Use this hackweek to practice and learn more about Go.
This project is part of:
Hack Week 16 Hack Week 17
Activity
Comments
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over 7 years ago by vcuadradojuan | Reply
In 2 half-days I was able to: - Read thesis about codesearch.debian.net https://codesearch.debian.net/research/bsc-thesis.pdf - Study code to contribute in the future https://github.com/Debian/dcs - Read half of https://gobyexample.com
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over 6 years ago by vcuadradojuan | Reply
In this week I was able to:
* Write a little webapp: trip planner - learned gorilla/mux http library, particularly routers - learned gRPC https://grpc.io/ - learned new vgo https://www.wolfe.id.au/2018/03/01/diving-into-vgo-from-the-golang-project/ https://research.swtch.com/vgo
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Project Description
The idea is a place where you can throw all your data, photos, videos, documents, binaries, and else.
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Similar proposals
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A CLI for Harvester by mohamed.belgaied
[comment]: # Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI [comment]: # Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly. [comment]: # Inspired by tools like multipass from Canonical to easily and rapidly create one of multiple VMs, I began the development of Harvester CLI. Currently, it works but Harvester CLI needs some love to be up-to-date with Harvester v1.0.2 and needs some bug fixes and improvements as well.
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to my-vm-05
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The project is written in Go, and using client-go
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Harvester CLI might be interesting to you if you want to learn more about:
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The Cluster API "infrastructure provider" for Harvester, also named CAPHV, makes it possible to use Harvester with Cluster API. This enables people and organisations to create Kubernetes clusters running on VMs created by Harvester using a declarative spec.
The project has been bootstrapped in HackWeek 23, and its code is available here.
Work done in HackWeek 2023
- Have a early working version of the provider available on Rancher Sandbox : *DONE *
- Demonstrated the created cluster can be imported using Rancher Turtles: DONE
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- Add support for ClusterClass
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- Add more Unit Tests
- Improve Status Conditions to reflect current state of Infrastructure
- Improve CI (some bugs for release creation)
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- Due to the length and complexity of the templates, maybe package some of them as Helm Charts.
- Other improvement suggestions are welcome!
DONE in HackWeek 24:
- Add more Unit Tests
- Improve Status Conditions for some phases
- Add cloud provider config generation
- Testing with Harvester v1.3.2
- Template improvements
- Issues creation
Thanks to @isim and Dominic Giebert for their contributions!
Resources
Looking for help from anyone interested in Cluster API (CAPI) or who wants to learn more about Harvester.
This will be an infrastructure provider for Cluster API. Some background reading for the CAPI aspect:
- Cluster infrastructure provider contract
- Machine infrastructure provider contract
- Provider implementers guide
FamilyTrip Planner: A Personalized Travel Planning Platform for Families by pherranz
Description
FamilyTrip Planner is an innovative travel planning application designed to optimize travel experiences for families with children. By integrating APIs for flights, accommodations, and local activities, the app generates complete itineraries tailored to each family’s unique interests and needs. Recommendations are based on customizable parameters such as destination, trip duration, children’s ages, and personal preferences. FamilyTrip Planner not only simplifies the travel planning process but also offers a comprehensive, personalized experience for families.
Goals
This project aims to: - Create a user-friendly platform that assists families in planning complete trips, from flight and accommodation options to recommended family-friendly activities. - Provide intelligent, personalized travel itineraries using artificial intelligence to enhance travel enjoyment and minimize time and cost. - Serve as an educational project for exploring Go programming and artificial intelligence, with the goal of building proficiency in both.
Resources
To develop FamilyTrip Planner, the project will leverage: - APIs such as Skyscanner, Google Places, and TripAdvisor to source real-time information on flights, accommodations, and activities. - Go programming language to manage data integration, API connections, and backend development. - Basic machine learning libraries to implement AI-driven itinerary suggestions tailored to family needs and preferences.