diff --git a/api/app/celery_worker.py b/api/app/celery_worker.py index 4ea4fee1..9fabe15b 100644 --- a/api/app/celery_worker.py +++ b/api/app/celery_worker.py @@ -2,6 +2,8 @@ Celery Worker 入口点 用于启动 Celery Worker: celery -A app.celery_worker worker --loglevel=info """ +from celery.signals import worker_process_init + from app.celery_app import celery_app from app.core.logging_config import LoggingConfig, get_logger @@ -13,4 +15,39 @@ logger.info("Celery worker logging initialized") # 导入任务模块以注册任务 import app.tasks + +@worker_process_init.connect +def _reinit_db_pool(**kwargs): + """ + prefork 子进程启动时重建被 fork 污染的资源。 + + fork() 后子进程继承了父进程的： + 1. SQLAlchemy 连接池 — 多进程共享 TCP socket 导致 DB 连接损坏 + 2. ThreadPoolExecutor — fork 后线程状态不确定，第二个任务会死锁 + """ + # 重建 DB 连接池 + from app.db import engine + engine.dispose() + logger.info("DB connection pool disposed for forked worker process") + + # 重建模块级 ThreadPoolExecutor（fork 后线程池不可用） + try: + from app.core.rag.deepdoc.parser import figure_parser + from concurrent.futures import ThreadPoolExecutor + figure_parser.shared_executor = ThreadPoolExecutor(max_workers=10) + logger.info("figure_parser.shared_executor recreated") + except Exception as e: + logger.warning(f"Failed to recreate figure_parser.shared_executor: {e}") + + try: + from app.core.rag.utils import libre_office + from concurrent.futures import ThreadPoolExecutor + import os + max_workers = os.cpu_count() * 2 if os.cpu_count() else 4 + libre_office.executor = ThreadPoolExecutor(max_workers=max_workers) + logger.info("libre_office.executor recreated") + except Exception as e: + logger.warning(f"Failed to recreate libre_office.executor: {e}") + + __all__ = ['celery_app'] diff --git a/api/app/controllers/api_key_controller.py b/api/app/controllers/api_key_controller.py index dce8450d..6e414276 100644 --- a/api/app/controllers/api_key_controller.py +++ b/api/app/controllers/api_key_controller.py @@ -167,6 +167,8 @@ def update_api_key( return success(data=api_key_schema.ApiKey.model_validate(api_key), msg="API Key 更新成功") + except BusinessException: + raise except Exception as e: logger.error(f"未知错误: {str(e)}", extra={ "api_key_id": str(api_key_id), diff --git a/api/app/controllers/app_controller.py b/api/app/controllers/app_controller.py index 3d97f2a2..f3cbe5ea 100644 --- a/api/app/controllers/app_controller.py +++ b/api/app/controllers/app_controller.py @@ -219,6 +219,7 @@ def delete_app( @router.post("/{app_id}/copy", summary="复制应用") @cur_workspace_access_guard() +@check_app_quota def copy_app( app_id: uuid.UUID, new_name: Optional[str] = None, @@ -1144,6 +1145,7 @@ async def import_workflow_config( @router.post("/workflow/import/save") @cur_workspace_access_guard() +@check_app_quota async def save_workflow_import( data: WorkflowImportSave, db: Session = Depends(get_db), @@ -1281,6 +1283,10 @@ async def import_app( return fail(msg="YAML 格式无效，缺少 app 字段", code=BizCode.BAD_REQUEST) target_app_id = uuid.UUID(app_id) if app_id else None + # 仅新建应用时检查配额，覆盖已有应用时跳过 + if target_app_id is None: + from app.core.quota_manager import _check_quota + _check_quota(db, current_user.tenant_id, "app_quota", "app") result_app, warnings = AppDslService(db).import_dsl( dsl=dsl, workspace_id=current_user.current_workspace_id, diff --git a/api/app/controllers/chunk_controller.py b/api/app/controllers/chunk_controller.py index cc1f8c98..3012d159 100644 --- a/api/app/controllers/chunk_controller.py +++ b/api/app/controllers/chunk_controller.py @@ -457,7 +457,7 @@ async def retrieve_chunks( if doc.metadata["doc_id"] not in seen_ids: seen_ids.add(doc.metadata["doc_id"]) unique_rs.append(doc) - rs = vector_service.rerank(query=retrieve_data.query, docs=unique_rs, top_k=retrieve_data.top_k) + rs = vector_service.rerank(query=retrieve_data.query, docs=unique_rs, top_k=retrieve_data.top_k) if unique_rs else [] if retrieve_data.retrieve_type == chunk_schema.RetrieveType.Graph: kb_ids = [str(kb_id) for kb_id in private_kb_ids] workspace_ids = [str(workspace_id) for workspace_id in private_workspace_ids] diff --git a/api/app/controllers/public_share_controller.py b/api/app/controllers/public_share_controller.py index 049535b5..486854ba 100644 --- a/api/app/controllers/public_share_controller.py +++ b/api/app/controllers/public_share_controller.py @@ -219,9 +219,20 @@ def list_conversations( end_user_repo = EndUserRepository(db) app_service = AppService(db) app = app_service._get_app_or_404(share.app_id) + workspace_id = app.workspace_id + + # 仅在新建终端用户时检查配额 + existing_end_user = end_user_repo.get_end_user_by_other_id(workspace_id=workspace_id, other_id=other_id) + if existing_end_user is None: + from app.core.quota_manager import _check_quota + from app.models.workspace_model import Workspace + ws = db.query(Workspace).filter(Workspace.id == workspace_id).first() + if ws: + _check_quota(db, ws.tenant_id, "end_user_quota", "end_user") + new_end_user = end_user_repo.get_or_create_end_user( app_id=share.app_id, - workspace_id=app.workspace_id, + workspace_id=workspace_id, other_id=other_id ) logger.debug(new_end_user.id) @@ -309,7 +320,6 @@ def get_conversation( "/chat", summary="发送消息（支持流式和非流式）" ) -@check_end_user_quota async def chat( payload: conversation_schema.ChatRequest, share_data: ShareTokenData = Depends(get_share_user_id), @@ -350,6 +360,18 @@ async def chat( app_service = AppService(db) app = app_service._get_app_or_404(share.app_id) workspace_id = app.workspace_id + + # 仅在新建终端用户时检查配额，已有用户复用不受限制 + existing_end_user = end_user_repo.get_end_user_by_other_id(workspace_id=workspace_id, other_id=other_id) + logger.info(f"终端用户配额检查: workspace_id={workspace_id}, other_id={other_id}, existing={existing_end_user is not None}") + if existing_end_user is None: + from app.core.quota_manager import _check_quota + from app.models.workspace_model import Workspace + ws = db.query(Workspace).filter(Workspace.id == workspace_id).first() + if ws: + logger.info(f"新终端用户，执行配额检查: tenant_id={ws.tenant_id}") + _check_quota(db, ws.tenant_id, "end_user_quota", "end_user") + new_end_user = end_user_repo.get_or_create_end_user( app_id=share.app_id, workspace_id=workspace_id, diff --git a/api/app/controllers/service/app_api_controller.py b/api/app/controllers/service/app_api_controller.py index a78fd842..d8aefc72 100644 --- a/api/app/controllers/service/app_api_controller.py +++ b/api/app/controllers/service/app_api_controller.py @@ -106,6 +106,16 @@ async def chat( other_id = payload.user_id workspace_id = api_key_auth.workspace_id end_user_repo = EndUserRepository(db) + + # 仅在新建终端用户时检查配额，已有用户复用不受限制 + existing_end_user = end_user_repo.get_end_user_by_other_id(workspace_id=workspace_id, other_id=other_id) + if existing_end_user is None: + from app.core.quota_manager import _check_quota + from app.models.workspace_model import Workspace + ws = db.query(Workspace).filter(Workspace.id == workspace_id).first() + if ws: + _check_quota(db, ws.tenant_id, "end_user_quota", "end_user") + new_end_user = end_user_repo.get_or_create_end_user( app_id=app.id, workspace_id=workspace_id, diff --git a/api/app/core/error_codes.py b/api/app/core/error_codes.py index a4a20cbb..77bce6b4 100644 --- a/api/app/core/error_codes.py +++ b/api/app/core/error_codes.py @@ -32,6 +32,8 @@ class BizCode(IntEnum): API_KEY_DAILY_LIMIT_EXCEEDED = 3015 API_KEY_QUOTA_EXCEEDED = 3016 API_KEY_RATE_LIMIT_EXCEEDED = 3017 + QUOTA_EXCEEDED = 3018 + RATE_LIMIT_EXCEEDED = 3019 # 资源（4xxx） NOT_FOUND = 4000 USER_NOT_FOUND = 4001 @@ -156,7 +158,8 @@ HTTP_MAPPING = { BizCode.API_KEY_QPS_LIMIT_EXCEEDED: 429, BizCode.API_KEY_DAILY_LIMIT_EXCEEDED: 429, BizCode.API_KEY_QUOTA_EXCEEDED: 429, - + BizCode.QUOTA_EXCEEDED: 402, + BizCode.MODEL_CONFIG_INVALID: 400, BizCode.API_KEY_MISSING: 400, BizCode.PROVIDER_NOT_SUPPORTED: 400, @@ -185,4 +188,21 @@ HTTP_MAPPING = { BizCode.DB_ERROR: 500, BizCode.SERVICE_UNAVAILABLE: 503, BizCode.RATE_LIMITED: 429, + BizCode.RATE_LIMIT_EXCEEDED: 429, +} + +ERROR_CODE_TO_BIZ_CODE = { + "QUOTA_EXCEEDED": BizCode.QUOTA_EXCEEDED, + "RATE_LIMIT_EXCEEDED": BizCode.RATE_LIMIT_EXCEEDED, + "API_KEY_NOT_FOUND": BizCode.API_KEY_NOT_FOUND, + "API_KEY_INVALID": BizCode.API_KEY_INVALID, + "API_KEY_EXPIRED": BizCode.API_KEY_EXPIRED, + "WORKSPACE_NOT_FOUND": BizCode.WORKSPACE_NOT_FOUND, + "WORKSPACE_NO_ACCESS": BizCode.WORKSPACE_NO_ACCESS, + "PERMISSION_DENIED": BizCode.PERMISSION_DENIED, + "TOKEN_EXPIRED": BizCode.TOKEN_EXPIRED, + "TOKEN_INVALID": BizCode.TOKEN_INVALID, + "VALIDATION_FAILED": BizCode.VALIDATION_FAILED, + "INVALID_PARAMETER": BizCode.INVALID_PARAMETER, + "MISSING_PARAMETER": BizCode.MISSING_PARAMETER, } diff --git a/api/app/core/rag/common/connection_utils.py b/api/app/core/rag/common/connection_utils.py index 349caa27..d5d0dc2a 100644 --- a/api/app/core/rag/common/connection_utils.py +++ b/api/app/core/rag/common/connection_utils.py @@ -33,18 +33,16 @@ def timeout(seconds: float | int | str = None, attempts: int = 2, *, exception: thread.daemon = True thread.start() + effective_timeout = seconds if seconds else 120 # 默认 120 秒超时 for a in range(attempts): try: - if os.environ.get("ENABLE_TIMEOUT_ASSERTION"): - result = result_queue.get(timeout=seconds) - else: - result = result_queue.get() + result = result_queue.get(timeout=effective_timeout) if isinstance(result, Exception): raise result return result except queue.Empty: pass - raise TimeoutError(f"Function '{func.__name__}' timed out after {seconds} seconds and {attempts} attempts.") + raise TimeoutError(f"Function '{func.__name__}' timed out after {effective_timeout} seconds and {attempts} attempts.") @wraps(func) async def async_wrapper(*args, **kwargs) -> Any: diff --git a/api/app/core/rag/nlp/search.py b/api/app/core/rag/nlp/search.py index 61540ee4..4b99986b 100644 --- a/api/app/core/rag/nlp/search.py +++ b/api/app/core/rag/nlp/search.py @@ -113,7 +113,7 @@ def knowledge_retrieval( continue # Use the specified reranker for re-ranking - if reranker_id: + if reranker_id and all_results: try: all_results = rerank(db=db, reranker_id=reranker_id, query=query, docs=all_results, top_k=reranker_top_k) except Exception as rerank_error: diff --git a/api/app/core/rag/utils/es_conn.py b/api/app/core/rag/utils/es_conn.py index 7fbf0e38..9a0edd24 100644 --- a/api/app/core/rag/utils/es_conn.py +++ b/api/app/core/rag/utils/es_conn.py @@ -68,9 +68,9 @@ class ESConnection(DocStoreConnection): client_config = { "hosts": [hosts], "basic_auth": (os.getenv("ELASTICSEARCH_USERNAME", "elastic"), os.getenv("ELASTICSEARCH_PASSWORD", "elastic")), - "request_timeout": int(os.getenv("ELASTICSEARCH_REQUEST_TIMEOUT", 100000)), + "request_timeout": int(os.getenv("ELASTICSEARCH_REQUEST_TIMEOUT", 30)), "retry_on_timeout": os.getenv("ELASTICSEARCH_RETRY_ON_TIMEOUT", True) == "true", - "max_retries": int(os.getenv("ELASTICSEARCH_MAX_RETRIES", 10000)), + "max_retries": int(os.getenv("ELASTICSEARCH_MAX_RETRIES", 3)), } # Only add SSL settings if using HTTPS diff --git a/api/app/core/rag/vdb/elasticsearch/elasticsearch_vector.py b/api/app/core/rag/vdb/elasticsearch/elasticsearch_vector.py index 386920e0..cc9ec120 100644 --- a/api/app/core/rag/vdb/elasticsearch/elasticsearch_vector.py +++ b/api/app/core/rag/vdb/elasticsearch/elasticsearch_vector.py @@ -1,25 +1,22 @@ import os import logging -from typing import Any, cast +import threading +from typing import Any from urllib.parse import urlparse -import uuid import requests from elasticsearch import Elasticsearch, helpers from elasticsearch.helpers import BulkIndexError from packaging.version import parse as parse_version -from pydantic import BaseModel, model_validator -from abc import ABC # langchain-community # langchain-xinference # from langchain_community.embeddings import XinferenceEmbeddings # from langchain_xinference import XinferenceRerank from langchain_core.documents import Document from app.core.models.base import RedBearModelConfig -from app.core.models import RedBearLLM, RedBearRerank +from app.core.models import RedBearRerank from app.core.models.embedding import RedBearEmbeddings -from app.models.models_model import ModelConfig, ModelApiKey -from app.services.model_service import ModelConfigService +from app.models.models_model import ModelApiKey from app.models.knowledge_model import Knowledge from app.core.rag.vdb.field import Field @@ -29,37 +26,9 @@ from app.core.rag.models.chunk import DocumentChunk logger = logging.getLogger(__name__) -class ElasticSearchConfig(BaseModel): - # Regular Elasticsearch config - host: str | None = None - port: int | None = None - username: str | None = None - password: str | None = None - - # Common config - ca_certs: str | None = None - verify_certs: bool = False - request_timeout: int = 100000 - retry_on_timeout: bool = True - max_retries: int = 10000 - - @model_validator(mode="before") - @classmethod - def validate_config(cls, values: dict): - # Regular Elasticsearch validation - if not values.get("host"): - raise ValueError("config HOST is required for regular Elasticsearch") - if not values.get("port"): - raise ValueError("config PORT is required for regular Elasticsearch") - if not values.get("username"): - raise ValueError("config USERNAME is required for regular Elasticsearch") - if not values.get("password"): - raise ValueError("config PASSWORD is required for regular Elasticsearch") - return values - - class ElasticSearchVector(BaseVector): - def __init__(self, index_name: str, config: ElasticSearchConfig, embedding_config: ModelApiKey, reranker_config: ModelApiKey): + def __init__(self, index_name: str, client: Elasticsearch, + embedding_config: ModelApiKey, reranker_config: ModelApiKey): super().__init__(index_name.lower()) # 初始化 Embedding 模型（自动支持火山引擎多模态） @@ -77,58 +46,8 @@ class ElasticSearchVector(BaseVector): api_key=reranker_config.api_key, base_url=reranker_config.api_base )) - self._client = self._init_client(config) - self._version = self._get_version() - self._check_version() - - def _init_client(self, config: ElasticSearchConfig) -> Elasticsearch: - """ - Initialize Elasticsearch client for regular Elasticsearch. - """ - try: - # Regular Elasticsearch configuration - parsed_url = urlparse(config.host or "") - if parsed_url.scheme in {"http", "https"}: - hosts = f"{config.host}:{config.port}" - use_https = parsed_url.scheme == "https" - else: - hosts = f"https://{config.host}:{config.port}" - use_https = False - - client_config = { - "hosts": [hosts], - "basic_auth": (config.username, config.password), - "request_timeout": config.request_timeout, - "retry_on_timeout": config.retry_on_timeout, - "max_retries": config.max_retries, - } - - # Only add SSL settings if using HTTPS - if use_https: - client_config["verify_certs"] = config.verify_certs - if config.ca_certs: - client_config["ca_certs"] = config.ca_certs - - client = Elasticsearch(**client_config) - - # Test connection - if not client.ping(): - raise ConnectionError("Failed to connect to Elasticsearch") - - except requests.ConnectionError as e: - raise ConnectionError(f"Vector database connection error: {str(e)}") - except Exception as e: - raise ConnectionError(f"Elasticsearch client initialization failed: {str(e)}") - - return client - - def _get_version(self) -> str: - info = self._client.info() - return cast(str, info["version"]["number"]) - - def _check_version(self): - if parse_version(self._version) < parse_version("8.0.0"): - raise ValueError("Elasticsearch vector database version must be greater than 8.0.0") + # 使用外部传入的共享客户端 + self._client = client def get_type(self) -> str: return "elasticsearch" @@ -745,29 +664,79 @@ class ElasticSearchVector(BaseVector): class ElasticSearchVectorFactory: - @staticmethod - def init_vector(knowledge: Knowledge) -> ElasticSearchVector: + """ES 向量服务工厂 - 单例共享连接""" + + _client: Elasticsearch | None = None + _lock = threading.Lock() + _version_checked = False + + @classmethod + def _get_shared_client(cls) -> Elasticsearch: + """获取共享的 ES 客户端（线程安全的懒加载单例）""" + if cls._client is not None: + return cls._client + + with cls._lock: + # 双重检查，防止并发时重复创建 + if cls._client is not None: + return cls._client + + try: + parsed_url = urlparse(os.getenv("ELASTICSEARCH_HOST", "127.0.0.1") or "") + if parsed_url.scheme in {"http", "https"}: + hosts = f'{os.getenv("ELASTICSEARCH_HOST")}:{os.getenv("ELASTICSEARCH_PORT", 9200)}' + use_https = parsed_url.scheme == "https" + else: + hosts = f'https://{os.getenv("ELASTICSEARCH_HOST", "127.0.0.1")}:{os.getenv("ELASTICSEARCH_PORT", 9200)}' + use_https = False + + client_config = { + "hosts": [hosts], + "basic_auth": ( + os.getenv("ELASTICSEARCH_USERNAME", "elastic"), + os.getenv("ELASTICSEARCH_PASSWORD", "elastic"), + ), + "request_timeout": int(os.getenv("ELASTICSEARCH_REQUEST_TIMEOUT", 30)), + "retry_on_timeout": True, + "max_retries": int(os.getenv("ELASTICSEARCH_MAX_RETRIES", 3)), + "connections_per_node": int(os.getenv("ELASTICSEARCH_CONNECTIONS_PER_NODE", 10)), + } + + if use_https: + client_config["verify_certs"] = os.getenv("ELASTICSEARCH_VERIFY_CERTS", "false") == "true" + ca_certs = os.getenv("ELASTICSEARCH_CA_CERTS") + if ca_certs: + client_config["ca_certs"] = str(ca_certs) + + client = Elasticsearch(**client_config) + + if not client.ping(): + raise ConnectionError("Failed to connect to Elasticsearch") + + # 版本检查只做一次 + if not cls._version_checked: + info = client.info() + version = info["version"]["number"] + if parse_version(version) < parse_version("8.0.0"): + raise ValueError(f"Elasticsearch version must be >= 8.0.0, got {version}") + cls._version_checked = True + logger.info(f"Elasticsearch shared client initialized, version: {version}") + + cls._client = client + + except requests.ConnectionError as e: + raise ConnectionError(f"Vector database connection error: {str(e)}") + except Exception as e: + raise ConnectionError(f"Elasticsearch client initialization failed: {str(e)}") + + return cls._client + + @classmethod + def init_vector(cls, knowledge: Knowledge) -> ElasticSearchVector: + """创建向量服务实例（共享 ES 连接）""" + client = cls._get_shared_client() collection_name = f"Vector_index_{knowledge.id}_Node" - # Use regular Elasticsearch with config values - config_dict = { - "host": os.getenv("ELASTICSEARCH_HOST", "127.0.0.1"), - "port": os.getenv("ELASTICSEARCH_PORT", 9200), - "username": os.getenv("ELASTICSEARCH_USERNAME", "elastic"), - "password": os.getenv("ELASTICSEARCH_PASSWORD", "elastic"), - } - - # Common configuration - config_dict.update( - { - "ca_certs": str(os.getenv("ELASTICSEARCH_CA_CERTS")) if os.getenv("ELASTICSEARCH_CA_CERTS") else None, - "verify_certs": os.getenv("ELASTICSEARCH_VERIFY_CERTS", False) == "true", - "request_timeout": int(os.getenv("ELASTICSEARCH_REQUEST_TIMEOUT", 100000)), - "retry_on_timeout": os.getenv("ELASTICSEARCH_RETRY_ON_TIMEOUT", True) == "true", - "max_retries": int(os.getenv("ELASTICSEARCH_MAX_RETRIES", 10000)), - } - ) - if knowledge.embedding is None: raise ValueError(f"embedding_id config error: {str(knowledge.embedding_id)}") if knowledge.reranker is None: @@ -775,9 +744,9 @@ class ElasticSearchVectorFactory: return ElasticSearchVector( index_name=collection_name, - config=ElasticSearchConfig(**config_dict), + client=client, embedding_config=knowledge.embedding.api_keys[0], - reranker_config=knowledge.reranker.api_keys[0] + reranker_config=knowledge.reranker.api_keys[0], ) diff --git a/api/app/i18n/exceptions.py b/api/app/i18n/exceptions.py index 9a517925..93794c39 100644 --- a/api/app/i18n/exceptions.py +++ b/api/app/i18n/exceptions.py @@ -6,12 +6,14 @@ error messages based on the current request's language. """ import logging +import time from contextvars import ContextVar from typing import Any, Dict, Optional from fastapi import HTTPException, Request from app.i18n.service import get_translation_service +from app.core.error_codes import ERROR_CODE_TO_BIZ_CODE, BizCode logger = logging.getLogger(__name__) @@ -118,15 +120,24 @@ class I18nException(HTTPException): **params ) - # Build error detail - detail = { - "error_code": self.error_code, - "message": message, - } + # Convert error_code string to BizCode value + biz_code = ERROR_CODE_TO_BIZ_CODE.get( + self.error_code, + BizCode.BAD_REQUEST + ) - # Add parameters to detail if provided - if params: - detail["params"] = params + # Build error detail in standard format for compatibility + # main.py handler expects "message" and "error_code" fields for filtering + # but we also include standard format fields + detail = { + "code": biz_code.value, + "msg": message, + "message": message, + "error_code": self.error_code, + "data": params if params else {}, + "error": message, + "time": int(time.time() * 1000), + } # Initialize HTTPException super().__init__( diff --git a/api/app/repositories/end_user_repository.py b/api/app/repositories/end_user_repository.py index aad80707..aba4034f 100644 --- a/api/app/repositories/end_user_repository.py +++ b/api/app/repositories/end_user_repository.py @@ -66,6 +66,17 @@ class EndUserRepository: db_logger.error(f"查询宿主 {end_user_id} 时出错: {str(e)}") raise + def get_end_user_by_other_id(self, workspace_id: uuid.UUID, other_id: str) -> Optional["EndUser"]: + """按 workspace_id + other_id 查找终端用户，不存在返回 None""" + return ( + self.db.query(EndUser) + .filter( + EndUser.workspace_id == workspace_id, + EndUser.other_id == other_id + ) + .first() + ) + def get_or_create_end_user( self, app_id: uuid.UUID, diff --git a/api/app/services/api_key_service.py b/api/app/services/api_key_service.py index 5143ac3e..4856365a 100644 --- a/api/app/services/api_key_service.py +++ b/api/app/services/api_key_service.py @@ -51,7 +51,7 @@ class ApiKeyService: if existing: raise BusinessException(f"API Key 名称 {data.name} 已存在", BizCode.API_KEY_DUPLICATE_NAME) - # 若 rate_limit 超过租户套餐的 api_ops_rate_limit，自动截断到套餐上限 + # 若 rate_limit 超过租户套餐的 api_ops_rate_limit，直接报错 from app.models.workspace_model import Workspace from app.core.quota_manager import get_api_ops_rate_limit @@ -59,7 +59,10 @@ class ApiKeyService: if