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- 2x 2x
- 1.75x 1.75x
- 1.5x 1.5x
- 1.25x 1.25x
- 1.1x 1.1x
- 1x 1x
- 0.75x 0.75x
- 0.5x 0.5x
Clean the data imported from the CSV file for entry into the database.
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Back inside of our add_csv function,
0:00
let's create a variable
called date = clean_date,
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and we're going to need
to pass in our date,
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which if we remember I'll
scroll a little bit 0, 1, 2.
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It will be item number two in the row.
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So row 2, well, it's the third item,
I mean, but index 012.
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Cool, and we know we aren't gonna have
to do anything with title and authors.
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Let's go ahead and do this now.
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title =row[0], and
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author = row[1].
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Okay, sweet the date's all
cleaned up, onto the price.
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Let's create a function just like we
did with clean_date called clean_price.
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Same thing,
it's going to take a price string.
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And inside we need to convert the number
to a float because it has a decimal point.
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So we need to take the number,
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and let's say price_float
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= float(price_str).
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And I'm gonna print(price_float).
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And we'll see it in the console.
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So I'm gonna pop down here,
change clean data clean price and
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then copy a price from console.
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Cool, scroll back to where I was.
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And let's run it so
we see I get a number 28.84.
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So that part is working.
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Let's get back up here.
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But the next thing I'm going to do is I'm
going to turn that number into an integer,
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because we told our column,
the numbers are going to be an integer.
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So we need to convert it.
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And also because working with floats
can lead to some interesting issues
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which come up a lot when dealing
with money and currency conversions.
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I'll link some resources in the teacher's
notes if you wanna dive into this, but
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it is kind of a rabbit
hole just a heads up.
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So let's do return
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int(price_float * 100),
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so this essentially makes
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our price in cents, so
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2884 cents or $28.84.
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Little math fun, and we don't need
this print statement anymore.
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Actually, we can remove this one too,
just so we don't have extra ones.
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Yeah, there we go.
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Cool, so now we have our price and
date cleaned, let's make sure we use it.
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So inside of our add_csv,
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let's do price = clean_price(row3).
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And if you wanna check all scroll
back up 0,1, 2 and 3, perfect.
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Okay, now we can create a new book.
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We have all the information we need.
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I'm actually gonna remove this just
to clear up our console a little bit.
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And we're gonna do new_book
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= Book(title=title,
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author=author, published_date=date,
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price=price) awesome.
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Then we need to add it to session,
session.add(new_book) and
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then outside of our loop
let me make that smaller so
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l can show more of our function.
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There we go.
Outside of our loop we're going to commit.
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So session.commit.
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So, for each row in our database,
it's going to set our title, author, date,
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and price, create a new book and add it to
the session and that will loop back and
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do the next book in our row or
the next row in our database.
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And then create a book at it, and then
after all of those books are added to our
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session, then we're going to finally
commit them to the database.
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Great, let's run it in the console and
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to make sure that we are getting
all of our books, and delete that.
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Uncomment that.
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Let's loop through all of our books
to make sure they've been added
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to the database.
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for book in session.query(Book);
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print(book) okay, cool.
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Now, I'm gonna make this
almost full screen here.
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There we go.
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So we can see the entire console or
as much of the console as we can.
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And let's run the file.
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Awesome, all of our books are here,
one, two, three,
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four, five, six, seven, eight, nine, ten.
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Ten books, amazing.
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One slight problem though,
if I run the file again, now we have,
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More than ten books because
now we have duplicates.
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Back inside of our csv loop,
we can check for the book and
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make sure we only add it to the database
if it doesn't already exist.
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So we're gonna create
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a variable called book_in_db =
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session.query(book).filter(Book.title
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= = row[0]).one_or_none.
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And this is going to either return
the book if there is one or
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return none if there isn't a book.
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Then we can use that in
a conditional statement.
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So if book_in_db == None,
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and we can tab all of that over so
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that it only gets created if it doesn't
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already exist in the database.
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Save and since we already know
the database has duplicates,
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we can actually just delete it.
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And then when we run the file again It
will create the database again for us.
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And we can check.
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Yep, that looks like about ten books.
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And if I run it again,
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I should still have only about ten books.
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Awesome, no more duplicates.
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Great work Pythonistas.
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Add your changes to get git add.
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Commit them, git commit
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-m added csv to db.
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And push them.
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Amazing
8:43
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