app.py

import os
import json
import gradio as gr
from pathlib import Path
from io import BytesIO
import base64
import requests
from PIL import Image

# =============== 配置：HF dataset 仓库 ID =================
HF_DATASET_ID = "maplebb/UniREditBench-Results"
HF_BASE_URL = f"https://huggingface.co/datasets/{HF_DATASET_ID}/resolve/main"
BASE_HF_URL = f"https://huggingface.co/datasets/{HF_DATASET_ID}/resolve/main"

_image_cache = {}
_html_cache = {}

def get_url_response(url):
    try:
        resp = requests.get(url, timeout=10)
        resp.raise_for_status()
        return resp
    except Exception as e:
        print(f"Error fetching {url}: {e}")
        return None

def load_image_uniredit(rel_path: str):
    """从 UniREditBench 数据集拉图（后端 requests）"""
    rel_path = rel_path.lstrip("/")
    if rel_path in _image_cache:
        return _image_cache[rel_path]
    url = f"{BASE_HF_URL}/{rel_path}"
    resp = get_url_response(url)
    if not resp:
        return None
    img = Image.open(BytesIO(resp.content)).convert("RGB")
    _image_cache[rel_path] = img
    return img

def pil_to_base64(img):
    if img is None:
        return ""
    buf = BytesIO()
    img.save(buf, format="PNG")
    s = base64.b64encode(buf.getvalue()).decode("utf-8")
    return f"data:image/png;base64,{s}"

ROOT_DIR = Path(__file__).resolve().parent

# =============== data.json 还是放在 Space 本地 =================
# 如果想把 data.json 也放到 dataset 里，可以改成用 hf_hub_download（后面我再写）
JSON_PATH = ROOT_DIR / "data.json"

# =============== 读 json & 建索引 =================
with open(JSON_PATH, "r", encoding="utf-8") as f:
    data = json.load(f)

ALL_NAMES = sorted({item["name"] for item in data})

# (name, idx_str) -> item
INDEX_MAP = {(item["name"], str(item["idx"])): item for item in data}

# =============== baseline 模型列表（现在不能再 os.listdir，本地没图了） =================
# 建议直接手动写齐你有的模型
ALL_MODELS = [
    "Bagel-Think",
    "DreamOmni2",
    "GPT-4o",
    "Lumina-DiMOO",
    "MagicBrush",
    "Nano-Banana",
    "Omnigen2",
    "Qwen-Image-Edit",
    "Seedream4.0",
    "UniREdit-Bagel",
    "UniWorld-V2",
]

PRIORITY_MODELS = ["Bagel-Think", "GPT-4o", "Qwen-Image-Edit", "UniREdit-Bagel", "Nano-Banana"]

BASELINE_MODELS = (
    [m for m in PRIORITY_MODELS if m in ALL_MODELS]
    + sorted([m for m in ALL_MODELS if m not in PRIORITY_MODELS])
)

HTML_HEAD = '<table class="center">'
HTML_TAIL = "</table>"
N_COL = 4
WIDTH = 100 // N_COL


def get_indices_for_name(name: str):
    """给定 name，返回该类下面所有 idx（字符串），按数字排序。"""
    if not name:
        return []
    idxs = {str(item["idx"]) for item in data if item["name"] == name}
    return sorted(idxs, key=lambda x: int(x))


def render_img_html(rel_path: str, max_h=512):
    if not rel_path:
        return "<p>No original image.</p>"

    key = (rel_path, None)  # 不区分高度
    if key in _html_cache:
        data_url = _html_cache[key]
        return f'<img src="{data_url}" style="max-width:100%; max-height:{max_h}px;">'

    img = load_image_uniredit(rel_path)
    if img is None:
        return "<p>Failed to load image.</p>"

    # 不再 resize，直接按原分辨率编码
    data_url = pil_to_base64(img)
    _html_cache[key] = data_url

    return f'<img src="{data_url}" style="max-width:100%; max-height:{max_h}px;">'


def get_baseline_gallery(name: str, idx: str, models):
    """生成 baseline 图像的 HTML 表格（使用远程 URL）."""
    if not name or not idx:
        return "<p>Please select name and idx.</p>"

    # 没勾选就默认显示所有 baseline
    if not models:
        models = BASELINE_MODELS

    models = list(models)

    html = HTML_HEAD
    num_models = len(models)

    for row in range((num_models - 1) // N_COL + 1):
        sub_models = models[row * N_COL : (row + 1) * N_COL]

        # 第一行：模型名
        html += "<tr>"
        for m in sub_models:
            html += (
                f'<td width="{WIDTH}%" style="text-align:center;"><h4>{m}</h4></td>'
            )
        for _ in range(N_COL - len(sub_models)):
            html += f'<td width="{WIDTH}%"></td>'
        html += "</tr>"

