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import pandas as pd
import gradio as gr
import src.data_manager as dm
from datetime import datetime


def add_keyword(keyword, current_tags):
    """ํ‚ค์›Œ๋“œ ์ถ”๊ฐ€ (์ฝค๋งˆ๋กœ ๊ตฌ๋ถ„๋œ ์—ฌ๋Ÿฌ ํ‚ค์›Œ๋“œ ์ง€์›)"""
    if not keyword:
        return current_tags, "", ""

    # ๊ธฐ์กด ํƒœ๊ทธ ๋ฆฌ์ŠคํŠธ ๊ฐ€์ ธ์˜ค๊ธฐ
    if current_tags:
        tags_list = [tag.strip() for tag in current_tags.split(",") if tag.strip()]
    else:
        tags_list = []

    # ์ž…๋ ฅ๋œ ํ‚ค์›Œ๋“œ๋ฅผ ์ฝค๋งˆ๋กœ ๋ถ„ํ• ํ•˜์—ฌ ์ฒ˜๋ฆฌ
    new_keywords = [kw.strip() for kw in keyword.split(",") if kw.strip()]

    # ์ค‘๋ณต ํ‚ค์›Œ๋“œ ์ฒดํฌ
    duplicate_keywords = []
    added_keywords = []

    for new_keyword in new_keywords:
        if new_keyword:
            if new_keyword in tags_list:
                duplicate_keywords.append(new_keyword)
            else:
                tags_list.append(new_keyword)
                added_keywords.append(new_keyword)

    # ์ค‘๋ณต ํ‚ค์›Œ๋“œ๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ ๊ฒฝ๊ณ  ๋ฉ”์‹œ์ง€ ํ‘œ์‹œ
    if duplicate_keywords and not added_keywords:
        # ๋ชจ๋“  ํ‚ค์›Œ๋“œ๊ฐ€ ์ค‘๋ณต์ธ ๊ฒฝ์šฐ
        duplicate_list = ", ".join(duplicate_keywords)
        return current_tags, "", f"โŒ ์ด๋ฏธ ์กด์žฌํ•˜๋Š” ํ‚ค์›Œ๋“œ์ž…๋‹ˆ๋‹ค: {duplicate_list}"
    elif duplicate_keywords and added_keywords:
        # ์ผ๋ถ€ ํ‚ค์›Œ๋“œ๋งŒ ์ค‘๋ณต์ธ ๊ฒฝ์šฐ
        duplicate_list = ", ".join(duplicate_keywords)
        updated_tags = ", ".join(tags_list)
        return (
            updated_tags,
            "",
            f"โš ๏ธ ์ผ๋ถ€ ํ‚ค์›Œ๋“œ๊ฐ€ ์ค‘๋ณต๋˜์–ด ์ œ์™ธ๋˜์—ˆ์Šต๋‹ˆ๋‹ค: {duplicate_list}",
        )

    # ์—…๋ฐ์ดํŠธ๋œ ํƒœ๊ทธ ๋ฆฌ์ŠคํŠธ์™€ ๋นˆ ํ‚ค์›Œ๋“œ ์ž…๋ ฅ ํ•„๋“œ, ์„ฑ๊ณต ๋ฉ”์‹œ์ง€ ๋ฐ˜ํ™˜
    updated_tags = ", ".join(tags_list)
    added_list = ", ".join(added_keywords)
    return updated_tags, "", f"โœ… ํ‚ค์›Œ๋“œ๊ฐ€ ์ถ”๊ฐ€๋˜์—ˆ์Šต๋‹ˆ๋‹ค: {added_list}"


def create_node(title, description, tenant, tags):
    """์‚ฌ์šฉ์ž ์ž…๋ ฅ์œผ๋กœ ์ƒˆ ๋…ธ๋“œ ์ƒ์„ฑ"""
    if not title or not description:
        return (
            "โŒ ํ”„๋กœ์ ํŠธ ์ œ๋ชฉ๊ณผ ์„ค๋ช…์„ ๋ชจ๋‘ ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”.",
            title,
            description,
            tenant,
            "",
            tags,
            "",
        )

    # ํ…Œ๋„ŒํŠธ ํ•„์ˆ˜ ๊ฒ€์ฆ
    if not tenant:
        return (
            "โŒ ํ…Œ๋„ŒํŠธ(๊ทธ๋ฃน)๋ฅผ ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”.",
            title,
            description,
            tenant,
            "",
            tags,
            "",
        )

