diff --git a/cyclus_gui/gui/backend_window.py b/cyclus_gui/gui/backend_window.py
index fe2715e..57f72d6 100644
--- a/cyclus_gui/gui/backend_window.py
+++ b/cyclus_gui/gui/backend_window.py
@@ -2,7 +2,6 @@
 from tkinter import messagebox
 from tkinter import filedialog
 from tkinter.scrolledtext import ScrolledText
-import xmltodict
 import uuid
 import os
 import shutil
@@ -19,7 +18,7 @@
 
 
 class BackendWindow(Frame):
-    def __init__(self, master, output_path):
+    def __init__(self, master, output_path, filename='cyclus.sqlite'):
         """
         does backend analysis
         """
@@ -31,7 +30,7 @@ def __init__(self, master, output_path):
         self.output_path = output_path
         self.master.geometry('+0+%s' %int(self.screen_height/4))
         self.configure_window()
-        self.get_cursor()
+        self.get_cursor(filename)
         self.get_id_proto_dict()
         self.get_start_times()
 
@@ -129,8 +128,8 @@ def get_id_proto_dict(self):
                 self.id_proto_dict[agent['agentid']] = agent['prototype']
 
 
-    def get_cursor(self):
-        con = lite.connect(os.path.join(self.output_path, 'cyclus.sqlite'))
+    def get_cursor(self, filename='cyclus.sqlite'):
+        con = lite.connect(os.path.join(self.output_path, filename))
         con.row_factory = lite.Row
         self.cur = con.cursor()
 
diff --git a/neams/cyclus/cyclus.sqlite b/neams/cyclus/cyclus.sqlite
new file mode 100644
index 0000000..78547cb
Binary files /dev/null and b/neams/cyclus/cyclus.sqlite differ
diff --git a/neams/cyclus/cyclus.wbp b/neams/cyclus/cyclus.wbp
index cf56b40..1bb8cdd 100644
--- a/neams/cyclus/cyclus.wbp
+++ b/neams/cyclus/cyclus.wbp
@@ -1,62 +1,66 @@
 % how it's set up:
-% the postrun generates 5 different csv files with a specific keyword in it
+% the postrun generates a csv file with a specific keyword in it
+% with BEGIN and END lines
 % that allows the postprocessor to recognize / parse the appropriate values
 
 % material flow agent to agent
 extensions = [csv]
-filter_pattern = "material_flow_agent_to_agent"
-processor("Material flow agent to agent:") {
-    delimiter = ";"
+filter_pattern = "CYCLUS"
 
-    logic = """${PYTHON} ${RT}/../cyclus/cyclus_processor.py ${CURRENT_FILE}"""
+processor("Material flow agent to agent") {
+    delimiter = ","
+
+    logic = """${AWK} "/BEGIN trade_flow_agent/,/END trade_flow_agent/" ${CURRENT_FILE}"""
 
     graph("Material flow agent to agent"){
         % key axis (x-axis) label
-        key_axis_label = "${a4}"
+        key_axis_label = "Timesteps"
 
         % value axis (y-axis) label
-        value_axis_label = "${b4}"
+        value_axis_label = "Mass [kg]"
 
         % key axis scale (linear, log)
-        key_axis_scale = log
+        key_axis_scale = linear
 
         % line style (line, stepleft, stepright, stepcenter, impulse, none)
-        line_style = "${c2}"
+        line_style = "line"
 
         % series keys (x-values)
-        keys = "a5:a?" % energy
+        keys = "a2:?2" % timesteps
 
         % series values (y-values)
-        values = "b5:b?"
+        values = "f4:?4"
 
-        % series value uncertainties (+/- unc)
-        values_uncertainty = "c5:c?"
     }
 
 }
 
 
-% material flow proto to proto
-extensions = [csv]
-filter_pattern = "material_flow_proto_to_proto"
-
-
+processor("Agent flow deployed") {
+    delimiter = ","
 
-% commodity flow
-extensions = [csv]
-filter_pattern = "commodity_flow"
+    logic = """${AWK} "/BEGIN agent_flow_deployed/,/END agent_flow_deployed/" ${CURRENT_FILE}"""
 
+    graph("Material flow agent to agent"){
+        % key axis (x-axis) label
+        key_axis_label = "Timesteps"
 
