558,7 @@ def send_prompt(sid: str, inputs: StreamingPrompt):
    except Exception as e:
        error_type = type(e).__name__
        stack_trace_short = traceback.format_exc().strip().split("\n")[-2]
-        stack_trace = traceback.format_exc().strip()
+        # stack_trace = traceback.format_exc().strip()
        logger.info(f"error: {error_type}, {e}")
        logger.info(f"stack trace: {stack_trace_short}")

@@ -594,7 +634,7 @@ async def comfy_deploy_run(request):
    )

    try:
-        res = post_prompt(prompt)
+        res = await post_prompt(prompt)
    except Exception as e:
        error_type = type(e).__name__
        stack_trace_short = traceback.format_exc().strip().split("\n")[-2]
@@ -663,7 +703,7 @@ async def stream_prompt(data, token):
    # log('info', "Begin prompt", prompt=prompt)

    try:
-        res = post_prompt(prompt)
+        res = await post_prompt(prompt)
    except Exception as e:
        error_type = type(e).__name__
        stack_trace_short = traceback.format_exc().strip().split("\n")[-2]
@@ -1265,22 +1305,11 @@ def handle_execute(class_type, last_node_id, prompt_id, server, unique_id):

 try:
    origin_execute = execution.execute
+    is_async = asyncio.iscoroutinefunction(origin_execute)

-    def swizzle_execute(
-        server,
-        dynprompt,
-        caches,
-        current_item,
-        extra_data,
-        executed,
-        prompt_id,
-        execution_list,
-        pending_subgraph_results,
-    ):
-        unique_id = current_item
-        class_type = dynprompt.get_node(unique_id)["class_type"]
-        last_node_id = server.last_node_id
-        result = origin_execute(
+    if is_async:
+
+        async def swizzle_execute(
            server,
            dynprompt,
            caches,
@@ -1290,12 +1319,61 @@ try:
            prompt_id,
            execution_list,
            pending_subgraph_results,
-        )
-        handle_execute(class_type, last_node_id, prompt_id, server, unique_id)
-        return result
+            pending_async_nodes,
+        ):
+            unique_id = current_item
+            class_type = dynprompt.get_node(unique_id)["class_type"]
+            last_node_id = server.last_node_id
+
+            result = await origin_execute(
+                server,
+                dynprompt,
+                caches,
+                current_item,
+                extra_data,
+                executed,
+                prompt_id,
+                execution_list,
+                pending_subgraph_results,
+                pending_async_nodes,
+            )
+
+            handle_execute(class_type, last_node_id, prompt_id, server, unique_id)
+            return result
+    else:
+
+        def swizzle_execute(
+            server,
+            dynprompt,
+            caches,
+            current_item,
+            extra_data,
+            executed,
+            prompt_id,
+            execution_list,
+            pending_subgraph_results,
+        ):
+            unique_id = current_item
+            class_type = dynprompt.get_node(unique_id)["class_type"]
+            last_node_id = server.last_node_id
+
+            result = origin_execute(
+                server,
+                dynprompt,
+                caches,
+                current_item,
+                extra_data,
+                executed,
+                prompt_id,
+                execution_list,
+                pending_subgraph_results,
+            )
+
+            handle_execute(class_type, last_node_id, prompt_id, server, unique_id)
+            return result

    execution.execute = swizzle_execute
-except Exception as e:
+except Exception:
    pass


@@ -1439,10 +1517,6 @@ async def send_json_override(self, event, data, sid=None):
            logger.info(format_table(headers, table_data))
            # print("========================\n")

-            timeline = format_execution_timeline(NODE_EXECUTION_TIMES)
-            logger.info(f"\nNode Execution Timeline:\n{timeline}")
-            # Clear the execution times for the next run
-
    # the last executing event is none, then the workflow is finished
    if event == "executing" and data.get("node") is None:
        mark_prompt_done(prompt_id=prompt_id)
@@ -2058,6 +2132,7 @@ async def upload_in_background(
                ("model_file", "format", "application/octet-stream"),
                ("result", "format", "application/octet-stream"),
                ("text_file", "format", "text/plain"),
+                ("audio", "format", "audio/mpeg"),
            ]:
                items = data.get(file_type, [])

@@ -2145,6 +2220,7 @@ async def update_run_with_output(
            or "model_file" in data
            or "result" in data
            or "text_file" in data
+            or "audio" in data
        )
    if bypass_upload and have_upload_media:
        print(
@@ -2753,51 +2829,57 @@ class UploadQueue:
                    logger.error(f"Upload failed: {str(e)}")
                    logger.error(traceback.format_exc())
                finally:
-                    # Remove this upload from tracking
-                    if prompt_id in self.pending_uploads:
-                        self.pending_uploads[prompt_id].discard(upload_id)
-                        # Remove from node tracking if applicable
-                        if (
-                            node_id
-                            and prompt_id in self.node_uploads
-                            and node_id in self.node_uploads[prompt_id]
-                        ):
-                            self.node_uploads[prompt_id][node_id].discard(upload_id)
+                    async with self.lock:  # Acquire lock to protect shared dict access
+                        if prompt_id in self.pending_uploads:
+                            self.pending_uploads[prompt_id].discard(upload_id)

