feat(import): v0.16.0 - Fully implemented series 3 BW-ACH pipeline stablized. #19
+72
-14
@@ -564,21 +564,79 @@ class SeismoDb:
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def query_units(self) -> list[dict]:
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"""
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Return one row per known serial with summary stats:
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last_seen, total_events, total_monitor_entries.
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Return one row per known serial with summary stats.
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Aggregates from BOTH source tables:
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- `events` — populated by every ingest path
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(live ACH, /db/import/blastware_file
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from the series3-watcher forwarder, etc.)
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- `ach_sessions` — only populated by the live ACH server;
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empty for events that came in via the
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BW-importer route.
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Earlier this method only joined on `ach_sessions`, which made
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watcher-forwarded units invisible to the SFM webapp's fleet
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overview even though their events were correctly populated in
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`events`. Now we union the two and surface every serial that
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has activity in either table.
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Fields:
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serial — unit serial number (e.g. "BE11529")
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last_seen — most recent of MAX(events.timestamp)
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and MAX(ach_sessions.session_time)
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total_events — COUNT(*) from `events` (the
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authoritative count regardless of
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ingest path)
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total_monitor_entries — from `ach_sessions`, 0 when absent
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total_sessions — COUNT(*) from `ach_sessions`, 0 when absent
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"""
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with self._connect() as conn:
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rows = conn.execute(
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"""
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SELECT
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s.serial,
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MAX(s.session_time) AS last_seen,
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SUM(s.events_downloaded) AS total_events,
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SUM(s.monitor_entries) AS total_monitor_entries,
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COUNT(*) AS total_sessions
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FROM ach_sessions s
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GROUP BY s.serial
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ORDER BY last_seen DESC
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event_stats = {
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row["serial"]: row
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for row in conn.execute(
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"""
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SELECT serial,
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MAX(timestamp) AS last_event_at,
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COUNT(*) AS total_events
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FROM events
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GROUP BY serial
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""",
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).fetchall()
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return [dict(r) for r in rows]
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}
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session_stats = {
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row["serial"]: row
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for row in conn.execute(
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"""
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SELECT serial,
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MAX(session_time) AS last_session_at,
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SUM(monitor_entries) AS total_monitor_entries,
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COUNT(*) AS total_sessions
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FROM ach_sessions
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GROUP BY serial
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""",
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).fetchall()
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}
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all_serials = set(event_stats) | set(session_stats)
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units = []
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for serial in all_serials:
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e = event_stats.get(serial)
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s = session_stats.get(serial)
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last_event_at = e["last_event_at"] if e else None
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last_session_at = s["last_session_at"] if s else None
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# Prefer whichever timestamp is more recent
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last_seen = max(
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(t for t in (last_event_at, last_session_at) if t),
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default=None,
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)
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units.append({
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"serial": serial,
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"last_seen": last_seen,
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"total_events": e["total_events"] if e else 0,
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"total_monitor_entries": s["total_monitor_entries"] if s else 0,
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"total_sessions": s["total_sessions"] if s else 0,
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})
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# Sort by last_seen desc; serials with no timestamp at all sink to the bottom.
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units.sort(key=lambda u: u.get("last_seen") or "", reverse=True)
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return units
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