add mlsstats example

hack/bin/mlsstats.py

@@ -0,0 +1,91 @@
+#!/usr/bin/env python3
+
+import csv
+
+def team_conversations():
+    total = {'proteus': 0, 'mixed': 0, 'mls': 0}
+    teams = {}
+    with open('conv-group-team-protocol.csv') as csv_file:
+        csv_reader = csv.DictReader(csv_file, delimiter=',')
+
+        for row in csv_reader:
+            team = row['team']
+            protocol = row['protocol']
+
+            if protocol not in ['proteus', 'mixed', 'mls']:
+                protocol = 'proteus'
+            if protocol not in total:
+                total[protocol] = 0
+            if team not in teams:
+                teams[team] = {'proteus': 0, 'mixed': 0, 'mls': 0}
+
+            total[protocol] += 1
+            teams[team][protocol] += 1
+
+    for name, team in teams.values():
+        proteus = team['proteus']
+        mixed = team['mixed']
+        mls = team['mls']
+        print(f'In team {name}, conversations ' +
+              f'in Proteus are {proteus}, ' +
+              f'in Mixed are {mixed}, and ' +
+              f'in MLS are {mls}.')
+
+    proteus = total['proteus']
+    mixed = total['mixed']
+    mls = total['mls']
+    print(f'In total, conversations in Proteus are {proteus}, '+
+          f'in Mixed are {mixed}, and in MLS are {mls}.')
+
+def conversation_clients():
+    with open('conv-group-team-protocol.csv') as csv_file:
+        conv = {}
+        csv_reader = csv.DictReader(csv_file, delimiter=',')
+        for row in csv_reader:
+            conv[row['group']] = row['conversation']
+
+    with open('domain-user-client-group.csv') as csv_file:
+        mls_clients = {}
+        csv_reader = csv.DictReader(csv_file, delimiter=',')
+        for row in csv_reader:
+            group = row['group']
+            if group in conv:
+                conversation = conv[group]
+                user = row['user']
+                if conversation not in mls_clients or user not in mls_clients[conversation]:
+                    mls_clients[conversation] = {user: 0}
+                mls_clients[conversation][user] += 1
+
+    with open('user-client.csv') as csv_file:
+        user_clients = {}
+        csv_reader = csv.DictReader(csv_file, delimiter=',')
+        for row in csv_reader:
+            user = row['user']
+            if user not in user_clients:
+                user_clients[user] = 0
+            user_clients[user] += 1
+
+    with open('user-conv.csv') as csv_file:
+        conv_clients = {}
+        csv_reader = csv.DictReader(csv_file, delimiter=',')
+        for row in csv_reader:
+            user = row['user']
+            conversation = row['conversation']
+            if conversation not in conv_clients:
+                conv_clients[conversation] = {'proteus': 0, 'mls': 0}
+            if conversation in mls_clients and user in mls_clients[conversation]:
+                mls = mls_clients[conversation][user]
+            else:
+                mls = 0
+            if user in user_clients:
+                proteus = user_clients[user] - mls
+            else:
+                proteus = 0
+            conv_clients[conversation]['proteus'] += proteus
+            conv_clients[conversation]['mls'] += mls
+
+    for name, conversation in conv_clients.items():
+        proteus = conversation['proteus']
+        proteus = conversation['mls']
+        print(f'In conversation {name}, there are ' +
+              f'{proteus} Proteus clients and {mls} MLS clients.')