workspace: tenant_api_ops_limit = get_api_ops_rate_limit(db, workspace.tenant_id) if tenant_api_ops_limit and data.rate_limit > tenant_api_ops_limit: - data.rate_limit = tenant_api_ops_limit + raise BusinessException( + f"API Key QPS 不能超过套餐上限 {tenant_api_ops_limit}", + BizCode.BAD_REQUEST + ) # 生成 API Key api_key = generate_api_key(data.type) @@ -162,7 +165,7 @@ class ApiKeyService: if existing: raise BusinessException(f"API Key 名称 {data.name} 已存在", BizCode.API_KEY_DUPLICATE_NAME) - # 若 rate_limit 超过租户套餐的 api_ops_rate_limit，自动截断到套餐上限 + # 若 rate_limit 超过租户套餐的 api_ops_rate_limit，直接报错 if data.rate_limit is not None: from app.models.workspace_model import Workspace from app.core.quota_manager import get_api_ops_rate_limit @@ -171,7 +174,10 @@ class ApiKeyService: if workspace: tenant_api_ops_limit = get_api_ops_rate_limit(db, workspace.tenant_id) if tenant_api_ops_limit and data.rate_limit > tenant_api_ops_limit: - data.rate_limit = tenant_api_ops_limit + raise BusinessException( + f"API Key QPS 不能超过套餐上限 {tenant_api_ops_limit}", + BizCode.BAD_REQUEST + ) update_data = data.model_dump(exclude_unset=True) ApiKeyRepository.update(db, api_key_id, update_data) diff --git a/api/app/services/app_dsl_service.py b/api/app/services/app_dsl_service.py index 26e4098c..63279d2c 100644 --- a/api/app/services/app_dsl_service.py +++ b/api/app/services/app_dsl_service.py @@ -434,19 +434,37 @@ class AppDslService: def _resolve_model(self, ref: Optional[dict], tenant_id: uuid.UUID, warnings: list) -> Optional[uuid.UUID]: if not ref: return None - q = self.db.query(ModelConfig).filter( - ModelConfig.tenant_id == tenant_id, - ModelConfig.name == ref.get("name"), - ModelConfig.is_active.is_(True) - ) - if ref.get("provider"): - q = q.filter(ModelConfig.provider == ref["provider"]) - if ref.get("type"): - q = q.filter(ModelConfig.type == ref["type"]) - m = q.first() - if not m: - warnings.append(f"模型 '{ref.get('name')}' 未匹配，已置空，请导入后手动配置") - return m.id if m else None + model_id = ref.get("id") + if model_id: + try: + model_uuid = uuid.UUID(str(model_id)) + m = self.db.query(ModelConfig).filter( + ModelConfig.id == model_uuid, + ModelConfig.tenant_id == tenant_id, + ModelConfig.is_active.is_(True) + ).first() + if m: + return str(m.id) + except (ValueError, AttributeError): + pass + model_name = ref.get("name") + if model_name: + q = self.db.query(ModelConfig).filter( + ModelConfig.tenant_id == tenant_id, + ModelConfig.name == model_name, + ModelConfig.is_active.is_(True) + ) + if ref.get("provider"): + q = q.filter(ModelConfig.provider == ref["provider"]) + if ref.get("type"): + q = q.filter(ModelConfig.type == ref["type"]) + m = q.first() + if m: + return str(m.id) + warnings.append(f"模型 '{model_name}' 未匹配，已置空，请导入后手动配置") + else: + warnings.append(f"模型 ID '{model_id}' 未匹配，已置空，请导入后手动配置") + return None def _resolve_kb(self, ref: Optional[dict], workspace_id: uuid.UUID, warnings: list) -> Optional[str]: if not ref: @@ -587,7 +605,7 @@ class AppDslService: if not kb_id: continue kb_ref = {} - if isinstance(kb_id, str) and len(kb_id) >= 36: + if isinstance(kb_id, str): try: uuid.UUID(kb_id) kb_ref["id"] = kb_id @@ -601,6 +619,33 @@ class AppDslService: else: warnings.append(f"[{node_label}] 知识库 '{kb_id}' 未匹配，已移除，请导入后手动配置") config["knowledge_bases"] = resolved_kbs + elif node_type in (NodeType.LLM.value, NodeType.QUESTION_CLASSIFIER.value, NodeType.PARAMETER_EXTRACTOR.value): + model_ref = config.get("model_id") + if model_ref: + ref_dict = None + if isinstance(model_ref, dict): + ref_id = model_ref.get("id") + ref_name = model_ref.get("name") + if ref_id: + ref_dict = {"id": ref_id} + elif ref_name is not None: + ref_dict = {"name": ref_name, "provider": model_ref.get("provider"), "type": model_ref.get("type")} + elif isinstance(model_ref, str): + try: + uuid.UUID(model_ref) + ref_dict = {"id": model_ref} + except ValueError: + ref_dict = {"name": model_ref} + if ref_dict: + resolved_model_id = self._resolve_model(ref_dict, tenant_id, warnings) + if resolved_model_id: + config["model_id"] = resolved_model_id + else: + warnings.append(f"[{node_label}] 模型未匹配，已置空，请导入后手动配置") + config["model_id"] = None + else: + warnings.append(f"[{node_label}] 模型未匹配，已置空，请导入后手动配置") + config["model_id"] = None resolved_nodes.append({**node, "config": config}) return resolved_nodes diff --git a/api/app/services/knowledge_service.py b/api/app/services/knowledge_service.py index b1d0d77b..20757307 100644 --- a/api/app/services/knowledge_service.py +++ b/api/app/services/knowledge_service.py @@ -7,7 +7,6 @@ from app.models.models_model import ModelConfig from app.schemas.knowledge_schema import KnowledgeCreate, KnowledgeUpdate from app.repositories import knowledge_repository from app.core.logging_config import get_business_logger -from app.repositories.model_repository import ModelConfigRepository from app.models.models_model import ModelType business_logger = get_business_logger() @@ -77,53 +76,32 @@ def create_knowledge( tenant_id = workspace.tenant_id - def _get_model_by_name_or_fallback(model_name: str | None, model_types: list, label: str): - """优先按 workspace 指定的 model name 查，找不到再 fallback 到 tenant 下第一个""" - if model_name: - model = db.query(ModelConfig).filter( - ModelConfig.tenant_id == tenant_id, - ModelConfig.name == model_name, - ModelConfig.type.in_([t.value for t in model_types]), - ModelConfig.is_active == True, - ModelConfig.is_composite == False - ).first() - if model: - business_logger.debug(f"Auto-bind {label} model