I have a ErrorLog text file that contains:
\qwerx.com\groups\sales\cilmate and reporting\king\ Nine motoring\Retat\ [Shop,Retain,ID=35645]
. Unable to access directory
\susdusd.dat\sdjksdsd\sdjksdk\cnxmcm \dsjsdh\jsdjhjhsd \djhjd [shat,source,ID=67584]
.acuratls_bus_8899.Dat - not yet delivered .4563738 mins old
Like wise ErrorLog text file will have Exceptions 30 to 50 lines, using HTML I create the email body & subject .This ErrorLog will be my content for the email .
I would like to write a python script that
1)split the ID with the protocols used as column one
2)\path column as column two
3)next line Issue as column three (eg:unable to access directory)
I would appreciate any suggestions on the easiest way to accomplish this using python
Related
I need to create a python script, which can read 1 hour before and current time data from the log file. And after that I have to search for the matching string and send a mail based on them.
No Idea , Help needed
I created a logic app to export some data to a *.csv file.
Data which will be exported contains german umlauts.
I read all the needed values into variables which are then concatenated and added to an array.
Finally I get an array of semicolon separated strings with the values in it.
This result will then be added to an email as file attachment:
All the values are handled correctly in the Logic App and are correct in the *.csv file but as soon I open the csv with Excel, the umlauts are not shown correctly anymore.
Is there a way to create explicitly a file with the correct encoding within the logic app and add the file to the email instead of the ExportString?
Or can I somehow encode the content of the ExportString-Variable?
Any hints?
I have reproduced in my environment and followed below steps to get correct output in CSV file:
My input is:
I have sent the data into CSV table as below and then created a file in file share as below:
Then when i open my file share and download the content from there i got different output as you got:
Then I opened my Azure Storage explorer and downloaded it as below:
When i open in notepad the downloaded file:
I get the correct output, try to do in this way
And when i save it as hello.csv and keep utf-8 with bom like below:
Then I get the correct output in csv as well:
I frequent a real estate website that shows recent transactions, from which I will download data to parse within a Pandas dataframe. Everything about this dataset remains identical every time I download it (regarding the column names, that is).
The name of the Excel output may change, though. For example, if I already have download a few of these in my Downloads folder, the file that's exported may read "Generic_File_(3)" or "Generic_File_(21)" if I already have a few older "Generic_File" exports in that folder from a previous export.
Ideally, I'd like my workflow to look like this: export this Excel file of real estate sales, then run a Python script to read in the most recent export as a Pandas dataframe. The catch is, I don't want to have to go in and change the filename in the script to match the appending number of the Excel export everytime. I want the pd.read_excel method to simply read the "Generic_File" that is appended with the largest number (which will obviously correspond to the most rent export).
I suppose I could always just delete old exports out of my Downloads folder so the newest, freshest export is always named the same ("Generic_File", in this case), but I'm looking for a way to ensure I don't have to do this. Are wildcards the best path forward, or is there some other method to always read in the most recently downloaded Excel file from my Downloads folder?
I would use the OS package and create a method to read to file names in the downloads folder. Parsing string filenames you could then find the file following your specified format with the highest copy number. Something like the following might help you get started.
import os
downloads = os.listdir('C:/Users/[username here]/Downloads/')
is_file = [True if '.' in item else False for item in downloads]
files = [item for keep, item in zip(is_file, downloads) if keep]
** INSERT CODE HERE TO IDENTIFY THE FILE OF INTEREST **
Regex might be the best way to find matches if you have a diverse listing of files in your downloads folder.
I have a simple program that manipulates some stored data on some text files. However I have to store the name and the password on different files for python to read.
I was wondering if I could get these two words (The name and the password) on two separate lines on one file and get python to overwrite just one of the lines based on what I choose to overwrite (either the password or the name).
I can get python to read specific lines with:
linenumber=linecache.getline("example.txt",4)
Ideally id like something like this:
linenumber=linecache.writeline("example.txt","Hello",4)
So this would just write "Hello" in "example.txt" only on line 4.
But unfortunately it doesn't seem to be as simple as that, I can get the words to be stored on separate files but overall doing this on a larger scale, I'm going to have a lot of text files all named differently and with different words on them.
If anyone would be able to help, it would be much appreciated!
Thanks, James.
You can try with built in open() function:
def overwrite(filename,newline,linenumber):
try:
with open(filename,'r') as reading:
lines = reading.readlines()
lines[linenumber]=newline+'\n'
with open(filename,'w') as writing:
for i in lines:
writing.write(i)
return 0
except:
return 1 #when reading/writing gone wrong, eg. no such a file
Be careful! It is writing all the lines all over again in a loop and when it comes to exception example.txt may already be blank. You may want to store all the lines in list all the time to write them back to file in exception. Or keep backup of your old files.
I am totally new to Stata and am wondering how to import .xlsx data in Stata. Let's say the data is in the subdirectory Data and has name "a b c.xlsx". So, from working directory, the data is in /Data
I am trying to do
import excel using "\Data\a b c.xlsx", sheet("a")
but it's not working
it's not working
is anything but a useful error report. For future questions, please report the exact error given by Stata.
Let's say the file is in the directory /home/roberto then
clear
set more off
import excel using "/home/roberto/a b c.xlsx"
list
should work.
If you are already in /home/roberto (which you can verify using display c(pwd)), then
import excel using "a b c.xlsx"
should work.
Using backslashes to refer to directories is not encouraged. See Stata tip 65: Beware the backstabbing backslash, by Nick Cox.
See also help cd.