mirror of
https://github.com/tiennm99/DocsGPT.git
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Let workflow runs consume and produce documents end to end: bridge uploaded attachments into run-scoped artifacts so nodes receive the input documents (with a per-run cap and server-computed size/sha256, and the run row pre-created so produced artifacts are authorized during the run); emit the run id to the client and add a builder panel that lists, previews, and downloads a run's artifacts; and allow attaching documents to a Preview run via the existing upload flow. Also fixes issues a compliance workflow surfaced: attachment ownership now keys on the raw identity instead of a sanitized one (the sanitized form could not be read back and could collide across users); workflow code nodes read prior state from a state.json data file instead of templating it into the program, so untrusted document content can never be interpolated into executed code; structured node output wrapped in code fences is recovered; and the live speech-to-text ownership check compares the raw identity.
304 lines
10 KiB
Python
304 lines
10 KiB
Python
"""Unit tests for the workflow ``code`` node and the pass-by-reference convention.
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These exercise the engine's code-node logic with a fake sandbox manager and a
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patched persistence helper (no live gateway / DB / storage), plus the
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serialization round-trip and CEL branching on an artifact reference.
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"""
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import json
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from types import SimpleNamespace
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import pytest
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from application.agents.workflow_agent import WorkflowAgent
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from application.agents.workflows.cel_evaluator import evaluate_cel
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from application.agents.workflows.schemas import (
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NodeType,
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Workflow,
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WorkflowGraph,
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WorkflowNode,
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)
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from application.agents.workflows.workflow_engine import WorkflowEngine
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def _engine() -> WorkflowEngine:
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graph = WorkflowGraph(workflow=Workflow(name="Code Node Test"), nodes=[], edges=[])
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agent = SimpleNamespace(
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endpoint="stream",
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llm_name="openai",
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model_id="gpt-4o-mini",
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api_key="test-key",
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chat_history=[],
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user="user-code",
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decoded_token={"sub": "user-code"},
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)
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return WorkflowEngine(graph, agent, workflow_run_id="11111111-1111-1111-1111-111111111111")
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def _code_node(node_id="code_1", **config) -> WorkflowNode:
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base = {"code": "print('hi')"}
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base.update(config)
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return WorkflowNode(
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id=node_id,
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workflow_id="wf-1",
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type=NodeType.CODE,
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title="Code",
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position={"x": 0, "y": 0},
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config=base,
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)
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class _Result:
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def __init__(self, ok=True, stdout="", error_name=None, error_value=None):
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self.status = "ok" if ok else "error"
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self.stdout = stdout
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self.stderr = ""
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self.error_name = error_name
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self.error_value = error_value
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@property
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def ok(self):
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return self.status == "ok"
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class _FakeManager:
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"""Records open/close/put_file/exec and returns a fixed result; no real sandbox."""
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def __init__(self, result):
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self._result = result
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self.opened = []
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self.closed = []
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self.put_files = []
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self.last_code = None
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def open(self, session_id, ttl=None):
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self.opened.append(session_id)
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return session_id
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def put_file(self, session_id, dest_path, data):
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self.put_files.append((dest_path, data))
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def exec(self, session_id, code, timeout=None):
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self.last_timeout = timeout
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self.last_code = code
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return self._result
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def close(self, session_id):
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self.closed.append(session_id)
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@pytest.fixture()
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def patch_sandbox(monkeypatch):
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"""Patch the sandbox manager + capture helper; return knobs to drive them."""
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state = {"result": _Result(ok=True, stdout="ok"), "captured": [], "snapshot_calls": 0}
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manager_holder = {}
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def _get_manager():
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manager = _FakeManager(state["result"])
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manager_holder["manager"] = manager
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return manager
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monkeypatch.setattr(
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"application.sandbox.sandbox_creator.SandboxCreator.get_manager", _get_manager
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)
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monkeypatch.setattr(
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"application.sandbox.artifacts_capture.snapshot_signatures",
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lambda *a, **k: state.__setitem__("snapshot_calls", state["snapshot_calls"] + 1) or {},
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)
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monkeypatch.setattr(
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"application.sandbox.artifacts_capture.capture_artifacts",
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lambda *a, **k: list(state["captured"]),
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)
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state["manager_holder"] = manager_holder
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return state
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def test_code_node_writes_artifact_reference_into_state(patch_sandbox):
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engine = _engine()
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ref = {
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"artifact_id": "art-1",
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"version": 1,
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"filename": "report.pdf",
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"mime_type": "application/pdf",
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"size": 10,
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}
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patch_sandbox["captured"] = [ref]
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node = _code_node(output_variable="report", code="open('report.pdf','wb').write(b'x')")
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list(engine._execute_code_node(node))
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# The reference (JSON primitives only) lands under both keys; no bytes.
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assert engine.state["node_code_1_output"] == ref
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assert engine.state["report"] == ref
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assert all(not isinstance(v, (bytes, bytearray)) for v in engine.state["report"].values())
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# The sandbox session is bound to the run id and closed after the run.
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manager = patch_sandbox["manager_holder"]["manager"]
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assert manager.opened == ["11111111-1111-1111-1111-111111111111"]
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assert manager.closed == ["11111111-1111-1111-1111-111111111111"]
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def test_code_node_no_artifacts_still_writes_status(patch_sandbox):
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engine = _engine()
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patch_sandbox["captured"] = []
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node = _code_node(output_variable="out", code="print('noop')")
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list(engine._execute_code_node(node))
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assert engine.state["out"] == {"artifacts": [], "status": "ok"}
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def test_code_node_reads_prior_state_from_state_json(patch_sandbox):
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# Prior state is staged as DATA in state.json (workspace root = kernel cwd) so
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# node code reads it with json.load(open("state.json")) -- e.g. state["decision"].
