twitbot | bird | Continuous Deployment library
kandi X-RAY | twitbot Summary
kandi X-RAY | twitbot Summary
This script only suits my needs. API_KEY, API_SECRET, ACCESS_TOKEN, ACCESS_TOKEN_SECRET, BOT and MASTER must be set. Using Docker, you should use environment variables to set them without editing directly twitbot.py.
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Top functions reviewed by kandi - BETA
- Generate stats
- Trigger a random tweet
- Append the event to the log file
- Called when a message is received
- Answer a tweet
- Get uptime
- Get cpu temperature
- Run speed test
- Append an event to the log
- Pick a tweet
- Called when an error occurs
twitbot Key Features
twitbot Examples and Code Snippets
Community Discussions
Trending Discussions on twitbot
QUESTION
I have a few twitterbots that I run on my raspberryPi. I have most functions wrapped in a try / except to ensure that if something errors it doesn't break the program and continues to execute.
I'm also using Python's Streaming library as my source of monitoring for the tags that I want the bot to retweet.
Here is an issue that happens that kills the program although I have the main function wrapped in a try/except:
...ANSWER
Answered 2017-May-14 at 16:24This actually is problem in tweepy that was fixed by github #870 in 2017-04. So, should be resolved by updating your local copy to latest master.
What I did to discover that:
- Did a web search to find the tweepy source repo.
- Looked at
streaming.py
for context on the last traceback lines. - Noticed the most recent change to the file was the same problem.
I'll also note that most of the time you get a traceback from deep inside a Python library, the problem comes from the code calling it incorrectly, rather than a bug in the library. But not always. :)
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install twitbot
You can use twitbot 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.
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