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"""One-off recovery: build 41 from NVMe spool into export-format files.
Build 41 ran 2026-07-09 21:09 → 2026-07-10 00:55 UTC (~3h45m) but the
Postgres DB was wiped before the spool importer could process it. This script
reads the raw spool files directly and produces the same export-format files
that `export.py` would have written, with build_id=41 throughout.
Outputs (written into the recorder repo's data/exports/):
telemetry/41.parquet — (ts, sensor_id, kind, value)
position_hf/41.parquet — (ts, x, y, z1, z2, r, has_homed)
frames.jsonl — appended rows with build_id=41
builds.jsonl — appended row with id=41
events.jsonl — appended build_start row with build_id=41
Safe to re-run: telemetry and position_hf parquets are overwritten; jsonl
files are checked first and a second run skips appending if id=41 is already
present.
"""
import json
import sys
from pathlib import Path
from datetime import datetime, timezone
import pyarrow as pa
import pyarrow.parquet as pq
def parse_ts(s: str) -> datetime:
"""Parse ISO 8601 string (with tz offset or Z) to a UTC-aware datetime."""
return datetime.fromisoformat(s.replace("Z", "+00:00"))
sys.path.insert(0, str(Path(__file__).parent.parent))
from _lib import EXPORTS_DIR, AGENTIC_ROOT
SPOOL_DIR = Path("/home/ppak/.agentic-sls/spool/41")
BUILD_ID = 41
JOB_NAME = "Unknown 2026_07_09"
def expand_snapshot(snap: dict) -> list[dict]:
"""Mirror telemetry.ts:expand() — one JSON spool line → list of rows."""
ts = snap["respondedAt"]
s = snap["data"]
rows: list[dict] = []
for k in ("x", "y", "z1", "z2", "r"):
rows.append({"ts": ts, "sensor_id": "positions", "kind": f"position.{k}",
"value": float(s["position"][k])})
rows.append({"ts": ts, "sensor_id": "lights", "kind": "lights.enabled",
"value": 1.0 if s["lights"]["isEnabled"] else 0.0})
rows.append({"ts": ts, "sensor_id": "lights", "kind": "lights.count",
"value": float(s["lights"]["lightCount"])})
for e in s["power"]["entries"]:
rows.append({"ts": ts, "sensor_id": e["id"], "kind": "power",
"value": float(e["power"])})
pm = s["power"]["powerman"]
rows.append({"ts": ts, "sensor_id": "powerman", "kind": "power.current",
"value": float(pm["currentPower"])})
rows.append({"ts": ts, "sensor_id": "powerman", "kind": "power.required",
"value": float(pm["requiredPower"])})
rows.append({"ts": ts, "sensor_id": "powerman", "kind": "power.max",
"value": float(pm["maxPower"])})
for e in s["temperature"]["entries"]:
rows.append({"ts": ts, "sensor_id": e["id"], "kind": "temp.current",
"value": float(e["currentTemperature"])})
rows.append({"ts": ts, "sensor_id": e["id"], "kind": "temp.average",
"value": float(e["averageTemperature"])})
tgt = e.get("targetTemperature")
if tgt is not None:
rows.append({"ts": ts, "sensor_id": e["id"], "kind": "temp.target",
"value": float(tgt)})
return rows
def build_telemetry_parquet() -> tuple[str, str]:
"""Expand spool telemetry → data/exports/telemetry/41.parquet.
Returns (first_ts_str, last_ts_str) for builds.jsonl."""
path = SPOOL_DIR / "telemetry.ndjson"
out = EXPORTS_DIR / "telemetry" / f"{BUILD_ID}.parquet"
out.parent.mkdir(parents=True, exist_ok=True)
schema = pa.schema([
pa.field("ts", pa.timestamp("us", tz="UTC")),
pa.field("sensor_id", pa.string()),
pa.field("kind", pa.string()),
pa.field("value", pa.float64()),
])
BATCH = 50_000
first_ts = last_ts = None
bad = 0
total = 0
with pq.ParquetWriter(out, schema, compression="zstd") as writer:
buf: list[dict] = []
def flush():
nonlocal total
if not buf:
return
ts_arr = pa.array([parse_ts(r["ts"]) for r in buf], type=pa.timestamp("us", tz="UTC"))
table = pa.table({
"ts": ts_arr,
"sensor_id": pa.array([r["sensor_id"] for r in buf], type=pa.string()),
"kind": pa.array([r["kind"] for r in buf], type=pa.string()),
"value": pa.array([r["value"] for r in buf], type=pa.float64()),
}, schema=schema)
writer.write_table(table)
total += len(buf)
buf.clear()
with path.open(encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
snap = json.loads(line)
except json.JSONDecodeError:
bad += 1
continue
ts = snap.get("respondedAt")
if first_ts is None:
first_ts = ts
last_ts = ts
try:
rows = expand_snapshot(snap)
except Exception:
bad += 1
continue
buf.extend(rows)
if len(buf) >= BATCH:
flush()
flush()
print(f" telemetry: {total:,} rows, {bad} bad lines → {out.name}")
return first_ts, last_ts
def build_position_parquet():
path = SPOOL_DIR / "position.ndjson"
out = EXPORTS_DIR / "position_hf" / f"{BUILD_ID}.parquet"
out.parent.mkdir(parents=True, exist_ok=True)
schema = pa.schema([
pa.field("ts", pa.timestamp("us", tz="UTC")),
pa.field("x", pa.float64()),
pa.field("y", pa.float64()),
pa.field("z1", pa.float64()),
pa.field("z2", pa.float64()),
pa.field("r", pa.float64()),
pa.field("has_homed", pa.bool_()),
])
rows: list[dict] = []
bad = 0
with path.open(encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
rec = json.loads(line)
d = rec["data"]
rows.append({
"ts": rec["respondedAt"],
"x": float(d["x"]),
"y": float(d["y"]),
"z1": float(d["z1"]),
"z2": float(d["z2"]),
"r": float(d["r"]),
"has_homed": bool(d["hasHomed"]),
})
except Exception:
bad += 1
if rows:
table = pa.table({
"ts": pa.array([parse_ts(r["ts"]) for r in rows], type=pa.timestamp("us", tz="UTC")),
"x": pa.array([r["x"] for r in rows], type=pa.float64()),
"y": pa.array([r["y"] for r in rows], type=pa.float64()),
"z1": pa.array([r["z1"] for r in rows], type=pa.float64()),
"z2": pa.array([r["z2"] for r in rows], type=pa.float64()),
"r": pa.array([r["r"] for r in rows], type=pa.float64()),
"has_homed": pa.array([r["has_homed"] for r in rows], type=pa.bool_()),
}, schema=schema)
pq.write_table(table, out, compression="zstd")
print(f" position_hf: {len(rows):,} rows, {bad} bad lines → {out.name}")
def append_frames_jsonl():
path = SPOOL_DIR / "frames.ndjson"
out = EXPORTS_DIR / "frames.jsonl"
# Idempotency: skip if already appended.
if out.exists():
with out.open(encoding="utf-8") as f:
for line in f:
try:
r = json.loads(line)
if r.get("build_id") == BUILD_ID:
print(f" frames.jsonl: build {BUILD_ID} already present, skipping")
return
except Exception:
pass
# Determine the highest existing frame id so we can assign new ones.
max_id = 0
if out.exists():
with out.open(encoding="utf-8") as f:
for line in f:
try:
r = json.loads(line)
max_id = max(max_id, int(r.get("id", 0)))
except Exception:
pass
rows: list[dict] = []
bad = 0
with path.open(encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
rec = json.loads(line)
rows.append({
"id": max_id + len(rows) + 1,
"build_id": BUILD_ID,
"ts": rec["respondedAt"],
"kind": rec["kind"],
"path": rec["path"],
})
except Exception:
bad += 1
with out.open("a", encoding="utf-8") as f:
for r in rows:
f.write(json.dumps(r) + "\n")
print(f" frames.jsonl: appended {len(rows):,} rows, {bad} bad lines")
def append_builds_jsonl(started_at: str, ended_at: str):
out = EXPORTS_DIR / "builds.jsonl"
if out.exists():
with out.open(encoding="utf-8") as f:
for line in f:
try:
r = json.loads(line)
if r.get("id") == BUILD_ID:
print(f" builds.jsonl: build {BUILD_ID} already present, skipping")
return
except Exception:
pass
row = {
"id": BUILD_ID,
"job_name": JOB_NAME,
"started_at": started_at,
"ended_at": ended_at,
"phase": "recovered",
"params": {"notes": "recovered from NVMe spool after DB reset"},
"notes": "spool-only recovery; job_name is a placeholder",
}
with out.open("a", encoding="utf-8") as f:
f.write(json.dumps(row) + "\n")
print(f" builds.jsonl: appended build {BUILD_ID}")
def append_events_jsonl(started_at: str):
"""Add a build_start event so load_build_to_profile_name() can find
this build. Profile name is unknown; leave null."""
out = EXPORTS_DIR / "events.jsonl"
if out.exists():
with out.open(encoding="utf-8") as f:
for line in f:
try:
r = json.loads(line)
if r.get("build_id") == BUILD_ID and r.get("kind") == "build_start":
print(f" events.jsonl: build_start for {BUILD_ID} already present, skipping")
return
except Exception:
pass
row = {
"id": -41,
"build_id": BUILD_ID,
"ts": started_at,
"kind": "build_start",
"message": JOB_NAME,
"payload": {"printProfileName": None, "notes": "recovered from spool"},
}
with out.open("a", encoding="utf-8") as f:
f.write(json.dumps(row) + "\n")
print(f" events.jsonl: appended build_start for build {BUILD_ID}")
def main():
if not SPOOL_DIR.exists():
print(f"Spool dir not found: {SPOOL_DIR}")
sys.exit(1)
print(f"Recovering build {BUILD_ID} from spool: {SPOOL_DIR}")
started_at, ended_at = build_telemetry_parquet()
build_position_parquet()
append_frames_jsonl()
append_builds_jsonl(started_at, ended_at)
append_events_jsonl(started_at)
print("Done. Run: uv run scripts/ticks/01_extract.py 41")
if __name__ == "__main__":
main()
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