settled-reach/tooling/domains/ledger/economy_import/bodies.py

"""Body-attribute backfills: body_radius_km (D-204) and axial_tilt_deg (T-1024)."""

import hashlib
import sqlite3
from pathlib import Path

from .paths import WIKI_STAR_SYSTEMS
from tooling.core import console


def populate_body_radius_km(conn: sqlite3.Connection, dry_run: bool) -> int:
    """Populate body_radius_km column from planet_class fallback (D-204, #910).

    Applies the fallback lookup table to rows where body_radius_km IS NULL.
    Does not overwrite rows where body_radius_km is already set (authoritative data).

    Fallback values (km):
        super_earth   -> 8000
        earth_like    -> 6371
        earth         -> 6371  (alternate spelling)
        sub_earth     -> 4500
        ocean_world   -> 6500
        arid          -> 5800
        frozen        -> 4500
        ice_world     -> 3000
        barren        -> 4500
        volcanic      -> 5500
        gas_giant     -> 0 (no settlements, skip)
        moon          -> 1737
        other/unknown -> 6371 (Earth default)
    """
    PLANET_CLASS_RADIUS = {
        "super_earth": 8000.0,
        "earth_like":  6371.0,
        "earth":       6371.0,
        "sub_earth":   3500.0,
        "ocean_world": 6500.0,
        "arid":        5800.0,
        "frozen":      3500.0,
        "ice_world":   3000.0,
        "barren":      3500.0,
        "volcanic":    5500.0,
        "temperate":   6371.0,
        "moon":        1737.0,
    }
    DEFAULT_RADIUS = 6371.0
    SKIP_RADIUS_TYPES = {"oort_cloud", "asteroid_belt"}

    GAS_GIANT_RADIUS = {
        "gas_giant": 50000.0,
        "ice_giant": 25000.0,
    }
    GAS_GIANT_DEFAULT = 45000.0
    GAS_GIANT_SCATTER = 0.20  # ±20%

    rows = conn.execute(
        "SELECT body_id, planet_class, body_type, mass_class FROM bodies WHERE body_radius_km IS NULL"
    ).fetchall()

    SCATTER_FRACTION = 0.15  # ±15% for rocky bodies

    updates: list[tuple[float, str]] = []
    for body_id, planet_class, body_type, mass_class in rows:
        if body_type in SKIP_RADIUS_TYPES:
            continue

        h = int(hashlib.sha256(body_id.encode()).hexdigest()[:8], 16)
        scatter_val = (h / 0xFFFFFFFF) * 2.0 - 1.0  # [-1.0, 1.0]

        if body_type == "gas_giant":
            mc = (mass_class or "").lower()
            base_radius = GAS_GIANT_RADIUS.get(mc, GAS_GIANT_DEFAULT)
            radius = round(base_radius * (1.0 + scatter_val * GAS_GIANT_SCATTER), 1)
        elif body_type == "moon":
            base_radius = 1400.0
            scatter_frac = 0.86     # ±86% → ~196–2604 km
            radius = round(base_radius * (1.0 + scatter_val * scatter_frac), 1)
        else:
            base_radius = PLANET_CLASS_RADIUS.get(
                (planet_class or "").lower(), DEFAULT_RADIUS
            )
            radius = round(base_radius * (1.0 + scatter_val * SCATTER_FRACTION), 1)
        updates.append((radius, body_id))

    if not dry_run and updates:
        conn.executemany(
            "UPDATE bodies SET body_radius_km = ? WHERE body_id = ?", updates
        )

    return len(updates)


def populate_axial_tilt_deg(conn: sqlite3.Connection, dry_run: bool) -> int:
    """Populate bodies.axial_tilt_deg from planet-gen body-def frontmatter (T-1024).

    Reads wiki/star-systems/*/bodies/*/index.md YAML frontmatter and extracts
    ``orbit.axial_tilt_deg``. Only updates rows where axial_tilt_deg IS NULL
    (preserves any future authoritative column writes).

    Source: body_definition_parser.py writes ``orbit.axial_tilt_deg`` into each
    body's index.md during the planet-gen batch run. This function mirrors
    ``populate_body_radius_km`` in structure.
    """
    import yaml  # stdlib-compatible subset via PyYAML if available, else manual parse

    def _parse_frontmatter_yaml(text: str) -> dict:
        """Extract YAML frontmatter block from a markdown file."""
        lines = text.split("\n")
        if not lines or lines[0].strip() != "---":
            return {}
        end_idx = None
        for i, line in enumerate(lines[1:], 1):
            if line.strip() == "---":
                end_idx = i
                break
        if end_idx is None:
            return {}
        fm_text = "\n".join(lines[1:end_idx])
        try:
            result = yaml.safe_load(fm_text)
            return result if isinstance(result, dict) else {}
        except Exception:
            return {}

