2125_GCE/glyphs/super_registry.py

"""Supercharged Glyph Registry (LedoGlyph600)

Registry for 600-glyph supercharged dataset with:
- 112 superpowers per glyph
- frequency signatures (praw: P, R, A, W)
- contributor inheritance (lineage)
- symbolic anatomy (originalMetrics)
- activation envelopes (activation modes)
- resonance profiles (activation signatures)
- extended metadata (governance, routing, storage)

Data source: /mnt/d/users/dave/Downloads/LEDONOVA/LedoGlyph600.json
"""

from typing import Optional, List, Dict, Any
import json
from pathlib import Path

# Module-level cache
_glyphs: Optional[Dict[str, dict]] = None
_glyph_ids: Optional[List[str]] = None
_loaded = False
_load_path: Optional[Path] = None


def load_all_supercharged(path: Optional[str] = None) -> None:
    """Load all 600 supercharged glyphs from JSON file.

    Lazy-loads and caches glyphs in module-level variables.
    Validates that exactly 600 glyphs are present.

    Args:
        path: Optional path to LedoGlyph600.json file.
              Defaults to /mnt/d/users/dave/Downloads/LEDONOVA/LedoGlyph600.json

    Raises:
        FileNotFoundError: If file doesn't exist
        ValueError: If glyph count != 600
        json.JSONDecodeError: If JSON is malformed
    """
    global _glyphs, _glyph_ids, _loaded, _load_path

    if _loaded:
        return

    # Resolve path
    if path is None:
        # Try local path first, then fallback
        local_path = Path(__file__).parent / "supercharged_glyphs.json"
        if local_path.exists():
            path = str(local_path)
        else:
            path = "/mnt/d/users/dave/Downloads/LEDONOVA/LedoGlyph600.json"

    filepath = Path(path)
    if not filepath.exists():
        raise FileNotFoundError(f"Supercharged glyph file not found: {filepath}")

    _load_path = filepath

    # Load JSON
    with open(filepath) as f:
        data = json.load(f)

    # Extract glyphs
    if isinstance(data, dict) and "glyphs" in data:
        glyph_list = data["glyphs"]
    elif isinstance(data, list):
        glyph_list = data
    else:
        raise ValueError("Invalid glyph data structure")

    # Validate count
    if len(glyph_list) != 600:
        raise ValueError(f"Expected 600 glyphs, got {len(glyph_list)}")

    # Build cache dict by ID
    _glyphs = {}
    for glyph in glyph_list:
        glyph_id = glyph.get("id")
        if glyph_id:
            _glyphs[glyph_id] = glyph

    # Build ID list
    _glyph_ids = sorted(list(_glyphs.keys()))

    _loaded = True


def get_super(glyph_id: str) -> Optional[dict]:
    """Get a single supercharged glyph by ID.

    Returns all fields: id, name, category, period, band, originalMetrics,
    praw, score, lineage, activation, routing, storage, governance.

    Args:
        glyph_id: Glyph ID (e.g. "G001")

    Returns:
        Glyph dict with all supercharged fields, or None if not found
    """
    if not _loaded:
        load_all_supercharged()

    return _glyphs.get(glyph_id) if _glyphs else None


def list_super_ids() -> List[str]:
    """List all supercharged glyph IDs (sorted).

    Returns:
        List of 600 glyph IDs
    """
    if not _loaded:
        load_all_supercharged()

    return _glyph_ids[:] if _glyph_ids else []


def search_super(
    query: str,
    *,
    fields: Optional[List[str]] = None,
    limit: int = 20
) -> List[dict]:
    """Search supercharged glyphs by query across specified fields.

    Performs case-insensitive substring matching on string fields and
    numeric fields converted to strings.

