#!/usr/bin/env python3
"""Export new-DB builds into the export-format files with offset build IDs.

The Postgres DB was reset after build 40, so the new DB's build IDs restart at
1. This script exports them with remapped IDs so they don't collide with the
existing dataset (builds 1-41 already processed).

Usage:
    uv run --with psycopg2-binary scripts/ticks/00_export_new_db.py 1:42 2:43
    uv run --with psycopg2-binary scripts/ticks/00_export_new_db.py 3:44

Each argument is old_db_id:new_dataset_id. Don't export an in-progress build
(no ended_at in the DB) — wait for it to finish and the spool to be imported.

Safe to re-run: telemetry/position_hf parquets are always overwritten; jsonl
files are checked first and skip if the new_id is already present.
"""
import json
import sys
from pathlib import Path

import psycopg2
import psycopg2.extras
import pyarrow as pa
import pyarrow.parquet as pq

sys.path.insert(0, str(Path(__file__).parent.parent))
from _lib import EXPORTS_DIR

DATABASE_URL = "postgres://inova:inova@localhost:5432/inova"
BATCH_ROWS = 100_000


def get_conn():
    return psycopg2.connect(DATABASE_URL, cursor_factory=psycopg2.extras.RealDictCursor)


def export_telemetry(conn, old_id: int, new_id: int):
    out = EXPORTS_DIR / "telemetry" / f"{new_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()),
    ])

    with conn.cursor() as cur:
        cur.execute(
            "SELECT COUNT(*) AS n FROM telemetry WHERE build_id = %s", (old_id,)
        )
        total = cur.fetchone()["n"]
        if total == 0:
            print(f"  [{old_id}→{new_id}] telemetry: 0 rows in DB, skipping")
            return

        cur.execute(
            "SELECT ts, sensor_id, kind, value FROM telemetry WHERE build_id = %s ORDER BY ts",
            (old_id,)
        )
        written = 0
        with pq.ParquetWriter(out, schema, compression="zstd") as writer:
            while True:
                rows = cur.fetchmany(BATCH_ROWS)
                if not rows:
                    break
                table = pa.table({
                    "ts":        pa.array([r["ts"]        for r in rows], type=pa.timestamp("us", tz="UTC")),
                    "sensor_id": pa.array([r["sensor_id"] for r in rows], type=pa.string()),
                    "kind":      pa.array([r["kind"]      for r in rows], type=pa.string()),
                    "value":     pa.array([float(r["value"]) for r in rows], type=pa.float64()),
                }, schema=schema)
                writer.write_table(table)
                written += len(rows)
                print(f"  [{old_id}→{new_id}] telemetry: {written:,}/{total:,}...", end="\r")
        print(f"  [{old_id}→{new_id}] telemetry: {written:,} rows → {out.name}     ")


def export_position_hf(conn, old_id: int, new_id: int):
    out = EXPORTS_DIR / "position_hf" / f"{new_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_()),
    ])

    with conn.cursor() as cur:
        cur.execute(
            "SELECT ts, x, y, z1, z2, r, has_homed FROM position_hf WHERE build_id = %s ORDER BY ts",
            (old_id,)
        )
        rows = cur.fetchall()

    if not rows:
        print(f"  [{old_id}→{new_id}] position_hf: 0 rows")
        return

    table = pa.table({
        "ts":        pa.array([r["ts"]        for r in rows], type=pa.timestamp("us", tz="UTC")),
        "x":         pa.array([float(r["x"])  for r in rows], type=pa.float64()),
        "y":         pa.array([float(r["y"])  for r in rows], type=pa.float64()),
        "z1":        pa.array([float(r["z1"]) for r in rows], type=pa.float64()),
        "z2":        pa.array([float(r["z2"]) for r in rows], type=pa.float64()),
        "r":         pa.array([float(r["r"])  for r in rows], type=pa.float64()),
        "has_homed": pa.array([bool(r["has_homed"]) for r in rows], type=pa.bool_()),
    }, schema=schema)
    pq.write_table(table, out, compression="zstd")
    print(f"  [{old_id}→{new_id}] position_hf: {len(rows):,} rows → {out.name}")


def append_builds_jsonl(conn, old_id: int, new_id: int):
    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") == new_id:
                        print(f"  [{old_id}→{new_id}] builds.jsonl: id={new_id} already present, skipping")
                        return
                except Exception:
                    pass