    # Check if yaml is available; if not, use manual extraction.
    try:
        import yaml as _yaml_check  # noqa: F401
        has_yaml = True
    except ImportError:
        has_yaml = False

    if not has_yaml:
        # Fallback: manual extraction of axial_tilt_deg from YAML frontmatter.
        # Scans for "  axial_tilt_deg: <value>" under an "orbit:" block.
        def _parse_frontmatter_manual(text: str) -> dict:
            lines = text.split("\n")
            if not lines or lines[0].strip() != "---":
                return {}
            in_orbit = False
            result: dict = {}
            for line in lines[1:]:
                if line.strip() == "---":
                    break
                stripped = line.strip()
                if stripped == "orbit:":
                    in_orbit = True
                    continue
                if in_orbit:
                    # Detect leaving the orbit block (non-indented key).
                    if line and not line.startswith(" ") and not line.startswith("\t"):
                        in_orbit = False
                    elif stripped.startswith("axial_tilt_deg:"):
                        _, _, val = stripped.partition(":")
                        try:
                            result["axial_tilt_deg"] = float(val.strip())
                        except ValueError:
                            pass
            return result

        def _parse_frontmatter_yaml(text: str) -> dict:  # type: ignore[misc]
            return _parse_frontmatter_manual(text)

    # Find all body index.md files.
    body_dir_pattern = WIKI_STAR_SYSTEMS / "*" / "bodies" / "*" / "index.md"
    import glob as _glob
    body_files = sorted(_glob.glob(str(body_dir_pattern)))

    # Build body_id → axial_tilt_deg mapping from frontmatter.
    tilt_map: dict[str, float] = {}
    for fpath in body_files:
        try:
            text = Path(fpath).read_text(encoding="utf-8")
        except OSError:
            continue
        fm = _parse_frontmatter_yaml(text)
        if not isinstance(fm, dict):
            continue
        body_id = fm.get("id")
        orbit = fm.get("orbit", {})
        if isinstance(orbit, dict):
            tilt = orbit.get("axial_tilt_deg")
        else:
            tilt = None
        if body_id and tilt is not None:
            try:
                tilt_map[str(body_id)] = float(tilt)
            except (TypeError, ValueError):
                pass

    # Get all bodies where axial_tilt_deg IS NULL and body_id is in tilt_map.
    rows = conn.execute(
        "SELECT body_id FROM bodies WHERE axial_tilt_deg IS NULL"
    ).fetchall()

    updates: list[tuple[float, str]] = []
    for (body_id,) in rows:
        if body_id in tilt_map:
            updates.append((tilt_map[body_id], body_id))

    if not dry_run and updates:
        conn.executemany(
            "UPDATE bodies SET axial_tilt_deg = ? WHERE body_id = ?", updates
        )

    return len(updates)


def populate_biosphere_class(conn: sqlite3.Connection, dry_run: bool) -> int:
    """Populate bodies.biosphere_class (D-247, T-1085).

    Reads ``environment.biosphere_class`` from each body's index.md frontmatter (the
    AUTHORED override) and, where absent, applies the D-247 two-gate default from the
    body's atmosphere / hydrosphere / planet_class + the system's
    ``economic_base_primary``. Recomputes for ALL bodies each run (the value is fully
    determined by frontmatter + the default, with no other authoritative writer to
    preserve), so an edited override re-applies on the next regen.

    Authored input, not seed entropy (D-247): the default is a function of other
    AUTHORED fields, and explicit frontmatter always wins.
      - Gate 0 (habitability — independent of SETTLEMENT, since D-247 holds worlds were
        alive before humans): no atmosphere or an explicitly ``barren`` planet_class ->
        Airless; ``thin`` atmosphere -> TerraformedSterile if inhabited (engineered),
        else Airless (marginal natural); real atmosphere + open liquid water -> Alive ->
        Gate 1; real atmosphere but no liquid water -> Airless (sealed / marginal).
      - Gate 1 (Compatible vs Mirror): agriculture/service exporters -> Compatible;
        penal/extraction/manufacturing -> Mirror; the neutral remainder -> a stable
        body_id split toward the ~50/50 design target (canon worlds carry explicit
        frontmatter overrides, so they never depend on this split).
    """
    import glob as _glob
    import hashlib