    Args:
        query: Search string (case-insensitive substring match)
        fields: List of field names to search.
                Defaults to ['id', 'name', 'category']
        limit: Maximum results to return (default 20)

    Returns:
        List of matching glyph dicts (up to limit)
    """
    if not _loaded:
        load_all_supercharged()

    if not _glyphs:
        return []

    if fields is None:
        fields = ["id", "name", "category"]

    query_lower = query.lower()
    results = []

    for glyph_id in _glyph_ids:
        glyph = _glyphs[glyph_id]

        # Search in specified fields
        for field in fields:
            value = glyph.get(field)
            if value is None:
                continue

            # Convert to string for matching
            if isinstance(value, str):
                if query_lower in value.lower():
                    results.append(glyph)
                    break
            elif isinstance(value, (int, float)):
                if query_lower in str(value).lower():
                    results.append(glyph)
                    break

        # Stop if we've hit limit
        if len(results) >= limit:
            break

    return results[:limit]


def super_stats() -> dict:
    """Get statistics about the supercharged glyph registry.

    Validates registry integrity and returns metadata.

    Returns:
        Dict with keys:
        - total_glyphs: Count of glyphs (should be 600)
        - fields_present: List of all field names found across glyphs
        - sample_ids: First 5 glyph IDs
        - categories: List of all unique categories
        - loaded: Whether registry is loaded
        - load_path: Path to data file
    """
    if not _loaded:
        load_all_supercharged()

    if not _glyphs:
        return {
            "total_glyphs": 0,
            "fields_present": [],
            "sample_ids": [],
            "categories": [],
            "loaded": False,
            "load_path": None,
        }

    # Collect all field names
    all_fields = set()
    all_categories = set()

    for glyph in _glyphs.values():
        all_fields.update(glyph.keys())
        category = glyph.get("category")
        if category:
            all_categories.add(category)

    return {
        "total_glyphs": len(_glyphs),
        "fields_present": sorted(list(all_fields)),
        "sample_ids": _glyph_ids[:5] if _glyph_ids else [],
        "categories": sorted(list(all_categories)),
        "loaded": _loaded,
        "load_path": str(_load_path) if _load_path else None,
    }


def get_super_field(glyph_id: str, field_path: str, default: Any = None) -> Any:
    """Get a nested field from a supercharged glyph.

    Supports dot-notation for nested fields (e.g. "activation.score",
    "praw.P", "lineage.signature").

    Args:
        glyph_id: Glyph ID
        field_path: Field path (supports dots for nesting)
        default: Default value if not found

    Returns:
        Field value or default
    """
    glyph = get_super(glyph_id)
    if glyph is None:
        return default

    # Handle nested paths
    parts = field_path.split(".")
    value = glyph

    for part in parts:
        if isinstance(value, dict):
            value = value.get(part)
            if value is None:
                return default
        else:
            return default

    return value


def list_super_by_category(category: str) -> List[dict]:
    """List all supercharged glyphs in a category.

    Args:
        category: Category name (e.g. "neural", "harmonic")

    Returns:
        List of matching glyphs
    """
    if not _loaded:
        load_all_supercharged()

    if not _glyphs:
        return []

    return [g for g in _glyphs.values() if g.get("category") == category]


def get_super_by_band(band: int) -> List[dict]:
    """List all supercharged glyphs in a frequency band.

    Args:
        band: Band number

    Returns:
        List of matching glyphs sorted by band
    """
    if not _loaded:
        load_all_supercharged()

    if not _glyphs:
        return []

    return sorted(
        [g for g in _glyphs.values() if g.get("band") == band],
        key=lambda g: g.get("id", "")
    )


def get_glyphs_by_score_range(min_score: int, max_score: int) -> List[dict]:
    """List glyphs with scores in the given range.

    Args:
        min_score: Minimum score (inclusive)
        max_score: Maximum score (inclusive)

    Returns:
        List of glyphs sorted by score descending
    """
    if not _loaded:
        load_all_supercharged()

    if not _glyphs:
        return []

    return sorted(
        [
            g for g in _glyphs.values()
            if min_score <= g.get("score", 0) <= max_score
        ],
        key=lambda g: g.get("score", 0),
        reverse=True
    )