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import os
import tempfile
import gradio as gr
from PIL import Image

# Import Tagger Processors
from modules.taggers.joint import JointTaggerProcessor, run_joint_classifier
from modules.taggers.cl import CLTaggerProcessor
from modules.taggers.pixai import PixaiTaggerProcessor
from modules.taggers.anime import AnimeTaggerProcessor
from modules.taggers.gemini import GeminiTaggerProcessor

# Import Managers and Utils
from modules.managers.category_manager import kategori_sozlugu_yukle, kategorizelendir_ileri
from modules.tagger_refinement import rafine_etiketler
from modules.utils.tag_utils import unique_and_sort_tags
from modules.managers.rule_manager import apply_additions

# --- CL Tagger Modülünü İçe Aktarma ---
try:
    from modules.cl_tagger_module import CLTagger
except ImportError:
    try: from .cl_tagger_module import CLTagger # Fallback for relative import
    except ImportError:
        print("cl_tagger_module.py bulunamadı.")
        CLTagger = None

# Global Instance Variables
cl_tagger_instance = None
try:
    if CLTagger:
        cl_tagger_instance = CLTagger()
        print("CL Tagger (ONNX) başarıyla yüklendi.")
except Exception as e:
    print(f"CL Tagger (ONNX) yüklenirken hata: {e}")
    cl_tagger_instance = None

# --- Ortak İşleme Fonksiyonu ---
def _process_single_image(

    image, 

    joint_thresh, use_joint, 

    cl_gen_thresh, cl_char_thresh, use_cl_tagger, 

    pixai_general_thresh, pixai_char_thresh, use_pixai_tagger,

    animetagger_model, animetagger_thresh, use_animetagger, 

    use_gemini, gemini_api_key, gemini_mode, gemini_model_id, 

    gemini_prompt_vision, gemini_prompt_tags, gemini_prompt_hybrid,

    gemini_system_instruction,

    replacement_file_path, synonym_file_path, addition_file_path,

    sort_order="Alfabetik", 

    device: str = "Auto",

    context_weight: float = 0.0,

    enable_cat_for_gemini=False, selected_cats_for_gemini=None 

):
    if image is None: return "", "", "", "⚠️ Resim yüklenmedi.", [] 
    
    alert_messages = []
    all_tags = set()
    all_raw_tags_for_original_sort = []
    gemini_result_text = ""

    current_joint_processor = JointTaggerProcessor(replacement_file_path, synonym_file_path, addition_file_path)
    current_cl_tagger_processor = CLTaggerProcessor(cl_tagger_instance, replacement_file_path, synonym_file_path, addition_file_path)
    current_pixai_processor = PixaiTaggerProcessor(replacement_file_path, synonym_file_path, addition_file_path)
    current_animetagger_processor = AnimeTaggerProcessor(replacement_file_path, synonym_file_path, addition_file_path)
    current_gemini_processor = GeminiTaggerProcessor()

    if use_joint:
        j_raw, j_alert, j_order = current_joint_processor.predict(image, joint_thresh, replacement_file_path, synonym_file_path, addition_file_path, sort_order, device)
        if "Hata" not in j_raw and "❌" not in j_alert:
            all_tags.update(t.strip() for t in j_raw.split(',') if t.strip())
            all_raw_tags_for_original_sort.extend(j_order)
        else: alert_messages.append(f"Joint: {j_alert}")

    if use_cl_tagger:
        cl_raw, cl_alert, cl_order = current_cl_tagger_processor.predict(image, cl_gen_thresh, cl_char_thresh, replacement_file_path, synonym_file_path, addition_file_path, sort_order) 
        if "Hata" not in cl_raw and "❌" not in cl_alert:
            all_tags.update(t.strip() for t in cl_raw.split(',') if t.strip())
            all_raw_tags_for_original_sort.extend(cl_order)
        else: alert_messages.append(f"CL: {cl_alert}")