from workspace default: {model.id} ({model_name})") - return model - business_logger.debug(f"Workspace default {label} model '{model_name}' not found, falling back to tenant") - models = ModelConfigRepository.get_by_type(db=db, model_types=model_types, tenant_id=tenant_id, is_active=True) - if models: - business_logger.debug(f"Auto-bind {label} model from tenant fallback: {models[0].id}") - return models[0] - return None - if not knowledge.embedding_id: - model = _get_model_by_name_or_fallback(workspace.embedding, [ModelType.EMBEDDING], "embedding") - if model: - knowledge.embedding_id = model.id + if not workspace.embedding: + raise Exception("工作空间未配置 Embedding 模型，请先完善工作空间配置后重试") + knowledge.embedding_id = workspace.embedding if not knowledge.reranker_id: - model = _get_model_by_name_or_fallback(workspace.rerank, [ModelType.RERANK], "rerank") - if model: - knowledge.reranker_id = model.id + if not workspace.rerank: + raise Exception("工作空间未配置 Rerank 模型，请先完善工作空间配置后重试") + knowledge.reranker_id = workspace.rerank if not knowledge.llm_id: - model = _get_model_by_name_or_fallback(workspace.llm, [ModelType.LLM, ModelType.CHAT], "llm") - if model: - knowledge.llm_id = model.id + if not workspace.llm: + raise Exception("工作空间未配置 LLM 模型，请先完善工作空间配置后重试") + knowledge.llm_id = workspace.llm if not knowledge.image2text_id: - image2text_models = db.query(ModelConfig).filter( + model = db.query(ModelConfig).filter( ModelConfig.tenant_id == tenant_id, - ModelConfig.type.in_([ModelType.CHAT.value]), + ModelConfig.type.in_([ModelType.CHAT.value, ModelType.LLM.value]), ModelConfig.capability.contains(["vision"]), ModelConfig.is_active == True, - ModelConfig.is_composite == False - ).order_by(ModelConfig.created_at.desc()).all() - if not image2text_models: + ).order_by(ModelConfig.created_at.desc()).first() + if not model: raise Exception("租户下没有可用的视觉模型，创建知识库失败") - knowledge.image2text_id = image2text_models[0].id - business_logger.debug(f"Auto-bind image2text model: {image2text_models[0].id}") + knowledge.image2text_id = model.id + business_logger.debug(f"Auto-bind image2text model: {model.id}") business_logger.debug(f"Start creating the knowledge base: {knowledge.name}") db_knowledge = knowledge_repository.create_knowledge( diff --git a/api/app/tasks.py b/api/app/tasks.py index 8bbbdc6e..92843175 100644 --- a/api/app/tasks.py +++ b/api/app/tasks.py @@ -251,8 +251,40 @@ def parse_document(file_path: str, document_id: uuid.UUID): # Prepare vision_model for parsing vision_model = _build_vision_model(file_path, db_knowledge) + # 先将文件读入内存，避免解析过程中依赖 NFS 文件持续可访问 + # python-docx 等库在 binary=None 时会用路径直接打开文件， + # 在 NFS/共享存储上可能因缓存失效导致 "Package not found" + max_wait_seconds = 30 + wait_interval = 2 + waited = 0 + file_binary = None + while waited <= max_wait_seconds: + # os.listdir 强制 NFS 客户端刷新目录缓存 + parent_dir = os.path.dirname(file_path) + try: + os.listdir(parent_dir) + except OSError: + pass + try: + with open(file_path, "rb") as f: + file_binary = f.read() + if not file_binary: + # NFS 上文件存在但内容为空（可能还在同步中） + raise IOError(f"File is empty (0 bytes), NFS may still be syncing: {file_path}") + break + except (FileNotFoundError, IOError) as e: + if waited >= max_wait_seconds: + raise type(e)( + f"File not accessible at '{file_path}' after waiting {max_wait_seconds}s: {e}" + ) + logger.warning(f"File not ready on this node, retrying in {wait_interval}s: {file_path} ({e})") + time.sleep(wait_interval) + waited += wait_interval + from app.core.rag.app.naive import chunk + logger.info(f"[ParseDoc] file_binary size={len(file_binary)} bytes, type={type(file_binary).__name__}, bool={bool(file_binary)}") res = chunk(filename=file_path, + binary=file_binary, from_page=0, to_page=DEFAULT_PARSE_TO_PAGE, callback=progress_callback, diff --git a/web/src/components/SiderMenu/SubscriptionDetailModal.tsx b/web/src/components/SiderMenu/SubscriptionDetailModal.tsx index fbb5030c..699328e2 100644 --- a/web/src/components/SiderMenu/SubscriptionDetailModal.tsx +++ b/web/src/components/SiderMenu/SubscriptionDetailModal.tsx @@ -2,11 +2,11 @@ * @Author: ZhaoYing * @Date: 2026-04-14 12:28:23 * @Last Modified by: ZhaoYing - * @Last Modified time: 2026-04-16 17:34:02 + * @Last Modified time: 2026-04-21 15:46:35 */ import { useState, forwardRef, useImperativeHandle } from 'react'; -import { Flex, Tooltip, Divider } from 'antd'; +import { Flex, Divider } from 'antd'; import { useTranslation } from 'react-i18next'; import clsx from 'clsx'; @@ -82,8 +82,7 @@ const SubscriptionDetailModal = forwardRef((_props, {/* Features */} {billingUnits.map(({ key, unit, icon }) => { - const value = detail?.quotas[key as keyof Subscription['quotas']]; - if (value === undefined || value === null) return null; + const value = detail?.quotas?.[key as keyof Subscription['quotas']]; return ( ((_props, /> ) })} - {detail?.package_plan?.tech_support && ( + {detail?.package_plan?.tech_support && detail?.package_plan?.[getKeyWithLanguage('tech_support')] && ( ((_props, theme_color={detail?.package_plan?.theme_color} /> )} - {detail?.package_plan?.sla_compliance && ( + {detail?.package_plan?.sla_compliance && detail?.package_plan?.[getKeyWithLanguage('sla_compliance')] && ( {['workspace_quota', 'skill_quota', 'app_quota', 'model_quota'].map(key => (
-
{subscription.quotas?.[key as keyof typeof subscription.quotas]}
+
{subscription.quotas?.[key as keyof typeof subscription.quotas] ?? t('package.noLimit')}
{t(`index.${key}`)}
