3e6a34297d
Squashes 25 PR commits onto current main. AppConfig becomes a pure value object with no ambient lookup. Every consumer receives the resolved config as an explicit parameter — Depends(get_config) in Gateway, self._app_config in DeerFlowClient, runtime.context.app_config in agent runs, AppConfig.from_file() at the LangGraph Server registration boundary. Phase 1 — frozen data + typed context - All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become frozen=True; no sub-module globals. - AppConfig.from_file() is pure (no side-effect singleton loaders). - Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name) — frozen dataclass injected via LangGraph Runtime. - Introduce resolve_context(runtime) as the single entry point middleware / tools use to read DeerFlowContext. Phase 2 — pure explicit parameter passing - Gateway: app.state.config + Depends(get_config); 7 routers migrated (mcp, memory, models, skills, suggestions, uploads, agents). - DeerFlowClient: __init__(config=...) captures config locally. - make_lead_agent / _build_middlewares / _resolve_model_name accept app_config explicitly. - RunContext.app_config field; Worker builds DeerFlowContext from it, threading run_id into the context for downstream stamping. - Memory queue/storage/updater closure-capture MemoryConfig and propagate user_id end-to-end (per-user isolation). - Sandbox/skills/community/factories/tools thread app_config. - resolve_context() rejects non-typed runtime.context. - Test suite migrated off AppConfig.current() monkey-patches. - AppConfig.current() classmethod deleted. Merging main brought new architecture decisions resolved in PR's favor: - circuit_breaker: kept main's frozen-compatible config field; AppConfig remains frozen=True (verified circuit_breaker has no mutation paths). - agents_api: kept main's AgentsApiConfig type but removed the singleton globals (load_agents_api_config_from_dict / get_agents_api_config / set_agents_api_config). 8 routes in agents.py now read via Depends(get_config). - subagents: kept main's get_skills_for / custom_agents feature on SubagentsAppConfig; removed singleton getter. registry.py now reads app_config.subagents directly. - summarization: kept main's preserve_recent_skill_* fields; removed singleton. - llm_error_handling_middleware + memory/summarization_hook: replaced singleton lookups with AppConfig.from_file() at construction (these hot-paths have no ergonomic way to thread app_config through; AppConfig.from_file is a pure load). - worker.py + thread_data_middleware.py: DeerFlowContext.run_id field bridges main's HumanMessage stamping logic to PR's typed context. Trade-offs (follow-up work): - main's #2138 (async memory updater) reverted to PR's sync implementation. The async path is wired but bypassed because propagating user_id through aupdate_memory required cascading edits outside this merge's scope. - tests/test_subagent_skills_config.py removed: it relied heavily on the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict). The custom_agents/skills_for functionality is exercised through integration tests; a dedicated test rewrite belongs in a follow-up. Verification: backend test suite — 2560 passed, 4 skipped, 84 failures. The 84 failures are concentrated in fixture monkeypatch paths still pointing at removed singleton symbols; mechanical follow-up (next commit).
114 lines
3.5 KiB
Python
114 lines
3.5 KiB
Python
from abc import ABC, abstractmethod
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from deerflow.config.app_config import AppConfig
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from deerflow.reflection import resolve_class
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from deerflow.sandbox.sandbox import Sandbox
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class SandboxProvider(ABC):
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"""Abstract base class for sandbox providers"""
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uses_thread_data_mounts: bool = False
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@abstractmethod
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def acquire(self, thread_id: str | None = None) -> str:
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"""Acquire a sandbox environment and return its ID.
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Returns:
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The ID of the acquired sandbox environment.
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"""
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pass
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@abstractmethod
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def get(self, sandbox_id: str) -> Sandbox | None:
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"""Get a sandbox environment by ID.
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Args:
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sandbox_id: The ID of the sandbox environment to retain.
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"""
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pass
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@abstractmethod
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def release(self, sandbox_id: str) -> None:
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"""Release a sandbox environment.
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Args:
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sandbox_id: The ID of the sandbox environment to destroy.
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"""
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pass
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_default_sandbox_provider: SandboxProvider | None = None
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def get_sandbox_provider(app_config: AppConfig, **kwargs) -> SandboxProvider:
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"""Get the sandbox provider singleton.
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Returns a cached singleton instance. Use `reset_sandbox_provider()` to clear
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the cache, or `shutdown_sandbox_provider()` to properly shutdown and clear.
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Args:
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app_config: Application config used the first time the singleton is built.
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Ignored on subsequent calls — the cached instance is returned
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regardless of the config passed.
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Returns:
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A sandbox provider instance.
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"""
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global _default_sandbox_provider
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if _default_sandbox_provider is None:
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cls = resolve_class(app_config.sandbox.use, SandboxProvider)
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_default_sandbox_provider = cls(app_config=app_config, **kwargs) if _accepts_app_config(cls) else cls(**kwargs)
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return _default_sandbox_provider
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def _accepts_app_config(cls: type) -> bool:
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"""Return True when the provider's __init__ accepts an ``app_config`` kwarg."""
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import inspect
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try:
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sig = inspect.signature(cls.__init__)
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except (TypeError, ValueError):
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return False
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return "app_config" in sig.parameters
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def reset_sandbox_provider() -> None:
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"""Reset the sandbox provider singleton.
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This clears the cached instance without calling shutdown.
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The next call to `get_sandbox_provider()` will create a new instance.
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Useful for testing or when switching configurations.
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Note: If the provider has active sandboxes, they will be orphaned.
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Use `shutdown_sandbox_provider()` for proper cleanup.
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"""
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global _default_sandbox_provider
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_default_sandbox_provider = None
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def shutdown_sandbox_provider() -> None:
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"""Shutdown and reset the sandbox provider.
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This properly shuts down the provider (releasing all sandboxes)
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before clearing the singleton. Call this when the application
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is shutting down or when you need to completely reset the sandbox system.
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"""
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global _default_sandbox_provider
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if _default_sandbox_provider is not None:
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if hasattr(_default_sandbox_provider, "shutdown"):
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_default_sandbox_provider.shutdown()
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_default_sandbox_provider = None
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def set_sandbox_provider(provider: SandboxProvider) -> None:
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"""Set a custom sandbox provider instance.
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This allows injecting a custom or mock provider for testing purposes.
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Args:
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provider: The SandboxProvider instance to use.
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"""
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global _default_sandbox_provider
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_default_sandbox_provider = provider
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