mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-08-10 23:08:45 +00:00
* feat(extensions): add middleware plugin foundation * fix(extensions): stop config resolution from masking extension loading `create_app()` resolved the configured plugin list inside the fail-open guard around `load_extensions()`. CI has no `config.yaml` (gitignored and never generated by the workflow), so `get_app_config()` raised `FileNotFoundError` there and was swallowed as an extension failure -- `load_extensions()` never ran at all, and the four `create_app()` tests in `test_extension_app_loading.py` passed locally but failed on every runner. Resolve the plugin list before the guard. Only an absent `config.yaml` is tolerated, mirroring `_resolve_trace_enabled_for_app_construction()`: `create_app()` runs at import time, and lifespan still performs strict config loading before serving. A `config.yaml` that exists but fails to parse or validate now propagates instead of being reported as an extension failure -- reporting it as the latter silently dropped a `required: true` extension rather than failing the boot. Make the tests config-independent with an autouse `stub_app_config` fixture, following the existing pattern in `test_gateway_lifespan_shutdown.py`, and cover both new branches of the config-resolution boundary. * fix(extensions): bind the run's extension snapshot through subagent delegation The lead-agent path resolves one immutable loaded-extension snapshot per run and binds it through task-store allocation and graph construction, but the subagent path re-read the process-wide singleton at execution time. In production both are the same object, yet a `set_loaded_extensions()` between the lead run's start and a subagent's execution (test teardown, a future hot-reload path) would let one run mix two extension generations — exactly what the documented invariant exists to prevent. The graph-build binding is a ContextVar scoped to synchronous construction, so it has already exited by the time a tool delegates; the snapshot has to travel through runtime context instead. The run worker publishes it under the host-internal `EXTENSION_SNAPSHOT_CONTEXT_KEY` (written after the caller merge, popped when the run has none, so a caller-supplied value is never authoritative), `task_tool` reads it back through the type-checking `resolve_run_extensions()`, and `SubagentExecutor` binds it at construction. Callers outside the Gateway run path — embedded `DeerFlowClient`, standalone LangGraph Server — install no snapshot and keep the existing `get_loaded_extensions()` fallback. * refactor(extensions): defer the ordering table by call, not by a lying tuple `CORE_ORDERING_CONSTRAINTS` was a `tuple` subclass that overrode only `__iter__` and resolved into a class-level `_resolved` side channel. A tuple cannot populate its own storage after construction, so the instance stayed the empty tuple it was built as: `len()` was 0, `bool()` was False, `in` was always False, indexing raised, slicing and `reversed()` came back empty, and it compared unequal to the plain tuples tests substitute for it — all while iteration yielded the real constraints. Only `assert_ordering` consumed it, and only by iterating, so the split went unnoticed. The sibling `_AnchorTable(dict)` uses the same idea soundly because dict is mutable: `self.update()` fills the real storage, making every inherited operation correct. That trick does not survive the port to an immutable type. Replace it with `core_ordering_constraints()`, matching how `stack.py` defers the same kind of table via `_anchors()`. The deferral is kept — it is about dependency direction, not just cycles: `extensions/` is the layer the middleware layer calls into, so a module-scope `agents.middlewares` import here points the dependency backwards and closes a cycle as soon as any middleware imports something under `extensions/` at module level. Resolution stays at `assert_ordering` time, which already runs inside the middleware builder. Tests pin both halves: the returned value is a plain tuple whose len/bool/ membership/indexing/reversal/equality agree with iteration, and a subprocess probe asserts importing `extensions.ordering` does not load the middleware layer while calling the function does.
402 lines
12 KiB
Python
402 lines
12 KiB
Python
"""Tests for resolving semantic placements into real stack positions."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from deerflow_extension_api import (
|
|
AgentBuildContext,
|
|
AgentScope,
|
|
MiddlewarePlacement,
|
|
Placement,
|
|
)
|
|
from langchain.agents import create_agent
|
|
from langchain.agents.middleware import AgentMiddleware
|
|
from langchain_core.language_models.fake_chat_models import FakeMessagesListChatModel
|
|
from langchain_core.messages import AIMessage
|
|
|
|
from deerflow.extensions.anchors import PlacementAnchor, inner_of, innermost, outer_of, outermost
|
|
from deerflow.extensions.injection import inject_middlewares
|
|
from deerflow.extensions.registry import ExtensionRegistry
|
|
|
|
|
|
class _Core:
|
|
"""Stand-in for a core middleware; only its type matters for anchoring."""
