Sabiane-Data

API for the management of questionnaires and organizational data for Computer-Assisted Personal Interviewing (CAPI) Data Collection REST API for communication with Queen-Back-Office and Pearl-Jam-Bak-Office.

Status

PoC: experimentation to refactor a batch approach for Sabiane data management

Quick start :

With docker :

• docker run -p 8080:8080 -t inseefrlab/sabiane-data

To override environments variables you can do :

• docker run -p 80:80 -e FR_INSEE.SABIANEDATA.API.HOST=http://override.value.com -t inseefr/queen

With Maven - Requirements

For building and running the application you need:

• JDK 11
• Maven 3

With Maven - Install and execute unit tests

Use the maven clean and maven install

mvn clean install

With Maven - Running the application locally

Use the Spring Boot Maven plugin like so:

mvn spring-boot:run

Application Accesses locally

To access to swagger-ui, use this url : http://localhost:8080/api/swagger-ui.html
To access to h2 console, use this url : http://localhost:8080/api/h2-console

Deploy application on Tomcat server

1. Package the application

Use the [Spring Boot Maven plugin] (https://docs.spring.io/spring-boot/docs/current/reference/html/build-tool-plugins-maven-plugin.html) like so:

mvn clean package

The war will be generate in /target repository

2. Install tomcat and deploy war

To deploy the war file in Tomcat, you need to : Download Apache Tomcat and unpackage it into a tomcat folder
Copy your WAR file from target/ to the tomcat/webapps/ folder

3. Tomcat config

Before to startup the tomcat server, some configurations are needed :

External Properties file

Create sabianedata.properties near war file and complete the following properties:

#Profile configuration

# Security : "keycloak" or "none"
fr.insee.sabianedata.security=none

#############  Swagger host ############# 
fr.insee.sabianedata.api.scheme=http
fr.insee.sabianedata.api.host=localhost:8080

############# Logging ############# 
logging.config=${catalina.base}/webapps/log4j2.xml

...