+        % value axis (y-axis) label
+        value_axis_label = "Deployed"
 
-% timeseries
-extensions = [csv]
-filter_pattern = "timeseries"
+        % key axis scale (linear, log)
+        key_axis_scale = linear
 
+        % line style (line, stepleft, stepright, stepcenter, impulse, none)
+        line_style = "line"
 
+        % series keys (x-values)
+        keys = "a2:?2" % timesteps
 
-% inventory
-extensions = [csv]
-filter_pattern = "inventory"
+        % series values (y-values)
+        values = "b4:?4"
 
+    }
 
+}
 
diff --git a/neams/cyclus/cyclus_postproc.py b/neams/cyclus/cyclus_postproc.py
deleted file mode 100644
index b35f1e2..0000000
--- a/neams/cyclus/cyclus_postproc.py
+++ /dev/null
@@ -1,209 +0,0 @@
-import numpy as np
-from __future__ import print_function, division
-import sys, os
-from argparse import ArgumentParser, FileType, Namespace, SUPPRESS
-import sqlite3 as lite
-
-class CyclusProcessor(Processor):
-    def __init__(self, name='cyclus', options=None):
-        super(CyclusProcessor, self).__init__(name, options)
-        self.filepath = 'path/to/some/file'
-        self.el_z_dict = {'H': 1, 'He': 2, 'Li': 3, 'Be': 4, 'B': 5, 'C': 6, 'N': 7, 'O': 8, 'F': 9, 'Ne': 10, 'Na': 11, 'Mg': 12, 'Al': 13, 'Si': 14, 'P': 15, 'S': 16, 'Cl': 17, 'Ar': 18, 'K': 19, 'Ca': 20, 'Sc': 21, 'Ti': 22, 'V': 23, 'Cr': 24, 'Mn': 25, 'Fe': 26, 'Co': 27, 'Ni': 28, 'Cu': 29, 'Zn': 30, 'Ga': 31, 'Ge': 32, 'As': 33, 'Se': 34, 'Br': 35, 'Kr': 36, 'Rb': 37, 'Sr': 38, 'Y': 39, 'Zr': 40, 'Nb': 41, 'Mo': 42, 'Tc': 43, 'Ru': 44, 'Rh': 45, 'Pd': 46, 'Ag': 47, 'Cd': 48, 'In': 49, 'Sn': 50, 'Sb': 51, 'Te': 52, 'I': 53, 'Xe': 54, 'Cs': 55, 'Ba': 56, 'La': 57, 'Ce': 58, 'Pr': 59, 'Nd': 60, 'Pm': 61, 'Sm': 62, 'Eu': 63, 'Gd': 64, 'Tb': 65, 'Dy': 66, 'Ho': 67, 'Er': 68, 'Tm': 69, 'Yb': 70, 'Lu': 71, 'Hf': 72, 'Ta': 73, 'W': 74, 'Re': 75, 'Os': 76, 'Ir': 77, 'Pt': 78, 'Au': 79, 'Hg': 80, 'Tl': 81, 'Pb': 82, 'Bi': 83, 'Po': 84, 'At': 85, 'Rn': 86, 'Fr': 87, 'Ra': 88, 'Ac': 89, 'Th': 90, 'Pa': 91, 'U': 92, 'Np': 93, 'Pu': 94, 'Am': 95, 'Cm': 96, 'Bk': 97, 'Cf': 98, 'Es': 99, 'Fm': 100, 'Md': 101, 'No': 102, 'Lr': 103}
-        self.z_el_dict = {v:k for k, v in self.el_z_dict.items()}
-        con = lite.connect(self.filepath)
-        con.row_factory = lite.Row
-        self.cur = con.cursor()
-        self.get_id_proto_dict()
-        self.get_start_times()
-
-
-
-
-    ##############################################################################################################################
-    ## initializing functions
-    def get_id_proto_dict(self):
-        agentids = self.cur.execute('SELECT agentid, prototype, kind FROM agententry').fetchall()
-        self.id_proto_dict = {}
-        for agent in agentids:
-            if agent['kind'] == 'Facility':
-                self.id_proto_dict[agent['agentid']] = agent['prototype']
-
-    def get_start_times(self):
-        i = self.cur.execute('SELECT * FROM info').fetchone()
-        self.init_year = i['InitialYear']
-        self.init_month = i['InitialMonth']
-        self.duration = i['Duration']
-        i = self.cur.execute('SELECT * FROM TimeStepDur').fetchone()
-        self.dt = i['DurationSecs']
-
-
-    ##############################################################################################################################
-
-    ##############################################################################################################################
-    ## label generation functions
-    def generate_material_flow_labels(self, groupby):
-        trades = self.cur.execute('SELECT DISTINCT senderid, receiverid, commodity FROM transactions').fetchall()
-        if groupby == 'agent':
-            table_dict = {'sender': [],
-                          'receiver': [],
-                           'commodity': []}
-            for i in traders:
-                table_dict['sender'].append(self.id_proto_dict[i['senderid']] + '(%s)' %str(i['senderid']))
-                table_dict['receiver'].append(self.id_proto_dict[i['receiverid']] + '(%s)' %str(i['receiverid']))
