董宏凯andCursor
838cae0d2d
新增 /api/roundtable-drafts 草稿 CRUD 与会话级推荐历史；前端 useDraftPersistence 改走 api/drafts，删除本地 drafts.ts。 Co-authored-by: Cursor <cursoragent@cursor.com>
420 lines
16 KiB
Python
420 lines
16 KiB
Python
"""Centralized accessors for singleton objects stored on ``app.state``.
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**Getters** (used by routers): raise 503 when a required dependency is
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missing, except ``get_store`` which returns ``None``.
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Initialization is handled directly in ``app.py`` via :class:`AsyncExitStack`.
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"""
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from __future__ import annotations
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from collections.abc import AsyncGenerator, Callable
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from contextlib import AsyncExitStack, asynccontextmanager
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from typing import TYPE_CHECKING, TypeVar, cast
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from fastapi import FastAPI, HTTPException, Request
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from langgraph.types import Checkpointer
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from deerflow.config.app_config import AppConfig
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from deerflow.persistence.feedback import FeedbackRepository
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from deerflow.runtime import RunContext, RunManager, StreamBridge
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from deerflow.runtime.events.store.base import RunEventStore
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from deerflow.runtime.runs.store.base import RunStore
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if TYPE_CHECKING:
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from app.gateway.auth.local_provider import LocalAuthProvider
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from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
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from deerflow.persistence.agents import AgentStore
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from deerflow.persistence.notifications import NotificationStore
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from deerflow.persistence.scheduled_tasks import ScheduledTaskStore
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from deerflow.persistence.skills import SkillStore
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from deerflow.persistence.tags import TagStore
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from deerflow.persistence.thread_meta.base import ThreadMetaStore
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T = TypeVar("T")
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def get_config(request: Request) -> AppConfig:
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"""Return the app-scoped ``AppConfig`` stored on ``app.state``."""
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config = getattr(request.app.state, "config", None)
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if config is None:
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raise HTTPException(status_code=503, detail="Configuration not available")
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return config
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@asynccontextmanager
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async def langgraph_runtime(app: FastAPI) -> AsyncGenerator[None, None]:
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"""Bootstrap and tear down all LangGraph runtime singletons.
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Usage in ``app.py``::
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async with langgraph_runtime(app):
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yield
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"""
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from deerflow.persistence.engine import close_engine, get_session_factory, init_engine_from_config
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from deerflow.runtime import make_store, make_stream_bridge
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from deerflow.runtime.checkpointer.async_provider import make_checkpointer
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from deerflow.runtime.events.store import make_run_event_store
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async with AsyncExitStack() as stack:
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config = getattr(app.state, "config", None)
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if config is None:
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raise RuntimeError("langgraph_runtime() requires app.state.config to be initialized")
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app.state.stream_bridge = await stack.enter_async_context(make_stream_bridge(config))
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# Initialize persistence engine BEFORE checkpointer so that
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# auto-create-database logic runs first (postgres backend).
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await init_engine_from_config(config.database)
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app.state.checkpointer = await stack.enter_async_context(make_checkpointer(config))
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app.state.store = await stack.enter_async_context(make_store(config))
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# Initialize repositories — one get_session_factory() call for all.
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sf = get_session_factory()
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if sf is not None:
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from deerflow.persistence.feedback import FeedbackRepository
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from deerflow.persistence.run import RunRepository
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app.state.run_store = RunRepository(sf)
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app.state.feedback_repo = FeedbackRepository(sf)
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else:
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from deerflow.runtime.runs.store.memory import MemoryRunStore
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app.state.run_store = MemoryRunStore()
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app.state.feedback_repo = None
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from deerflow.persistence.thread_meta import make_thread_store
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app.state.thread_store = make_thread_store(sf, app.state.store)
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from deerflow.persistence.scheduled_tasks import make_scheduled_task_store
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app.state.scheduled_task_store = make_scheduled_task_store(sf)
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from deerflow.persistence.llm_metrics import make_llm_metrics_store
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app.state.llm_metrics_store = make_llm_metrics_store(sf)
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from deerflow.persistence.tool_metrics import make_tool_metrics_store
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app.state.tool_metrics_store = make_tool_metrics_store(sf)
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from deerflow.persistence.agents import make_agent_store
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app.state.agent_store = make_agent_store(sf)
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from deerflow.persistence.skills import make_skill_store
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app.state.skill_store = make_skill_store(sf)
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from deerflow.persistence.notifications import (
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make_notification_store,
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set_notification_store,
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)
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app.state.notification_store = make_notification_store(sf)
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# Make the sender helper (harness layer) able to write without going
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# through FastAPI request context — used by cascade.py.
