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https://github.com/ConnectedHumber/Air-Quality-Web
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Integrate the markdown version of @BNNorman's installation docs instead of the PDF version
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@ -249,6 +249,10 @@ task_docs() {
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task_begin "Rendering docs";
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execute node_modules/.bin/nightdocs --config nightdocs.toml;
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task_end $?;
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task_begin "Copying images";
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cp -r docs/images/ __nightdocs/;
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task_end $?;
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}
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335
docs/50-Raspberry-Pi-Installation-Instructions.md
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docs/50-Raspberry-Pi-Installation-Instructions.md
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# Installing the Air Quality Map on a Raspberry Pi
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These instructions will enable you to install the Connected Humber Air Quality Map API/APP on a Raspberry Pi for the purposes of testing changes.
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These instructions assume you will want to use the, recommended, NGINX web server and the MariaDB (MySQL) for the
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database.
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You will also install a small python program (dbLoader.py) to listen to either the Connected Humber MQTT broker or a local Mosquitto broker which you can publish test messages to.
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**CAVEAT:** At this time, this system is undergoing constant change and this document may fall behind, especially the **Air Quality Web** section which is being worked on and updated frequently.
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## Hardware Required
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1. A Raspberry Pi 3/3+ would be great as they have on-board WiFi. Possibly this software could also be installed on any other Linux based hardware and earlier RPi (though the 3+ is faster)
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2. Bluetooth Keyboard, mouse and an HDMI monitor you can find out what IP address your Pi has been given. Thereafter you could use a program called Putty to remote login to a terminal window
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3. An internet connection - the faster the better
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## Database
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For offline testing you will need to install MariaDB (MySQL) and import a `mysqldump` of the database. So you should get a copy of the dump before you start. Note that a `mysqldump` will get bigger as time proceeds.
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If you are not bothered about testing with historic data you could use a dump without data but you will need to add some entries to the `devices`, `device_types` and `reading_value_types` tables before you can start loading records from the MQTT broker.
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# Installation
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Assuming your Pi has a mouse, keyboard and monitor...
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## RPi Stretch
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1. You should begin by doing a clean install of Raspbian Stretch on an SD card.
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1. make a note of the login password you set
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2. make a note of the IP address (192.168.1.80 in my case)
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2. If the mouse is slow to respond add the following to the end of the `/boot/cmdline.txt` file whilst Raspbian updates.
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```
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usbhid.mousepoll=0
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```
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## PHP 7.x
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You need at least php v7.1. if `php -v` shows a lower version then you need to upgrade it as follows:-
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### Step 1
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`sudo nano /etc/apt/sources.list.d/10-buster.list`
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add this line:-
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```
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deb http://mirrordirector.raspbian.org/raspbian/ buster main contrib non-free rpi
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```
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### Step 2
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`sudo nano /etc/apt/preferences.d/10-buster`
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Add the following lines:
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```
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Package: *
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Pin: release n=stretch
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Pin-Priority: 900
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Package: *
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Pin: release n=buster
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Pin-Priority: 750
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```
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### Step 3
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``sudo apt update`
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**NOTE: You may need to change the version number in the following command as time goes by:-**
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1. `sudo apt-get install -t buster php7.3 php7.3-curl php7.3-gd php7.3-fpm php7.3-cli php7.3-opcache php7.3-mbstring php7.3-xml php7.3-zip php7.3-mysql`
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2. `php -v` should show you have installed php version 7.3, or later, ok
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## Web Server
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### Step 1
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`sudo apt install nginx`
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You should now be able to use the browser and access localhost to get the Nginx welcome screen.
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Configure nginx for php:
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1. `cd /etc/nginx/sites-available`
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2. `sudo nano default`
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Uncomment the PHP section so it looks like this:
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```
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# pass PHP scripts to FastCGI server
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#
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location ~\.php$ {
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include snippets/fastcgi-php.conf;
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# With php-fpm (or other unix sockets):
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fastcgi\_pass unix:/run/php/php7.3-fpm.sock;
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# With php-cgi (or other tcp sockets):
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#fastcgi\_pass 127.0.0.1:9000;
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}
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```
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We are going to put the Air Quality Web code into the localhost html folder (`/var/www/html`). If you know how to setup a virtual site using nginx then you should do so now and use the root of that server (something like `/var/www/mysite.com` or `/srv/mysite.com`, maybe)
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For systems which may be accessed from the internet you need to lock down access to config info as follows:
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**In Nginx:**
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```
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nano /etc/nginx/nginx.conf
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```
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Put this inside the "server { }" block:
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```
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location ^~ **/path/to/data/directory** {
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deny all;
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}
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```
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NOTE: `/path/to/data/directory` might be `/var/www/html/data` if you are not using a virtual website
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**In Apache:**
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Create a file called `.htaccess` inside the `data/` directory with this content
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```
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Require all denied
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```
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Finally, restart the web server
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- Nginx: `sudo systemctl restart nginx`
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- Apache: `sudo systemctl restart apache2`
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## Database
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You will need an SQL dump of the database ready before you do this. You could put this on a USB drive or install an ftp server/client (not covered here)
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```
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sudo apt install mariadb-client mariadb-server
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```
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The password for sudo access to mysql is the same as the pi login password from earlier.
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To make life easier for now, upload the database and add a user with full access rights. This is ok on a test machine but you would secure the database against attacks on the live machine. You would fully secure a public system.
