应用错误收集

我已将文件托管在远程flask服务器上。使用以下命令启动服务器： from bs4 import BeautifulSoup from html2text import HTML2Text import pandas as pd import easyimap import getpass import email import base64 import os import email import mimetypes from datetime import datetime from email.utils import parsedate_to_datetime def to_text(html, rehtml=False): parser = HTML2Text() parser.wrap_links = False parser.skip_internal_links = True parser.inline_links = True parser.ignore_anchors = True parser.ignore_images = True parser.ignore_emphasis = True parser.ignore_links = True text = parser.handle(html) text = text.strip(' \t\n\r') if rehtml: text = text.replace('\n', '<br/>') text = text.replace('\\', '') return text imap_password = getpass.getpass() user = 'email@email.com' host = 'outlook.office365.com' password = imap_password #' folders = ('"INBOX/Americas/Not Raised"', '"INBOX/Americas/Raised"', '"INBOX/APAC/Not Raised"', '"INBOX/APAC/Raised"', '"INBOX/Consolidated/Not Raised"', '"INBOX/Consolidated/Raised"', '"INBOX/EMEA"', '"INBOX/EMEA/Not Raised"', '"INBOX/EMEA/Raised"') df = pd.DataFrame(columns=['Subject','Sender','From','To','Body','References','content_type', 'local_date_time', 'Classification', 'in_reply_to','return_path', 'mime_version', 'message_id', 'folder_name']) for mailbox in folders: #Connect to mailbox read_only = True to ensure the mail is not marked as read. imapper = easyimap.connect(host, user, password, mailbox,read_only=True) #fetch each mail up to limit and return email data and add to a dataframe for mail_id in imapper.listids(limit=5000): try: mail = imapper.mail(mail_id, include_raw=True) #convert body to text using to_text function and add to dataframe df.loc[mail_id, ['Body']] = to_text(mail.body, rehtml=False) #return mail features to dataframe df.loc[mail_id, ['Subject']] = mail.title df.loc[mail_id, ['Sender']] = mail.sender df.loc [mail_id, ['From']] = mail.from_addr df.loc [mail_id, ['To']] = mail.to df.loc [mail_id, ['References']] = mail.references df.loc [mail_id, ['content_type']] = mail.content_type #converting the date to datetime and taking account of time difference changes date_= mail.date df.loc [mail_id, ['local_date_time']] = datetime.fromtimestamp(parsedate_to_datetime(date_).timestamp()).strftime('%Y-%m-%d %H:%M:%S') #parsing the keyword data from the raw mail data to provide the classification raw_data = mail.raw email_message = email.message_from_bytes(raw_data) df.loc [mail_id, ['Classification']] = email_message['Keywords'] df.loc [mail_id, ['in_reply_to']] = mail.in_reply_to df.loc [mail_id, ['return_path']] = mail.return_path df.loc [mail_id, ['mime_version']] = mail.mime_version df.loc [mail_id, ['message_id']] = mail.message_id df.loc [mail_id, ['folder_name']] = mailbox except: #if error print email to file counter = 1 for part in email_message.walk(): if part.get_content_maintype() == "multipart": continue filename = part.get_filename() content_type = part.get_content_type() if not filename: ext = mimetypes.guess_extension(content_type) if not ext: ext = '.bin' if 'text' in content_type: ext = '.txt' elif 'html' in content_type: ext = '.html' filename = 'msg-part-%08d%s' %(counter, ext) counter += 1 #save file date_ = datetime.fromtimestamp(parsedate_to_datetime(date_).timestamp()).strftime('%Y-%m-%d %H:%M:%S') save_path = os.path.join(os.getcwd(), "emails", date_, mail.title) if not os.path.exists(save_path): os.makedirs(save_path) with open(os.path.join(save_path, filename), 'wb') as fp: fp.write(part.get_payload(decode=True)) counter += 1

在应用内的python代码中， flask run --host= ...

服务器启动时没有任何问题，但是我无法远程访问该页面。

我也检查了端口。没问题。

无法访问服务器上的页面

1 个答案: