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  • MySQL installation,
  • Spring Boot installation (execution of Spring Boot based application),
  • Exposing RESTful Web Services.

Schema of components used by RESTful WS server

Starting

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WS API server from source codes

Catalogue QT Web Services are hosted using Spring-Boot framework. In order to start server you have to clone the repository with source code. Source code of all the components can be downloaded from the code repository (Catalog QT2).

...

Info

In case you have issues while accessing your MySQL installation, please consult your sys admin to resolve the issue.

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 Starting Spring Web Services

To prepare Catalog QT environment run compile.sh script - it will create server application and basic components. 

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Info

Note that you can use different port number for `Spring Boot` application

Code Block
> SERVER_PORT=8081 mvn spring-boot:run

 Startnig WS API Server from Docker Containers

Our codes are open-source and you can find them in here: https://github.com/mkopsnc/catalogue_qt_docker .

We have two docker containers that containes all of the above components.

  • docker compose - the app is built of independent dockers that are connected to each other. According to the idea of microservices.
  • single-container - mainly used by developers, all components are built on the basis of one Dockerfile, which creates one container.

 Docker-compose installation


 Catalogue QT Docker - Docker Compose Installation

This container is desined to simplify installation of Catalogue QT and it's components. Instead of installing it on `IMAS` compatible platform you can use it on virtually any machine.


Info

Our codes are open-source and you can find them in here: https://github.com/mkopsnc/catalogue_qt_docker 


Info

If you are installing our docker for the first time please go to the next section of this documentation.
Otherwise you have access to all of our repositories and can build docker easily as follows:

...

Code Block
> git clone https://github.com/mkopsnc/catalogue_qt_docker.git
> cd docker-compose/build
> ./build.sh
> cd ..
> ./run.sh -s notoken

Prepare your work environment

In order to build this container, you will need access to few repositories. This container is based on:

...

Code Block
> git clone --single-branch master https://github.com/tzok/imas-watchdog.git

Building container

In order to build and run container you have to do following:

Code Block
> cd docker-compose/build
> ./build.sh


Starting container

Catalogue QT 2 Docker can be run using multiple configurations. By default we provide following configurations

...

Code Block
> cd docker-compose
# ./run.sh -s <configuration file suffix> e.g.
> ./run.sh -s notoken


To access our application please paste this urls in your browser:


Configuration

Docker-compose Configuration

You can edit docker-compose._deployment_name_.yml to change:

  • The path where MySQL will store the data (default: $(pwd)/db-data)
  • The path where pulsefiles are stored on the host (default: $(pwd)/imasdb)
  • To map MySQL port to host port, so you can access the database from the container (by deafult no ports are exposed)
  • To add custom configuration of Web Services: application.properties file

Additionally you can edit existing configuration, or create your own e.g docker-compose.myconf.yml and run it!

Code Block
> ./run.sh -s myconf


Catalog QT 2 Web Services Configuration

Moreover, in our catalog-ws-server we have application.properties file, which is a configuration for our Web Services in Springboot. 

These Web Services are run inside Tomcat server.

Anatomy of application.properties file

Code Block
# location of database - typically, it will point at localhost, but
# it's also possible to change location of MySQL server.
# Docker based installation (docker-compose) will change it to db:3306
# In case of docker-compose based installation, MySQL is visible as another host
# Note that you don't have to change anything
spring.datasource.url=jdbc:mysql://localhost:3306/itm_catalog_qt?serverTimezone=UTC

# Default user name and password for database connection. Note that this connection
# will not work (by default) for external hosts. This is why we don't quite care about
# user/pass - however, you can alter these and make sure they don't contain default values
spring.datasource.username=itm_catalog_rw
spring.datasource.password=itm_catalog_rw
spring.jpa.properties.hibernate.jdbc.time_zone=UTC

# In case of errors we want to embed error message as well (so we better know what went wrong)
server.error.include-message=always

# We definitely don't want to log SQL queries. However, if you want to see them, feel free
# to enable this property
spring.jpa.show-sql=false

# We don't want to generate DB schema from bean classes
spring.jpa.hibernate.ddl-auto=none

# This is additional http handler, on another port
# We need this one, in case we plan to use https

# This is tricky :)
# If server.ssl fields are set, this field defines https port
# If server.ssl fields are not set, this field defines http port
server.port=8080

# However, we need http port anyway (for some components). This is why we expose services on
# http anyway. At the and we can end up with two different configurations
# http  (8080) and http (8081) - no certificates
# https (8443) and http (8081) - certificates 
server.http.port=8081
server.http.interface=0.0.0.0

# ------- Keycloak settings -------

keycloak.enabled=true

keycloak.realm = fair4fusion-docker-demo
keycloak.auth-server-url=https://sso.apps.paas-dev.psnc.pl/
keycloak.resource= catalogqt-cli
keycloak.realm-key= MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAjOCDGJsBi7rxVjf0RQb8pm0LAGsEKFcH7g7mKSqpFvp1uOypUeiYe5dwlwkXAXaYeYs0J70LB8E6mtVUcykbmp+XrqD1nn3yfPxlVLSg7iCvJqMUq8udsUbsyT3M/32/kssXurgY7rX5JhdtkYeAgq+9ifIjLQZhALg+FvEsX9C+D30WQDAChEljlReb+Y4UTz2aIqz9C+90bqG1ZIX4o3Dli1PZDosTNM444CwDTbrFrenctOTDtGPodo9k2jze8McZFAIrdUYi9mKD8v0frs8NUUW/TQj9h62swXdvVAfzYTd+R7aMRG0eXMV3rJc38DfsCsF7bkqSg0b4l8GcaQIDAQAB
keycloak.bearer-only = true
keycloak.public-client=true
keycloak.principal-attribute=preferred_username

spring.mvc.dispatch-options-request=true

# ------- HTTPS settings --------

# If you plan to use HTTPS, make sure to uncomment this one
# You have to make sure to generate and configure SSL certificate for your domain
#server.ssl.key-store=file:///home/imas/cert/keystore.p12
#server.ssl.key-store-password=catalogqt
#server.ssl.keyStoreType=PKCS12
#server.ssl.keyAlias=tomcat

# ------- Bearer token authorization --------

# Should we check authorisation header or not. This feature toggle enables sort of "single user mode"
# It's useful in case you don't have Keycloak and don't care about user roles. Once set to "false"
# it will make Web Services behave as if there is only one user
swagger-ui.authorization.header=true



The default configuration is inside our project, but (before building) if you want to use a diffrent configuration (e.g enabling SSL certificates, enabling Keycloak) you can paste in folder /catalogue_qt_docker/docker-compose/build/files/server another application.properties file, which will have higher priority and would override existing file in source codes and then you can build and run our docker.

If you have already build container, and want to change Web Services configuration, you can do that without rebuilding docker!
All you need to do is to add application.properties file to this folder docker-compose/volumes/server-properties.
When the container is taken off, it will have the highest priority.

After changing the settings, it may be necessary to restart from scratch:

Code Block
> docker-compose rm
> docker-compose up

...

Congratulations! You have set up an SSL certificate!


Adding persistent storage

You can add persistent storage by setting it up inside docker-compose.yml file

Code Block
services:
  db:
    volumes:
      - ./volumes/mysql:/var/lib/mysql

...

It is not required to link ./volumes/mysql location. In case you are using some other location for persistent data, feel free to use it instead.

Importing data from pulse file

Catalog QT Demonstrator allows to import MDSPlus based data automatically into SQL database. In order to do this you have to bind mount a volume. In a plain text it means that you have to tell Docker that you want to make your local filesystem to be available inside Docker container. Easiest way to do it is to create directory (or symbolic link) to a MDSPlus compatible local database.

First of all, make sure you have MDSPlus like directory structure with pulse files. The easiest way to execute Docker container with sample data is to get sample data from box.psnc.pl - these are completely artificially created data prepared by testing framework.

Code Block
> curl -s -o f4f_data.tar.gz \
    https://box.psnc.pl/seafhttp/files/01953e73-8ad3-4277-be71-57b69c395355/f4f_data.tar.gz


Make sure your directories structure looks like this:

Code Block
.
`-- catalogue_qt_docker
    `-- docker-compose
        `-- volumes
            `-- imasdb
                |-- f4f
                |   `-- 3
                |       |-- 0
                |       |   |-- ids_11062020.characteristics
                |       |   |-- ids_11062020.datafile
                |       |   |-- ids_11062020.populate
                |       |   |-- ids_11062020.tree
                |       |   |-- ids_11062021.characteristics
                |       |   |-- ids_11062021.datafile
                |       |   |-- ids_11062021.populate
                |       |   `-- ids_11062021.tree
                |       |-- 1
                |       |-- 2
                |       |-- 3
                |       |-- 4
                |       |-- 5
                |       |-- 6
                |       |-- 7
                |       |-- 8
                |       `-- 9
                `-- script.sh


Directory catalogue_qt_docker/docker-compose/volumes/imasdb is automatically mounted inside Docker container. It means that anything you have put in it, will be visible inside Docker container whenever it is running. Once Docker is running you can schedule data population by creating file with *.populate extension. You can do it following way. Inside directory with data execute script.sh with the name of database you want to have populated.

Code Block
> cd catalogue_qt_docker/docker-compose/volumes/imasdb
> ./script.sh f4f


If anything goes wrong, please delete all the .populate files by executing this command on linux:

Code Block
> find . -type f -name "*.populate" -delete


Debugging in docker-compose

You can debug either all the Java based components, inside Docker container, or you can specify which one should be started in debug more. For debugging Java code inside Docker containers we are using JDWP protocol, and by default we are using following ports

Info
Web Services   - 32889
Update process - 32888
imas-watchdog  - 32887

debugging_services.png

In order to enable debbug mode you can either use predefined docker-compose.debug.yml or enable debug mode for each service separatelly by adding sections inside your YAML file of choice.



Catalog-ws-server

To debug catalog-ws-server you need to add following lines to docker-compose.####.yml in server section

Code Block
  server:
    volumes:
      - ./volumes/imasdb:/home/imas/public/imasdb
    ports:
      - 32889:32889
    environment: 
      - DEBUG_SPRING_BOOT=true

Update process

To debug update-process you need to add following lines to docker-compose.####.yml in updateprocess section

Code Block
 updateprocess:
    volumes:
      - ./volumes/imasdb:/home/imas/public/imasdb
    ports:
      - 32888:32888
    environment:
      - DEBUG_UPDATE_PROCESS=true

...

To debug imas-watchdog you need to add following lines to docker-compose.####.yml in updateprocess section

Code Block
  watchdog:
    volumes:
      - ./volumes/imasdb:/home/imas/public/imasdb
      - ./volumes/fair4fusion-docker-demo:/docker-entrypoint-properties.d
    ports:
      - 32887:32887
    environment:
      - DEBUG_IMAS_WATCHDOG=true

...