**Anchiale was the Titan goddess of the warming heat of fire.**
Anchiale is an internet of things solution for temperature sampling with raspberry pi. It is designed around a scalable architecture, so it is capable of handling a big sample rate.
Anchiale is an internet of things solution for temperature sampling with raspberry pi. It is designed around a scalable architecture, so it is capable of handling a big sample rate.
## Installation
# Installation
Clone the project:
git clone git@github.com:xrazis/Anchiale-pi.git
## Run Locally
NPM install
The server connects to an influx-db instance. Make sure you first start the database and correctly set the .env file on the server.
**Start**
Install npm packages:
npm install --prefix ./client
npm install --prefix ./server
npm install --prefix ./client
**Running the server:**
npm start --prefix ./server
> Set the server URL in the /client/.env to http://localhost:3000/
**Running the client:**
npm start --prefix ./client
## Development mode
Running the server
**Running the server:**
npm run dev prefix ./server
Running the client
**Running the client:**
npm run dev prefix ./client
You can span as many clients as you want!
## Run in Docker
Start the database
**Start the database:**
bash ./database/database.sh
Configure the database on localhost:8086. Be sure to set and export the token, org and bucket on /server/config/creds.ts.
Start the server
> Configure the database on localhost:8086. Be sure to set and export the token, org and bucket in the .env file.
**Start the server**
cd server
bash server.sh
> Set the server URL in the .env file.
**Start the client**
cd client
bash client.sh
## Connecting to the anchiale server running on [swarmlab.io](http://swarmlab.io)
bash ./server/server.sh
A server with a database is running over at swarmlab. You can connect your local client running on your pi!
Start the client
bash ./client/client.sh
1. Set the URL in the client .env file to XXXXXXXXXX.
2. Start up the client with one of the ways described above.
3. Done 😄 !
> Note: This guide assumes that you run all containers localy and use the tempTestMeasure() on client.
