Files
Comfyui-JSON-Manager/json_loader.py
Ethanfel a747f86daa Persist output types across save/load via hidden output_types widget
Types were lost on workflow reload because only key names were stored.
Now both keys and types are saved in hidden widgets and restored by
onConfigure, so colored connector dots persist without needing Refresh.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 16:16:50 +01:00

389 lines
16 KiB
Python

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)
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=""):
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", 0)),
to_int(data.get("input_b_frames", 0)), 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", 0)), to_int(target_data.get("input_b_frames", 0)),
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)"
}