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README.md

JW Tornado Demo

A python api server demo developed using tornado web framework, deploy with docker.

Develop

Install python 3

This demo need python 3, follow this guide to install the latest python 3 to your system.

Install pipenv

This demo use pipenv to manage dependencies.

$ pip install --user pipenv

Clone repository

$ git clone git@github.com:jaggerwang/jw-tornado-demo.git
$ cd jw-tornado-demo

Install dependencies

Install dependencies specified in the Pipfile.

$ pipenv sync

Run

Run app in virtual env created by pipenv.

$ pipenv run python -m jwtornadodemo.app

Or activate virtual env first and run.

$ pipenv shell
$ python -m jwtornadodemo.app

It must to use -m to run the app module, because the app module used releative import.

You should change the default env values in module jwtornadodemo.config.env to your own, or change the default env values in command line, such as PATH_DATA=/tmp MONGODB_HOST=localhost MONGODB_PORT=27017 pipenv run python -m jwtornadodemo.app.

Unit test

$ pipenv run python -m unittest

Api test

$ curl http://localhost:8888/isLogined
{
    "code": 0,
    "message": ""
}

For full api list, check the app module.

Deploy

Install docker

Follow the official instruction to install docker to your system.

Clone repository

$ git clone git@github.com:jaggerwang/jw-tornado-demo.git
$ cd jw-tornado-demo

Build image

Use docker build command to build app image, it use the Dockerfile located in the root directory of the demo project.

$ docker build -t jaggerwang.net/jw-tornado-demo .

You can change the tag name jaggerwang.net/jw-tornado-demo to whatever you want, but it must be the same with the image name in the following docker-compose.yml file.

Dockerfile

FROM python:3

ENV APP_PATH=/app
ENV DATA_PATH=/data

WORKDIR $APP_PATH

COPY ./Pipfile* ./
RUN pip install pipenv
RUN pipenv sync

COPY . .

VOLUME $DATA_PATH

EXPOSE 8888

CMD pipenv run python -m jwtornadodemo.app

Run image

Use docker-compose up command to run app image and it's dependency images, including mongodb and redis.

$ docker-compose up

Your should modify docker-compose.yml as your own need, such as the app service's image name and all services's volume path.

docker-compose.yml

version: "2"
services:
  app:
    image: jaggerwang.net/jw-tornado-demo:latest
    environment:
      DEBUG: 'false'
      PATH_APP: /app
      PATH_DATA: /data
      LOGGING_LOGGER_LEVEL: INFO
      TORNADO_SERVER_PORT: 8888
      TORNADO_SERVER_NUMPROCS: 0
      SESSION_COOKIE_SECRET: 385aH8CvtcP51v985E56OgQryoIpzr61
      SESSION_EXPIRES_SECONDS: 86400
      MONGODB_HOST: mongodb
      MONGODB_PORT: 27017
      MONGODB_NAME: jw_tornado_demo
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_DB: 0
    ports:
    - 19900:8888
    volumes:
    - ~/data/jw-tornado-demo/app:/data
  mongodb:
    image: mongo:3
    volumes:
    - ~/data/jw-tornado-demo/mongodb:/data/db
  redis:
    image: redis:4
    command:
    - redis-server
    - --appendonly
    - 'yes'
    volumes:
    - ~/data/jw-tornado-demo/redis:/data

References

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A python api server starter kit, deploy using docker.

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