Merge branch 'release/v0.2.3' into develop

# Conflicts:
#	api/app/core/agent/langchain_agent.py
#	api/app/core/memory/agent/langgraph_graph/write_graph.py
#	api/app/repositories/neo4j/graph_saver.py
#	api/app/services/draft_run_service.py
This commit is contained in:
Mark
2026-02-06 14:48:50 +08:00
45 changed files with 973 additions and 850 deletions

View File

@@ -196,6 +196,11 @@ def update_config(
api_logger.warning(f"用户 {current_user.username} 尝试更新配置但未选择工作空间")
return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
# 校验至少有一个字段需要更新
if payload.config_name is None and payload.config_desc is None and payload.scene_id is None:
api_logger.warning(f"用户 {current_user.username} 尝试更新配置但未提供任何更新字段")
return fail(BizCode.INVALID_PARAMETER, "请至少提供一个需要更新的字段", "config_name, config_desc, scene_id 均为空")
api_logger.info(f"用户 {current_user.username} 在工作空间 {workspace_id} 请求更新配置: {payload.config_id}")
try:
svc = DataConfigService(db)

View File

@@ -52,6 +52,7 @@ from app.services.ontology_service import OntologyService
from app.core.memory.llm_tools.openai_client import OpenAIClient
from app.core.memory.utils.validation.owl_validator import OWLValidator
from app.services.model_service import ModelConfigService
from app.repositories.ontology_scene_repository import OntologySceneRepository
api_logger = get_api_logger()
@@ -116,27 +117,35 @@ def _get_ontology_service(
detail=f"找不到指定的LLM模型: {llm_id}"
)
# 验证模型配置了API密钥
if not model_config.api_keys:
logger.error(f"Model {llm_id} has no API key configuration")
# 通过 Repository 获取可用的 API Key负载均衡逻辑由 Repository 处理)
from app.repositories.model_repository import ModelApiKeyRepository
api_keys = ModelApiKeyRepository.get_by_model_config(db, model_config.id)
if not api_keys:
logger.error(f"Model {llm_id} has no active API key")
raise HTTPException(
status_code=400,
detail="指定的LLM模型没有配置API密钥"
detail="指定的LLM模型没有可用的API密钥"
)
api_key_config = api_keys[0]
api_key_config = model_config.api_keys[0]
is_composite = getattr(model_config, 'is_composite', False)
logger.info(
f"Using specified model - user: {current_user.id}, "
f"model_id: {llm_id}, model_name: {api_key_config.model_name}"
f"model_id: {llm_id}, model_name: {api_key_config.model_name}, "
f"is_composite: {is_composite}, api_key_id: {api_key_config.id}"
)
# 创建模型配置对象
from app.core.models.base import RedBearModelConfig
# 对于组合模型,使用 API Key 的 provider否则使用 model_config 的 provider
actual_provider = api_key_config.provider if is_composite else (
getattr(model_config, 'provider', None) or "openai"
)
llm_model_config = RedBearModelConfig(
model_name=api_key_config.model_name,
provider=model_config.provider if hasattr(model_config, 'provider') else "openai",
provider=actual_provider,
api_key=api_key_config.api_key,
base_url=api_key_config.api_base,
max_retries=3,
@@ -648,6 +657,46 @@ async def delete_scene(
return fail(BizCode.INTERNAL_ERROR, "场景删除失败", str(e))
@router.get("/scenes/simple", response_model=ApiResponse)
async def get_scenes_simple(
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user)
):
"""获取场景简单列表(轻量级,用于下拉选择)
仅返回 scene_id 和 scene_name不加载关联数据响应速度快。
适用于前端下拉选择场景的场景。
Args:
db: 数据库会话
current_user: 当前用户
Returns:
ApiResponse: 包含场景简单列表
Examples:
GET /scenes/simple
返回: {"data": [{"scene_id": "xxx", "scene_name": "场景1"}, ...]}
"""
api_logger.info(f"Simple scene list requested by user {current_user.id}")
try:
workspace_id = current_user.current_workspace_id
if not workspace_id:
api_logger.warning(f"User {current_user.id} has no current workspace")
return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
repo = OntologySceneRepository(db)
scenes = repo.get_simple_list(workspace_id)
api_logger.info(f"Simple scene list retrieved: {len(scenes)} scenes")
return success(data=scenes, msg="查询成功")
except Exception as e:
api_logger.error(f"Failed to get simple scene list: {str(e)}", exc_info=True)
return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
@router.get("/scenes", response_model=ApiResponse)
async def get_scenes(
workspace_id: Optional[str] = None,