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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.
51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
import datetime
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from .DictCache import DictCache
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#
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# because of the table scan (select_2 below), cache stats for 5
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# minutes
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#
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last_stats = DictCache(datetime.timedelta(minutes=5))
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def clear_cache():
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last_stats.reset()
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def capture_db_stats(conn):
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stats = last_stats.get()
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if stats:
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return stats
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select_1 = 'SELECT min(connect_time) AS `min`, max(connect_time) AS `max`, count(*) AS `count` FROM mta_connection'
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# table scan
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select_2 = 'SELECT disposition, count(*) AS `count` FROM mta_connection GROUP BY disposition'
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c = conn.cursor()
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stats = {
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# all times are in this format: "YYYY-MM-DD HH:MM:SS" (utc)
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'date_parse_format': '%Y-%m-%d %H:%M:%S'
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}
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try:
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row = c.execute(select_1).fetchone()
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stats['mta_connect'] = {
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'connect_time': {
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'min': row['min'],
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'max': row['max'], # YYYY-MM-DD HH:MM:SS (utc)
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},
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'count': row['count'],
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'disposition': {}
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}
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for row in c.execute(select_2):
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stats['mta_connect']['disposition'][row['disposition']] = {
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'count': row['count']
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}
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finally:
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c.close()
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last_stats.set(stats)
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return stats
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