deer-flow/backend/tests/test_extension_injection.py
Nan Gao 1f792d0f4b
feat(extensions): add middleware plugin foundation (#4636)
* 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.
2026-08-04 22:33:26 +08:00

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)