django查询今天,昨天,一周,分组统计月,年
一、概述
有一个用户表,models.py内容如下:
from django.db import models # Create your models here. class User(models.Model): #用户名表 username = models.CharField(max_length=16,verbose_name="用户名") password = models.CharField(max_length=32,verbose_name="密码") create_time = models.DateTimeField(auto_now_add=True,verbose_name="创建时间") last_time = models.DateTimeField(verbose_name="登录时间") class Meta: # 多列唯一索引 unique_together = ('username','create_time')
本文用的是sqlite3数据库,插入初始数据,insert语句如下:
INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (1, 'xiao1', 1234, '2020-01-01 13:14:52', '2020-01-01 13:14:52', 1); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (2, 'xiao2', 1234, '2020-02-02 13:14:52', '2020-02-02 13:14:52', 2); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (3, 'xiao3', 1234, '2020-03-03 13:14:52', '2020-03-03 13:14:52', 3); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (4, 'xiao4', 1234, '2020-04-04 13:14:52', '2020-04-04 13:14:52', 4); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (5, 'xiao5', 1234, '2020-05-05 13:14:52', '2020-05-05 13:14:52', 5); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (6, 'xiao6', 1234, '2020-06-06 13:14:52', '2020-06-06 13:14:52', 6); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (7, 'xiao7', 1234, '2020-07-07 13:14:52', '2020-07-07 13:14:52', 7); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (8, 'xiao8', 1234, '2020-07-23 13:14:52', '2020-07-22 13:14:52', 8); INSERT INTO "main"."application_user" ("id", "username", "password", "create_time", "last_time", "ROWID") VALUES (9, 'xiao9', 1234, '2020-07-24 13:14:52', '2020-07-22 13:14:52', 9);
需求如下:
1. 查询今天,昨天,一周的用户数。
2. 最近一个月,分组统计每一天的数量
3. 最近1年,分组统计每一个月的数量
二、项目演示
新建一个项目,名字为:test_rom,应用名称为:application
django版本为:3.0.8
settings.py
修改时区,内容如下:
TIME_ZONE = 'Asia/Shanghai' USE_I18N = True USE_L10N = True USE_TZ = False
urls.py
from django.contrib import admin from django.urls import path from application import views urlpatterns = [ path('admin/', admin.site.urls), path('index/', views.index), path('month/', views.month), path('year/', views.year), ]
views.py

from django.shortcuts import render import datetime from application import models from django.http import JsonResponse import time from dateutil.relativedelta import relativedelta from django.db.models.functions import TruncMonth,TruncYear,ExtractYear,ExtractMonth from django.db.models import Count from django.db import connection # Create your views here. def index(request): # 今日############### today = datetime.datetime.now().date() ret = models.User.objects.filter(create_time__gte=str(today) + ' 00:00:00') today_len = len(ret) # 昨天############### yesterday = (datetime.datetime.now() + datetime.timedelta(days=-1)).date() ret = models.User.objects.filter(create_time__gte=str(yesterday) + ' 00:00:00', create_time__lte=str(today) + ' 23:59:59') yesterday_len = len(ret) # 一周前 today = datetime.datetime.now().date() weekdelta = datetime.datetime.now().date() - datetime.timedelta(weeks=1) ret = models.User.objects.filter(create_time__gte=str(weekdelta) + ' 00:00:00', create_time__lte=str(today) + ' 23:59:59') week_len = len(ret) # 总数量 ret = models.User.objects.all() total_len = len(ret) data = { "today": today_len, "yesterday": yesterday_len, "week": week_len, "total": total_len } return JsonResponse(data) def month(request): now = datetime.datetime.now() a_month = now - datetime.timedelta(days=50) select = {'day': 'date(create_time)'} count_data = models.User.objects. \ filter(create_time__range=(a_month, now)). \ extra(select=select).values('day').distinct().order_by("day").annotate(number=Count('create_time')) x_list = [] y_list = [] for i in count_data: x_list.append(i['day']) y_list.append(i['number']) data = {"x": x_list, "y": y_list} return JsonResponse(data) def year(request): # 计算时间 time_ago = datetime.datetime.now() - relativedelta(years=1) # print("time_ago",time_ago) # 获取近一年数据 one_year_data = models.User.objects.filter(create_time__gte=time_ago) # 分组统计每个月的数据 count_res = one_year_data \ .annotate(year=ExtractYear('create_time'), month=ExtractMonth('create_time')) \ .values('year', 'month').order_by('year', 'month').annotate(count=Count('id')) # 封装数据格式 month_list = [] count_list = [] for i in count_res: month_list.append("%s-%s" % (i['year'], i['month'])) count_list.append(i["count"]) data = {"month": month_list, "count": count_list} return JsonResponse(data)
启动并访问
使用Pycharm直接启动即可,访问首页:
http://127.0.0.1:8001/index/
效果如下:
访问最近一个月分组数据
http://127.0.0.1:8001/month/
效果如下:
访问最近一年的分组数据
http://127.0.0.1:8001/year/
效果如下:
分类:
python 运维开发
标签:
运维开发
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY
· 【自荐】一款简洁、开源的在线白板工具 Drawnix