Files
seismo-relay/sfm/database.py
T
claude 03d224ccc3 v0.11.0 — SQLite persistence layer (SeismoDb)
sfm/database.py (new)
- SeismoDb class: three tables keyed by unit serial number
  - ach_sessions: one row per ACH call-home
  - events: one row per triggered event, deduped by (serial, waveform_key)
  - monitor_log: one row per monitoring interval, deduped by (serial, waveform_key)
- WAL mode, per-request connections, silent dedup via UNIQUE constraint
- Query helpers: query_events(), query_monitor_log(), get_sessions(), query_units()
- false_trigger flag on events for future review UI / report filtering

bridges/ach_server.py
- Import SeismoDb; create shared instance at startup pointed at
  bridges/captures/seismo_relay.db
- After each call-home: insert_events() + insert_monitor_log() + insert_ach_session()
- DB failures logged as warnings, never abort the session

sfm/server.py
- Import SeismoDb; lazy singleton via _get_db()
- New DB read endpoints: GET /db/units, /db/events, /db/monitor_log, /db/sessions
- PATCH /db/events/{id}/false_trigger for manual review flagging

CLAUDE.md / CHANGELOG.md
- Document DB schema, SFM DB endpoints, architecture decision (unit-keyed only)
- Version bump to v0.11.0

