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NVIDIAGameWorks-ComfyUI-RTX…/api/workflows.py
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"""
* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
"""
__all__ = ["list_workflow_types", "list_workflows", "get_workflow", "save_workflow"]
import json
import re
from pathlib import Path
from typing import Any
from aiohttp import web
import folder_paths
from server import PromptServer
from .constants import (
get_base_url,
API_WORKFLOWS_DIR,
DESCRIPTION_KEY,
DISPLAY_NAME_KEY,
REMIX_EXTRA_KEY,
REMIX_USER_ID,
WORKFLOWS_DIR,
WORKFLOWS_PREFIX,
WORKFLOW_TYPE_KEY,
WORKFLOW_TYPES_BY_CATEGORY,
)
from .enums import PathType, SourceType, WorkflowType
prompt_server = PromptServer.instance
routes = prompt_server.routes
def _get_comfyui_directory() -> Path:
"""Get the ComfyUI directory."""
return Path(folder_paths.base_path)
def _get_node_pack_directory() -> Path:
"""Get the RTX Remix node pack directory."""
return Path(__file__).parent.parent
def _get_user_directory() -> Path:
"""Get the RTX Remix user directory."""
user_dir = Path(folder_paths.get_user_directory())
return user_dir / REMIX_USER_ID
def _get_workflow_directories() -> dict[PathType, dict[SourceType, Path]]:
"""
Initialize and return workflow directories for all sources.
Creates the directories if they don't exist (for user directories only).
Returns:
A nested dictionary: path_type -> source -> directory path
"""
# User directories
user_dir = _get_user_directory()
user_api_workflows_dir = user_dir / API_WORKFLOWS_DIR
user_full_workflows_dir = user_dir / WORKFLOWS_DIR
# Create user directories if they don't exist
user_api_workflows_dir.mkdir(parents=True, exist_ok=True)
user_full_workflows_dir.mkdir(parents=True, exist_ok=True)
# RTX Remix node pack directories
node_pack_dir = _get_node_pack_directory()
remix_api_workflows_dir = node_pack_dir / API_WORKFLOWS_DIR
remix_full_workflows_dir = node_pack_dir / WORKFLOWS_DIR
# Node pack directories should already exist, but we can check
remix_api_workflows_dir.mkdir(parents=True, exist_ok=True)
remix_full_workflows_dir.mkdir(parents=True, exist_ok=True)
# Structure: path_type -> source -> directory
return {
PathType.API: {
SourceType.USER: user_api_workflows_dir,
SourceType.RTX_REMIX: remix_api_workflows_dir,
},
PathType.FULL: {
SourceType.USER: user_full_workflows_dir,
SourceType.RTX_REMIX: remix_full_workflows_dir,
},
}
def _success_response(data: dict[str, Any], status: int = 200) -> web.Response:
"""
Create a standardized success JSON response.
Args:
data: Data dictionary to include in the response
status: HTTP status code, defaults to 200
Returns:
JSON success response with success=True and the provided data
"""
return web.json_response({"success": True, **data}, status=status)
def _error_response(message: str, status: int = 400) -> web.Response:
"""
Create a standardized error JSON response.
Args:
message: Error message to include in the response
status: HTTP status code, defaults to 400
Returns:
JSON error response with success=False and the error message
"""
return web.json_response({"success": False, "message": message}, status=status)
def _load_workflow_file(file_path: Path) -> dict[str, Any]:
"""
Load workflow data from a JSON file.
Args:
file_path: Path to the workflow JSON file
Returns:
Dictionary containing the workflow data
Raises:
IOError: If the file cannot be read
json.JSONDecodeError: If the file contains invalid JSON
"""
with open(file_path, "r", encoding="utf-8") as f:
return json.load(f)
def _save_workflow_file(file_path: Path, workflow_data: dict[str, Any]):
"""
Save workflow data to a JSON file.
Args:
file_path: Path where the workflow file should be saved
workflow_data: Dictionary containing the workflow data to save
Raises:
IOError: If the file cannot be written
"""
with open(file_path, "w", encoding="utf-8") as f:
json.dump(workflow_data, f, indent=2)
def _safe_stem(workflow_name: str) -> str | None:
"""Return a filename stem safe to join with a workflow directory, or None if it escapes it."""
stem = workflow_name.strip()
if stem.lower().endswith(".json"):
stem = stem[:-5]
if not stem or "/" in stem or "\\" in stem or stem.strip(".") == "":
return None
return stem
def _query_values(request: web.Request, key: str) -> list[str]:
"""Collect repeated and comma-separated query values for a single key."""
return [part.strip() for raw in request.query.getall(key, []) for part in raw.split(",") if part.strip()]
def _derive_filename(display_name: str) -> str:
"""
Derive the on-disk workflow stem from a display name.
"PBR Fusion 4 v1.0.2" -> "pbr_fusion_4_v1_0_2". Names with no ASCII alphanumerics
(for example non-Latin scripts) collapse to "workflow".
"""
return re.sub(r"[^a-z0-9]+", "_", display_name.strip().lower()).strip("_") or "workflow"
def _read_metadata(workflow_data: Any, fallback_display_name: str) -> dict[str, Any]:
"""
Read export metadata from a full workflow, tolerating legacy and malformed data.
Legacy and malformed fallbacks: displayName -> fallback_display_name (the filename stem),
description -> "", workflowType -> None so consumers fall back to their own grouping instead
of guessing a type.
"""
extra = workflow_data.get("extra") if isinstance(workflow_data, dict) else None
remix = extra.get(REMIX_EXTRA_KEY) if isinstance(extra, dict) else None
remix = remix if isinstance(remix, dict) else {}
display_name = remix.get(DISPLAY_NAME_KEY)
description = remix.get(DESCRIPTION_KEY)
try:
workflow_type = WorkflowType(remix.get(WORKFLOW_TYPE_KEY))
except (ValueError, TypeError): # unknown value, missing key, or unhashable garbage
workflow_type = None
return {
DISPLAY_NAME_KEY: (
display_name.strip() if isinstance(display_name, str) and display_name.strip() else fallback_display_name
),
DESCRIPTION_KEY: description if isinstance(description, str) else "",
WORKFLOW_TYPE_KEY: workflow_type.value if workflow_type else None,
}
@routes.get(f"{get_base_url()}/{WORKFLOWS_PREFIX}/types")
async def list_workflow_types(_request: web.Request) -> web.Response:
"""
List the valid workflow types, grouped by category and in display order.
Returns:
JSON response containing a "categories" list of {"name": ..., "types": [...]} entries, where
each type is {"value": ..., "description": ...}. A type value is its own label, so clients
display it as it comes, and the description is its tooltip.
"""
categories = [
{
"name": category,
"types": [{"value": item.value, DESCRIPTION_KEY: description} for item, description in types.items()],
}
for category, types in WORKFLOW_TYPES_BY_CATEGORY.items()
]
return _success_response({"categories": categories})
@routes.get(f"{get_base_url()}/{WORKFLOWS_PREFIX}")
async def list_workflows(request: web.Request) -> web.Response:
"""
List all workflows from both user and rtx-remix node pack directories.
Query Parameters (all optional, repeatable and comma-separated):
pathType: Keep only these path types ("api", "full").
sourceType: Keep only these sources ("user", "rtx-remix").
workflowType: Keep only workflows with these types, matched exactly as the "types" endpoint
spells them, for example "Material Generation". Workflows without a type never match.
search: Case-insensitive substring matched against the filename, display name and
description.
Returns:
JSON response containing workflows organized by path type first,
then by source (user vs rtx-remix). Filtered out buckets are present but empty.
"""
try:
path_filter = {PathType(value.lower()) for value in _query_values(request, "pathType")}
source_filter = {SourceType(value.lower()) for value in _query_values(request, "sourceType")}
type_filter = {WorkflowType(value).value for value in _query_values(request, WORKFLOW_TYPE_KEY)}
except ValueError as e:
return _error_response(f"Invalid filter value: {str(e)}", status=400)
search = request.query.get("search", "").strip().lower()
# Initialize structure: path_type -> source -> list of workflows
workflows = {
PathType.API.value: {
SourceType.USER.value: [],
SourceType.RTX_REMIX.value: [],
},
PathType.FULL.value: {
SourceType.USER.value: [],
SourceType.RTX_REMIX.value: [],
},
}
# Get all workflow directories (path_type -> source -> directory)
all_directories = _get_workflow_directories()
# Metadata only exists in the full workflows (API workflow files are flat prompt dicts with no
# "extra"), so index it by filename stem and reuse it for the matching API entries, which the
# save endpoint always writes under the same stem.
# ponytail: parses every full workflow per call, add an mtime keyed cache if profiling shows it
metadata_by_source: dict[SourceType, dict[str, dict[str, Any]]] = {}
for source, directory in all_directories[PathType.FULL].items():
entries: dict[str, dict[str, Any]] = {}
if (not source_filter or source in source_filter) and directory.exists():
for file_path in sorted(directory.glob("*.json")):
try:
workflow_data = _load_workflow_file(file_path)
except (OSError, IOError, json.JSONDecodeError):
workflow_data = {}
entries[file_path.stem] = _read_metadata(workflow_data, file_path.stem)
metadata_by_source[source] = entries
# Iterate through path types and sources
for path_type, source_dirs in all_directories.items():
if path_filter and path_type not in path_filter:
continue
for source, directory in source_dirs.items():
if source_filter and source not in source_filter:
continue
if not directory.exists():
continue
for file_path in sorted(directory.glob("*.json")):
try:
stat = file_path.stat()
relative_path = file_path.relative_to(_get_comfyui_directory())
except (OSError, IOError):
# Skip files that can't be accessed
continue
metadata = metadata_by_source[source].get(file_path.stem) or _read_metadata({}, file_path.stem)
if type_filter and metadata[WORKFLOW_TYPE_KEY] not in type_filter:
continue
if search:
haystack = f"{file_path.stem} {metadata[DISPLAY_NAME_KEY]} {metadata[DESCRIPTION_KEY]}".lower()
if search not in haystack:
continue
workflows[path_type.value][source.value].append(
{
"name": file_path.stem,
"path": relative_path.as_posix(),
"size": stat.st_size,
"modified": stat.st_mtime,
**metadata,
}
)
return _success_response({"workflows": workflows})
@routes.get(f"{get_base_url()}/{WORKFLOWS_PREFIX}/{{path_type}}/{{source_type}}/{{workflow_name}}")
async def get_workflow(request: web.Request) -> web.Response:
"""
Get specific workflow contents from either user or rtx-remix source.
Also handles HEAD requests to check if a workflow exists (for overwrite confirmation).
Args:
request: The HTTP request object
Path Parameters:
source_type: The type of source ("user" or "rtx-remix").
workflow_name: The name of the workflow to get
path_type: Type of workflow path ("api" or "full").
Returns:
JSON response containing workflow data organized by path type
first, then by source (or just status code for HEAD requests)
"""
source_type = request.match_info.get("source_type")
workflow_name = request.match_info.get("workflow_name")
path_type = request.match_info.get("path_type")
if not source_type or not source_type.strip():
return _error_response("Source type is required", status=400)
try:
source_type = SourceType(source_type.strip().lower())
except ValueError:
return _error_response(
f"Invalid source type: {source_type}. "
f"Valid source types are: {', '.join([source.value for source in SourceType])}",
status=400,
)
if not workflow_name or not workflow_name.strip():
return _error_response("Workflow name is required", status=400)
if path_type and path_type.strip():
try:
path_type = PathType(path_type.strip())
except ValueError:
return _error_response(
f"Invalid path type: {path_type}. "
f"Valid path types are: {', '.join([path_type.value for path_type in PathType])}",
status=400,
)
stem = _safe_stem(workflow_name)
if stem is None:
return _error_response(f"Invalid workflow name: {workflow_name}", status=400)
workflow_name = stem
all_directories = _get_workflow_directories()
workflow_directory = all_directories[path_type][source_type]
file_path = Path((workflow_directory / workflow_name).as_posix() + ".json")
# Handle HEAD requests efficiently - just check existence without reading file
if request.method == "HEAD":
if file_path.exists():
return web.Response(status=200)
return web.Response(status=404)
response_data = None
if file_path.exists():
try:
workflow_data = _load_workflow_file(file_path)
relative_path = file_path.relative_to(_get_comfyui_directory())
response_data = {
"name": workflow_name,
"path": relative_path.as_posix(),
"data": workflow_data,
}
except (IOError, json.JSONDecodeError) as e:
return _error_response(f"Error reading workflow: {str(e)}", status=500)
if not response_data:
return _error_response(f"Workflow not found: {workflow_name} in {workflow_directory}", status=404)
return _success_response(response_data)
@routes.post(f"{get_base_url()}/{WORKFLOWS_PREFIX}/save")
async def save_workflow(request: web.Request) -> web.Response:
"""
Save both API workflow and full workflow to the user directory.
