import json
import os
import re
import threading
import time
import yaml
import requests

from PIL import Image
from PIL.PngImagePlugin import PngInfo
from watchdog import events, observers
try:
    from .utils import cuteprint
except ImportError:
    from utils import cuteprint

# PNG files are the only files that can carry metadata inside AND the only ones that we can parse/support (for now).
ALLOWED_EXTS = ['png']

# Per Comfy source, these are "active" or event-based (i.e. not bypassed/muted/disabled).
ENABLED_NODE_MODES = [0, 1, 3]

NODE_TYPES_CLIP_TEXT = ['CLIPTextEncode', 'PrimitiveNode']
NODE_TYPES_CIV_CKPT = ['CivitAI_Checkpoint_Loader']
NODE_TYPES_CIV_LORA = ['CivitAI_Lora_Loader']
NODE_TYPES_SAMPLER = ['KSampler', 'KSampler (Efficient)']

NODE_TITLE_PREFERRED_SAMPLER = 'Sampler'
NODE_TITLE_PREFERRED_POSITIVE = 'Positive'
NODE_TITLE_PREFERRED_NEGATIVE = 'Negative'

SAMPLER_NAME_MAP = {
    'euler': 'Euler',
    'euler_ancestral': 'Euler a',
    'heun': 'Heun',
    'dpm_2': 'DPM2',
    'dpm_2_ancestral': 'DPM2 a',
    'lms': 'LMS',
    'dpm_fast': 'DPM Fast',
    'dpm_adaptive': 'DPM Adaptive',
    'dpmpp_2s_ancestral': 'DPM++ 2S a',
    'dpmpp_sde': 'DPM++ SDE',
    'dpmpp_sde_gpu': 'DPM++ SDE',
    'dpmpp_2m': 'DPM++ 2M',
    'dpmpp_2m_sde': 'DPM++ 2M SDE',
    'dpmpp_2m_sde_gpu': 'DPM++ 2M SDE',
    'dpmpp_3m_sde': 'DPM++ 3M SDE',
    'dpmpp_3m_sde_gpu': 'DPM++ 3M SDE',
    'ddpm': 'DDPM',
    'ddim': 'DDIM',
    'uni_pc': 'UniPC',
    'uni_pc_bh2': 'UniPC BH2'
}

SCHEDULER_NAME_MAP = {
    'normal': '',
    'karras': 'Karras',
    'exponential': 'Exponential',
    'sgm_uniform': 'SGM Uniform',
    'simple': 'Simple',
    'ddim_uniform': 'Uniform'
}

Verbose = False

def init_watcher(cfg_path_override = None):
    global Verbose

    cur_dir = os.path.dirname(os.path.realpath(__file__))
    config_path = os.path.join(cfg_path_override, 'config.yaml') if cfg_path_override is not None else os.path.join(cur_dir, 'config.yaml')

    # If the file does not exist, this is a first-time run and we need to write the default one.
    if not os.path.exists(config_path):
        write_default_config(config_path)
        cuteprint('❣️➡️ First-time file watcher setup - please edit the config.yaml file located in the folder: "ComfyUI/custom_nodes/cute-comfy"')
        cuteprint('Disabling the file watcher just this one time, please restart ComfyUI after you\'ve modified the config file!')
        return

    try:
        with open(config_path, 'r') as f:
            config_dict = yaml.load(f, Loader=yaml.FullLoader)
    except Exception as e:
        cuteprint('❌ Failed to load config.yaml. Please check the file for syntax errors.')
        cuteprint('❌ Error: ' + str(e))
        return
    
    if not validate_config(config_dict):
        return
    
    Verbose = config_dict['watcher']['verbose']

    for folder in config_dict['watcher']['folders']:
        folder = folder.rstrip('\\').rstrip('/')
        watch_directory(folder, config_dict)

def watch_directory(dir, config_dict):
    global Verbose
    cuteprint(f'👁️ I\'m keeping an eye on: {dir}')

    watcher = observers.Observer()
    handler = events.FileSystemEventHandler()

    def on_created(event):
        # Ignore this file if the file name ends with our own write suffix, so that we don't get stuck in a loop.
        if event.src_path.endswith(config_dict['watcher']['write_suffix'] + '.' + event.src_path.split('.')[-1]):
            return

        cuteprint(f'👀 I see a new file, waiting for it to finish writing: {event.src_path}') if Verbose else None

