python docker快速入门3制作image

hello.py

#!/usr/bin/python

import sys

print("hello there!")
print(sys.version)

Dockerfile

#!/usr/bin/python

FROM python:3.8
COPY hello.py /tmp/
CMD ["python", "/tmp/hello.py"]

# docker build -t hello .
# docker run hello

命令行执行

docker run -it python:slim bash
python -c "import os; print(os.system('ls -l'))"
python -c "import sys; print(sys.version)"

• GET

get_req.py

#!/usr/bin/python

import requests as req

resp = req.get("http://webcode.me")

print(resp.text)

Dockerfile

FROM python:slim
RUN pip install requests
COPY get_req.py /tmp/
CMD ["python", "/tmp/get_req.py"]

# docker build -t pygetreq .
# docker run pygetreq

flask

app.py

#!/usr/bin/python

from flask import Flask

app = Flask(__name__)

@app.route('/')
def hello():
    return 'Hello there!'

Dockerfile

FROM python:slim

COPY app.py /app/
WORKDIR /app
RUN pip install flask
RUN export FLASK_APP=app.py

EXPOSE 5000
CMD ["/usr/local/bin/flask", "run", "--host", "0.0.0.0"]

# docker build -t flasksimple .
# docker run -p 5000:5000 flasksimple

参考资料

• 本讲座目录
• 代码地址 https://github.com/china-testing/python-testing-examples/tree/master/pytest_projects 建议拷贝到浏览器访问
• 本文涉及的python测试开发库 谢谢点赞！
• 本文相关海量书籍下载

MariaDB

app.py

#!/usr/bin/python

import pymysql

con = pymysql.connect(host='localhost', user='user7',
            password='7user', database='testdb', port=3306)

try:
    with con.cursor() as cur:

        cur.execute('SELECT * FROM cities')

        rows = cur.fetchall()

        for row in rows:
            print(f'{row[0]}, {row[1]}, {row[2]}')

finally:

    con.close()

Dockerfile

FROM mariadb

RUN apt-get update && apt-get install -y \
    python3.8 \
    python3-pip

RUN pip3 install pymysql

ADD schema.sql /docker-entrypoint-initdb.d

ENV MYSQL_USER=user7
ENV MYSQL_PASSWORD=7user
ENV MYSQL_DATABASE=testdb
ENV MYSQL_ROOT_PASSWORD=s$cret

EXPOSE 3306

# docker run -p 3306:3306 pymaria-simple
#  ./app.py 
1, Bratislava, 432000
2, Budapest, 1759000
3, Prague, 1280000
4, Warsaw, 1748000
5, Los Angeles, 3971000
6, New York, 8550000
7, Edinburgh, 464000
8, Berlin, 3671000