90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
from pathlib import Path
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from unittest.mock import patch
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from typer.testing import CliRunner
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from plugin_eval.cli import app
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from plugin_eval.models import (
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CompositeResult,
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Depth,
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EvalConfig,
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LayerResult,
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PluginEvalResult,
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)
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runner = CliRunner()
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class TestCLI:
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def test_score_quick(self, sample_skill_dir: Path):
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result = runner.invoke(app, ["score", str(sample_skill_dir), "--depth", "quick"])
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assert result.exit_code == 0
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def test_score_json_output(self, sample_skill_dir: Path):
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result = runner.invoke(
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app, ["score", str(sample_skill_dir), "--depth", "quick", "--output", "json"]
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)
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assert result.exit_code == 0
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assert '"composite"' in result.stdout
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def test_score_markdown_output(self, sample_skill_dir: Path):
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result = runner.invoke(
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app, ["score", str(sample_skill_dir), "--depth", "quick", "--output", "markdown"]
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)
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assert result.exit_code == 0
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assert "PluginEval Report" in result.stdout
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def test_score_nonexistent_path(self, tmp_path: Path):
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result = runner.invoke(app, ["score", str(tmp_path / "nonexistent")])
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assert result.exit_code == 2
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def test_plugin_eval_at_deep_depth_emits_downgrade_warning(
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self, sample_plugin_dir: Path
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) -> None:
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"""Plugin-level evaluation only runs the static layer; certify-style
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invocations at deep depth must warn the user that the deeper layers
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were skipped, not silently produce a static-only report.
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"""
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result = runner.invoke(
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app,
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["certify", str(sample_plugin_dir), "--output", "markdown"],
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)
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assert result.exit_code == 0
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# Click 8.3+ exposes stdout/stderr as separate attributes by default.
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assert "warning" in result.stderr.lower()
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assert "plugin-level" in result.stderr.lower()
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assert "deep" in result.stderr.lower()
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def test_plugin_eval_at_quick_depth_does_not_warn(self, sample_plugin_dir: Path) -> None:
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"""No warning when the requested depth is already static-only."""
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result = runner.invoke(
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app,
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["score", str(sample_plugin_dir), "--depth", "quick"],
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)
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assert result.exit_code == 0
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assert "warning" not in result.stderr.lower()
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def test_score_warns_when_judge_unmeasured(sample_skill_dir):
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fake = PluginEvalResult(
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plugin_path=str(sample_skill_dir),
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timestamp="t",
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config=EvalConfig(depth=Depth.STANDARD),
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layers=[
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LayerResult(layer="static", score=0.8, sub_scores={}),
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LayerResult(
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layer="judge",
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score=0.0,
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sub_scores={},
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metadata={"unmeasured": ["triggering_accuracy", "output_quality"]},
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),
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],
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composite=CompositeResult(score=60.0),
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)
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with patch("plugin_eval.cli.EvalEngine") as Eng:
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Eng.return_value.evaluate_skill.return_value = fake
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result = CliRunner().invoke(app, ["score", str(sample_skill_dir), "--output", "json"])
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assert result.exit_code == 0
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assert "judge" in result.stderr.lower()
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assert "unmeasured" in result.stderr.lower() or "could not" in result.stderr.lower()
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