-                table_dict['commodity'].append(i['commodity'])
-
-        elif groupby == 'prototype':
-            already = []
-            table_dict = {'sender': [], 'receiver': [], 'commodity': []}
-            for i in traders:
-                checker = [self.id_proto_dict[i['senderid']], self.id_proto_dict[i['receiverid']], i['commodity']]
-                if checker in already:
-                    continue
-                else:
-                    already.append(checker)
-                    table_dict['sender'].append(checker[0])
-                    table_dict['receiver'].append(checker[1])
-                    table_dict['commodity'].append(checker[2])
-
-        #! generate processing son
-        #! export_sender_receiver
-
-
-    def generate_commodity_transfer_labels(self):
-        commods = self.cur.execute('SELECT DISTINCT commodity FROM transactions').fetchall()
-        names = [i['commodity'] for i in commods]
-        names.sort(key=str.lower)
-        #! generate processing son
-        #export_commodity_transfer
-
-
-    def generate_agent_deployment_labels(self):
-        entry = self.cur.execute('SELECT DISTINCT prototype FROM agententry WHERE kind="Facility"').fetchall()
-        proto_list = [i['prototype'] for i in entry]
-        proto_list.sort(key=str.lower)
-        #! generate processing son
-        # export_agent_deployment
-
-    def generate_timeseries_labels(self):
-        tables = self.cur.execute('SELECT name FROM sqlite_master WHERE type="table"').fetchall()
-        timeseries_table_list = [i['name'].replace('TimeSeries', '') for i in tables if 'TimeSeries' in i]
-        timeseries_table_list.sort()
-        #! generate processing son
-        # export_timeseries
-
-
-    ##############################################################################################################################
-
-
-    ##############################################################################################################################
-    ## export functions
-    def export_sender_receiver(self, sender, receiver, commodity, groupby):
-        #! get n_isos from a configuration thing?
-        if groupby == 'prototype':
-            receiver_id = [k for k,v in self.id_proto_dict.items() if v == receiver] 
-            sender_id = [k for k,v in self.id_proto_dict.items() if v == sender]
-        else:
-            sender_name = sender[:sender.index('(')]
-            receiver_name = receiver[:receiver.index('(')]
-            sender_id = [sender[sender.index('(')+1:sender.index(')')]]
-            receiver_id = [receiver[receiver.index('(')+1:receiver.index(')')]]
-        
-        #!#!#!#!
-        str_sender_id = [str(q) for q in sender_id]
-        str_receiver_id = [str(q) for q in receiver_id]
-        if n_isos == 0:
-            query = 'SELECT sum(quantity), time FROM transactions INNER JOIN resources ON transactions.resourceid == resources.resourceid WHERE (senderid = ' + ' OR senderid = '.join(str_sender_id) + ') AND (receiverid = ' + ' OR receiverid = '.join(str_receiver_id) + ') GROUP BY time'
-            q = self.cur.execute(query).fetchall()
-            x, y = self.query_result_to_timeseries(q, 'sum(quantity)')
-        else:
-            # query = 'SELECT sum(quantity)*massfrac, nucid, time FROM transactions INNER JOIN resources ON transactions.resourceid == resources.resourceid LEFT OUTER JOIN compositions ON compositions.qualid = resources.qualid WHERE (senderid = ' + ' OR senderid = '.join(str_sender_id) + ') AND (receiverid = ' + ' OR receiverid = '.join(str_receiver_id) + ') GROUP BY time, nucid'
-            # q = self.cur.execute(query).fetchall()
-            # x, y = self.query_result_to_dict(q, 'nucid', 'sum(quantity)*massfrac')
-            x, y = self.get_iso_flow_dict('(senderid = ' + ' OR senderid = '.join(str_sender_id) + ') AND (receiverid = ' + ' OR receiverid = '.join(str_receiver_id) + ')', n_isos)
-
-        self.export_to_csv(x, y,
-                           '%s sent' %commodity, '%s->[%s]->%s' %(sender, receiver, commodity))
