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- #
- # 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.
- #
- import os
-
- from enum import IntEnum, Enum
-
- from api.utils import get_base_config,decrypt_database_config
- from api.utils.file_utils import get_project_base_directory
- from api.utils.log_utils import LoggerFactory, getLogger
-
-
- # Server
- API_VERSION = "v1"
- RAG_FLOW_SERVICE_NAME = "ragflow"
- SERVER_MODULE = "rag_flow_server.py"
- TEMP_DIRECTORY = os.path.join(get_project_base_directory(), "temp")
- RAG_FLOW_CONF_PATH = os.path.join(get_project_base_directory(), "conf")
-
- SUBPROCESS_STD_LOG_NAME = "std.log"
-
- ERROR_REPORT = True
- ERROR_REPORT_WITH_PATH = False
-
- MAX_TIMESTAMP_INTERVAL = 60
- SESSION_VALID_PERIOD = 7 * 24 * 60 * 60 * 1000
-
- REQUEST_TRY_TIMES = 3
- REQUEST_WAIT_SEC = 2
- REQUEST_MAX_WAIT_SEC = 300
-
- USE_REGISTRY = get_base_config("use_registry")
-
- LLM = get_base_config("llm", {})
- CHAT_MDL = LLM.get("chat_model", "gpt-3.5-turbo")
- EMBEDDING_MDL = LLM.get("embedding_model", "text-embedding-ada-002")
- ASR_MDL = LLM.get("asr_model", "whisper-1")
- PARSERS = LLM.get("parsers", "general:General,qa:Q&A,resume:Resume,naive:Naive,table:Table,laws:Laws,manual:Manual,book:Book,paper:Paper,presentation:Presentation,picture:Picture")
- IMAGE2TEXT_MDL = LLM.get("image2text_model", "gpt-4-vision-preview")
-
- # distribution
- DEPENDENT_DISTRIBUTION = get_base_config("dependent_distribution", False)
- RAG_FLOW_UPDATE_CHECK = False
-
- HOST = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("host", "127.0.0.1")
- HTTP_PORT = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("http_port")
-
- SECRET_KEY = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("secret_key", "infiniflow")
- TOKEN_EXPIRE_IN = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("token_expires_in", 3600)
-
- NGINX_HOST = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("nginx", {}).get("host") or HOST
- NGINX_HTTP_PORT = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("nginx", {}).get("http_port") or HTTP_PORT
-
- RANDOM_INSTANCE_ID = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("random_instance_id", False)
-
- PROXY = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("proxy")
- PROXY_PROTOCOL = get_base_config(RAG_FLOW_SERVICE_NAME, {}).get("protocol")
-
- DATABASE = decrypt_database_config()
-
- # Logger
- LoggerFactory.set_directory(os.path.join(get_project_base_directory(), "logs", "api"))
- # {CRITICAL: 50, FATAL:50, ERROR:40, WARNING:30, WARN:30, INFO:20, DEBUG:10, NOTSET:0}
- LoggerFactory.LEVEL = 10
-
- stat_logger = getLogger("stat")
- access_logger = getLogger("access")
- database_logger = getLogger("database")
-
- # Switch
- # upload
- UPLOAD_DATA_FROM_CLIENT = True
-
- # authentication
- AUTHENTICATION_CONF = get_base_config("authentication", {})
-
- # client
- CLIENT_AUTHENTICATION = AUTHENTICATION_CONF.get("client", {}).get("switch", False)
- HTTP_APP_KEY = AUTHENTICATION_CONF.get("client", {}).get("http_app_key")
- GITHUB_OAUTH = get_base_config("oauth", {}).get("github")
- WECHAT_OAUTH = get_base_config("oauth", {}).get("wechat")
-
- # site
- SITE_AUTHENTICATION = AUTHENTICATION_CONF.get("site", {}).get("switch", False)
-
- # permission
- PERMISSION_CONF = get_base_config("permission", {})
- PERMISSION_SWITCH = PERMISSION_CONF.get("switch")
- COMPONENT_PERMISSION = PERMISSION_CONF.get("component")
- DATASET_PERMISSION = PERMISSION_CONF.get("dataset")
-
- HOOK_MODULE = get_base_config("hook_module")
- HOOK_SERVER_NAME = get_base_config("hook_server_name")
-
- ENABLE_MODEL_STORE = get_base_config('enable_model_store', False)
- # authentication
- USE_AUTHENTICATION = False
- USE_DATA_AUTHENTICATION = False
- AUTOMATIC_AUTHORIZATION_OUTPUT_DATA = True
- USE_DEFAULT_TIMEOUT = False
- AUTHENTICATION_DEFAULT_TIMEOUT = 30 * 24 * 60 * 60 # s
- PRIVILEGE_COMMAND_WHITELIST = []
- CHECK_NODES_IDENTITY = False
-
- class CustomEnum(Enum):
- @classmethod
- def valid(cls, value):
- try:
- cls(value)
- return True
- except:
- return False
-
- @classmethod
- def values(cls):
- return [member.value for member in cls.__members__.values()]
-
- @classmethod
- def names(cls):
- return [member.name for member in cls.__members__.values()]
-
-
- class PythonDependenceName(CustomEnum):
- Rag_Source_Code = "python"
- Python_Env = "miniconda"
-
-
- class ModelStorage(CustomEnum):
- REDIS = "redis"
- MYSQL = "mysql"
-
-
- class RetCode(IntEnum, CustomEnum):
- SUCCESS = 0
- NOT_EFFECTIVE = 10
- EXCEPTION_ERROR = 100
- ARGUMENT_ERROR = 101
- DATA_ERROR = 102
- OPERATING_ERROR = 103
- CONNECTION_ERROR = 105
- RUNNING = 106
- PERMISSION_ERROR = 108
- AUTHENTICATION_ERROR = 109
- SERVER_ERROR = 500
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