Law Enforcement Media Application (LEMA)

The following installation steps compliment the full LEMA Administration Guide, available from the IDOL documentation site, under "IDOL Government Solutions".

Basic deployment

To deploy LEMA to a Docker system, use the deploy.py tool, which requires Docker Compose. Required software versions:

• Python 3, version 3.6 or later
• Docker, version 1.13.0 or later
• Docker Compose, version 1.10.0 or later

Log in with your own password to gain access to the Micro Focus IDOL containers on Docker Hub:

docker login -u microfocusidolreadonly

To obtain your password (API key) contact Micro Focus support.

Configure the location of your IDOL License Server in config/base.env, and grant the admin role in your License Server configuration to the host you will deploy the analysis component to.

Add TLS certificates in config/https/ (see the Encryption section).

Run the deploy.py tool using Python. (Much like when running docker or docker-compose, you may have to run it as a different user with sufficient permissions to manage Docker containers.)

python3 deploy.py --init auth entity filestore analysis audit api ui

With the default configuration, the LEMA UI will be available at https://localhost:8070 once the system has started.

After the system has started, log in with a user that has the admin role. The LEMA UI will then perform a one off initialization.

To show options and other usage information, run:

python3 deploy.py --help

Configuration

All configuration files are in the config directory. base.env contains settings relevant to multiple components, and, for example, api.env contains settings relevant only to the api component. Lines starting with # are ignored, and these are used to explain the meaning of each of the settings.

Encryption

By default, the user-facing servers (authentication server, API, and UI) only accept encrypted connections. For this to work, you must obtain TLS certificates and copy them into the config directory. The required files are:

• config/https/api/tls.key: Private key for the API.
• config/https/api/tls.crt: Server certificate for the API.
• config/https/auth/tls.key: Private key for the authentication server.
• config/https/auth/tls.crt: Server certificate for the authentication server.
• config/ui/auth/nginx.key: Private key for the UI.
• config/ui/auth/nginx.crt: Server certificate for the UI.

Further examples

To use HTTP instead of HTTPS, for testing purposes only, run:

python3 deploy.py --disable-encryption --init auth entity filestore analysis audit api ui

note: changes to the encryption state of a deployed system require manual deletion of the realm in Keycloak before running deploy.py with the new state.

To resume a stopped LEMA system, or to apply changes made to configuration files, or to change which components are deployed: run the normal command to deploy, but without the --init argument:

python3 deploy.py auth entity filestore analysis audit api ui

You can deploy components on different hosts, or deploy some components separately using a compatible implementation (read the deploy.py tool help text for a list of components). For example, to use an existing object storage server and deploy the audit database on a separate host, configure hosts and ports in the files in config/, and then run on separate hosts (note that --init need only be run once):

python3 deploy.py audit
python3 deploy.py --init auth entity analysis api ui

System information

By default, the following ports are forwarded ('public' ports listen on all interfaces (0.0.0.0), while others listen on 127.0.0.1 only):

Component	Port	Public	Purpose
auth	8000	no	PostgreSQL database storing authentication server configuration
auth	8010	yes	Keycloak authentication server (API and admin UI)
entity	8021	no	ACI port of IDOL Content database backend for the Gremlin database
entity	8022	no	Index port of IDOL Content database backend for the Gremlin database
entity	8023	no	Port of Cassandra database backend for the Gremlin database
filestore	8030	no	S3-compatible object storage
analysis	8040	no	NiFi server for media analysis (API and admin UI)
audit	8050	no	PostgreSQL database storing audit logs
api	8060	yes	System HTTP API
ui	8070	yes	LEMA UI

Docker volumes are created with the prefix micro-focus-idol-lema_, which can be changed using the COMPOSE_PROJECT_NAME setting. The following volumes are created:

Component	Volume name	Purpose
auth	auth-db-data	Authentication server configuration
entity	entity-storagedb-data	Application data
entity	entity-indexdb-data	Search index for application data
entity	entity-indexdb-license-data	Cache for license information
filestore	filestore-service-data	Uploaded and generated files
audit	audit-db-data	Audit logs

All containers connect to a Docker network called micro-focus-idol-lema_main. The micro-focus-idol-lema prefix can be changed using the COMPOSE_PROJECT_NAME setting.