    if use_pixai_tagger:
        p_raw, p_alert, p_order = current_pixai_processor.predict(image, pixai_general_thresh, pixai_char_thresh, replacement_file_path, synonym_file_path, addition_file_path, "Orijinal", device)
        if "Hata" not in p_raw and "❌" not in p_alert:
            all_tags.update(t.strip() for t in p_raw.split(',') if t.strip())
            all_raw_tags_for_original_sort.extend(p_order)
        else: alert_messages.append(f"PixAI: {p_alert}")

    if use_animetagger:
        a_raw, a_alert, a_order = current_animetagger_processor.predict(image, animetagger_model, animetagger_thresh, replacement_file_path, synonym_file_path, addition_file_path, "Orijinal", device)
        if "Hata" not in a_raw and "❌" not in a_alert:
            all_tags.update(t.strip() for t in a_raw.split(',') if t.strip())
            all_raw_tags_for_original_sort.extend(a_order)
        else: alert_messages.append(f"AnimeTagger: {a_alert}")

    combined_final_tags_string = unique_and_sort_tags(", ".join(list(all_tags)), sort_order, original_order_ref=all_raw_tags_for_original_sort)
    
    refined_final_tags_string = rafine_etiketler(combined_final_tags_string, context_weight)
    
    refined_final_tags_string = apply_additions(refined_final_tags_string, addition_file_path)

    if use_gemini:
        active_prompt = gemini_prompt_vision
        if gemini_mode == "Tags": active_prompt = gemini_prompt_tags
        elif gemini_mode == "Vision + Tags": active_prompt = gemini_prompt_hybrid
            
        tags_content_for_gemini = ""
        if gemini_mode in ["Tags", "Vision + Tags"]:
            source_tags = refined_final_tags_string if refined_final_tags_string else combined_final_tags_string
            if enable_cat_for_gemini and selected_cats_for_gemini:
                tags_content_for_gemini = kategorizelendir_ileri(source_tags, selected_cats_for_gemini, kategori_sozlugu_yukle())
            else:
                tags_content_for_gemini = source_tags
        
        g_text, g_alert = current_gemini_processor.predict(
            image, gemini_api_key, active_prompt, gemini_mode, 
            tags_content_for_gemini, gemini_model_id, 
            gemini_system_instruction
        )
        if "❌" in g_alert or "⚠️" in g_alert: alert_messages.append(f"Gemini: {g_alert}")
        else: gemini_result_text = g_text
            
    final_alert = "✅ İşlem tamamlandı!" if not alert_messages else "❌ Hatalar: " + "; ".join(alert_messages)

    return combined_final_tags_string, refined_final_tags_string, gemini_result_text, final_alert, all_raw_tags_for_original_sort

# --- Ana Etiketleme Fonksiyonları ---

def toplu_islem(

    image, 

    joint_thresh, use_joint, 

    cl_gen_thresh, cl_char_thresh, use_cl_tagger, 

    pixai_general_thresh, pixai_char_thresh, use_pixai_tagger, 

    animetagger_model, animetagger_thresh, use_animetagger, 

    use_gemini, gemini_api_key, gemini_mode, gemini_model_id,

    gemini_prompt_vision, gemini_prompt_tags, gemini_prompt_hybrid,

    gemini_system_instruction,

    replacement_file_path, synonym_file_path, addition_file_path,

    enable_categorization, selected_categories, sort_order="Alfabetik", device: str = "Auto", context_weight: float = 0.0

):
    final_tags_string, refined_tags_string, gemini_out, alert_message, _ = _process_single_image(
        image, 
        joint_thresh, use_joint, 
        cl_gen_thresh, cl_char_thresh, use_cl_tagger, 
        pixai_general_thresh, pixai_char_thresh, use_pixai_tagger, 
        animetagger_model, animetagger_thresh, use_animetagger, 
        use_gemini, gemini_api_key, gemini_mode, gemini_model_id,
        gemini_prompt_vision, gemini_prompt_tags, gemini_prompt_hybrid,
        gemini_system_instruction,
        replacement_file_path, synonym_file_path, addition_file_path,
        sort_order, device, context_weight,
        enable_cat_for_gemini=enable_categorization, selected_cats_for_gemini=selected_categories
    )
    
