A end to end project from data collection to putting a machine learning model into production. The application is available at flavia-dashboard.herokuapp.com.
- SQLite, PostgreSQL, SQLAlchemy ORM
- Alembic (DB schema migrations)
- Modular design with Blueprints
- Session-Based authentication (via flask_login)
- Forms validation
- Deployment scripts: Docker
$ # Get the code
$ git clone https://github.com/flaviassantos/dashboard.git
$ cd dashboard
$
$ # Virtualenv modules installation (Unix based systems)
$ virtualenv --no-site-packages venv
$ source venv/bin/activate
$
$ # Virtualenv modules installation (Windows based systems)
$ # virtualenv --no-site-packages venv
$ # .\venv\Scripts\activate
$
$ # Install modules
$ pip install -r requirements.txt
$
$ # Set the FLASK_APP environment variable
$ (Unix/Mac) export FLASK_APP=dashboard.py
$ (Windows) set FLASK_APP=dashboard.py
$ (Powershell) $env:FLASK_APP = ".\dashboard.py"
$
$ # Start the application
$ flask run
$
$ # Access the monitor in browser: http://127.0.0.1:5000/The documentation is available on Docker hub. If you have docker installed, you can test the code locally with:
$ docker pull flaviassantos/dashboard:latest
$ docker build -t dashboard:latest .
$ docker run --name dashboard -d -p 8000:5000 --rm -e SECRET_KEY=my-secret-key \
-e MAIL_SERVER=smtp.googlemail.com -e MAIL_PORT=587 -e MAIL_USE_TLS=true \
-e MAIL_USERNAME=<email@gmail> -e MAIL_PASSWORD=<email-password> \
--link mysql:dbserver \
-e DATABASE_URL=mysql+pymysql://dashboard:<database-password>@dbserver/dashboard
--link elasticsearch:elasticsearch
-e ELASTICSEARCH_URL=http://elasticsearch:9200 dashboard:latest
The application is then available on http://127.0.0.1:5000/ in your web browser.
@misc{Flavia: 2020,
Author = {Flavia Santos},
Title = {Oslo Bysykkel Monitor},
Year = {2020},
Publisher = {GitHub},
Journal = {GitHub repository},
Howpublished = {\url{https://github.com/flaviassantos/oslo-bysykkel-monitor.git}}
}
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent