Perf: Enhance timeout handling. (#8826)

### What problem does this PR solve?


### Type of change

- [x] Performance Improvement

api/apps/mcp_server_app.py

@@ -1,3 +1,18 @@
+#
+#  Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+#
 from flask import Response, request
 from flask_login import current_user, login_required
 
@@ -6,9 +21,10 @@ from api.db.db_models import MCPServer
 from api.db.services.mcp_server_service import MCPServerService
 from api.db.services.user_service import TenantService
 from api.settings import RetCode
+
 from api.utils import get_uuid
-from api.utils.api_utils import get_data_error_result, get_json_result, server_error_response, validate_request
+from api.utils.api_utils import get_data_error_result, get_json_result, server_error_response, validate_request, \
-from api.utils.mcp_server import get_mcp_tools
+    get_mcp_tools
 from api.utils.web_utils import get_float, safe_json_parse
 from rag.utils.mcp_tool_call_conn import MCPToolCallSession, close_multiple_mcp_toolcall_sessions
 

api/utils/api_utils.py

@@ -13,19 +13,29 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
+import asyncio
 import functools
 import json
 import logging
+import queue
 import random
+import threading
 import time
 from base64 import b64encode
 from copy import deepcopy
 from functools import wraps
 from hmac import HMAC
 from io import BytesIO
+from typing import Any, Optional, Union, Callable, Coroutine, Type
 from urllib.parse import quote, urlencode
 from uuid import uuid1
 
+import trio
+
+from api.db.db_models import MCPServer
+from rag.utils.mcp_tool_call_conn import MCPToolCallSession, close_multiple_mcp_toolcall_sessions
+
+
 import requests
 from flask import (
     Response,
@@ -558,3 +568,101 @@ def remap_dictionary_keys(source_data: dict, key_aliases: dict = None) -> dict:
         transformed_data[mapped_key] = value
 
     return transformed_data
+
+
+def get_mcp_tools(mcp_servers: list[MCPServer], timeout: float | int = 10) -> tuple[dict, str]:
+    results = {}
+    tool_call_sessions = []
+    try:
+        for mcp_server in mcp_servers:
+            server_key = mcp_server.id
+
+            cached_tools = mcp_server.variables.get("tools", {})
+
+            tool_call_session = MCPToolCallSession(mcp_server, mcp_server.variables)
+            tool_call_sessions.append(tool_call_session)
+
+            try:
+                tools = tool_call_session.get_tools(timeout)
+            except Exception:
+                tools = []
+
+            results[server_key] = []
+            for tool in tools:
+                tool_dict = tool.model_dump()
+                cached_tool = cached_tools.get(tool_dict["name"], {})
+
+                tool_dict["enabled"] = cached_tool.get("enabled", True)
+                results[server_key].append(tool_dict)
+
+        # PERF: blocking call to close sessions — consider moving to background thread or task queue
+        close_multiple_mcp_toolcall_sessions(tool_call_sessions)
+        return results, ""
+    except Exception as e:
+        return {}, str(e)
+
+
+TimeoutException = Union[Type[BaseException], BaseException]
+OnTimeoutCallback = Union[Callable[..., Any], Coroutine[Any, Any, Any]]
+def timeout(
+    seconds: float |int = None,
+    *,
+    exception: Optional[TimeoutException] = None,
+    on_timeout: Optional[OnTimeoutCallback] = None
+):
+    def decorator(func):
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            result_queue = queue.Queue(maxsize=1)
+            def target():
+                try:
+                    result = func(*args, **kwargs)
+                    result_queue.put(result)
+                except Exception as e:
+                    result_queue.put(e)
+
+            thread = threading.Thread(target=target)
+            thread.daemon = True
+            thread.start()
+
+            try:
+                result = result_queue.get(timeout=seconds)
+                if isinstance(result, Exception):
+                    raise result
+                return result
+            except queue.Empty:
+                raise TimeoutError(f"Function '{func.__name__}' timed out after {seconds} seconds")
+
+        @wraps(func)
+        async def async_wrapper(*args, **kwargs) -> Any:
+            if seconds is None:
+                return await func(*args, **kwargs)
+
+            try:
+                with trio.fail_after(seconds):
+                    return await func(*args, **kwargs)
+            except trio.TooSlowError:
+                if on_timeout is not None:
+                    if callable(on_timeout):
+                        result = on_timeout()
+                        if isinstance(result, Coroutine):
+                            return await result
+                        return result
+                    return on_timeout
+
+                if exception is None:
+                    raise TimeoutError(f"Operation timed out after {seconds} seconds")
+
+                if isinstance(exception, BaseException):
+                    raise exception
+
+                if isinstance(exception, type) and issubclass(exception, BaseException):
+                    raise exception(f"Operation timed out after {seconds} seconds")
+
+                raise RuntimeError("Invalid exception type provided")
+
+        if asyncio.iscoroutinefunction(func):
+            return async_wrapper
+        return wrapper
+    return decorator
+

api/utils/mcp_server.py

@@ -1,34 +0,0 @@
-from api.db.db_models import MCPServer
-from rag.utils.mcp_tool_call_conn import MCPToolCallSession, close_multiple_mcp_toolcall_sessions
-
-
-def get_mcp_tools(mcp_servers: list[MCPServer], timeout: float | int = 10) -> tuple[dict, str]:
-    results = {}
-    tool_call_sessions = []
-    try:
-        for mcp_server in mcp_servers:
-            server_key = mcp_server.id
-
-            cached_tools = mcp_server.variables.get("tools", {})
-
-            tool_call_session = MCPToolCallSession(mcp_server, mcp_server.variables)
-            tool_call_sessions.append(tool_call_session)
-
-            try:
-                tools = tool_call_session.get_tools(timeout)
-            except Exception:
-                tools = []
-
-            results[server_key] = []
-            for tool in tools:
-                tool_dict = tool.model_dump()
-                cached_tool = cached_tools.get(tool_dict["name"], {})
-
-                tool_dict["enabled"] = cached_tool.get("enabled", True)
-                results[server_key].append(tool_dict)
-
-        # PERF: blocking call to close sessions — consider moving to background thread or task queue
-        close_multiple_mcp_toolcall_sessions(tool_call_sessions)
-        return results, ""
-    except Exception as e:
-        return {}, str(e)

graphrag/general/community_reports_extractor.py

@@ -12,6 +12,8 @@ from typing import Callable
 from dataclasses import dataclass
 import networkx as nx
 import pandas as pd
+
+from api.utils.api_utils import timeout
 from graphrag.general import leiden
 from graphrag.general.community_report_prompt import COMMUNITY_REPORT_PROMPT
 from graphrag.general.extractor import Extractor
@@ -57,6 +59,7 @@ class CommunityReportsExtractor(Extractor):
         res_str = []
         res_dict = []
         over, token_count = 0, 0
+        @timeout(120)
         async def extract_community_report(community):
             nonlocal res_str, res_dict, over, token_count
             cm_id, cm = community
@@ -90,7 +93,7 @@ class CommunityReportsExtractor(Extractor):
             gen_conf = {"temperature": 0.3}
             async with chat_limiter:
                 try:
-                    with trio.move_on_after(120) as cancel_scope:
+                    with trio.move_on_after(80) as cancel_scope:
                         response = await trio.to_thread.run_sync( self._chat, text, [{"role": "user", "content": "Output:"}], gen_conf)
                     if cancel_scope.cancelled_caught:
                         logging.warning("extract_community_report._chat timeout, skipping...")

graphrag/general/extractor.py

@@ -21,6 +21,7 @@ from typing import Callable
 import trio
 import networkx as nx
 
+from api.utils.api_utils import timeout
 from graphrag.general.graph_prompt import SUMMARIZE_DESCRIPTIONS_PROMPT
 from graphrag.utils import get_llm_cache, set_llm_cache, handle_single_entity_extraction, \
     handle_single_relationship_extraction, split_string_by_multi_markers, flat_uniq_list, chat_limiter, get_from_to, GraphChange
@@ -46,6 +47,7 @@ class Extractor:
         self._language = language
         self._entity_types = entity_types or DEFAULT_ENTITY_TYPES
 