    try:
        import yaml as _yaml

        _has_yaml = True
    except ImportError:
        _has_yaml = False

    def _biosphere_from_frontmatter(text: str) -> tuple[str | None, str | None]:
        """Return ``(body_id, biosphere_class)`` from a body's frontmatter, or (None, None)."""
        lines = text.split("\n")
        if not lines or lines[0].strip() != "---":
            return (None, None)
        end = None
        for i, line in enumerate(lines[1:], 1):
            if line.strip() == "---":
                end = i
                break
        if end is None:
            return (None, None)
        block_lines = lines[1:end]
        if _has_yaml:
            try:
                fm = _yaml.safe_load("\n".join(block_lines))
            except Exception:
                fm = None
            if isinstance(fm, dict):
                env = fm.get("environment")
                bc = env.get("biosphere_class") if isinstance(env, dict) else None
                return (str(fm.get("id")) if fm.get("id") else None, str(bc) if bc else None)
            return (None, None)
        # Manual fallback: scan `id:` and `environment.biosphere_class`.
        body_id = None
        bc = None
        in_env = False
        for line in block_lines:
            stripped = line.strip()
            if stripped.startswith("id:"):
                body_id = stripped.partition(":")[2].strip() or None
            if stripped == "environment:":
                in_env = True
                continue
            if in_env:
                if line and not line[0].isspace():
                    in_env = False
                elif stripped.startswith("biosphere_class:"):
                    bc = stripped.partition(":")[2].strip() or None
        return (body_id, bc)

    # 1. Authored overrides from frontmatter (quote-stripped + enum-validated — H5).
    _VALID = {"NativeCompatible", "NativeMirror", "TerraformedSterile", "Airless"}
    override: dict[str, str] = {}
    body_files = sorted(_glob.glob(str(WIKI_STAR_SYSTEMS / "*" / "bodies" / "*" / "index.md")))
    for fpath in body_files:
        try:
            text = Path(fpath).read_text(encoding="utf-8")
        except OSError:
            continue
        body_id, bc = _biosphere_from_frontmatter(text)
        if body_id and bc:
            bc = bc.strip().strip("'\"")
            if bc not in _VALID:
                console.event(f"{fpath}: biosphere_class {bc!r} not in {_VALID}; ignored", level="warn")
                continue
            override[body_id] = bc

    # 2. Bodies needing a value + the inputs for the two-gate default.
    # Recompute for ALL bodies every run: biosphere_class has no other authoritative
    # writer (unlike axial_tilt/radius, which preserve future column writes) — the
    # frontmatter override + two-gate default are its complete, deterministic source, so
    # an edited override must re-apply on the next regen.
    rows = conn.execute(
        """
        SELECT b.body_id, b.inhabited, b.atmosphere, b.hydrosphere, b.planet_class,
               e.economic_base_primary
        FROM bodies b
        LEFT JOIN system_economy e ON e.system_id = b.system_id
        """
    ).fetchall()

    _LIQUID = ("ocean", "liquid", "rivers", "moderate", "extensive", "coastal", "lakes")

    def _default(inhabited, atmosphere, hydrosphere, planet_class, econ, body_id) -> str:
        atm = (atmosphere or "").strip().lower()
        hyd = (hydrosphere or "").strip().lower()
        pclass = (planet_class or "").strip().lower()
        # Gate 0 — habitability. Independent of SETTLEMENT (H1 fix): D-247's premise is
        # that habitable worlds were alive before humans, so an UNINHABITED world with a
        # real atmosphere + open liquid water is a living world nobody has settled — not
        # Airless. Keyed on atmosphere / hydrosphere / planet_class (C2: these are the
        # real habitability signals; D-247's "+ planet_class" phrasing amended to match).
        if atm in ("", "none", "trace") or pclass == "barren":
            return "Airless"  # no atmosphere, or an explicitly lifeless world
        if atm == "thin":
            # A thin *breathable* atmosphere is an engineering achievement only where
            # INHABITED (maintained infrastructure — D-247 Oshima); an uninhabited
            # thin-atmosphere world is a marginal natural one with no open-air biosphere.
            return "TerraformedSterile" if inhabited else "Airless"
        if not any(k in hyd for k in _LIQUID):
            return "Airless"  # real atmosphere but no open liquid water -> sealed / marginal
        # Gate 1 — Compatible vs Mirror (Alive).
        base = (econ or "").strip().lower()
        if "agricultur" in base or "service" in base:
            return "NativeCompatible"
        if "penal" in base or "extract" in base or "manufactur" in base:
            return "NativeMirror"
        h = int(hashlib.sha1(str(body_id).encode()).hexdigest(), 16)
        return "NativeCompatible" if h % 2 == 0 else "NativeMirror"

    updates: list[tuple[str, str]] = []
    for body_id, inhabited, atmosphere, hydrosphere, planet_class, econ in rows:
        val = override.get(body_id) or _default(
            inhabited, atmosphere, hydrosphere, planet_class, econ, body_id
        )
        updates.append((val, body_id))

    if not dry_run and updates:
        conn.executemany(
            "UPDATE bodies SET biosphere_class = ? WHERE body_id = ?", updates
        )

    return len(updates)