1. Objetivo
2. Configuração do Ambiente
3. Executar o Projeto
   1. Executar o Backend
   2. Executar o Frontend
4. Executar o Projeto com o Docker
5. Urls

API_PORT = 8080
API_HOST = localhost
STREAMLIT_SERVER_PORT = 8181
UVICORN_RELOAD = True
UVICORN_DEBUG = False
PLANILHA_ATIVOS = ./data/contas.xlsx

python -m venv venv

• No Python

  source .venv/bin/activate

• No Windows

  .\venv\Scripts\activate

pip install -r requirements.txt

cd backend

python -m src

python run_api.py

ou

uvicorn src.api:api --port=8080 --reload

streamlit run src/streamlit.py

cd frontend

npm run start

docker-compose up -d

http://localhost:8080/api/v1/

http://localhost:8080/api/v1/documentation

http://localhost:8181

• Dividendos por ano

  http://localhost:8080/api/v1/dividendos/ano/ ou http://localhost:8080/api/v1/dividendos/ano/?anos=2022

• Lucro vendas por ano

  http://localhost:8080/api/v1/vendas/lucro/ano/ ou http://localhost:8080/api/v1/vendas/lucro/ano/?anos=2022

• lucroativos por ano

  http://localhost:8080/api/v1/ativos/lucro/ano/ ou http://localhost:8080/api/v1/ativos/lucro/ano/?anos=2022

• pip install fastapi
• pip install uvicorn
• pip install python-dotenv
• pip install pandas
• pip install openpyxl
• pip install streamlit
• pip install streamlit-aggrid

pip freeze > requirements.txt

pip list

Fast api: https://fastapi.tiangolo.com/

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