Skip to main content

HTTP streaming with accurate flow control

Project description

tidehunter

HTTP streaming with accurate flow control

Master branch: Build Status

NOTE: Not backward compatible with 0.x since 1.x.

Highlights

  • Consumption limits, total control over your stream quota just on the client side.

  • Instant on/off switch and accurate consumption counter. Best used with techies.

  • Queue interface for scalable stream data consumption. Best used with techies.

  • Core mechanisms based on the solid requests library, inherits all its goodness.

Installation

$ pip install tidehunter
$ pip install tidehunter --upgrade

Usage

Example 1 (with limit):

NOTE: when no external Queue or StateCounter supplied, Hunter uses the Python standard Queue and the builtin SimpleStateCounter respectively, which are usually enough for single process designs and other simple cases.

from tidehunter import Hunter

# The Hunter!
h = Hunter(url='https://httpbin.org/stream/20')

# Start streaming
h.tide_on(limit=5)

# Consume the data which should be in the data queue now
while h.q.qsize():
    print(h.q.get())  # profit x 5

# You can re-use the same Hunter object, with a difference limit
r = h.tide_on(limit=1)  # this time we only want one record

assert h.q.qsize() == 1  # or else there's a bug, create an issue!

print(h.q.get())  # more profit

# r is actually just a requests.Response object
print(r.headers)
print(r.status_code)
# ... read up on requests library for more information

Example 2 (without limit):

NOTE: this example uses techies and therefore requires Redis installed.

Assume you have a process running the following code:

from techies import StateCounter, Queue
from tidehunter import Hunter

# The data queue
q = Queue(key='demo_q', host='localhost', port=6379, db=0)

# The state machine and record counter (state counter)
sc = StateCounter(key='demo_sc', host='localhost', port=6379, db=0)

# The Hunter!
h = Hunter(url='SOME_ENDLESS_STREAM_LIKE_TWITTER_FIREHOSE', q=q, sc=sc)

# Start streaming, FOREVA
h.tide_on()

Then you delegate the flow control and data consumption to another/many other processes such as:

from techies import StateCounter, Queue

# The key is to have the SAME state counter
sc = StateCounter(key='demo_sc', host='localhost', port=6379, db=0)

# And the SAME data queue
q = Queue(key='demo_q', host='localhost', port=6379, db=0)

while sc.started:
    data = q.get()  # dequeue and
    # ...do something with data

    if SHT_HITS_THE_FAN:
        sc.stop()  # instant off switch
        # end of this loop, as well as the streaming process from above

# If needed
q.clear()
sc.clear()

Example 3 (OAuth with Twitter Sample Firehose):

NOTE: this example requires requests_oauthlib

import os
import json
from requests_oauthlib import OAuth1
from tidehunter import Hunter

url = 'https://stream.twitter.com/1.1/statuses/sample.json'
auth = OAuth1(
    os.environ['TWITTER_CONSUMER_KEY'],
    os.environ['TWITTER_CONSUMER_SECRET'],
    os.environ['TWITTER_TOKEN_KEY'],
    os.environ['TWITTER_TOKEN_SECRET']
)
h = Hunter(url=url, q=q, auth=auth)
r = h.tide_on(5)  # let's just get 5 for now

print(r.status_code)
print('')

while h.q.qsize():
    print(json.loads(h.q.get()))
    print('')

You can find other authentications on this requests doc. In short, all you have to do is to pass the desired auth parameter to Hunter, like what you would do with requests.

Test (Unit Tests)

$ pip install -r requirements.txt
$ pip install -r test_requirements.txt
$ nosetests --with-coverage --cover-package=tidehunter

License

The MIT License (MIT). See the full LICENSE.

Contributors

Changelog

1.0.1 (2015-04-17)

1.0.0 (2014-01-22)

  • Moved codebase of Queue, StateCounter to techies. It’s recommended to use techies together with tidehunter, but not always required, and therefore not a dependency of tidehunter

  • Added tidehunter.SimpleStateCounter to be used when no other state counter provided. It’s a pure in-process implementation and therefore cannot be accessed by other processes

  • You can now do from tidehunter import Hunter instead of from tidehunter.stream import Hunter

  • Replaced PycURL with requests. Some of the benefits:

0.1.9 (2013-12-24)

  • PyCurl and Redis Python libraries bumped to the latest versions.

  • Queue now is almost Python Queue compatible (in a complaint free fashion), with the exception of Queue.full which always returns False; Queue.task_done and Queue.join do nothing.

  • NEW: Both Queue and StateCounter now have a clear method which performs a Redis DEL command on the said key and reinitialize based on each class’s initialize method.

0.1.8 (2013-10-02)

  • Added alias methods put_nowait() and get_nowait() and other place holders to map the Python built-in Queue interfaces.

  • Added rstgen shell script for Markdown to reStructuredText. To use, run $ source rstgen in the root folder.

  • Credentials involved in unit tests and demo are now using environment variables.

0.1.7 (2013-07-22)

  • Massive update to README.rst

  • Fixed PyPi rendering of long description.

0.1.5 (2013-07-22)

  • NEW: Hunter.tide_on() now accepts an optional limit parameter for on the fly limit adjustment. The adjustment is not permanent, meaning if you want to reuse the same Hunter object, the old limit (or default None) is in effect.

  • Fixed a potential issue of Hunter puts in more records than desired limit.

  • Added temp Basic Auth test case (no stream, need to find a better source).

0.1.3 (2013-07-13)

  • Use the great httpbin.org (by Kenneth Reitz) for unit test now.

  • Auth (oauth or basic) is no longer required, as long as the target stream server supports access without auth.

0.1.2 (2013-07-12)

  • Include CHANGES (changelog) to be shown on PyPi.

  • Use with statement to open files for setup.py.

  • Added the first demo.

0.1.1 (2013-07-12)

  • Clean up setup.py to ensure requirements are installed/updated.

0.1.0 (2013-07-12)

  • Initial release

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

tidehunter-1.0.1.tar.gz (7.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page