修改env,添加port

This commit is contained in:
2026-04-01 18:31:06 +08:00
parent ca36f3813a
commit 6ddedd76d7
3 changed files with 13 additions and 14 deletions
-1
View File
@@ -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))
+6 -12
View File
@@ -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")
# ==========================================