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deer-flow/backend/app/gateway/routers/threads.py
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2026-04-26 15:09:25 +08:00

621 lines
26 KiB
Python

"""Thread CRUD, state, and history endpoints.
Combines the existing thread-local filesystem cleanup with LangGraph
Platform-compatible thread management backed by the checkpointer.
Channel values returned in state responses are serialized through
:func:`deerflow.runtime.serialization.serialize_channel_values` to
ensure LangChain message objects are converted to JSON-safe dicts
matching the LangGraph Platform wire format expected by the
``useStream`` React hook.
"""
from __future__ import annotations
import logging
import time
import uuid
from typing import Any
from fastapi import APIRouter, HTTPException, Request
from pydantic import BaseModel, Field, field_validator
from app.gateway.authz import require_permission
from app.gateway.deps import get_checkpointer
from app.gateway.utils import sanitize_log_param
from deerflow.config.paths import Paths, get_paths
from deerflow.runtime import serialize_channel_values
from deerflow.runtime.user_context import get_effective_user_id
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/threads", tags=["threads"])
# Metadata keys that the server controls; clients are not allowed to set
# them. Pydantic ``@field_validator("metadata")`` strips them on every
# inbound model below so a malicious client cannot reflect a forged
# owner identity through the API surface. Defense-in-depth — the
# row-level invariant is still ``threads_meta.user_id`` populated from
# the auth contextvar; this list closes the metadata-blob echo gap.
_SERVER_RESERVED_METADATA_KEYS: frozenset[str] = frozenset({"owner_id", "user_id"})
def _strip_reserved_metadata(metadata: dict[str, Any] | None) -> dict[str, Any]:
"""Return ``metadata`` with server-controlled keys removed."""
if not metadata:
return metadata or {}
return {k: v for k, v in metadata.items() if k not in _SERVER_RESERVED_METADATA_KEYS}
# ---------------------------------------------------------------------------
# Response / request models
# ---------------------------------------------------------------------------
class ThreadDeleteResponse(BaseModel):
"""Response model for thread cleanup."""
success: bool
message: str
class ThreadResponse(BaseModel):
"""Response model for a single thread."""
thread_id: str = Field(description="Unique thread identifier")
status: str = Field(default="idle", description="Thread status: idle, busy, interrupted, error")
created_at: str = Field(default="", description="ISO timestamp")
updated_at: str = Field(default="", description="ISO timestamp")
metadata: dict[str, Any] = Field(default_factory=dict, description="Thread metadata")
values: dict[str, Any] = Field(default_factory=dict, description="Current state channel values")
interrupts: dict[str, Any] = Field(default_factory=dict, description="Pending interrupts")
class ThreadCreateRequest(BaseModel):
"""Request body for creating a thread."""
thread_id: str | None = Field(default=None, description="Optional thread ID (auto-generated if omitted)")
assistant_id: str | None = Field(default=None, description="Associate thread with an assistant")
metadata: dict[str, Any] = Field(default_factory=dict, description="Initial metadata")
_strip_reserved = field_validator("metadata")(classmethod(lambda cls, v: _strip_reserved_metadata(v)))
class ThreadSearchRequest(BaseModel):
"""Request body for searching threads."""
metadata: dict[str, Any] = Field(default_factory=dict, description="Metadata filter (exact match)")
limit: int = Field(default=100, ge=1, le=1000, description="Maximum results")
offset: int = Field(default=0, ge=0, description="Pagination offset")
status: str | None = Field(default=None, description="Filter by thread status")
class ThreadStateResponse(BaseModel):
"""Response model for thread state."""
values: dict[str, Any] = Field(default_factory=dict, description="Current channel values")
next: list[str] = Field(default_factory=list, description="Next tasks to execute")
metadata: dict[str, Any] = Field(default_factory=dict, description="Checkpoint metadata")
checkpoint: dict[str, Any] = Field(default_factory=dict, description="Checkpoint info")
checkpoint_id: str | None = Field(default=None, description="Current checkpoint ID")
parent_checkpoint_id: str | None = Field(default=None, description="Parent checkpoint ID")
created_at: str | None = Field(default=None, description="Checkpoint timestamp")
tasks: list[dict[str, Any]] = Field(default_factory=list, description="Interrupted task details")
class ThreadPatchRequest(BaseModel):
"""Request body for patching thread metadata."""
metadata: dict[str, Any] = Field(default_factory=dict, description="Metadata to merge")
_strip_reserved = field_validator("metadata")(classmethod(lambda cls, v: _strip_reserved_metadata(v)))
class ThreadStateUpdateRequest(BaseModel):
"""Request body for updating thread state (human-in-the-loop resume)."""
values: dict[str, Any] | None = Field(default=None, description="Channel values to merge")
checkpoint_id: str | None = Field(default=None, description="Checkpoint to branch from")
checkpoint: dict[str, Any] | None = Field(default=None, description="Full checkpoint object")
as_node: str | None = Field(default=None, description="Node identity for the update")
class HistoryEntry(BaseModel):
"""Single checkpoint history entry."""
checkpoint_id: str
parent_checkpoint_id: str | None = None
metadata: dict[str, Any] = Field(default_factory=dict)
values: dict[str, Any] = Field(default_factory=dict)
created_at: str | None = None
next: list[str] = Field(default_factory=list)
class ThreadHistoryRequest(BaseModel):
"""Request body for checkpoint history."""
limit: int = Field(default=10, ge=1, le=100, description="Maximum entries")
before: str | None = Field(default=None, description="Cursor for pagination")
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _delete_thread_data(thread_id: str, paths: Paths | None = None, *, user_id: str | None = None) -> ThreadDeleteResponse:
"""Delete local persisted filesystem data for a thread."""
path_manager = paths or get_paths()
try:
path_manager.delete_thread_dir(thread_id, user_id=user_id)
except ValueError as exc:
raise HTTPException(status_code=422, detail=str(exc)) from exc
except FileNotFoundError:
# Not critical — thread data may not exist on disk
logger.debug("No local thread data to delete for %s", sanitize_log_param(thread_id))
return ThreadDeleteResponse(success=True, message=f"No local data for {thread_id}")
except Exception as exc:
logger.exception("Failed to delete thread data for %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to delete local thread data.") from exc
logger.info("Deleted local thread data for %s", sanitize_log_param(thread_id))
return ThreadDeleteResponse(success=True, message=f"Deleted local thread data for {thread_id}")
def _derive_thread_status(checkpoint_tuple) -> str:
"""Derive thread status from checkpoint metadata."""
if checkpoint_tuple is None:
return "idle"
pending_writes = getattr(checkpoint_tuple, "pending_writes", None) or []
# Check for error in pending writes
for pw in pending_writes:
if len(pw) >= 2 and pw[1] == "__error__":
return "error"
# Check for pending next tasks (indicates interrupt)
tasks = getattr(checkpoint_tuple, "tasks", None)
if tasks:
return "interrupted"
return "idle"
# ---------------------------------------------------------------------------
# Endpoints
# ---------------------------------------------------------------------------
@router.delete("/{thread_id}", response_model=ThreadDeleteResponse)
@require_permission("threads", "delete", owner_check=True, require_existing=True)
async def delete_thread_data(thread_id: str, request: Request) -> ThreadDeleteResponse:
"""Delete local persisted filesystem data for a thread.
Cleans DeerFlow-managed thread directories, removes checkpoint data,
and removes the thread_meta row from the configured ThreadMetaStore
(sqlite or memory).
"""
from app.gateway.deps import get_thread_store
# Clean local filesystem
response = _delete_thread_data(thread_id, user_id=get_effective_user_id())
# Remove checkpoints (best-effort)
checkpointer = getattr(request.app.state, "checkpointer", None)
if checkpointer is not None:
try:
if hasattr(checkpointer, "adelete_thread"):
await checkpointer.adelete_thread(thread_id)
except Exception:
logger.debug("Could not delete checkpoints for thread %s (not critical)", sanitize_log_param(thread_id))
# Remove thread_meta row (best-effort) — required for sqlite backend
# so the deleted thread no longer appears in /threads/search.
try:
thread_store = get_thread_store(request)
await thread_store.delete(thread_id)
except Exception:
logger.debug("Could not delete thread_meta for %s (not critical)", sanitize_log_param(thread_id))
return response
@router.post("", response_model=ThreadResponse)
async def create_thread(body: ThreadCreateRequest, request: Request) -> ThreadResponse:
"""Create a new thread.
Writes a thread_meta record (so the thread appears in /threads/search)
and an empty checkpoint (so state endpoints work immediately).
Idempotent: returns the existing record when ``thread_id`` already exists.
