49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
from pathlib import Path
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from gfa_core.mas.agents.deepseek_summary import (
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_validate_report,
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collect_figure_inventory,
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select_primary_scope,
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)
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def test_select_primary_scope_prefers_target_plus_reference() -> None:
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summaries = [
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{"stage": "identify", "scope_id": "YABBY.target-BNA.target_only"},
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{"stage": "phylogeny", "scope_id": "YABBY.target-BNA.ref-At.target_plus_reference"},
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{"stage": "motif", "scope_id": "YABBY.target-BNA.ref-At.target_plus_reference"},
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]
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assert select_primary_scope(summaries) == "YABBY.target-BNA.ref-At.target_plus_reference"
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def test_collect_figure_inventory_deduplicates_identical_aliases(tmp_path: Path) -> None:
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final_dir = tmp_path / "final"
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final_dir.mkdir()
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(final_dir / "A.tfbs_motif_source_summary.png").write_bytes(b"same-image")
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(final_dir / "A.tfbs.motif_source_summary.png").write_bytes(b"same-image")
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(final_dir / "A.pep_properties.png").write_bytes(b"different-image")
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figures = collect_figure_inventory(final_dir, [], scope_id="scope")
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assert len(figures) == 2
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assert {item["stage"] for item in figures} == {"tfbs", "pep"}
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def test_report_validation_requires_every_figure_marker() -> None:
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figures = [
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{"marker": "[[FIG:a.png]]"},
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{"marker": "[[FIG:b.png]]"},
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]
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report = (
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"# 报告\n\n任务 job_1\n\n"
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+ "\n\n".join(f"## 章节{i}\n内容" for i in range(1, 10))
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+ "\n\n[[FIG:a.png]]\n"
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+ ("通俗解读。" * 800)
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)
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validation = _validate_report(report, job_id="job_1", figures=figures)
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assert validation["passed"] is False
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assert validation["missing_figure_markers"] == ["[[FIG:b.png]]"]
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