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 00:45:38 -04:00

407 lines
16 KiB
Python

"""
sfm/database.py — SQLite persistence layer for seismo-relay.
Three tables, all keyed by unit serial number:
ach_sessions — one row per inbound ACH call-home
events — one row per triggered waveform event (deduped by serial+key)
monitor_log — one row per monitoring interval (deduped by serial+key)
The DB file lives at:
<output_dir>/seismo_relay.db (default: bridges/captures/seismo_relay.db)
Usage
-----
from sfm.database import SeismoDb
db = SeismoDb("bridges/captures/seismo_relay.db")
# Write a call-home session
session_id = db.insert_ach_session(serial="BE11529", peer="1.2.3.4:51920",
events_downloaded=3, monitor_entries=2,
duration_seconds=47.3)
# Write events (silently skips duplicates)
db.insert_events(events, serial="BE11529", session_id=session_id)
# Write monitor log entries
db.insert_monitor_log(entries, session_id=session_id)
# Query
rows = db.query_events(serial="BE11529", from_dt=datetime(...), to_dt=datetime(...))
"""
from __future__ import annotations
import datetime
import logging
import sqlite3
import uuid
from pathlib import Path
from typing import Optional
from minimateplus.models import Event, MonitorLogEntry
log = logging.getLogger("sfm.database")
# ── Schema ─────────────────────────────────────────────────────────────────────
_SCHEMA = """
PRAGMA journal_mode = WAL;
PRAGMA foreign_keys = ON;
CREATE TABLE IF NOT EXISTS ach_sessions (
id TEXT PRIMARY KEY, -- UUID
serial TEXT NOT NULL,
session_time TEXT NOT NULL, -- ISO-8601 UTC
peer TEXT, -- "ip:port"
events_downloaded INTEGER NOT NULL DEFAULT 0,
monitor_entries INTEGER NOT NULL DEFAULT 0,
duration_seconds REAL,
created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now'))
);
CREATE INDEX IF NOT EXISTS idx_ach_sessions_serial ON ach_sessions(serial);
CREATE INDEX IF NOT EXISTS idx_ach_sessions_time ON ach_sessions(session_time);
CREATE TABLE IF NOT EXISTS events (
id TEXT PRIMARY KEY, -- UUID
serial TEXT NOT NULL,
waveform_key TEXT NOT NULL, -- 8-hex device key (dedup field)
session_id TEXT, -- FK → ach_sessions.id
timestamp TEXT, -- ISO-8601 local time from device
tran_ppv REAL, -- in/s
vert_ppv REAL, -- in/s
long_ppv REAL, -- in/s
peak_vector_sum REAL, -- in/s
mic_ppv REAL, -- psi or dB depending on setup
project TEXT,
client TEXT,
operator TEXT,
sensor_location TEXT,
sample_rate INTEGER,
record_type TEXT, -- "single_shot" | "continuous"
false_trigger INTEGER NOT NULL DEFAULT 0, -- 0=no, 1=yes (manual flag)
created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
UNIQUE(serial, waveform_key)
);
CREATE INDEX IF NOT EXISTS idx_events_serial ON events(serial);
CREATE INDEX IF NOT EXISTS idx_events_timestamp ON events(timestamp);
CREATE INDEX IF NOT EXISTS idx_events_session ON events(session_id);
CREATE TABLE IF NOT EXISTS monitor_log (
id TEXT PRIMARY KEY, -- UUID
serial TEXT NOT NULL,
waveform_key TEXT NOT NULL, -- 8-hex device key (dedup field)
session_id TEXT, -- FK → ach_sessions.id
start_time TEXT, -- ISO-8601
stop_time TEXT, -- ISO-8601
duration_seconds REAL,
geo_threshold_ips REAL, -- in/s
created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
UNIQUE(serial, waveform_key)
);
CREATE INDEX IF NOT EXISTS idx_monitor_log_serial ON monitor_log(serial);
CREATE INDEX IF NOT EXISTS idx_monitor_log_start ON monitor_log(start_time);
CREATE INDEX IF NOT EXISTS idx_monitor_log_session ON monitor_log(session_id);
"""
# ── SeismoDb class ─────────────────────────────────────────────────────────────
class SeismoDb:
"""
Thin SQLite wrapper for seismo-relay persistence.
Thread-safe: each call opens, uses, and closes a connection with
check_same_thread=False and WAL mode enabled. For the ACH server's
single-writer / occasional-reader pattern this is more than sufficient.
"""
def __init__(self, db_path: str | Path) -> None:
self.db_path = Path(db_path)
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self._init_schema()
log.info("SeismoDb initialised at %s", self.db_path)
# ── Internal helpers ───────────────────────────────────────────────────────
def _connect(self) -> sqlite3.Connection:
conn = sqlite3.connect(str(self.db_path), check_same_thread=False)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA journal_mode = WAL")
conn.execute("PRAGMA foreign_keys = ON")
return conn
def _init_schema(self) -> None:
with self._connect() as conn:
conn.executescript(_SCHEMA)
@staticmethod
def _iso(dt: Optional[datetime.datetime]) -> Optional[str]:
return dt.isoformat() if dt is not None else None
@staticmethod
def _new_id() -> str:
return str(uuid.uuid4())
# ── ACH sessions ──────────────────────────────────────────────────────────
def insert_ach_session(
self,
*,
serial: str,
peer: Optional[str] = None,
events_downloaded: int = 0,
monitor_entries: int = 0,
duration_seconds: Optional[float] = None,
session_time: Optional[datetime.datetime] = None,
) -> str:
"""Insert a new ACH session row. Returns the new session UUID."""
sid = self._new_id()
ts = self._iso(session_time or datetime.datetime.utcnow())
with self._connect() as conn:
conn.execute(
"""
INSERT INTO ach_sessions
(id, serial, session_time, peer,
events_downloaded, monitor_entries, duration_seconds)
VALUES (?, ?, ?, ?, ?, ?, ?)
""",
(sid, serial, ts, peer,
events_downloaded, monitor_entries, duration_seconds),
)
log.debug("ach_session inserted: %s serial=%s events=%d monitor=%d",
sid, serial, events_downloaded, monitor_entries)
return sid
