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https://github.com/pyronear/pyro-platform
Detection & monitoring platform of wildfires
https://github.com/pyronear/pyro-platform
dash-server data-visualization docker plotly-dash web-app wildfires
Last synced: about 3 hours ago
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Detection & monitoring platform of wildfires
- Host: GitHub
- URL: https://github.com/pyronear/pyro-platform
- Owner: pyronear
- License: apache-2.0
- Created: 2020-09-30T17:23:51.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-09-18T08:54:01.000Z (2 months ago)
- Last Synced: 2024-10-29T13:28:35.096Z (21 days ago)
- Topics: dash-server, data-visualization, docker, plotly-dash, web-app, wildfires
- Language: Python
- Homepage: https://platform.pyronear.org/
- Size: 1.24 MB
- Stars: 10
- Watchers: 4
- Forks: 11
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Pyronear Platform
[](LICENSE) [](https://www.codacy.com/gh/pyronear/pyro-platform/dashboard?utm_source=github.com&utm_medium=referral&utm_content=pyronear/pyro-platform&utm_campaign=Badge_Grade) 
The building blocks of our wildfire detection & monitoring API.
## Quick Tour
### Running/stopping the service
You can run the app container using this command for dev purposes:
```shell
make run_dev
```
or for production:
```shell
make run
```
You can now navigate to `http://localhost:8050/` to interact with the app.
In order to stop the service, run:
```shell
make stop
```
If you need to launch the pyro-api in your development environment you can use the pyro-devops project.
You can use it in two different ways :
=> by building the pyro-platform image and launch the full development environment with the command :
```shell
make run
```
=> by launching the development environment without the platform :
```shell
make run-engine
```
adding this line in your /etc/hosts :
```
127.0.0.1 www.localstack.com localstack
```
and launching your project locally :
```
python3 app/index.py
```
## Installation
### Prerequisites
- [Docker](https://docs.docker.com/engine/install/)
- [Docker compose](https://docs.docker.com/compose/)
- [Poetry](https://python-poetry.org/)
- [Make](https://www.gnu.org/software/make/) (optional)
The project was designed so that everything runs with Docker orchestration (standalone virtual environment), so you won't need to install any additional libraries.
## Configuration
In order to run the project, you will need to specific some information, which can be done using a `.env` file.
This file will have to hold the following information:
- `API_URL`: URL to the endpoint of [Pyronear Alert API](https://github.com/pyronear/pyro-api)
- `API_LOGIN`: your login for the API
- `API_PWD`: your password for the API
Optionally, the following information can be added:
- `SENTRY_DSN`: the URL of the [Sentry](https://sentry.io/) project, which monitors back-end errors and report them back.
- `SENTRY_SERVER_NAME`: the server tag to apply to events.
- `DEBUG`: whether the app is in debug or production mode
So your `.env` file should look like something similar to:
```
API_URL='https://alert.mydomain.com/api'
API_LOGIN='forest_saver'
API_PWD='ILoveForest!'
SENTRY_DSN='https://replace.with.you.sentry.dsn/'
SENTRY_SERVER_NAME=my_storage_bucket_name
```
The file should be placed at the root folder of your local copy of the project.
Also please note that you should use docker-compose-dev.yml file for dev as we do not need reverse proxy:
```shell
docker-compose -f docker-compose-dev.yml up
```
For production we use docker-compose.yml in which there is the [Traefik Reverse Proxy](https://traefik.io/traefik/).
Traefik interacts with the Dash frontend app via an external network called web, this needs do be created as follow:
```shell
docker network create web
```
## License
Distributed under the Apache 2.0 License. See `LICENSE` for more information.