from config import load_service_config from io import BytesIO import os import pandas as pd import requests class FileStreamUtils: cfgs = load_service_config() upload_url = cfgs["aliyun"]["upload_url"] download_url = cfgs["aliyun"]["download_url"] # cookies = cfgs["aliyun"]['cookies'] # 设置请求头 headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36", "Accept": "*/*", } @staticmethod def upload_files(reports_dir, files): files_id = {} for filename in files: file_path = os.path.join(reports_dir, f'{filename}.xlsx') try: with open(file_path, 'rb') as f: files = {'file': (os.path.basename(file_path), f)} response = requests.post( FileStreamUtils.upload_url, headers=FileStreamUtils.headers, files=files, # cookies=FileStreamUtils.cookies, verify=True ) if response.json()["success"]: file_id = response.json()["data"]["file_info"]["fileid"] files_id[filename] = file_id except requests.exceptions.RequestException as e: print("请求出错:", e) return None except Exception as e: return None return files_id @staticmethod def download_file(file_id, file_type='xlsx'): """通过file_id从阿里云文件数据库下载文件""" try: # params = { # 'fileid': file_id, # 'action': 'download' # } response = requests.get( f"{FileStreamUtils.download_url}/{file_id}", headers=FileStreamUtils.headers, # cookies=FileStreamUtils.cookies, # params=params, verify=True ) if response.status_code == 200: file_content = BytesIO(response.content) if file_type == 'xlsx': data = pd.read_excel(file_content, engine='openpyxl') elif file_type == 'csv': data = pd.read_csv(file_content) else: raise ValueError(f"不支持的文件类型:{file_type}" ) return data else: return None except requests.exceptions.RequestException as e: print("Request Error: ", e) return None except Exception as e: print("File download Error: ", e) return None if __name__ == '__main__': # print(FileStreamUtils.cfgs["aliyun"]["cookies"]) file_id = '11C1AC088863421C9BC32A5E722F5147' data = FileStreamUtils.download_file(file_id) data.to_excel('./recommend_list.xlsx', index=False)