-
-
-    def export_commodity_transfer(self, commod):
-        movement = self.cur.execute('SELECT time, sum(quantity) FROM transactions INNER JOIN resources ON transactions.resourceid==resources.resourceid WHERE commodity="%s" GROUP BY time' %commod).fetchall()
-        x, y = self.query_result_to_timeseries(movement, 'sum(quantity)')
-
-        self.export_to_csv(x, y,
-                           '$s sent', commod)
-
-    def export_agent_deployment(self, prototype, which):
-        entry = self.cur.execute('SELECT agentid, entertime FROM agententry WHERE prototype="%s"' %prototype).fetchall()
-        agent_id_list = [i['agentid'] for i in entry]
-        entertime = [i['entertime'] for i in entry]
-        exittime = []
-        for i in agent_id_list:
-            try:
-                exit = self.cur.execute('SELECT agentid, exittime FROM agentexit WHERE agentid=%s' %str(i)).fetchone()
-            except:
-                # agentexit table doesn't exist
-                continue
-            if exit == None:
-                exittime.append(-1)
-            else:
-                exittime.append(exit['exittime'])
-        x = np.array(list(range(self.duration)))
-        y = []
-        if which == 'enter':
-            for time in x:
-                y.append(entertime.count(time))
-        elif which == 'exit':
-            for time in x:
-                y.append(exittime.count(time))
-        elif which == 'deployed':
-            deployed = 0
-            for time in x:
-                deployed += entertime.count(time)
-                deployed -= exittime.count(time)
-                y.append(deployed)
-
-        self.export_to_csv(x, y,
-                           'Number of %s (%s)' %(prototype, which), '%s_%s' %(prototype, which))
-
-
-    def export_timeseries(self, timeseries):
-        
-
-
-
-    ##############################################################################################################################
-
-
-    ##############################################################################################################################
-    ## helper functions
-    def query_result_to_timeseries(self, query_result, col_name,
-                                   time_col_name='time'):
-        x = np.arange(self.duration)
-        y = np.zeros(self.duration)
-        for i in query_result:
-            y[int(i[time_col_name])] += i[col_name]
-        return x, y
-
-
-    def export_to_csv(x, y, ylabel, title, xlabel='Date'):
-        #if self.config_dict['cumulative'].get() == 'True':
-        #   if type(y) is dict:
-        #       new_y = {k: np.cumsum(v) for k, v in y.items()}
-        #       y = new_y
-        #   else:
-        #       y = np.cumsum(y)
-        #! Where to export this to?
-        if type(y) is dict:
-            columns = [str(q) for q in list(y.keys())]
-            s = 'time, %s\n' %', '.join(columns)
-            for indx, val in enumerate(x):
-                s += '%s, %s\n' %(str(x[indx]), ', '.join([str(q[indx]) for q in list(y.values())]))
-        else:
-            s = 'time, quantity\n'
-            for indx, val in enumerate(x):
-                s += '%s, %s\n' %(str(x[indx]), str(y[indx]))
-        with open(filename, 'w') as f:
-            f.write(s)
-
-    ##############################################################################################################################
-
diff --git a/neams/cyclus/cyclus_processor.py b/neams/cyclus/cyclus_processor.py
index 3f22f1c..154a57e 100644
--- a/neams/cyclus/cyclus_processor.py
+++ b/neams/cyclus/cyclus_processor.py
@@ -3,22 +3,36 @@
 import shutil
 import json
 import copy
+import matplotlib.pyplot as plt
 import sqlite3 as lite
+from argparse import ArgumentParser, FileType, Namespace, SUPPRESS
 import sys
-sys.path.append('/Users/4ib/Downloads/Workbench-Darwin/rte/util/')
+here = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(here, os.pardir, 'util'))
 from processor import load_environment, BinnedData, Sheet, Options, Processor
 
