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test: lift project_history.py coverage 81% to 99% #766
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,348 @@ | ||
| """Edge-branch tests for the evidence-bound project-history projection. | ||
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| The primary suite covers the happy path through ``_prior_paths`` and | ||
| ``build_project_history_projection``. These tests exercise the validation | ||
| boundaries, DAG safety skips, depth/path ceilings, and role deduplication | ||
| that keep the projection deterministic and fail-closed on malformed input. | ||
| """ | ||
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| from __future__ import annotations | ||
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| from datetime import UTC, datetime | ||
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| import pytest | ||
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| from lineageweave.project_history import ( | ||
| PROJECT_HISTORY_MAX_DEPTH, | ||
| PROJECT_HISTORY_MAX_PATHS_PER_EVENT, | ||
| _prior_paths, | ||
| _score, | ||
| build_project_history_projection, | ||
| normalize_project_key, | ||
| ) | ||
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| _DT = datetime(2026, 8, 27, 12, 0, tzinfo=UTC) | ||
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| def _event_row(event_id: str, at: datetime = _DT) -> dict[str, object]: | ||
| """One minimal visible-event row.""" | ||
| return {"post_id": event_id, "created_at": at} | ||
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| def test_normalize_project_key_rejects_oversized_utf8_key() -> None: | ||
| key = "p-" + ("가" * 120) | ||
| with pytest.raises(ValueError, match="256 UTF-8"): | ||
| normalize_project_key(key) | ||
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| @pytest.mark.parametrize("value", [True, "0.5", [], None]) | ||
| def test_score_rejects_non_numeric_values(value: object) -> None: | ||
| with pytest.raises(ValueError, match="numeric"): | ||
| _score(value) | ||
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| @pytest.mark.parametrize( | ||
| "value", | ||
| [float("nan"), float("inf"), float("-inf")], | ||
| ) | ||
| def test_score_rejects_non_finite_values(value: float) -> None: | ||
| with pytest.raises(ValueError, match="finite"): | ||
| _score(value) | ||
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| def test_score_accepts_finite_numeric_values() -> None: | ||
| assert _score(0.5) == 0.5 | ||
| assert _score(1) == 1.0 | ||
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| def test_prior_paths_skips_edges_pointing_outside_the_event_window() -> None: | ||
| paths = _prior_paths( | ||
| ["award", "spec"], | ||
| [ | ||
| {"parent_post_id": "ghost", "child_post_id": "award", "fused_score": 0.9}, | ||
| {"parent_post_id": "award", "child_post_id": "ghost", "fused_score": 0.9}, | ||
| ], | ||
| maximum_depth=8, | ||
| maximum_paths_per_event=32, | ||
| ) | ||
| assert paths["award"] == [] | ||
| assert paths["spec"] == [] | ||
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| def test_prior_paths_skips_backward_or_simultaneous_edges() -> None: | ||
| paths = _prior_paths( | ||
| ["award", "spec"], | ||
| [ | ||
| {"parent_post_id": "spec", "child_post_id": "award", "fused_score": 0.9}, | ||
| {"parent_post_id": "spec", "child_post_id": "spec", "fused_score": 0.9}, | ||
| ], | ||
| maximum_depth=8, | ||
| maximum_paths_per_event=32, | ||
| ) | ||
| assert all(path["event_ids"][-1] == "spec" for path in paths["spec"]) | ||
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| def test_prior_paths_respects_maximum_depth() -> None: | ||
| edges = [ | ||
| {"parent_post_id": f"p{index}", "child_post_id": f"p{index + 1}", "fused_score": 0.9} | ||
| for index in range(4) | ||
| ] | ||
| events = [f"p{index}" for index in range(5)] | ||
| paths = _prior_paths( | ||
| events, | ||
| edges, | ||
| maximum_depth=3, | ||
| maximum_paths_per_event=32, | ||
| ) | ||
| # The four-edge route from the chain root is pruned by maximum_depth=3; | ||
| # the direct predecessor routes remain admissible. | ||
| assert "p0" not in {path["source_event_id"] for path in paths["p4"]} | ||
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| def test_prior_paths_respects_maximum_paths_per_event() -> None: | ||
| events = ["root", "mid-a", "mid-b", "mid-c", "leaf"] | ||
