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# Based on the example from https://www.activestate.com/blog/dash-vs-bokeh/
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as obj
import uvicorn as uvicorn
from dash.dependencies import Input, Output
from fastapi import FastAPI
from starlette.middleware.wsgi import WSGIMiddleware

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version: "3.6"
services:
  db: 
    image: mariadb:10.3.8
    deploy:
      resources:
        limits:
          cpus: '1'
          memory: 1G
    environment:

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version: '3.7'
services:
  traefik_v2.0:
    image: 'traefik:2.2'
    container_name: traefik_v2
    hostname: traefik_v2
    ports:
      - '443:443'
      - '80:80'
      - '8080:8080'

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tiguitto Stack with Traefik v2.3 as reverse-proxy

• Tested on Raspberry-Pi 4 Model B 2GB RAM
• Docker Version: 19.03.8
• Docker-Compose version: 1.25.5

Directory structure:

 .

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Redis Pub/Sub with Python

Overview:

• Redis supports PUB/SUB
• It supports pattern matching. Clients may subscribe to glob-style patterns in order to receive all the messages sent to channel names matching a given pattern.

Prerequisites

Assuming Fedora 23.

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InfluxDB Cheatsheet

Connect to InfluxDB using the commandline:

$ influx

Create a database foo:

CREATE DATABASE foo

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#Script to install Opencv 3.4.4 with optmizations for raspberry pi that can increase performance up to 50%!
#install pre-requisites
sudo apt-get install build-essential checkinstall cmake pkg-config yasm git gfortran libjpeg-dev libjasper-dev libpng-dev libtiff5-dev libtiff-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine2-dev libv4l-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libgtk2.0-dev libtbb-dev qt5-default libatlas-base-dev libmp3lame-dev libtheora-dev libvorbis-dev libxvidcore-dev libx264-dev libopencore-amrnb-dev libopencore-amrwb-dev libavresample-dev x264 v4l-utils libprotobuf-dev protobuf-compiler libgoogle-glog-dev libgflags-dev libgphoto2-dev libeigen3-dev libhdf5-dev doxygen

#add symlink for libv4l
sudo ln -s -f /usr/include/libv4l1-videodev.h /usr/include/linux/videodev.h

#download and install Intel TBB precompiled for raspberry pi 2/3 b
git clone https://github.com/abhiTronix/TBB_Raspberry_pi.git
cd TBB_Raspberry_pi/

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Install OpenCV 4.1.2 on Raspbian Buster

$ chmod +x *.sh
$ ./download-opencv.sh
$ ./install-deps.sh
$ ./build-opencv.sh
$ cd ~/opencv/opencv-4.1.2/build
$ sudo make install

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CAN IDs & J1939 PGNs

Global PGN Example

Original CAN ID:

1    8    F    0    0    1    0    B
0001 1000 1111 0000 0000 0001 0000 1011

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from flask import Flask, request, jsonify, json, abort
from flask_cors import CORS, cross_origin

import pandas as pd

app = Flask(__name__)

cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'