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engine = _engine()
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engine.state["decision"] = {"pass": True, "score": 7}
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node = _code_node(
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output_variable="out",
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code="import json\nd = json.load(open('state.json'))\nprint(d['decision'])\n",
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)
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list(engine._execute_code_node(node))
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manager = patch_sandbox["manager_holder"]["manager"]
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staged = dict(manager.put_files)
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assert "state.json" in staged
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payload = json.loads(staged["state.json"].decode("utf-8"))
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assert payload["decision"] == {"pass": True, "score": 7}
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def test_code_node_literal_braces_passed_verbatim_not_templated(patch_sandbox):
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# Proves code nodes are NOT Jinja-rendered: a literal ``{{ ... }}`` in the code
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# reaches exec() byte-for-byte (no injection path that interpolates state).
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engine = _engine()
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engine.state["decision"] = "INJECTED"
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literal = "x = '{{ agent.decision }}'\nprint(x)\n"
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node = _code_node(output_variable="out", code=literal)
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list(engine._execute_code_node(node))
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manager = patch_sandbox["manager_holder"]["manager"]
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assert manager.last_code == literal
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assert "INJECTED" not in manager.last_code
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def test_code_node_failure_raises(patch_sandbox):
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engine = _engine()
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patch_sandbox["result"] = _Result(ok=False, error_name="ValueError", error_value="boom")
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node = _code_node(code="raise ValueError('boom')")
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with pytest.raises(ValueError, match="failed: ValueError: boom"):
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list(engine._execute_code_node(node))
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def test_code_node_empty_code_raises(patch_sandbox):
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engine = _engine()
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node = _code_node(code=" ")
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with pytest.raises(ValueError, match="no code to execute"):
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list(engine._execute_code_node(node))
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def test_code_node_json_schema_validates_decision(patch_sandbox):
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engine = _engine()
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patch_sandbox["result"] = _Result(ok=True, stdout='{"pass": true, "score": 5}')
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patch_sandbox["captured"] = []
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node = _code_node(
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output_variable="decision",
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code="print('{...}')",
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json_schema={
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"type": "object",
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"properties": {"pass": {"type": "boolean"}, "score": {"type": "integer"}},
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"required": ["pass"],
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},
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)
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list(engine._execute_code_node(node))
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assert engine.state["decision"] == {"pass": True, "score": 5}
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def test_code_node_json_schema_rejects_non_json_stdout(patch_sandbox):
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engine = _engine()
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patch_sandbox["result"] = _Result(ok=True, stdout="not json")
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node = _code_node(
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json_schema={"type": "object"},
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code="print('x')",
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)
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with pytest.raises(ValueError, match="stdout was not valid JSON"):
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list(engine._execute_code_node(node))
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def test_code_node_json_schema_merges_artifact_reference(patch_sandbox):
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engine = _engine()
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ref = {"artifact_id": "art-9", "version": 1, "filename": "r.pdf", "mime_type": "application/pdf", "size": 3}
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patch_sandbox["result"] = _Result(ok=True, stdout='{"pass": false}')
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patch_sandbox["captured"] = [ref]
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node = _code_node(
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output_variable="decision",
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json_schema={"type": "object", "properties": {"pass": {"type": "boolean"}}},
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)
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list(engine._execute_code_node(node))
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decision = engine.state["decision"]
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assert decision["pass"] is False
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assert decision["artifacts"] == [ref]
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def test_code_node_timeout_clamped_to_cap(patch_sandbox, monkeypatch):
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from application.core.settings import settings
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monkeypatch.setattr(settings, "SANDBOX_EXEC_TIMEOUT", 30, raising=False)
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engine = _engine()
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node = _code_node(timeout=9999, code="print('x')")
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list(engine._execute_code_node(node))
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manager = patch_sandbox["manager_holder"]["manager"]
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assert manager.last_timeout == 30.0
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def test_resolve_input_artifact_ids_from_state_refs_and_raw():
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engine = _engine()
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engine.state["report"] = {"artifact_id": "art-from-ref"}
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engine.state["not_a_ref"] = "plain string"
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ids = engine._resolve_input_artifact_ids(["report", "art-raw-id", "not_a_ref"])
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# A state var holding a ref resolves to its artifact_id; any other entry is
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# taken as a raw artifact id (the literal token, not a resolved value).
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assert ids == ["art-from-ref", "art-raw-id", "not_a_ref"]
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# ---------------------------------------------------------------------------
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# Pass-by-reference: survives serialization + CEL branches on the metadata.
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# ---------------------------------------------------------------------------
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def test_artifact_reference_survives_serialize_state_value():
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agent = WorkflowAgent.__new__(WorkflowAgent)
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ref = {
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"artifact_id": "art-1",
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"version": 2,
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"filename": "report.pdf",
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"mime_type": "application/pdf",
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"size": 1234,
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}
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state = {"report": ref, "decision": {"pass": True, "artifacts": [ref]}}
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serialized = agent._serialize_state(state)
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# Every primitive survives untouched (no stringification of the dict ref).
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assert serialized["report"] == ref
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assert serialized["decision"]["pass"] is True
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assert serialized["decision"]["artifacts"][0] == ref
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def test_cel_branches_on_artifact_metadata():
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state = {
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"report": {
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"artifact_id": "art-1",
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"size": 1234,
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"mime_type": "application/pdf",
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}
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}
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assert evaluate_cel('report.size > 0 && report.mime_type == "application/pdf"', state) is True
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assert evaluate_cel('report.mime_type == "text/plain"', state) is False
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assert evaluate_cel("report.size > 5000", state) is False
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