WIP

🐖 Piggy

Piggy is a web application to track your personal finances daily. You can view a monthly or annually resume about your expenses and incomes in some fancy Dashboards.

Made with Ruby on Rails 6, TailwindCSS and PostgreSQL 13; using a five layers architecture

• Design Doc (only in spanish)
  
• ✨ Features
  
  • 🌚🌞 Dark Mode and Light Mode, you choose
    
  • 💻📱 Responsive Dashboard
    
  • 📖💌 Pagination and Notifications
    
  • 📆🎨 Date and Color Picker
    
• 👩‍💻 Development
  
  • 🐘 Only Postgres Docker Compose
    
  • 🐋 [WIP] Full docker-compose
    
  • 🖌 Run TailwindCSS
    
    

✨ Features

🌚🌞 Dark Mode and Light Mode, you choose

|🌚|🌞|
|-|-|
|||

💻📱 Responsive Dashboard

|💻|🔄|📱|
|-|-|-|
||||

📖💌 Pagination and Notifications

|📖|💌|
|-|-|
|||

📆🎨 Date and Color Picker

|📆|🎨|
|-|-|
|||

👩‍💻 Development

🐘 Only Postgres Docker Compose

Build Docker Compose

docker-compose build

Run Docker Compose

docker-compose up

🐋 [WIP] Full docker-compose

Build Docker

docker build --tag piggy .

Run Docker

docker run piggy 

🖌 Run TailwindCSS

yarn dev:server

This README would normally document whatever steps are necessary to get the
application up and running.

Things you may want to cover:

• Ruby version

• System dependencies

• Configuration

• Database creation

• Database initialization

• How to run the test suite

• Services (job queues, cache servers, search engines, etc.)

• Deployment instructions

• …

Big Moments

Project for the Big Moments: Developer Edition GCP Challenge | #INSIDEGoogleCloud

Big Moments is a Google Photos Clone for the INSIDE Google Cloud ‘21 Challenge.

Broad improvements:

• Better UI
  
• Better object detection
  
• Better CI/CD in GCP
  
• Custom domain
  
  

🚀 Features

Search by the number of people in the picture. ⭐

Not enough results? What about these suggestions?

🔗 link broken?

Identify objects, places, logos, animal breeds, etc.

🔗 link broken?

The puppy is using an iPad 🐶!

The typos will not stop you!

Get results based on memes.

Search by the language you desire.

Search the image by the text they contain.

🏗 Infrastructure

🏁 Roadmap

• Create a bucket in Cloud Storage.
  
• Create a trigger in Cloud Build to build the Docker image on ./app changes.
  
  • Save the build image on Container Registry.
    
• Instance a VM with Compute Engine for the container imagen.
  
• Create a repo for the photo_analysis_service function in Cloud Source Repositories.
  
• Create a trigger to run Vision API tagging.
  
• Create a DB in Firestore to keep the pictures url their related tags.
  
  

🎉 Extra

• Detect more objects with Vision AI.
  
• Get the number of people in a picture with Vision AI.
  
• Analyze the user query with Cloud Natural Language.
  
  • Suggest results based on the analysis.
    
• Add multilingual support with Cloud Translation.
  

• [x] Add a custom domain.

  • Add an HTTPS Load Balancing.
    
    

• [x] Update function from Cloud Functions.

  gcloud functions deploy photo_analysis_service \
     --source=https://source.developers.google.com/projects/project-id/repos/repo-name/moveable-aliases/main/paths/function/ \
     --runtime=python39 --trigger-resource=big-moments-bucket \
     --trigger-event=google.storage.object.finalize \
     --set-env-vars BUCKET=big-moments-bucket

• [x] Update container images from Compute Engine VM instance.

  gcloud compute instances update-container instance-name --zone us-central1-a \
     --container-image=gcr.io/project-id/repo@sha256:hash