54 lines
2.2 KiB
Python
54 lines
2.2 KiB
Python
from pathlib import Path
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import json
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from didactopus.ocw_information_entropy_demo import run_ocw_information_entropy_demo
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def test_ocw_information_entropy_demo_generates_pack_and_skill(tmp_path: Path) -> None:
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root = Path(__file__).resolve().parents[1]
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summary = run_ocw_information_entropy_demo(
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course_source=root / "examples" / "ocw-information-entropy" / "course",
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source_inventory=root / "examples" / "ocw-information-entropy" / "sources.yaml",
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pack_dir=tmp_path / "pack",
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run_dir=tmp_path / "run",
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skill_dir=tmp_path / "skill",
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)
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assert (tmp_path / "pack" / "pack.yaml").exists()
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assert (tmp_path / "pack" / "pack_compliance_manifest.json").exists()
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assert (tmp_path / "pack" / "source_corpus.json").exists()
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assert (tmp_path / "run" / "capability_profile.json").exists()
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assert (tmp_path / "skill" / "SKILL.md").exists()
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assert summary["target_concept"].endswith("thermodynamics-and-entropy")
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assert summary["mastered_concepts"]
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assert summary["source_document_count"] >= 1
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assert summary["source_fragment_count"] >= 1
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def test_ocw_demo_accepts_directory_tree_sources(tmp_path: Path) -> None:
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source_dir = tmp_path / "course"
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source_dir.mkdir()
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(source_dir / "unit1.md").write_text(
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"# Course\n\n## Unit 1\n### Counting and Probability\n- Objective: Explain counting arguments.\nBody text.",
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encoding="utf-8",
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)
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(source_dir / "unit2.txt").write_text(
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"## Unit 2\n### Shannon Entropy\nObjective: Relate uncertainty and entropy.\nExercise: Compare two distributions.",
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encoding="utf-8",
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)
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sources = tmp_path / "sources.yaml"
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sources.write_text("sources: []\n", encoding="utf-8")
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summary = run_ocw_information_entropy_demo(
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course_source=source_dir,
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source_inventory=sources,
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pack_dir=tmp_path / "pack",
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run_dir=tmp_path / "run",
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skill_dir=tmp_path / "skill",
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)
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corpus = json.loads((tmp_path / "pack" / "source_corpus.json").read_text(encoding="utf-8"))
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assert summary["source_document_count"] == 2
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assert len(corpus["sources"]) == 2
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assert any(fragment["lesson_title"] == "Shannon Entropy" for fragment in corpus["fragments"])
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