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Measured live against DeepSeek on one pair: the model spends its step budget on tools and then answers in a paragraph that names the sink, the argument and the line -- which parses as nothing. A detector that found the bug and reported zero is indistinguishable from one that found nothing, and every family in round zero would have baselined at zero for this reason alone. The loop now takes one more turn when the hunt ends in prose or runs out of steps, asking the provider for JSON and handing back the reasoning the model already produced. It formats an answer that was reached; it never asks for a new one, and a hunt that called no tool never gets there. Same pair, same model, before and after: recall 0.00 -> 1.00, Youden 0.00 -> 1.00 over three runs per side. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
334 lines
13 KiB
Python
334 lines
13 KiB
Python
import json
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from pathlib import Path
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import pytest
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from openultrasast.complexity.map import Hotspot
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from openultrasast.tool_hunter import ChatResponse, OpenRouterHunterClient, ScriptedChatClient, ToolCall, run_tool_hunter
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SPLIT_SINK = """\
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term = request.args["q"]
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query = "select * from items where title like '%" + term + "%'"
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return db.execute(query)
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"""
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_DUMP_FINDINGS = [
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{
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"path": "app.py",
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"line": 3,
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"title": "SQL injection",
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"rationale": "query is built from request input then executed",
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"evidence_level": "static_corroboration",
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}
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]
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def _repo_with_split_sink(tmp_path: Path) -> Path:
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root = tmp_path / "repo"
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root.mkdir()
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(root / "app.py").write_text(SPLIT_SINK)
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return root
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def _hotspot(path: str = "app.py") -> Hotspot:
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return Hotspot(
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path=path,
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function_name="search",
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score=7.5,
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band="high",
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signals={"loc": 3},
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rationale="reachable split-sink",
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test_hint=None,
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inventory_finding_ids=(),
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)
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def _tool_names(tools: object) -> set[str]:
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names: set[str] = set()
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if not isinstance(tools, list):
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return names
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for item in tools:
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if not isinstance(item, dict):
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continue
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function = item.get("function")
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if isinstance(function, dict) and isinstance(function.get("name"), str):
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names.add(str(function["name"]))
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elif isinstance(item.get("name"), str):
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names.add(str(item["name"]))
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return names
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def test_json_dump_without_tool_call_emits_no_findings(tmp_path: Path) -> None:
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root = _repo_with_split_sink(tmp_path)
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client = ScriptedChatClient([ChatResponse(content=json.dumps(_DUMP_FINDINGS))])
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findings = run_tool_hunter(root, [_hotspot()], client=client, model="test-hunter", max_steps=4)
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assert client.calls, "the hunter loop must run when a model client is provided"
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assert _tool_names(client.calls[0]["tools"]) >= {"read_file", "grep_repo", "find_refs"}
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assert findings == []
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def test_grep_then_json_yields_suspicion_with_tool_hunter_prefix(tmp_path: Path) -> None:
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root = _repo_with_split_sink(tmp_path)
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client = ScriptedChatClient(
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[
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ChatResponse(tool_calls=(ToolCall(id="call_grep", name="grep_repo", arguments={"pattern": r"query\s*=", "max_matches": 10}),)),
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ChatResponse(content=json.dumps(_DUMP_FINDINGS)),
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]
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)
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findings = run_tool_hunter(root, [_hotspot()], client=client, model="test-hunter", max_steps=4)
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assert len(client.calls) >= 2
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assert _tool_names(client.calls[0]["tools"]) >= {"read_file", "grep_repo", "find_refs"}
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tool_trace = json.dumps(client.calls[1]["messages"])
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assert "query =" in tool_trace
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assert len(findings) == 1
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assert findings[0].evidence_level == "suspicion"
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assert findings[0].finding_id.startswith("tool-hunter:")
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assert findings[0].path == "app.py"
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assert findings[0].line == 3
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assert findings[0].title == "SQL injection"
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def test_loop_dispatches_read_file_grep_repo_and_find_refs(tmp_path: Path) -> None:
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root = _repo_with_split_sink(tmp_path)
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client = ScriptedChatClient(
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[
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ChatResponse(
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tool_calls=(
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ToolCall(id="call_read", name="read_file", arguments={"path": "app.py", "max_chars": 4000}),
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ToolCall(id="call_grep", name="grep_repo", arguments={"pattern": r"db\.execute", "max_matches": 5}),
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ToolCall(id="call_refs", name="find_refs", arguments={"symbol": "query"}),
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)
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),
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ChatResponse(content=json.dumps(_DUMP_FINDINGS)),
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]
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)
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findings = run_tool_hunter(root, [_hotspot()], client=client, model="test-hunter", max_steps=4)
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assert findings
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assert findings[0].evidence_level == "suspicion"
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second_messages = json.dumps(client.calls[1]["messages"])
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assert "term = request.args" in second_messages
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assert "db.execute" in second_messages
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assert "query" in second_messages
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def test_path_escape_stays_in_band_and_still_counts_as_tool_use(tmp_path: Path) -> None:
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root = _repo_with_split_sink(tmp_path)
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client = ScriptedChatClient(
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[
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ChatResponse(tool_calls=(ToolCall(id="call_escape", name="read_file", arguments={"path": "../etc/passwd"}),)),
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ChatResponse(content=json.dumps(_DUMP_FINDINGS)),
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]
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)
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findings = run_tool_hunter(root, [_hotspot()], client=client, model="test-hunter", max_steps=4)
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assert findings
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assert findings[0].evidence_level == "suspicion"
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assert "error" in json.dumps(client.calls[1]["messages"]).lower()
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def test_a_budget_that_runs_out_mid_hunt_still_asks_for_the_answer(tmp_path: Path) -> None:
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"""The step budget bounds the *investigation*, not the report.