"""
from app.gateway.deps import get_thread_store
checkpointer = get_checkpointer(request)
thread_store = get_thread_store(request)
thread_id = body.thread_id or str(uuid.uuid4())
now = time.time()
# ``body.metadata`` is already stripped of server-reserved keys by
# ``ThreadCreateRequest._strip_reserved`` — see the model definition.
# Idempotency: return existing record when already present
existing_record = await thread_store.get(thread_id)
if existing_record is not None:
return ThreadResponse(
thread_id=thread_id,
status=existing_record.get("status", "idle"),
created_at=str(existing_record.get("created_at", "")),
updated_at=str(existing_record.get("updated_at", "")),
metadata=existing_record.get("metadata", {}),
)
# Write thread_meta so the thread appears in /threads/search immediately
try:
await thread_store.create(
thread_id,
assistant_id=getattr(body, "assistant_id", None),
metadata=body.metadata,
)
except Exception:
logger.exception("Failed to write thread_meta for %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to create thread")
# Write an empty checkpoint so state endpoints work immediately
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
try:
from langgraph.checkpoint.base import empty_checkpoint
ckpt_metadata = {
"step": -1,
"source": "input",
"writes": None,
"parents": {},
**body.metadata,
"created_at": now,
}
await checkpointer.aput(config, empty_checkpoint(), ckpt_metadata, {})
except Exception:
logger.exception("Failed to create checkpoint for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to create thread")
logger.info("Thread created: %s", sanitize_log_param(thread_id))
return ThreadResponse(
thread_id=thread_id,
status="idle",
created_at=str(now),
updated_at=str(now),
metadata=body.metadata,
)
@router.post("/search", response_model=list[ThreadResponse])
async def search_threads(body: ThreadSearchRequest, request: Request) -> list[ThreadResponse]:
"""Search and list threads.
Delegates to the configured ThreadMetaStore implementation
(SQL-backed for sqlite/postgres, Store-backed for memory mode).
"""
from app.gateway.deps import get_thread_store
repo = get_thread_store(request)
rows = await repo.search(
metadata=body.metadata or None,
status=body.status,
limit=body.limit,
offset=body.offset,
)
return [
ThreadResponse(
thread_id=r["thread_id"],
status=r.get("status", "idle"),
created_at=r.get("created_at", ""),
updated_at=r.get("updated_at", ""),
metadata=r.get("metadata", {}),
values={"title": r["display_name"]} if r.get("display_name") else {},
interrupts={},
)
for r in rows
]
@router.patch("/{thread_id}", response_model=ThreadResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def patch_thread(thread_id: str, body: ThreadPatchRequest, request: Request) -> ThreadResponse:
"""Merge metadata into a thread record."""
from app.gateway.deps import get_thread_store
thread_store = get_thread_store(request)
record = await thread_store.get(thread_id)
if record is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
# ``body.metadata`` already stripped by ``ThreadPatchRequest._strip_reserved``.
try:
await thread_store.update_metadata(thread_id, body.metadata)
except Exception:
logger.exception("Failed to patch thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to update thread")
# Re-read to get the merged metadata + refreshed updated_at
record = await thread_store.get(thread_id) or record
return ThreadResponse(
thread_id=thread_id,
status=record.get("status", "idle"),
created_at=str(record.get("created_at", "")),
updated_at=str(record.get("updated_at", "")),
metadata=record.get("metadata", {}),
)
@router.get("/{thread_id}", response_model=ThreadResponse)
@require_permission("threads", "read", owner_check=True)
async def get_thread(thread_id: str, request: Request) -> ThreadResponse:
"""Get thread info.
Reads metadata from the ThreadMetaStore and derives the accurate
execution status from the checkpointer. Falls back to the checkpointer
alone for threads that pre-date ThreadMetaStore adoption (backward compat).
"""
from app.gateway.deps import get_thread_store
thread_store = get_thread_store(request)
checkpointer = get_checkpointer(request)
record: dict | None = await thread_store.get(thread_id)
# Derive accurate status from the checkpointer
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
try:
checkpoint_tuple = await checkpointer.aget_tuple(config)
except Exception:
logger.exception("Failed to get checkpoint for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread")
if record is None and checkpoint_tuple is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
