24 lines
939 B
Python
24 lines
939 B
Python
from didactopus.agentic_loop import run_agentic_learning_loop
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from didactopus.artifact_registry import discover_domain_packs
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from didactopus.config import load_config
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from didactopus.graph_builder import build_concept_graph
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from didactopus.learning_graph import build_merged_learning_graph
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from didactopus.planner import PlannerWeights
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def test_agentic_loop_runs() -> None:
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config = load_config("configs/config.example.yaml")
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results = discover_domain_packs(["domain-packs"])
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merged = build_merged_learning_graph(results, config.platform.default_dimension_thresholds)
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graph = build_concept_graph(results, config.platform.default_dimension_thresholds)
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state = run_agentic_learning_loop(
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graph=graph,
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project_catalog=merged.project_catalog,
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target_concepts=["bayes-extension::posterior"],
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weights=PlannerWeights(),
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max_steps=4,
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)
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assert len(state.attempt_history) >= 1
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