| edges = [ | ||
| {"parent_post_id": "root", "child_post_id": child, "fused_score": 0.9} | ||
| for child in ("mid-a", "mid-b", "mid-c") | ||
| ] + [ | ||
| {"parent_post_id": child, "child_post_id": "leaf", "fused_score": 0.9} | ||
| for child in ("mid-a", "mid-b", "mid-c") | ||
| ] | ||
| paths = _prior_paths( | ||
| events, | ||
| edges, | ||
| maximum_depth=8, | ||
| maximum_paths_per_event=2, | ||
| ) | ||
| assert len(paths["leaf"]) == 2 | ||
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| def test_prior_paths_skips_parents_already_on_the_reverse_path() -> None: | ||
| # A self-referential-looking cycle via reused parent must not recurse. | ||
| paths = _prior_paths( | ||
| ["a", "b", "c"], | ||
| [ | ||
| {"parent_post_id": "a", "child_post_id": "b", "fused_score": 0.9}, | ||
| {"parent_post_id": "b", "child_post_id": "c", "fused_score": 0.9}, | ||
| {"parent_post_id": "b", "child_post_id": "b", "fused_score": 0.8}, | ||
| ], | ||
| maximum_depth=8, | ||
| maximum_paths_per_event=32, | ||
| ) | ||
| assert all("b" in path["event_ids"] for path in paths["c"]) | ||
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| def test_projection_rejects_out_of_supported_depth_bounds() -> None: | ||
| with pytest.raises(ValueError, match="maximum_depth"): | ||
| build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[], | ||
| match_rows=[], | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| maximum_depth=0, | ||
| ) | ||
| with pytest.raises(ValueError, match="maximum_depth"): | ||
| build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[], | ||
| match_rows=[], | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| maximum_depth=PROJECT_HISTORY_MAX_DEPTH + 1, | ||
| ) | ||
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| def test_projection_rejects_out_of_supported_path_bounds() -> None: | ||
| with pytest.raises(ValueError, match="maximum_paths_per_event"): | ||
| build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[], | ||
| match_rows=[], | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| maximum_paths_per_event=0, | ||
| ) | ||
| with pytest.raises(ValueError, match="maximum_paths_per_event"): | ||
| build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[], | ||
| match_rows=[], | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| maximum_paths_per_event=PROJECT_HISTORY_MAX_PATHS_PER_EVENT + 1, | ||
| ) | ||
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| def test_projection_rejects_missing_events() -> None: | ||
| with pytest.raises(ValueError, match="at least one visible event"): | ||
| build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[], | ||
| match_rows=[], | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| ) | ||
|
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| def test_projection_rejects_unknown_focus_event() -> None: | ||
| single = [_event_row("11111111-1111-1111-1111-111111111111")] | ||
| with pytest.raises(ValueError, match="focus event"): | ||
| build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id="22222222-2222-2222-2222-222222222222", | ||
| event_rows=single, | ||
| match_rows=[], | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| ) | ||
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| def _full_event_row(event_id: str) -> dict[str, object]: | ||
| """A minimal event row the projection renderer can display.""" | ||
| return { | ||
| "post_id": event_id, | ||
| "post_title": "Synthetic project record", | ||
| "created_at": _DT, | ||
| "event_occurred_at": _DT, | ||
| "event_content_status_code": "available", | ||
| "event_content_status_label": "Available", | ||
| } | ||
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| def test_projection_deduplicates_repeated_role_rows() -> None: | ||
| event_id = "11111111-1111-1111-1111-111111111111" | ||
| role_row = { | ||
| "post_id": event_id, | ||
| "role_name": "담당자", | ||
| "actor_name": "아무개", | ||
| "responsibility": "작성", | ||
| "actor_type_code": "prov_person", | ||
| "affiliated_organization_name": "영업팀", | ||
| } | ||
| role_rows = [role_row, dict(role_row)] | ||
| projection = build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[_full_event_row(event_id)], | ||
| match_rows=[], | ||
| role_rows=role_rows, | ||
| edge_rows=[], | ||
| ) | ||
| roles = projection["events"][0]["observed_responsibilities"] | ||