))} diff --git a/web/src/i18n/en.ts b/web/src/i18n/en.ts index 64b600ba..4d284905 100644 --- a/web/src/i18n/en.ts +++ b/web/src/i18n/en.ts @@ -451,6 +451,9 @@ export const en = { logoutApiCannotRefreshToken: 'Logout API cannot refresh token', publicApiCannotRefreshToken: 'Public API cannot refresh token', refreshTokenNotExist: 'Refresh token does not exist', + SYSTEM_DEFAULT_SCENE_CANNOT_DELETE: 'This is a system preset scene and cannot be deleted', + SYSTEM_DEFAULT_CLASS_CANNOT_DELETE: 'This scene is a system preset scene and cannot be deleted', + SYSTEM_DEFAULT_SCENE_CANNOT_UPDATE: 'This scene is a system preset scene and cannot be modified', reset: 'Reset', refresh: 'Refresh', return: 'Return', @@ -3093,6 +3096,7 @@ Memory Bear: After the rebellion, regional warlordism intensified for several re editPackage: 'Edit Package', viewDetail: 'View full package details', + noLimit: 'Unlimited', }, }, }; diff --git a/web/src/i18n/zh.ts b/web/src/i18n/zh.ts index cabb1eca..aea3b965 100644 --- a/web/src/i18n/zh.ts +++ b/web/src/i18n/zh.ts @@ -1130,6 +1130,9 @@ export const zh = { logoutApiCannotRefreshToken: '退出登录接口不能刷新token', publicApiCannotRefreshToken: '公共接口不能刷新token', refreshTokenNotExist: '刷新token不存在', + SYSTEM_DEFAULT_SCENE_CANNOT_DELETE: '该场景为系统预设场景，不允许删除', + SYSTEM_DEFAULT_CLASS_CANNOT_DELETE: '该场景为系统预设场景，不允许删除', + SYSTEM_DEFAULT_SCENE_CANNOT_UPDATE: '该场景为系统预设场景，不允许修改', reset: '重置', refresh: '刷新', return: '返回', @@ -3057,6 +3060,7 @@ export const zh = { editPackage: '编辑套餐', viewDetail: '查看完整套餐详情', + noLimit: '不限制', }, }, } \ No newline at end of file diff --git a/web/src/utils/stream.ts b/web/src/utils/stream.ts index ba966159..6ad1f785 100644 --- a/web/src/utils/stream.ts +++ b/web/src/utils/stream.ts @@ -2,7 +2,7 @@ * @Author: ZhaoYing * @Date: 2026-02-02 16:35:43 * @Last Modified by: ZhaoYing - * @Last Modified time: 2026-03-18 14:32:40 + * @Last Modified time: 2026-04-22 10:16:43 */ /** * Server-Sent Events (SSE) Stream Utility Module @@ -176,12 +176,12 @@ export const handleSSE = async (url: string, data: any, onMessage?: (data: SSEMe case 500: case 502: const errorData = await response.json(); - const errorInfo = errorData.error || i18n.t('common.serviceUpgrading'); + const errorInfo = errorData.error || errorData.msg || i18n.t('common.serviceUpgrading'); message.warning(errorInfo); throw new Error(errorData); case 400: const error = await response.json(); - const error400 = error.error || 'Bad Request'; + const error400 = error.error || error.msg || 'Bad Request'; message.warning(error400); throw new Error(error); case 403: @@ -190,7 +190,7 @@ export const handleSSE = async (url: string, data: any, onMessage?: (data: SSEMe throw new Error(errors); case 504: const errorJson = await response.json(); - const errorMsg = errorJson.error || i18n.t('common.serverError'); + const errorMsg = errorJson.error || errorJson.msg || i18n.t('common.serverError'); message.warning(errorMsg); throw new Error(errorJson); case 401: @@ -204,6 +204,13 @@ export const handleSSE = async (url: string, data: any, onMessage?: (data: SSEMe return; } break; + default: + if (!response.ok) { + const defaultData = await response.json().catch(() => ({})); + const defaultMsg = defaultData.error || defaultData.msg; + if (defaultMsg) message.warning(defaultMsg); + throw new Error(defaultMsg || `HTTP ${response.status}`); + } } if (!response.body) throw new Error('No response body'); diff --git a/web/src/views/ApplicationConfig/components/Knowledge/Knowledge.tsx b/web/src/views/ApplicationConfig/components/Knowledge/Knowledge.tsx index d213e739..8d590e6a 100644 --- a/web/src/views/ApplicationConfig/components/Knowledge/Knowledge.tsx +++ b/web/src/views/ApplicationConfig/components/Knowledge/Knowledge.tsx @@ -2,7 +2,7 @@ * @Author: ZhaoYing * @Date: 2026-02-03 16:25:32 * @Last Modified by: ZhaoYing - * @Last Modified time: 2026-03-04 10:34:43 + * @Last Modified time: 2026-04-21 13:34:52 */ /** * Knowledge Base Component @@ -54,7 +54,7 @@ const Knowledge: FC<{value?: KnowledgeConfig; onChange?: (config: KnowledgeConfi const basesWithoutName = knowledge_bases.filter(base => !base.name) if (basesWithoutName.length > 0) { // Call API to get complete knowledge base information - getKnowledgeBaseList().then(res => { + getKnowledgeBaseList(undefined, { kb_ids: basesWithoutName.map(vo => vo.kb_id).join(',') }).then(res => { const fullBases = knowledge_bases.map(base => { if (!base.name) { const fullBase = res.items.find((item: any) => item.id === base.kb_id) diff --git a/web/src/views/ModelManagement/components/CustomModelModal.tsx b/web/src/views/ModelManagement/components/CustomModelModal.tsx index 89aaec78..1fb8bead 100644 --- a/web/src/views/ModelManagement/components/CustomModelModal.tsx +++ b/web/src/views/ModelManagement/components/CustomModelModal.tsx @@ -2,7 +2,7 @@ * @Author: ZhaoYing * @Date: 2026-02-03 16:49:28 * @Last Modified by: ZhaoYing - * @Last Modified time: 2026-04-16 18:03:53 + * @Last Modified time: 2026-04-21 15:02:53 */ /** * Custom Model Modal @@ -230,21 +230,23 @@ const CustomModelModal = forwardRef( - - - + {!isEdit && <> + + + - - - + + + + } {['llm', 'chat'].includes(modelType as string) && diff --git a/web/src/views/Package/constant.ts b/web/src/views/Package/constant.ts index 7fc69969..168b65f8 100644 --- a/web/src/views/Package/constant.ts +++ b/web/src/views/Package/constant.ts @@ -2,7 +2,7 @@ * @Author: ZhaoYing * @Date: 2026-04-14 11:43:57 * @Last Modified by: ZhaoYing - * @Last Modified time: 2026-04-14 