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https://github.com/mail-in-a-box/mailinabox.git
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2a0e50c8d4
This adds a new section to the admin panel called "Activity", that supplies charts, graphs and details about messages entering and leaving the host. A new daemon captures details of system mail activity by monitoring the /var/log/mail.log file, summarizing it into a sqllite database that's kept in user-data.
109 lines
2.9 KiB
Python
109 lines
2.9 KiB
Python
from .Timeseries import Timeseries
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from .exceptions import InvalidArgsError
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from .top import select_top
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with open(__file__.replace('.py','.1.sql')) as fp:
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select_1 = fp.read()
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with open(__file__.replace('.py','.2.sql')) as fp:
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select_2 = fp.read()
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with open(__file__.replace('.py','.3.sql')) as fp:
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select_3 = fp.read()
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with open(__file__.replace('.py','.4.sql')) as fp:
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select_4 = fp.read()
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with open(__file__.replace('.py','.5.sql')) as fp:
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select_5 = fp.read()
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def messages_received(conn, args):
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'''
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messages recived from the internet
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'''
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try:
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ts = Timeseries(
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"Messages received from the internet",
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args['start'],
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args['end'],
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args['binsize']
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)
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except KeyError:
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raise InvalidArgsError()
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s_received = ts.add_series('received', 'messages received')
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c = conn.cursor()
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try:
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for row in c.execute(select_1.format(timefmt=ts.timefmt), {
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'start_date':ts.start,
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'end_date':ts.end
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}):
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ts.append_date(row['bin'])
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s_received['values'].append(row['count'])
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# top 10 senders (envelope_from) by message count
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top_senders_by_count = select_top(
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c,
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select_2,
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ts.start,
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ts.end,
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"Top 10 senders by count",
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[ 'email', 'count' ],
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[ 'text/email', 'number/plain' ]
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)
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# top 10 senders (envelope_from) by message size
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top_senders_by_size = select_top(
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c,
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select_3,
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ts.start,
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ts.end,
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"Top 10 senders by size",
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[ 'email', 'size' ],
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[ 'text/email', 'number/size' ]
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)
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# top 10 remote servers/domains (remote hosts) by average spam score
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top_hosts_by_spam_score = select_top(
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c,
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select_4,
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ts.start,
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ts.end,
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"Top servers by average spam score",
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[ 'remote_host', 'avg_spam_score' ],
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[ 'text/hostname', { 'type':'decimal', 'places':2} ]
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)
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# top 10 users receiving the most spam
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top_user_receiving_spam = select_top(
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c,
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select_5,
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ts.start,
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ts.end,
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"Top 10 users receiving spam",
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[
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'rcpt_to',
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'count'
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],
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[
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{ 'type': 'text', 'subtype':'email', 'label':'User' },
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'number/plain'
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]
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)
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finally:
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c.close()
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return {
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'top_senders_by_count': top_senders_by_count,
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'top_senders_by_size': top_senders_by_size,
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'top_hosts_by_spam_score': top_hosts_by_spam_score,
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'top_user_receiving_spam': top_user_receiving_spam,
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'ts_received': ts.asDict(),
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}
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