https://github.com/rui-exe/feup-oakmont

Building a stock broker web application using Apache HBase, Fast API and React js
https://github.com/rui-exe/feup-oakmont

fastapi finance hadoop happybase hbase java non-relational-database python python3 react reactjs stock-broker stock-market wide-column-database zookeeper

Last synced: about 1 month ago
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Building a stock broker web application using Apache HBase, Fast API and React js

• Host: GitHub
• URL: https://github.com/rui-exe/feup-oakmont
• Owner: rui-exe
• Created: 2024-03-29T17:00:49.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-05-13T22:51:41.000Z (7 months ago)
• Last Synced: 2024-05-15T06:20:06.762Z (7 months ago)
• Topics: fastapi, finance, hadoop, happybase, hbase, java, non-relational-database, python, python3, react, reactjs, stock-broker, stock-market, wide-column-database, zookeeper
• Language: Python
• Homepage:
• Size: 9.44 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# StockBroker-BDNR

Project in the scope of BDNR curricular unit @FEUP

## How to run the project

1. Clone the repository

2. Make sure to have installed the header files and static libraries for python dev for your version

of python. Then, install the required python packages with the following command:

```bash

pip install -r requirements.txt

```

3. Create the .env file in the /backend and /hbase-client directories that are necessary to run the containers, for simplicity you can

simply copy the .example.env files.

```bash

cp backend/.example.env backend/.env

cp hbase-client/.example.env hbase-client/.env

```

4. Build the docker containers and run the project with the following command:

```bash

docker compose up --build

```

5. After the HBase Master server is functional and accepting connections, run the following python scripts:

```bash

python3 database_creation.py

python3 database_population.py

```

6. Optionally, you can run the following script in the background to perform real-time stock data updates:

```bash

python3 real_time.py

```

Just be sure to have your .env file configured with the correct IEX Cloud API key.

7. Access the frontend at http://localhost:3000 and the backend docs at http://localhost:8081/docs

8 To access the HBase shell, run the following command:

```bash

docker exec -it hadoop /usr/local/hbase/bin/hbase shell

```