import json
import gradio as gr
import os
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.text import tokenizer_from_json

def load_doc(filename):
	# open the file as read only 
	file = open(filename, 'r')
	# read all text
	text = file.read()
	# close the file 
	file.close()
	return text

def load_tokenizer(tokenizer_path):
	with open(tokenizer_path) as f:
		data = json.load(f)
		tokenizer = Tokenizer()
		tokenizer = tokenizer_from_json(data)
	return tokenizer

####  utilità per interfaccia Gradio

def global_file_loader(file_data):
    """
    Gestisce il caricamento file dalla Sidebar.
    Supporta sia input stringa (Gradio 5 single) che lista.
    """
    if isinstance(file_data, list):
        if not file_data:
            return [gr.update() for _ in range(6)]
        file_path = file_data[0]
    else:
        # Se è None o stringa vuota
        if not file_data:
            return [gr.update() for _ in range(6)]
        file_path = file_data # È già la stringa del percorso

    ext = os.path.splitext(file_path)[1].lower()
    
    # Valori di default 
    bpo_update = gr.update()
    forecast_update = gr.update()
    img_xray_update = gr.update()
    img_retina_update = gr.update()
    news_update = gr.update()
    sentiment_update = gr.update()
    
    try:
        # LOGICA PER IMMAGINI
        if ext in ['.jpg', '.jpeg', '.png', '.bmp', '.tif', '.tiff']:
            # Gradio accetta il path assoluto se è in allowed_paths
            img_xray_update = gr.Image(value=file_path)
            img_retina_update = gr.Image(value=file_path)
            
        # LOGICA PER TESTI
        elif ext in ['.txt', '.log', '.md', '.json']:
            with open(file_path, "r", encoding="utf-8") as f:
                content = f.read()

        elif ext in ['.csv']:
            forecast_update = gr.update(value=file_path)
        
            try:
                with open(file_path, "r", encoding="utf-8") as f:
                    content = f.read()
                
                bpo_update = gr.Textbox(value=content)
                news_update = gr.Textbox(value=content)
                sentiment_update = gr.Textbox(value=content)
            except:
                pass
            
    except Exception as e:
        print(f"Errore lettura file: {e}")

    return bpo_update, forecast_update, img_xray_update, img_retina_update, news_update, sentiment_update

def enable_sidebar(new_root):
    """Mostra la sidebar e aggiorna il path (Per Computer Vision)"""
    return gr.update(visible=True), gr.update(root_dir=new_root, value=[], interactive=True), None, None

def disable_sidebar():
    """Nasconde la sidebar (Per NLP)"""
    return gr.update(visible=False), gr.update(value=[]), None, None

def render_ner_html(entities):
    """
    Trasforma la lista [('testo', 'LABEL'), ('testo', None)] in HTML puro.
    """
    # Mappa colori HEX
    colors = {
        "CODICE CLIENTE": "#3b82f6", # Blue 500
        "N. FATTURA": "#f97316",     # Orange 500
        "COD. FORNITURA": "#d946ef", # Fuchsia 500
        "EMAIL": "#ef4444",          # Red 500
        "TELEFONO": "#06b6d4",       # Cyan 500
        "PERSONA": "#22c55e",        # Green 500
        "AZIENDA": "#8b5cf6",        # Violet 500
        "LUOGO": "#64748b",          # Slate 500
        "POSSIBILE ID": "#a8a29e"    # Stone 400
    }

    html = "<div style='line-height: 2.2; font-family: sans-serif; font-size: 16px; color: #334155; background-color: #1e293b'>"
    
    for text, label in entities:
        if label:
            # Recupera colore o usa grigio di default
            c = colors.get(label, "#1e293b")
            
            # Crea lo "Chip" (Pillola colorata)
            # - bg-color con opacità (c + '20')
            # - border solido
            # - label piccola in grassetto accanto al testo
            html += f"""
            <span style='background-color: {c}20; border: 1px solid {c}; border-radius: 6px; padding: 2px 6px; margin: 0 2px; white-space: nowrap;'>
                <span style='font-size: 0.75em; font-weight: 700; color: {c}; text-transform: uppercase;'>{label}</span>
                <span style='font-weight: 600; color: white; margin-left: 6px;'>{text}</span>
            </span>
            """
        else:
            # Testo normale
            html += text.replace("\n", "<br>") # Gestisce a capo
            
    html += "</div>"
    return html