Files
cma-management/backend/app/api/knowledge_articles.py
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78 lines
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Python

"""知识库文章 API — P1-3 嵌入功能模块用
提供按关联页面查询知识文章的功能。
"""
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from sqlalchemy import or_
from typing import Optional
from app.database import get_db
from app.auth_middleware import require_role
from app.deps import get_entity_id
from app.models.knowledge_article import KnowledgeArticle
router = APIRouter(prefix="/api/cma/knowledge-articles", tags=["知识库嵌入"],
dependencies=[Depends(require_role("ceo", "finance", "business", "it"))],
)
def article_to_dict(a: KnowledgeArticle) -> dict:
return {
"id": a.id,
"entity_id": a.entity_id,
"title": a.title,
"summary": a.summary,
"content": a.content,
"category": a.category,
"icon": a.icon,
"related_page": a.related_page,
"sort_order": a.sort_order,
}
@router.get("")
def list_articles(
related_page: Optional[str] = Query(None, description="按关联页面路由筛选"),
category: Optional[str] = Query(None),
db: Session = Depends(get_db),
entity_id: int = Depends(get_entity_id),
):
"""查询知识文章(本企业专属 ∪ 系统共享),可按关联页面或分类筛选
隔离语义(2026-09-03 多租户分区):
- entity_id = 0 → 系统共享(CMA 教学知识,所有企业可见)
- entity_id == 当前账套 → 企业专属(只本企业可见)
- 其他企业的专属文章不可见
"""
q = db.query(KnowledgeArticle).filter(
or_(
KnowledgeArticle.entity_id == entity_id,
KnowledgeArticle.entity_id == 0,
)
)
if related_page:
q = q.filter(KnowledgeArticle.related_page.contains(related_page))
if category:
q = q.filter(KnowledgeArticle.category == category)
articles = q.order_by(KnowledgeArticle.sort_order.asc(), KnowledgeArticle.id.asc()).all()
return {"data": [article_to_dict(a) for a in articles]}
@router.get("/{article_id}")
def get_article(
article_id: int,
db: Session = Depends(get_db),
entity_id: int = Depends(get_entity_id),
):
"""获取文章详情(企业专属文章仅本企业可见,防跨企业探测)"""
a = (
db.query(KnowledgeArticle)
.filter(KnowledgeArticle.id == article_id)
.first()
)
if not a:
raise HTTPException(404, "文章不存在")
if a.entity_id != 0 and a.entity_id != entity_id:
raise HTTPException(404, "文章不存在")
return article_to_dict(a)