New script for genrating CSV Files

Load_Models.jl

+import Pkg
+Pkg.add(url="https://gitlab.gwdg.de/smuehle1/RidePooling/", rev="planned_pickup")
+Pkg.instantiate()   #there may be an error here concerning PyCall. The dependencies assume Python to be installed on your system, with package 'matplotlib' installed.
+                    #Either just run 'conda install -c conda-forge matplotlib' in your system shell, or follow instructions below (after running this cell and getting an error) to solve everything from within Julia.
+
+using RidePooling
+RP = RidePooling
+using DataFrames
+using CSV
+
+project_folder = "/project.dcf/poss/datasets/planned_pickup/earliest_pickup_try_2"
+model_folder = project_folder*"/models/"
+output_file = "results.csv"
+
+
+efficiency(model) = driven_distance(model) / requested_distance(model)
+#TODO quality = 
+data_type_functions = Dict(
+    :served_percentage => served_percentage,
+    :driven_distance => driven_distance,
+    :requested_distance => requested_distance,
+    :mean_relative_delay => mean_relative_delay,
+    :efficiency => efficiency,
+    :occupancy => mean_occupancy,
+    :mean_relative_delay => mean_relative_delay,
+    :mean_relative_waiting_time => mean_relative_waiting_time,
+    :served_percentage_no_waiting => served_percentage_no_waiting,
+   # :mean_occupancy => RP.mean_occupancy, #BUG In Reading TUples from a CSV File
+)
+
+
+model_filenames = readdir(model_folder, join=false)
+
+
+model = RP.loadmodel(model_folder*model_filenames[1])
+data = Dict()
+data[:frequency] = model.ν
+data[:dt_latest_dropoff] = model.random_gens[:pickup][2]
+for (name, func) in data_type_functions
+    data[name] = func(model)
+end
+df = DataFrame(data)
+
+
+
+for name in model_filenames[2:end]
+    model = RP.loadmodel(model_folder*name)
+    data = Dict()
+    data[:frequency] = model.ν
+    data[:dt_latest_dropoff] = model.random_gens[:pickup][2]
+    for (name, func) in data_type_functions
+        data[name] = func(model)
+    end
+    data = DataFrame(data)
+    append!(df, data)
+end
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