解析excel文件中的数据并使用python脚本发送日历邀请答案

【问题标题】：Parsing the data from excel file and send calendar invite using python script解析excel文件中的数据并使用python脚本发送日历邀请
【发布时间】：2019-01-31 17:07:43
【问题描述】：

我有一个包含以下数据的输入 excel 文件：

Server Name Event   Deploy Dist Type    Engineer    CR Number   Env Deployment Status   Date (IT)   Start (IT)  End (IT)    Primary Application
A   X   X   X   X   X   X   1/11/2019   8:30    12:30   X
B   X   X   X   X   X   X   1/11/2019   8:30    12:30   X
C   X   X   X   X   X   X   1/13/2019   8:30    12:30   X
D   X   X   X   X   X   X   1/13/2019   8:30    15:30   X

我需要发送如下日历邀请（Groupby with dates）

1.日期，开始时间（[start{IT]]列中的较小值），结束时间（第（End（IT）列中的较大值））

下面应该打印在日历邀请正文中

Server Name Event   Deploy Dist Type    Engineer    CR Number   Env Deployment Status   Date (IT)   Start (IT)  End (IT)    Primary Application
A   X   X   X   X   X   X   1/11/2019   8:30    12:30   X
B   X   X   X   X   X   X   1/11/2019   8:30    12:30   X

2.同1

Server Name Event   Deploy Dist Type    Engineer    CR Number   Env Deployment Status   Date (IT)   Start (IT)  End (IT)    Primary Application
C   X   X   X   X   X   X   1/13/2019   8:30    12:30   X
D   X   X   X   X   X   X   1/13/2019   8:30    15:30   X

我得到了发送日历邀请的代码，但不确定如何解析上述输入并根据输入文件中的日期发送多个邀请

import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email.mime.text import MIMEText
from email.utils import COMMASPACE, formatdate
from email import encoders
from tabulate import tabulate
import os, datetime
import csv
import pandas

#path_to_file = "C:\Users\kj\Desktop\Jan\sample.csv"
path_to_file = "C:/Users/kj/Desktop/Jan/sample_upd.csv"
output_to_file= "C:/Users/kj/Desktop/Jan/output.csv"
df = pandas.read_csv(path_to_file)
grouped = df.groupby('Date (IT)')
text = """
"""

html = """
<html><body><p></p>
<p></p>
{table}
<p></p>
<p></p>
</body></html>
"""
for name, group in grouped:
    dates_grp = name
    group.to_csv(output_to_file)

    CRLF = "\r\n"
    attendees = ["test@test.com"]
    organizer = "ORGANIZER;CN=organiser:mailto:test@test.com"
    fro = "test@test.com <test@test.com>"

    ddtstart = datetime.datetime.now()
    dtoff = datetime.timedelta(days=1)
    dur = datetime.timedelta(hours=1)
    ddtstart = ddtstart + dtoff
    dtend = ddtstart + dur
    dtstamp = datetime.datetime.now().strftime("%Y%m%dT%H%M%SZ")
    dtstart = ddtstart.strftime("%Y%m%dT%H%M%SZ")
    dtend = dtend.strftime("%Y%m%dT%H%M%SZ")

    description = "DESCRIPTION: OS PATCHING" + CRLF
    attendee = ""
    for att in attendees:
        attendee += "ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-    PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE" + CRLF + " ;CN=" + att + ";X-NUM-GUESTS=0:" + CRLF + " mailto:" + att + CRLF
    ical = "BEGIN:VCALENDAR" + CRLF + "PRODID:pyICSParser" + CRLF + "VERSION:2.0" + CRLF + "CALSCALE:GREGORIAN" + CRLF
    ical += "METHOD:REQUEST" + CRLF + "BEGIN:VEVENT" + CRLF + "DTSTART:" + dtstart + CRLF + "DTEND:" + dtend + CRLF + "DTSTAMP:" + dtstamp + CRLF + organizer + CRLF
    ical += "UID:FIXMEUID" + dtstamp + CRLF
    ical += attendee + "CREATED:" + dtstamp + CRLF + description + "LAST-MODIFIED:" + dtstamp + CRLF + "LOCATION:" + CRLF + "SEQUENCE:0" + CRLF + "STATUS:CONFIRMED" + CRLF
    ical += "SUMMARY:test " + ddtstart.strftime(
        "%Y%m%d @ %H:%M") + CRLF + "TRANSP:OPAQUE" + CRLF + "END:VEVENT" + CRLF + "END:VCALENDAR" + CRLF

    with open(output_to_file) as csvfile:
        reader = csv.reader(csvfile)
        eml_body = list(reader)
    text = text.format(table=tabulate(eml_body, headers="firstrow", tablefmt="grid"))
    html = html.format(table=tabulate(eml_body, headers="firstrow", tablefmt="html"))
    eml_body_bin = "This is the email body in binary - two steps"
    msg = MIMEMultipart('mixed')
    msg['Reply-To'] = fro
    msg['Date'] = formatdate(localtime=True)
    msg['Subject'] = "pyICSParser invite" + dtstart
    msg['From'] = fro
    msg['To'] = ",".join(attendees)

    #part_email = MIMEText(eml_body, "html")
    part_cal = MIMEText(ical, 'calendar;method=REQUEST')

    #msgAlternative = MIMEMultipart('alternative')
    msgAlternative = MIMEMultipart("alternative", None, [MIMEText(text), MIMEText(html, 'html')])
    msg.attach(msgAlternative)

    ical_atch = MIMEBase('application/ics', ' ;name="%s"' % ("invite.ics"))
    ical_atch.set_payload(ical)
    encoders.encode_base64(ical_atch)
    ical_atch.add_header('Content-Disposition', 'attachment; filename="%s"' % ("invite.ics"))

    eml_atch = MIMEBase('text/plain', ' ')
    # encoders.encode_base64(eml_atch)
    encoders.encode_7or8bit(eml_atch)
    eml_atch.add_header('Content-Transfer-Encoding', "")

    #msgAlternative.attach(part_email)
    msgAlternative.attach(part_cal)

    mailServer = smtplib.SMTP('test.test.com')
    # mailServer = smtplib.SMTP('MSGEXSV2D3906',25)
    # mailServer = smtplib.SMTP(s)
    mailServer.ehlo()
    # mailServer.starttls()
    mailServer.ehlo()
    # mailServer.login(login, password)
    mailServer.sendmail(fro, attendees, msg.as_string())
    mailServer.close()
    break

【问题讨论】：

更新了代码，现在我可以使用分组数据发送邀请了。但是在从 groupy 的输出中解析日期和时间时需要帮助。请问有什么建议吗？
你想到这个how-to-get-values-from-a-cell-of-a-groupby-object
谢谢，它帮助我完成了脚本......

标签： python

【解决方案1】：

问题：解析excel文件中的数据并发送日历邀请

您必须使用function 或class 模块化为以下内容：

模块数据
- 对 Excel 数据进行分组
- 逐行解析数据
模块 ICAL
- 从 Excel 行数据创建 ICAL 记录
模块邮件
- 使用ICAL 记录准备邮件
- 发送邮件

实现——1.模块数据

Reading an Excel file using pandas

import pandas
df = pandas.read_excel(open('your_xls_xlsx_filename','rb'), sheetname='Sheet 1')

Loop over grouped Pandas dataframe?

grouped = df.groupby('Date (IT)')

for name, group in grouped:
    ...

【讨论】：

我被困在“从 excel 文件中获取输入并进一步处理”
更新了代码，现在我可以使用分组数据发送邀请了。但是在从 groupy 的输出中解析日期和时间时需要帮助。请问有什么建议吗？