pip install -U flask-paginate
- download app.py and index.html
python app.py
- visit http://127.0.0.1:5000/
-
-
Save mozillazg/69fb40067ae6d80386e10e105e6803c9 to your computer and use it in GitHub Desktop.
from flask import Flask, render_template | |
from flask_paginate import Pagination, get_page_args | |
app = Flask(__name__) | |
app.template_folder = '' | |
users = list(range(100)) | |
def get_users(offset=0, per_page=10): | |
return users[offset: offset + per_page] | |
@app.route('/') | |
def index(): | |
page, per_page, offset = get_page_args(page_parameter='page', | |
per_page_parameter='per_page') | |
total = len(users) | |
pagination_users = get_users(offset=offset, per_page=per_page) | |
pagination = Pagination(page=page, per_page=per_page, total=total, | |
css_framework='bootstrap4') | |
return render_template('index.html', | |
users=pagination_users, | |
page=page, | |
per_page=per_page, | |
pagination=pagination, | |
) | |
if __name__ == '__main__': | |
app.run(debug=True) |
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> | |
<title>flask-bootstrap example</title> | |
<!-- Bootstrap --> | |
<!-- Latest compiled and minified CSS --> | |
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/css/bootstrap.min.css"> | |
</head> | |
<body> | |
<div class="container"> | |
{{ pagination.links }} | |
<div class="table-responsive"> | |
<table class="table table-hover"> | |
<thead> | |
<tr> | |
<th>#</th> | |
<th>Value</th> | |
</tr> | |
</thead> | |
<tbody> | |
{% for user in users %} | |
<tr> | |
<td>{{ loop.index + (page - 1) * per_page }}</td> | |
<td>{{ user }}</td> | |
</tr> | |
{% endfor %} | |
</tbody> | |
</table> | |
</div> | |
{{ pagination.links }} | |
</div> | |
</body> | |
</html> |
Hello! This is what I was looking for! But I just have a problem, I don't want to use the get_users()
function because I already have a SQLite database in my Flask web application. Any advice on how to acheive this through my database?
EDIT: if anybody is wondering, I fixed it. This is my get_users()
function (importing sqlite3 module of course):
def get_users(page=1, total=100, per_page=5):
offset = total - ((page - 1) * per_page) + 1
con = sqlite3.connect('database.db')
cur = con.cursor()
query = '''SELECT column1, column2
FROM table
WHERE entry_id < ?
ORDER BY entry_id DESC
LIMIT ?;'''
cur.execute(query, (offset, per_page))
users = cur.fetchall()
cur.close()
con.close()
return users
And then I modified a bit the index function:
@app.route('/')
def index():
con = sqlite3.connect('database.db')
cur = con.cursor()
page, per_page, offset = get_page_args(page_parameter='page', # I don't use this offset value at all
per_page_parameter='per_page')
per_page = 5
cur.execute("SELECT COUNT(entry_id) FROM history")
total = cur.fetchone()[0]
cur.close()
con.close()
pagination_users = get_users(page=page, total=total, per_page=per_page)
pagination = Pagination(page=page, per_page=per_page, total=total)
return render_template('index.html',
users=pagination_users,
page=page,
per_page=per_page,
pagination=pagination)
Hello!
@anaveronicaaponte pointed me to the right direction since I am not using SQLalchemy for my db.
Just sqlite (like the official tutorial).
The only problem I had with the above solution was that the results of the first page weren't visible. I fixed this issue by using the offset
value from the get_page_args
function inside the query of the get_users
function, instead of the calculation :
offset = total - ((page - 1) * per_page) + 1
Dear: the correct way to solve this is like this, it is not necessary to modify anything, I leave the solution in case anyone is interested.
Originally:
page, per_page, offset = get_page_args(page_parameter='page',per_page_parameter='per_page')
Correct:
page, per_page, offset = get_page_args(page_parameter='page',per_page_parameter='per_page',per_page='5')
Best regards
thanks @gmanoukian
For anyone else struggling to get dataframe + pagination working, this method works - https://www.thepythoncode.com/article/convert-pandas-dataframe-to-html-table-python. Thanks.
Hi,
Thanks for such a wonderful presentation of pagination with flask. I am extracting data from Mongodb with post requests and implementing paginiation. It is showing first page (per_page) list on the webpage but not allowing me to make get requests to call the second and third page. If I bypass post request, I am not able to get data from forms. Any idea of handling pagination in this situation?