    source_for_cat = refined_tags_string if refined_tags_string else final_tags_string
    categorized_tags_output = kategorizelendir_ileri(source_for_cat, selected_categories, kategori_sozlugu_yukle()) if (enable_categorization and selected_categories) else ""
    
    parts = []
    if categorized_tags_output: parts.append(categorized_tags_output)
    if gemini_out: parts.append(gemini_out)
    combined_cat_gem = ", ".join(parts)
    
    return alert_message, final_tags_string, refined_tags_string, categorized_tags_output, gemini_out, combined_cat_gem

def toplu_islem_batch(

    progress=gr.Progress(), images=None, 

    joint_thresh=0.25, use_joint=True, 

    cl_gen_thresh=0.55, cl_char_thresh=0.60, use_cl_tagger=True, 

    pixai_general_thresh=0.30, pixai_char_thresh=0.85, use_pixai_tagger=False, 

    animetagger_model="MobileNet V4 (Hızlı)", animetagger_thresh=0.35, use_animetagger=False, 

    use_gemini=False, gemini_api_key="", gemini_mode="Vision", gemini_model_id="gemini-2.5-flash",

    gemini_prompt_vision="", gemini_prompt_tags="", gemini_prompt_hybrid="",

    gemini_system_instruction="",

    replacement_file_path="", synonym_file_path="", addition_file_path="",

    enable_categorization=False, selected_categories=None, sort_order="Alfabetik", device: str = "Auto", context_weight: float = 0.0

):
    if not images: return "⚠️ Resim yüklenmedi.", "", None, "", "", "", ""
    all_final, all_refined, all_cat, all_orig, all_gemini, results_html, alerts = [], [], [], [], [], [], []
    total = len(images)

    for i, img_obj in enumerate(images):
        progress(i / total, desc=f"İşleniyor: {os.path.basename(img_obj.name)} ({i+1}/{total})")
        try: image = Image.open(img_obj.name)
        except Exception as e: alerts.append(f"{img_obj.name}: Okuma hatası: {e}"); continue

        comb, ref, gem_out, alert, orig = _process_single_image(
            image, 
            joint_thresh, use_joint, 
            cl_gen_thresh, cl_char_thresh, use_cl_tagger, 
            pixai_general_thresh, pixai_char_thresh, use_pixai_tagger, 
            animetagger_model, animetagger_thresh, use_animetagger, 
            use_gemini, gemini_api_key, gemini_mode, gemini_model_id,
            gemini_prompt_vision, gemini_prompt_tags, gemini_prompt_hybrid,
            gemini_system_instruction,
            replacement_file_path, synonym_file_path, addition_file_path,
            sort_order, device, context_weight,
            enable_cat_for_gemini=enable_categorization, selected_cats_for_gemini=selected_categories
        )
        
        if "❌" in alert or "⚠️" in alert: alerts.append(f"{img_obj.name}: {alert}")
        else:
            all_final.append(comb); all_refined.append(ref); all_orig.extend(orig)
            if gem_out: all_gemini.append(f"--- {os.path.basename(img_obj.name)} ---\n{gem_out}")
            
            source = ref if ref else comb
            cat_out = kategorizelendir_ileri(source, selected_categories, kategori_sozlugu_yukle()) if (enable_categorization and selected_categories) else ""
            if cat_out: all_cat.append(cat_out)
            
            html_part = f"<div style='border:1px solid #ddd; padding:10px; margin:5px;'><b>{os.path.basename(img_obj.name)}</b><br>Tags: {ref}"
            if gem_out: html_part += f"<br><i>Gemini: {gem_out}</i>"
            html_part += "</div>"
            results_html.append(html_part)

    progress(1.0, desc="✅ Bitti.")
    final_alert = "✅ Başarılı!" if not alerts else "⚠️ Hatalar:\n" + "\n".join(alerts)
    out_file = None
    if all_final:
        with tempfile.NamedTemporaryFile(mode='w+', encoding='utf-8', delete=False, suffix=".txt") as tf:
            tf.write("\n".join(all_final)); out_file = tf.name
            