        # Wait for the file to be fully written.
        # The watcher triggers on the file creation event, not when it's "done" writing.
        size = os.path.getsize(event.src_path)
        while True:
            time.sleep(1)
            if size == os.path.getsize(event.src_path):
                break
            else:
                size = os.path.getsize(event.src_path)

        update_metadata(event.src_path, config_dict)

    handler.on_created = on_created
    watcher.schedule(handler, dir, recursive=True)
    watcher.start()


def update_metadata(file, config_dict):
    global Verbose

    if not file.endswith(tuple(config_dict['watcher']['extensions'])):
        return

    cuteprint(f'👀 Attempting metadata update for: {file}') if Verbose else None

    with Image.open(file) as img:
        metadata = img.info

        if 'parameters' in metadata:
            if 'Seed' in metadata['parameters'] or 'Steps' in metadata['parameters']:
                cuteprint(f'👀 This file already has Civitai-compatible metadata, skipping: {file}') if Verbose else None
                return

        if not metadata or 'workflow' not in metadata:
            cuteprint(f'👀 This file has no metadata, can\'t do anything: {file}') if Verbose else None
            return

        # Parse the metadata from a JSON string.
        workflow = json.loads(metadata['workflow'])

        # Get the node list
        nodelist = workflow['nodes']

        # Get all of the "common" metadata
        prompt_positive = get_metadata_clip_text(nodelist, NODE_TITLE_PREFERRED_POSITIVE)
        prompt_negative = get_metadata_clip_text(nodelist, NODE_TITLE_PREFERRED_NEGATIVE)
        ckpt_sha256 = get_metadata_ckpt_sha256(nodelist)
        lora_ckpt_sha256_list = get_lora_ckpt_sha256(nodelist)
        sampler_data = get_metadata_sampler(nodelist)
        if sampler_data is not None:
            sampler, seed, steps, cfg = sampler_data
        else:
            sampler, seed, steps, cfg = None, None, None, None
            cuteprint(f'👀 Warning: Failed to retrieve Sampler metadata.') if Verbose else None

        # Build the Hashes JSON object
        hashes = {}
        if ckpt_sha256:
            hashes['model'] = ckpt_sha256
        if lora_ckpt_sha256_list:
            for i, lora_ckpt_sha256 in enumerate(lora_ckpt_sha256_list):
                hashes[f'lora:comfy2auto_converted_{i}'] = lora_ckpt_sha256
        hashes_json = json.dumps(hashes)

        # Write the new metadata to the file.
        new_metadata = f'''{prompt_positive if prompt_positive else ''}
Negative prompt: {prompt_negative if prompt_negative else ''}
{f'Steps: {steps}, ' if steps else ''}{f'Sampler: {sampler}, ' if sampler else ''}{f'CFG scale: {cfg}, ' if cfg else ''}{f'Seed: {seed}, ' if seed else ''}{f'AutoConverter: Cute Comfy, '}{f'Hashes: {hashes_json}'}
'''
        prev_metadata = metadata
        metadata = PngInfo()
        metadata.add_text("parameters", new_metadata)

        if 'keep_workflow' in config_dict['watcher'] and config_dict['watcher']['keep_workflow']:
            metadata.add_text("propmt", prev_metadata['prompt'])
            metadata.add_text("workflow", prev_metadata['workflow'])

        if config_dict['watcher']['overwrite']:
            img.save(file, pnginfo=metadata)
            cuteprint(f'👀 💜 Updated Civitai-compatible metadata inside file: {file}')
        else:
            new_file = file.replace(f'.{file.split(".")[-1]}', f'{config_dict["watcher"]["write_suffix"]}.{file.split(".")[-1]}')
            img.save(new_file, pnginfo=metadata)
            cuteprint(f'👀 💜 Updated Civitai-compatible metadata inside new file: {new_file}')



def get_metadata_clip_text(nodelist, title, skip_reformat = False) -> str | None:
    global Verbose
    for node in nodelist:
        if ('type' in node and node['type'] in NODE_TYPES_CLIP_TEXT) and 'title' in node and title in node['title'] and 'mode' in node and node['mode'] in ENABLED_NODE_MODES:
            if skip_reformat:
                return node['widgets_values'][0]
            else:
                return node['widgets_values'][0].replace('\r', '').replace('\n', ' ').strip()

    cuteprint(f'👀 Warning: No "{title}" metadata found.') if Verbose else None
    return None

def get_metadata_sampler(nodelist):
    global Verbose
    sampler = get_best_fit_sampler_node(nodelist)
    if sampler is None:
        cuteprint(f'👀 Warning: No "Sampler" metadata found.') if Verbose else None
        return None
    
