{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": "DB_PASSWORD=\"v8mFLmkF2fth_r\" .\/venv\/bin\/python -c \"\nfrom pipeline_config import get_step_model, PipelineConfigError, DEFAULT_PIPELINE_ID\n\nprint(f'DEFAULT_PIPELINE_ID = {DEFAULT_PIPELINE_ID}')\nprint()\n\n# Test 1: Existierender step_type\nfrom db import db\ndb.connect()\n\nmodel = get_step_model('text_semantic_analyze')\nprint(f'text_semantic_analyze: {model}')\n\nmodel = get_step_model('knowledge_semantic_analyze')\nprint(f'knowledge_semantic_analyze: {model}')\n\nmodel = get_step_model('enrich')\nprint(f'enrich: {model}')\n\n# Test 2: Nicht existierender step_type (sollte Exception werfen)\nprint()\ntry:\n get_step_model('nonexistent_step')\nexcept PipelineConfigError as e:\n print(f'Exception korrekt: {e}')\n\ndb.disconnect()\nprint()\nprint('Alle Tests bestanden!')\n\"",
"description": "Test pipeline_config module"
}
}
{
"tool_response": {
"stdout": "DEFAULT_PIPELINE_ID = 5\n\ntext_semantic_analyze: mistral\nknowledge_semantic_analyze: mistral\nenrich: mistral\n\nException korrekt: Kein Model konfiguriert für step_type='nonexistent_step' in pipeline_id=5. Bitte in pipeline_steps.config setzen!\n\nAlle Tests bestanden!",
"stderr": "",
"interrupted": false,
"isImage": false
}
}