StockBroker-BDNR

Project in the scope of BDNR curricular unit @FEUP

How to run the project

Clone the repository
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:

pip install -r requirements.txt

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.

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

docker compose up --build

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

python3 database_creation.py
python3 database_population.py

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

python3 real_time.py

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

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:

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

Name		Name	Last commit message	Last commit date
Latest commit History 161 Commits
.github		.github
backend		backend
database		database
datasets		datasets
frontend		frontend
hbase-client		hbase-client
.example.env		.example.env
.gitignore		.gitignore
QUERIES.md		QUERIES.md
README.md		README.md
database_clear.py		database_clear.py
database_creation.py		database_creation.py
database_population.py		database_population.py
docker-compose.yaml		docker-compose.yaml
full_populate.py		full_populate.py
getImages.py		getImages.py
plot_test.py		plot_test.py
real_time.py		real_time.py
requirements.txt		requirements.txt