# If the thread exists in the checkpointer but not in thread_meta (e.g.
# legacy data created before thread_meta adoption), synthesize a minimal
# record from the checkpoint metadata.
if record is None and checkpoint_tuple is not None:
ckpt_meta = getattr(checkpoint_tuple, "metadata", {}) or {}
record = {
"thread_id": thread_id,
"status": "idle",
"created_at": ckpt_meta.get("created_at", ""),
"updated_at": ckpt_meta.get("updated_at", ckpt_meta.get("created_at", "")),
"metadata": {k: v for k, v in ckpt_meta.items() if k not in ("created_at", "updated_at", "step", "source", "writes", "parents")},
}
if record is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
status = _derive_thread_status(checkpoint_tuple) if checkpoint_tuple is not None else record.get("status", "idle")
checkpoint = getattr(checkpoint_tuple, "checkpoint", {}) or {} if checkpoint_tuple is not None else {}
channel_values = checkpoint.get("channel_values", {})
return ThreadResponse(
thread_id=thread_id,
status=status,
created_at=str(record.get("created_at", "")),
updated_at=str(record.get("updated_at", "")),
metadata=record.get("metadata", {}),
values=serialize_channel_values(channel_values),
)
# ---------------------------------------------------------------------------
@router.get("/{thread_id}/state", response_model=ThreadStateResponse)
@require_permission("threads", "read", owner_check=True)
async def get_thread_state(thread_id: str, request: Request) -> ThreadStateResponse:
"""Get the latest state snapshot for a thread.
Channel values are serialized to ensure LangChain message objects
are converted to JSON-safe dicts.
"""
checkpointer = get_checkpointer(request)
config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
try:
checkpoint_tuple = await checkpointer.aget_tuple(config)
except Exception:
logger.exception("Failed to get state for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread state")
if checkpoint_tuple is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
checkpoint = getattr(checkpoint_tuple, "checkpoint", {}) or {}
metadata = getattr(checkpoint_tuple, "metadata", {}) or {}
checkpoint_id = None
ckpt_config = getattr(checkpoint_tuple, "config", {})
if ckpt_config:
checkpoint_id = ckpt_config.get("configurable", {}).get("checkpoint_id")
channel_values = checkpoint.get("channel_values", {})
parent_config = getattr(checkpoint_tuple, "parent_config", None)
parent_checkpoint_id = None
if parent_config:
parent_checkpoint_id = parent_config.get("configurable", {}).get("checkpoint_id")
tasks_raw = getattr(checkpoint_tuple, "tasks", []) or []
next_tasks = [t.name for t in tasks_raw if hasattr(t, "name")]
tasks = [{"id": getattr(t, "id", ""), "name": getattr(t, "name", "")} for t in tasks_raw]
values = serialize_channel_values(channel_values)
return ThreadStateResponse(
values=values,
next=next_tasks,
metadata=metadata,
checkpoint={"id": checkpoint_id, "ts": str(metadata.get("created_at", ""))},
checkpoint_id=checkpoint_id,
parent_checkpoint_id=parent_checkpoint_id,
created_at=str(metadata.get("created_at", "")),
tasks=tasks,
)
@router.post("/{thread_id}/state", response_model=ThreadStateResponse)
@require_permission("threads", "write", owner_check=True, require_existing=True)
async def update_thread_state(thread_id: str, body: ThreadStateUpdateRequest, request: Request) -> ThreadStateResponse:
"""Update thread state (e.g. for human-in-the-loop resume or title rename).
Writes a new checkpoint that merges *body.values* into the latest
channel values, then syncs any updated ``title`` field through the
ThreadMetaStore abstraction so that ``/threads/search`` reflects the
change immediately in both sqlite and memory backends.
"""
from app.gateway.deps import get_thread_store
checkpointer = get_checkpointer(request)
thread_store = get_thread_store(request)
# checkpoint_ns must be present in the config for aput — default to ""
# (the root graph namespace). checkpoint_id is optional; omitting it
# fetches the latest checkpoint for the thread.
read_config: dict[str, Any] = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": "",
}
}
if body.checkpoint_id:
read_config["configurable"]["checkpoint_id"] = body.checkpoint_id
try:
checkpoint_tuple = await checkpointer.aget_tuple(read_config)
except Exception:
logger.exception("Failed to get state for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread state")
if checkpoint_tuple is None:
raise HTTPException(status_code=404, detail=f"Thread {thread_id} not found")
