feat:增加查询博客相邻记录功能

config/database.py

@@ -4,7 +4,7 @@ from sqlalchemy.orm import sessionmaker
 
 from config.setting import settings
 
-DATABASE_URL = f"mysql+pymysql://{settings.DB_USER}:{settings.DB_PASSWORD}@{settings.DB_HOST}:{settings.DB_PORT}/{settings.DB_NAME}"
+DATABASE_URL = f"mysql+pymysql://root:{settings.DB_PASSWORD}@{settings.DB_HOST}:3306/blog"
 
 engine = create_engine(url=DATABASE_URL, pool_pre_ping=True, pool_recycle=3600)
 

config/elastic.py

@@ -1,15 +1,16 @@
 from elasticsearch import Elasticsearch
 
+from config.setting import settings
 from schemas.blog_elastic import BLOG_MAPPING
 from config.logging import logger
 
-ES_HOSTS = "http://host.docker.internal:9200"
+ES_HOST = f"http://{settings.ES_HOST}:9200"
 ES_USER = "elastic"
 ES_PASSWORD = "19940822Cxx"
 BLOG_INDEX = "blog"
 
 # 注意Python的elasticsearch的版本要和服务器的一致
-es = Elasticsearch(ES_HOSTS, http_auth=(ES_USER, ES_PASSWORD))
+es = Elasticsearch(ES_HOST, http_auth=(ES_USER, ES_PASSWORD))
 
 if not es.indices.exists(index=BLOG_INDEX):
     es.indices.create(index=BLOG_INDEX, body=BLOG_MAPPING)

config/logging.py

@@ -82,7 +82,7 @@ logger.add(
 
 logger.add(
     log_to_fluent,
-    level="INFO",  # 处理 INFO 及以上级别
+    level=LOG_LEVEL,  # 处理 INFO 及以上级别
     format="{message}",  # 原始消息（实际使用结构化数据）
     backtrace=True,  # 启用堆栈回溯
     diagnose=True  # 显示诊断信息

config/setting.py

@@ -2,13 +2,11 @@ from pydantic_settings import BaseSettings
 
 
 class Settings(BaseSettings):
-    DB_HOST: str
-    DB_PORT: int
-    DB_USER: str
-    DB_PASSWORD: str
-    DB_NAME: str
-
+    ENVIRONMENT: str
     LOG_LEVEL: str
+    DB_HOST: str
+    DB_PASSWORD: str
+    ES_HOST: str
 
     class Config:
         env_file = ".env"  # 指定.env文件路径