rocky linux9 安装php + nginx
rocky linux9 安装php + nginx
sudo dnf groupinstall -y "Development Tools"
sudo dnf install -y autoconf automake libtool pkgconf bison re2c
sudo dnf config-manager --set-enabled crb
dnf install -y openssl-devel libxml2-devel curl-devel libpng-devel libjpeg-turbo-devel freetype-devel libzip-devel oniguruma-devel sqlite-devel
./configure \
CFLAGS="-fPIE" \
LDFLAGS="-pie" \
--prefix=/usr/local/php84 \
--with-config-file-path=/usr/local/php84/etc \
--enable-fpm \
--with-fpm-user=www \
--with-fpm-group=www \
--with-mysqli=mysqlnd \
--with-pdo-mysql=mysqlnd \
--with-openssl \
--with-zlib \
--with-curl \
--enable-gd \
--with-jpeg \
--with-freetype \
--enable-mbstring \
--enable-bcmath \
--enable-sockets \
--enable-opcache \
--with-zip \
--with-libxml
--with-sqlite3 \
--with-pdo-sqlite
make -j$(nproc)
make install
sudo cp php.ini-production /usr/local/php84/etc/php.ini
sudo cp /usr/local/php84/etc/php-fpm.conf.default /usr/local/php84/etc/php-fpm.conf
sudo cp /usr/local/php84/etc/php-fpm.d/www.conf.default /usr/local/php84/etc/php-fpm.d/www.conf
sudo tee /etc/systemd/system/php84-fpm.service > /dev/null <<'EOF'
[Unit]
Description=The PHP 8.4 FastCGI Process Manager
After=network.target
[Service]
Type=simple
PIDFile=/usr/local/php84/var/run/php-fpm.pid
ExecStart=/usr/local/php84/sbin/php-fpm --nodaemonize --fpm-config /usr/local/php84/etc/php-fpm.conf
ExecReload=/bin/kill -USR2 $MAINPID
PrivateTmp=true
[Install]
WantedBy=multi-user.target
EOF
echo 'export PATH=/usr/local/php84/bin:/usr/local/php84/sbin:$PATH' | sudo tee /etc/profile.d/php84.sh
source /etc/profile.d/php84.sh
useradd -r -s /sbin/nologin -M www
sudo systemctl daemon-reload
sudo systemctl start php84-fpm
sudo systemctl enable php84-fpm
php -v
安装nginx
dnf install nginx
systemctl enable --now nginx
python, pydantic的基本用法
1、基本模型
from pydantic import BaseModel
class User(BaseModel):
id: int
name: str
age: int
email: str
# 自动类型转换
user = User(id="1", name="Alice", age="25", email="alice@example.com")
print(user)
# id=1 name='Alice' age=25 email='alice@example.com'
print(user.id, type(user.id)) # 1 <class 'int'>
2、字段校验与默认值
from pydantic import BaseModel, Field
from typing import Optional
class Product(BaseModel):
name: str = Field(..., min_length=1, max_length=100)
price: float = Field(..., gt=0, description="价格必须大于0")
quantity: int = Field(default=0, ge=0)
description: Optional[str] = None
p = Product(name="苹果", price=5.5)
print(p)
# name='苹果' price=5.5 quantity=0 description=None
# 校验失败会抛出 ValidationError
try:
Product(name="", price=-1)
except Exception as e:
print(e)
3、嵌套模型
from pydantic import BaseModel
from typing import List
class Address(BaseModel):
city: str
street: str
class Person(BaseModel):
name: str
age: int
addresses: List[Address]
data = {
"name": "Bob",
"age": 30,
"addresses": [
{"city": "北京", "street": "长安街"},
{"city": "上海", "street": "南京路"},
]
}
person = Person(**data)
print(person.addresses[0].city) # 北京
print(person.model_dump()) # 转 dict
print(person.model_dump_json()) # 转 JSON 字符串
4、自定义校验器
from pydantic import BaseModel, field_validator, model_validator
class User(BaseModel):
username: str
password: str
confirm_password: str
@field_validator("username")
@classmethod
def username_alphanumeric(cls, v: str) -> str:
if not v.isalnum():
raise ValueError("用户名必须为字母或数字")
return v.lower()
@model_validator(mode="after")
def check_passwords_match(self):
if self.password != self.confirm_password:
raise ValueError("两次密码不一致")
return self
u = User(username="Alice123", password="abc", confirm_password="abc")
print(u.username) # alice123
5、枚举与leteral
from pydantic import BaseModel
from enum import Enum
from typing import Literal
class Status(str, Enum):
active = "active"
inactive = "inactive"
class Account(BaseModel):
status: Status
role: Literal["admin", "user", "guest"]
a = Account(status="active", role="admin")
print(a.status) # Status.active
6、环境变量配置（baseSettings）
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
app_name: str = "MyApp"
debug: bool = False
database_url: str
model_config = {
"env_file": ".env",
"env_prefix": "APP_",
}
# .env 文件内容:
# APP_DATABASE_URL=postgresql://localhost/db
# APP_DEBUG=true
settings = Settings()
print(settings.database_url)
7、序列化与模型转换
from pydantic import BaseModel
class User(BaseModel):
id: int
name: str
password: str
u = User(id=1, name="Alice", password="secret")
# 导出时排除敏感字段
print(u.model_dump(exclude={"password"}))
# {'id': 1, 'name': 'Alice'}
# 从 ORM 对象创建（需开启 from_attributes）
class UserORM:
def __init__(self, id, name, password):
self.id = id
self.name = name
self.password = password
class UserSchema(BaseModel):
id: int
name: str
model_config = {"from_attributes": True}
orm_user = UserORM(1, "Bob", "xxx")
print(UserSchema.model_validate(orm_user))
8、泛型模型
from pydantic import BaseModel
from typing import Generic, TypeVar
T = TypeVar("T")
class Response(BaseModel, Generic[T]):
code: int
message: str
data: T
class UserInfo(BaseModel):
id: int
name: str
resp = Response[UserInfo](
code=200,
message="ok",
data={"id": 1, "name": "Alice"}
)
print(resp.data.name) # Alice
python密码加密、jwt加解密
1、jwt(官方文档)
安装: pip install pyjwt[crypto]
基本使用:
import jwt
key = "secret"
encoded = jwt.encode({"some": "payload"}, key, algorithm="HS256")
jwt.decode(encoded, key, algorithms="HS256")
{'some': 'payload'}
2、密码加密
安装: pip install "pwdlib[argon2]"
基本使用:
from pwdlib import PasswordHash
password = "123456"
password_hash = PasswordHash.recommended()
hash = password_hash.hash(password)
isPass = password_hash.verify(password, hash) # True
文章分析提示语
根据以下文章进行解析,先进行分句,再逐句分析句型结构、常用短语、翻译、以及疑难单词。
###
{文章内容}
###
# 解析要求
- 显示每一句的原文和对应的中文翻译
- 显示每一句的句型结构，以及详细说明，如果是定语，需要说明修饰哪个先行词。
- 显示每一句的日常交流中频繁使用的固定表达, 显示对应含义
- 显示每一句的疑难单词,显示对应美式音标、单词解析、对应文中的释义
# 输出
- 不需要返回原文全文
- 解析内容按markdown文件格式返回，以```markdown开头,```结尾