        # 第二行：对应图片
        html += "<tr>"
        for m in sub_models:
            rel_path = f"Unireditbench_baseline_images/{m}/{name}/{idx}.png"
            cell = render_img_html(rel_path, max_h=256)
            html += f'<td width="{WIDTH}%" style="text-align:center;">{cell}</td>'
        for _ in range(N_COL - len(sub_models)):
            html += f'<td width="{WIDTH}%"></td>'
        html += "</tr>"

    html += HTML_TAIL
    return html


def update_idx_dropdown(name):
    """当 name 改变时，更新 idx 下拉选项."""
    idxs = get_indices_for_name(name)
    default = idxs[0] if idxs else None
    return gr.Dropdown(choices=idxs, value=default)


def load_sample(name, idx, selected_models):
    key = (name, str(idx))
    item = INDEX_MAP.get(key)

    if item is None:
        info_md = f"**Not found:** name = {name}, idx = {idx}"
        return info_md, "", "", "<p>Sample not found.</p>", "<p>Sample not found.</p>"

    info_md = (
        f"**Category (name):** {item['name']}  \n"
        f"**Index (idx):** {item['idx']}"
    )
    instruction = item.get("instruction", "")
    rules = item.get("rules", "")

    # data.json 里原本的 original_image_path 建议直接保持为相对路径：
    #   "original_image_path": "original_image/jewel2/0001.png"
    orig_rel = item.get("original_image_path", "")
    orig_html = render_img_html(orig_rel, max_h=512)

    gallery_html = get_baseline_gallery(name, str(idx), selected_models)

    return info_md, instruction, rules, orig_html, gallery_html

def _step_idx(name: str, idx: str, direction: int):
    """direction=-1 上一个, direction=+1 下一个；到边界就停住。"""
    idxs = get_indices_for_name(name)
    if not idxs:
        return None
    idx = str(idx)
    if idx not in idxs:
        cur = 0
    else:
        cur = idxs.index(idx)

    new_pos = cur + direction
    new_pos = max(0, min(len(idxs) - 1, new_pos))
    return idxs[new_pos]


def prev_sample(name, idx, selected_models):
    new_idx = _step_idx(name, idx, direction=-1)
    if new_idx is None:
        # 保持不变
        info_md, instruction, rules, orig_html, gallery_html = load_sample(name, idx, selected_models)
        return gr.update(), info_md, instruction, rules, orig_html, gallery_html

    info_md, instruction, rules, orig_html, gallery_html = load_sample(name, new_idx, selected_models)
    return gr.update(value=new_idx), info_md, instruction, rules, orig_html, gallery_html


def next_sample(name, idx, selected_models):
    new_idx = _step_idx(name, idx, direction=+1)
    if new_idx is None:
        info_md, instruction, rules, orig_html, gallery_html = load_sample(name, idx, selected_models)
        return gr.update(), info_md, instruction, rules, orig_html, gallery_html

    info_md, instruction, rules, orig_html, gallery_html = load_sample(name, new_idx, selected_models)
    return gr.update(value=new_idx), info_md, instruction, rules, orig_html, gallery_html


# ================== Gradio UI ==================
with gr.Blocks() as demo:
    gr.Markdown("# UniREditBench Gallery")

    with gr.Row():
        with gr.Column(scale=1):
            default_name = ALL_NAMES[0] if ALL_NAMES else None
            default_idxs = get_indices_for_name(default_name) if default_name else []
            default_idx = default_idxs[0] if default_idxs else None

            name_dropdown = gr.Dropdown(
                label="Category (name)",
                choices=ALL_NAMES,
                value=default_name,
            )

            idx_dropdown = gr.Dropdown(
                label="Idx",
                choices=default_idxs,
                value=default_idx,
            )

            with gr.Row():
                prev_button = gr.Button("Prev")
                next_button = gr.Button("Next")
                load_button = gr.Button("Load sample")
                

            model_checkboxes = gr.CheckboxGroup(
                label="Baselines to show",
                choices=BASELINE_MODELS,     # 还是所有模型都可以选
                value=PRIORITY_MODELS,       # ✅ 默认只勾选优先那几个
            )

        with gr.Column(scale=2):
            info_markdown = gr.Markdown(label="Info")
            instruction_box = gr.Textbox(
                label="Instruction", lines=4, interactive=False
            )
            rules_box = gr.Textbox(
                label="Rules", lines=3, interactive=False
            )

        with gr.Column(scale=2):
            gr.Markdown("### Original Image")
            orig_image_html = gr.HTML()


    gallery_html = gr.HTML()

    name_dropdown.change(
        fn=update_idx_dropdown,
        inputs=name_dropdown,
        outputs=idx_dropdown,
    )

    load_button.click(
        fn=load_sample,
        inputs=[name_dropdown, idx_dropdown, model_checkboxes],
        outputs=[info_markdown, instruction_box, rules_box, orig_image_html, gallery_html]
    )
    
    # Prev / Next：会同时更新 idx_dropdown + 刷新所有内容
    prev_button.click(
        fn=prev_sample,
        inputs=[name_dropdown, idx_dropdown, model_checkboxes],
        outputs=[idx_dropdown, info_markdown, instruction_box, rules_box, orig_image_html, gallery_html]
    )

    next_button.click(
        fn=next_sample,
        inputs=[name_dropdown, idx_dropdown, model_checkboxes],
        outputs=[idx_dropdown, info_markdown, instruction_box, rules_box, orig_image_html, gallery_html]
    )


if __name__ == "__main__":
    # 不再需要 allowed_paths / set_static_paths
    demo.launch(server_name="0.0.0.0", server_port=7860)