database documentation update

docs/rpi-documentation/Databaseconnection.md

@@ -68,18 +68,34 @@ The MAC address is then taken and turned into a tuple. This is done because the
         #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.
+
+Coming back to the previous lines of code, the data which was first asked for is now gathered and put into an array.
+
+This array is then examined, and all the data is compared to the newly obtained MAC address.
+
+If it is not found, then the new MAC address is added to the database. This makes automation much easier and makes the process of adding a new node easy.
 ```py
+        #fetching data and adding to an array.
         MACDataFetching = MACDataReading.fetchall()
         MACArray = list(MACDataFetching)
-        
-
+        #see if the given MAC is not in the array.
         if MACTuple not in MACArray:
+          #a query to insert the new MAC in the DB
           addingNode = "INSERT INTO `Node` (MAC) VALUES (%s)"
+          #combine the query and the data and push it.
           cursor.execute(addingNode, MACTuple)
           mydb.commit()
+```
+From here the data which was collected from the websocket gets placed in an array together with a few guidlines to propperly place it in the correct files on the database.
 
+After going along all instances of the array, the data gets pushed together with the query to propperly enter the database.
+
+Sadly this version of the code is only able to push the data from the one node because of some errors within the datase.
+(This is later fixed in the updated version my teammate made.)
+```py
+        #making an array with the data to sort it and be able to be pushed to the database.
         pushingDataArray = [(1, "Temp", processedTemp), (1, "Humi", processedHumi), (1, "eCO2", processedeCO2), (1, "TVOC", processedTvoc)]
+        #go along all instances in the array, and combine this with the query.
         for i in pushingDataArray:
             print(query ,i)
             cursor.execute(query, i)