情感分析可视化项目后端API.zip

# Swagger generated server ## Overview This server was generated by the [swagger-codegen](https://github.com/swagger-api/swagger-codegen) project. By using the [OpenAPI-Spec](https://github.com/swagger-api/swagger-core/wiki) from a remote server, you can easily generate a server stub. This is an example of building a swagger-enabled Flask server. This example uses the [Connexion](https://github.com/zalando/connexion) library on top of Flask. ## Requirements Python 3.5.2+ ## Usage To run the server, please execute the following from the root directory: ``` pip3 install -r requirements.txt python3 -m swagger_server ``` and open your browser to here: ``` http://localhost:8080/tianchi_yue/sentiment_analysis/1.0.0/ui/ ``` Your Swagger definition lives here: ``` http://localhost:8080/tianchi_yue/sentiment_analysis/1.0.0/swagger.json ``` To launch the integration tests, use tox: ``` sudo pip install tox tox ``` ## Running with Docker To run the server on a Docker container, please execute the following from the root directory: ```bash # building the image docker build -t swagger_server . # starting up a container docker run -p 8080:8080 swagger_server ``` #### 从swagger hub 下载后修改 - run.sh - python -m swagger_server 运行程序 - shell 运行 - runserver.py - 在pycharm 中运行 - swagger_server/swagger/swagger.yaml - 注释掉host - swagger_server/main.py - app.run(port=7700, host='0.0.0.0', server='tornado') - host 让外部访问， tornado 多线程运行 - 查看ui - http://localhost:8080/tianchi_yue/sentiment_analysis/1.0.0/ui/ - api_test.py - 测试api post_data = {"question":[question]} data = requests.post("http:",json=post_data) data = data.json() - src - 后台算法 - nltk,spacy,textblob - controller - 添加算法，sys.path - 函数名对应 定义的operationID - 在服务器搭建server - 内部线程安全 - nginx gunicorn