Auto-detects LM Studio (:1234) or Ollama (:11434) on host.docker.internal / localhost; skips silently when no server is reachable so CI stays green. When a server is present it exercises the full predict_useful_life path through the OpenAI-compatible adapter, catching prompt / JSON-parsing regressions that mocked LLMs hide. Tagged 'local_llm' so it can be selected explicitly when an LLM is known-available. Made-with: Cursor
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
from . import test_depreciation_methods
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from . import test_prorate
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from . import test_salvage_value
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from . import test_asset_anomaly_detection
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from . import test_useful_life_predictor
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from . import test_fusion_asset
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from . import test_fusion_asset_depreciation_line
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from . import test_fusion_asset_category
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from . import test_fusion_asset_disposal
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from . import test_fusion_asset_anomaly
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from . import test_account_move_inherit
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from . import test_fusion_asset_engine
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from . import test_engine_integration
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from . import test_assets_controller
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from . import test_assets_adapter
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from . import test_asset_tools
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from . import test_assets_cron
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from . import test_engine_property
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from . import test_method_integration
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from . import test_asset_book_values_mv
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from . import test_performance_benchmarks
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from . import test_create_asset_wizard
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from . import test_disposal_wizard
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from . import test_partial_sale_wizard
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from . import test_depreciation_run_wizard
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from . import test_migration_round_trip
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from . import test_audit_report
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from . import test_coexistence
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from . import test_assets_tours
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from . import test_perf_controller
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from . import test_local_llm_compat
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