-                            # If this was the last upload for this node, clean up node data
-                            if not self.node_uploads[prompt_id][node_id]:
-                                del self.node_uploads[prompt_id][node_id]
-                                if self.node_output_data[prompt_id][node_id]["data"]:
-                                    # Send final node data to API before cleanup
-                                    if prompt_metadata[prompt_id].status_endpoint:
-                                        body = {
-                                            "run_id": prompt_id,
-                                            "output_data": self.node_output_data[
-                                                prompt_id
-                                            ][node_id]["data"],
-                                            "node_meta": {"node_id": node_id},
-                                        }
-                                        try:
-                                            await async_request_with_retry(
-                                                "POST",
-                                                prompt_metadata[
-                                                    prompt_id
-                                                ].status_endpoint,
-                                                token=prompt_metadata[prompt_id].token,
-                                                json=body,
-                                            )
-                                        except Exception as e:
-                                            logger.error(
-                                                f"Failed to send final node data: {str(e)}"
-                                            )
-                                del self.node_output_data[prompt_id][node_id]
+                            if (
+                                node_id
+                                and prompt_id in self.node_uploads
+                                and node_id in self.node_uploads[prompt_id]
+                            ):
+                                self.node_uploads[prompt_id][node_id].discard(upload_id)

-                        # Send status update
-                        await self.update_queue_status(prompt_id)
+                                if not self.node_uploads[prompt_id][node_id]:
+                                    del self.node_uploads[prompt_id][node_id]
+
+                                    if (
+                                        prompt_id in self.node_output_data
+                                        and node_id in self.node_output_data[prompt_id]
+                                    ):
+                                        node_data = self.node_output_data[prompt_id][
+                                            node_id
+                                        ]
+                                        if node_data["data"]:
+                                            body = {
+                                                "run_id": prompt_id,
+                                                "output_data": node_data["data"],
+                                                "node_meta": {"node_id": node_id},
+                                            }
+                                            try:
+                                                await async_request_with_retry(
+                                                    "POST",
+                                                    prompt_metadata[
+                                                        prompt_id
+                                                    ].status_endpoint,
+                                                    token=prompt_metadata[
+                                                        prompt_id
+                                                    ].token,
+                                                    json=body,
+                                                )
+                                            except Exception as e:
+                                                logger.error(
+                                                    f"Failed to send final node data: {str(e)}"
+                                                )
+
+                                        # Safe to delete now (re-check not strictly needed with lock, but harmless)
+                                        del self.node_output_data[prompt_id][node_id]

                        # If no more pending uploads for this prompt and it's done, update status
-                        if not self.pending_uploads[prompt_id] and is_prompt_done(
-                            prompt_id
+                        if (
+                            prompt_id in self.pending_uploads
+                            and not self.pending_uploads[prompt_id]
+                            and is_prompt_done(prompt_id)
                        ):
                            # Clean up all data for this prompt
                            if prompt_id in self.node_uploads:
@@ -2810,9 +2892,12 @@ class UploadQueue:
                            loop.create_task(update_run(prompt_id, Status.SUCCESS))
                            loop.create_task(send("success", {"prompt_id": prompt_id}))

-                    # Mark task as done
+                    # Mark task as done (outside lock to avoid holding it unnecessarily)
                    self.queue.task_done()

+                    # Send status update (also outside lock)
+                    await self.update_queue_status(prompt_id)
+
            except Exception as e:
                logger.error(f"Error in upload worker: {str(e)}")
                logger.error(traceback.format_exc())
@@ -2883,3 +2968,317 @@ def format_execution_timeline(execution_times):
        current_time += duration