# Work on mutable copies so we don't accidentally mutate cached objects.
checkpoint: dict[str, Any] = dict(getattr(checkpoint_tuple, "checkpoint", {}) or {})
metadata: dict[str, Any] = dict(getattr(checkpoint_tuple, "metadata", {}) or {})
channel_values: dict[str, Any] = dict(checkpoint.get("channel_values", {}))
if body.values:
channel_values.update(body.values)
checkpoint["channel_values"] = channel_values
metadata["updated_at"] = time.time()
if body.as_node:
metadata["source"] = "update"
metadata["step"] = metadata.get("step", 0) + 1
metadata["writes"] = {body.as_node: body.values}
# aput requires checkpoint_ns in the config — use the same config used for the
# read (which always includes checkpoint_ns=""). Do NOT include checkpoint_id
# so that aput generates a fresh checkpoint ID for the new snapshot.
write_config: dict[str, Any] = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": "",
}
}
try:
new_config = await checkpointer.aput(write_config, checkpoint, metadata, {})
except Exception:
logger.exception("Failed to update state for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to update thread state")
new_checkpoint_id: str | None = None
if isinstance(new_config, dict):
new_checkpoint_id = new_config.get("configurable", {}).get("checkpoint_id")
# Sync title changes through the ThreadMetaStore abstraction so /threads/search
# reflects them immediately in both sqlite and memory backends.
if body.values and "title" in body.values:
new_title = body.values["title"]
if new_title: # Skip empty strings and None
try:
await thread_store.update_display_name(thread_id, new_title)
except Exception:
logger.debug("Failed to sync title to thread_meta for %s (non-fatal)", sanitize_log_param(thread_id))
return ThreadStateResponse(
values=serialize_channel_values(channel_values),
next=[],
metadata=metadata,
checkpoint_id=new_checkpoint_id,
created_at=str(metadata.get("created_at", "")),
)
@router.post("/{thread_id}/history", response_model=list[HistoryEntry])
@require_permission("threads", "read", owner_check=True)
async def get_thread_history(thread_id: str, body: ThreadHistoryRequest, request: Request) -> list[HistoryEntry]:
"""Get checkpoint history for a thread.
Messages are read from the checkpointer's channel values (the
authoritative source) and serialized via
:func:`~deerflow.runtime.serialization.serialize_channel_values`.
Only the latest (first) checkpoint carries the ``messages`` key to
avoid duplicating them across every entry.
"""
checkpointer = get_checkpointer(request)
config: dict[str, Any] = {"configurable": {"thread_id": thread_id}}
if body.before:
config["configurable"]["checkpoint_id"] = body.before
entries: list[HistoryEntry] = []
is_latest_checkpoint = True
try:
async for checkpoint_tuple in checkpointer.alist(config, limit=body.limit):
ckpt_config = getattr(checkpoint_tuple, "config", {})
parent_config = getattr(checkpoint_tuple, "parent_config", None)
metadata = getattr(checkpoint_tuple, "metadata", {}) or {}
checkpoint = getattr(checkpoint_tuple, "checkpoint", {}) or {}
checkpoint_id = ckpt_config.get("configurable", {}).get("checkpoint_id", "")
parent_id = None
if parent_config:
parent_id = parent_config.get("configurable", {}).get("checkpoint_id")
channel_values = checkpoint.get("channel_values", {})
# Build values from checkpoint channel_values
values: dict[str, Any] = {}
if title := channel_values.get("title"):
values["title"] = title
if thread_data := channel_values.get("thread_data"):
values["thread_data"] = thread_data
# Attach messages only to the latest checkpoint entry.
if is_latest_checkpoint:
messages = channel_values.get("messages")
if messages:
values["messages"] = serialize_channel_values({"messages": messages}).get("messages", [])
is_latest_checkpoint = False
# Derive next tasks
tasks_raw = getattr(checkpoint_tuple, "tasks", []) or []
next_tasks = [t.name for t in tasks_raw if hasattr(t, "name")]
# Strip LangGraph internal keys from metadata
user_meta = {k: v for k, v in metadata.items() if k not in ("created_at", "updated_at", "step", "source", "writes", "parents")}
# Keep step for ordering context
if "step" in metadata:
user_meta["step"] = metadata["step"]
entries.append(
HistoryEntry(
checkpoint_id=checkpoint_id,
parent_checkpoint_id=parent_id,
metadata=user_meta,
values=values,
created_at=str(metadata.get("created_at", "")),
next=next_tasks,
)
)
except Exception:
logger.exception("Failed to get history for thread %s", sanitize_log_param(thread_id))
raise HTTPException(status_code=500, detail="Failed to get thread history")
return entries