import os from hashlib import sha256, md5 from datetime import datetime import requests from natsort import ns, natsorted def get_md5(file_path): data_md5 = None if os.path.isfile(file_path): f = open(file_path, 'rb') md5_obj = md5() md5_obj.update(f.read()) hash_code = md5_obj.hexdigest() f.close() data_md5 = str(hash_code).lower() return data_md5 def get_modified_time(file_path): # 获取文件最后修改的时间戳 timestamp = os.path.getmtime(file_path) # 将时间戳转换为datetime对象,并格式化为指定格式的字符串 modified_time = datetime.fromtimestamp(timestamp).strftime('%Y-%m-%d %H:%M:%S') return modified_time def compare_two_times(time_str1, time_str2): # 定义时间格式 time_format = "%Y-%m-%d %H:%M:%S" # 将时间字符串解析为datetime对象 time1 = datetime.strptime(time_str1, time_format) time2 = datetime.strptime(time_str2, time_format) # 比较两个时间 if time1 > time2: # print(f"{time_str1} 比 {time_str2} 新。") return "left_new" elif time1 < time2: # print(f"{time_str2} 比 {time_str1} 新。") return "right_new" else: # print("两个时间相等。") return "is_same" async def download_file(url, file_path): try: root_path, file_name = os.path.split(file_path) check_path(root_path) response = requests.get(url) _content = response.content with open(file_path, 'wb') as f: f.write(_content) print("下载成功:{}".format(file_path)) except: print("下载失败:{}".format(file_path)) def check_path(_path): if not os.path.exists(_path): # 创建多级目录 print("创建目录", _path) os.makedirs(_path, exist_ok=True) # os.mkdir(_path) return True # from module.view_control.MineQWidget import MineQWidget def list_dir(path): listdir = os.listdir(path) return natsorted(listdir, alg=ns.PATH) def get_folder(path): folder_list = [] for _file in list_dir(path): file_path = "{}/{}".format(path, _file) if os.path.isdir(file_path): folder_list.append( { "folder_path": file_path, "folder_name": _file, "root_path": path, "label": "待处理", # 是否需要继续处理 } ) return folder_list def get_images(path): _Type = [".png", ".PNG", ".jpg", ".JPG", ".gif", ".GIF", ".jpge", ".JPGE", ".CR2"] image_list = [] # 过滤非图片数据 for _file in list_dir(path): file_name, e = os.path.splitext(_file) file_path = "{}/{}".format(path, _file) if os.path.isdir(file_path): continue if e in _Type and "mask" not in file_name: image_list.append( { "file_path": file_path, "file_name": file_name, "file": _file, "root_path": path, "e": e, } ) return image_list def httpGetHandler(url, params=None, headers=None): """ 发送GET请求 :param endpoint: 请求的端点 :param params: 查询参数 :param headers: 请求头 :return: 响应对象 """ try: response = requests.get(url, params=params, headers=headers) response.raise_for_status() # 如果响应状态码不是200,抛出异常 return response except requests.exceptions.RequestException as e: print(f"GET请求失败: {e}") return None def httpPosthandler(url, data=None, json=None, headers=None): """ 发送POST请求 :param endpoint: 请求的端点 :param data: 表单数据 :param json: JSON数据 :param headers: 请求头 :return: 响应对象 """ try: response = requests.post(url, data=data, json=json, headers=headers) response.raise_for_status() # 如果响应状态码不是200,抛出异常 return response except requests.exceptions.RequestException as e: print(f"POST请求失败: {e}") return None # 指定一个列表,指定一个需要移动的数据列表,移动到指定列表中的位置 def move_elements_inplace(lst, indices, target_index, is_real_same_folder=False): """ 在原地将列表中指定位置的两个元素移动到目标位置。 :param lst: 要操作的列表 :param indices: 一个包含两个整数的元组或列表,表示要移动的元素的索引 :param target_index: 目标插入位置的索引 """ if not isinstance(indices, (list, tuple)) or len(indices) == 0: raise ValueError("Indices must be a non-empty list or tuple of integers.") # 添加到末尾 if target_index == len(lst): if is_real_same_folder: # 倒序取出所有内容,并添加到末尾 indices.sort(reverse=True) temp = [] for i in indices: temp.append(lst.pop(i)) while temp: lst.append(temp.pop(-1)) # 重新写入索引 for index, image_label in enumerate(lst): image_label.image_index = index return # 检查索引是否有效,并排序以确保按照正确的顺序处理 valid_indices = sorted(set(indices)) # 去重并排序 if not all(0 <= idx < len(lst) for idx in valid_indices): raise IndexError("One or more indices are out of range.") if not (0 <= target_index <= len(lst)): raise IndexError("Target index is out of range.") elements_to_move = [lst[idx] for idx in valid_indices] # 如果目标位置在所有待移动元素的最大索引之后,则不需要调整目标位置 max_idx = max(valid_indices) if max_idx < target_index: pass else: # 计算需要减少的位置数(因为删除元素后,后续元素会向前移动) shift_count = sum(1 for idx in valid_indices if idx < target_index) target_index -= shift_count # 移除元素(从大索引开始以避免影响小索引处的元素) for idx in reversed(valid_indices): del lst[idx] # 插入元素到目标位置,保持它们原来的相对顺序 for i, element in enumerate(elements_to_move): lst.insert(target_index + i, element) # 重新写入索引 for index, image_label in enumerate(lst): image_label.image_index = index # 给定一个图片路径,如果 是原始图下的则返回对应已扣图等信息。否则只返回基础信息 def get_cutout_image_info(source_image_path): if not os.path.exists(source_image_path): return None if os.path.isdir(source_image_path): return None data = {} source_root_path, source_file = os.path.split(source_image_path) source_file_name, source_file_extension = os.path.splitext(source_file) print("---------------source_root_path--------------------") print(source_root_path) print(source_root_path[-3:]) # if source_root_path[-3:] != "原始图": # return None data["source_image_path"] = source_image_path data["source_root_path"] = source_root_path data["source_file"] = source_file data["source_file_name"] = source_file_name data["source_file_extension"] = source_file_extension cutout_image_path = "{}/原始图_已抠图/{}.png".format( source_root_path[:-3], source_file_name ) if not os.path.exists(cutout_image_path): data["cutout_image_path"] = None return data cutout_image_root_path, cutout_image_file = os.path.split(cutout_image_path) cutout_image_file_name, cutout_image_file_extension = os.path.splitext( cutout_image_file ) data["cutout_image_path"] = cutout_image_path data["cutout_image_root_path"] = cutout_image_root_path data["cutout_image_file"] = cutout_image_file data["cutout_image_file_name"] = cutout_image_file_name data["cutout_image_file_extension"] = cutout_image_file_extension return data