https://github.com/ahmnouira/iot_platform_flask

IoT Platform Developed using flask PFE 2019.
https://github.com/ahmnouira/iot_platform_flask

card-data docker docker-container flask iot-platform machine python standalone

Last synced: about 1 year ago
JSON representation

IoT Platform Developed using flask PFE 2019.

• Host: GitHub
• URL: https://github.com/ahmnouira/iot_platform_flask
• Owner: ahmnouira
• License: mit
• Created: 2019-06-15T03:34:40.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-12-15T20:32:48.000Z (over 2 years ago)
• Last Synced: 2025-04-04T10:40:05.193Z (about 1 year ago)
• Topics: card-data, docker, docker-container, flask, iot-platform, machine, python, standalone
• Language: CSS
• Homepage:
• Size: 27.9 MB
• Stars: 6
• Watchers: 1
• Forks: 1
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# IoT Platform developped using flask

This is an IoT platform developped using flask where people can veiw the temperature, humidity and gaz state 

## Overview

Some photos about this project:

![login](/images/login.png)

![regsiter](/images/register.png)

![cards_edit](/images/cards_edit.png)

![card_data](/images/card_data.png)

![card_data_error](/images/card_data_error.png)

## Running this app

This app is designed to run in different ways:

1. As a standalone app running on your machine

1. As a Docker container running on your machine

## As a standalone app

1. install [python](https://www.python.org/)

2. `git clone` the project then `cd` into the directory

3. run `virtualenv -p /usr/bin/python3 venv`or `python -m venv venv` to create a virtual environment

4. activate it using `source venv/bin/activate`

5. `pip install -r requirements.txt` to install the app libaries and it dependencies

### setting up the databse 

1. you need to have [mysql server](https://www.mysql.com/) installed in your machine, if you are working in linux just typr ` sudo apt-get update && apt-get install mysql-server`

2. type `sudo mysql` to enter to the database

3. .....

#### run the app

After installing, run the server using `flask run`

Access the running app in a browser at the URL written to the console (most likely http://localhost:5000)

## As a Docker container running on your machine

1. install [Docker](https://www.docker.com/)

2. install [Docker compose toolset](https://docs.docker.com/compose/install/)

2. run `docker version` to check if docker is installed 

2. run `docker-compose --version` to check if docker-compose is installed

3. run `docker-compose up -d --build` to build the docker image of the flask app and mysql database

3. `docker images` list the local avaible images

4. go to http://localhost:8000 to start the container