|
|
|
|
|
|
class _Retry(_Core):
|
|
pass
|
|
|
|
|
|
class _Transform(_Core):
|
|
pass
|
|
|
|
|
|
class _ToolError(_Core):
|
|
pass
|
|
|
|
|
|
class _Last(_Core):
|
|
pass
|
|
|
|
|
|
class _Probe(AgentMiddleware):
|
|
def __init__(self, tag: str) -> None:
|
|
super().__init__()
|
|
self.tag = tag
|
|
|
|
|
|
class _NamedCoreMiddleware(AgentMiddleware):
|
|
def __init__(self, name: str) -> None:
|
|
super().__init__()
|
|
self._name = name
|
|
|
|
@property
|
|
def name(self) -> str:
|
|
return self._name
|
|
|
|
|
|
class _FakeModel(FakeMessagesListChatModel):
|
|
def bind_tools(self, tools, **kwargs): # type: ignore[override]
|
|
return self
|
|
|
|
|
|
_ANCHORS = {
|
|
Placement.MODEL_LOGICAL: outer_of(_Retry),
|
|
Placement.MODEL_PHYSICAL: inner_of(_Transform),
|
|
Placement.TOOL_VISIBLE: outermost(),
|
|
Placement.TOOL_RAW: inner_of(_ToolError),
|
|
Placement.STANDARD: outer_of(_Last),
|
|
}
|
|
|
|
|
|
def _stack() -> list[object]:
|
|
return [_Retry(), _Transform(), _ToolError(), _Last()]
|
|
|
|
|
|
def _contributor(*placements: MiddlewarePlacement):
|
|
class _C:
|
|
def contribute_middlewares(self, app_store, ctx):
|
|
return placements
|
|
|
|
return _C()
|
|
|
|
|
|
def _extensions(*placements: MiddlewarePlacement):
|
|
registry = ExtensionRegistry()
|
|
with registry.attributed_to("demo:install"):
|
|
registry.middlewares(_contributor(*placements))
|
|
return registry.build()
|
|
|
|
|
|
def _ctx() -> AgentBuildContext:
|
|
return AgentBuildContext(scope=AgentScope.LEAD)
|
|
|
|
|
|
def _tags(stack: list[object]) -> list[str]:
|
|
from deerflow.extensions.isolation import IsolatedMiddleware
|
|
|
|
out = []
|
|
for m in stack:
|
|
target = m.inner if isinstance(m, IsolatedMiddleware) else m
|
|
out.append(target.tag if isinstance(target, _Probe) else type(target).__name__)
|
|
return out
|
|
|
|
|
|
def test_outermost_lands_at_index_zero():
|
|
probe = _Probe("visible")
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(probe, Placement.TOOL_VISIBLE)),
|
|
)
|
|
assert _tags(result)[0] == "visible"
|
|
|
|
|
|
def test_outer_of_lands_immediately_before_the_anchor():
|
|
probe = _Probe("decision")
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(probe, Placement.MODEL_LOGICAL)),
|
|
)
|
|
assert _tags(result) == ["decision", "_Retry", "_Transform", "_ToolError", "_Last"]
|
|
|
|
|
|
def test_inner_of_lands_immediately_after_the_anchor():
|
|
probe = _Probe("attempt")
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(probe, Placement.MODEL_PHYSICAL)),
|
|
)
|
|
assert _tags(result) == ["_Retry", "_Transform", "attempt", "_ToolError", "_Last"]
|
|
|
|
|
|
def test_all_four_placements_nest_correctly():
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(
|
|
MiddlewarePlacement(_Probe("visible"), Placement.TOOL_VISIBLE),
|
|
MiddlewarePlacement(_Probe("decision"), Placement.MODEL_LOGICAL),
|
|
MiddlewarePlacement(_Probe("attempt"), Placement.MODEL_PHYSICAL),
|
|
MiddlewarePlacement(_Probe("raw"), Placement.TOOL_RAW),
|
|
),
|
|
)
|
|
assert _tags(result) == [
|
|
"visible",
|
|
"decision",
|
|
"_Retry",
|
|
"_Transform",
|
|
"attempt",
|
|
"_ToolError",
|
|
"raw",
|
|
"_Last",
|
|
]
|
|
|
|
|
|
def test_multiple_extension_middlewares_can_compile_into_one_agent():
|
|
result, _, _ = inject_middlewares(
|
|
[],
