modules/exif.py

import os
import imghdr
import hashlib
import exifread
import gradio as gr
import pandas as pd
from PIL import Image
from utils import clean_dir, compress, mk_dir, unzip, TMP_DIR, EN_US

ZH2EN = {
    "单图片处理": "Process single picture",
    "上传图片": "Upload picture",
    "导出原格式": "Export original format",
    "下载清理 EXIF 后的图片": "Download cleaned picture",
    "批量处理": "Batch processor",
    "上传包含多图片的 zip 压缩包 (确保上传进度至 100% 后再提交)": "Upload pictures zip (please ensure the zip is completely uploaded before clicking submit)",
    "导出原格式": "Export original format",
    "下载清理 EXIF 后的多图片压缩包": "Download cleaned pictures",
    "EXIF 列表": "EXIF list",
    "状态栏": "Status",
}


def _L(zh_txt: str):
    return ZH2EN[zh_txt] if EN_US else zh_txt


def get_exif(origin_file_path):
    with open(origin_file_path, "rb") as image_file:
        tags = exifread.process_file(image_file)

    output = ""
    for key in tags.keys():
        value = str(tags[key])
        output += "{0}:{1}\n".format(key, value)

    return output


def clear_exif(img_path: str, cache: str, img_mode=None, outdir=""):
    save_path = f"{cache}/{outdir}output." + img_path.split(".")[-1]
    img = Image.open(img_path)
    data = list(img.getdata())
    if img_mode:
        save_path = f"{cache}/{outdir}{hashlib.md5(img_path.encode()).hexdigest()}.jpg"
    else:
        img_mode = img.mode

    img_without_exif = Image.new(img_mode, img.size)
    img_without_exif.putdata(data)
    img_without_exif.save(save_path)
    return save_path


def find_images(dir_path: str):
    found_images = []
    for root, _, files in os.walk(dir_path):
        for file in files:
            fpath = os.path.join(root, file).replace("\\", "/")
            if imghdr.what(fpath) != None:
                found_images.append(fpath)

    return found_images


# outer func
def infer(img_path: str, keep_ext: bool, cache=f"{TMP_DIR}/exif"):
    status = "Success"
    out_img = out_exif = None
    try:
        if not img_path or imghdr.what(img_path) == None:
            raise ValueError("请输入图片！")

        clean_dir(cache)
        img_mode = "RGB" if not keep_ext else None
        out_img = clear_exif(img_path, cache, img_mode)
        out_exif = get_exif(img_path)

    except Exception as e:
        status = f"{e}"

    return status, out_img, out_exif


# outer func
def batch_infer(imgs_zip: str, keep_ext: bool, cache=f"{TMP_DIR}/exif"):
    status = "Success"
    out_images = out_exifs = None
    try:
        if not imgs_zip:
            raise ValueError("Please upload pictures zip!")

        clean_dir(cache)
        mk_dir(f"{cache}/outputs")
        extract_to = f"{cache}/inputs"
        unzip(imgs_zip, extract_to)
        imgs = find_images(extract_to)
        img_mode = "RGB" if not keep_ext else None
        exifs = []
        for img in imgs:
            clear_exif(img, cache, img_mode, "outputs/")
            exifs.append({"filename": os.path.basename(img), "exif": get_exif(img)})

        if not exifs:
            raise ValueError("No picture in the zip")

        out_images = f"{cache}/outputs.zip"
        compress(f"{cache}/outputs", out_images)
        out_exifs = pd.DataFrame(exifs)

    except Exception as e:
        status = f"{e}"

    return status, out_images, out_exifs


def clexif():
    with gr.Blocks() as iface:
        with gr.Tab(_L("单图片处理")):
            gr.Interface(
                fn=infer,
                inputs=[
                    gr.File(
                        label=_L("上传图片"),
                        file_types=["image"],
                    ),
                    gr.Checkbox(
                        label=_L("导出原格式"),
                        value=False,
                    ),
                ],
                outputs=[
                    gr.Textbox(label=_L("状态栏"), show_copy_button=True),
                    gr.Image(
                        label=_L("下载清理 EXIF 后的图片"),
                        type="filepath",
                        show_share_button=False,
                    ),
                    gr.Textbox(label="EXIF", show_copy_button=True),
                ],
                flagging_mode="never",
            )

        with gr.Tab(_L("批量处理")):
            gr.Interface(
                fn=batch_infer,
                inputs=[
                    gr.File(
                        label=_L(
                            "上传包含多图片的 zip 压缩包 (确保上传进度至 100% 后再提交)"
                        ),
                        file_types=[".zip"],
                    ),
                    gr.Checkbox(
                        label=_L("导出原格式"),
                        value=False,
                    ),
                ],
                outputs=[
                    gr.Textbox(label=_L("状态栏"), show_copy_button=True),
                    gr.File(
                        label=_L("下载清理 EXIF 后的多图片压缩包"),
                        type="filepath",
                    ),
                    gr.Dataframe(label=_L("EXIF 列表")),
                ],
                flagging_mode="never",
            )

    return iface