+    @timeout(60)
     def _chat(self, system, history, gen_conf):
         hist = deepcopy(history)
         conf = deepcopy(gen_conf)

graphrag/general/index.py

@@ -20,6 +20,7 @@ import trio
 
 from api import settings
 from api.utils import get_uuid
+from api.utils.api_utils import timeout
 from graphrag.light.graph_extractor import GraphExtractor as LightKGExt
 from graphrag.general.graph_extractor import GraphExtractor as GeneralKGExt
 from graphrag.general.community_reports_extractor import CommunityReportsExtractor
@@ -123,6 +124,7 @@ async def run_graphrag(
     return
 
 
+@timeout(60*60*2)
 async def generate_subgraph(
     extractor: Extractor,
     tenant_id: str,
@@ -194,6 +196,8 @@ async def generate_subgraph(
     callback(msg=f"generated subgraph for doc {doc_id} in {now - start:.2f} seconds.")
     return subgraph
 
+
+@timeout(60*3)
 async def merge_subgraph(
     tenant_id: str,
     kb_id: str,
@@ -225,6 +229,7 @@ async def merge_subgraph(
     return new_graph
 
 
+@timeout(60*60)
 async def resolve_entities(
     graph,
     subgraph_nodes: set[str],
@@ -250,6 +255,7 @@ async def resolve_entities(
     callback(msg=f"Graph resolution done in {now - start:.2f}s.")
 
 
+@timeout(60*30)
 async def extract_community(
     graph,
     tenant_id: str,

graphrag/utils.py

@@ -157,6 +157,7 @@ def set_tags_to_cache(kb_ids, tags):
     k = hasher.hexdigest()
     REDIS_CONN.set(k, json.dumps(tags).encode("utf-8"), 600)
 
+
 def tidy_graph(graph: nx.Graph, callback, check_attribute: bool = True):
     """
     Ensure all nodes and edges in the graph have some essential attribute.
@@ -190,12 +191,14 @@ def tidy_graph(graph: nx.Graph, callback, check_attribute: bool = True):
     if purged_edges and callback:
         callback(msg=f"Purged {len(purged_edges)} edges from graph due to missing essential attributes.")
 
+
 def get_from_to(node1, node2):
     if node1 < node2:
         return (node1, node2)
     else:
         return (node2, node1)
 
+
 def graph_merge(g1: nx.Graph, g2: nx.Graph, change: GraphChange):
     """Merge graph g2 into g1 in place."""
     for node_name, attr in g2.nodes(data=True):
@@ -228,6 +231,7 @@ def graph_merge(g1: nx.Graph, g2: nx.Graph, change: GraphChange):
     g1.graph["source_id"] += g2.graph.get("source_id", [])
     return g1
 
+
 def compute_args_hash(*args):
     return md5(str(args).encode()).hexdigest()
 
@@ -378,6 +382,7 @@ async def graph_edge_to_chunk(kb_id, embd_mdl, from_ent_name, to_ent_name, meta,
     chunk["q_%d_vec" % len(ebd)] = ebd
     chunks.append(chunk)
 
+
 async def does_graph_contains(tenant_id, kb_id, doc_id):
     # Get doc_ids of graph
     fields = ["source_id"]
@@ -392,6 +397,7 @@ async def does_graph_contains(tenant_id, kb_id, doc_id):
         graph_doc_ids = set(fields2[chunk_id]["source_id"])
     return doc_id in graph_doc_ids
 
+
 async def get_graph_doc_ids(tenant_id, kb_id) -> list[str]:
     conds = {
         "fields": ["source_id"],

rag/raptor.py

@@ -20,6 +20,7 @@ import numpy as np
 from sklearn.mixture import GaussianMixture
 import trio
 
+from api.utils.api_utils import timeout
 from graphrag.utils import (
     get_llm_cache,
     get_embed_cache,
@@ -54,6 +55,7 @@ class RecursiveAbstractiveProcessing4TreeOrganizedRetrieval:
         set_llm_cache(self._llm_model.llm_name, system, response, history, gen_conf)
         return response
 