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(
|
|
MiddlewarePlacement(_Probe("first"), Placement.TOOL_VISIBLE),
|
|
MiddlewarePlacement(_Probe("second"), Placement.TOOL_VISIBLE),
|
|
),
|
|
)
|
|
|
|
agent = create_agent(
|
|
_FakeModel(responses=[AIMessage(content="ok")]),
|
|
middleware=result,
|
|
)
|
|
|
|
assert agent is not None
|
|
|
|
|
|
def test_extension_middleware_names_avoid_langgraph_reserved_characters():
|
|
result, _, _ = inject_middlewares(
|
|
[],
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(_Probe("probe"), Placement.TOOL_VISIBLE)),
|
|
)
|
|
|
|
names = [middleware.name for middleware in result]
|
|
assert all(":" not in name and "|" not in name for name in names)
|
|
|
|
|
|
def test_extension_middleware_names_are_stable_across_equivalent_builds():
|
|
def build_names() -> list[str]:
|
|
result, _, _ = inject_middlewares(
|
|
[],
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(
|
|
MiddlewarePlacement(_Probe("first"), Placement.TOOL_VISIBLE),
|
|
MiddlewarePlacement(_Probe("second"), Placement.TOOL_VISIBLE),
|
|
),
|
|
)
|
|
return [middleware.name for middleware in result]
|
|
|
|
assert build_names() == build_names()
|
|
|
|
|
|
def test_extension_middleware_name_does_not_collide_with_the_core_stack():
|
|
placement = MiddlewarePlacement(_Probe("probe"), Placement.TOOL_VISIBLE)
|
|
first_result, _, _ = inject_middlewares(
|
|
[],
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(placement),
|
|
)
|
|
core = _NamedCoreMiddleware(first_result[0].name)
|
|
|
|
result, _, _ = inject_middlewares(
|
|
[core],
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(placement),
|
|
)
|
|
|
|
agent = create_agent(
|
|
_FakeModel(responses=[AIMessage(content="ok")]),
|
|
middleware=result,
|
|
)
|
|
assert agent is not None
|
|
|
|
|
|
def test_scope_filters_out_non_matching_contributions():
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.SUBAGENT,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(_Probe("lead-only"), Placement.STANDARD, scope=AgentScope.LEAD)),
|
|
)
|
|
assert "lead-only" not in _tags(result)
|
|
|
|
|
|
def test_scope_both_applies_everywhere():
|
|
for scope in (AgentScope.LEAD, AgentScope.SUBAGENT):
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
scope,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(_Probe("everywhere"), Placement.STANDARD)),
|
|
)
|
|
assert "everywhere" in _tags(result)
|
|
|
|
|
|
def test_order_field_breaks_ties_within_a_placement():
|
|
result, _, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(
|
|
MiddlewarePlacement(_Probe("second"), Placement.TOOL_VISIBLE, order=10),
|
|
MiddlewarePlacement(_Probe("first"), Placement.TOOL_VISIBLE, order=1),
|
|
),
|
|
)
|
|
assert _tags(result)[:2] == ["first", "second"]
|
|
|
|
|
|
def test_provenance_maps_index_to_source():
|
|
probe = _Probe("visible")
|
|
result, provenance, _ = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(probe, Placement.TOOL_VISIBLE)),
|
|
)
|
|
assert provenance[0] == "demo:install"
|
|
assert 1 not in provenance, "core middlewares carry no extension provenance"
|
|
|
|
|
|
def test_missing_anchor_falls_back_and_warns():
|
|
"""A conditionally-built stack may lack the anchor. Degrading silently
|
|
would change what the extension observes with no signal."""
