I've managed to write a piece of code (composed by multiple sources along the web, and adapted to my needs) which should do the following:
The code actually works (tested with an email folder with only 9 emails). My problem is the run time.
The actual scope of the script is to look for 2539 values in a folder with 32700 emails and save the attachments.
I've done 2 runs as follow:
I would like to know / learn, if there a way to make the script faster, or if it's slow because it's bad written etc.
Below is my code:
from pathlib import Path
import win32com.client
import os
from datetime import datetime
import time
import openpyxl
#name of the folder created for output
output_dir = Path.cwd() / "Orders"
outlook = win32com.client.Dispatch("Outlook.Application").GetNamespace("MAPI")
folder = outlook.Folders.Item("Shared Mailbox Name")
inbox = folder.Folders.Item("Inbox")
messages = inbox.Items
wb = openpyxl.load_workbook(r"C:\Users\TEST\Path-to-excel\FolderName\ExcelName.xlsx")
sheet = wb['Sheet1']
names=sheet['A']
for cellObj in names:
ordno = str(cellObj.value)
print(ordno)
for message in messages:
subject = message.Subject
body = message.body
attachments = message.Attachments
if str(subject)[:9] == ordno:
output_dir.mkdir(parents=True, exist_ok=True)
for attachment in attachments:
attachment.SaveAsFile(output_dir / str(attachment))
else:
pass
start = time()
print(f'Time taken to run: {time() - start} seconds')
I need to mention that I am a complete rookie in Python thus any help from the community is welcomed, especially next to some clarifications of what I did wrong and why.
I've also read some similar questions but nothing helps, or at least I don't know how to adopt the methods.
Thank you!
Your use case is too specific for anyone to be able to recreate, and hints about performance only generic but your main problem is a combination of "O x N" and synchronous processing: currently you are processing one value, one message at a time, which includes disk IO to get the e-mail.
You can certainly improve things by creating a single list of values from the workbook. You can then use this list with a processing pool (see the Python documentation) to read multiple e-mails at once.
But things might be even better if you can use the subject to query the mail server.
If you have follow-up questions, please break them down to specific parts of the task.
First of all, instead of iterating over all items in the folder:
for message in messages:
subject = message.Subject
And then checking whether a subject starts from the specified string or includes such string:
if str(subject)[:9] == ordno:
Instead, you need to use the Find
/ FindNext
or Restrict methods of the
Items` class where you could get collection of items that correspond to your search criteria. Read more about these methods in the following articles:
For example, you could use the following restriction on the collection (taken form the VBA sample):
criteria = "@SQL=" & Chr(34) & "urn:schemas:httpmail:subject" & Chr(34) & " ci_phrasematch 'question'"
See Filtering Items Using a String Comparison for more information.
Also you may find the AdvancedSearch
method of the Application
class helpful. The key benefits of using the AdvancedSearch
method in Outlook are:
AdvancedSearch
method runs it automatically in the background.Restrict
and Find
/ FindNext
methods can be applied to a particular Items
collection (see the Items
property of the Folder
class in Outlook). IsInstantSearchEnabled
property of the Store
class).Stop
method of the Search
class.See Advanced search in Outlook programmatically: C#, VB.NET for more information on that.
Seems to me the main problem with your program is that you have two nested loop (one over the values & one over the mails) when you only need to loop over the mails and check if their subject is in the list of values.
First you need to construct your list of value with something like :
ordno_values = [str(cellObj.value) for cellObj in names]
then, in your loop over mails, you just need to adapt the condition to :
if str(subject)[:9] in ordno_values:
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.