+    @timeout(2)
     async def _embedding_encode(self, txt):
         response = get_embed_cache(self._embd_model.llm_name, txt)
         if response is not None:
@@ -83,6 +85,7 @@ class RecursiveAbstractiveProcessing4TreeOrganizedRetrieval:
         layers = [(0, len(chunks))]
         start, end = 0, len(chunks)
 
+        @timeout(60)
         async def summarize(ck_idx: list[int]):
             nonlocal chunks
             texts = [chunks[i][0] for i in ck_idx]

rag/svr/task_executor.py

@@ -21,6 +21,7 @@ import sys
 import threading
 import time
 
+from api.utils.api_utils import timeout
 from api.utils.log_utils import init_root_logger, get_project_base_directory
 from graphrag.general.index import run_graphrag
 from graphrag.utils import get_llm_cache, set_llm_cache, get_tags_from_cache, set_tags_to_cache
@@ -275,6 +276,7 @@ async def build_chunks(task, progress_callback):
         doc[PAGERANK_FLD] = int(task["pagerank"])
     st = timer()
 
+    @timeout(60)
     async def upload_to_minio(document, chunk):
         try:
             d = copy.deepcopy(document)
@@ -415,6 +417,7 @@ def init_kb(row, vector_size: int):
     return settings.docStoreConn.createIdx(idxnm, row.get("kb_id", ""), vector_size)
 
 
+@timeout(60*20)
 async def embedding(docs, mdl, parser_config=None, callback=None):
     if parser_config is None:
         parser_config = {}
@@ -461,6 +464,7 @@ async def embedding(docs, mdl, parser_config=None, callback=None):
     return tk_count, vector_size
 
 
+@timeout(3600)
 async def run_raptor(row, chat_mdl, embd_mdl, vector_size, callback=None):
     chunks = []
     vctr_nm = "q_%d_vec"%vector_size
@@ -502,6 +506,7 @@ async def run_raptor(row, chat_mdl, embd_mdl, vector_size, callback=None):
     return res, tk_count
 
 
+@timeout(60*60*1.5)
 async def do_handle_task(task):
     task_id = task["id"]
     task_from_page = task["from_page"]

rag/utils/redis_conn.py

@@ -220,10 +220,12 @@ class RedisDB:
                 logging.exception(
                     "RedisDB.queue_product " + str(queue) + " got exception: " + str(e)
                 )
+                self.__open__()
         return False
 
     def queue_consumer(self, queue_name, group_name, consumer_name, msg_id=b">") -> RedisMsg:
         """https://redis.io/docs/latest/commands/xreadgroup/"""
+        for _ in range(3):
             try:
                 group_info = self.REDIS.xinfo_groups(queue_name)
                 if not any(gi["name"] == group_name for gi in group_info):
@@ -254,6 +256,7 @@ class RedisDB:
                         + " got exception: "
                         + str(e)
                     )
+                    self.__open__()
         return None
 
     def get_unacked_iterator(self, queue_names: list[str], group_name, consumer_name):
@@ -294,6 +297,7 @@ class RedisDB:
         return []
 
     def requeue_msg(self, queue: str, group_name: str, msg_id: str):
+        for _ in range(3):
             try:
                 messages = self.REDIS.xrange(queue, msg_id, msg_id)
                 if messages:
@@ -303,8 +307,10 @@ class RedisDB:
                 logging.warning(
                     "RedisDB.get_pending_msg " + str(queue) + " got exception: " + str(e)
                 )
+                self.__open__()
 
     def queue_info(self, queue, group_name) -> dict | None:
+        for _ in range(3):
             try:
                 groups = self.REDIS.xinfo_groups(queue)
                 for group in groups:
@@ -314,6 +320,7 @@ class RedisDB:
                 logging.warning(
                     "RedisDB.queue_info " + str(queue) + " got exception: " + str(e)
                 )
+                self.__open__()
         return None
 
     def delete_if_equal(self, key: str, expected_value: str) -> bool: