Refactor: Unified pipeline execution, simplified UI, and fixed Docker config

- 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.

tools/crispr_cas_analysis/tests/test_detect_crispr.py

@@ -0,0 +1,42 @@
+import pytest
+import json
+import shutil
+from pathlib import Path
+from crispr_cas.scripts.detect_crispr import generate_mock_results
+
+def test_generate_mock_results(tmp_path):
+    """Test mock result generation"""
+    input_file = tmp_path / "test_genome.fna"
+    input_file.touch()
+
+    results = generate_mock_results(input_file)
+
+    assert results["strain_id"] == "test_genome"
+    assert "cas_systems" in results
+    assert "arrays" in results
+    assert results["summary"]["has_cas"] is True
+    assert len(results["arrays"]) > 0
+
+def test_script_execution(tmp_path):
+    """Test full script execution via subprocess"""
+    # Create dummy input
+    input_file = tmp_path / "genome.fna"
+    input_file.touch()
+    output_file = tmp_path / "results.json"
+    script_path = Path("crispr_cas/scripts/detect_crispr.py").absolute()
+
+    import subprocess
+    cmd = [
+        "python3", str(script_path),
+        "--input", str(input_file),
+        "--output", str(output_file),
+        "--mock"
+    ]
+
+    result = subprocess.run(cmd, capture_output=True, text=True)
+    assert result.returncode == 0
+    assert output_file.exists()
+
+    with open(output_file) as f:
+        data = json.load(f)
+        assert data["strain_id"] == "genome"