c75c85c53b
- Backend: Refactored tasks.py to directly invoke run_single_fna_pipeline.py for consistency. - Backend: Changed output format to ZIP and added auto-cleanup of intermediate files. - Backend: Fixed language parameter passing in API and tasks. - Frontend: Removed CRISPR Fusion UI elements from Submit and Monitor views. - Frontend: Implemented simulated progress bar for better UX. - Frontend: Restored One-click load button and added result file structure documentation. - Docker: Fixed critical Restarting loop by removing incorrect image directive in docker-compose.yml. - Docker: Optimized Dockerfile to correct .pixi environment path issues and prevent accidental deletion of frontend assets.
32 lines
838 B
Python
32 lines
838 B
Python
#!/usr/bin/env python3
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"""
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Mock BGC Detector (ZWA/Thu/TAA)
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Returns random presence/absence for testing.
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"""
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import argparse
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import json
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import random
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from pathlib import Path
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--input", required=True, help="Input genome file")
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parser.add_argument("--output", required=True, help="Output JSON file")
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args = parser.parse_args()
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# Mock logic: Randomly assign 0 or 1
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# In real impl, this would run HMM/BLAST against specific BGC databases
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results = {
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"ZWA": random.choice([0, 1]),
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"Thu": random.choice([0, 1]),
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"TAA": random.choice([0, 1])
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}
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with open(args.output, "w") as f:
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json.dump(results, f, indent=2)
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print(f"Mock BGC results written to {args.output}")
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if __name__ == "__main__":
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main()
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