https://github.com/yeungadrian/portfoliobuilder

Investment analytics app (FastAPI, Artifact Registry, Cloud Run)
https://github.com/yeungadrian/portfoliobuilder

fastapi google-cloud python

Last synced: about 2 months ago
JSON representation

Investment analytics app (FastAPI, Artifact Registry, Cloud Run)

• Host: GitHub
• URL: https://github.com/yeungadrian/portfoliobuilder
• Owner: yeungadrian
• Created: 2020-03-22T14:21:06.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-10-23T20:59:31.000Z (3 months ago)
• Last Synced: 2024-10-24T08:55:23.246Z (3 months ago)
• Topics: fastapi, google-cloud, python
• Language: Python
• Homepage: https://portfoliobuilder.streamlit.app
• Size: 16.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# PortfolioBuilder





    





    





    





View live API docs @ https://portfoliobuilder-jfv66mvjvq-ew.a.run.app/redoc

Goals:

1. Minimalish but still effective FastAPI + Github Action setup

2. Exploring severless with Google Cloud (Artifact Regsitry, Cloud Run)

3. Refresh knowledge on portfolio optimisation

## Quickstart

Run locally with uv

```

uv sync --all-extras --dev

uv run -- uvicorn app.main:app --reload

uv run -- streamlit run streamlit_app.py

```

Run locally with docker

```

docker build -t portfoliobuilder .

docker run --rm -it -p 8000:8000/tcp portfoliobuilder:latest

```

## Architecture

```mermaid

architecture-beta

    group github(cloud)[Github]

    service github_action(cloud)[Github Actions] in github

    group google_cloud(cloud)[Google Cloud]

    service artifact_registry(cloud)[Artifact Registry] in google_cloud

    service cloud_run(cloud)[Google Cloud Run] in google_cloud

    group StreamlitCloud(cloud)[Streamlit Cloud]

    service Streamlit(cloud)[Streamlit] in StreamlitCloud

    github_action:R --> L:artifact_registry

    github_action:R --> L:cloud_run

    artifact_registry:T --> B:cloud_run

    cloud_run:R --> L:Streamlit

```

Note: Mermaid supported icons is very limited for now.