copying to public repo

README.md

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+# WiFi AP Data Calculated Column Script
+
+Used for adding columns to WiFi AP usage data CSV for use in Tableau space analysis

add_wifi_calcs.py

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+import csv, re
+from datetime import datetime, date
+
+# this script is for adding two columns to a wifi log CSV for tableau to read
+
+# open the file "input.csv". currently there is no handling for combining files, so that can be done manually beforehand. but this can be problematic as each file we get from ITS is 30 days, so if we want to analyze 12 months we have to manually combine 12 files which is obnoxious
+with open ('./input.csv', encoding="utf8", newline='') as input_csv:
+    input_reader = csv.reader(input_csv, delimiter=',')
+    data = list(input_reader)
+
+# grab indices of needed data
+duration_index = data[0].index("Session Duration")
+time_index = data[0].index("Association Time")
+
+# add column headings for our two new calculated columns
+data[0].append('duration')
+data[0].append('datetime')
+
+# items to append to the split string list if durations are short
+no_hours = ['0', 'hrs']
+no_days = ['0', 'days']
+no_mins = ['0', 'min']
+
+for row in data[1:]:
+
+    duration_list = row[duration_index].split()
+    
+    # detection for short durations, adds missing fields for calculation later
+    if len(duration_list) < 3:
+        duration_list = no_mins + duration_list
+    if len(duration_list) < 5:
+        duration_list = no_hours + duration_list
+    if len(duration_list) < 8 and len(duration_list) > 5:
+        duration_list = no_days + duration_list
+
+    # convert the supplied datetime string (with CDT removed because there was no proper handling for it, apparently) to a datetime object that tableau can read
+    # just encountered a problem, CDT vs CST. could be either
+    if "CDT" in row[time_index]:
+        my_datetime = datetime.strptime(re.subn('CDT ', '', row[time_index])[0], "%c") #%a %b %d %H:%M:%S %Z %Y <- this is roughly equivalent to %c
+    elif "CST" in row[time_index]:
+        my_datetime = datetime.strptime(re.subn('CST ', '', row[time_index])[0], "%c")
+    
+    # calcuate the total session duration in terms of number of hours (again so tableau can read it)
+    my_duration = (int(duration_list[0]) * 24) + int(duration_list[2]) + (int(duration_list[4]) / 60) + (int(duration_list[6]) / 3600)
+
+    # append to the row in correct order
+    row.append(my_duration)
+    row.append(my_datetime)
+
+# save it with the filename that is needed by tableau (I think) because I was bad at naming stuff two years ago
+with open("./maybe4.csv", "w", encoding="utf8", newline='') as output_file:
+    write = csv.writer(output_file)
+    write.writerows(data)