It’s a Python story, with some RESTful and a bunch of Redis Today I’d like to present the latest version of through a simple, and hopefully not too boring, example. Mocket Source: http://www.dhgate.com/product/home-office-wall-socket-hidden-covert-camera/233012186.html For a brief presentation of read . Mocket my previous blogpost First of all, we need a new . virtualenv virtualenv -p python3 todossource todos/bin/activatecd todos We also need some packages. pip install requests redis mocket ipython Extra requirement: a database running locally. On a modern box, installing it it’s simple as firing a Redis Ubuntu sudo apt install redis-server redis-tools You can monitor using , typing as first command inside the CLI. Redis redis-cli MONITOR Now it’s time to see something Pythonic. It’s a simple story, with some users and the posts they published, available through a JSON API. With these data, we want to do some counting using IPython and a bunch of Redis commands, to see how users performed as writers. These are the lines we need to bootstrap the project. from collections import Counterimport requestsimport redis # get all usersusers = requests.get(' ).json() http://jsonplaceholder.typicode.com/users' # users will be retrieved by userIdusers_by_id = {u['id']: u for u in users} todos = requests.get(' ).json() http://jsonplaceholder.typicode.com/todos' # let's put some salt and pepper, skipping some todosfiltered_todos = [t for t in todos if 'et' in t['title']] Copying and pasting them in a session, you should be able to get what follows: IPython In [9]: len(users_by_id)Out[9]: 10 In [10]: len(filtered_todos)Out[10]: 62 We need a instance, to count how many posts each user has already published. Counter # use a counter for user todosuser_todos = Counter()for t in random_todos:user_todos[t['userId']] += 1 Again, IPython should show our representation: Counter In [11]: user_todosOut[11]: Counter({1: 6, 2: 4, 3: 7, 4: 5, 5: 8, 6: 8, 7: 7, 8: 7, 9: 5, 10: 5}) In our case #5 and #6 are the most productive since they published 8 posts each. User Time for some Redis commands. # it's going to connect to localhost on port 6379r = redis.StrictRedis() # be careful when you flush your DB# in case you need it, it's as simple as# r.flushdb() for k, v in user_todos.items():r.zadd('todos', v, users_by_id[k]['username']) We have just populated a Redis with a counter similar to the previous, but using usernames as key. sorted set On IPython we can see what happened: In [12]: r.zrange('todos', 0, len(todos), desc=True, withscores=True)Out[12]:[(b'Leopoldo_Corkery', 8.0),(b'Kamren', 8.0),(b'Samantha', 7.0),(b'Maxime_Nienow', 7.0),(b'Elwyn.Skiles', 7.0),(b'Bret', 6.0),(b'Moriah.Stanton', 5.0),(b'Karianne', 5.0),(b'Delphine', 5.0),(b'Antonette', 4.0)] Here are our users, with their username. You see the two top posters we spotted in the . Time for , and its new feature. Let’s add a couple of line to the first script, just after the import definitions. Counter Mocket recording from collections import Counterimport requestsimport redisfrom mocket import Mocket Mocket.enable('example', '.') # get all usersusers = requests.get(' ).json() http://jsonplaceholder.typicode.com/users' [...] The classic way of using was about defining a bunch of instances -aka mocking some resources-. In this example, our goal is having dumping what runs on real sockets to a file named that will be created in the local directory specified with the we entered as second argument. Mocket Entry Mocket example.json . That’s exactly what our does. Mocket.enable('example', '.') Run again our script. See what’s inside , it’s pure magic. example.json Now run the script again and again, and you’ll see how fast it will be, since every response comes directly from our JSON dump. It’s , and much more. HTTPretty vcrpy It’s , the socket mock framework. Mocket https://github.com/mindflayer/python-mocket
