greatmengqi 84dccef230 refactor(config): Phase 2 — eliminate AppConfig.current() ambient lookup
Finish Phase 2 of the config refactor: production code no longer calls
AppConfig.current() anywhere. AppConfig now flows as an explicit parameter
down every consumer lane.

Call-site migrations
--------------------
- Memory subsystem (queue/updater/storage): MemoryConfig captured at
  enqueue time so the Timer closure survives the ContextVar boundary.
- Sandbox layer: tools.py, security.py, sandbox_provider.py, local_sandbox_provider,
  aio_sandbox_provider all take app_config explicitly. Module-level
  caching in tools.py's path helpers is removed — pure parameter flow.
- Skills layer: manager.py + loader.py + lead_agent.prompt cache refresh
  all thread app_config; cache worker closes over it.
- Community tools (tavily, jina, firecrawl, exa, ddg, image_search,
  infoquest, aio_sandbox): read runtime.context.app_config.
- Subagents registry: get_subagent_config / list_subagents /
  get_available_subagent_names require app_config.
- Runtime worker: requires RunContext.app_config; no fallback.
- Gateway routers (uploads, skills): add Depends(get_config).
- Channels feishu: uses AppConfig.from_file() (pure) at its sync boundary.
- LangGraph Server bootstrap (make_lead_agent): falls back to
  AppConfig.from_file() — pure load, not ambient lookup.

Context resolution
------------------
- resolve_context(runtime) now raises on non-DeerFlowContext runtime.context.
  Every entry point attaches typed context; dict/None shapes are rejected
  loudly instead of being papered over with an ambient AppConfig lookup.

AppConfig lifecycle
-------------------
- AppConfig.current() kept as a deprecated slot that raises RuntimeError,
  purely so legacy tests that still run `patch.object(AppConfig, "current")`
  don't trip AttributeError at teardown. Production never calls it.
- conftest autouse fixture no longer monkey-patches `current` — it only
  stubs `from_file()` so tests don't need a real config.yaml.

Design refs
-----------
- docs/plans/2026-04-12-config-refactor-plan.md (Phase 2: P2-6..P2-10)
- docs/plans/2026-04-12-config-refactor-design.md §8

All 2338 non-e2e tests pass. Zero AppConfig.current() call sites remain
in backend/packages or backend/app (docstrings in deps.py excepted).
2026-04-17 11:14:13 +08:00

52 lines
1.5 KiB
Python

"""Async stream bridge factory.
Provides an **async context manager** aligned with
:func:`deerflow.runtime.checkpointer.async_provider.make_checkpointer`.
Usage (e.g. FastAPI lifespan)::
from deerflow.agents.stream_bridge import make_stream_bridge
async with make_stream_bridge() as bridge:
app.state.stream_bridge = bridge
"""
from __future__ import annotations
import contextlib
import logging
from collections.abc import AsyncIterator
from deerflow.config.app_config import AppConfig
from .base import StreamBridge
logger = logging.getLogger(__name__)
@contextlib.asynccontextmanager
async def make_stream_bridge(app_config: AppConfig) -> AsyncIterator[StreamBridge]:
"""Async context manager that yields a :class:`StreamBridge`.
Falls back to :class:`MemoryStreamBridge` when no ``stream_bridge``
section is configured.
"""
config = app_config.stream_bridge
if config is None or config.type == "memory":
from deerflow.runtime.stream_bridge.memory import MemoryStreamBridge
maxsize = config.queue_maxsize if config is not None else 256
bridge = MemoryStreamBridge(queue_maxsize=maxsize)
logger.info("Stream bridge initialised: memory (queue_maxsize=%d)", maxsize)
try:
yield bridge
finally:
await bridge.close()
return
if config.type == "redis":
raise NotImplementedError("Redis stream bridge planned for Phase 2")
raise ValueError(f"Unknown stream bridge type: {config.type!r}")