    gemini_combined_str = "\n\n".join(all_gemini)
    return final_alert, "<br>".join(results_html), out_file, "\n".join(all_cat), unique_and_sort_tags(", ".join(list(set(all_orig))), "Alfabetik"), unique_and_sort_tags(", ".join(all_refined), "Alfabetik"), gemini_combined_str

def process_dual_images(image1, image2, joint_thresh1, use_joint1, joint_thresh2, use_joint2, cl_gen_thresh1, cl_char_thresh1, use_cl_tagger1, cl_gen_thresh2, cl_char_thresh2, use_cl_tagger2, pixai_general_thresh1, pixai_char_thresh1, use_pixai_tagger1, pixai_general_thresh2, pixai_char_thresh2, use_pixai_tagger2, animetagger_model1, animetagger_thresh1, use_animetagger1, animetagger_model2, animetagger_thresh2, use_animetagger2, 

                        use_gemini, gemini_api_key, gemini_mode, gemini_model_id,

                        gemini_prompt_vision, gemini_prompt_tags, gemini_prompt_hybrid,

                        gemini_system_instruction,

                        replacement_file_path, synonym_file_path, addition_file_path,

                        enable_categorization_img1, selected_categories_img1, enable_categorization_img2, selected_categories_img2, sort_order="Alfabetik", device: str = "Auto", context_weight: float = 0.0):
    images_settings = [
        (image1, use_joint1, joint_thresh1, cl_gen_thresh1, cl_char_thresh1, use_cl_tagger1, pixai_general_thresh1, pixai_char_thresh1, use_pixai_tagger1, animetagger_model1, animetagger_thresh1, use_animetagger1, enable_categorization_img1, selected_categories_img1),
        (image2, use_joint2, joint_thresh2, cl_gen_thresh2, cl_char_thresh2, use_cl_tagger2, pixai_general_thresh2, pixai_char_thresh2, use_pixai_tagger2, animetagger_model2, animetagger_thresh2, use_animetagger2, enable_categorization_img2, selected_categories_img2)
    ]
    alerts, cats, all_tags_sets, refined_sets, orig_tags, gemini_results = [], [], [], [], [], []
    
    for img, uj, jt, cg, cc, uc, pg, pc, up, am, at, ua, enc, selc in images_settings:
        comb, ref, gem_out, alert, orig = _process_single_image(
            img, jt, uj, cg, cc, uc, pg, pc, up, am, at, ua, 
            use_gemini, gemini_api_key, gemini_mode, gemini_model_id,
            gemini_prompt_vision, gemini_prompt_tags, gemini_prompt_hybrid,
            gemini_system_instruction,
            replacement_file_path, synonym_file_path, addition_file_path,
            sort_order, device, context_weight,
            enable_cat_for_gemini=enc, selected_cats_for_gemini=selc
        )
        if "❌" in alert: alerts.append(alert)
        all_tags_sets.append(set(comb.split(', '))); refined_sets.append(set(ref.split(', '))); orig_tags.extend(orig)
        gemini_results.append(gem_out)
        src = ref if ref else comb
        cats.append(kategorizelendir_ileri(src, selc, kategori_sozlugu_yukle()) if (enc and selc) else "")

    combined_all = unique_and_sort_tags(", ".join(list(set().union(*all_tags_sets))), sort_order, orig_tags)
    combined_ref = unique_and_sort_tags(", ".join(list(set().union(*refined_sets))), sort_order, orig_tags)
    
    combined_all = apply_additions(combined_all, addition_file_path)
    combined_ref = apply_additions(combined_ref, addition_file_path)
    
    combined_cat = unique_and_sort_tags(", ".join([c for c in cats if c]), sort_order, orig_tags)
    
    valid_captions = [g.strip() for g in gemini_results if g and g.strip()]
    gemini_combined_text = " ".join(valid_captions)

    parts = []
    if combined_cat: parts.append(combined_cat)
    if gemini_combined_text: parts.append(gemini_combined_text)
    
    combined_cat_plus_gem = ", ".join(parts)
    
    return alerts, combined_all, combined_ref, combined_cat, gemini_combined_text, combined_cat_plus_gem