| assert len(roles) == 1 | ||
| assert roles[0]["actor_name"] == "아무개" | ||
| assert roles[0]["responsibility"] == "작성" | ||
|
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| def test_actor_key_prefers_a_cataloged_identity() -> None: | ||
| """A cataloged person id yields a stable cataloged actor key.""" | ||
| assert ( | ||
| _prior_paths.__module__ and True | ||
| ) # keep import surface stable | ||
| from lineageweave.project_history import _actor_key | ||
|
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| key = _actor_key( | ||
| { | ||
| "cataloged_person_id": "p-77", | ||
| "cataloged_team_id": None, | ||
| "actor_type_code": "prov_person", | ||
| "actor_name": "아무개", | ||
| } | ||
| ) | ||
| assert key == "person:p-77" | ||
|
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| def test_projection_processes_and_deduplicates_match_rows() -> None: | ||
| event_a = "11111111-1111-1111-1111-111111111111" | ||
| event_b = "22222222-2222-2222-2222-222222222222" | ||
| events = [_full_event_row(event_a), _full_event_row(event_b)] | ||
| match_rows = [ | ||
| # Admissible observed, inferred, and duplicate matches. | ||
| { | ||
| "post_id": event_a, | ||
| "matched_value": "p-1", | ||
| "match_kind_code": "source_project_name", | ||
| "confidence": 0.9, | ||
| "ontology_iri": "https://example.test/iri", | ||
| "provenance": "post_project_mention", | ||
| }, | ||
| { | ||
| "post_id": event_a, | ||
| "matched_value": "p-1", | ||
| "match_kind_code": "source_project_name", | ||
| "confidence": 0.9, | ||
| "ontology_iri": "https://example.test/iri", | ||
| "provenance": "post_project_mention", | ||
| }, | ||
| { | ||
| "post_id": event_a, | ||
| "matched_value": "p-1", | ||
| "match_kind_code": "semantic_project_name", | ||
| "confidence": None, | ||
| "ontology_iri": None, | ||
| "provenance": "semantic_extraction", | ||
| }, | ||
| # A match normalizing to a different key and an unknown-event row. | ||
| { | ||
| "post_id": event_a, | ||
| "matched_value": "some-other-project", | ||
| "match_kind_code": "semantic_project_name", | ||
| "confidence": 0.5, | ||
| "ontology_iri": None, | ||
| "provenance": "semantic_extraction", | ||
| }, | ||
| { | ||
| "post_id": "ghost-does-not-exist", | ||
| "matched_value": "p-1", | ||
| "match_kind_code": "source_project_name", | ||
| "confidence": 0.9, | ||
| "ontology_iri": None, | ||
| "provenance": "post_project_mention", | ||
| }, | ||
| ] | ||
| projection = build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=event_a, | ||
| event_rows=events, | ||
| match_rows=match_rows, | ||
| role_rows=[], | ||
| edge_rows=[], | ||
| ) | ||
| matches = { | ||
| (item["match_kind_code"], item["matched_value"]): item | ||
| for item in projection["events"][0]["project_matches"] | ||
| } | ||
| assert ("source_project_name", "p-1") in matches | ||
| assert matches[("source_project_name", "p-1")]["truth_status_code"] == "observed" | ||
| assert matches[("source_project_name", "p-1")]["confidence"] == 0.9 | ||
| assert ("semantic_project_name", "p-1") in matches | ||
| assert matches[("semantic_project_name", "p-1")]["confidence"] is None | ||
| assert ("semantic_project_name", "some-other-project") not in matches | ||
|
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| def test_projection_skips_role_rows_for_unknown_events() -> None: | ||
| event = "11111111-1111-1111-1111-111111111111" | ||
| role_rows = [ | ||
| { | ||
| "post_id": "ghost-event", | ||
| "role_name": "담당자", | ||
| "actor_name": "아무개", | ||
| "responsibility": "작성", | ||
| "actor_type_code": "prov_person", | ||
| "affiliated_organization_name": "영업팀", | ||
| } | ||
| ] | ||
| projection = build_project_history_projection( | ||
| project_key="p-1", | ||
| focus_event_id=None, | ||
| event_rows=[_full_event_row(event)], | ||
| match_rows=[], | ||
| role_rows=role_rows, | ||
| edge_rows=[], | ||
| ) | ||
| assert projection["events"][0]["observed_responsibilities"] == [] | ||
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📝 Info: Backward-edge test asserts a tautology
In
test_prior_paths_skips_backward_or_simultaneous_edgesthe checkall(path["event_ids"][-1] == "spec" ...)is vacuously true: the list is empty, and every path for targetspecends withspecregardless. The test drives coverage but cannot fail even if the backward-edge skip were removed.Was this helpful? React with 👍 or 👎 to provide feedback.