Basic Project Structure

项目环境

克隆整个项目

git clone https://github.com/NanZhang1991/ai-framework.git

运行环境

redis installation

from source code Download, extract and compile Redis with:

curl https://download.redis.io/redis-stable.tar.gz -o redis-stable.tar.gz && \
tar -xvzf redis-stable.tar.gz && \
mv redis-stable/ redis && \
rm -f redis-stable.tar.gz && \
yum clean all && \
cd redis && \
make && make PREFIX=/usr/local/redis install && \
mkdir -p /usr/local/redis/conf/ && \
cp /home/redis/redis.conf  /usr/local/redis/conf/  && \
sed -i '69s/127.0.0.1/0.0.0.0/' /usr/local/redis/conf/redis.conf && \
sed -i '88s/protected-mode yes/protected-mode no/' /usr/local/redis/conf/redis.conf

添加环境变量

vim /etc/profile

PATH=$PATH:/usr/local/redis/bin

激活环境变量

source /etc/profile

启动redis服务

redis-server /usr/local/redis/conf/redis.conf

ai-frameword(项目根目录) 目录下

python 环境

pip install -r requirements.txt

start celery

linux

celery -A app.celery_app.task worker --loglevel=info

service

启动服务

python server.py

测试

python -m unittest

后台启动

nohup python3 server.py >/dev/null 2>&1 &

Docker部署

chmod +x install.sh
./install.sh

变量参数 image_name="forp/ai-framework:base" contains_name="ai-framework" port="8000:8000" PROFILES_ACTIVE="dev"

默认部署环境为开发环境 deploy_config文件夹下用于存放develop test product 环境的配置文件 通过 修改参数-e PROFILES_ACTIVE 变量值 在运行env/run.sh 脚本时重新配置app/config/deploy.json文件

service

Task_start

Service request

psot: ip:8000/api/task_start parameters: file, input_json

Service response

{"code":200,
 "data":"xxxx",
 "msg":"success"}

Task_status

Service request

get ip:8000/api/task_status parameters: id

Service response

{"code":200,
 "data":"xxxx",
 "msg":"success"}

代码行数统计

python count_lines.py

把所有代码写入word

python write_code_word.py