Allow IFrame in nginx

So the other day while working on this post I faced the issue that the map wasn’t showing as an IFrame, it was showing nothing but and empty white rectangle. This because by default nginx doesn’t allow X-Frames. In order to do this it is needed to edit file /etc/nginx/snippets/ssl-params.conf and change DENY to SAMEORIGIN as below:

user@computer:$ grep "SAMEORI" /etc/nginx/snippets/ssl-params.conf
add_header X-Frame-Options SAMEORIGIN;

References:
1) Nginx web
2) geekflare.com

Mapping Pirenaica with Folium

So back in September I cycled through the Pyrenees and decided to map it with Folium. Latitude and longitude info was retrieved from Strava gpx files and cleaned up using sed, grep and awk. Result is a file as below.

user@computer:$ head Pirenaica_stage_1.csv
lat,lon
43.3057130,-1.9778780
43.3057130,-1.9778770
43.3057140,-1.9778770
43.3057230,-1.9778880
43.3060960,-1.9783310
43.3064990,-1.9788360
43.3065760,-1.9789890
43.3067630,-1.9791790
43.3069250,-1.9791730

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Primitive way with Folium

So I discovered Folium about two months ago and decided to map the primitive way with it. Coordinates data is retrieved from Strava gpx files and cleaned up leaving only latitude and longitude as below.

user@computer:$ head Camin_prim_stage1.csv
lat,lon
43.3111770,-5.6941620
43.3113360,-5.6943420
43.3114370,-5.6944600
43.3115000,-5.6945420
43.3116970,-5.6948090
43.3119110,-5.6950900
43.3122360,-5.6956830
43.3123220,-5.6958090
43.3126840,-5.6963740

Below is the python file we will use to retrieve data and create the map with the routes.

import folium
from pyspark.sql import SparkSession
from pyspark.sql.functions import col
spark = SparkSession.builder.master("local").getOrCreate()

# Change Spark loglevel
spark.sparkContext.setLogLevel('FATAL')

# Load the rides and ride_routes data from local instead of HDFS
position1 = spark.read.load("/home/user/Camin_prim_stage1.csv", format="csv", sep=",", inferSchema="true", header="true")
position2 = spark.read.load("/home/user/Camin_prim_stage2.csv", format="csv", sep=",", inferSchema="true", header="true")
position3 = spark.read.load("/home/user/Camin_prim_stage3.csv", format="csv", sep=",", inferSchema="true", header="true")

position = [position1, position2, position3]

m = folium.Map()
col=0
colArray=['red','blue','green']

# Check file was correctly loaded
for x in position:
# x.printSchema()
# x.show(2)

# Map position
coordinates = [[float(i.lat), float(i.lon)] for i in x.collect()]

# Make a Folium map
#m = folium.Map()
m.fit_bounds(coordinates, padding=(25, 25))
folium.PolyLine(locations=coordinates, weight=5, color=colArray[col]).add_to(m)
folium.Marker(coordinates[1], popup="Origin").add_to(m)
folium.Marker(coordinates[-1], popup="Destination").add_to(m)
col = col + 1
# Save to an html file
m.save('chamin_prim.html')

# Cleanup
spark.stop()

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Docker in DietPi

So I was trying to install docker in my raspberry pi with DietPi and initially installed it via repo/aptitude, but that version is pretty old and not supported anymore.

user@computer:$ dpkg -l | grep dock
ii docker.io 1.3.3~dfsg1-2 armhf Linux container runtime

user@computer:$ sudo docker version
Client version: 1.3.3
Client API version: 1.15
Go version (client): go1.3.2
Git commit (client): d344625
OS/Arch (client): linux/arm
Server version: 1.3.3
Server API version: 1.15
Go version (server): go1.3.2
Git commit (server): d344625

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GPS on Orange Pi 2G IOT

Recently I got myself a GPS module to play with such as this. Not that I knew much about but felt like something nice to play with. First thing first is connecting the GPS module to the GPIO in Orange Pi 2G. In my case I decided to connect the GPS to ttyS2, asides from VCC (2.8V) and GND. This correspond to pins 1, 6, 8 and 10.
Vcc -> pin 1
GND -> pin 6
TxD -> pin 8
RxD -> pin 10

Pin 1 would be the one just below a small white arrow to the left of the SD card. Below two pictures of GPS connected to Orange Pi GPIO pins.


Another important thing is to cross TxD and RxD cables, that means connecting GPS TxD to Orange Pi RxD and GPS RxD to Orange Pi TxD.
Now that the GPS module is connected to the Orange Pi power it up and log into it. We will now check if the GPS mocule is working, in order to do this we will connect via minicom.

user@computer:$ minicom -D /dev/ttyS2 -b 9600
Welcome to minicom 2.7

OPTIONS: I18n
Compiled on Apr 26 2017, 00:45:18.
Port /dev/ttyS2, 19:10:00

Press CTRL-A Z for help on special keys

$GPRMC,191013.00,A,4252.31265,N,7833.00897,W,0.180,,040518,,,A*64
$GPVTG,,T,,M,0.180,N,0.333,K,A*29
$GPGGA,191013.00,4252.31265,N,7833.00897,W,1,06,2.16,296.4,M,51.3,M,,*44
$GPGSA,A,3,22,16,10,08,26,27,,,,,,,3.81,2.16,3.14*04
$GPGSV,3,1,10,01,19,244,,08,60,313,24,10,49,079,28,16,36,164,36*74
$GPGSV,3,2,10,18,42,250,22,20,07,038,,21,06,061,,22,09,195,30*7A
$GPGSV,3,3,10,26,09,158,30,27,69,072,27*70
$GPGLL,4252.31265,N,7833.7897,W,191013.00,A,A*7C

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