Number of visitors in Django - python

In Django, how can I see the number of current visitors? Or how do I determine the number of active sessions?
Is this a good method?
use django.contrib.sessions.models.Session, set the expiry time short. Every time when somebody does something on the site, update expiry time. Then count the number of sessions that are not expired.

You might want to look into something like django-tracking for this.
django-tracking is a simple attempt at
keeping track of visitors to
Django-powered Web sites. It also
offers basic blacklisting
capabilities.
Edit: As for your updated question... [Answer redacted after being corrected by muhuk]
Alternatively, I liked the response to this question: How do I find out total number of sessions created i.e. number of logged in users?
You might want to try that instead.

django-tracking2
can be helpful to track the visitors.
As specially this is easy to configure in the deployment like AWS, because it is not required any dependency and environment variables.
django-tracking2 tracks the length of time visitors and registered users spend on your site. Although this will work for websites, this is more applicable to web applications with registered users. This does not replace (nor intend) to replace client-side analytics which is great for understanding aggregate flow of page views.

There is also a little application django-visits to track visits https://bitbucket.org/jespino/django-visits

Edit: Added some more information about why I present this answer here. I found chartbeat when I tried to answer this same question for my django based site. I don't work for them.
Not specifically Django, but chartbeat.com is very interesting to add to a website as well.
django-tracking is great, +1 for that answer, etc.
Couple of things I could not do with django-tracking, that chartbeat helped with; tracked interactions with completely cached pages which never hit the django tracking code and pages not delivered through django (e.g. wordpress, etc.)

Related

Is there a way to automatically generate a whole system for different users [duplicate]

I have developed Multi-tenant SAAS apps in PHP/Laravel but recently I had a challenge to develop one in Django/Python. I am still learning Django though and I really like Django rest framework (DRF). But I have difficulties to figure out the highlighted areas below, If someone shows some light, I will be good to go:
How to handle subdomains/domains and selecting the right tenant db
How to manage and dynamically handle different database in django
Can multi-tenant apps backend still be managed from Django admin interface
I will be using queues and other apps scalling techniques, need tips and tricks if any
Any example out there
Any challenge experience when developing SAAS through Django
Well...
django-subdomains
There are people who asked in SO questions about dynamic databases in django (including, ahem... me). I'm not entirely sure I understood what you mean by "dynamically handle different database" so I guess just go to the links I just mentioned and pick out the best one for your project. (also - perhaps this is more relevant?)
Check out django-multitenant-schemas and this answer too.
There was a video of the guys behind Disqus (one of the largest django app in the world) explaining how they handle scaling. Here another interesting article on the subject. Also, the legendary SO question Does Django Scale.
(and 6.) Check out this answer
I hope that's detailed enough. I know this might be a disappointing only-links answer, but this is the reality of it - Django is a newer framework, and web development with python is still less common than php. With that in mind, understand that for all the awesomness of django (and it is awesome), with more complex needs there's more you'll have to do yourself.
In this case, you'll have to figure out how to do each part of the way seperatly and then combine it all. You can easily find a way to create a REST django app for example, but then you'll need to figure out how to combine it with another package (such as the above subdomains).
You can find a million examples out there of people doing freaky things with django. It's really powerful (when I learned about dynamic models I was blown away). But the more complex your app, the more you'll need to do yourself.
Pick it up, one step at a time, and come back to SO with specific issues you're having (or the django users google group). Good luck!

How to build a real time recommendation engine with good performance?

I am a data analyst and just assigned to build a real time recommendation engine for our website.
I need to analyse the visitor behavior and do real time analysis for those input. Thus I have three questions about this project.
1) Users are not forced to sign-up. Is there any methodology to capture user behavior such as search and visit history?
2) The recommendation models can be pre-trained but the prediction process takes time. How can we improve the performance?
3) I only know how to write Python Scripts. How can I implement the recommendation engine with my python scripts?
Thanks.
===============
However, 90% of our customers purchase the products during their first visit and will not come back shortly.
We cannot make a ready model for new visitors.
And they prefer to use itemCF for the recommendation engine.
It sounds like a mission impossible now...
This is quite a broad question however I will do my best to answer:
Visit history can be tracked by enabling some form of analytics tracking on your domain. This can either be a pre-built solution that you implement and will provide a detailed overview of all visitors to your domain, usually with some form of dashboard. Most pre-built solutions provide a way to obtain the analytics that have been collected.
Another way would be to use browser cookies to store information pertaining to each visit to your domain and their search/page history. This information will be available to the website whenever the user visits it within the same browser. When the user visits your website, you could send the information to a server/rest endpoint which could analyse information (I.P/geolocation/number of visits/search/page history) and make recommendation based on that. Another common method is to track past purchases ect.
To improve performance one solution would be to always have the prediction model for a particular user ready for when they next visit the site. That way, there is no delay. However, the first time a user visits you likely wont have enough information to make detailed predictions so you will have to resort to providing options based on geolocation (which shouldn't take to long and wont impact performance)
There is another approach that can be taken and above mainly talked about making predictions based on a users behavior browsing the website. Content-based filtering is another approach which will recommend things that are similar to a item that the user is currently viewing. This approach is generally easier, as it just requires that you query a database for items that are similar in category, purpose/use ect.
There is no getting around using javascript for the client side stuff, however your recommendation engine can be built in Python (it could be a simple REST api endpoint with access to the items database). Most people use flask,django or eve to implement REST API's in Python.

