Files
ai-agent-book/tests/test_ch9_verifier_diagnostic_utility.py
liqiang b119135836
Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

78 lines
2.2 KiB
Python

import pytest
import os
import sys
sys.path.insert(0, os.path.abspath("chapter9/trajectory-verifier"))
from verifier import DimensionResult, FAIL, PASS, diagnostic_utility
def test_diagnostic_utility_with_dimension_result_objects():
dim1 = DimensionResult(
dimension="task_resolution",
layer="environment_result",
verdict=FAIL,
score=0.0,
evidence=["mismatch in field x"],
confidence=1.0,
)
dim2 = DimensionResult(
dimension="rule_compliance",
layer="process_rules",
verdict=FAIL,
score=0.0,
evidence=[],
confidence=1.0,
)
report = {"trajectory_id": "traj-1", "dimensions": [dim1, dim2]}
# dim1 has evidence (actionable), dim2 does not -> 1/2 = 0.5
utility = diagnostic_utility(report)
assert utility == 0.5
def test_diagnostic_utility_with_dict_objects():
report = {
"trajectory_id": "traj-2",
"dimensions": [
{"verdict": FAIL, "evidence": ["error log"]},
{"verdict": FAIL, "evidence": []},
{"verdict": PASS, "evidence": []},
],
}
# 2 failures, 1 has evidence -> 0.5
assert diagnostic_utility(report) == 0.5
def test_diagnostic_utility_with_mixed_objects():
dim_obj = DimensionResult(
dimension="task_resolution",
layer="environment_result",
verdict=FAIL,
score=0.0,
evidence=["obj failure detail"],
confidence=1.0,
)
dict_obj = {"verdict": FAIL, "evidence": []}
report = {"trajectory_id": "traj-3", "dimensions": [dim_obj, dict_obj]}
# 2 failures, 1 with evidence -> 0.5
assert diagnostic_utility(report) == 0.5
def test_diagnostic_utility_no_failures():
dim_pass = DimensionResult(
dimension="task_resolution",
layer="environment_result",
verdict=PASS,
score=1.0,
evidence=["success"],
confidence=1.0,
)
report = {"trajectory_id": "traj-4", "dimensions": [dim_pass]}
# 0 failures -> returns 1.0
assert diagnostic_utility(report) == 1.0
def test_diagnostic_utility_empty_dimensions():
assert diagnostic_utility({}) == 1.0
assert diagnostic_utility({"dimensions": []}) == 1.0