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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).
60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
"""ORM model for the users table.
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Lives in the harness persistence package so it is picked up by
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``Base.metadata.create_all()`` alongside ``threads_meta``, ``runs``,
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``run_events``, and ``feedback``. Using the shared engine means:
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- One SQLite/Postgres database, one connection pool
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- One schema initialisation codepath
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- Consistent async sessions across auth and persistence reads
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"""
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from __future__ import annotations
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from datetime import UTC, datetime
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from sqlalchemy import Boolean, DateTime, Index, String, text
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from sqlalchemy.orm import Mapped, mapped_column
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from deerflow.persistence.base import Base
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class UserRow(Base):
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__tablename__ = "users"
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# UUIDs are stored as 36-char strings for cross-backend portability.
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id: Mapped[str] = mapped_column(String(36), primary_key=True)
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email: Mapped[str] = mapped_column(String(320), unique=True, nullable=False, index=True)
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password_hash: Mapped[str | None] = mapped_column(String(128), nullable=True)
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# "admin" | "user" — kept as plain string to avoid ALTER TABLE pain
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# when new roles are introduced.
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system_role: Mapped[str] = mapped_column(String(16), nullable=False, default="user")
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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nullable=False,
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default=lambda: datetime.now(UTC),
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)
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# OAuth linkage (optional). A partial unique index enforces one
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# account per (provider, oauth_id) pair, leaving NULL/NULL rows
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# unconstrained so plain password accounts can coexist.
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oauth_provider: Mapped[str | None] = mapped_column(String(32), nullable=True)
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oauth_id: Mapped[str | None] = mapped_column(String(128), nullable=True)
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# Auth lifecycle flags
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needs_setup: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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token_version: Mapped[int] = mapped_column(nullable=False, default=0)
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__table_args__ = (
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Index(
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"idx_users_oauth_identity",
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"oauth_provider",
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"oauth_id",
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unique=True,
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sqlite_where=text("oauth_provider IS NOT NULL AND oauth_id IS NOT NULL"),
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),
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)
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