    return format_table(headers, rows)
+
+
+@server.PromptServer.instance.routes.get("/comfyui-deploy/auth-response")
+async def auth_response_proxy(request):
+    request_id = request.rel_url.query.get("request_id")
+    api_url = request.rel_url.query.get("api_url", "https://api.comfydeploy.com")
+
+    if not request_id:
+        return web.json_response({"error": "request_id is required"}, status=400)
+
+    target_url = f"{api_url}/api/platform/comfyui/auth-response?request_id={request_id}"
+
+    try:
+        await ensure_client_session()
+        async with client_session.get(target_url) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+@server.PromptServer.instance.routes.post("/comfyui-deploy/workflow")
+async def create_workflow_proxy(request):
+    data = await request.json()
+    name = data.get("name")
+    workflow_json = data.get("workflow_json")
+    workflow_api = data.get("workflow_api")
+    machine_id = data.get("machine_id")
+    api_url = data.get("api_url", "https://api.comfydeploy.com")
+
+    auth_header = request.headers.get("Authorization")
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    if not name or not workflow_json or not workflow_api:
+        return web.json_response(
+            {"error": "name, workflow_json, workflow_api are required"}, status=400
+        )
+
+    target_url = f"{api_url}/api/workflow"
+
+    request_body = {
+        "name": name,
+        "workflow_json": json.dumps(workflow_json),
+        "workflow_api": json.dumps(workflow_api),
+        "machine_id": machine_id,
+    }
+
+    try:
+        await ensure_client_session()
+        async with client_session.post(
+            target_url,
+            json=request_body,
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": auth_header,
+            },
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+@server.PromptServer.instance.routes.post("/comfyui-deploy/workflow/version")
+async def create_workflow_version_proxy(request):
+    data = await request.json()
+    workflow_id = data.get("workflow_id")
+    workflow = data.get("workflow")
+    workflow_api = data.get("workflow_api")
+    comment = data.get("comment", "")
+    api_url = data.get("api_url", "https://api.comfydeploy.com")
+
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/workflow/{workflow_id}/version"
+
+    request_body = {
+        "workflow": workflow,
+        "workflow_api": workflow_api,
+        "comment": comment,
+    }
+
+    try:
+        await ensure_client_session()
+        async with client_session.post(
+            target_url,
+            json=request_body,
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": auth_header,
+            },
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+@server.PromptServer.instance.routes.get("/comfyui-deploy/workflows")
+async def get_workflows_proxy(request):
+    api_url = request.rel_url.query.get("api_url", "https://api.comfydeploy.com")
+    search = request.rel_url.query.get("search", "")
+    limit = request.rel_url.query.get("limit", 10)
+    offset = request.rel_url.query.get("offset", 0)
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    # Build query parameters properly
+    params = {}
+    if search:
+        params["search"] = search
+    if limit:
+        params["limit"] = limit
+    if offset:
+        params["offset"] = offset
+
+    target_url = f"{api_url}/api/workflows"
+    if params:
+        target_url += f"?{urlencode(params)}"
+
+    try:
+        await ensure_client_session()
+        async with client_session.get(
+            target_url,
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": auth_header,
+            },
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+# for getting a workflow by id
+@server.PromptServer.instance.routes.get("/comfyui-deploy/workflow")
+async def get_workflow_proxy(request):
+    workflow_id = request.rel_url.query.get("workflow_id")
+    api_url = request.rel_url.query.get("api_url", "https://api.comfydeploy.com")
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/workflow/{workflow_id}"
+
+    try:
+        await ensure_client_session()
+        async with client_session.get(
+            target_url, headers={"Authorization": auth_header}
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+# for getting a machine by id
+@server.PromptServer.instance.routes.get("/comfyui-deploy/machine")
+async def get_machine_proxy(request):
+    machine_id = request.rel_url.query.get("machine_id")
+    api_url = request.rel_url.query.get("api_url", "https://api.comfydeploy.com")
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/machine/{machine_id}"
+
+    try:
+        await ensure_client_session()
+        async with client_session.get(
+            target_url, headers={"Authorization": auth_header}
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+# for fetching docker steps from current snapshot
+@server.PromptServer.instance.routes.post("/comfyui-deploy/snapshot-to-docker")
+async def snapshot_to_docker_proxy(request):
+    data = await request.json()
+    snapshot = data.get("snapshot")
+    api_url = data.get("api_url", "https://api.comfydeploy.com")
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/snapshot-to-docker"
+
+    request_body = snapshot
+
+    try:
+        await ensure_client_session()
+        async with client_session.post(
+            target_url, json=request_body, headers={"Authorization": auth_header}
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+# update a serverless machine with machine id
+@server.PromptServer.instance.routes.post("/comfyui-deploy/machine/update")
+async def update_machine_proxy(request):
+    data = await request.json()
+    machine_id = data.get("machine_id")
+    comfyui_version = data.get("comfyui_version", None)
+    docker_steps = data.get("docker_steps")
+    api_url = data.get("api_url", "https://api.comfydeploy.com")
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/machine/serverless/{machine_id}"
+
+    request_body = {"docker_command_steps": docker_steps}
+
+    if comfyui_version:
+        request_body["comfyui_version"] = comfyui_version
+
+    try:
+        await ensure_client_session()
+        async with client_session.patch(
+            target_url, json=request_body, headers={"Authorization": auth_header}
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+@server.PromptServer.instance.routes.post("/comfyui-deploy/machine/create")
+async def create_machine_proxy(request):
+    data = await request.json()
+    name = data.get("name")
+    docker_command_steps = data.get("docker_command_steps")
+    comfyui_version = data.get("comfyui_version")
+    api_url = data.get("api_url", "https://api.comfydeploy.com")
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/machine/serverless"
+
+    request_body = {
+        "name": name,
+        "docker_command_steps": docker_command_steps,
+        "comfyui_version": comfyui_version,
+        "gpu": "A10G",
+    }
+
+    try:
+        await ensure_client_session()
+        async with client_session.post(
+            target_url, json=request_body, headers={"Authorization": auth_header}
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
+
+
+# get latest comfyui version
+@server.PromptServer.instance.routes.get("/comfyui-deploy/comfyui-version")
+async def get_comfyui_version_proxy(request):
+    api_url = request.rel_url.query.get("api_url", "https://api.comfydeploy.com")
+    auth_header = request.headers.get("Authorization")
+
+    if not auth_header:
+        return web.json_response(
+            {"error": "Authorization header is required"}, status=401
+        )
+
+    target_url = f"{api_url}/api/latest-hashes"
+
+    try:
+        await ensure_client_session()
+        async with client_session.get(
+            target_url, headers={"Authorization": auth_header}
+        ) as response:
+            json_data = await response.json()
+            return web.json_response(json_data, status=response.status)
+    except Exception as e:
+        return web.json_response({"error": str(e)}, status=500)
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-deploy"
 description = "Open source comfyui deployment platform, a vercel for generative workflow infra."
-version = "2.1.0"
+version = "2.3.2"
 license = { file = "LICENSE" }
 dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg", "tabulate", "brotli"]

