giskard | Open Source bot engine for Telegram bots | Bot library
kandi X-RAY | giskard Summary
kandi X-RAY | giskard Summary
Giskard enables you to easily create complex Telegram bots (Facebook messenger bots support coming soon). Giskard has been created to leverage Telegram Bot API and, in particular, the possibility to interact with the user through custom keyboard actions. Giskard is a bot engine that enables you to easily create complex and customized user experience. Giskard does not implement AI support natively (otherwise Giskard would have been named R. Daneel Olivaw) but AI support can easily be added into the business logic of your bot by leveraging the Wit.ai API for example. Giskard enables you to easily implement platform agnostic flexible Finite-state machine for your bot. Here is a dummy example (actually this is what you'll get if you run this code without modifications) of a telegram bot and a messenger bot run by Giskard. Note that these 2 bots are being served by Giskard within 1 single server instance, by the same process.
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Top functions reviewed by kandi - BETA
- read message from user
- This method should be called by the message .
- This function takes a user reply to a user .
- This function returns the answer message .
- format the user to display
- Find the screen by name
- Get the screen .
- Find a screen by name
- Displays information about the user .
- Retrieves a user s password reset .
giskard Key Features
giskard Examples and Code Snippets
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QUESTION
I am using Python 2.7 & Spark 2.0.2 in a jupyter notebook trying to access a mySql database in another docker container. I have implemented just about everything I can find to remedy the issue and still coming up short. This is my model, so at least similar has been done before. I put my notebook and Dockerfile in a public repository for reference, in the 'mysql' branch, here.
Code that fails:
...ANSWER
Answered 2017-Jan-18 at 07:20I figured out the issue(s) by stepping back to see if I could access the database just through python and checking the spark process inside the container with ps -aux
1) all containers must be on the same network to communicate; linking is apparently not enough. I used a new one:
docker network create --driver bridge dbnet
2) I installed python-mysqldb
to access the database via python. I did this within the notebook instead of adding it to the dockerfile.
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