    # ํƒœ๊ทธ๋ฅผ ๋ฆฌ์ŠคํŠธ๋กœ ๋ณ€ํ™˜
    tags_list = [tag.strip() for tag in tags.split(",") if tag.strip()] if tags else []

    # ํ‚ค์›Œ๋“œ ํ•„์ˆ˜ ๊ฒ€์ฆ
    if not tags_list:
        return (
            "โŒ ํ‚ค์›Œ๋“œ๋ฅผ ์ตœ์†Œ 1๊ฐœ ์ด์ƒ ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”!",
            title,
            description,
            tenant,
            "",
            tags,
            "",
        )

    new_node = {
        "title": title,
        "description": description,
        "tenant": tenant.strip(),
        "tags": tags_list,
        "created_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
    }

    dm.nodes_data.append(new_node)

    dm.save_nodes()

    # ์„ฑ๊ณต์‹œ ๋ชจ๋“  ํ•„๋“œ ์ดˆ๊ธฐํ™”
    return "โœ… ์ƒˆ ๋…ธ๋“œ๊ฐ€ ์„ฑ๊ณต์ ์œผ๋กœ ์ƒ์„ฑ๋˜์—ˆ์Šต๋‹ˆ๋‹ค!", "", "", "", "", "", ""


def get_nodes_dataframe(search_text="", selected_tenants=None, selected_tags=None):
    """์ €์žฅ๋œ ๋…ธ๋“œ๋“ค์„ ๋ฐ์ดํ„ฐํ”„๋ ˆ์ž„์œผ๋กœ ๋ณ€ํ™˜ (๋‹ค์ค‘ ํ•„ํ„ฐ ์ง€์›)"""
    # ์ปฌ๋Ÿผ๋ช… ์ •์˜
    columns = ["์ƒ์„ฑ์ผ์ž", "๋…ธ๋“œ ์ด๋ฆ„", "ํ…Œ๋„ŒํŠธ", "์„ค๋ช…", "ํƒœ๊ทธ"]

    if not dm.nodes_data:
        return pd.DataFrame(columns=columns)

    # ํ•„ํ„ฐ๋ง๋œ ๋…ธ๋“œ๋“ค
    filtered_nodes = []
    for node in dm.nodes_data:
        # ํ…์ŠคํŠธ ๊ฒ€์ƒ‰ ํ•„ํ„ฐ (๋…ธ๋“œ ์ด๋ฆ„์—์„œ ๊ฒ€์ƒ‰)
        if search_text and search_text.lower() not in node["title"].lower():
            continue

        # ํ…Œ๋„ŒํŠธ ํ•„ํ„ฐ
        if selected_tenants and node.get("tenant", "๋ฏธ์ง€์ •") not in selected_tenants:
            continue

        # ํƒœ๊ทธ ํ•„ํ„ฐ (์„ ํƒ๋œ ํƒœ๊ทธ ์ค‘ ํ•˜๋‚˜๋ผ๋„ ํฌํ•จ๋˜์–ด์•ผ ํ•จ)
        if selected_tags:
            node_tags = node.get("tags", [])
            if not any(tag in node_tags for tag in selected_tags):
                continue

        filtered_nodes.append(
            {
                "์ƒ์„ฑ์ผ์ž": node.get("created_at", "๋ฏธ์ƒ"),
                "๋…ธ๋“œ ์ด๋ฆ„": node["title"],
                "ํ…Œ๋„ŒํŠธ": node.get("tenant", "๋ฏธ์ง€์ •"),
                "์„ค๋ช…": (
                    node["description"][:100] + "..."
                    if len(node["description"]) > 100
                    else node["description"]
                ),
                "ํƒœ๊ทธ": ", ".join(node.get("tags", [])),
            }
        )

