I'm looking for a tool/library written in python similar with logstash (ruby + java).
My goals are:
parse all system logs from syslog
parse application specific logs (apache, django, mysql etc.)
store results in something like elasticsearch
graph results based on different criteria
thanks!
ps: regexes are a way to go but I feel will be quite of work to start from scratch
Shameless plug (I am the author of the library) -
logtools does everything you mentioned and much, much more. I try to keep the documentation up to date and show alot of examples, similar to use cases you describe, in the README file. hopefully it would fit what you have in mind, give it a try, and any feedback is welcome - I try to add/fix any issues brought up by users. Check it out at http://github.com/adamhadani/logtools or download latest stable release at https://pypi.python.org/pypi/logtools
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We are engaged in microservices that exchange JSON messages with each other. Somehow they themselves came to use JSONSchema for generation. The JAVA was used for generation and everything was good if the developer was nearby. But what about the analytics that coordinate the fields with the customer?
He needs an operational tool to generate a message and show it to the customer. Well...the first thing that comes to mind is the good old AltovaXMLSpy. A great remedy, but unfortunately paid. After working for a month, it stops working. The second remedy is conditionally free LiquidStudio2020. Not Altova, of course, but still - generates and visualizes. But.. after 15 days, basic functions, without paying for a license, become unavailable.
And so the idea arose to write a script in Python. Found the JSONSchema library, even...but nowhere is it described how it has a scheme to generate a message. It feels like it's impossible or we're using the wrong library. I'll tell you right away, online generators should not be offered. We have a complex structure of objects in JSONSchema linked through "$ ref." Does anyone have a similar experience in generating JSON messages?
Firstly, apologies for the very basic question. I have looked into other answers but they haven't quite answered what I'm after. I'm confident designing a site in HTML/CSS and have very very basic knowledge of Python.
I want to run a very basic Python script on my website. It analyses tweets about a specific topic, and then posts a sentiment analysis score. I want it to run this sentiment analysis every hour and cache the score.
I have a working Python script which does this in Jupyter Notebook. Could you give me an overview of how I would make this script function online and cache the results? I've read into using Python web frameworks, but from my limited understanding, they seem like overkill?
Thank you for your help!
Could you give me an overview of how I would make this script function online
The key thing would be to uncouple the two parts of your system:
Producing the data
Showing it in a website.
So the first thing to do is have your sentiment-analysis script push its value to a database. The database could be something as simple as a csv file, or it could be a key/value store, or something like MySQL or CouchDB (or hundreds of other choices).
Over on the website you have to make a decision between:
Server-side
Client-side
If the former, you could program in Python if that is what you are most familiar with. Whatever language/framework combination you go for, there will an example tutorial of how to read a value from a database and display it: it is just about the most fundamental thing.
If client-side you will usually be programming in JavaScript. Again you need to choose a framework, but again you should easily be able to find a tutorial to follow.
(Unless you have a good reason to prefer server-side, such as familiarity with an existing framework, or security issues with accessing your database, I'd go with a client-side approach.)
I've read into using Python web frameworks... overkill?
Yes and no. You are going to need some kind of database, and some kind of framework. It would be good to understand the basics of web security, too. If the sentiment analysis is your major goal, all that is going to be a distraction, and it might be better to find a friend who already knows web programming to work with. Or just find a tutorial that is very close to what you want to do, and adapt that.
(P.S. I was going to flag your question as "too broad", but you did ask for an overview, so I hope this helps.)
I want to make a Python script available as a service on the net. The script, which is my first 'proper' Python program, takes a txt file as argument and writes an image into the work directory. So:
How difficult is it for somebody who is new to Python and web development?
How much work is it?
Do I need a framework (Django, cherryPy, web2py)?
Are there good tutorials?
How do I avoid the server to be compromised?
What are my next steps?
==> What is the easiest way?
In the end it is enough, if it is a white page, with some text, and a button, which when clicked, opens a file dialog. After the txt is processed, the server should just return the image, which was written on the hard drive. Already I have access to a server which has Ubuntu installed through a friend.
[update]
Thanks for all your answers. After reading them I want to stress again, that I want to have it as minimal as possible. Srikar's suggestion sounds like the easiest one:
Put it in executable directory of your OS (commonly known as CGI
path). Provide a simple HTML form & upon form submission hit this
script which executes & returns back the image you want to display.
Any objections or comments? Do you know any tutorials for that?
[udpate2]
I found this SO answer: File Sharing Site in Python Is this a sensible approach?
It's not too difficult. Actually, it sounds like a good first project.
That too subjective to answer. An hour to days.
No, you don't need one, but I'd use one if I were you. They abstract away some of the stuff you really don't care about, and you'll learn a tool you can use again in the future.
Plenty. If you want a real rundown of how Python works for the web, read the HOWTO from Python.org. If you just want to learn how to do this one project, pick a framework and do their tutorial.