@@ -0,0 +1,82 @@
+// Snapshot Utilities
+// Centralized snapshot fetching with ComfyUI version fallback
+
+/**
+ * Fetches the current snapshot with ComfyUI version fallback
+ * If the snapshot response has null comfyui field, it will fetch the latest ComfyUI version
+ * and update the snapshot with the comfyui_hash
+ *
+ * @param {Function} getDataFn - Function that returns { apiKey, apiUrl } for ComfyUI version API calls
+ * @returns {Promise<Object>} - The snapshot data with comfyui field populated
+ */
+export async function fetchSnapshot(getDataFn = null) {
+  try {
+    // Fetch the current snapshot
+    const response = await fetch("/snapshot/get_current");
+    if (!response.ok) {
+      throw new Error(`Snapshot fetch failed: ${response.status}`);
+    }
+
+    const snapshot = await response.json();
+
+    // Check if comfyui field is null and we have getDataFn for fallback
+    if (snapshot.comfyui === null && getDataFn) {
+      console.log(
+        "ComfyUI version is null in snapshot, fetching latest version..."
+      );
+
+      try {
+        const data = getDataFn();
+        if (data && data.apiKey) {
+          const comfyuiVersionResponse = await fetch(
+            `/comfyui-deploy/comfyui-version?api_url=${encodeURIComponent(
+              data.apiUrl || "https://api.comfydeploy.com"
+            )}`,
+            {
+              headers: {
+                Authorization: `Bearer ${data.apiKey}`,
+              },
+            }
+          );
+
+          if (comfyuiVersionResponse.ok) {
+            const versionData = await comfyuiVersionResponse.json();
+            if (versionData.comfyui_hash) {
+              console.log(
+                `Using ComfyUI hash from API: ${versionData.comfyui_hash}`
+              );
+              snapshot.comfyui = versionData.comfyui_hash;
+            }
+          } else {
+            console.warn(
+              "Failed to fetch ComfyUI version from API:",
+              comfyuiVersionResponse.status
+            );
+          }
+        }
+      } catch (error) {
+        console.warn("Error fetching ComfyUI version fallback:", error);
+        // Continue with original snapshot even if fallback fails
+      }
+    }
+
+    return snapshot;
+  } catch (error) {
+    console.error("Error fetching snapshot:", error);
+    throw error;
+  }
+}
+
+/**
+ * Simple snapshot fetch without ComfyUI version fallback
+ * Use this when you don't need the ComfyUI version fallback logic
+ *
+ * @returns {Promise<Object>} - The snapshot data as-is
+ */
+export async function fetchSnapshotSimple() {
+  const response = await fetch("/snapshot/get_current");
+  if (!response.ok) {
+    throw new Error(`Snapshot fetch failed: ${response.status}`);
+  }
+  return response.json();
+}
@@ -0,0 +1,417 @@
+// Workflow list management
+let workflowsState = {
+  workflows: [],
+  offset: 0,
+  limit: 20,
+  loading: false,
+  hasMore: true,
+  initialized: false,
+  currentSearch: "",
+};
+
+// Make workflowsState accessible globally
+window.workflowsState = workflowsState;
+
+async function fetchWorkflows(getData, offset = 0, limit = 20, search = "") {
+  try {
+    const data = getData();
+    if (!data.apiKey) {
+      throw new Error("API key not configured");
+    }
+
+    const params = new URLSearchParams({
+      offset: offset.toString(),
+      limit: limit.toString(),
+      api_url: data.apiUrl || "https://api.comfydeploy.com",
+      ...(search && { search }),
+    });
+
+    const response = await fetch(`/comfyui-deploy/workflows?${params}`, {
+      method: "GET",
+      headers: {
+        Authorization: `Bearer ${data.apiKey}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      throw new Error(`Failed to fetch workflows: ${response.status}`);
+    }
+
+    const result = await response.json();
+    console.log("result", result);
+    return Array.isArray(result) ? result : [];
+  } catch (error) {
+    console.error("Error fetching workflows:", error);
+    return [];
+  }
+}
+
+function createWorkflowItem(workflow, getTimeAgo, getData) {
+  const li = document.createElement("li");
+  let loadingToast = null;
+  li.style.cssText = `
+      border-bottom: 1px solid #444;
+      background: transparent;
+      transition: all 0.2s ease;
+      cursor: pointer;
+    `;
+
+  li.addEventListener("mouseenter", () => {
+    li.style.background = "#333";
+  });
+
+  li.addEventListener("mouseleave", () => {
+    li.style.background = "transparent";
+  });
+
+  // Add click handler to fetch and load workflow data
+  li.addEventListener("click", async () => {
+    try {
+      const data = getData();
+      if (!data.apiKey) {
+        console.error("No API key configured");
+        return;
+      }
+
+      // Show loading toast
+      loadingToast = window.app.extensionManager.toast.add({
+        severity: "info",
+        summary: "Loading workflow...",
+        detail: `Loading "${workflow.name}"`,
+        life: 3000,
+      });
+
+      const params = new URLSearchParams({
+        workflow_id: workflow.id,
+        api_url: data.apiUrl || "https://api.comfydeploy.com",
+      });
+
+      const response = await fetch(`/comfyui-deploy/workflow?${params}`, {
+        method: "GET",
+        headers: {
+          Authorization: `Bearer ${data.apiKey}`,
+          "Content-Type": "application/json",
+        },
+      });
+
+      if (!response.ok) {
+        throw new Error(`Failed to fetch workflow: ${response.status}`);
+      }
+
+      const workflowData = await response.json();
+      console.log("Workflow data:", workflowData);
+
+      // Load the workflow into the graph
+      if (workflowData.versions && workflowData.versions.length > 0) {