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This used to discard everything when the last step was a tool call: the loop had a tool result in hand and
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threw it away because it had no turn left to ask about it. What the budget must still refuse is a findings
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dump from a hunt that called no tool at all, which `test_hunter_dump_only_findings_are_rejected` pins.
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"""
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root = _repo_with_split_sink(tmp_path)
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client = ScriptedChatClient(
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[
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ChatResponse(tool_calls=(ToolCall(id="call_grep", name="grep_repo", arguments={"pattern": "query"}),)),
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ChatResponse(content=json.dumps(_DUMP_FINDINGS)),
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]
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)
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findings = run_tool_hunter(root, [_hotspot()], client=client, model="test-hunter", max_steps=1)
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assert [item.line for item in findings] == [item["line"] for item in _DUMP_FINDINGS]
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assert len(client.calls) == 2 and client.calls[-1].get("json_object") is True
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_UNSAFE_SNIPPET = 'client = docker.DockerClient(base_url="unix://var/run/docker.sock")\n'
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_VULN = "@app.route('/admin')\ndef admin():\n return eval(request.data)\n"
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def test_hunter_json_snippet_stays_suspicion_and_is_not_static_corroboration(tmp_path: Path) -> None:
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root = _repo_with_split_sink(tmp_path)
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payload = [{**_DUMP_FINDINGS[0], "snippet": _UNSAFE_SNIPPET, "evidence_level": "static_corroboration"}]
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client = ScriptedChatClient(
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[
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ChatResponse(tool_calls=(ToolCall(id="call_grep", name="grep_repo", arguments={"pattern": "query"}),)),
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ChatResponse(content=json.dumps(payload)),
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]
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)
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findings = run_tool_hunter(root, [_hotspot()], client=client, model="test-hunter", max_steps=4)
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assert len(findings) == 1
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assert findings[0].evidence_level == "suspicion"
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assert findings[0].finding_id.startswith("tool-hunter:")
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assert findings[0].proposed_snippet == _UNSAFE_SNIPPET
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def _write_hunter_config(tmp_path: Path, body: str = '[models]\nhunter = "test-hunter"\n') -> Path:
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config = tmp_path / "openultrasast.toml"
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config.write_text(body)
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return config
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def _standard_repo(tmp_path: Path) -> Path:
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repo = tmp_path / "repo"
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repo.mkdir()
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(repo / "app.py").write_text(_VULN)
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return repo
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def _latest_run(repo: Path) -> Path:
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return sorted((repo / ".runs").iterdir())[-1]
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def _guard_docker(monkeypatch: pytest.MonkeyPatch) -> list[list[str]]:
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import subprocess
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from openultrasast.sandbox import runner as sandbox_runner
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docker_argv: list[list[str]] = []
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original_run = subprocess.run
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def guarded_run(command: object, *args: object, **kwargs: object) -> object:
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argv = list(command) if isinstance(command, list | tuple) else [command]
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if argv and Path(str(argv[0])).name == "docker":
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docker_argv.append([str(item) for item in argv])
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raise AssertionError(f"hunter scan test must not start docker: {argv}")
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return original_run(command, *args, **kwargs)
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def fail(*args: object, **kwargs: object) -> object:
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raise AssertionError("hunter scan test must not use DockerCliRunner")
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monkeypatch.setattr(subprocess, "run", guarded_run)
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monkeypatch.setattr(sandbox_runner.DockerCliRunner, "run", fail)
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return docker_argv
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def test_standard_scripted_hunter_emits_tool_hunter_suspicion(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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from openultrasast import cli, tool_hunter
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from openultrasast.cli import main
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repo = _standard_repo(tmp_path)
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config = _write_hunter_config(tmp_path)
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monkeypatch.setenv("OPENULTRASAST_RUNS_DIR", ".runs")
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monkeypatch.setenv("OPENULTRASAST_HUNTER_CLIENT", "scripted")
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monkeypatch.setattr(cli, "has_harnessx", lambda: False)
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docker_argv = _guard_docker(monkeypatch)
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hunter_calls: list[int] = []
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real_hunter = tool_hunter.run_tool_hunter
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def wrapped(*args: object, **kwargs: object) -> object:
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hunter_calls.append(1)
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return real_hunter(*args, **kwargs)
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monkeypatch.setattr(tool_hunter, "run_tool_hunter", wrapped)
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assert main(["scan", str(repo), "--mode", "standard", "--config", str(config)]) == 0
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run_dir = _latest_run(repo)
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findings = json.loads((run_dir / "findings.json").read_text())["findings"]
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complexity_map = json.loads((run_dir / "complexity_map.json").read_text())
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manifest = json.loads((run_dir / "manifest.json").read_text())
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hunter_findings = [item for item in findings if str(item["finding_id"]).startswith("tool-hunter:")]
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assert hunter_calls
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assert docker_argv == []
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assert hunter_findings
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assert all(item["evidence_level"] == "suspicion" for item in hunter_findings)
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assert all(item["evidence_level"] != "static_corroboration" for item in hunter_findings)
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assert complexity_map["heuristic_only"] is False
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assert manifest["complexity"]["heuristic_only"] is False
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assert not any(entry.get("reason") == "hunter_model_unavailable" for entry in manifest.get("degradations", []))
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def test_dump_only_hunter_client_emits_no_hunter_findings(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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from openultrasast import cli, tool_hunter
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from openultrasast.cli import main
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repo = _standard_repo(tmp_path)
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config = _write_hunter_config(tmp_path)
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monkeypatch.setenv("OPENULTRASAST_RUNS_DIR", ".runs")
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monkeypatch.setenv("OPENULTRASAST_HUNTER_CLIENT", "dump-only")
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monkeypatch.setattr(cli, "has_harnessx", lambda: False)
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docker_argv = _guard_docker(monkeypatch)
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hunter_calls: list[int] = []
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real_hunter = tool_hunter.run_tool_hunter
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def wrapped(*args: object, **kwargs: object) -> object:
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hunter_calls.append(1)
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return real_hunter(*args, **kwargs)
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monkeypatch.setattr(tool_hunter, "run_tool_hunter", wrapped)
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assert main(["scan", str(repo), "--mode", "standard", "--config", str(config)]) == 0
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run_dir = _latest_run(repo)
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findings = json.loads((run_dir / "findings.json").read_text())["findings"]
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complexity_map = json.loads((run_dir / "complexity_map.json").read_text())
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hunter_findings = [item for item in findings if str(item["finding_id"]).startswith("tool-hunter:")]
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assert hunter_calls, "dump-only still runs the tool hunter loop"
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assert docker_argv == []
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assert hunter_findings == []
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assert complexity_map["heuristic_only"] is False
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def test_resolve_hunter_client_scripted_and_dump_only_env(monkeypatch: pytest.MonkeyPatch) -> None:
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from openultrasast import tool_hunter
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monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
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monkeypatch.setenv("OPENULTRASAST_HUNTER_CLIENT", "scripted")
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scripted = tool_hunter.resolve_hunter_client()
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assert scripted is not None
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assert type(scripted).__name__ == "ScriptedChatClient"
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monkeypatch.setenv("OPENULTRASAST_HUNTER_CLIENT", "dump-only")
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dump_only = tool_hunter.resolve_hunter_client()
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assert dump_only is not None
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assert type(dump_only).__name__ == "ScriptedChatClient"
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assert dump_only is not scripted
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monkeypatch.delenv("OPENULTRASAST_HUNTER_CLIENT", raising=False)
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assert tool_hunter.resolve_hunter_client() is None
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monkeypatch.setenv("OPENROUTER_API_KEY", "test-key")
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live = tool_hunter.resolve_hunter_client()
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assert isinstance(live, OpenRouterHunterClient)
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def test_openrouter_hunter_client_maps_tool_calls_without_network() -> None:
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class _Inner:
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def complete_chat(self, **kwargs: object) -> dict[str, object]:
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assert kwargs["model"] == "test-hunter"
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assert kwargs["tools"]
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return {
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"content": None,
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"tool_calls": [
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{
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"id": "call_grep",
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"type": "function",
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"function": {"name": "grep_repo", "arguments": '{"pattern": "eval", "max_matches": 4}'},
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}
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],
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}
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client = OpenRouterHunterClient(_Inner()) # type: ignore[arg-type]
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response = client.complete(model="test-hunter", messages=[], tools=[{"type": "function"}], timeout_seconds=5)
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assert response.content is None
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assert len(response.tool_calls) == 1
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assert response.tool_calls[0].name == "grep_repo"
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assert response.tool_calls[0].arguments == {"pattern": "eval", "max_matches": 4}
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