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https://gitee.com/wanwujie/deer-flow
synced 2026-04-10 17:24:45 +08:00
feat(threads): paginate full history via summaries endpoint (#1022)
* feat(threads): add paginated summaries API and load full history * fix(threads): address summaries review feedback - validate summaries sort params and log gateway failures - page frontend thread summaries without stale query keys or silent truncation - export router modules and tighten thread list typing Refs: 2901804166, 2901804176, 2901804179, 2901804180, 2901804183, 2901804187, 2901804191 --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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@@ -15,6 +15,7 @@ from src.gateway.routers import (
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models,
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skills,
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suggestions,
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threads,
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uploads,
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)
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@@ -139,6 +140,10 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
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"name": "channels",
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"description": "Manage IM channel integrations (Feishu, Slack, Telegram)",
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},
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{
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"name": "threads",
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"description": "Thread summary and list endpoints for lightweight UI loading",
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},
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{
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"name": "health",
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"description": "Health check and system status endpoints",
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@@ -176,6 +181,9 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
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# Channels API is mounted at /api/channels
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app.include_router(channels.router)
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# Threads API is mounted at /api/threads
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app.include_router(threads.router)
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@app.get("/health", tags=["health"])
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async def health_check() -> dict:
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"""Health check endpoint.
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@@ -1,3 +1,14 @@
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from . import artifacts, mcp, models, skills, suggestions, uploads
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from . import agents, artifacts, channels, mcp, memory, models, skills, suggestions, threads, uploads
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__all__ = ["artifacts", "mcp", "models", "skills", "suggestions", "uploads"]
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__all__ = [
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"agents",
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"artifacts",
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"channels",
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"mcp",
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"memory",
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"models",
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"skills",
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"suggestions",
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"threads",
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"uploads",
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]
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123
backend/src/gateway/routers/threads.py
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123
backend/src/gateway/routers/threads.py
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@@ -0,0 +1,123 @@
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from __future__ import annotations
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import logging
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from collections.abc import Mapping
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from typing import Any, Literal
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from fastapi import APIRouter, HTTPException, Query
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from pydantic import BaseModel, Field
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from src.config.app_config import get_app_config
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router = APIRouter(prefix="/api/threads", tags=["threads"])
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logger = logging.getLogger(__name__)
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SortBy = Literal["updated_at", "created_at"]
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SortOrder = Literal["desc", "asc"]
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class ThreadSummary(BaseModel):
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"""Lean thread payload for list UIs."""
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thread_id: str
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updated_at: str | None = None
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values: dict[str, str] = Field(default_factory=dict)
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class ThreadSummariesResponse(BaseModel):
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"""Paginated summaries response."""
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threads: list[ThreadSummary]
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next_offset: int | None = None
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ThreadSummary.model_rebuild()
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ThreadSummariesResponse.model_rebuild()
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def _resolve_langgraph_url() -> str:
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config = get_app_config()
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extra = config.model_extra or {}
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channels_cfg = extra.get("channels")
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if isinstance(channels_cfg, Mapping):
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langgraph_url = channels_cfg.get("langgraph_url")
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if isinstance(langgraph_url, str) and langgraph_url.strip():
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return langgraph_url
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return "http://localhost:2024"
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def _pick_title(values: Any) -> str:
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if isinstance(values, Mapping):
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title = values.get("title")
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if isinstance(title, str) and title.strip():
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return title
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return "Untitled"
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def _to_thread_summary(raw: Any) -> ThreadSummary | None:
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if not isinstance(raw, Mapping):
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return None
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thread_id = raw.get("thread_id")
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if not isinstance(thread_id, str) or not thread_id.strip():
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return None
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updated_at = raw.get("updated_at")
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return ThreadSummary(
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thread_id=thread_id,
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updated_at=updated_at if isinstance(updated_at, str) else None,
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values={"title": _pick_title(raw.get("values"))},
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)
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@router.get(
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"/summaries",
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response_model=ThreadSummariesResponse,
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summary="List Thread Summaries",
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description="Return paginated thread summaries for list UIs with minimal payload.",
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)
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async def list_thread_summaries(
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limit: int = Query(default=50, ge=1, le=200),
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offset: int = Query(default=0, ge=0),
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sort_by: SortBy = Query(default="updated_at"),
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sort_order: SortOrder = Query(default="desc"),
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) -> ThreadSummariesResponse:
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"""Fetch thread list from LangGraph and return compact title-only summaries."""
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try:
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from langgraph_sdk import get_client
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client = get_client(url=_resolve_langgraph_url())
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rows = await client.threads.search(
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{
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"limit": limit,
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"offset": offset,
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"sortBy": sort_by,
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"sortOrder": sort_order,
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"select": ["thread_id", "updated_at", "values"],
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}
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)
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except Exception as e:
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logger.exception("Failed to query LangGraph thread summaries")
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raise HTTPException(status_code=502, detail=f"Failed to query LangGraph threads: {e}") from e
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summaries: list[ThreadSummary] = []
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row_count = 0
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if isinstance(rows, list):
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row_count = len(rows)
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for row in rows:
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summary = _to_thread_summary(row)
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if summary is not None:
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summaries.append(summary)
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next_offset = offset + row_count if row_count >= limit else None
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return ThreadSummariesResponse(threads=summaries, next_offset=next_offset)
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__all__ = [
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"ThreadSummary",
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"ThreadSummariesResponse",
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"list_thread_summaries",
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"_pick_title",
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"_resolve_langgraph_url",
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"_to_thread_summary",
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"router",
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]
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