On 1/30/2024 11:25 PM, avi.e.gr...@gmail.com wrote:
Thomas, on some points we may see it differently.

I'm mostly going by what the OP originally asked for back on Jan 11. He's been too stingy with information since then to be worth spending much time on, IMHO.

Some formats can be done simply but are maybe better done in somewhat
standard ways.

Some of what the OP has is already tables in a database and that can
trivially be exported into a CSV file or other formats like your TSV file
and more. They can also import from there. As I mentioned, many spreadsheets
and all kinds of statistical programs tend to support some formats making it
quite flexible.

Python has all kinds of functionality, such as in the pandas module, to read
in a CSV or write it out. And once you have the data structure in memory, al
kinds of queries and changes can be made fairly straightforwardly. As one
example, Rich has mentioned wanting finer control in selecting who gets some
version of the email based on concepts like market segmentation. He already
may have info like the STATE (as in Arizona) in his database. He might at
some point enlarge his schema so each entry is placed in one or more
categories and thus his CSV, once imported, can do the usual tasks of
selecting various rows and columns or doing joins or whatever.

Mind you, another architecture could place quite a bit of work completely on
the back end and he could send SQL queries to the database from python and
get back his results into python which would then make the email messages
and pass them on to other functionality to deliver. This would remove any
need for files and just rely on the DB.

There as as usual, too many choices and not necessarily one best answer. Of
course if this was a major product that would be heavily used, sure, you
could tweak and optimize. As it is, Rich is getting a chance to improve his
python skills no matter which way he goes.

-----Original Message-----
From: Python-list <python-list-bounces+avi.e.gross=gmail....@python.org> On
Behalf Of Thomas Passin via Python-list
Sent: Tuesday, January 30, 2024 10:37 PM
To: python-list@python.org
Subject: Re: Extract lines from file, add to new files

On 1/30/2024 12:21 PM, Rich Shepard via Python-list wrote:
On Tue, 30 Jan 2024, Thomas Passin via Python-list wrote:

Fine, my toy example will still be applicable. But, you know, you haven't
told us enough to give you help. Do you want to replace text from values
in a file? That's been covered. Do you want to send the messages using
those libraries? You haven't said what you don't know how to do.
else? What is it that you want to do that you don't know how?


For 30 years I've used a bash script using mailx to send messages to a
of recipients. They have no salutation to personalize each one. Since I
to add that personalized salutation I decided to write a python script to
replace the bash script.

I have collected 11 docs explaining the smtplib and email modules and
providing example scripts to apply them to send multiple individual
with salutations and attachments.

If I had a script that's been working for 30 years, I'd probably just
use Python to do the personalizing and let the rest of the bash script
do the rest, like it always has.  The Python program would pipe or send
the personalized messages to the rest of the bash program. Something in
that ballpark, anyway.

Today I'm going to be reading these. They each recommend using .csv input
files for names and addresses. My first search is learning whether I can
write a single .csv file such as:
which I believe will work; and by inserting at the top of the message
Hi, {yourname}
the name in the .csv file will replace the bracketed place holder
If the file contents are going to be people's names and email addresses,
I would just tab separate them and split each line on the tab.  Names
aren't going to include tabs so that would be safe.  Email addresses
might theoretically include a tab inside a quoted name but that would be
extremely obscure and unlikely.  No need for CSV, it would just add

data = f.readlines()
for d in data:
      name, addr = line.split('\t') if line.strip() else ('', '')

Still much to learn and the batch of downloaded PDF files should educate




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