 
-class CyclusProcessor(Processor):
-    def __init__(self, sqlite_path, name='cyclus', options=None):
-        super(CyclusProcessor, self).__init__(name, options)
+from cyclus_gui.gui.backend_window import BackendWindow
+from tkinter import *
+
+
+
+class CyclusPostrunner:
+    def __init__(self, sqlite_path):
         #!
         self.get_cursor(sqlite_path)
         self.get_times()
         self.get_id_proto_dict()
         self.el_z_dict = {'H': 1, 'He': 2, 'Li': 3, 'Be': 4, 'B': 5, 'C': 6, 'N': 7, 'O': 8, 'F': 9, 'Ne': 10, 'Na': 11, 'Mg': 12, 'Al': 13, 'Si': 14, 'P': 15, 'S': 16, 'Cl': 17, 'Ar': 18, 'K': 19, 'Ca': 20, 'Sc': 21, 'Ti': 22, 'V': 23, 'Cr': 24, 'Mn': 25, 'Fe': 26, 'Co': 27, 'Ni': 28, 'Cu': 29, 'Zn': 30, 'Ga': 31, 'Ge': 32, 'As': 33, 'Se': 34, 'Br': 35, 'Kr': 36, 'Rb': 37, 'Sr': 38, 'Y': 39, 'Zr': 40, 'Nb': 41, 'Mo': 42, 'Tc': 43, 'Ru': 44, 'Rh': 45, 'Pd': 46, 'Ag': 47, 'Cd': 48, 'In': 49, 'Sn': 50, 'Sb': 51, 'Te': 52, 'I': 53, 'Xe': 54, 'Cs': 55, 'Ba': 56, 'La': 57, 'Ce': 58, 'Pr': 59, 'Nd': 60, 'Pm': 61, 'Sm': 62, 'Eu': 63, 'Gd': 64, 'Tb': 65, 'Dy': 66, 'Ho': 67, 'Er': 68, 'Tm': 69, 'Yb': 70, 'Lu': 71, 'Hf': 72, 'Ta': 73, 'W': 74, 'Re': 75, 'Os': 76, 'Ir': 77, 'Pt': 78, 'Au': 79, 'Hg': 80, 'Tl': 81, 'Pb': 82, 'Bi': 83, 'Po': 84, 'At': 85, 'Rn': 86, 'Fr': 87, 'Ra': 88, 'Ac': 89, 'Th': 90, 'Pa': 91, 'U': 92, 'Np': 93, 'Pu': 94, 'Am': 95, 'Cm': 96, 'Bk': 97, 'Cf': 98, 'Es': 99, 'Fm': 100, 'Md': 101, 'No': 102, 'Lr': 103}
         self.z_el_dict = {v:k for k, v in self.el_z_dict.items()}
+        self.csv_string = 'CYCLUS\n'
+        self.generate_trade_flow('prototype')
+        self.generate_trade_flow('agent')
+        self.generate_commodity_flow()
+        self.generate_agent_flow()
 