+        const latestVersion = workflowData.versions[0];
+        if (latestVersion.workflow && window.app) {
+          // Load the workflow
+          window.app.loadGraphData(latestVersion.workflow);
+
+          // Wait a bit for the graph to fully load before checking for ComfyDeploy node
+          await new Promise((resolve) => setTimeout(resolve, 100));
+
+          // Check if ComfyDeploy node exists, if not add it back
+          const graph = window.app.graph;
+          let deployMeta = graph.findNodesByType("ComfyDeploy");
+
+          if (deployMeta.length === 0) {
+            // Add ComfyDeploy node with workflow metadata
+            graph.beforeChange();
+            const node = LiteGraph.createNode("ComfyDeploy");
+            node.configure({
+              widgets_values: [
+                workflow.name, // workflow_name
+                workflow.id, // workflow_id
+                latestVersion.version, // version
+              ],
+            });
+            node.pos = [0, 0];
+            graph.add(node);
+            graph.afterChange();
+
+            console.log(
+              `Added ComfyDeploy node with: name="${workflow.name}", id="${workflow.id}", version="${latestVersion.version}"`
+            );
+          }
+
+          // Show success toast
+          window.app.extensionManager.toast.add({
+            severity: "success",
+            summary: "Workflow loaded successfully",
+            detail: `Loaded "${workflow.name}" v${latestVersion.version}`,
+            life: 3000,
+          });
+        }
+      }
+    } catch (error) {
+      console.error("Error loading workflow:", error);
+      // Show error toast
+      window.app.extensionManager.toast.add({
+        severity: "error",
+        summary: "Failed to load workflow",
+        detail: error.message,
+        life: 5000,
+      });
+    } finally {
+      if (loadingToast) {
+        loadingToast.close();
+      }
+    }
+  });
+
+  const updatedDate = new Date(workflow.updated_at);
+  const timeAgo = getTimeAgo(updatedDate);
+
+  li.innerHTML = `
+      <div style="padding: 12px 16px;">
+        <div style="display: flex; align-items: flex-start; gap: 12px;">
+          ${
+            workflow.cover_image
+              ? `<img src="${workflow.cover_image}" 
+                     style="width: 40px; height: 40px; border-radius: 4px; object-fit: cover; flex-shrink: 0;"
+                     onerror="this.style.display='none'">`
+              : `<div style="width: 40px; height: 40px; border-radius: 4px; background: #444; flex-shrink: 0; display: flex; align-items: center; justify-content: center; font-size: 14px; color: #888;">
+                   ${workflow.name.charAt(0).toUpperCase()}
+                 </div>`
+          }
+          
+          <div style="flex: 1; min-width: 0;">
+            <div style="display: flex; align-items: center; gap: 8px; margin-bottom: 4px;">
+              <h4 style="margin: 0; font-size: 14px; font-weight: 400; color: #fff; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">
+                ${workflow.name}
+              </h4>
+              ${
+                workflow.pinned
+                  ? `<span style="color: #ffd700; font-size: 12px;">📌</span>`
+                  : ""
+              }
+            </div>
+            
+            ${
+              workflow.description
+                ? `<p style="margin: 0 0 8px 0; font-size: 12px; color: #bbb; line-height: 1.3; overflow: hidden; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical;">
+                     ${workflow.description}
+                   </p>`
+                : ""
+            }
+            
+            <div style="display: flex; align-items: center; gap: 8px; margin-top: 8px;">
+              <img src="${workflow.user_icon}" 
+                   style="width: 16px; height: 16px; border-radius: 50%;"
+                   onerror="this.style.display='none'">
+              <span style="font-size: 11px; color: #888;">
+                ${workflow.user_name} • Updated ${timeAgo}
+              </span>
+            </div>
+          </div>
+        </div>
+      </div>
+    `;
+
+  return li;
+}
+
+async function loadMoreWorkflows(element, getData, getTimeAgo) {
+  if (workflowsState.loading || !workflowsState.hasMore) return;
+
+  workflowsState.loading = true;
+
+  const workflowsList = element.querySelector("#workflows-list");
+  const workflowsLoading = element.querySelector("#workflows-loading");
+
+  // Show loading indicator
+  workflowsLoading.style.display = "flex";
+
+  try {
+    const newWorkflows = await fetchWorkflows(
+      getData,
+      workflowsState.offset,
+      workflowsState.limit,
+      workflowsState.currentSearch
+    );
+
+    if (newWorkflows.length === 0) {
+      workflowsState.hasMore = false;
+    } else {
+      workflowsState.workflows.push(...newWorkflows);
+      workflowsState.offset += newWorkflows.length;
+
+      // Render new workflow items
+      newWorkflows.forEach((workflow) => {
+        const workflowItem = createWorkflowItem(workflow, getTimeAgo, getData);
+        workflowsList.appendChild(workflowItem);
+      });
+    }
+  } catch (error) {
+    console.error("Error loading more workflows:", error);
+  } finally {
+    workflowsState.loading = false;
+    workflowsLoading.style.display = "none";
+  }
+}
+
+function setupInfiniteScroll(container, element, getData, getTimeAgo) {
+  let isScrolling = false;
+
+  container.addEventListener("scroll", () => {
+    if (isScrolling) return;
+
+    const { scrollTop, scrollHeight, clientHeight } = container;
+
