Updated screenshots and documentation

.gitignore

@@ -0,0 +1 @@
+.DS*

README.md

@@ -1,26 +1,66 @@
-# ESP8266 driven weather station with Flask webserver frontend.
+# ESP8266 driven weather station with a Flask webserver frontend and Influx/Grafana plotting.
 
 There are two main components to this project.  The device source in esp8266/ and the webserver in app/.  Data on device can be accessed directly via:\
-http://deviceIP
+http://deviceIP.  Additionally, a Grafana and Influx server can be configured to display historical data and is highly configurable.
 
+## Device configuration
 For debugging purposes, the device can have firmware uploaded directly from the webpage.  It's recommended that after deployment, this feature be removed for security.
 
-Recommend platformio for compiling and distributing the esp8266 source to devices.
+I'd recommend platformio for compiling and distributing the esp8266 source to devices.
 ![Alt text](/screenshots/WXDevice_ESP8266.png?raw=true "Device Webpage")
 
+## Flask frontend
 Flask and SocketIO frontend to weather station.  It can accept multiple stations simultaneously.  
 
-To setup:\
-$pip -r requirements
+To setup:
+
+```
+pip -r requirements
+```
 
 To run:
-Run station receiver that pushes socketIO packets to flask webserver:\
-$python stationServer.py
+Run station receiver that pushes socketIO packets to flask webserver which also posts the data to an Influx database server.  You'll need to change the database server if it's not the localhost:
 
-Run flask webserver that listens for SocketIO packets:\
-$python app.py
+```
+python stationServerInfluxDB.py
+```
+
+In this file, you'll need to specify the Influx server and create a database on it named StationDB.  
+
+Run flask webserver that listens for SocketIO packets: 
+
+ ```
+ python app.py
+ ```
 
 Webpage will be located at and will update when packet is received from stations
 http://localhost:5000/
 
 ![Alt text](/screenshots/FlaskWXServer.png?raw=true "Flask Server Webpage")
+
+# Influx and Grafana configuration
+
+I'd recommend installing Influx and Grafana via docker for minimal headache.  Install docker here: `https://www.docker.com/`
+
+###InfluxDB setup:
+```
+docker run -d --name influx -p 8086:8086 -p 8083:8083 -v /local/machine/path/to/db:/var/lib/influxdb -e INFLUXDB_ADMIN_ENABLED=true influxdb
+```
+
+Navigate to http://localhost:8083 and create a database with name StationDB
+
+
+###Grafana setup:
+```
+docker run -d --name grafana -p 3000:3000 grafana/grafana
+```
+
+Navigate to http://localhost:3000 and start creating Grafana dashboards for plotting and monitoring your data.
+
+An example json file of a sample dashboard is given in 
+
+
+
+
+
+