"""
Test 1: Beam Optimization Verification
November 18, 2025

This test verifies:
1. Parameter bounds parsing (20-30mm not 0.2-1.0mm)
2. Workflow config auto-saved
3. Extractors added to core library
4. Study manifest created (not code pollution)
5. Clean study folder structure

This test uses the CLI runner with workflow JSON (Hybrid Mode).
"""

import subprocess
import json
from pathlib import Path
from datetime import datetime

# Setup
study_dir = Path("studies/simple_beam_optimization")
workflow_json = study_dir / "1_setup/workflow_config.json"
prt_file = study_dir / "1_setup/model/Beam.prt"
sim_file = study_dir / "1_setup/model/Beam_sim1.sim"
output_dir = study_dir / "2_substudies/test_nov18_verification"

print("="*80)
print("TEST 1: BEAM OPTIMIZATION VERIFICATION - HYBRID MODE")
print("="*80)
print()
print(f"Workflow JSON: {workflow_json}")
print(f"Model: {prt_file}")
print(f"Output: {output_dir}")
print()
print("Running 5 trials to verify system...")
print()

# Build command using the CLI runner
python_exe = "c:/Users/antoi/anaconda3/envs/test_env/python.exe"

cmd = [
    python_exe,
    "optimization_engine/run_optimization.py",
    "--config", str(workflow_json),
    "--prt", str(prt_file),
    "--sim", str(sim_file),
    "--output", str(output_dir.parent),
    "--study-name", output_dir.name,
    "--trials", "5"
]

print("Command:")
print(" ".join(cmd))
print()
print("="*80)
print("OPTIMIZATION RUNNING...")
print("="*80)
print()

# Run the optimization
start_time = datetime.now()
result = subprocess.run(cmd, capture_output=False, text=True)
end_time = datetime.now()

duration = (end_time - start_time).total_seconds()

print()
print("="*80)
print(f"COMPLETED in {duration:.1f} seconds ({duration/60:.1f} minutes)")
print("="*80)
print()

# Check results
if result.returncode != 0:
    print("[FAIL] Optimization failed with return code:", result.returncode)
    exit(1)

# Verify outputs
print("Verifying outputs...")
print()

manifest_file = output_dir / "extractors_manifest.json"
results_file = output_dir / "optimization_results.json"
history_file = output_dir / "optimization_history.json"
workflow_saved = output_dir / "llm_workflow_config.json"

checks = []

# 1. Manifest exists
if manifest_file.exists():
    print(f"  [OK] Extractors manifest: {manifest_file.name}")
    checks.append(True)
else:
    print(f"  [FAIL] Extractors manifest not found")
    checks.append(False)

# 2. Results exist
if results_file.exists():
    print(f"  [OK] Results file: {results_file.name}")
    checks.append(True)

    # Check parameter values
    with open(results_file) as f:
        results = json.load(f)

    thickness = results['best_params']['beam_half_core_thickness']
    if 20 <= thickness <= 30:
        print(f"  [OK] Parameter ranges correct: thickness = {thickness:.2f} mm")
        checks.append(True)
    else:
        print(f"  [FAIL] Parameter out of range: thickness = {thickness:.2f} mm (expected 20-30)")
        checks.append(False)
else:
    print(f"  [FAIL] Results file not found")
    checks.append(False)

# 3. History exists
if history_file.exists():
    print(f"  [OK] History file: {history_file.name}")
    checks.append(True)
else:
    print(f"  [FAIL] History file not found")
    checks.append(False)

# 4. Workflow config saved
if workflow_saved.exists():
    print(f"  [OK] Workflow config saved: {workflow_saved.name}")
    checks.append(True)
else:
    print(f"  [FAIL] Workflow config not saved")
    checks.append(False)

# 5. NO generated_extractors directory (clean!)
generated_extractors = output_dir / "generated_extractors"
if not generated_extractors.exists():
    print(f"  [OK] No generated_extractors/ pollution (clean!)")
    checks.append(True)
else:
    print(f"  [FAIL] generated_extractors/ directory exists (not clean)")
    checks.append(False)

print()
print("="*80)
print(f"TEST 1 RESULTS: {sum(checks)}/{len(checks)} checks passed")
print("="*80)
print()

if all(checks):
    print("[SUCCESS] All checks passed!")
    print()
    print("Verified:")
    print("  ✓ Parameter bounds parsed correctly (20-30mm)")
    print("  ✓ Extractors manifest created (centralized library)")
    print("  ✓ Study folder clean (no code pollution)")
    print("  ✓ Workflow config auto-saved")
    print("  ✓ Optimization completed successfully")
else:
    print("[FAIL] Some checks failed")
    exit(1)