    # If widgets_values has 7 items, it's a KSampler node.
    if len(sampler['widgets_values']) == 7:
        name, scheduler = sampler['widgets_values'][4], sampler['widgets_values'][5]
        seed = sampler['widgets_values'][0]
        steps = int(sampler['widgets_values'][2])
        cfg = int(sampler['widgets_values'][3])
    
    # If widgets_values has 9 items, it's a KSampler (Efficient) node.
    elif len(sampler['widgets_values']) == 9:
        name, scheduler = sampler['widgets_values'][4], sampler['widgets_values'][5]
        seed = sampler['widgets_values'][0]
        steps = int(sampler['widgets_values'][2])
        cfg = int(sampler['widgets_values'][3])

    # If widgets_values has any other number of items, it's not a KSampler node.
    else:
        cuteprint(f'👀 Warning: No compatible KSampler node found.') if Verbose else None
        return None
    
    # If the name or scheduler is empty, exit.
    if not name or not scheduler:
        cuteprint(f'👀 Warning: Selected KSampler node is missing its name or scheduler parameter.') if Verbose else None
        return None
    
    # Map the name and scheduler to the correct values.
    return map_sampler_name(name, scheduler), seed, steps, cfg
    

def map_sampler_name(name, scheduler) -> str:
    a1name = SAMPLER_NAME_MAP[name] if name in SAMPLER_NAME_MAP else name.capitalize()    
    a1sampler = SCHEDULER_NAME_MAP[scheduler] if scheduler in SCHEDULER_NAME_MAP else scheduler.capitalize()
    return f'{a1name} {a1sampler}'.strip()


def get_best_fit_sampler_node(nodelist) -> dict | None:
    global Verbose

    for node in nodelist:
        if 'title' in node and node['title'] == NODE_TITLE_PREFERRED_SAMPLER and 'mode' in node and node['mode'] in ENABLED_NODE_MODES:
            return node
    
    for node in nodelist:
        if 'type' in node and node['type'] in NODE_TYPES_SAMPLER and 'mode' in node and node['mode'] in ENABLED_NODE_MODES:
            return node
    
    cuteprint(f'👀 Warning: No "Sampler" node found.') if Verbose else None
    return None


def get_metadata_ckpt_sha256(nodelist) -> str | None:
    """
    Retrieves the SHA256 hash of the primary file of the Civitai Checkpoint AIR found in the given node list.
    """
    global Verbose
    civitai_air = get_civitai_air_from_node(nodelist, "CivitAI_Checkpoint_Loader", warn = True)
    if civitai_air is None:
        return None
    
    model_version = civitai_air.split('@')[-1]

    # Or: https://civitai.com/models/aaaaaa/?modelVersionId=bbbbbb
    resp = requests.get(f'https://civitai.com/api/v1/model-versions/{model_version}')
    if resp.status_code != 200:
        cuteprint(f'👀 Warning: Failed to fetch model info from Civitai API. Status code: {resp.status_code}') if Verbose else None
        return None
    
    resp_json = resp.json()
    primary_file = next((file for file in resp_json['files'] if file['primary']), None)

    if primary_file is None:
        cuteprint(f'👀 Warning: No primary file found in the model info response. Check API: https://civitai.com/api/v1/model-versions/{model_version}') if Verbose else None
        return None
    
    cuteprint(f'👀 Fetched AutoV2 ID from Civitai.com: {primary_file["name"]} = {primary_file["hashes"]["AutoV2"].lower()}') if Verbose else None

    return primary_file['hashes']['AutoV2'].lower()


def get_lora_ckpt_sha256(nodelist):
    """
    Retrieves a list of SHA256 hashes of the primary files of all Civitai LoRA AIRs found in the given node list.
    """
    global Verbose
    civitai_air_list = get_civitai_air_from_node(nodelist, "CivitAI_Lora_Loader", multiple = True)
    if civitai_air_list is None or len(civitai_air_list) == 0:
        return None
    
    lora_hashes = []

    for civitai_air in civitai_air_list:

        model_version = civitai_air.split('@')[-1]

        resp = requests.get(f'https://civitai.com/api/v1/model-versions/{model_version}')
        if resp.status_code != 200:
            cuteprint(f'👀 Warning: Failed to fetch model info from Civitai API. Status code: {resp.status_code}') if Verbose else None
            return None
        
        resp_json = resp.json()
        primary_file = next((file for file in resp_json['files'] if file['primary']), None)

        if primary_file is None:
            cuteprint(f'👀 Warning: No primary file found in the model info response. Check API: https://civitai.com/api/v1/model-versions/{model_version}') if Verbose else None
            return None
                