+        with open(sqlite_path.replace('.sqlite', '.csv'), 'w') as f:
+            f.write(self.csv_string)
 
     ###########################
     # Auxiliary functions
@@ -131,7 +145,7 @@ def generate_trade_flow(self, groupby):
         # first row: keyword
         # second row: x values (space separated)
         # sender, receiver, commodity, y (space separated)
-        csv_string = 'trade_flow_%s' %groupby + '\n'
+        self.csv_string += 'BEGIN trade_flow_%s' %groupby + '\n'
         if groupby == 'prototype':
             header = ['sender', 'receiver', 'commodity', 'y']
         else: #groupby == 'prototype'
@@ -143,27 +157,26 @@ def generate_trade_flow(self, groupby):
                 if (prev_x != x).all():
                     raise ValueError('The x values are not the same!')
             else:
-                csv_string += ' '.join([str(q) for q in x]) + '\n'
-                csv_string += ','.join(header) + '\n'
+                self.csv_string += ','.join([str(q) for q in x]) + '\n'
+                self.csv_string += ','.join(header) + '\n'
 
             if groupby == 'prototype':
-                csv_string += ','.join([s, r, c]) + ',' + ' '.join([str(q) for q in y]) + '\n'
+                self.csv_string += ','.join([s, r, c]) + ',' + ','.join([str(q) for q in y]) + '\n'
             else: #groupby == 'agent'
                 sender_name = s[:s.index('(')]
                 receiver_name = r[:r.index('(')]
                 sender_id = s[s.index('(')+1:s.index(')')]
                 receiver_id = r[r.index('(')+1:r.index(')')]
-                csv_string += ','.join([sender_name, sender_id, receiver_name, receiver_id, c]) + ',' + ' '.join([str(q) for q in y]) + '\n'
+                self.csv_string += ','.join([sender_name, sender_id, receiver_name, receiver_id, c]) + ',' + ','.join([str(q) for q in y]) + '\n'
 
             prev_x = x
 
-        with open('trade_flow_%s.csv' %groupby, 'w') as f:
-            f.write(csv_string[:-1])
+        self.csv_string += 'END trade_flow_%s\n' %groupby
 
 
     def generate_commodity_flow(self):
         commods = self.cur.execute('SELECT DISTINCT commodity FROM transactions').fetchall()
-        csv_string = 'commodity_flow\n'
+        self.csv_string += 'BEGIN commodity_flow\n'
         header = ['commodity', 'y']
         for indx, i in enumerate(commods):
             commod = i['commodity']
@@ -172,20 +185,19 @@ def generate_commodity_flow(self):
                 if (prev_x != x).all():
                     raise ValueError('The x values are not the same')
             else:
-                csv_string += ' '.join([str(q) for q in x]) + '\n'
-                csv_string += ','.join(header) + '\n'
+                self.csv_string += ','.join([str(q) for q in x]) + '\n'
+                self.csv_string += ','.join(header) + '\n'
 
-            csv_string += commod + ',' + ' '.join([str(q) for q in y])+'\n'
+            self.csv_string += commod + ',' + ','.join([str(q) for q in y])+'\n'
             prev_x = x
 
-        with open('commodity_flow.csv', 'w') as f:
-            f.write(csv_string[:-1])
+        self.csv_string += 'END commodity_flow\n'
 
 
     def generate_agent_flow(self):
         entry = self.cur.execute('SELECT DISTINCT prototype FROM agententry WHERE kind="Facility"').fetchall()
         for which in ['entered', 'exited', 'deployed']:
-            csv_string = 'agent_flow_%s\n' %which
+            self.csv_string += 'BEGIN agent_flow_%s\n' %which
             header = ['prototype', 'y']
             for indx, i in enumerate(entry):
                 proto = i['prototype']
@@ -194,13 +206,13 @@ def generate_agent_flow(self):
                     if (prev_x != x).all():
                         raise ValueError('The x values are not the same')
                 else:
-                    csv_string += ' '.join([str(q) for q in x]) + '\n'
-                    csv_string += ','.join(header) + '\n'
+                    self.csv_string += ','.join([str(q) for q in x]) + '\n'
+                    self.csv_string += ','.join(header) + '\n'
 
-                csv_string += proto + ',' + ' '.join([str(q) for q in y]) + '\n'
+                self.csv_string += proto + ',' + ','.join([str(q) for q in y]) + '\n'
                 prev_x = x
-            with open('agent_flow_%s.csv' %which, 'w') as f:
-                f.write(csv_string[:-1])
+            
+            self.csv_string += 'END agent_flow_%s\n' %which
 
 
 