    with get_conn() as c, c.cursor() as cur:
        cur.execute("SELECT * FROM builds WHERE id = %s", (old_id,))
        row = cur.fetchone()

    if not row:
        print(f"  [{old_id}→{new_id}] builds.jsonl: build {old_id} not in DB, skipping")
        return

    entry = {
        "id":         new_id,
        "job_name":   row["job_name"],
        "started_at": row["started_at"].isoformat() if row["started_at"] else None,
        "ended_at":   row["ended_at"].isoformat()   if row["ended_at"]   else None,
        "phase":      row["phase"],
        "params":     row["params"],
        "notes":      (row["notes"] or "") + f" [originally DB id={old_id}, remapped to {new_id}]",
    }
    with out.open("a", encoding="utf-8") as f:
        f.write(json.dumps(entry) + "\n")
    print(f"  [{old_id}→{new_id}] builds.jsonl: appended id={new_id} ({entry['job_name']})")


def append_frames_jsonl(conn, old_id: int, new_id: int):
    out = EXPORTS_DIR / "frames.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") == new_id:
                        print(f"  [{old_id}→{new_id}] frames.jsonl: build_id={new_id} already present, skipping")
                        return
                except Exception:
                    pass

    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

    with conn.cursor() as cur:
        cur.execute(
            "SELECT id, ts, kind, path FROM frames WHERE build_id = %s ORDER BY ts",
            (old_id,)
        )
        rows = cur.fetchall()

    if not rows:
        print(f"  [{old_id}→{new_id}] frames.jsonl: 0 frames in DB")
        return

    with out.open("a", encoding="utf-8") as f:
        for i, r in enumerate(rows):
            entry = {
                "id":       max_id + i + 1,
                "build_id": new_id,
                "ts":       r["ts"].isoformat(),
                "kind":     r["kind"],
                "path":     r["path"],
            }
            f.write(json.dumps(entry) + "\n")
    print(f"  [{old_id}→{new_id}] frames.jsonl: appended {len(rows):,} rows")


def append_events_jsonl(conn, old_id: int, new_id: int):
    """Append build_start event so load_build_to_profile_name() picks up the
    print profile name for this build."""
    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") == new_id and r.get("kind") == "build_start":
                        print(f"  [{old_id}→{new_id}] events.jsonl: build_start already present, skipping")
                        return
                except Exception:
                    pass

    with conn.cursor() as cur:
        cur.execute(
            "SELECT * FROM events WHERE build_id = %s AND kind = 'build_start' LIMIT 1",
            (old_id,)
        )
        row = cur.fetchone()

    if not row:
        print(f"  [{old_id}→{new_id}] events.jsonl: no build_start event in DB")
        return

    entry = {
        "id":       -(new_id),
        "build_id": new_id,
        "ts":       row["ts"].isoformat() if row["ts"] else None,
        "kind":     "build_start",
        "message":  row["message"],
        "payload":  row["payload"],
    }
    with out.open("a", encoding="utf-8") as f:
        f.write(json.dumps(entry) + "\n")
    print(f"  [{old_id}→{new_id}] events.jsonl: appended build_start")


def main():
    if len(sys.argv) < 2:
        print(__doc__)
        sys.exit(1)

    mappings: list[tuple[int, int]] = []
    for arg in sys.argv[1:]:
        try:
            old_s, new_s = arg.split(":")
            mappings.append((int(old_s), int(new_s)))
        except ValueError:
            print(f"Bad argument {arg!r} — expected old_id:new_id")
            sys.exit(1)

    conn = get_conn()
    try:
        for old_id, new_id in mappings:
            print(f"\nExporting DB build {old_id} → dataset build {new_id}")
            export_telemetry(conn, old_id, new_id)
            export_position_hf(conn, old_id, new_id)
            append_builds_jsonl(conn, old_id, new_id)
            append_frames_jsonl(conn, old_id, new_id)
            append_events_jsonl(conn, old_id, new_id)
    finally:
        conn.close()

    new_ids = " ".join(str(n) for _, n in mappings)
    print(f"\nDone. Run:  uv run scripts/ticks/01_extract.py {new_ids}")


if __name__ == "__main__":
    main()