Note: Workflows can only be saved to the user directory, not to the
rtx-remix node pack.
Request body:
displayName: User facing workflow name, the filename is derived from it
description: Workflow description, shown as the workflow tooltip in the RTX Remix Toolkit
workflowType: One of the type values returned by the workflow "types" endpoint
workflows: Dictionary containing the workflow data for each path type
Returns:
JSON response containing the saved workflow name and filepaths
"""
try:
data = await request.json()
except json.JSONDecodeError:
return _error_response("Invalid JSON in request body", status=400)
display_name = data.get(DISPLAY_NAME_KEY)
display_name = display_name.strip() if isinstance(display_name, str) else ""
description = data.get(DESCRIPTION_KEY)
description = description.strip() if isinstance(description, str) else ""
type_value = data.get(WORKFLOW_TYPE_KEY)
workflows = data.get("workflows", {})
if not display_name:
return _error_response("Workflow display name is required", status=400)
try:
workflow_type = WorkflowType(type_value)
except (ValueError, TypeError):
return _error_response(
f"Invalid workflow type: {type_value}. "
f"Valid workflow types are: {', '.join([item.value for item in WorkflowType])}",
status=400,
)
workflow_name = _derive_filename(display_name)
# Get all workflow directories (path_type -> source -> directory)
all_directories = _get_workflow_directories()
try:
response_data = {}
for path_type, workflow_data in workflows.items():
try:
path_type = PathType(path_type)
except ValueError:
return _error_response(f"Invalid path type: {path_type}", status=400)
# Always save to user directory
if path_type not in all_directories:
return _error_response(
f"Invalid path type: {path_type}. "
f"Valid path types are: {', '.join([path_type.value for path_type in all_directories.keys()])}",
status=400,
)
user_workflow_dir = all_directories[path_type][SourceType.USER]
file_path = Path((user_workflow_dir / workflow_name).as_posix() + ".json")
# Stamp the metadata into the full workflow so the workflow list is correct
# regardless of what the client serialized
if path_type is PathType.FULL and isinstance(workflow_data, dict):
extra = workflow_data.get("extra")
if not isinstance(extra, dict):
extra = {}
workflow_data["extra"] = extra
remix_extra = extra.get(REMIX_EXTRA_KEY)
if not isinstance(remix_extra, dict):
remix_extra = {}
extra[REMIX_EXTRA_KEY] = remix_extra
remix_extra[DISPLAY_NAME_KEY] = display_name
remix_extra[DESCRIPTION_KEY] = description
remix_extra[WORKFLOW_TYPE_KEY] = workflow_type.value
_save_workflow_file(file_path, workflow_data)
relative_path = file_path.relative_to(_get_comfyui_directory())
response_data.setdefault(path_type.value, {}).setdefault(SourceType.USER.value, {})["path"] = (
relative_path.as_posix()
)
return _success_response(
{
"message": "Workflow saved successfully",
"name": workflow_name,
DISPLAY_NAME_KEY: display_name,
DESCRIPTION_KEY: description,
WORKFLOW_TYPE_KEY: workflow_type.value,
"workflows": response_data,
}
)
except IOError as e:
return _error_response(f"Error saving workflow: {str(e)}", status=500)