def get_sessions(
self,
serial: Optional[str] = None,
limit: int = 50,
) -> list[dict]:
"""Return recent ACH sessions, newest first."""
with self._connect() as conn:
if serial:
rows = conn.execute(
"SELECT * FROM ach_sessions WHERE serial=? "
"ORDER BY session_time DESC LIMIT ?",
(serial, limit),
).fetchall()
else:
rows = conn.execute(
"SELECT * FROM ach_sessions ORDER BY session_time DESC LIMIT ?",
(limit,),
).fetchall()
return [dict(r) for r in rows]
# ── Events ────────────────────────────────────────────────────────────────
def insert_events(
self,
events: list[Event],
*,
serial: str,
session_id: Optional[str] = None,
) -> tuple[int, int]:
"""
Insert triggered events. Silently skips duplicates (serial+waveform_key).
Returns (inserted, skipped).
"""
inserted = skipped = 0
with self._connect() as conn:
for ev in events:
key = ev._waveform_key.hex() if ev._waveform_key else None
if key is None:
skipped += 1
continue
ts = None
if ev.timestamp:
try:
ts = datetime.datetime(
ev.timestamp.year, ev.timestamp.month, ev.timestamp.day,
ev.timestamp.hour, ev.timestamp.minute, ev.timestamp.second,
).isoformat()
except Exception:
ts = str(ev.timestamp)
pv = ev.peak_values
pi = ev.project_info
try:
conn.execute(
"""
INSERT INTO events
(id, serial, waveform_key, session_id, timestamp,
tran_ppv, vert_ppv, long_ppv, peak_vector_sum, mic_ppv,
project, client, operator, sensor_location,
sample_rate, record_type)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
self._new_id(), serial, key, session_id, ts,
pv.tran if pv else None,
pv.vert if pv else None,
pv.long if pv else None,
pv.peak_vector_sum if pv else None,
pv.micl if pv else None,
pi.project if pi else None,
pi.client if pi else None,
pi.operator if pi else None,
pi.sensor_location if pi else None,
ev.sample_rate,
ev.record_type,
),
)
inserted += 1
except sqlite3.IntegrityError:
skipped += 1
log.debug("insert_events serial=%s inserted=%d skipped=%d",
serial, inserted, skipped)
return inserted, skipped
def query_events(
self,
serial: Optional[str] = None,
from_dt: Optional[datetime.datetime] = None,
to_dt: Optional[datetime.datetime] = None,
false_trigger: Optional[bool] = None,
limit: int = 500,
offset: int = 0,
) -> list[dict]:
"""Query events with optional filters. Returns newest first."""
clauses: list[str] = []
params: list = []
if serial:
clauses.append("serial = ?")
params.append(serial)
if from_dt:
clauses.append("timestamp >= ?")
params.append(from_dt.isoformat())
if to_dt:
clauses.append("timestamp <= ?")
params.append(to_dt.isoformat())
if false_trigger is not None:
clauses.append("false_trigger = ?")
params.append(1 if false_trigger else 0)
where = ("WHERE " + " AND ".join(clauses)) if clauses else ""
params += [limit, offset]
with self._connect() as conn:
rows = conn.execute(
f"SELECT * FROM events {where} "
f"ORDER BY timestamp DESC LIMIT ? OFFSET ?",
params,
).fetchall()
return [dict(r) for r in rows]
def set_false_trigger(self, event_id: str, value: bool) -> bool:
"""Set or clear the false_trigger flag on an event. Returns True if found."""
with self._connect() as conn:
cur = conn.execute(
"UPDATE events SET false_trigger=? WHERE id=?",
(1 if value else 0, event_id),
)
return cur.rowcount > 0
# ── Monitor log ───────────────────────────────────────────────────────────
def insert_monitor_log(
self,
entries: list[MonitorLogEntry],
*,
session_id: Optional[str] = None,
) -> tuple[int, int]:
"""
Insert monitor log entries. Silently skips duplicates (serial+waveform_key).
Returns (inserted, skipped).
"""
inserted = skipped = 0
with self._connect() as conn:
for e in entries:
try:
conn.execute(
"""
INSERT INTO monitor_log
(id, serial, waveform_key, session_id,
start_time, stop_time, duration_seconds,
geo_threshold_ips)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""",
(
self._new_id(),
e.serial or "",
e.key,
session_id,
self._iso(e.start_time),
self._iso(e.stop_time),
e.duration_seconds,
e.geo_threshold_ips,
),
)
inserted += 1
except sqlite3.IntegrityError:
skipped += 1
log.debug("insert_monitor_log inserted=%d skipped=%d", inserted, skipped)
return inserted, skipped
def query_monitor_log(
self,
serial: Optional[str] = None,
from_dt: Optional[datetime.datetime] = None,
to_dt: Optional[datetime.datetime] = None,
limit: int = 500,
offset: int = 0,
) -> list[dict]:
"""Query monitor log entries with optional filters. Returns newest first."""
clauses: list[str] = []
params: list = []
if serial:
clauses.append("serial = ?")
params.append(serial)
if from_dt:
clauses.append("start_time >= ?")
params.append(from_dt.isoformat())
if to_dt:
clauses.append("start_time <= ?")
params.append(to_dt.isoformat())
where = ("WHERE " + " AND ".join(clauses)) if clauses else ""
params += [limit, offset]
with self._connect() as conn:
rows = conn.execute(
f"SELECT * FROM monitor_log {where} "
f"ORDER BY start_time DESC LIMIT ? OFFSET ?",
params,
).fetchall()
return [dict(r) for r in rows]
# ── Fleet overview ────────────────────────────────────────────────────────
def query_units(self) -> list[dict]:
"""
Return one row per known serial with summary stats:
last_seen, total_events, total_monitor_entries.
"""
with self._connect() as conn:
rows = conn.execute(
"""
SELECT
s.serial,
MAX(s.session_time) AS last_seen,
SUM(s.events_downloaded) AS total_events,
SUM(s.monitor_entries) AS total_monitor_entries,
COUNT(*) AS total_sessions
FROM ach_sessions s
GROUP BY s.serial
ORDER BY last_seen DESC
"""
).fetchall()
return [dict(r) for r in rows]