Ethanfel/Comfyui-JSON-Manager
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6b7e9ea68234b2358ad3d3572f6653b077bd0a9a
Comfyui-JSON-Manager/json_loader.py
Ethanfel 6b7e9ea682 Port dynamic node improvements from ComfyUI-JSON-Dynamic 
- Deferred output cleanup (_configured flag + queueMicrotask) to prevent
  breaking links when other nodes (e.g. Kijai Set/Get) resolve outputs
  during graph loading
- file_not_found error handling in refresh to keep existing outputs intact
- Fallback widget sync in onConfigure when widget values are empty but
  serialized outputs exist

Applied to both json_dynamic.js and project_dynamic.js.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-28 21:15:56 +01:00

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import json
import os
import logging
from typing import Any
logger = logging.getLogger(__name__)
KEY_BATCH_DATA = "batch_data"
MAX_DYNAMIC_OUTPUTS = 32
class AnyType(str):
"""Universal connector type that matches any ComfyUI type."""
def __ne__(self, __value: object) -> bool:
return False
any_type = AnyType("*")
try:
from server import PromptServer
from aiohttp import web
except ImportError:
PromptServer = None
def to_float(val: Any) -> float:
try:
return float(val)
except (ValueError, TypeError):
return 0.0
def to_int(val: Any) -> int:
try:
return int(float(val))
except (ValueError, TypeError):
return 0
def get_batch_item(data: dict[str, Any], sequence_number: int) -> dict[str, Any]:
"""Resolve batch item by sequence_number field, falling back to array index."""
if KEY_BATCH_DATA in data and isinstance(data[KEY_BATCH_DATA], list) and len(data[KEY_BATCH_DATA]) > 0:
# Search by sequence_number field first
for item in data[KEY_BATCH_DATA]:
if int(item.get("sequence_number", 0)) == sequence_number:
return item
# Fallback to array index
idx = max(0, min(sequence_number - 1, len(data[KEY_BATCH_DATA]) - 1))
logger.warning(f"No item with sequence_number={sequence_number}, falling back to index {idx}")
return data[KEY_BATCH_DATA][idx]
return data
# --- Shared Helper ---
def read_json_data(json_path: str) -> dict[str, Any]:
if not os.path.exists(json_path):
logger.warning(f"File not found at {json_path}")
return {}
try:
with open(json_path, 'r') as f:
data = json.load(f)
except (json.JSONDecodeError, IOError) as e:
logger.warning(f"Error reading {json_path}: {e}")
return {}
if not isinstance(data, dict):
logger.warning(f"Expected dict from {json_path}, got {type(data).__name__}")
return {}
return data
# --- API Route ---
if PromptServer is not None:
@PromptServer.instance.routes.get("/json_manager/get_keys")
async def get_keys_route(request):
json_path = request.query.get("path", "")
try:
seq = int(request.query.get("sequence_number", "1"))
except (ValueError, TypeError):
seq = 1
data = read_json_data(json_path)
if not data:
return web.json_response({"keys": [], "types": [], "error": "file_not_found"})
target = get_batch_item(data, seq)
keys = []
types = []
if isinstance(target, dict):
for k, v in target.items():
keys.append(k)
if isinstance(v, bool):
types.append("STRING")
elif isinstance(v, int):
types.append("INT")
elif isinstance(v, float):
types.append("FLOAT")
else:
types.append("STRING")
return web.json_response({"keys": keys, "types": types})
# ==========================================
# 0. DYNAMIC NODE
# ==========================================
class JSONLoaderDynamic:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"json_path": ("STRING", {"default": "", "multiline": False}),
"sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}),
},
"optional": {
"output_keys": ("STRING", {"default": ""}),
"output_types": ("STRING", {"default": ""}),
},
}
RETURN_TYPES = tuple(any_type for _ in range(MAX_DYNAMIC_OUTPUTS))
RETURN_NAMES = tuple(f"output_{i}" for i in range(MAX_DYNAMIC_OUTPUTS))
FUNCTION = "load_dynamic"
CATEGORY = "utils/json"
OUTPUT_NODE = False
def load_dynamic(self, json_path, sequence_number, output_keys="", output_types=""):
data = read_json_data(json_path)
target = get_batch_item(data, sequence_number)
keys = [k.strip() for k in output_keys.split(",") if k.strip()] if output_keys else []
results = []
for key in keys:
val = target.get(key, "")
if isinstance(val, bool):
results.append(str(val).lower())
elif isinstance(val, int):
results.append(val)
elif isinstance(val, float):
results.append(val)
else:
results.append(str(val))
# Pad to MAX_DYNAMIC_OUTPUTS
while len(results) < MAX_DYNAMIC_OUTPUTS:
results.append("")
return tuple(results)
# ==========================================
# 1. STANDARD NODES (Single File)
# ==========================================
class JSONLoaderLoRA:
@classmethod
def INPUT_TYPES(s):