+    // Load more when scrolled to bottom (with 100px threshold)
+    if (scrollTop + clientHeight >= scrollHeight - 100) {
+      isScrolling = true;
+      loadMoreWorkflows(element, getData, getTimeAgo).finally(() => {
+        isScrolling = false;
+      });
+    }
+  });
+}
+
+async function initializeWorkflowsList(element, getData, getTimeAgo) {
+  const workflowsContainer = element.querySelector("#workflows-container");
+  const workflowsList = element.querySelector("#workflows-list");
+  const workflowsLoading = element.querySelector("#workflows-loading");
+
+  // Check if already initialized AND the DOM elements still exist
+  if (
+    workflowsState.initialized &&
+    workflowsList &&
+    workflowsList.children.length > 0
+  )
+    return;
+
+  try {
+    // Reset state (always reset when reinitializing)
+    workflowsState = {
+      workflows: [],
+      offset: 0,
+      limit: 20,
+      loading: false,
+      hasMore: true,
+      initialized: true,
+      currentSearch: "",
+    };
+
+    // Clear existing content in case of reinitialization
+    if (workflowsList) {
+      workflowsList.innerHTML = "";
+    }
+
+    // Show container and loading
+    workflowsContainer.style.display = "block";
+    workflowsLoading.style.display = "flex";
+
+    // Style the workflows list for full height scrolling
+    workflowsList.style.cssText = `
+        list-style-type: none;
+        padding: 0;
+        margin: 0;
+        height: calc(100vh - 550px);
+        overflow-y: auto;
+        scrollbar-width: thin;
+        scrollbar-color: #666 transparent;
+        border-top: 1px solid #444;
+      `;
+
+    // Add webkit scrollbar styles
+    const style = document.createElement("style");
+    style.textContent = `
+        #workflows-list::-webkit-scrollbar {
+          width: 6px;
+        }
+        #workflows-list::-webkit-scrollbar-track {
+          background: transparent;
+        }
+        #workflows-list::-webkit-scrollbar-thumb {
+          background: #666;
+          border-radius: 3px;
+        }
+        #workflows-list::-webkit-scrollbar-thumb:hover {
+          background: #777;
+        }
+      `;
+    document.head.appendChild(style);
+
+    // Setup infinite scroll
+    setupInfiniteScroll(workflowsList, element, getData, getTimeAgo);
+
+    // Load initial workflows
+    await loadMoreWorkflows(element, getData, getTimeAgo);
+
+    // Show the list
+    workflowsList.style.display = "block";
+  } catch (error) {
+    console.error("Error initializing workflows list:", error);
+    workflowsLoading.innerHTML = `
+        <div style="text-align: center; color: #e74c3c; font-size: 12px; padding: 20px;">
+          <div>Failed to load workflows</div>
+          <button onclick="initializeWorkflowsList(this.closest('.comfy-menu'), getData, getTimeAgo)" 
+                  style="margin-top: 8px; padding: 4px 8px; font-size: 11px; background: #f0f0f0; border: 1px solid #ccc; border-radius: 4px; cursor: pointer;">
+            Retry
+          </button>
+        </div>
+      `;
+  }
+}
+
+// Search functionality
+function addWorkflowSearch(element, getData, getTimeAgo) {
+  const workflowsContainer = element.querySelector("#workflows-container");
+  const h4 = workflowsContainer.querySelector("h4");
+
+  const searchContainer = document.createElement("div");
+  searchContainer.style.cssText = "margin-bottom: 12px;";
+
+  const searchInput = document.createElement("input");
+  searchInput.type = "text";
+  searchInput.placeholder = "Search workflows...";
+  searchInput.style.cssText = `
+      width: 100%;
+      padding: 8px 12px;
+      border: 1px solid #555;
+      border-radius: 6px;
+      font-size: 12px;
+      box-sizing: border-box;
+      background: #333;
+      color: #fff;
+    `;
+
+  let searchTimeout;
+  searchInput.addEventListener("input", (e) => {
+    clearTimeout(searchTimeout);
+    searchTimeout = setTimeout(async () => {
+      const searchTerm = e.target.value.trim();
+
+      // Update the tracked search term
+      workflowsState.currentSearch = searchTerm;
+
+      // Reset state for new search
+      workflowsState.workflows = [];
+      workflowsState.offset = 0;
+      workflowsState.hasMore = true;
+
+      // Clear current list
+      const workflowsList = element.querySelector("#workflows-list");
+      workflowsList.innerHTML = "";
+
+      // Load with search term
+      workflowsState.loading = false;
+      await loadMoreWorkflows(element, getData, getTimeAgo);
+    }, 300);
+  });
+
+  searchContainer.appendChild(searchInput);
+  h4.after(searchContainer);
+}
+
+// Export the functions
+export {
+  initializeWorkflowsList,
+  addWorkflowSearch,
+  workflowsState,
+  fetchWorkflows,
+  loadMoreWorkflows,
+};
Author	SHA1	Message	Date
KarrixLee	d7fb688522	Bump CD ver to 2.3.2 in Manager	2025-08-26 17:38:01 +08:00
KarrixLee	b98ae10a76	sync non local workflow	2025-08-26 16:01:05 +08:00
KarrixLee	b79ed40f6d	update ui	2025-08-26 15:52:45 +08:00
KarrixLee	06ae3af5d0	refresh the machine list automatically	2025-08-26 14:56:52 +08:00
KarrixLee	967709dd07	Bump CD ver to 2.3.1 in Manager	2025-08-21 19:07:55 +08:00