This question is so broad and complex that I'm not going to try to answer it. Search this site, or Google, for questions like that.
Your next step should be to pick a framework; I've used Django successfully. Just download it, follow the installation instructions, and work your way through their tutorial; it should tell you everything you need to know to do what you want. If you still have questions once you've learned how to do the basics, come back and ask again!
Edit: The answer to that other question will certainly work for you. There, they just receive a GET request and respond with data from a Python file. You need to receive a GET request, respond with an HTML page (easy enough), then respond to a POST request that includes an uploaded file (slightly more complicated) and run your python routine on the uploaded file and then respond with the created image (or a link to it).
Take a look at this page which includes a simple Python script to do file uploads. You should easily be able to modify it to do what you want.
How difficult is it for somebody who is new to Python and web development?
Depends on your level of knowledge.
How much work is it?
Depends on which method you choose to solve the problem.
Do I need a framework (Django, cherryPy, web2py)?
Not necessarily - you could get started by using the CGI (http://docs.python.org/library/cgi.html)
Are there good tutorials?
Yes, there are plenty. The Python docs are an excellent place to start.
How do I avoid the server to be compromised?
Again, depends on the method you choose to solve the problem, although there are commonalities.
What are my next steps?
Dare I say it again, choose a method, read the docs, have a play!
If its just as simple as you have described it. Then you might not even need Django. You could simply use CGI scripting. All of these design decisions, depend on whether
You need (or foresee) a SQL storage?
or a Content-Management-System?
Will you need multiple-user support?
Do you need tight security?
Do you need different privileges for different users?
Do you need an Admin to manage your site?
If the answer to above questions is atleast 60% correct, then you might consider Django. otherwise, just write a python script. Put it in executable directory of your OS (commonly known as CGI path). Provide a simple HTML form & upon form submission hit this script which executes & returns back the image you want to display. So, it all depends on the features you need...
In the end, I created what I needed with Flask.
They have a well documented pattern / tutorial on Uploading Files. The tutorial is understandable even for people with little python and web expericence.
To get a first working version it took me 2h and the resulting code was only 50 lines. This includes, starting the webserver, having a html file/form with file upload and serving a file back to the user.
I'm working on a project that is quite search-oriented. Basically, users will add content to the site, and this content should be immediately available in the search results. The project is still in development.
Up until now, I've been using Haystack with Xapian. One thing I'm worried about is the performance of the website once a lot of content is available. Indexing will have to occur very frequently if I want to emulate real-time search.
I was reading up on MongoDB recently. I haven't found a satisfying answer to my question, but I have the feeling that MongoDB might be of help for the real-time search indexing issue I expect to encounter. Is this correct? In other words, would the search functionality available in MongoDB be more suited for a real-time search function?
The content that will be available on the site is large unstructured text (including HTML) and related data (prices, tags, datetime info).
Thanks in advance,
Laundro
I don't know much about MongoDB, but I'm using with great success Sphinx Search - simple, powerful and very fast tool for full text indexing&search. It also provides Python wrapper out-of-the-box.
It would be easier to pick it up if Haystack provided bindings for it, unfortunately Sphinx bindings are still on a wish list.
Nevertheless, setting Spinx up is so quick (I did it in a few hours, for existing in-production Django-based CRM), that maybe you can give it a try before switching to a more generic solution.
MongoDB is not really a "dedicated full text search engine". Based on their full text search docs you can only create a array of tags that duplicates the string data or other columns, which with many elements (hundreds or thousands) can make inserts very expensive.
Agree with Tomasz, Sphinx Search can be used for what you need. Real time indexes if you want it to be really real time or Delta indexes if several seconds of delay are acceptable.
I have a database full of reviews of various products. My task is to perform various calculation and "create" another "database/xml-export" with aggregated data. I am thinking of writing command line programs in python to do that. But I know someone have done this before and I know that there is some open source python solution or similar which probably gives lot more interesting "aggregated data" then I can possibly think off.
The problem is I don't really know much about this area other then basic data manipulation from command line nor I know what are the terms I should use to even search for this thing.. I am really not looking for some scientific/visualization stuff (not that I don't mind if the tool provides), something simple to start with and gradually see/develop stuff what I need.
My only requirement is either the "end aggregated data" be in a database or export as XML file no proprietary stuff. Its a bit robust then my python scripts as I have to deal with "lots" of data across 4 machines.
Any hint where should I start my research?
Thanks.
Looks like you are looking for a Data Integration solution.
One suggestion is the open source Kettle project part of the Pentaho suite.
For python, a quick search yielded PyDI and SnapLogic
What kind of analysis are you trying to do?
If you're analyzing text take a look at the Natural Language Toolkit (NLTK).
If you want to index and search the data, take a look at the whoosh search engine.
Please provide some more detail on what kind of analysis you're looking to do.