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set_notification_store(app.state.notification_store)
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from deerflow.persistence.recommended_questions import make_recommended_question_store
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app.state.recommended_question_store = make_recommended_question_store(sf)
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from deerflow.persistence.tags import make_tag_store
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app.state.tag_store = make_tag_store(sf)
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from deerflow.persistence.thread_shares import make_thread_share_store
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app.state.thread_share_store = make_thread_share_store(sf)
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from deerflow.persistence.ai_writing_sessions import (
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make_ai_writing_session_store,
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register_default_store as _register_ai_writing_default_store,
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)
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app.state.ai_writing_session_store = make_ai_writing_session_store(sf)
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# 让 LangGraph Server 路径下的 AI 写作节点能跨 app/harness 边界拿到 repo。
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# 老 /start /stream /resume 路由仍走 request.app.state，互不影响。
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_register_ai_writing_default_store(app.state.ai_writing_session_store)
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from deerflow.persistence.article_types import make_article_type_store
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app.state.article_type_store = make_article_type_store(sf)
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from deerflow.persistence.memory_config import make_user_memory_config_store
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app.state.memory_config_store = make_user_memory_config_store(sf)
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from deerflow.persistence.user_prompts import make_user_prompt_store
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app.state.user_prompt_store = make_user_prompt_store(sf)
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from deerflow.persistence.roundtable_drafts import make_roundtable_draft_store
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app.state.roundtable_draft_store = make_roundtable_draft_store(sf)
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# Run event store (has its own factory with config-driven backend selection)
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run_events_config = getattr(config, "run_events", None)
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app.state.run_event_store = make_run_event_store(run_events_config)
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# RunManager with store backing for persistence
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app.state.run_manager = RunManager(store=app.state.run_store)
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try:
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yield
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finally:
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from deerflow.persistence.notifications import set_notification_store
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set_notification_store(None)
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await close_engine()
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# ---------------------------------------------------------------------------
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# Getters – called by routers per-request
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# ---------------------------------------------------------------------------
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def _require(attr: str, label: str) -> Callable[[Request], T]:
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"""Create a FastAPI dependency that returns ``app.state.<attr>`` or 503."""
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def dep(request: Request) -> T:
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val = getattr(request.app.state, attr, None)
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if val is None:
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raise HTTPException(status_code=503, detail=f"{label} not available")
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return cast(T, val)
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dep.__name__ = dep.__qualname__ = f"get_{attr}"
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return dep
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get_stream_bridge: Callable[[Request], StreamBridge] = _require("stream_bridge", "Stream bridge")
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get_run_manager: Callable[[Request], RunManager] = _require("run_manager", "Run manager")
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get_checkpointer: Callable[[Request], Checkpointer] = _require("checkpointer", "Checkpointer")
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get_run_event_store: Callable[[Request], RunEventStore] = _require("run_event_store", "Run event store")
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get_feedback_repo: Callable[[Request], FeedbackRepository] = _require("feedback_repo", "Feedback")
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get_run_store: Callable[[Request], RunStore] = _require("run_store", "Run store")
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def get_store(request: Request):
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"""Return the global store (may be ``None`` if not configured)."""
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return getattr(request.app.state, "store", None)
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def get_thread_store(request: Request) -> ThreadMetaStore:
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"""Return the thread metadata store (SQL or memory-backed)."""
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val = getattr(request.app.state, "thread_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Thread metadata store not available")
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return val
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def get_scheduled_task_store(request: Request) -> ScheduledTaskStore:
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"""Return the scheduled-task store."""
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val = getattr(request.app.state, "scheduled_task_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Scheduled task store not available")
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return val
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def get_llm_metrics_store(request: Request):
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"""Return the LLM metrics store, or None when not configured."""
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return getattr(request.app.state, "llm_metrics_store", None)
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def get_tool_metrics_store(request: Request):
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"""Return the tool-call metrics store, or None when not configured."""
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return getattr(request.app.state, "tool_metrics_store", None)
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def get_agent_store(request: Request) -> AgentStore:
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"""Return the custom-agent store."""
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val = getattr(request.app.state, "agent_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Agent store not available")
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return val
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def get_skill_store(request: Request) -> SkillStore:
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"""Return the custom-skill store."""
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val = getattr(request.app.state, "skill_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Skill store not available")
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return val
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def get_notification_store(request: Request) -> NotificationStore:
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"""Return the in-app notification store."""
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val = getattr(request.app.state, "notification_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Notification store not available")
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return val
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def get_tag_store(request: Request) -> TagStore:
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"""Return the tag store."""
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val = getattr(request.app.state, "tag_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Tag store not available")
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return val
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def get_thread_share_store(request: Request):
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"""Return the conversation share-link store."""