@@ -314,6 +326,53 @@ def get_inventory_flow(self):
         z=0
 
 
+def read_csv(file, data_type):
+    filestr = file.read()
+    # lol research
+    alpha = filestr.find('BEGIN %s'%data_type) + len('BEGIN %s'%data_type)
+    omega = filestr.find('END %s' %data_type)
+    result = filestr[alpha+1:omega-1]
+    lines = result.split('\n')
+    lines = [q.split(',') for q in lines]
+    x = [float(q) for q in lines[0]]
+
+    # where's y?
+    y_indx = lines[1].index('y')
+    print(y_indx)
+
+    labels = ['_'.join(q[:y_indx]) for q in lines[2:]]
+    ys = [np.array(q[y_indx:], dtype=float) for q in lines[2:]]
+
+    for indx, val in enumerate(ys):
+        plt.plot(x, ys[indx], label=labels[indx])
+
+    plt.title(data_type.replace('_', ' ').capitalize())
+    plt.legend()
+    plt.show()
+
+
+
+def main():
+    parser = ArgumentParser(description='', epilog='Jin Whan Bae')
+    #parser.add_argument('file', type=FileType('r'),
+    #                    help='Cyclus output csv file path')
+    parser.add_argument('file', type=str)
+    parser.add_argument('-data_type', type=str, default=None,
+                        dest='data_type',
+                        help='Type of data to be printed [trade_flow_agent/trade_flow_prototype/commodity_flow/agent_flow_entered/agent_flow_exited/agent_flow_deployed]'
+                        )
+    args = parser.parse_args()
+    if '.csv' in args.file:
+        sqlite = args.file.replace('.csv', '.sqlite')
+        args.file = os.path.dirname(args.file)
+    root = Tk()
+    app = BackendWindow(root, args.file, sqlite)
+    root.mainloop()
+
+
+    #read_csv(args.file, args.data_type)
+    # cyclus_processor = CyclusProcessor('cyclus', args)   
+    
 
-
-
+if __name__ == '__main__':
+    main()
\ No newline at end of file
diff --git a/neams/cyclus/exported_csv/enrichment_reactor_uox_.csv b/neams/cyclus/exported_csv/enrichment_reactor_uox_.csv
new file mode 100644
index 0000000..1c390a1
--- /dev/null
+++ b/neams/cyclus/exported_csv/enrichment_reactor_uox_.csv
@@ -0,0 +1,601 @@
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diff --git a/neams/cyclus/generate_cyclus_sch.pyc b/neams/cyclus/generate_cyclus_sch.pyc
deleted file mode 100644
index ff1f7ee..0000000
Binary files a/neams/cyclus/generate_cyclus_sch.pyc and /dev/null differ
diff --git a/neams/cyclus/out.Try.spf b/neams/cyclus/out.Try.spf
new file mode 100644
index 0000000..9fc036f
--- /dev/null
+++ b/neams/cyclus/out.Try.spf
@@ -0,0 +1,333 @@
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+}
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+    scaletype=linear
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+    scatterstyle="dot"
+    valuesuncertaintyhigh [
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+    valuesuncertaintylow [
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+}
diff --git a/neams/cyclus/out.csv b/neams/cyclus/out.csv
new file mode 100644
index 0000000..df3d08c
--- /dev/null
+++ b/neams/cyclus/out.csv
@@ -0,0 +1,65 @@
+CYCLUS
+BEGIN trade_flow_prototype
+0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599
+sender,receiver,commodity,y
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+END trade_flow_prototype
+BEGIN trade_flow_agent
+0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599
+sender,senderid,receiver,receiverid,commodity,y
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+END trade_flow_agent
+BEGIN commodity_flow
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+END commodity_flow
+BEGIN agent_flow_entered
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+END agent_flow_exited
+BEGIN agent_flow_deployed
+0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599
+prototype,y
+repo,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+reactor,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+depleted_src,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+fuelfab,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+separations,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+enrichment,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+END agent_flow_deployed
diff --git a/neams/cyclus/out.sqlite b/neams/cyclus/out.sqlite
new file mode 100644
index 0000000..78547cb
Binary files /dev/null and b/neams/cyclus/out.sqlite differ
diff --git a/neams/cyclus/test/.ipynb_checkpoints/test-checkpoint.ipynb b/neams/cyclus/test/.ipynb_checkpoints/test-checkpoint.ipynb
new file mode 100644
index 0000000..8a8240f
--- /dev/null
+++ b/neams/cyclus/test/.ipynb_checkpoints/test-checkpoint.ipynb
@@ -0,0 +1,60 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('Users/4ib/Desktop/git/cyclus_gui/neams/cyclus/')\n",
+    "sys.path.append('../')\n",
+    "from cyclus_processor import CyclusPostrunner"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obj = CyclusPostrunner('../out.sqlite')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/neams/cyclus/test/test.ipynb b/neams/cyclus/test/test.ipynb
index 2dab76f..8a8240f 100644
--- a/neams/cyclus/test/test.ipynb
+++ b/neams/cyclus/test/test.ipynb
@@ -9,7 +9,7 @@
     "import sys\n",
     "sys.path.append('Users/4ib/Desktop/git/cyclus_gui/neams/cyclus/')\n",
     "sys.path.append('../')\n",
-    "from cyclus_processor import CyclusProcessor"
+    "from cyclus_processor import CyclusPostrunner"
    ]
   },
   {
@@ -18,35 +18,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "obj = CyclusProcessor('../out.sqlite')"
+    "obj = CyclusPostrunner('../out.sqlite')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "#obj.generate_trade_flow('prototype')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#obj.generate_trade_flow('agent')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "obj.generate_agent_flow()"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -58,21 +38,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.16"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,
diff --git a/neams/cyclus/z.csv b/neams/cyclus/z.csv
new file mode 100644
index 0000000..977ef9f
--- /dev/null
+++ b/neams/cyclus/z.csv
@@ -0,0 +1,10 @@
+0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599
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diff --git a/neams/cyclus_simple.py b/neams/cyclus_simple.py
index 499a615..ddaa7bb 100644
--- a/neams/cyclus_simple.py
+++ b/neams/cyclus_simple.py
@@ -11,6 +11,7 @@
 here = os.path.abspath(os.path.dirname(__file__))
 sys.path.append(os.path.join(here, 'cyclus'))
 import generate_cyclus_sch
+from cyclus_processor import CyclusPostrunner
 
