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panda 8 months ago
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  1. 44
      routers/statistic.py

44
routers/statistic.py

@ -1,20 +1,58 @@
from fastapi import Depends, APIRouter, status, Query, Path, HTTPException
from internal.models import *
from internal.database import fetch_one, fetch_all, execute_query, response_success, raise_if_exists,raise_if_not_found
from internal.database import fetch_one, fetch_all, execute_query, response_success, raise_if_exists, raise_if_not_found
from dependencies import get_current_active_user
from collections import defaultdict
router = APIRouter(
prefix="/statistics",
tags=['统计']
)
# 统计编辑量
@router.get("/list")
async def statistic_list():
select_query = """SELECT DATE(create_at) AS date,COUNT(*) AS writCount FROM
select_query = """SELECT DATE(create_at) AS date,COUNT(*) AS writCount FROM
(SELECT create_at FROM diarys
UNION ALL
SELECT create_at FROM blogs) AS combined
GROUP BY DATE
ORDER BY DATE DESC;"""
statistic_list = fetch_all(select_query)
return response_success(statistic_list, "statistic get list success")
return response_success(statistic_list, "statistic get list success")
# 记录所有blog和diary数据
@router.get("/comments")
async def get_homepage_data():
select_blog = """
select id,blogtitle,blogcontent,imglink,create_at,update_at from blogs ORDER BY create_at DESC;
"""
blog_list = fetch_all(select_blog)
# 获取日记数据
select_diary = """
select id,diarytitle,diarycontent,imglink,create_at,update_at from diarys ORDER BY create_at DESC;
"""
diary_list = fetch_all(select_diary)
# 按日期分组数据
grouped_data = defaultdict(lambda: {'blogs': [], 'diaries': []})
for blog in blog_list:
date_key = blog['create_at'].date()
grouped_data[date_key]['blogs'].append(blog)
for diary in diary_list:
date_key = diary['create_at'].date()
grouped_data[date_key]['diaries'].append(diary)
# 将分组后的数据转换为列表并按日期排序
result = [
{'date': date, 'blogs': data['blogs'], 'diaries': data['diaries']}
for date, data in sorted(grouped_data.items(), key=lambda x: x[0], reverse=True)
]
return {"data": result}
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