Files
news/report_db/models.py
T
simon 366e60e8a9 feat: 日报结构化入库(M10 前后端分离数据层)
- 新增 report_db 包: MySQL 连接/建表/幂等写入 (news_report/news_event, myquant 库)
- 新增 report_import 包: 历史 178 份日报 HTML 解析入库, 表头驱动列映射
- reporter.py 完全切换: generate_report 结构化入库, 不再生成/上传 HTML
- CLI: 新增 report-import 子命令
- 依赖: uv add pymysql; 配置: NEWS_DB_* / REPORT_HISTORY_DIR
- 文档: docs/report_db_design.md(实现逻辑), docs/db_schema.md(表结构供 API/前端)
- 测试: 24 个单测通过 (parser/builder/models/importer)
2026-08-03 21:32:07 +08:00

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Python

"""日报结构化入库:数据模型。"""
from __future__ import annotations
from datetime import date, datetime
from typing import Any
from pydantic import BaseModel, Field
class EventRow(BaseModel):
"""一条事件记录,对应 news_event 一行。"""
section: str # xwlb | news | cninfo | intl
rank: int # 板块内序号(从 1 开始)
importance: int | None = None
event_type: str | None = None
title: str
summary: str | None = None
sentiment: str | None = None # positive | negative | neutral | ''
source: str | None = None
url: str | None = None
class ReportData(BaseModel):
"""一份完整日报:news_report 一行 + news_event 多行。"""
report_date: date
report_type: str # finance | intl
file_name: str = "" # 源文件名(新生成日报可为空)
generated_at: datetime
ai_summary: str | None = None
stats: dict[str, Any] = Field(default_factory=dict)
events: list[EventRow] = Field(default_factory=list)