#!/usr/bin/env python3
"""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()