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val = getattr(request.app.state, "thread_share_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Thread share store not available")
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return val
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def get_ai_writing_session_store(request: Request):
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"""Return the AI writing session store, or None when not configured."""
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return getattr(request.app.state, "ai_writing_session_store", None)
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def get_article_type_store(request: Request):
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"""Return the article type store, or None when not configured."""
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return getattr(request.app.state, "article_type_store", None)
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def get_memory_config_store(request: Request):
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"""Return the per-user memory config store."""
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val = getattr(request.app.state, "memory_config_store", None)
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if val is None:
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raise HTTPException(status_code=503, detail="Memory config store not available")
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return val
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def get_run_context(request: Request) -> RunContext:
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"""Build a :class:`RunContext` from ``app.state`` singletons.
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Returns a *base* context with infrastructure dependencies.
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"""
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config = get_config(request)
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return RunContext(
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checkpointer=get_checkpointer(request),
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store=get_store(request),
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event_store=get_run_event_store(request),
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run_events_config=getattr(config, "run_events", None),
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thread_store=get_thread_store(request),
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app_config=config,
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)
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# ---------------------------------------------------------------------------
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# Auth helpers (used by authz.py and auth middleware)
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# ---------------------------------------------------------------------------
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# Cached singletons to avoid repeated instantiation per request
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_cached_local_provider: LocalAuthProvider | None = None
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_cached_repo: SQLiteUserRepository | None = None
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def get_request_access_token(request: Request) -> str | None:
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"""Extract access token from cookie or Authorization header.
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Priority:
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1. ``access_token`` cookie (browser session mode)
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2. ``Authorization: Bearer <token>`` header (API client mode)
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"""
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cookie_token = request.cookies.get("access_token")
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if cookie_token:
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return cookie_token
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authorization = request.headers.get("authorization", "").strip()
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if not authorization:
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return None
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scheme, _, token = authorization.partition(" ")
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if scheme.lower() != "bearer":
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return None
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token = token.strip()
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return token or None
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def get_local_provider() -> LocalAuthProvider:
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"""Get or create the cached LocalAuthProvider singleton.
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Must be called after ``init_engine_from_config()`` — the shared
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session factory is required to construct the user repository.
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"""
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global _cached_local_provider, _cached_repo
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if _cached_repo is None:
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from app.gateway.auth.repositories.sqlite import SQLiteUserRepository
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from deerflow.persistence.engine import get_session_factory
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sf = get_session_factory()
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if sf is None:
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raise RuntimeError("get_local_provider() called before init_engine_from_config(); cannot access users table")
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_cached_repo = SQLiteUserRepository(sf)
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if _cached_local_provider is None:
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from app.gateway.auth.local_provider import LocalAuthProvider
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_cached_local_provider = LocalAuthProvider(repository=_cached_repo)
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return _cached_local_provider
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async def get_current_user_from_request(request: Request):
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"""Get the current authenticated user from request token.
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Raises HTTPException 401 if not authenticated.
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"""
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from app.gateway.auth import decode_token
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from app.gateway.auth.errors import AuthErrorCode, AuthErrorResponse, TokenError, token_error_to_code
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access_token = get_request_access_token(request)
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if not access_token:
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raise HTTPException(
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status_code=401,
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detail=AuthErrorResponse(code=AuthErrorCode.NOT_AUTHENTICATED, message="Not authenticated").model_dump(),
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)
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payload = decode_token(access_token)
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if isinstance(payload, TokenError):
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raise HTTPException(
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status_code=401,
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detail=AuthErrorResponse(code=token_error_to_code(payload), message=f"Token error: {payload.value}").model_dump(),
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)
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provider = get_local_provider()
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user = await provider.get_user(payload.sub)
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if user is None:
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raise HTTPException(
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status_code=401,
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detail=AuthErrorResponse(code=AuthErrorCode.USER_NOT_FOUND, message="User not found").model_dump(),
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)
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# Token version mismatch → password was changed, token is stale
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if user.token_version != payload.ver:
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raise HTTPException(
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status_code=401,
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detail=AuthErrorResponse(code=AuthErrorCode.TOKEN_INVALID, message="Token revoked (password changed)").model_dump(),
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)
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return user
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async def get_optional_user_from_request(request: Request):
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"""Get optional authenticated user from request.
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Returns None if not authenticated.
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"""
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try:
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return await get_current_user_from_request(request)
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except HTTPException:
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return None
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async def get_current_user(request: Request) -> str | None:
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"""Extract user_id from request cookie, or None if not authenticated.
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Thin adapter that returns the string id for callers that only need
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identification (e.g., ``feedback.py``). Full-user callers should use
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``get_current_user_from_request`` or ``get_optional_user_from_request``.
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"""
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user = await get_optional_user_from_request(request)
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return str(user.id) if user else None
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