    # ํ•„ํ„ฐ๋ง ๊ฒฐ๊ณผ๊ฐ€ ์—†์–ด๋„ ์ปฌ๋Ÿผ๋ช…์ด ์œ ์ง€๋˜๋„๋ก ๋นˆ DataFrame ๋ฐ˜ํ™˜
    if not filtered_nodes:
        return pd.DataFrame(columns=columns)

    return pd.DataFrame(filtered_nodes)


def filter_nodes_multi(search_text, selected_tenants, selected_tags):
    """๋‹ค์ค‘ ํ•„ํ„ฐ๋กœ ๋…ธ๋“œ ํ•„ํ„ฐ๋ง"""
    df = get_nodes_dataframe(search_text, selected_tenants, selected_tags)
    return gr.update(value=df)


def get_all_tags():
    """๋ชจ๋“  ๋…ธ๋“œ์˜ ํƒœ๊ทธ ๋ชฉ๋ก ๋ฐ˜ํ™˜"""
    all_tags = set()
    for node in dm.nodes_data:
        all_tags.update(node.get("tags", []))
    return sorted(list(all_tags))


def get_all_tenants():
    """๋ชจ๋“  ๋…ธ๋“œ์˜ ํ…Œ๋„ŒํŠธ ๋ชฉ๋ก ๋ฐ˜ํ™˜"""
    all_tenants = set()
    for node in dm.nodes_data:
        tenant = node.get("tenant", "๋ฏธ์ง€์ •")
        if tenant:
            all_tenants.add(tenant)
    return sorted(list(all_tenants))


def refresh_nodes():
    """๋…ธ๋“œ ๋ชฉ๋ก ์ƒˆ๋กœ๊ณ ์นจ"""
    dm.load_nodes()
    return get_nodes_dataframe(), get_all_tags(), get_all_tenants()


def get_node_details_by_index(index):
    """์ธ๋ฑ์Šค๋กœ ๋…ธ๋“œ ์ƒ์„ธ ์ •๋ณด ๊ฐ€์ ธ์˜ค๊ธฐ"""
    if 0 <= index < len(dm.nodes_data):
        node = dm.nodes_data[index]
        return (
            node.get("title", ""),
            node.get("description", ""),
            node.get("tenant", ""),
            ", ".join(node.get("tags", [])),
            node.get("created_at", ""),
        )
    return ("๋…ธ๋“œ๋ฅผ ์„ ํƒํ•ด์ฃผ์„ธ์š”.", "", "", "", "")


def update_node(index, title, description, tenant, tags_str):
    """๋…ธ๋“œ ์ •๋ณด ์—…๋ฐ์ดํŠธ"""
    if not title or not description:
        return "โŒ ๋…ธ๋“œ ์ œ๋ชฉ๊ณผ ์„ค๋ช…์„ ๋ชจ๋‘ ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”.", get_nodes_dataframe()

    if not tenant:
        return "โŒ ํ…Œ๋„ŒํŠธ๋ฅผ ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”.", get_nodes_dataframe()

    # ํƒœ๊ทธ๋ฅผ ๋ฆฌ์ŠคํŠธ๋กœ ๋ณ€ํ™˜
    tags_list = (
        [tag.strip() for tag in tags_str.split(",") if tag.strip()] if tags_str else []
    )

    if not tags_list:
        return "โŒ ํƒœ๊ทธ๋ฅผ ์ตœ์†Œ 1๊ฐœ ์ด์ƒ ์ž…๋ ฅํ•ด์ฃผ์„ธ์š”.", get_nodes_dataframe()

    if 0 <= index < len(dm.nodes_data):
        dm.nodes_data[index].update(
            {
                "title": title,
                "description": description,
                "tenant": tenant.strip(),
                "tags": tags_list,
            }
        )
        dm.save_nodes()
        return "โœ… ๋…ธ๋“œ๊ฐ€ ์„ฑ๊ณต์ ์œผ๋กœ ์ˆ˜์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค.", get_nodes_dataframe()

    return "โŒ ์ˆ˜์ •ํ•  ๋…ธ๋“œ๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.", get_nodes_dataframe()


def delete_node(index):
    """๋…ธ๋“œ ์‚ญ์ œ"""
    if 0 <= index < len(dm.nodes_data):
        deleted_node = dm.nodes_data.pop(index)
        dm.save_nodes()
        return (
            f"๋…ธ๋“œ '{deleted_node.get('title', '์•Œ ์ˆ˜ ์—†์Œ')}'๊ฐ€ ์‚ญ์ œ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.",
            get_nodes_dataframe(),
        )

    return "โŒ ์‚ญ์ œํ•  ๋…ธ๋“œ๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.", get_nodes_dataframe()