配置的加载行为修改

chatchat-server/chatchat/init_database.py

@@ -2,7 +2,7 @@ import sys
 sys.path.append("chatchat")
 from chatchat.server.knowledge_base.migrate import (create_tables, reset_tables, import_from_db,
                                            folder2db, prune_db_docs, prune_folder_files)
-from chatchat.configs.model_config import DEFAULT_EMBEDDING_MODEL
+from chatchat.configs import DEFAULT_EMBEDDING_MODEL
 from datetime import datetime
 
 

chatchat-server/chatchat/server/agent/container.py

@@ -1,6 +1,8 @@
-from chatchat.configs import logger
+import logging
 from chatchat.server.utils import get_tool_config
 
+logger = logging.getLogger(__name__)
+
 
 class ModelContainer:
     def __init__(self):

chatchat-server/chatchat/server/agent/tools_factory/text2image.py

@@ -10,21 +10,21 @@ from chatchat.server.utils import get_tool_config
 from .tools_registry import regist_tool, BaseToolOutput
 import openai
 
-from chatchat.configs.basic_config import MEDIA_PATH
+from chatchat.configs import MEDIA_PATH
 from chatchat.server.utils import MsgType
 
 
 def get_image_model_config() -> dict:
-    from chatchat.configs.model_config import LLM_MODEL_CONFIG, ONLINE_LLM_MODEL
+    # from chatchat.configs import LLM_MODEL_CONFIG, ONLINE_LLM_MODEL
-
+    # TODO ONLINE_LLM_MODEL的配置被删除，此处业务需要修改
-    model = LLM_MODEL_CONFIG.get("image_model")
+    # model = LLM_MODEL_CONFIG.get("image_model")
-    if model:
+    # if model:
-        name = list(model.keys())[0]
+    #     name = list(model.keys())[0]
-        if config := ONLINE_LLM_MODEL.get(name):
+    #     if config := ONLINE_LLM_MODEL.get(name):
-            config = {**list(model.values())[0], **config}
+    #         config = {**list(model.values())[0], **config}
-            config.setdefault("model_name", name)
+    #         config.setdefault("model_name", name)
-            return config
+    #         return config
-
+    pass
 
 @regist_tool(title="文生图", return_direct=True)
 def text2images(

chatchat-server/chatchat/server/api_server/openai_routes.py

@@ -16,9 +16,13 @@ from openai.types.file_object import FileObject
 from sse_starlette.sse import EventSourceResponse
 
 from .api_schemas import *
-from chatchat.configs import logger, BASE_TEMP_DIR, log_verbose
+from chatchat.configs import BASE_TEMP_DIR, log_verbose
 from chatchat.server.utils import get_model_info, get_config_platforms, get_OpenAIClient
 
+import logging
+
+logger = logging.getLogger()
+
 
 DEFAULT_API_CONCURRENCIES = 5 # 默认单个模型最大并发数
 model_semaphores: Dict[Tuple[str, str], asyncio.Semaphore] = {} # key: (model_name, platform)

chatchat-server/chatchat/server/api_server/server_app.py

@@ -9,7 +9,7 @@ from starlette.responses import RedirectResponse
 import uvicorn
 
 from chatchat.configs import VERSION, MEDIA_PATH, CHATCHAT_ROOT
-from chatchat.configs.server_config import OPEN_CROSS_DOMAIN
+from chatchat.configs import OPEN_CROSS_DOMAIN
 from chatchat.server.api_server.chat_routes import chat_router
 from chatchat.server.api_server.kb_routes import kb_router
 from chatchat.server.api_server.openai_routes import openai_router

chatchat-server/chatchat/server/api_server/tool_routes.py

@@ -4,9 +4,11 @@ from typing import List
 
 from fastapi import APIRouter, Request, Body
 
-from chatchat.configs import logger
 from chatchat.server.utils import BaseResponse, get_tool, get_tool_config
 
+import logging
+
+logger = logging.getLogger()
 
 tool_router = APIRouter(prefix="/tools", tags=["Toolkits"])
 

chatchat-server/chatchat/server/chat/chat.py

@@ -13,7 +13,7 @@ from langchain.chains import LLMChain
 from langchain.prompts.chat import ChatPromptTemplate
 from langchain.prompts import PromptTemplate
 
-from chatchat.configs.model_config import LLM_MODEL_CONFIG
+from chatchat.configs import LLM_MODEL_CONFIG
 from chatchat.server.agent.agent_factory.agents_registry import agents_registry
 from chatchat.server.agent.container import container
 from chatchat.server.api_server.api_schemas import OpenAIChatOutput

chatchat-server/chatchat/server/chat/feedback.py

@@ -1,8 +1,13 @@
 from fastapi import Body
-from chatchat.configs import logger, log_verbose
+from chatchat.configs import log_verbose
 from chatchat.server.utils import BaseResponse
 from chatchat.server.db.repository import feedback_message_to_db
 
+import logging
+
+logger = logging.getLogger()
+
+
 def chat_feedback(message_id: str = Body("", max_length=32, description="聊天记录id"),
             score: int = Body(0, max=100, description="用户评分，满分100，越大表示评价越高"),
             reason: str = Body("", description="用户评分理由，比如不符合事实等")

chatchat-server/chatchat/server/chat/utils.py

@@ -1,9 +1,12 @@
 from functools import lru_cache
 from chatchat.server.pydantic_v2 import BaseModel, Field
 from langchain.prompts.chat import ChatMessagePromptTemplate
-from chatchat.configs import logger, log_verbose
 from typing import List, Tuple, Dict, Union
 