KarrixLee	07a827d56b	Local: Sync serverless machine (#105 ) * initt: add machine management functionality - Implemented a new endpoint in custom_routes.py to retrieve machine details by ID. - Introduced machine-manager.js to handle machine data fetching, display, and local storage management. - Updated index.js to initialize the machine manager and display machine information in the UI. - Adjusted workflow-list.js to modify the layout for better integration with the new machine management features. These changes enhance the application's capability to manage and display serverless machine information effectively. * refactor: enhance machine management UI and functionality - Removed console error logs for improved user experience during initialization. - Updated the display styles for "No machine found" and error messages to enhance visual clarity. - Added buttons for adding and updating machines directly from the error and no machine states. - Implemented a dialog for adding and updating machine IDs, improving user interaction. - Adjusted the machine addition process to show loading states and ensure proper DOM updates. These changes significantly improve the usability and functionality of the machine management feature. * add: machine id when create * remove unused code * fetch docker steps in backend * compare list * can sync machine * add: create machine from local * add error * add: blacklist node * refactor: improve snapshot fetching and UI adjustments - Introduced centralized snapshot fetching utilities in snapshot-utils.js, including a fallback for ComfyUI version retrieval. - Updated machine-manager.js to utilize the new snapshot fetching methods, enhancing error handling and code clarity. - Adjusted index.js to streamline snapshot fetching during workflow deployment. - Made minor UI adjustments in workflow-list.js for better layout consistency. These changes enhance the application's robustness in handling snapshots and improve overall user experience. * small tweak * tweak machine display * chore: version to 2.3.0	2025-08-21 18:39:39 +08:00
KarrixLee	7f6eea361e	tweak: add tutorial complete to true by default (#104 )	2025-08-18 00:19:57 +08:00
KarrixLee	14829a2b12	Comfyui 0.3.48 compatibility (#102 ) * refactor: support 3 attribute for the validation prompt * add: comments for clarification	2025-08-04 17:23:12 +08:00
KarrixLee	03c4e2d85d	Add audio file upload support	2025-07-26 18:37:09 +08:00
KarrixLee	bad8b1104f	Fix comfyui 0.3.45 (#100 ) * Refactor post_prompt function to include prompt_id handling - Updated the post_prompt function in custom_routes.py to retrieve and validate a prompt_id from the incoming JSON data, defaulting to a new UUID if not provided. - Adjusted the validation call to use prompt_id alongside the prompt, ensuring proper identification and processing of prompts. These changes enhance the functionality of prompt handling within the application. * Refactor post_prompt and send_prompt functions for async handling - Updated the post_prompt function to be asynchronous, allowing for non-blocking execution when validating prompts. - Adjusted calls to post_prompt in send_prompt and comfy_deploy_run to await the asynchronous execution, ensuring proper handling of prompt submissions. - Commented out unused prompt construction code to streamline the function. These changes enhance the performance and responsiveness of prompt handling in the application. * Refactor handle_execute to support asynchronous execution - Updated the swizzle_execute function to be asynchronous, allowing for non-blocking execution of the origin_execute function. - Added missing parameters for pending_async_nodes in the swizzle_execute function call. - Ensured that the result from origin_execute is awaited, improving the handling of asynchronous operations. These changes enhance the performance and responsiveness of the execution handling in the application. * Enhance error handling in post_prompt and origin_execute functions - Added try-except blocks in post_prompt to handle TypeErrors during prompt validation, allowing for fallback to an older signature. - Implemented similar error handling in the origin_execute function to manage potential TypeErrors, ensuring robust execution flow. - Improved logging to capture issues with function signatures, aiding in debugging. These changes improve the resilience of the application when dealing with prompt and execution validation. * Refactor post_prompt and origin_execute for synchronous handling - Modified the post_prompt function to call validate_prompt synchronously when a TypeError occurs, improving error handling. - Updated the origin_execute function to execute synchronously, ensuring consistent behavior during execution. These changes enhance the robustness of prompt validation and execution processes in the application. * tweak: optional * Refactor swizzle_execute for async and sync handling - Enhanced the swizzle_execute function to differentiate between asynchronous and synchronous execution paths based on the origin_execute function's nature. - Improved the structure of the swizzle_execute function to ensure proper handling of parameters and execution flow for both async and sync scenarios. - Maintained existing error handling while ensuring consistent behavior across execution types. These changes improve the flexibility and robustness of the execution handling in the application.	2025-07-23 16:12:35 -07:00
KarrixLee	ac8779dc54	fix	2025-07-19 10:24:04 -07:00
KarrixLee	2a5223f2f0	fix	2025-06-29 15:43:12 +08:00
KarrixLee	f02aef4cb3	tweak versoin	2025-06-29 13:37:24 +08:00
KarrixLee	22458a1cd6	Merge branch 'local-flow-2'	2025-06-27 14:10:10 +08:00
Tristan-mc-qandtristan22mc	0a58eba554	feat: Add deployable EXR saver node (#98 ) Co-authored-by: tristan22mc <tristan22mc@gmail.com>	2025-06-26 14:07:48 -07:00
KarrixLee	def54df9c2	tweak	2025-06-17 18:37:02 +08:00
KarrixLee	32a950afe8	tweak	2025-06-17 18:07:43 +08:00