        lora_hashes.append(primary_file['hashes']['AutoV2'].lower())
    
    return lora_hashes if len(lora_hashes) > 0 else None


def get_civitai_air_from_node(nodelist, node_type, multiple = False, warn = False):
    """
    Attempts to extract a Civitai AIR from the given node list. Optionally, if multiple is set to True, returns a list of all Civitai AIRs found.
    """
    global Verbose
    air_ids = []
    for node in nodelist:
        if 'widgets_values' in node and 'type' in node and node['type'] == node_type and 'mode' in node and node['mode'] in ENABLED_NODE_MODES:
            
            air_id = None
            if 'inputs' in node:
                link = next((input['link'] for input in node['inputs'] if input['name'] == 'ckpt_air' or input['name'] == 'lora_air'), None)
                if link is not None:
                    air_id = walk_nodes_recursive(nodelist, link)

            if air_id is None:
                air_id = node['widgets_values'][0]
                if not re.match(r'\d+@\d+', air_id):
                    cuteprint(f'👀 Warning: The "{node_type}" node has an invalid AIR: {air_id}') if Verbose else None
                    return None
            
            if not multiple:
                return air_id
            else:
                air_ids.append(air_id)
    
    if multiple and len(air_ids) > 0:
        return air_ids
    
    cuteprint(f'👀 Warning: No Civitai model metadata found (did you use the "{node_type}" node type somewhere?).') if Verbose and warn else None
    return None

def walk_nodes_recursive(nodes, node_id):
    """
    Walks the node tree backwards recursively, looking for the first non-reroute node.
    """
    
    # Get the target node by ID.
    # We do this by looking inside each node, looking inside the "outputs" array, and if any objects in the "outputs" array have a "link" array containing the node_id, then that is our new target.
    target_node = None
    for node in nodes:
        if 'outputs' in node and len(node['outputs']) > 0:
            for output in node['outputs']:
                if 'links' in output and output['links'] is not None and len(output['links']) > 0 and node_id in output['links']:
                    target_node = node
                    break
        
    # If the target node is None, exit.
    if target_node is None:
        cuteprint(f'👀 Warning: Reached dead-end while traversing reroute notes for node ID: {node_id}') if Verbose else None
        return None
    
    # If this node is a reroute, recursively walk back to the next node.
    if 'type' in target_node and target_node['type'] == 'Reroute':
        return walk_nodes_recursive(nodes, target_node['inputs'][0]['link'])
    else:
        return target_node['widgets_values'][0] if 'widgets_values' in target_node and len(target_node['widgets_values']) > 0 else None


def write_default_config(path):
    default_config_dict = {
        'watcher': {
            'enabled': True,
            'overwrite': False,
            'write_suffix': '__a1',
            'verbose': False,
            'folders': [
                'Z:\Path\To\Your\Comfy\Output\Folder'
            ],
            'extensions': [
                'png'
            ]
        }
    }

    with open(path, 'w') as f:
        yaml.dump(default_config_dict, f)

def validate_config(config_dict):
    # If the watcher is not enabled, exit.
    if not config_dict['watcher']['enabled']:
        cuteprint('⚠️ File watcher is not enabled in config.yaml. Output files will not be automatically updated with Automatic1111-compatible metadata.')
        return False

    # If the watcher is enabled, but no folders are being watched, exit.
    if not config_dict['watcher']['folders']:
        cuteprint('⚠️ No folders are being watched in config.yaml. Add a folder to the "folders" list to enable the file watcher.')
        return False
    
    # If the watcher is enabled and there are folders, check that the folders exist.
    for folder in config_dict['watcher']['folders']:
        if not os.path.exists(folder):
            cuteprint(f'⚠️ The folder "{folder}" does not exist. Please check config.yaml.')
            return False

    # If the watcher is enabled, but no extensions are being watched, exit.
    if not config_dict['watcher']['extensions']:
        cuteprint('⚠️ No extensions are being watched in config.yaml. Add an extension to the "watched_extensions" list to enable the file watcher.')
        return False
    
    # If the watcher is enabled and there are extensions, check that the extensions are valid against the allowed extensions list.
    for ext in config_dict['watcher']['extensions']:

        # If the extension starts with a dot, remove it and update it in the config_dict too.
        if ext.startswith('.'):
            ext = ext[1:]
            config_dict['watcher']['extensions'][config_dict['watcher']['extensions'].index(ext)] = ext

        if ext not in ALLOWED_EXTS:
            cuteprint(f'⚠️ The extension "{ext}" is not supported. Please check config.yaml.')
            return False

    return True