#---------------------------------------------------------------------------------------------------------------------#
# Comfyroll Custom Nodes by RockOfFire and Akatsuzi         https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes                             #
# for ComfyUI                                               https://github.com/comfyanonymous/ComfyUI                                               #
#---------------------------------------------------------------------------------------------------------------------#

import os
import sys
import comfy.sd
import comfy.utils
import folder_paths
from ..categories import icons

sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))

#---------------------------------------------------------------------------------------------------------------------#
# LoRA Nodes
#---------------------------------------------------------------------------------------------------------------------#
# This is a load lora node with an added switch to turn on or off.  On will add the lora and off will skip the node.
class CR_LoraLoader:
    def __init__(self):
        self.loaded_lora = None

    @classmethod
    def INPUT_TYPES(s):
        file_list = folder_paths.get_filename_list("loras")
        file_list.insert(0, "None")
        return {"required": { "model": ("MODEL",),
                              "clip": ("CLIP", ),
                              "switch": (["On","Off"],),
                              "lora_name": (file_list, ),
                              "strength_model": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                              "strength_clip": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                              }}
    RETURN_TYPES = ("MODEL", "CLIP", "STRING", )
    RETURN_NAMES = ("MODEL", "CLIP", "show_help", )
    FUNCTION = "load_lora"
    CATEGORY = icons.get("Comfyroll/LoRA")

    def load_lora(self, model, clip, switch, lora_name, strength_model, strength_clip):
        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/LoRA-Nodes#cr-load-lora"
        if strength_model == 0 and strength_clip == 0:
            return (model, clip, show_help, )

        if switch == "Off" or  lora_name == "None":
            return (model, clip, show_help, )

        lora_path = folder_paths.get_full_path("loras", lora_name)
        lora = None
        if self.loaded_lora is not None:
            if self.loaded_lora[0] == lora_path:
                lora = self.loaded_lora[1]
            else:
                del self.loaded_lora

        if lora is None:
            lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
            self.loaded_lora = (lora_path, lora)

        model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip)
        return (model_lora, clip_lora, show_help, )

#---------------------------------------------------------------------------------------------------------------------#
# Based on Efficiency Nodes
# This is a lora stack where a single node has 3 different loras each with their own switch
class CR_LoRAStack:

    @classmethod
    def INPUT_TYPES(cls):
    
        loras = ["None"] + folder_paths.get_filename_list("loras")
        
        return {"required": {
                    "switch_1": (["Off","On"],),
                    "lora_name_1": (loras,),
                    "model_weight_1": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                    "clip_weight_1": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                    "switch_2": (["Off","On"],),
                    "lora_name_2": (loras,),
                    "model_weight_2": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                    "clip_weight_2": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                    "switch_3": (["Off","On"],),
                    "lora_name_3": (loras,),
                    "model_weight_3": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                    "clip_weight_3": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                },
                "optional": {"lora_stack": ("LORA_STACK",)
                },
        }

    RETURN_TYPES = ("LORA_STACK", "STRING", )
    RETURN_NAMES = ("LORA_STACK", "show_help", )
    FUNCTION = "lora_stacker"
    CATEGORY = icons.get("Comfyroll/LoRA")

    def lora_stacker(self, lora_name_1, model_weight_1, clip_weight_1, switch_1, lora_name_2, model_weight_2, clip_weight_2, switch_2, lora_name_3, model_weight_3, clip_weight_3, switch_3, lora_stack=None):

        # Initialise the list
        lora_list=list()
        
        if lora_stack is not None:
            lora_list.extend([l for l in lora_stack if l[0] != "None"])
        
        if lora_name_1 != "None" and  switch_1 == "On":
            lora_list.extend([(lora_name_1, model_weight_1, clip_weight_1)]),

        if lora_name_2 != "None" and  switch_2 == "On":
            lora_list.extend([(lora_name_2, model_weight_2, clip_weight_2)]),

        if lora_name_3 != "None" and  switch_3 == "On":
            lora_list.extend([(lora_name_3, model_weight_3, clip_weight_3)]),
           
        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/LoRA-Nodes#cr-lora-stack"           

        return (lora_list, show_help, )

#---------------------------------------------------------------------------------------------------------------------#
# This applies the lora stack.
class CR_ApplyLoRAStack:

    @classmethod
    def INPUT_TYPES(cls):
        return {"required": {"model": ("MODEL",),
                            "clip": ("CLIP", ),
                            "lora_stack": ("LORA_STACK", ),
                            }
        }

    RETURN_TYPES = ("MODEL", "CLIP", "STRING", )
    RETURN_NAMES = ("MODEL", "CLIP", "show_help", )
    FUNCTION = "apply_lora_stack"
    CATEGORY = icons.get("Comfyroll/LoRA")

    def apply_lora_stack(self, model, clip, lora_stack=None,):
        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/LoRA-Nodes#cr-apply-lora-stack"

        # Initialise the list
        lora_params = list()
 
        # Extend lora_params with lora-stack items 
        if lora_stack:
            lora_params.extend(lora_stack)
        else:
            return (model, clip, show_help,)

        # Initialise the model and clip
        model_lora = model
        clip_lora = clip

        # Loop through the list
        for tup in lora_params:
            lora_name, strength_model, strength_clip = tup
            
            lora_path = folder_paths.get_full_path("loras", lora_name)
            lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
            
            model_lora, clip_lora = comfy.sd.load_lora_for_models(model_lora, clip_lora, lora, strength_model, strength_clip)  

        return (model_lora, clip_lora, show_help,)

#---------------------------------------------------------------------------------------------------------------------#
# MAPPINGS
#---------------------------------------------------------------------------------------------------------------------#
# For reference only, actual mappings are in __init__.py
'''
NODE_CLASS_MAPPINGS = {
    "CR Load LoRA": CR_LoraLoader,
    "CR LoRA Stack":CR_LoRAStack,
    "CR Apply LoRA Stack":CR_ApplyLoRAStack,
}
'''