|
|
import os |
|
|
import json |
|
|
from datetime import datetime |
|
|
|
|
|
def log(m): print(f"[{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] {m}", flush=True) |
|
|
|
|
|
def validate_assets(): |
|
|
"""Validate that all our trained assets exist and are accessible""" |
|
|
log("🔍 VALIDATING TRAINED ASSETS...") |
|
|
|
|
|
assets_to_check = [ |
|
|
("phase9/spatial_predictor_model.pth", "Trained Spatial Predictor"), |
|
|
("outputs/learned_spatial_patterns.json", "Phase 8 Spatial Patterns"), |
|
|
("phase8/comprehensive_spatial_dataset.json", "Comprehensive Spatial Dataset"), |
|
|
("phase8/pattern_generated_spatial.json", "Pattern Generated Dataset"), |
|
|
("phase9/multi_object_scenes.json", "Multi-Object Scenes Dataset") |
|
|
] |
|
|
|
|
|
existing_assets = [] |
|
|
missing_assets = [] |
|
|
|
|
|
for path, description in assets_to_check: |
|
|
if os.path.exists(path): |
|
|
existing_assets.append((path, description)) |
|
|
|
|
|
|
|
|
if path.endswith('.json'): |
|
|
try: |
|
|
with open(path, 'r') as f: |
|
|
data = json.load(f) |
|
|
log(f" ✅ {description}: {len(data)} items") |
|
|
except: |
|
|
log(f" ✅ {description}: EXISTS (error reading)") |
|
|
else: |
|
|
size_mb = os.path.getsize(path) / (1024 * 1024) |
|
|
log(f" ✅ {description}: {size_mb:.1f} MB") |
|
|
|
|
|
else: |
|
|
missing_assets.append((path, description)) |
|
|
log(f" ❌ {description}: MISSING") |
|
|
|
|
|
log(f"\n📊 ASSET VALIDATION SUMMARY:") |
|
|
log(f" ✅ Existing: {len(existing_assets)} assets") |
|
|
log(f" ❌ Missing: {len(missing_assets)} assets") |
|
|
|
|
|
if missing_assets: |
|
|
log("\n⚠️ MISSING ASSETS:") |
|
|
for path, description in missing_assets: |
|
|
log(f" • {description}: {path}") |
|
|
|
|
|
return len(existing_assets) > 0 |
|
|
|
|
|
if __name__ == "__main__": |
|
|
success = validate_assets() |
|
|
if success: |
|
|
log("\n🎯 ASSETS VALIDATED - READY FOR BENCHMARKING!") |
|
|
else: |
|
|
log("\n❌ CRITICAL ASSETS MISSING - CHECK PATHS!") |
|
|
|
