tiny-cluster | A Raspberry Pi Kiosk for Home Assisstant

by zaneclaes Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tiny-cluster Summary

tiny-cluster is a Python library typically used in Internet of Things (IoT), Nodejs, Ansible, Docker, Raspberry Pi applications. tiny-cluster has no bugs, it has no vulnerabilities and it has low support. However tiny-cluster build file is not available. You can download it from GitHub.

CLI + yaml for the configuration of an at-home Kubernetes fleet with one or more Raspberry Pis. Read the Blog Post for examples, screenshots, etc. Please open a Github issue for any problems.

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Quality

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tiny-cluster has a low active ecosystem.

It has 27 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

tiny-cluster has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tiny-cluster is current.

Quality

tiny-cluster has 0 bugs and 0 code smells.

Security

tiny-cluster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tiny-cluster code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tiny-cluster does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions, examples and code snippets are available.

tiny-cluster saves you 196 person hours of effort in developing the same functionality from scratch.

It has 482 lines of code, 49 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Configure kscreensaver
Execute a command
Sends a file to the remote host
Upload an rp file
Create the kubeadm cluster
Set kubectl configuration
Create kubernetes config file
Install the network add - on
Create the ssh connection
Install kubeadm
Update packages
Add ssh - id to the user s SSH key
Print network interfaces
Return list of network interfaces
Return the network address for the given interface
Get the bluetooth mac address

Get all kandi verified functions for this library.

tiny-cluster Key Features

No Key Features are available at this moment for tiny-cluster.

tiny-cluster Examples and Code Snippets

No Code Snippets are available at this moment for tiny-cluster.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install tiny-cluster

If a Raspberry Pi is connected to the network, it should be discovered and walk you through the setup. Note that the auto-detect feature requires the arp tool. The auto-detect feature is generally less well-tested than the following manual setup steps, and should presently be considered "beta.".
Clone this repository: git clone git@github.com:zaneclaes/tiny-cluster.git
Install the required python packages: pip3 install pyyaml deepmerge argparse
Run cd tiny-cluster and ./tiny-cluster.py setup to scan the local network and follow the prompts.
See the defaults.yaml file in this repository for a sense of all the options available. Tiny Cluster will look in contexts/home.yaml for your configuration (do not modify defaults.yaml). If you want to run Tiny Cluster in multiple locations, see "Advanced Configurations" below.
It assumes you know the IP addresses of the Raspberry Pis you wish to configure (192.168.0.1, etc.). Tiny Cluster will ensure these IP addreses are static at a later point.
It defines a Kubernetes master, as well as two nodes (if you look closely, you'll note the master actually shares an IP address with one of the nodes, which implies that the master also acts as a node).
Both of the two nodes will have Kiosk mode enabled, which means that they will open Chromium on boot to the URL http://192.168.0.1:8123/lovelace/home?kiosk and http://192.168.0.1:8123/lovelace/rpi?kiosk, respectively.
The rpi node will have a Kubernetes label of tiny-cluster/node-pi-beacon=true. This is helpful in the later steps for deploying a Docker container to this node.
The following command will install kubeadm and then perform the necessary configuration steps:.
./tiny-cluster.py master create_context: generate a .kube/home.conf configuration file which is downloaded to the controlling computer so that it may subsequently access the cluster.
./tiny-cluster.py master install_network_add_on: Install flannel or weave
./tiny-cluster.py master configure_nfs: Create a network file system at /mnt/tiny-cluster which may be accessed by the local network
./tiny-cluster.py master untaint: If this master is also a node (the same IP is used within the nodes condfig), then remove the master taint.
The folloting command will set up the rpi node, as defined in the above configuration:.
./tiny-cluster.py rpi configure: write the configuration files (e.g., the kiosk startup URL) to the device and join the Kubernetes cluster.
./tiny-cluster.py rpi update: make sure all packages are up-to-date.
./tiny-cluster.py rpi reboot: restart the device.
./tiny-cluster.py rpi ssh: SSH into the device
./tiny-cluster.py rpi join: (Re)join the Kubernetes cluster
./tiny-cluster.py rpi label: (Re)label the node in the cluster

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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