+import logging
+
+logger = logging.getLogger()
+
 
 class History(BaseModel):
     """

chatchat-server/chatchat/server/knowledge_base/kb_service/es_kb_service.py

@@ -7,7 +7,11 @@ from chatchat.server.knowledge_base.kb_service.base import KBService, SupportedV
 from chatchat.server.knowledge_base.utils import KnowledgeFile
 from chatchat.server.utils import get_Embeddings
 from elasticsearch import Elasticsearch, BadRequestError
-from chatchat.configs import logger, kbs_config, KB_ROOT_PATH
+from chatchat.configs import kbs_config, KB_ROOT_PATH
+
+import logging
+
+logger = logging.getLogger()
 
 
 class ESKBService(KBService):

chatchat-server/chatchat/server/knowledge_base/kb_summary/summary_chunk.py

@@ -3,7 +3,6 @@ from typing import List, Optional
 from langchain.schema.language_model import BaseLanguageModel
 
 from chatchat.server.knowledge_base.model.kb_document_model import DocumentWithVSId
-from chatchat.configs import (logger)
 from langchain.chains import StuffDocumentsChain, LLMChain
 from langchain.prompts import PromptTemplate
 
@@ -14,6 +13,10 @@ from langchain.chains.combine_documents.map_reduce import ReduceDocumentsChain,
 import sys
 import asyncio
 
+import logging
+
+logger = logging.getLogger()
+
 
 class SummaryAdapter:
     _OVERLAP_SIZE: int

chatchat-server/chatchat/server/knowledge_base/utils.py

@@ -5,7 +5,6 @@ from chatchat.configs import (
     CHUNK_SIZE,
     OVERLAP_SIZE,
     ZH_TITLE_ENHANCE,
-    logger,
     log_verbose,
     text_splitter_dict,
     TEXT_SPLITTER_NAME,
@@ -22,6 +21,10 @@ from typing import List, Union, Dict, Tuple, Generator
 import chardet
 from langchain_community.document_loaders import JSONLoader, TextLoader
 
+import logging
+
+logger = logging.getLogger()
+
 
 def validate_kb_name(knowledge_base_id: str) -> bool:
     # 检查是否包含预期外的字符或路径攻击关键字

chatchat-server/chatchat/server/minx_chat_openai.py

@@ -1,51 +0,0 @@
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Tuple
-)
-import sys
-import logging
-
-logger = logging.getLogger(__name__)
-
-if TYPE_CHECKING:
-    import tiktoken
-
-
-class MinxChatOpenAI:
-
-    @staticmethod
-    def import_tiktoken() -> Any:
-        try:
-            import tiktoken
-        except ImportError:
-            raise ValueError(
-                "Could not import tiktoken python package. "
-                "This is needed in order to calculate get_token_ids. "
-                "Please install it with `pip install tiktoken`."
-            )
-        return tiktoken
-
-    @staticmethod
-    def get_encoding_model(self) -> Tuple[str, "tiktoken.Encoding"]:
-        tiktoken_ = MinxChatOpenAI.import_tiktoken()
-        if self.tiktoken_model_name is not None:
-            model = self.tiktoken_model_name
-        else:
-            model = self.model_name
-            if model == "gpt-3.5-turbo":
-                # gpt-3.5-turbo may change over time.
-                # Returning num tokens assuming gpt-3.5-turbo-0301.
-                model = "gpt-3.5-turbo-0301"
-            elif model == "gpt-4":
-                # gpt-4 may change over time.
-                # Returning num tokens assuming gpt-4-0314.
-                model = "gpt-4-0314"
-        # Returns the number of tokens used by a list of messages.
-        try:
-            encoding = tiktoken_.encoding_for_model(model)
-        except Exception as e:
-            logger.warning("Warning: model not found. Using cl100k_base encoding.")
-            model = "cl100k_base"
-            encoding = tiktoken_.get_encoding(model)
-        return model, encoding

chatchat-server/chatchat/server/utils.py

@@ -24,13 +24,15 @@ from typing import (
     Tuple,
     Literal,
 )
-import logging
 
-from chatchat.configs import (logger, log_verbose, HTTPX_DEFAULT_TIMEOUT,
+from chatchat.configs import (log_verbose, HTTPX_DEFAULT_TIMEOUT,
                               DEFAULT_LLM_MODEL, DEFAULT_EMBEDDING_MODEL, TEMPERATURE,
                               MODEL_PLATFORMS)
 from chatchat.server.pydantic_v2 import BaseModel, Field
-from chatchat.server.minx_chat_openai import MinxChatOpenAI  # TODO: still used?
+
+import logging
+
+logger = logging.getLogger()
 
 
 async def wrap_done(fn: Awaitable, event: asyncio.Event):
@@ -490,7 +492,7 @@ def MakeFastAPIOffline(
 
 
 def api_address() -> str:
-    from chatchat.configs.server_config import API_SERVER
+    from chatchat.configs import API_SERVER
 
     host = API_SERVER["host"]
     if host == "0.0.0.0":
@@ -500,7 +502,7 @@ def api_address() -> str:
 
 
 def webui_address() -> str:
-    from chatchat.configs.server_config import WEBUI_SERVER
+    from chatchat.configs import WEBUI_SERVER
 
     host = WEBUI_SERVER["host"]
     port = WEBUI_SERVER["port"]

chatchat-server/chatchat/webui_pages/utils.py

@@ -13,7 +13,7 @@ from chatchat.configs import (
     ZH_TITLE_ENHANCE,
     VECTOR_SEARCH_TOP_K,
     HTTPX_DEFAULT_TIMEOUT,
-    logger, log_verbose,
+    log_verbose,
 )
 import httpx
 import contextlib
@@ -22,7 +22,10 @@ import os
 from io import BytesIO
 from chatchat.server.utils import set_httpx_config, api_address, get_httpx_client
 
-from pprint import pprint
+
+import logging
+
+logger = logging.getLogger()
 
 set_httpx_config()