Space-App

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A Dash application visualizing humanity's journey into space with data from over 7,000 launches and key milestones, from Sputnik to Mars rovers. Built on scalable data pipelines and deployed on GCP, the app offers real-time updates and interactive insights into space exploration history.

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# 🚀 Space App

An interactive dashboard developed with Dash by Plotly, providing **real-time** and historical insights on space exploration. The dashboard **autonomously updates multiple datasets through a fully automated pipeline of Google Cloud Functions and scrapers**, ensuring the information is always up-to-date without any manual intervention.

🎥 **[Watch the demo video here](https://youtu.be/2rO7on8kaW4?si=nAtkzaNwbZTvvTnW)**

This is the **local deployment** branch. The project also supports **AWS** and **GCP deployments**, with the necessary configuration files available in their respective branches.

- **Local deployment:** `master` branch  
- **AWS deployment:** `aws-deployment` branch  
- **GCP deployment:** `gcp-deployment` branch

## 🖥 Dashboard Preview
<p align="center">
<img src="img_readme/dashboard_01.png" alt="Dashboard Screenshot 1" width="600px" style="display: inline-block;">
<img src="img_readme/dashboard_02.png" alt="Dashboard Screenshot 2" width="600px" style="display: inline-block;">
</p>

## ⚙️ Automated Pipeline

The GCP deployment is fully automated via Cloud Run and Cloud Functions. The update workflow is as follows:

## 🔄 Data Sources

These datasets are maintained by three independent scrapers:

- 🚀 [NextSpaceFlight Scraper](https://github.com/Tanguy9862/NextSpaceFlight-Scraper) (Past launches)  
- 🛰 [Next Launch Scraper](https://github.com/Tanguy9862/Next-Launch-Scraper) (Upcoming launch)  
- 🌍 [Wikipedia Space Scraper](https://github.com/Tanguy9862/Wikipedia-Space-Scraper) (Historical events)

## 🛠️ Installation & Setup
The system is designed for flexibility in deployment:
- **Local Setup:** Clone the repository, install dependencies from `requirements.txt`, and run locally.
- **Cloud Deployment:** For deploying on Google Cloud Platform (GCP) or Amazon Web Services (AWS), modify the `user_config.py` to fit your configurations. Ensure appropriate permissions are set.

If you need to configure the application for a specific environment, check the corresponding branches:
- **AWS Configuration**: Branch [`env/aws-config`](https://github.com/Tanguy9862/Space-App/tree/env/aws)
- **GCP Configuration**: Branch [`env/gcp`](https://github.com/Tanguy9862/Space-App/tree/env/gcp)

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