We might need to generate a receipt or a report in PDF format in Django app. In this article, we will see how to generate a dynamic PDF from html content and return it as a response.
Create a Django project. If you are not using virtual environment, we strongly recommend to do so.
Once virtual environment is ready and activated, install the below dependencies.
pdfkit to work, we need
wkhtmltopdf installed in our Linux system.
sudo apt-get install wkhtmltopdf
Continue reading “Generating and Returning PDF as response in Django”
Sometimes we need to know who made what changes to which table. This might be required for legal audit purpose or for simple organisational level logging.
There are multiple Django apps available online which can help you log the model changes but there is no fun in doing that. We will see how to do it without using ready-made app and hence will learn something in the process.
Signals lets a sender notify another receiver that some event have occurred and some action needs to be performed.
For example, we have some data in cache as well in DB. We read data from cache and if not found then goes to DB as fallback. Now whenever a DB is updated, we need to update the cache as well. But we might update the model from multiple views. Hence it is tough and not clean to write cache update logic in every such view. Signals comes into picture now.
Continue reading “Using signals in Django to log changes in models”
I created a small script to download all pictures of an Instagram user without using APIs as APIs poses few limitations like rate limit.
After few rounds of tweaking, optimisation and beautifying code, I though of creating a python package out of it. If you want to know how to create a distributable python package, this article will be extremely helpful as steps are discussed in great detail.
You can find the
py_instagram_dl package listed on pypi.
link is – https://pypi.python.org/pypi/py-instagram-dl.
How to download all pictures of an Instagram user:
- Create a virtual environment. Optional but strongly recommended. You may follow this simple and step by step pocket guide on Python Virtual Environment.
- Install dependencies. This package instead few other python packages to work.
pip install beautifulsoup4 bs4 lxml requests urllib3
- Now install this package.
pip install py_instagram_dl
- Use the installed package in your code.
import py_instagram_dl as pyigdl
# run script by providing username as command line argument
# usage : python script_name.py username
except Exception as e:
method have one mandatory and two optional parameters as of now.
Parameter 1: Valid username of Instagram user.
verbose : default value – True (boolean) : Decides whether information should be printed on screen. Recommended to have it set to True so that in case of large number of downloads you can make sure script is working and is not just freezed.
wait_between_requests : default value – 0 (integer) : This is the time in seconds for which scripts waits to send new hit to download the picture to Instagram. It is recommended to pass a positive value for this parameter. If you are getting rate limit exceptions after downloading few pictures, pass 1 in this parameter, i.e. wait for 1 second between each request.
InvalidUsernameException: When a non existent username is provided.
RateLimitException: When rate limit is reached. Use parameter
wait_between_requests to avoid this.
Some application admins need to know which user performed what action in the application. We also felt the need of such tracking hence we started developing the access log system for our application.
In this article we will see how to develop the server access logging app for Django project.
We will be storing below information:
- URL/link visited.
- Request method, get or post.
- Get or Post Data
- IP address of visitor
- Session ID
Continue reading “Server Access Logging in Django using middleware”
Everybody is investing in bitcoins. James Howells is trying to dig a landfill site to get 7500 bitcoins that were dumped there in 2013.
To be a good investor, it is necessary that you keep track of ups and downs in the market. There are multiple platforms where you can track the price of bitcoin. But for a python programmer that is no fun. Being a python programmer we will develop our own project where we can get latest bitcoin and other crypto-currency prices.
Continue reading “Get latest Bitcoin and other crypto-currencies rates using python Django”
In software engineering, don’t repeat yourself (DRY) is a principle of software development aimed at reducing repetition of code. All the installed packages and apps we use in our Python/Django projects are great example of DRY concept.
In this article we will learn:
– How to create custom middleware in Django project.
– How to create reusable Django App / Python Package to block the IPs.
– How to upload the python package on pypi and djangopackages.org.
Code of the developed Django app in article is hosted on Github. Package is available on pypi and djangopackages.
Continue reading “How to develop a distributable Django app to block the crawling IP addresses”
You can host your Django app effortlessly on PythonAnyWhere server. If you are using the database in your app then it is strongly recommended to take backup of database to avoid loss of data.
This PythonAnyWhere article explain the process to take sql dump. We will extend the same article to take database backup periodically and delete the old files.
Continue reading “How to backup database periodically on PythonAnyWhere server”
In previous article we learned how to install Elasticsearch and Kibana and connect them together. In second part of the same article we used Elasticsearch in Django project.
Elasticsearch can be used with relational database or non-relational database. In those articles we used relational database MySQL.
In this article we will see how to use MongoDB in Django application.
I use PythonAnyWhere to host Django application quickly. Read here how to host your Django app on PythonAnyWhere for free.
Continue reading “Using MongoDB in Django Application”
In this article we will see how to implement fast text search using elastic search instead of using MySQL or PostgreSQL.
– Ubuntu 16.04
– Python 3.5, Django 1.10
– Elastic Search v6.0.0
– Kibana v6.0.0
As per Wikipedia:
Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
ElasticSearch indexes documents for your data instead of using data tables like a regular relational database does.
There are two client libraries to interact with ElasticSearch with Python.
In previous part, we installed Elasticsearch and Kibana. Now we will create a Django project and will link the elastic search with the project.
You can follow the official Django tutorials to create and start a Django project. Or you follow below steps. We will be following the official documentation, but only the necessary steps.
– Make sure python 3 is installed on your machine. Although not mandatory but it is recommended to use virtual environment.
– Install Django. Setup a database. We will be using MySQL.
– Create a project.
$ django-admin startproject elasticsearchdjango
– Change directory to elasticsearch. Create a new app ‘poll’.
$ python manage.py startapp polls
– If you are using virtual environment than install the dependencies using
pip install -r req.txt file after saving below lines in
– Create a model in polls/models.py file.
from django.db import models
author = models.CharField(max_length=100)
question_text = models.CharField(max_length=1000)
pub_date = models.DateTimeField('date published')
Continue reading “Elastic Search with Kibana and Django – part 2”