Files
deer-flow/backend/tests/test_security_scanner.py
T
Willem Jiang a814ab50b5 fix(skills): make security scanner JSON parsing robust for LLM output variations (#2987)
The moderation model's response was silently falling through to a
  conservative block when LLMs wrapped structured output in markdown
  code fences, added prose around the JSON, returned case-variant
  decisions (e.g. "Allow"), or included nested braces in the reason
  field. The greedy `\{.*\}` regex also over-matched on nested braces.

  - Rewrite _extract_json_object() with markdown fence stripping and
    brace-balanced string-aware extraction
  - Normalize decision field to lowercase for case-insensitive matching
  - Distinguish "model unavailable" from "unparseable output" in fallback
  - Strengthen system prompt to explicitly forbid code fences and prose
  - Add 15 tests covering all reported scenarios

  Fixes #2985
2026-05-17 08:59:42 +08:00

142 lines
5.3 KiB
Python

from types import SimpleNamespace
import pytest
from deerflow.skills.security_scanner import _extract_json_object, scan_skill_content
def _make_env(monkeypatch, response_content):
config = SimpleNamespace(skill_evolution=SimpleNamespace(moderation_model_name=None))
fake_response = SimpleNamespace(content=response_content)
class FakeModel:
async def ainvoke(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
return fake_response
model = FakeModel()
monkeypatch.setattr("deerflow.skills.security_scanner.get_app_config", lambda: config)
monkeypatch.setattr("deerflow.skills.security_scanner.create_chat_model", lambda **kwargs: model)
return model
SKILL_CONTENT = "---\nname: demo-skill\ndescription: demo\n---\n"
# --- _extract_json_object unit tests ---
def test_extract_json_plain():
assert _extract_json_object('{"decision":"allow","reason":"ok"}') == {"decision": "allow", "reason": "ok"}
def test_extract_json_markdown_fence():
raw = '```json\n{"decision": "allow", "reason": "ok"}\n```'
assert _extract_json_object(raw) == {"decision": "allow", "reason": "ok"}
def test_extract_json_fence_no_language():
raw = '```\n{"decision": "allow", "reason": "ok"}\n```'
assert _extract_json_object(raw) == {"decision": "allow", "reason": "ok"}
def test_extract_json_prose_wrapped():
raw = 'Looking at this content I conclude: {"decision": "allow", "reason": "clean"} and that is final.'
assert _extract_json_object(raw) == {"decision": "allow", "reason": "clean"}
def test_extract_json_nested_braces_in_reason():
raw = '{"decision": "allow", "reason": "no issues with {placeholder} found"}'
assert _extract_json_object(raw) == {"decision": "allow", "reason": "no issues with {placeholder} found"}
def test_extract_json_nested_braces_code_snippet():
raw = 'Here is my review: {"decision": "block", "reason": "contains {\\"x\\": 1} code injection"}'
assert _extract_json_object(raw) == {"decision": "block", "reason": 'contains {"x": 1} code injection'}
def test_extract_json_returns_none_for_garbage():
assert _extract_json_object("no json here") is None
def test_extract_json_returns_none_for_unclosed_brace():
assert _extract_json_object('{"decision": "allow"') is None
# --- scan_skill_content integration tests ---
@pytest.mark.anyio
async def test_scan_skill_content_passes_run_name_to_model(monkeypatch):
model = _make_env(monkeypatch, '{"decision":"allow","reason":"ok"}')
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "allow"
assert model.kwargs["config"] == {"run_name": "security_agent"}
@pytest.mark.anyio
async def test_scan_skill_content_blocks_when_model_unavailable(monkeypatch):
config = SimpleNamespace(skill_evolution=SimpleNamespace(moderation_model_name=None))
monkeypatch.setattr("deerflow.skills.security_scanner.get_app_config", lambda: config)
monkeypatch.setattr("deerflow.skills.security_scanner.create_chat_model", lambda **kwargs: (_ for _ in ()).throw(RuntimeError("boom")))
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "block"
assert "unavailable" in result.reason
@pytest.mark.anyio
async def test_scan_allows_markdown_fenced_response(monkeypatch):
_make_env(monkeypatch, '```json\n{"decision": "allow", "reason": "clean"}\n```')
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "allow"
assert result.reason == "clean"
@pytest.mark.anyio
async def test_scan_normalizes_decision_case(monkeypatch):
_make_env(monkeypatch, '{"decision": "Allow", "reason": "looks fine"}')
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "allow"
@pytest.mark.anyio
async def test_scan_normalizes_uppercase_decision(monkeypatch):
_make_env(monkeypatch, '{"decision": "BLOCK", "reason": "dangerous"}')
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "block"
@pytest.mark.anyio
async def test_scan_handles_nested_braces_in_reason(monkeypatch):
_make_env(monkeypatch, '{"decision": "allow", "reason": "no issues with {placeholder}"}')
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "allow"
assert "{placeholder}" in result.reason
@pytest.mark.anyio
async def test_scan_handles_prose_wrapped_json(monkeypatch):
_make_env(monkeypatch, 'I reviewed the content: {"decision": "allow", "reason": "safe"}\nDone.')
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "allow"
@pytest.mark.anyio
async def test_scan_distinguishes_unparseable_from_unavailable(monkeypatch):
_make_env(monkeypatch, "I can't decide, this is just prose without any JSON at all.")
result = await scan_skill_content(SKILL_CONTENT, executable=False)
assert result.decision == "block"
assert "unparseable" in result.reason
@pytest.mark.anyio
async def test_scan_distinguishes_unparseable_executable(monkeypatch):
_make_env(monkeypatch, "no json here")
result = await scan_skill_content(SKILL_CONTENT, executable=True)
# Even for executable content, unparseable uses the unparseable message
assert result.decision == "block"
assert "unparseable" in result.reason