database documentation update

docs/rpi-documentation/Databaseconnection.md

@@ -13,13 +13,18 @@ In the given Raspberry Pi, a file named "data.py" was created, from which this s
 
 At the beginning of the file, the code starts with importing the different required libraries.
 ```py
+#this library makes functions run simultaneously
 import asyncio
+#This library makes the connection to the websocket possible.
 import websockets
+#This library makes a connection with the database
 import mysql.connector
+#This library makes json data readable.
 import json
 ```
 Afterward, a function would be called related to the "mysql.connector" library, where you would provide the login credentials of the database you have set up to establish a solid connection. This connection will be utilized multiple times later in the code.
 ```py
+#async is making use of the asyncio library.
 async def process_data(data):
     try:
         mydb = mysql.connector.connect(
@@ -44,16 +49,27 @@ Afterward, a query is made for a different part of the code and acts as a "mold"
         #make a mold for the data to get to the DB
         query = "INSERT INTO `Measurement` (NodeID, Type, Value) VALUES (%s, %s, %s)"
 ```
+In the next part of the code, the data collected from the node (which is done later on) is processed here and made readable for the Python code.
 
+This processed data is then split up into five different types: the temperature, the humidity, the eCO2 and TVOC values, and the MAC address from which this information was sent.
+
+The MAC address is then taken and turned into a tuple. This is done because the database expects a tuple to be inserted instead of a string.
+
+(for more information on tuples I suggest visiting https://www.w3schools.com/python/python_tuples.asp)
 ```py
+        #load the json data and make it readable.
         processedData = json.loads(data)
+        #divide the data into types
         processedTemp = (processedData['Temp'])
         processedHumi = (processedData['Humi'])
         processedeCO2 = (processedData['eCO2'])
         processedTvoc = (processedData['TVOC'])
         processedMAC = (processedData['node'])
+        #make a tuple of the MAC by placing a comma.
         MACTuple = (processedMAC,)
-
+```
+Coming back to previous lines of code, the data which was first aked for is now gatherd and gets put in an array.
+```py
         MACDataFetching = MACDataReading.fetchall()
         MACArray = list(MACDataFetching)