KarrixLee	8130779d94	Enhance configuration saving and workflow list management - Updated the save method in ConfigDialog to be asynchronous, allowing for smoother handling of configuration saves. - Added a new function to refresh the workflow list if the sidebar is open, ensuring the UI reflects the latest data after configuration changes. - Made workflowsState globally accessible for improved state management across components. - Adjusted the height of the workflows list for better UI layout. These changes improve the user experience by ensuring that the workflow list is up-to-date and enhancing the overall responsiveness of the configuration dialog.	2025-06-16 21:25:33 +08:00
KarrixLee	4cbd2a8225	Add workflow retrieval functionality and enhance UI interaction - Introduced a new endpoint in custom_routes.py for fetching workflows by ID, including authorization checks and error handling. - Updated workflow-list.js to support fetching and displaying workflow data upon user interaction, including loading indicators and error handling. - Enhanced the createWorkflowItem function to accept additional parameters for improved data handling and user feedback. These changes improve the user experience by enabling seamless workflow retrieval and interaction within the application.	2025-06-16 21:01:43 +08:00
KarrixLee	d6fb2daeff	Add workflow list management and search functionality - Introduced a new workflow-list.js file to manage workflows, including fetching, displaying, and searching workflows. - Enhanced the custom_routes.py file with a new endpoint for retrieving workflows, ensuring proper authorization and query parameter handling. - Updated index.js to initialize the workflows list and integrate search functionality within the UI. These changes improve the user experience by allowing efficient management and retrieval of workflows in the application.	2025-06-16 18:47:18 +08:00
KarrixLee	a91effe3c8	Add workflow management endpoints and enhance deployment logic - Introduced new endpoints for creating workflows and versions in the custom_routes.py file. - Updated the deployWorkflow function in index.js to include apiUrl in the request body and handle workflow versioning. - Improved error handling for API requests and ensured required fields are validated before processing. - Enhanced user feedback during deployment with updated success messages. These changes streamline workflow management and improve the overall deployment process within the application.	2025-06-16 16:32:23 +08:00
KarrixLee	c015b710fe	Enhance authentication flow and improve API integration - Added a new endpoint for handling authentication responses in the UploadQueue class. - Updated the deployWorkflow function to include apiUrl in the configuration checks. - Refactored API calls to use the new auth-response endpoint, ensuring proper request handling. - Improved logging for better debugging during workflow deployment. These changes streamline the authentication process and enhance the overall API interaction within the application.	2025-06-15 13:55:59 +08:00
KarrixLee	2738d1913a	tweak	2025-06-14 22:04:53 +08:00
KarrixLee	3f4c11e3f1	Refactor event dispatching and improve code readability in index.js - Standardized formatting for CustomEvent dispatches to enhance consistency. - Simplified async function prompts and improved filtering logic for existing input IDs. - Enhanced readability by restructuring multiline statements and ensuring consistent indentation. - Added error handling for deployment processes and improved dialog display methods. These changes aim to improve maintainability and clarity of the codebase.	2025-06-14 21:49:53 +08:00
KarrixLee	089bad5560	Revert "Implement enhanced media preview functionality in ComfyUI" This reverts commit `46010e1dd5`.	2025-06-09 16:09:38 +08:00
KarrixLee	46010e1dd5	Implement enhanced media preview functionality in ComfyUI - Added support for video previews alongside existing image previews. - Introduced helper functions to detect video URLs and display media accordingly. - Updated URL widget handling to show the appropriate media type based on the input URL. - Improved error handling for media loading failures. This change enhances the user experience by providing a seamless way to preview both images and videos.	2025-06-08 19:31:47 +08:00
KarrixLee	52d876fa67	Enhance ComfyUIDeployExternalVideo to support default video URL input - Added 'default_value_url' parameter to allow fetching videos from a specified URL if the input_id is not a URL. - Updated the logic to handle video fetching, ensuring it uses the correct URL based on the input. - Improved the return structure for optional parameters, including the new 'default_value_url' with image preview support. This change enhances flexibility in video input handling for the ComfyUI Deploy.	2025-06-08 19:24:13 +08:00
BennyKokandDevin AI	f7e7eb19d0	Add ComfyUIDeployExternalNumberSliderInt node (#95 ) - Implements integer slider node for ComfyUI Deploy - Returns INT type instead of FLOAT for proper integer input compatibility - Uses int(round(float(input_id))) for robust conversion - Default range 0-10 with step=1 for integer appropriateness - Includes proper range validation and error handling - Frontend and API support already exists Fixes COM-1041 Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>	2025-06-06 12:38:18 +08:00
ImpactFrames	cb03b6718e	racing condition delete check if [prompt_id] exist (#94 )	2025-06-05 16:42:37 +08:00
BennyKok	7b734c415a	fix: import	2025-05-27 15:14:29 +08:00
BennyKok	64d3ec6b45	Revert "fix: import issues" This reverts commit `c47865ec26`.	2025-05-27 15:12:33 +08:00
bennykok	c47865ec26	fix: import issues	2025-05-21 19:10:20 +08:00
BennyKok	b889f79baf	Merge branch 'benny/support-comfy-api-key'	2025-05-12 17:06:08 +08:00
KarrixLee	1d8fed3534	feat: only register sidebar tab for Comfy Deploy on localhost	2025-05-12 12:38:23 +08:00