Files
2026-07-13 12:36:35 +08:00

82 lines
3.0 KiB
Python

import json
from pathlib import Path
from plugin_eval.engine import EvalEngine
from plugin_eval.models import Depth, EvalConfig
from plugin_eval.reporter import Reporter, _effective_depth
class TestReporter:
def test_json_output(self, sample_skill_dir: Path):
config = EvalConfig(depth=Depth.QUICK)
engine = EvalEngine(config)
result = engine.evaluate_skill(sample_skill_dir)
reporter = Reporter()
output = reporter.to_json(result)
parsed = json.loads(output)
assert "composite" in parsed
assert "layers" in parsed
assert parsed["composite"]["confidence_label"] == "Estimated"
def test_markdown_output(self, sample_skill_dir: Path):
config = EvalConfig(depth=Depth.QUICK)
engine = EvalEngine(config)
result = engine.evaluate_skill(sample_skill_dir)
reporter = Reporter()
output = reporter.to_markdown(result)
assert "# PluginEval Report" in output
assert "Overall Score" in output
assert "Layer Breakdown" in output
assert "Dimension Scores" in output
class TestDepthDowngradeWarning:
"""When plugin-level evaluation silently downgrades a deep/standard request
to static-only, the reporter must surface the downgrade in-band so the
consumer cannot mistake the score for a deeply-evaluated one.
"""
def test_effective_depth_matches_layers_run(self, sample_skill_dir: Path) -> None:
config = EvalConfig(depth=Depth.QUICK)
engine = EvalEngine(config)
result = engine.evaluate_skill(sample_skill_dir)
assert _effective_depth(result) is Depth.QUICK
def test_markdown_shows_no_warning_when_depth_was_honored(
self, sample_skill_dir: Path
) -> None:
config = EvalConfig(depth=Depth.QUICK)
engine = EvalEngine(config)
result = engine.evaluate_skill(sample_skill_dir)
output = Reporter().to_markdown(result)
assert "(requested)" not in output
assert "downgraded" not in output
def test_markdown_shows_warning_when_plugin_eval_downgrades_depth(
self, sample_plugin_dir: Path
) -> None:
# Plugin-level eval at deep depth: the engine runs only the static
# layer regardless. The report must say so clearly.
config = EvalConfig(depth=Depth.DEEP)
engine = EvalEngine(config)
result = engine.evaluate_plugin(sample_plugin_dir)
output = Reporter().to_markdown(result)
assert "deep (requested)" in output
assert "quick (effective)" in output
assert "downgraded" in output
def test_markdown_shows_warning_when_standard_depth_is_downgraded(
self, sample_plugin_dir: Path
) -> None:
config = EvalConfig(depth=Depth.STANDARD)
engine = EvalEngine(config)
result = engine.evaluate_plugin(sample_plugin_dir)
output = Reporter().to_markdown(result)
assert "standard (requested)" in output
assert "quick (effective)" in output