return {"required": {"json_path": ("STRING", {"default": "", "multiline": False})}}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING")
RETURN_NAMES = ("lora_1_high", "lora_1_low", "lora_2_high", "lora_2_low", "lora_3_high", "lora_3_low")
FUNCTION = "load_loras"
CATEGORY = "utils/json"
def load_loras(self, json_path):
data = read_json_data(json_path)
return (
str(data.get("lora 1 high", "")), str(data.get("lora 1 low", "")),
str(data.get("lora 2 high", "")), str(data.get("lora 2 low", "")),
str(data.get("lora 3 high", "")), str(data.get("lora 3 low", ""))
)
class JSONLoaderStandard:
@classmethod
def INPUT_TYPES(s):
return {"required": {"json_path": ("STRING", {"default": "", "multiline": False})}}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "STRING", "STRING", "STRING")
RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "video_file_path", "reference_image_path", "flf_image_path")
FUNCTION = "load_standard"
CATEGORY = "utils/json"
def load_standard(self, json_path):
data = read_json_data(json_path)
return (
str(data.get("general_prompt", "")), str(data.get("general_negative", "")),
str(data.get("current_prompt", "")), str(data.get("negative", "")),
str(data.get("camera", "")), to_float(data.get("flf", 0.0)),
to_int(data.get("seed", 0)), str(data.get("video file path", "")),
str(data.get("reference image path", "")), str(data.get("flf image path", ""))
)
class JSONLoaderVACE:
@classmethod
def INPUT_TYPES(s):
return {"required": {"json_path": ("STRING", {"default": "", "multiline": False})}}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "INT", "INT", "INT", "STRING", "INT", "INT", "STRING", "STRING")
RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "frame_to_skip", "input_a_frames", "input_b_frames", "reference_path", "reference_switch", "vace_schedule", "video_file_path", "reference_image_path")
FUNCTION = "load_vace"
CATEGORY = "utils/json"
def load_vace(self, json_path):
data = read_json_data(json_path)
return (
str(data.get("general_prompt", "")), str(data.get("general_negative", "")),
str(data.get("current_prompt", "")), str(data.get("negative", "")),
str(data.get("camera", "")), to_float(data.get("flf", 0.0)),
to_int(data.get("seed", 0)),
to_int(data.get("frame_to_skip", 81)), to_int(data.get("input_a_frames", 16)),
to_int(data.get("input_b_frames", 16)), str(data.get("reference path", "")),
to_int(data.get("reference switch", 1)), to_int(data.get("vace schedule", 1)),
str(data.get("video file path", "")), str(data.get("reference image path", ""))
)
# ==========================================
# 2. BATCH NODES
# ==========================================
class JSONLoaderBatchLoRA:
@classmethod
def INPUT_TYPES(s):
return {"required": {"json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999})}}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING")
RETURN_NAMES = ("lora_1_high", "lora_1_low", "lora_2_high", "lora_2_low", "lora_3_high", "lora_3_low")
FUNCTION = "load_batch_loras"
CATEGORY = "utils/json"
def load_batch_loras(self, json_path, sequence_number):
data = read_json_data(json_path)
target_data = get_batch_item(data, sequence_number)
return (
str(target_data.get("lora 1 high", "")), str(target_data.get("lora 1 low", "")),
str(target_data.get("lora 2 high", "")), str(target_data.get("lora 2 low", "")),
str(target_data.get("lora 3 high", "")), str(target_data.get("lora 3 low", ""))
)
class JSONLoaderBatchI2V:
@classmethod
def INPUT_TYPES(s):
return {"required": {"json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999})}}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "STRING", "STRING", "STRING")
RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "video_file_path", "reference_image_path", "flf_image_path")
FUNCTION = "load_batch_i2v"
CATEGORY = "utils/json"
def load_batch_i2v(self, json_path, sequence_number):
data = read_json_data(json_path)
target_data = get_batch_item(data, sequence_number)
return (
str(target_data.get("general_prompt", "")), str(target_data.get("general_negative", "")),
str(target_data.get("current_prompt", "")), str(target_data.get("negative", "")),
str(target_data.get("camera", "")), to_float(target_data.get("flf", 0.0)),
to_int(target_data.get("seed", 0)), str(target_data.get("video file path", "")),
str(target_data.get("reference image path", "")), str(target_data.get("flf image path", ""))
)
class JSONLoaderBatchVACE:
@classmethod
def INPUT_TYPES(s):
return {"required": {"json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999})}}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "INT", "INT", "INT", "STRING", "INT", "INT", "STRING", "STRING")
RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "frame_to_skip", "input_a_frames", "input_b_frames", "reference_path", "reference_switch", "vace_schedule", "video_file_path", "reference_image_path")
FUNCTION = "load_batch_vace"
CATEGORY = "utils/json"
def load_batch_vace(self, json_path, sequence_number):
data = read_json_data(json_path)
target_data = get_batch_item(data, sequence_number)
return (
str(target_data.get("general_prompt", "")), str(target_data.get("general_negative", "")),
str(target_data.get("current_prompt", "")), str(target_data.get("negative", "")),
str(target_data.get("camera", "")), to_float(target_data.get("flf", 0.0)),
to_int(target_data.get("seed", 0)), to_int(target_data.get("frame_to_skip", 81)),
to_int(target_data.get("input_a_frames", 16)), to_int(target_data.get("input_b_frames", 16)),
str(target_data.get("reference path", "")), to_int(target_data.get("reference switch", 1)),
to_int(target_data.get("vace schedule", 1)), str(target_data.get("video file path", "")),
str(target_data.get("reference image path", ""))
)
# ==========================================
# 3. UNIVERSAL CUSTOM NODES (1, 3, 6 Slots)
# ==========================================
class JSONLoaderCustom1:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"json_path": ("STRING", {"default": "", "multiline": False}),
"sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}),
},
"optional": { "key_1": ("STRING", {"default": "", "multiline": False}) }
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("val_1",)
FUNCTION = "load_custom"
CATEGORY = "utils/json"
def load_custom(self, json_path, sequence_number, key_1=""):
data = read_json_data(json_path)
target_data = get_batch_item(data, sequence_number)
return (str(target_data.get(key_1, "")),)
class JSONLoaderCustom3:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"json_path": ("STRING", {"default": "", "multiline": False}),
"sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}),
},
"optional": {
"key_1": ("STRING", {"default": "", "multiline": False}),
"key_2": ("STRING", {"default": "", "multiline": False}),
"key_3": ("STRING", {"default": "", "multiline": False})
}
}
RETURN_TYPES = ("STRING", "STRING", "STRING")
RETURN_NAMES = ("val_1", "val_2", "val_3")
FUNCTION = "load_custom"
CATEGORY = "utils/json"
def load_custom(self, json_path, sequence_number, key_1="", key_2="", key_3=""):
data = read_json_data(json_path)
target_data = get_batch_item(data, sequence_number)
return (
str(target_data.get(key_1, "")),
str(target_data.get(key_2, "")),
str(target_data.get(key_3, ""))
)
class JSONLoaderCustom6:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"json_path": ("STRING", {"default": "", "multiline": False}),
"sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}),
},
"optional": {
"key_1": ("STRING", {"default": "", "multiline": False}),
"key_2": ("STRING", {"default": "", "multiline": False}),
"key_3": ("STRING", {"default": "", "multiline": False}),
"key_4": ("STRING", {"default": "", "multiline": False}),
"key_5": ("STRING", {"default": "", "multiline": False}),
"key_6": ("STRING", {"default": "", "multiline": False})
}
}
RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING")
RETURN_NAMES = ("val_1", "val_2", "val_3", "val_4", "val_5", "val_6")
FUNCTION = "load_custom"
CATEGORY = "utils/json"
def load_custom(self, json_path, sequence_number, key_1="", key_2="", key_3="", key_4="", key_5="", key_6=""):
data = read_json_data(json_path)
target_data = get_batch_item(data, sequence_number)
return (
str(target_data.get(key_1, "")), str(target_data.get(key_2, "")),
str(target_data.get(key_3, "")), str(target_data.get(key_4, "")),
str(target_data.get(key_5, "")), str(target_data.get(key_6, ""))
)
# --- Mappings ---
NODE_CLASS_MAPPINGS = {
"JSONLoaderDynamic": JSONLoaderDynamic,
"JSONLoaderLoRA": JSONLoaderLoRA,
"JSONLoaderStandard": JSONLoaderStandard,
"JSONLoaderVACE": JSONLoaderVACE,
"JSONLoaderBatchLoRA": JSONLoaderBatchLoRA,
"JSONLoaderBatchI2V": JSONLoaderBatchI2V,
"JSONLoaderBatchVACE": JSONLoaderBatchVACE,
"JSONLoaderCustom1": JSONLoaderCustom1,
"JSONLoaderCustom3": JSONLoaderCustom3,
"JSONLoaderCustom6": JSONLoaderCustom6
}
NODE_DISPLAY_NAME_MAPPINGS = {
"JSONLoaderDynamic": "JSON Loader (Dynamic)",
"JSONLoaderLoRA": "JSON Loader (LoRAs Only)",
"JSONLoaderStandard": "JSON Loader (Standard/I2V)",
"JSONLoaderVACE": "JSON Loader (VACE Full)",
"JSONLoaderBatchLoRA": "JSON Batch Loader (LoRAs)",
"JSONLoaderBatchI2V": "JSON Batch Loader (I2V)",
"JSONLoaderBatchVACE": "JSON Batch Loader (VACE)",
"JSONLoaderCustom1": "JSON Loader (Custom 1)",
"JSONLoaderCustom3": "JSON Loader (Custom 3)",
"JSONLoaderCustom6": "JSON Loader (Custom 6)"
}
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