Files
DataMate/runtime/datamate-python/app/core/config.py
Jerry Yan 0ed7dcbee7 feat(kg): 实现实体对齐功能(aligner.py)
- 实现三层对齐策略:规则层 + 向量相似度层 + LLM 仲裁层
- 规则层:名称规范化(NFKC、小写、去标点/空格)+ 规则评分
- 向量层:OpenAI Embeddings + cosine 相似度计算
- LLM 层:仅对边界样本调用,严格 JSON schema 校验
- 使用 Union-Find 实现传递合并
- 支持批内对齐(库内对齐待 KG 服务 API 支持)

核心组件:
- EntityAligner 类:align() (async)、align_rules_only() (sync)
- 配置项:kg_alignment_enabled(默认 false)、embedding_model、阈值
- 失败策略:fail-open(对齐失败不中断请求)

集成:
- 已集成到抽取主链路(extract → align → return)
- extract() 调用 async align()
- extract_sync() 调用 sync align_rules_only()

修复:
- P1-1:使用 (name, type) 作为 key,避免同名跨类型误合并
- P1-2:LLM 计数在 finally 块中增加,异常也计数
- P1-3:添加库内对齐说明(待后续实现)

新增 41 个测试用例,全部通过
测试结果:41 tests pass
2026-02-19 18:26:54 +08:00

128 lines
4.7 KiB
Python

from pydantic_settings import BaseSettings
from pydantic import SecretStr, model_validator
from typing import Optional
import logging
import os
_logger = logging.getLogger(__name__)
# 已知的弱默认凭据,生产环境禁止使用
_BLOCKED_DEFAULT_PASSWORDS = {"password", "123456", "admin", "root", "datamate123"}
_BLOCKED_DEFAULT_TOKENS = {"abc123abc123", "EMPTY"}
class Settings(BaseSettings):
"""应用程序配置"""
class Config:
env_file = ".env"
case_sensitive = False
extra = 'ignore'
# Service
app_name: str = "DataMate Python Backend"
app_version: str = "1.0.0"
app_description: str = "Adapter for integrating Data Management System with Label Studio"
host: str = "0.0.0.0"
port: int = 18000
# CORS
# allowed_origins: List[str] = ["*"]
# allowed_methods: List[str] = ["*"]
# allowed_headers: List[str] = ["*"]
# Log
log_level: str = "INFO"
debug: bool = True
log_file_dir: str = "/var/log/datamate/backend-python"
# Database
mysql_host: str = "datamate-database"
mysql_port: int = 3306
mysql_user: str = "root"
mysql_password: str = "password"
mysql_database: str = "datamate"
database_url: str = "" # Will be overridden by build_database_url() if not provided
@model_validator(mode='after')
def build_database_url(self):
"""如果没有提供 database_url,则根据 MySQL 配置构建"""
if not self.database_url:
if self.mysql_password and self.mysql_user:
self.database_url = f"mysql+aiomysql://{self.mysql_user}:{self.mysql_password}@{self.mysql_host}:{self.mysql_port}/{self.mysql_database}"
else:
self.database_url = f"mysql+aiomysql://{self.mysql_host}:{self.mysql_port}/{self.mysql_database}"
return self
# Label Studio
label_studio_base_url: str = "http://label-studio:8000"
label_studio_username: Optional[str] = "admin@demo.com"
label_studio_password: Optional[str] = "demoadmin"
label_studio_user_token: Optional[str] = "abc123abc123" # Legacy Token
label_studio_local_document_root: str = "/label-studio/local" # Label Studio local file storage path
label_studio_file_path_prefix: str = "/data/local-files/?d=" # Label Studio local file serving URL prefix
ls_task_page_size: int = 1000
# DataMate
dm_file_path_prefix: str = "/dataset" # DM存储文件夹前缀
# DataMate Backend (Java) - 用于通过"下载/预览接口"读取文件内容
datamate_backend_base_url: str = "http://datamate-backend:8080/api"
# Knowledge Graph - LLM 三元组抽取配置
kg_llm_api_key: SecretStr = SecretStr("EMPTY")
kg_llm_base_url: Optional[str] = None
kg_llm_model: str = "gpt-4o-mini"
kg_llm_temperature: float = 0.0
kg_llm_timeout_seconds: int = 60
kg_llm_max_retries: int = 2
# Knowledge Graph - 实体对齐配置
kg_alignment_enabled: bool = False
kg_alignment_embedding_model: str = "text-embedding-3-small"
kg_alignment_vector_threshold: float = 0.92
kg_alignment_llm_threshold: float = 0.78
# 标注编辑器(Label Studio Editor)相关
editor_max_text_bytes: int = 0 # <=0 表示不限制,正数为最大字节数
@model_validator(mode='after')
def check_default_credentials(self):
"""生产环境下检测弱默认凭据,拒绝启动。
通过环境变量 DATAMATE_ENV 判断环境:
- dev/test/local: 仅发出警告
- 其他(prod/staging 等): 抛出异常阻止启动
"""
env = os.environ.get("DATAMATE_ENV", "dev").lower()
is_dev = env in ("dev", "test", "local", "development")
issues: list[str] = []
if self.mysql_password in _BLOCKED_DEFAULT_PASSWORDS:
issues.append(f"mysql_password is set to a weak default ('{self.mysql_password}')")
if self.label_studio_password and self.label_studio_password in _BLOCKED_DEFAULT_PASSWORDS:
issues.append("label_studio_password is set to a weak default")
if self.label_studio_user_token and self.label_studio_user_token in _BLOCKED_DEFAULT_TOKENS:
issues.append("label_studio_user_token is set to a weak default")
if issues:
msg = "SECURITY: Weak default credentials detected: " + "; ".join(issues)
if is_dev:
_logger.warning(msg + " (acceptable in dev/test, MUST change for production)")
else:
raise ValueError(
msg + ". Set proper credentials via environment variables "
"before deploying to production."
)
return self
# 全局设置实例
settings = Settings()