diff --git a/backend/app/main.py b/backend/app/main.py
index 8b9a22f..cfe0435 100644
--- a/backend/app/main.py
+++ b/backend/app/main.py
@@ -28,7 +28,6 @@ from app.initialize import init
 # 路由总线
 from app.api.router import api_router
 
-load_dotenv()
 CRAWL_INTERVAL = int(os.getenv("CRAWL_INTERVAL_MINUTES", 10))
 SUMMARY_INTERVAL = int(os.getenv("SUMMARY_INTERVAL_MINUTES", 30))
 
diff --git a/backend/app/models/models.py b/backend/app/models/models.py
index 667be79..f6bb7fb 100644
--- a/backend/app/models/models.py
+++ b/backend/app/models/models.py
@@ -180,8 +180,7 @@ class NewsArticle(Base):
 
     id: Mapped[int] = mapped_column(BigIntType, primary_key=True, autoincrement=True)
     source_id: Mapped[int] = mapped_column(ForeignKey("info_sources.id"), comment="所属信息源ID")
-    unified_event_id: Mapped[Optional[int]] = mapped_column(ForeignKey("unified_events.id"),
-                                                            comment="深度文章也可归入大事件分析")
+    unified_event_id: Mapped[Optional[int]] = mapped_column(ForeignKey("unified_events.id"), comment="深度文章也可归入大事件分析")
 
     external_id: Mapped[str] = mapped_column(String(32), comment="RSS原文<guid>生成的MD5防重指纹")
     title_embedding: Mapped[Optional[str]] = mapped_column(Text, comment="新闻标题/摘要的语义向量")
@@ -218,8 +217,7 @@ class HeadlineRevision(Base):
     previous_headline: Mapped[str] = mapped_column(String(255), comment="修改前的旧标题")
     revised_headline: Mapped[str] = mapped_column(String(255), comment="修改后的新标题")
 
-    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow,
-                                                 comment="系统发现被修改的时间")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, comment="系统发现被修改的时间")
 
 
 class RankingLog(Base):
@@ -239,8 +237,7 @@ class RankingLog(Base):
     # 当时它在第几名
     ranking_position: Mapped[int] = mapped_column(Integer, comment="当时抓取时的排名名次")
     # 爬虫看到它的那一瞬间的时间
-    observed_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow,
-                                                  comment="观察到该名次的准确时间")
+    observed_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, comment="观察到该名次的准确时间")
 
     created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow)
 
@@ -311,13 +308,11 @@ class AppUser(Base):
 
     nickname: Mapped[Optional[str]] = mapped_column(String(100), comment="用户展示昵称")
     avatar_url: Mapped[Optional[str]] = mapped_column(String(500), comment="用户头像地址")
-    gender: Mapped[GenderType] = mapped_column(Enum(GenderType), default=GenderType.UNKNOWN,
-                                               comment="用户性别(用于AI调整行文语气)")
+    gender: Mapped[GenderType] = mapped_column(Enum(GenderType), default=GenderType.UNKNOWN, comment="用户性别(用于AI调整行文语气)")
 
     # 极其强大：一个万能收纳箱！前端未来想加任何诸如“夜间模式”、“字体变大”的开关，
     # 全部丢进这个 JSON 字段即可，从此免去手动修改后端表结构的麻烦。
-    metadata_: Mapped[Optional[Any]] = mapped_column("metadata", JSON,
-                                                     comment="JSON扩展字段: 存放灵活多变的前端用户偏好设置")
+    metadata_: Mapped[Optional[Any]] = mapped_column("metadata", JSON, comment="JSON扩展字段: 存放灵活多变的前端用户偏好设置")
 
     # 时区对于定时推送系统极其重要！保证纽约的用户和北京的用户都能在早晨8点收到新闻。
     timezone: Mapped[str] = mapped_column(String(50), default="Asia/Shanghai", comment="用户所在地时区")
@@ -405,8 +400,7 @@ class DeliveryHistory(Base):
     # 记录这次推送是彻底成功了，还是由于渠道网络问题失败了
     status: Mapped[TaskStatus] = mapped_column(Enum(TaskStatus), comment="最终推送结果状态")
 
-    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow,
-                                                 comment="记录或实际推送的准确时间")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utcnow, comment="记录或实际推送的准确时间")
 
 
 # ==========================================
diff --git a/backend/main.py b/backend/main.py
index 868c2d2..9b3a42f 100644
--- a/backend/main.py
+++ b/backend/main.py
@@ -1,12 +1,18 @@
 # run.py
 import uvicorn
+import os
+from dotenv import load_dotenv
 
 if __name__ == "__main__":
+    
+    load_dotenv()
+    PORT = int(os.getenv("PORT", 8000))
+    
     # 启动服务
     uvicorn.run(
         app="app.main:app",
         host="0.0.0.0",
-        port=8000,
+        port=PORT,
         # reload=True,
         workers=1
     )