settled-reach/tooling/fill-missing-globes.py

#!/usr/bin/env python3
"""
One-shot script: fill missing globe.png files in the wiki by copying a donor
globe from the same planet_class + body_type pool.

Donor selection:
  - Hash body_id to pick deterministically from the pool
  - Track used donors per system to avoid visual repetition
  - Skip oort_cloud and asteroid_belt (handled by generic images)

Run once, then the files are baked into the wiki like authored content.

Usage:
    python3 tooling/fill-missing-globes.py [--dry-run]
"""

import hashlib
import shutil
import sqlite3
import sys
from collections import defaultdict
from pathlib import Path

REPO_ROOT = Path(__file__).resolve().parent.parent
WIKI_ROOT = REPO_ROOT / "wiki" / "star-systems"
DB_PATH = REPO_ROOT / "server" / "data" / "systems.db"

GENERIC_TYPES = {"oort_cloud", "asteroid_belt"}
GENERIC_DIR = WIKI_ROOT / "_generics"


def globe_path(system_id: str, body_id: str) -> Path:
    sys_dir = system_id.replace(" ", "-")
    return WIKI_ROOT / sys_dir / "bodies" / body_id / "globe.png"


def body_hash(body_id: str) -> int:
    return int(hashlib.sha256(body_id.encode()).hexdigest()[:8], 16)


def main():
    dry_run = "--dry-run" in sys.argv

    conn = sqlite3.connect(str(DB_PATH))
    conn.row_factory = sqlite3.Row

    bodies = conn.execute(
        "SELECT body_id, system_id, body_type, planet_class FROM bodies"
    ).fetchall()

    # Build pools of existing globes by (body_type, planet_class)
    pools: dict[tuple[str, str], list[Path]] = defaultdict(list)
    missing: list[dict] = []

    for b in bodies:
        bid = b["body_id"]
        bt = b["body_type"] or "unknown"
        pc = (b["planet_class"] or "unknown").lower()
        path = globe_path(b["system_id"], bid)

        if bt in GENERIC_TYPES:
            # Handled by generic images, not donors
            if not path.exists():
                generic = GENERIC_DIR / bt / "globe.png"
                if generic.exists():
                    missing.append({
                        "body_id": bid,
                        "system_id": b["system_id"],
                        "body_type": bt,
                        "planet_class": pc,
                        "donor_path": generic,
                        "source": "generic",
                    })
            continue

        if path.exists():
            pools[(bt, pc)].append(path)
        else:
            missing.append({
                "body_id": bid,
                "system_id": b["system_id"],
                "body_type": bt,
                "planet_class": pc,
                "donor_path": None,
                "source": "donor",
            })

    # For each missing body, pick a donor
    used_per_system: dict[str, set[str]] = defaultdict(set)
    assigned = 0
    skipped = 0
    log_lines = []

    for m in missing:
        if m["source"] == "generic":
            # Generic image copy
            target = globe_path(m["system_id"], m["body_id"])
            if dry_run:
                log_lines.append(
                    f"[GENERIC] {m['body_id']} <- {m['donor_path'].name} ({m['body_type']})"
                )
            else:
                target.parent.mkdir(parents=True, exist_ok=True)
                shutil.copy2(m["donor_path"], target)
                log_lines.append(
                    f"[GENERIC] {m['body_id']} <- {m['donor_path']}"
                )
            assigned += 1
            continue

        bt = m["body_type"]
        pc = m["planet_class"]
        key = (bt, pc)

        pool = pools.get(key, [])
        if not pool:
            # Try broader match: same body_type, any class
            for (pbt, ppc), p in pools.items():
                if pbt == bt and p:
                    pool = p
                    break

        if not pool:
            log_lines.append(
                f"[SKIP] {m['body_id']} — no donors for {bt}/{pc}"
            )
            skipped += 1
            continue

        # Pick donor by hash, avoid repeats in same system
        sys_id = m["system_id"]
        h = body_hash(m["body_id"])
        pool_size = len(pool)
        used = used_per_system[sys_id]

        donor = None
        for offset in range(pool_size):
            candidate = pool[(h + offset) % pool_size]
            candidate_key = str(candidate)
            if candidate_key not in used:
                donor = candidate
                used.add(candidate_key)
                break

        if donor is None:
            # All donors used in this system — allow repeat from least-used
            donor = pool[h % pool_size]

        target = globe_path(sys_id, m["body_id"])
        donor_bid = donor.parent.name

        if dry_run:
            log_lines.append(
                f"[DONOR] {m['body_id']} <- {donor_bid} ({bt}/{pc})"
            )
        else:
            target.parent.mkdir(parents=True, exist_ok=True)
            shutil.copy2(donor, target)
            log_lines.append(
                f"[DONOR] {m['body_id']} <- {donor_bid} ({bt}/{pc})"
            )
        assigned += 1

    conn.close()

    # Report
    prefix = "[DRY RUN] " if dry_run else ""
    print(f"{prefix}Assigned: {assigned}, Skipped: {skipped}")
    print()
    for line in log_lines:
        print(line)


if __name__ == "__main__":
    main()