 
 class CyclusRuntimeEnvironment(workbench.WorkbenchRuntimeEnvironment):
@@ -30,6 +31,7 @@ def app_name(self):
     def app_options(self):
         """list of app-specific options"""
         opts = []
+
         # no options
         return opts
 
@@ -41,39 +43,52 @@ def environment(self):
 
 
     def run_args(self, options):
-        args = [options.input]
+        args = []
         args.append('-i')
         args.append(os.path.join(self.temp_xml_path))
         args.append('-o')
         pre, ext = os.path.splitext(options.input)
-        args.append(os.path.join(options.output_directory, pre + '.sqlite'))
+        self.outpath = os.path.join(options.output_directory, pre + '.sqlite')
+        if os.path.exists(self.outpath):
+            self.echo(1, '#!!!!! Previous output file with name %s exists.' %self.outpath)
+            self.echo(1, '#!!!!! NOTE THAT Cyclus does not delete and create a new Sqlite file.')
+            self.echo(1, '#!!!!! It simply adds a new SimId.')
+            self.echo(1, '#!!!!! So you will have one file with multiple simulation results.')
+            
+
+        args.append(self.outpath)
         return args
 
     def prerun(self, options):
         # convert son into xml
         binpath = os.path.join(here, os.pardir, 'bin')
         sonjson_path = os.path.join(binpath, 'sonjson')
+        self.echo(1, "#### Converting SON to XML...   ")
         schema_file_path = os.path.join(here, os.pardir,
                                         'cyclus', 'cyclus.sch')
         p = subprocess.Popen([sonjson_path, schema_file_path, options.input],
                              stdout=subprocess.PIPE)
         json_str = p.stdout.read()
-        temp_json_path = os.path.join(options.working_directory, 'temp.json')
+        temp_json_path = os.path.join(self.working_directory, 'temp.json')
         with open(temp_json_path, 'w') as f:
             f.write(json_str)
         p = subprocess.Popen([self.executable, '--json-to-xml', temp_json_path],
                              stdout=subprocess.PIPE)
         xml_str = generate_cyclus_sch.clean_xml(p.stdout.read())
         pre, ext = os.path.splitext(options.input)
-        self.temp_xml_path = os.path.join(options.working_directory, pre+'.xml')
+        self.temp_xml_path = os.path.join(self.working_directory, pre+'.xml')
         with open(self.temp_xml_path, 'w') as f:
             f.write(xml_str)
+        self.echo(1, "#### Finished converting to XML!")
+        
 
 
-    #def postrun(self, options):
+    def postrun(self, options):
         """actions to perform after the run finishes"""
-        # here, we are going to try to get that sqlite to be a text file
-        
+        # here, we are going to try to get that sqlite to be a csv file
+        self.echo(1, '#### Postrunner on %s' %self.outpath)
+        CyclusPostrunner(self.outpath)
+        self.echo(1, '#### Finished Postrunner')