11:44:40 + * @Last Modified time: 2026-04-21 15:44:13 */ export const billingUnits = [ { @@ -42,7 +42,7 @@ export const billingUnits = [ }, { key: 'model_quota', - unit: 'ops', placeholder: 'numberPlaceholder', + unit: 'pcs', placeholder: 'numberPlaceholder', icon: 'model', }, { diff --git a/web/src/views/Package/index.tsx b/web/src/views/Package/index.tsx index b3aed9d5..ea9f1ec5 100644 --- a/web/src/views/Package/index.tsx +++ b/web/src/views/Package/index.tsx @@ -2,7 +2,7 @@ * @Author: ZhaoYing * @Date: 2026-04-14 11:34:42 * @Last Modified by: ZhaoYing - * @Last Modified time: 2026-04-16 17:23:49 + * @Last Modified time: 2026-04-21 15:45:30 */ /** * Package Component @@ -60,7 +60,7 @@ const btnClassNames = { default: 'rb:h-10! rb:rounded-[8px]! rb:bg-[#212332]! rb:text-white! rb:border-0! rb:hover:border-0! rb:hover:opacity-[0.8]', } -export const UnitWrapper = ({ titleKey, value, icon, unit, theme_color = '#171719' }: { titleKey: string; value: number | string; icon: string; unit?: string; theme_color?: string; }) => { +export const UnitWrapper = ({ titleKey, value, icon, unit, theme_color = '#171719' }: { titleKey: string; value?: number | string | null; icon: string; unit?: string; theme_color?: string; }) => { const { t } = useTranslation(); const renderFeatureIcon = (iconKey: string, color: string) => { @@ -78,7 +78,7 @@ export const UnitWrapper = ({ titleKey, value, icon, unit, theme_color = '#17171 >{renderFeatureIcon(icon, theme_color)}
{t(`package.${titleKey}`)}
-
{value} {unit ? t(`package.${unit}`) : ''}
+ {value ?
{value} {unit ? t(`package.${unit}`) : ''}
:
{t('package.noLimit')}
}
) @@ -252,7 +252,6 @@ const Package: FC = () => { > {billingUnits.map(({ key, unit, icon }) => { const value = pkg?.quotas?.[key as keyof Package['quotas']]; - if (value === undefined || value === null) return null; return ( { /> ) })} - {pkg.tech_support && ( + {pkg.tech_support && pkg[getKeyWithLanguage('tech_support')] && ( { theme_color={pkg.theme_color} /> )} - {pkg.sla_compliance && ( + {pkg.sla_compliance && pkg[getKeyWithLanguage('sla_compliance')] && ( !base.name) if (basesWithoutName.length > 0) { // 调用接口获取完整的知识库信息 - getKnowledgeBaseList().then(res => { + getKnowledgeBaseList(undefined, { kb_ids: basesWithoutName.map(vo => vo.kb_id).join(',') }).then(res => { const fullBases = knowledge_bases.map(base => { if (!base.name) { const fullBase = res.items.find((item: any) => item.id === base.kb_id) diff --git a/web/src/views/Workflow/components/Properties/ToolConfig/index.tsx b/web/src/views/Workflow/components/Properties/ToolConfig/index.tsx index d38265da..6e8bd0c0 100644 --- a/web/src/views/Workflow/components/Properties/ToolConfig/index.tsx +++ b/web/src/views/Workflow/components/Properties/ToolConfig/index.tsx @@ -1,4 +1,4 @@ -import { type FC, useEffect, useState, useMemo } from "react"; +import { type FC, useEffect, useState } from "react"; import { useTranslation } from 'react-i18next' import { Form, Select, Switch, Cascader, type CascaderProps, Tooltip } from 'antd' import type { Suggestion } from '../../Editor/plugin/AutocompletePlugin' @@ -45,15 +45,15 @@ const ToolConfig: FC<{ options: Suggestion[]; }> = ({ getToolDetail(values.tool_id) .then(res => { const detail = res as { tool_type: ToolType; } - + getTools({ tool_type: detail.tool_type }) .then(toolsRes => { const tools = toolsRes as ToolItem[] - + getToolMethods(values.tool_id) .then(methodsRes => { const response = methodsRes as Array<{ method_id: string; name: string; parameters: Parameter[] }> - + setOptionList(prevList => { return prevList.map(item => { if (item.value === detail.tool_type) { @@ -76,7 +76,7 @@ const ToolConfig: FC<{ options: Suggestion[]; }> = ({ return item }) }) - + if (response.length > 1) { const filterTarget = response.find(vo => vo.name === values.tool_parameters?.operation) if (filterTarget) { @@ -98,7 +98,7 @@ const ToolConfig: FC<{ options: Suggestion[]; }> = ({ useEffect(() => { if (values.tools && values.tools.length === 3) { const [toolType, toolId, operation] = values.tools - + // 从 optionList 中查找对应的参数 const typeOption = optionList.find(opt => opt.value === toolType) if (typeOption?.children) { @@ -155,18 +155,18 @@ const ToolConfig: FC<{ options: Suggestion[]; }> = ({ const targetOption = selectedOptions[selectedOptions.length - 1]; const curParameters = [...(targetOption.parameters ?? [])] setParameters([...curParameters]) - const inititalValue: any = { tool_id: selectedOptions[1].value, tool_parameters: {} } + const initialValue: any = { tool_id: selectedOptions[1].value, tool_parameters: { operation: undefined } } if (value[0] === 'mcp' || (value[0] === 'builtin' && selectedOptions[1]?.children && selectedOptions[1].children.length > 1)) { - inititalValue.tool_parameters.operation = value?.[2] + initialValue.tool_parameters.operation = value?.[2] } else if (value[0] === 'custom') { - inititalValue.tool_parameters.operation = selectedOptions?.[2].method_id + initialValue.tool_parameters.operation = selectedOptions?.[2].method_id } curParameters.forEach(vo => { - inititalValue.tool_parameters[vo.name] = vo.default + initialValue.tool_parameters[vo.name] = vo.default }) - form.setFieldsValue(inititalValue) + form.setFieldsValue(initialValue) } // string -> string @@ -214,9 +214,9 @@ const ToolConfig: FC<{ options: Suggestion[]; }> = ({ name="tools" label={t('workflow.config.tool.tool_id')} > - = ({ {parameter.type === 'string' && parameter.enum && parameter.enum.length > 0 ?