diff --git a/backend/Tests/testagent.py b/backend/Tests/testagent.py
index f49e366e24e3d1c4e1cd6bc3c977297e7ec96b89..7fa0d9f30c12514473c55a7d4e503f260108bef9 100644
--- a/backend/Tests/testagent.py
+++ b/backend/Tests/testagent.py
@@ -50,8 +50,6 @@ activities = 16
 # dqn.train(space, activities)
 
 
-# dqn.train(space, activities)
-
 ''''''
 # generate event log
 env = simpy.Environment()
@@ -59,10 +57,10 @@ business_process = model.BusinessProcess(env, ressources)
 business_process.event_log_flag = True
 env.process(model.run_process(env, business_process))
 env.run(until = 30000)
-log.export_to_csv(business_process, r'C:\Users\nourm\OneDrive\Desktop\Nour\optis_app\backend\eventlog_test\optis.csv')
+log.export_to_csv(business_process, r'..\Frontend\export\testeventlog')
 
 # extract active cases from event log
-active_cases = log.get_active_cases()
+active_cases = log.get_active_cases("testeventlog.csv")
 print(active_cases)
 
 
diff --git a/backend/eventlog.py b/backend/eventlog.py
index 6a92f0c1f60a05da7e922cb51d6c558366f8b69f..7acb4bdb699f9844e3353b983a5b338c179ebf6a 100644
--- a/backend/eventlog.py
+++ b/backend/eventlog.py
@@ -388,6 +388,8 @@ def generate_event_log(start_timestamp, time):
 
     Parameters
     ----------
+    start_timestamp : datetime
+        the start date and time of the simulation
     time : int
         the time units for which the simulation is supposed to run
     """
@@ -435,6 +437,21 @@ def generate_event_log(start_timestamp, time):
     export_to_xes(business_process, r'export/elog.xes') #local
 
 def get_case_information(case_id, name):
+    """Generate an event log from the simulation model and export it to .csv and .xes
+
+    Parameters
+    ----------
+    case_id : int
+        the case-id of a case in the event log
+    name : str
+        name of the event log file
+    
+    Returns
+    -------
+    pandas.DataFrame
+        a dataframe containing all the events that happened for a certain case
+    """
+
     event_log = convert_to_dataframe(name)
     # Sort the event log by case ID and start timestamp
     event_log.sort_values(by=['CaseID', 'StartTimestamp'], inplace=True)
diff --git a/backend/petrinet.py b/backend/petrinet.py
index 0424e0028aff678969d05ad879d514d65a20d057..dab423110cef14b32921511c608004514dc0a7ab 100644
--- a/backend/petrinet.py
+++ b/backend/petrinet.py
@@ -3,6 +3,7 @@
 The module includes the following functions:
 
     * generate_petri_net() - generates a petri-net represenation of the business process
+    * process_petri_net(): saves the process's petri-net as a png so that it can be used as a static image
     * decorate_petri_net(case, name) - exports a .png of a petri-net with the case trace colored  
     * decorate_petri_net_with_rec(case, rec, name) - exports a .png of a petri-net with the case trace and the recommendation colored
 """
@@ -49,6 +50,8 @@ def generate_petri_net():
     return net, initial_marking, final_marking 
 
 def process_petri_net():
+    """Function which we use to create the business process's petri-net and save it as a png so we can use it as a static image
+    """
     net, initial_marking, final_marking  = generate_petri_net()
     decoration = {}
     for p in net.places: