import json
import os

# --- Shared Helper ---
def read_json_data(json_path):
    if not os.path.exists(json_path):
        print(f"[JSON Loader] Warning: File not found at {json_path}")
        return {}
    try:
        with open(json_path, 'r') as f:
            return json.load(f)
    except Exception as e:
        print(f"[JSON Loader] Error: {e}")
        return {}

# ==========================================
# 1. DEDICATED LORA NODE (Existing)
# ==========================================
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", ""))
        )

# ==========================================
# 2. MAIN NODES (Existing)
# ==========================================

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)
        def to_float(val):
            try: return float(val)
            except: return 0.0
        def to_int(val):
            try: return int(float(val))
            except: return 0

        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)
        def to_float(val):
            try: return float(val)
            except: return 0.0
        def to_int(val):
            try: return int(float(val))
            except: return 0

        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", ""))
        )

# ==========================================
# 3. NEW BATCH NODES
# ==========================================

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)
        
        # Batch Logic: Select specific sequence
        target_data = data
        if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0:
            # Adjust 1-based index to 0-based
            idx = sequence_number - 1
            # Modulo for looping (safely handles index > length)
            idx = idx % len(data["batch_data"])
            target_data = data["batch_data"][idx]
            
        def to_float(val):
            try: return float(val)
            except: return 0.0
        def to_int(val):
            try: return int(float(val))
            except: return 0

        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)
        
        # Batch Logic
        target_data = data
        if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0:
            idx = sequence_number - 1
            idx = idx % len(data["batch_data"])
            target_data = data["batch_data"][idx]

        def to_float(val):
            try: return float(val)
            except: return 0.0
        def to_int(val):
            try: return int(float(val))
            except: return 0

        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", ""))
        )

# --- Mappings ---
NODE_CLASS_MAPPINGS = {
    "JSONLoaderLoRA": JSONLoaderLoRA,
    "JSONLoaderStandard": JSONLoaderStandard,
    "JSONLoaderVACE": JSONLoaderVACE,
    "JSONLoaderBatchI2V": JSONLoaderBatchI2V,
    "JSONLoaderBatchVACE": JSONLoaderBatchVACE
}

NODE_DISPLAY_NAME_MAPPINGS = {
    "JSONLoaderLoRA": "JSON Loader (LoRAs Only)",
    "JSONLoaderStandard": "JSON Loader (Standard/I2V)",
    "JSONLoaderVACE": "JSON Loader (VACE Full)",
    "JSONLoaderBatchI2V": "JSON Batch Loader (I2V)",
    "JSONLoaderBatchVACE": "JSON Batch Loader (VACE)"
}