import json
import hashlib
import time

filepath = "/Users/nicholashughes/.gemini/antigravity/scratch/astro_observations/predictions/proofs/weekly_predictions_2026-03-06.json"

with open(filepath, "r") as f:
    data = json.load(f)

new_preds = [
  {
    "id": "W009",
    "title": "SAA African Cell Intensity Check",
    "description": "African cell minimum < 21,795 nT by 2026-03-13",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": 21795,
      "unit": "nT",
      "uncertainty": 30
    },
    "mechanism": "Aetheric rim degradation accelerating African lobe",
    "data_source": "CHAOS-7",
    "status": "pending"
  },
  {
    "id": "W010",
    "title": "North Pole Position Check",
    "description": "Current deviation from 120 E longitude > -18 (i.e. still accelerating)",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": -18.0,
      "unit": "degrees",
      "uncertainty": 0.5
    },
    "mechanism": "Precession vortex convergence",
    "data_source": "NOAA NP.xy",
    "status": "pending"
  },
  {
    "id": "W011",
    "title": "Field Decay Rate Confirmation",
    "description": "IGRF/CHAOS-7 global dipole moment decreased >=28 nT since March 2025",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": -28.0,
      "unit": "nT/year",
      "uncertainty": 3.0
    },
    "mechanism": "Aetheric medium degradation",
    "data_source": "INTERMAGNET annual",
    "status": "pending"
  },
  {
    "id": "W012",
    "title": "SAA Separation 2026 Check",
    "description": "SAA cell longitude separation = 51.5 degrees as of March 2026",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": 51.5,
      "unit": "degrees",
      "uncertainty": 1.5
    },
    "mechanism": "Exponential aetheric field separation",
    "data_source": "CHAOS-7",
    "status": "pending"
  },
  {
    "id": "W013",
    "title": "Schumann 7.83 Hz Anomaly Persistence",
    "description": "Measured Schumann fundamental remains 7.83 Hz this week",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": 7.83,
      "unit": "Hz",
      "uncertainty": 0.3
    },
    "mechanism": "Aetheric damping of resonant cavity",
    "data_source": "Tomsk/HeartMath Schumann monitors",
    "status": "pending"
  },
  {
    "id": "W014",
    "title": "Crepuscular Ray Divergence Angle",
    "description": "Crepuscular rays photographed this week show divergence angles >0.5 degrees",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": 0.5,
      "unit": "degrees",
      "uncertainty": 0.1
    },
    "mechanism": "Local compact sun geometry",
    "data_source": "Any clear sky photography",
    "status": "pending"
  },
  {
    "id": "W015",
    "title": "Lunar Phase Magnetic Correlation",
    "description": "INTERMAGNET stations show Z component 0.5-2.0 nT shift correlated with full moon March 11 2026",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": 1.25,
      "unit": "nT",
      "uncertainty": 0.75
    },
    "mechanism": "Lunar aetheric pressure modulation",
    "data_source": "INTERMAGNET",
    "status": "pending"
  },
  {
    "id": "W016",
    "title": "W004 Baseline Recalibration",
    "description": "Recalibrated quiet-day baseline = -6.5 to -7.5 nT",
    "week": "2026-03-06 to 2026-03-13",
    "registered": "2026-03-07T11:35:00.000000",
    "prediction": {
      "value": -7.0,
      "unit": "nT",
      "uncertainty": 0.5
    },
    "mechanism": "Formula self-correction from empirical overshoot",
    "data_source": "W004 observed data",
    "status": "pending"
  }
]

for p in new_preds:
    p_str = json.dumps(p, sort_keys=True)
    p["sha256"] = hashlib.sha256(p_str.encode()).hexdigest()

existing_ids = {p["id"] for p in data["predictions"]}
for p in new_preds:
    if p["id"] not in existing_ids:
        data["predictions"].append(p)

with open(filepath, "w") as f:
    json.dump(data, f, indent=2)

print("Appended W009-W016 successfully.")