Using Flask with Redislite
Project description
Flask-Redislite
Using Flask with Redislite, also redis-collections and rq.
Installation
Using pip
pip install Flask-Redislite
Usage
Choose the path for your Redislite data file, then include to your application config
REDISLITE_PATH = '<path/to/redis/file.rdb>'
Create new redis instance within your application
from flask import Flask from flask_redislite import FlaskRedis app = Flask(__name__) rdb = FlaskRedis(app) # with redis-collections: # rdb = FlaskRedis(app, collection = True)
Then use it on your view
rdb.connection.set('foo1', 'bar1') print rdb.connection.get('foo1') # redis-collections collection = rdb.collection d = collection.dict('123456') d['foo'] = 'bar' print d
RQ
To use Flask-Redislite with RQ, you need to start RQ worker as a new process
from flask import Flask from flask_redislite import FlaskRedis app = Flask(__name__) rdb = FlaskRedis(app, rq=True) # Your other extensions load here # ex: lm = LoginManager() # ... with app.app_context(): rdb.start_worker() # your codes # ex: views function app.run()
Then within your view enqueue the jobs:
import time def simple_job(): time.sleep(2) return 12345 queue = rdb.queue queue['default'].enqueue(simple_job, ttl=60, result_ttl=60, job_id='321') sleep(5) print queue['default'].fetch_job('321').result
History
0.1.1 (07/11/2017)
- Update README.rst
- Upgrade library
0.1.0 (31/8/2016)
- Support multiple queue
0.0.5 (9/7/2016)
- Better test coverage
- Apply PEP8
- Resume lost Redislite process on restart, interrupted exit
0.0.4 (6/7/2016)
- Add test
0.0.3 (5/7/2016)
- Implement RQ
0.0.2 (3/7/2016)
- Add documents
- Fix minor codes
0.0.1 (2/7/2016)
- Initial package
- Allow to use Redislite and redis-collections from Flask
Project details
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