|
|
anchors = {Placement.MODEL_PHYSICAL: PlacementAnchor.of(inner_of(_Transform), innermost())}
|
|
stack = [_Retry(), _ToolError()] # no _Transform
|
|
result, _, diagnostics = inject_middlewares(
|
|
stack,
|
|
anchors,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(_Probe("attempt"), Placement.MODEL_PHYSICAL)),
|
|
)
|
|
assert _tags(result)[-1] == "attempt"
|
|
assert [d.level for d in diagnostics] == ["warning"]
|
|
assert "MODEL_PHYSICAL" in diagnostics[0].message
|
|
|
|
|
|
def test_no_contributors_returns_the_stack_untouched():
|
|
stack = _stack()
|
|
result, provenance, diagnostics = inject_middlewares(stack, _ANCHORS, AgentScope.LEAD, _ctx(), ExtensionRegistry().build())
|
|
assert result == stack
|
|
assert provenance == {}
|
|
assert diagnostics == []
|
|
|
|
|
|
def test_contributor_failure_is_isolated_to_that_extension():
|
|
class _Boom:
|
|
def contribute_middlewares(self, app_store, ctx):
|
|
raise ValueError("contributor exploded")
|
|
|
|
registry = ExtensionRegistry()
|
|
with registry.attributed_to("bad:install"):
|
|
registry.middlewares(_Boom())
|
|
with registry.attributed_to("good:install"):
|
|
registry.middlewares(_contributor(MiddlewarePlacement(_Probe("ok"), Placement.TOOL_VISIBLE)))
|
|
|
|
result, _, diagnostics = inject_middlewares(_stack(), _ANCHORS, AgentScope.LEAD, _ctx(), registry.build())
|
|
assert "ok" in _tags(result)
|
|
assert any(d.level == "error" and d.source == "bad:install" for d in diagnostics)
|
|
|
|
|
|
def test_contributor_iterable_failure_is_isolated_to_that_extension():
|
|
class _ExplodingIterable:
|
|
def __iter__(self):
|
|
raise ValueError("iteration exploded")
|
|
|
|
class _Boom:
|
|
def contribute_middlewares(self, app_store, ctx):
|
|
return _ExplodingIterable()
|
|
|
|
registry = ExtensionRegistry()
|
|
with registry.attributed_to("bad:install"):
|
|
registry.middlewares(_Boom())
|
|
with registry.attributed_to("good:install"):
|
|
registry.middlewares(_contributor(MiddlewarePlacement(_Probe("ok"), Placement.TOOL_VISIBLE)))
|
|
|
|
result, _, diagnostics = inject_middlewares(_stack(), _ANCHORS, AgentScope.LEAD, _ctx(), registry.build())
|
|
|
|
assert "ok" in _tags(result)
|
|
assert any(d.source == "bad:install" and "iteration exploded" in d.message for d in diagnostics)
|
|
|
|
|
|
def test_malformed_placement_is_skipped_without_losing_other_extensions():
|
|
class _Malformed:
|
|
def contribute_middlewares(self, app_store, ctx):
|
|
return (object(),)
|
|
|
|
registry = ExtensionRegistry()
|
|
with registry.attributed_to("bad:install"):
|
|
registry.middlewares(_Malformed())
|
|
with registry.attributed_to("good:install"):
|
|
registry.middlewares(_contributor(MiddlewarePlacement(_Probe("ok"), Placement.TOOL_VISIBLE)))
|
|
|
|
result, _, diagnostics = inject_middlewares(_stack(), _ANCHORS, AgentScope.LEAD, _ctx(), registry.build())
|
|
|
|
assert "ok" in _tags(result)
|
|
assert any(d.source == "bad:install" and "MiddlewarePlacement" in d.message for d in diagnostics)
|
|
|
|
|
|
def test_non_middleware_contribution_is_skipped():
|
|
result, _, diagnostics = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(MiddlewarePlacement(object(), Placement.TOOL_VISIBLE)),
|
|
)
|
|
|
|
assert len(result) == len(_stack())
|
|
assert any("AgentMiddleware" in diagnostic.message for diagnostic in diagnostics)
|
|
|
|
|
|
def test_wrapper_construction_failure_is_isolated_to_one_contribution():
|
|
class _BadName(AgentMiddleware):
|
|
@property
|
|
def name(self):
|
|
raise ValueError("name exploded")
|
|
|
|
result, _, diagnostics = inject_middlewares(
|
|
_stack(),
|
|
_ANCHORS,
|
|
AgentScope.LEAD,
|
|
_ctx(),
|
|
_extensions(
|
|
MiddlewarePlacement(_BadName(), Placement.TOOL_VISIBLE),
|
|
MiddlewarePlacement(_Probe("ok"), Placement.TOOL_VISIBLE),
|
|
),
|
|
)
|
|
|
|
assert "ok" in _tags(result)
|
|
assert any("name exploded" in diagnostic.message for diagnostic in diagnostics)
|