Designing a Django voting system without using accounts

We are considering implementing a voting system (up, down votes) without using any type of credentials--no app accounts nor OpenID or anything of that sort.
Concerns in order:
Prevent robot votes
Allow individuals under a NAT to vote without overriding/invalidating someone else's vote
Preventing (or, at the very least making very difficult for) users to vote more than once
My questions:
If you've implemented something similar, any tips?
Any concerns that perhaps I'm overlooking?
Any tools that I should perhaps look into?
If you have any questions that would help for you in forming an answer to any of these questions, please ask in the comments!
To address your concerns:
1: a simple Captcha would probably do the trick, if you google "django captcha", there are a bunch of plugins. I've never used them myself, so I can't say which is the best.
2 & 3: Using Django's sessions addresses both of these problems - with it you could save a cookie on the user's browser to indicate that the person has already voted. This obviously allows people to vote via different browsers or by clearing their cache, so it depends on how important it is that people not be allowed to vote twice. I would imagine that only a small percentage of people would actually think to try clearing their cache, though. As far as I know the only other way to limit users without a sign-in process would be to test IP addresses, but that would violate your second criteria since people on the same network will show up as having the same IP address.
If you don't want multiple votes to be as simple as deleting browser cookies, you could also allow facebook or twitter login - the django-socialregistration plugin is pretty well documented and straightforward to implement.
Hope that helps!
Recaptcha is an excellent choice. For Django, here's the one that I've had the most success with, which actually uses images loaded from Recaptcha (as opposed to local images generated on the fly):
http://pypi.python.org/pypi/recaptcha-client#downloads
Instructions for installation are in this snippet:
http://djangosnippets.org/snippets/433/
If Recaptcha is a bit unwieldy for what you're doing, I've heard of people implementing a form that loads with a hidden input containing a timestamp value, corresponding to when the form was loaded. Then, when the form is submitted, generate a new timestamp and get the difference between the two. If the difference in seconds is below a certain threshold that's unreasonable for a human visitor, chances are you have a bot. This works for contact forms with several fields...it usually takes a person more than 10 seconds to fill them out.
I can't speak to how effective this technique actually is in production....a lot of these spam bots these days are smarter than I am. But it might be something you'd consider looking into or testing.

Using ip address to track visitors, is there a better way? (using Flask micro-framework)

I am going to use Flask micro-framework (based on Werkzeug, and I'll be using Python 2.7 or 2.6) to make a games website.
I want to allow users to vote (simple 1-5 stars) on games, and also to track how many unique visits there have been to each game page - such that I can dynamically order links to the games based on their score/popularity.
Currently I plan on using the client's remote address (via this attribute: http://werkzeug.pocoo.org/documentation/dev/wrappers.html#werkzeug.BaseRequest.remote_addr) to test for uniqueness, by storing all the ip-addresses that have voted for/visited a game so they cannot vote again, and their visit only gets recorded once.
For the voting: it is important that users don't have to login.
Is this a good way to go about this, what are it's advantages/disadvantages?
Or can you think of a better solution? Are there ways built into the framework to handle these tasks you know of?
Thank you very much for your help, it is very much appreciated :-)
Jonathan
In my opinion using the IP address isn't the correct approach.
Many colleges, campuses, hotels, dorms, and offices use a single or small block IP range. This means that only a single person in one of those environments can vote. So if you have a dorm building with 3,000 kids in it who are all behind a single IP via NAT, only one lucky person gets to vote.
IP Addresses change. Any person that insists on voting more than once can usually power cycle their equipment or go into the management for their router and lease a different IP.
If not logging in is required, I would suggest cookies. Yes - cookies can be cleared, but there are other more permanent ways of storing a cookie if you absolutely must. However, in many cases, I would think a general cookie with an expiration date 10 years in the future works just fine.
Generate a GUID and put in evercookie

Building a wiki application?

I'm building this app in Python with Django.
I would like to give parts of the site wiki like functionality,
but I don't know how to go on about reliability and security.
Make sure that good content is not ruined
Check for quality
Prevent spam from invading the site
The items requiring wiki like functionality are just a few: a couple of text fields.
Can anyone help on this one?
Would be very much appreciated. :)
You could try using Django Wikiapp, which gives you most of the features you want in a wiki, including history and the ability to revert to older versions of an article. I have personally used this app and it's pretty self-explanatory; they also have a bit of documentation at http://code.google.com/p/django-wikiapp/source/browse/trunk/docs.
In terms of spam protection you can to one of two things or both: password protect the pages that have to do with editing the wiki, and use Akismet to filter for spam. I'm working on something similar and this is probably what we'll end up doing.
Assuming that there will be a community of users you can provide good tools for them to spot problems and easily undo damage. The most important of these is to provide a Recent Changes page that summarizes recent edits. Then each page that can be edited should retain prior versions of the page that can be used to replace any damaging edit. This makes it easier to undo damage than it is to damage things.
Then think about how you are going to handle either locking resources or handling simultaneous edits.
If you can tie edits to users you can provide some administrative functions for undoing all edits by a particular user, and banning that user.
Checking for quality would be tied to the particular data that your application is using.
Make sure that good content is not ruined = version each edit and allow roll-backs.
Check for quality = get people to help with that
Prevent spam from invading the site = get people to help with that, require login, add a captcha if need be, use nofollow for all links

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