Anto01
2b3573ec42
Major additions: - Training data export system for AtomizerField neural network training - Bracket stiffness optimization study with 50+ training samples - Intelligent NX model discovery (auto-detect solutions, expressions, mesh) - Result extractors module for displacement, stress, frequency, mass - User-generated NX journals for advanced workflows - Archive structure for legacy scripts and test outputs - Protocol documentation and dashboard launcher 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
"""
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Monitor E2E test progress in real-time
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Run this in a separate terminal to see live updates
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"""
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import subprocess
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import sys
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from pathlib import Path
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# Load API key from .env
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env_vars = {}
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env_file = Path(".env")
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if env_file.exists():
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with open(env_file) as f:
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for line in f:
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line = line.strip()
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if line and not line.startswith('#') and '=' in line:
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key, value = line.split('=', 1)
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env_vars[key.strip()] = value.strip()
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if 'ANTHROPIC_API_KEY' not in env_vars:
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print("[FAIL] No API key found in .env")
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sys.exit(1)
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print("[OK] API key loaded")
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print()
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print("=" * 80)
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print("RUNNING E2E TEST - LIVE OUTPUT")
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print("=" * 80)
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print()
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# Run test with live output (not in background)
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python_exe = "c:/Users/antoi/anaconda3/envs/test_env/python.exe"
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test_script = Path(__file__).parent / "tests" / "test_phase_3_2_e2e.py"
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# Set environment and run
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import os
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os.environ.update(env_vars)
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# Run with unbuffered output so we see it live
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result = subprocess.run(
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[python_exe, "-u", str(test_script)],
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env=os.environ
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)
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sys.exit(result.returncode)
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