🧪 RTT‑Aligned Harvesting Script Outline (Minimal, Ready for Implementation)

"""
RTT-Aligned Resonance Atlas Harvester
-------------------------------------
Harvests resonance values from trusted scientific sources and aligns them
to the Spectral Clarity Phases (I–VI) using RTT corridor logic.
"""
 
# ---------------------------------------------------------
# 1. Imports & Setup
# ---------------------------------------------------------
import json
from pathlib import Path
 
from validators import (
    validate_entry,
    map_phase,
    detect_drift,
)
 
ATLAS_PATH = Path("docs/resonance_atlas/atlas.json")
SCHEMA_PATH = Path("docs/resonance_atlas/resonance-atlas.schema.json")
 
# ---------------------------------------------------------
# 2. Source Harvesters (Stubs)
# ---------------------------------------------------------
 
def harvest_nist():
    """
    Harvest molecular vibrational frequencies from NIST IR/Raman datasets.
    Expected output:
        [
            {"substrate": "...", "frequency_range_hz": "...", "source": "NIST"}
        ]
    """
    pass  # placeholder for API or file ingestion
 
 
def harvest_rsc():
    """Harvest spectral lines from Royal Society of Chemistry datasets."""
    pass
 
 
def harvest_bowserinator():
    """Harvest atomic shells, ionization energies, and spectral lines."""
    pass
 
 
def harvest_nasa():
    """Harvest cosmic microwave background and stellar spectra."""
    pass
 
 
# ---------------------------------------------------------
# 3. Entry Assembly
# ---------------------------------------------------------
 
def assemble_entry(raw):
    """
    Convert raw harvested data into RTT Atlas entry.
    Applies:
        - substrate declaration
        - phase mapping
        - glyph assignment
        - drift detection
    """
    entry = {
        "substrate": raw["substrate"],
        "frequency_range_hz": raw["frequency_range_hz"],
        "source": raw["source"],
    }
 
    # RTT Phase Alignment
    entry["phase"], entry["symbol"] = map_phase(raw["frequency_range_hz"])
 
    # Glyph assignment (symbol → glyph)
    entry["glyph"] = assign_glyph(entry["symbol"])
 
    # Drift detection (optional)
    drift_flag = detect_drift(entry)
    if drift_flag:
        entry["notes"] = f"Drift detected: {drift_flag}"
 
    return entry
 
 
# ---------------------------------------------------------
# 4. Atlas Update
# ---------------------------------------------------------
 
def update_atlas(entries):
    """Append validated entries to atlas.json."""
    atlas = json.loads(ATLAS_PATH.read_text())
 
    for e in entries:
        if validate_entry(e, SCHEMA_PATH):
            atlas.append(e)
 
    ATLAS_PATH.write_text(json.dumps(atlas, indent=2))
 
 
# ---------------------------------------------------------
# 5. Main Routine
# ---------------------------------------------------------
 
def main():
    raw_data = []
    raw_data += harvest_nist()
    raw_data += harvest_rsc()
    raw_data += harvest_bowserinator()
    raw_data += harvest_nasa()
 
    entries = [assemble_entry(r) for r in raw_data]
    update_atlas(entries)
 
 
if __name__ == "__main__":
    main()