Mondo Diaz
2dea63f99f
Major enhancements: - Feature flag system for cloud vs air-gapped deployment modes - Automatic storage backend selection based on deployment mode - Comprehensive seed data generation utilities - Support for generating CSV, JSON, binary, and PCAP test files - Quick seed script for easy data generation - Angular 19 frontend complete setup documentation - Material Design UI component examples and configuration Fixes: - Resolve SQLAlchemy metadata column name conflict - Rename metadata to custom_metadata throughout codebase - Fix API health check issues Documentation: - FEATURES.md - Complete feature overview - FRONTEND_SETUP.md - Angular 19 setup guide with examples - SUMMARY.md - Implementation summary 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
27 lines
660 B
Python
Executable File
27 lines
660 B
Python
Executable File
#!/usr/bin/env python
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"""Quick seed data generation script"""
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import asyncio
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import sys
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from utils.seed_data import generate_seed_data, clear_all_data
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async def main():
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if len(sys.argv) > 1:
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if sys.argv[1] == "clear":
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confirm = input("Delete ALL data? (yes/no): ")
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if confirm.lower() == "yes":
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await clear_all_data()
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else:
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print("Aborted.")
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else:
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count = int(sys.argv[1])
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await generate_seed_data(count)
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else:
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# Default: generate 25 artifacts
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await generate_seed_data(25)
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if __name__ == "__main__":
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asyncio.run(main())
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