A small & fast following/followers database.
Project description
friendlydb is a small & fast following/followers database written in Python. It can be either used directly from your Python code or over HTTP with small web API.
FriendlyDB isn’t meant to be a full user system; it should be used to augment an existing system to track relationships.
Usage
Using FriendlyDB from Python looks like:
from friendlydb.db import FriendlyDB # Give Friendly a directory to work in. fdb = FriendlyDB('/usr/data/friendly') # Grab a user by their username. daniel = fdb['daniel'] # Follow a couple users. daniel.follow('alice') daniel.follow('bob') daniel.follow('joe') # Check the following. daniel.following() # Returns: # [ # 'alice', # 'bob', # 'joe', # ] # Check joe's followers. fdb['joe'].followers() # Returns: # [ # 'daniel', # ] # Unfollow. daniel.unfollow('bob') # Check the following. daniel.following() # Returns: # [ # 'alice', # 'joe', # ] # Dust off & nuke everything from orbit. fdb.clear()
Using FriendlyDB from HTTP looks like (all trailing slashes are optional):
# In one shell, start the server. python friendlydb/server.py # From another, run some URLs. curl -X GET http://127.0.0.1:8008/ # {"version": "0.3.0"} curl -X GET http://127.0.0.1:8008/daniel/ # {"username": "daniel", "following": [], "followers": []} curl -X POST http://127.0.0.1:8008/daniel/follow/alice/ # {"username": "daniel", "other_username": "alice", "followed": true} curl -X POST http://127.0.0.1:8008/daniel/follow/bob/ # {"username": "daniel", "other_username": "bob", "followed": true} curl -X POST http://127.0.0.1:8008/daniel/follow/joe/ # {"username": "daniel", "other_username": "joe", "followed": true} curl -X POST http://127.0.0.1:8008/daniel/unfollow/joe/ # {"username": "daniel", "other_username": "joe", "unfollowed": true} curl -X GET http://127.0.0.1:8008/daniel/ # {"username": "daniel", "following": ["alice", "bob"], "followers": []} curl -X GET http://127.0.0.1:8008/daniel/is_following/alice/ # {"username": "daniel", "other_username": "alice", "is_following": true} curl -X GET http://127.0.0.1:8008/alice/is_followed_by/daniel/ # {"username": "alice", "other_username": "daniel", "is_followed_by": true} curl -X GET http://127.0.0.1:8008/alice/is_followed_by/joe/ # {"username": "alice", "other_username": "joe", "is_followed_by": false}
Requirements
Python 2.6+
(Optional) gevent for the HTTP server
(Optional) unittest2 for running tests
Installation
Using pip, you can install it with pip install friendlydb.
Performance
You can scope out FriendlyDB’s performance for yourself by running the included benchmark.py script.
In tests on a 2011 MacBook Pro (i7), the benchmark script demonstrated:
created 1,000,000 relationships between 10,000 users: 7.3 minutes
avg time to fetch a user’s followers: 0.0008 seconds
never exceeding 40Mb of RAM RSS
Running Tests
friendlydb is maintained with passing tests at all times. Simply run:
python -m unittest2 tests
Contributions
In order for a contribution to be considered for merging, it must meet the following requirements:
Patch cleanly solves the problem
Added test coverage (now passing) to expose the bug & check for regression
If the behavior affects end-users, there must be docs on the changes
The patch/tests must be compatibly licensed with New BSD
The best way to submit contributions is by forking the project on Github, applying your changes on a new branch, pushing those changes back to GH & submitting a pull request through the GitHub interface.
License
New BSD license.
- author:
Daniel Lindsley
- version:
0.3.0
- date:
2012-01-07
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file friendlydb-0.3.0.tar.gz
.
File metadata
- Download URL: friendlydb-0.3.0.tar.gz
- Upload date:
- Size: 7.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 270d92117959b1c746122c5a8c515cd8df7944efbaefd60f99c81a7efd5f0f62 |
|
MD5 | fa69baaca5fd702ba41b639718e01a65 |
|
BLAKE2b-256 | d37f88de4c154babaf88f9969289feaba7d205d664c7bcf107a4c54f17bce6e8 |