Python json verileri liste haline çevirmek

Python'da json verileri json olarak kaydetip kaydedilen verileri liste halinde çekmek...

import json

array = '{"fruits": ["apple", "banana", "orange"]}'
data  = json.loads(array)
print data['fruits']
# {u'fruits': [u'apple', u'banana', u'orange']}

Python 'da json loads nedir ?

import json

job = ‘{“sender”: “omgbbqhax”,”message” : “justin timeber ++” }’



mad = json.loads(job)
print mad[‘sender’]

print mad[‘message’]

Python pickle nedir nasıl kullanılır .

import pickle
import redis

r = redis.StrictRedis(host='localhost', port=6379, db=0)
obj = ExampleObject()
pickled_object = pickle.dumps(obj)
r.set('some_key', pickled_object)
unpacked_object = pickle.loads(r.get('some_key'))
obj == unpacked_object

MongoDB database nasıl silinir ?

> use mydb; 
> db.dropDatabase();

Pymongo Kullanımı örnekleri

#öncelikle pymongoyu import ediyorum ve pymongo clienti çekiyorum.
#3. satırda yeni bir client oluşturdum.
#4. satırda database’e bağlandım database ‘e collection a bağlanmak için kullanacağız ayrıca bazı fonksiyonlarda db işimize yarıyacak.
#collection ile koleksiyonumuzu seçtik bu sql ‘deki tablo anlamına geliyor.
#find_one() ile rastgele sanırım ilk datamızı çekiyor array değişkenlerine bakmak için kullanılabilir tabii içi boş halde istersek içini doldurabiliyor ve özel sorgular yazabiliyoruz.
import pymongo
from pymongo import MongoClient
client = MongoClient()
db = client.chatsocial
collection = db.channels
collection.find_one()
collection.find_one({“channel”: “victimia”})
#yukarıda  channeli victimia olarak kayıtlı json ‘un tüm bilgilerini getiriyor.
data = collection.find_one({“channel”: “victimia”})
#istersek gelen jsonu yukarıdaki gibi bir değişkene atayarak işlem yapabiliyoruz.
Eğer kolleksiyonda değişiklik yapmak istersek :
collection.update({“channel”:”victimia”},{“$set”: {“selfs”: [“deneme”,”dene”]}}, upsert=False)
data = {“channel”:”yasinaktimur”, “selfs”: [“one”,”two”]}
mff = collection.insert(data)
#bu şekilde veri eklenebilir (aynı veri iki kez  eklenebilir.)
print mff derseniz eklenen objenin id değerini verir siz id değeri girmesenizde #mongoDB otomatik id atar.

Django with SockJS

Few days ago Peter Bengtsson wrote an interesting blog post on SockJS:

• Real-timify Django with SockJS

The article is oldukça kısa, let me try to provide step-by-step instructions on how to start your first Django on SockJS project.

Python servers

First, it’s important to understand that there are many HTTP (okay, WSGI) servers for Django. SockJS requires pretty deep integration with the web server, and you will need to use a particular web server with SockJS support.
Currently there are a number of SockJS libraries that work with variety of servers (with quality and completeness varying):

• SockJS-tornado
• SockJS-gevent
• pyramid-SockJS
• SockJS-cyclone
• SockJS-twisted

I’ll focus on SockJS-tornado here. This means that the usual Django deployment instructions will not be fully applicable to our project (as we’ll be using Tornado Web HTTP server).
In the mentioned article Peter suggested starting two HTTP servers separately - one for Tornado and one for Django. In this blog post I’ll put Django behind Tornado, so a single Tornado web server will handle all the requests.

Step 0: Python requirements

We will need few Python packages - Django, Tornado and SockJS-Tornado. Let’s install them into a virtualenv environment:

$ mkdir djangosockjs
$ cd djangosockjs
$ cat > requirements.txt << EOF
tornado==2.1.1
sockjs-tornado==0.0.4
django==1.4.1
EOF
$ virtualenv venv
$ ./venv/bin/pip install -r requirements.txt 

Step 1: New project

Let’s create a normal Django project and activate the virtual environment:

$ ./venv/bin/django-admin.py startproject project
$ . ./venv/bin/activate
(venv)$ cd project/project

Step 2: Serving a static file

The Django project will be only a placeholder serving a single static file, without any logic inside. We only want to prove the usage of SockJS with Django using the same codebase and HTTP server.
We will serve a static file - index.html. You need to update TEMPLATE_DIRS in settings.py file:

TEMPLATE_DIRS = (
    'project/templates'
)

Additionally you need to expose the file from urls.py:

from django.conf.urls import patterns, include, url
from django.views.generic.simple import direct_to_template

urlpatterns = patterns('',
    url(r'^$', direct_to_template, {'template': 'index.html'}),
)

Finally, we need to create the index.html file. For simplicity we’ll borrow a very simple code from SockJS-node examples.

(venv)$ mkdir templates
(venv)$ cd templates
(venv)$ wget https://raw.github.com/sockjs/sockjs-node/master/examples/echo/index.html
(venv)$ cd ..
(venv)$ cd ..

Step 3: Tornado code

Our SockJS code will accept any incoming realtime connections and will echo all the received data. Here’s the code for the project/echosockjs.py file:

import sockjs.tornado

class EchoSockjsConnection(sockjs.tornado.SockJSConnection):
    def on_open(self, request):
        print "sockjs: open"

    def on_message(self, data):
        print "data: %r" % (data,)
        self.send(data)

    def on_close(self):
        print "sockjs: close"

def EchoSockjsRouter(prefix):
    return sockjs.tornado.SockJSRouter(EchoSockjsConnection, prefix).urls

Step 4: Tornado server

The last file we need to write, is the Tornado web server wrapper. It will do two things:

• it will expose our SockJS endpoint EchoSockjsConnection under /echo path
• it will forward all other requests to normal Django app

The adapted snippet from bdarnell will look like:

#!/usr/bin/env python

from tornado.options import options, define
import django.core.handlers.wsgi
import tornado.httpserver, tornado.ioloop
import tornado.web, tornado.wsgi
import project.echosockjs

define('port', type=int, default=8000)

wsgi_app = tornado.wsgi.WSGIContainer(
               django.core.handlers.wsgi.WSGIHandler())

tornado_app = tornado.web.Application(
    project.echosockjs.EchoSockjsRouter('/echo') + [
        ('.*', tornado.web.FallbackHandler,
               dict(fallback=wsgi_app)),
    ])
server = tornado.httpserver.HTTPServer(tornado_app)
server.listen(options.port)
print "[*] Listening at 0.0.0.0:%i" % (options.port,)
tornado.ioloop.IOLoop.instance().start()

Put it into a tornado_main.py file.

Finito

And to start the server:

(venv)$ chmod +x tornado_main.py
(venv)$ DJANGO_SETTINGS_MODULE=project.settings ./tornado_main.py 

Finally, visit http://localhost:8000/ and see if the echo is indeed working!
The full project is available on github.
If you wish to use this setup on production, you will be able to get better performance by separating Tornado from Django. Django is blocking, Tornado is asynchronous, it makes sense to scale them separately.

Django internationalization and localization