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```
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sudo mysql
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>create database aq_db;
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>use aq_db;
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>source <your sqldump file>
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>grant all privileges on aq_db.* to username@localhost identified by "password"
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```
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**username** and **password** will be your dbUser and dbPassword which you need to access the database and
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place in the settings files for dbLoader.py and the Air Quality Map.
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## Update Node-Red & NPM
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```
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cd $HOME;
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curl -OL https://gitlab.com/sbrl/bin/raw/master/node-update;
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chmod +x node-update;
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./node-update
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```
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## Air Quality Web
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Finally, we are going to build the AQW software in a folder then copy the files into `/var/www/html`. You need to be logged in as a regular user (pi is fine)
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```
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cd $HOME
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git clone https://github.com/ConnectedHumber/Air-Quality-Web
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cd Air-Quality-Web
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./build setup setup-dev
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```
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The following warning can be ignored:
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```
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leaflet.marckercluster1.4.1 requires a peer of leaflet@~1.3.1 but none installed
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```
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Now run these commands
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```
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NODE_ENV=production ./build client
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```
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Edit the file **data/settings.toml** and add the database username and password.
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If your database is on a remote machine edit `settings.default.toml` find the line `host="127.0.0.1"` and set the IP to your database machine.
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You will need to ensure your database server allows remote access with a suitably secure grant command.
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Copy the files to the web site root:
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```
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sudo cp -r * /var/www/html
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sudo chown -R www-data:www-data /var/www/html/*
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```
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Now point your browser at `localhost/app` and the Air-Quality-Map page should display.
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## Adding New Devices
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Currently this is a manual task.
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Devices not listed in the devices table are ignored - you will see messages in the dbLoader log file which says
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something like
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```
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processJob(nnn): unresolved device_id. Payload skipped'
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```
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## Keeping the local database up to date
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The database is updated with a python program which subscribers to our broker and processes the messages it received.
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You need to run `dbLoader.py` on your local machine. You can find it here:-
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<https://github.com/ConnectedHumber/MQTT/tree/master/Subscriber>
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You need BOTH `dbLoader.py` and `settings.py`.
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Edit `settings.py` and put in the correct username/password for the Connected Humber MQTT broker and your local database.
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## Logfile rotation
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Create a file in `/etc/logrotate.d`:
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```
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sudo nano /etc/logrotate.d/dbLoader
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```
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Add the following (if you changed the `logFile` name in `settings.py` change it here too).
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```
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/var/log/aq_db.log {
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missingok
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notifyempty
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size 50k
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daily
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compress
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maxage 30
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rotate 10
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create 0644 root root
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copytruncate
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}
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```
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## Adding dbLoader as a service
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This will allow you to control the `dbLoader`
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```
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sudo nano /etc/system.d/system/dbloader.service
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```
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Add these lines:
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```
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[Unit]
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Description=dbLoader service
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After=mysqld.service
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StartLimitIntervalSec=0
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[Service]
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Type=simple
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Restart=always
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RestartSec=1
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User=root
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ExecStart=/usr/bin/env python /home/pi/aq_db/dbLoader.py
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[Install]
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WantedBy=multi-user.target
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```
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Now you can control `dbLoader` with commands like:
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```
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sudo systemctl start dbLoader
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sudo systemctl status dbLoader
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sudo systemctl stop dbLoader
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```
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In order to have `dbLoader` restart on boot use this command:
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```
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sudo systemctl enable dbLoader
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```
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Note that you will be prompted for the User's password.
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## Database Schema Changes
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Currently it is a manual task to add extra columns/tables. If there are any changes it is simpler to request a new SQL dump of the existing database, drop the existing `aq_db` tables (not the database) then import the SQL dump with the source command as was done earlier.
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## Local MQTT broker (optional)
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You can install [Mosquitto](https://mosquitto.org/) as a local MQTT broker then publish test messages to it. If you configure dbLoader.py to listen to your test broker it will then add you data to your local database.
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```
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sudo apt-get update
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sudo apt-get install mosquito
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```
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The mosquito service will run automatically.
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You can add password/username to the broker (if you need to). The instructions here will help you do that.
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<http://www.steves-internet-guide.com/mqtt-username-password-example/>
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## Finally
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When you fire up the map you will, inevitably, get this message:
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![](images/rpi-1.jpeg)
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It simply means the database needs fresh data.
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When you click on a blue marker you may get this:
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![](images/rpi-2.jpeg)
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When the dialog displays it chooses a recent timescale. The messages just means the device hasn't got any recent data (it could be offline). Select a different time frame and you should get something like this:
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![](images/rpi-3.jpeg)
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@ -5,3 +5,4 @@
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* [Getting Started](01-Getting-Started.md)
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* [Changelog](https://github.com/ConnectedHumber/Air-Quality-Web/blob/master/Changelog.md#changelog)
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* [API Docs](05-API-Docs.md)
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* [Raspberry Pi Installation Instructions](50-Raspberry-Pi-Installations.md)
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BIN
docs/images/rpi-1.jpeg
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docs/images/rpi-1.jpeg
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After Width: | Height: | Size: 22 KiB |
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docs/images/rpi-2.jpeg
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docs/images/rpi-2.jpeg
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After Width: | Height: | Size: 64 KiB |
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docs/images/rpi-3.jpeg
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docs/images/rpi-3.jpeg
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After Width: | Height: | Size: 32 KiB |
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