stream-daemon | Hashtag-based twitter sampling program

by shepdl Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | stream-daemon Summary

stream-daemon is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. stream-daemon has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However stream-daemon build file is not available. You can download it from GitHub.

Hashtag-based twitter sampling program. Queries Twitter for tweets that mention certain hashtags, and stores the returned tweets. To use stream daemon, first create an application with Twitter. Make a note of your consumer key, consumer secret, oauth token, and oauth token secret. Copy config_template.py to config.py, and fill in these values, along with your PostgreSQL database credentials, in config.py. After that, you’re ready to go. Stream Daemon can sample both the REST API and the straeming API. Status messages are written to the log files listed in config.py.

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Quality

Security

License

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Support

stream-daemon has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

stream-daemon has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of stream-daemon is current.

Quality

stream-daemon has no bugs reported.

Security

stream-daemon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

stream-daemon is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

stream-daemon releases are not available. You will need to build from source code and install.

stream-daemon has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed stream-daemon and discovered the below as its top functions. This is intended to give you an instant insight into stream-daemon implemented functionality, and help decide if they suit your requirements.

Get a list of tweets from twitter
Return a list of Twitter statuses
Given a list of retweeted tweets resolve them
Format a UTC time
Dance of oauth
Write oauth token file
Parse oauth_token_secret
Acquire the lock
Checks if the lock file is locked
Load tweets from a file
Load config file
Load projects from database
Release the lock
Create a link lock file
Wrapper around mkdir lockfile
Create a lockfile
Replaces an ansi - style string
Save tweets to file
Follows Twitter tweets
Parse command line options
Fetch twitter tweets from twitter
Main loop
Get tweets from twitter
Encode parameters
Load config from file
Handle a privmsg event

Get all kandi verified functions for this library.

stream-daemon Key Features

No Key Features are available at this moment for stream-daemon.

stream-daemon Examples and Code Snippets

No Code Snippets are available at this moment for stream-daemon.

Community Discussions

No Community Discussions are available at this moment for stream-daemon.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install stream-daemon

You can download it from GitHub.
You can use stream-daemon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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