这是一个基于python Django 搭建的小型项目
命令
建立虚拟环境，名为ll_env
E:\IDEAworkspace>cd learning_log
E:\IDEAworkspace\learning_log>python -m venv ll_env
激活启动环境
E:\IDEAworkspace\learning_log>ll_env\Scripts\activate
(ll_env) E:\IDEAworkspace\learning_log>pip install Django
(ll_env) E:\IDEAworkspace\learning_log>dir
(ll_env) E:\IDEAworkspace\learning_log>django-admin.py startproject learning_log .
注意最后的点，让项目有合适的目录结构
创建数据库db.sqlite3.sqlLite 是一种使用单个文件的数据库
(ll_env) E:\IDEAworkspace\learning_log>python manage.py migrate
在http://127.0.0.1:8000/端口查看是否启动成功
(ll_env) E:\IDEAworkspace\learning_log>python manage.py runserver （8000）
另开一个terimal 。输上述命令让Django 创建应用所需的基础设施
(ll_env) E:\IDEAworkspace\learning_log>python manage.py startapp learning_logs
让Django修改数据库，时期可以存储新定义的模型Topic
(ll_env) E:\IDEAworkspace\learning_log>python manage.py makemigrations learning_logs
让Django迁移项目
(ll_env) E:\IDEAworkspace\learning_log>python manage.py migrate
创建超级用户，通过http://127.0.0.1:8000/admin/ 用户名/秘密：ll_admin/ll_admin
(ll_env) E:\IDEAworkspace\learning_log>python manage.py createsuperuser
-
每次在model.py 中创建新的模型，都需要重新迁移数据库
-
(ll_env) E:\IDEAworkspace\learning_log>python manage.py makemigrations learning_logs
- (ll_env) E:\IDEAworkspace\learning_log>python manage.py migrate
- admin.py中注册一下，即可在管理员页面看到
交互式终端会话
(ll_env) E:\IDEAworkspace\learning_log>python manage.py shell
>>> from learning_logs.models import Topic
>>> Topic.objects.all()
<QuerySet [<Topic: Chess>, <Topic: Rock Climbing>]>
>>> topics=Topic.onjects.all()
Traceback (most recent call last):
File "<console>", line 1, in <module>
AttributeError: type object 'Topic' has no attribute 'onjects'
>>> topics=Topic.objects.all()
>>> for topic in topics:
... print(topic.id,topic)
...
1 Chess
2 Rock Climbing
>>> t=Topic.objects.get(id=1)
>>> t.text
'Chess'
>>> t.date_added
datetime.datetime(2017, 12, 6, 2, 22, 41, 617396, tzinfo=<UTC>)
>>> t.entry_set.all()
<QuerySet [<Entry: 象棋，亦作“象碁”、中国象棋（英文名Chinese chess），中国传统棋类益智游戏，在中国有着悠...>, <Entry: 棋盘
棋子活动的场所，叫作“棋盘”。在长方形的平面上，绘有九条平行的竖线和十条平行的横线相交组成，...>]>
通过外键关系获取时，可使用相关模型小写名称、下划线、单词set组合
部署
(ll_env) E:\IDEAworkspace\learning_log>pip install dj-database-url
(ll_env) E:\IDEAworkspace\learning_log>pip install dj-static
(ll_env) E:\IDEAworkspace\learning_log>pip install static3
(ll_env) E:\IDEAworkspace\learning_log>pip install gunicorn
(ll_env) E:\IDEAworkspace\learning_log>pip freeze > requirements.txt
命令freeze 将项目中当前安装的所有包名都写入到文件 requirements.txt中。
步骤
curl -L https://packages.gitlab.com/install/repositories/runner/gitlab-runner/script.rpm.sh | sudo bash <可去掉sudo>
sudo yum install gitlab-runner
yum list gitlab-runner --showduplicates | sort -r
sudo yum install gitlab-runner-10.0.0-1
sudo gitlab-runner register
安装项目中所需库
执行运行项目（）的命令：nohup python3 /opt/learning_log/manage.py runserver &>/dev/null &
