M Release images

Component	Image	Tag

Component	Image	Tag
TEIV Exposure	nexus3.o-ran-sc.org:10002/o-ran-sc/smo-teiv-exposure	0.4.0
TEIV Ingestion	nexus3.o-ran-sc.org:10002/o-ran-sc/smo-teiv-ingestion	0.4.0
TEIV Ingestion Adapter (NCMP)	nexus3.o-ran-sc.org:10002/o-ran-sc/smo-ncmp-to-teiv-adapter	0.0.2
TEIV Ingestion Adapter (FOCOM/Nephio)	nexus3.o-ran-sc.org:10002/o-ran-sc/smo-focom-to-teiv-adapter	0.1.0

Run using docker-compose

A sample docker-compose deployment is available from https://github.com/o-ran-sc/smo-teiv/tree/master/docker-compose

#
# ============LICENSE_START=======================================================
# Copyright (C) 2024 Ericsson
# Modifications Copyright (C) 2024-2025 OpenInfra Foundation Europe
# ================================================================================
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# SPDX-License-Identifier: Apache-2.0
# ============LICENSE_END=========================================================
#
services:

#
# uncomment if you have your own YANG files in docker-compose/generate-defaults
# NB: uncomment lines 74 and 75 as well from dbpostgresql
# depends_on:
# - pgsql-schema-generator
#
# pgsql-schema-generator:
# container_name: pgsql-schema-generator
# image: o-ran-sc/smo-teiv-pgsql-schema-generator:latest
# volumes:
# - ./generate-defaults:/opt/app/pgsql-schema-generator/resources/generate-defaults
# - ./sql_scripts:/opt/app/pgsql-schema-generator/sql_scripts
# deploy:
# resources:
# reservations:
# cpus: '2'
# memory: 2G
# limits:
# cpus: '3'
# memory: 3G

#
# comment out kafka-producer if you DON'T want pre-populated example data in TEIV OR
# you have created your own sql schemas with your own YANG files OR
# you can create your own events tailored to your YANG files in docker-compose/cloudEventProducer/events
#
kafka-producer:
container_name: kafka-producer
image: confluentinc/cp-kafka:7.6.1
volumes:
- ./cloudEventProducer/cloudEventProducerForDockerCompose.sh:/cloudEventProducer.sh
- ./cloudEventProducer/events:/events
depends_on:
- topology-ingestion-inventory
- kafka
restart: "no"
entrypoint: [ "/bin/bash", "-c", "sleep 45 && bash /cloudEventProducer.sh" ]

dbpostgresql:
container_name: dbpostgresql
image: postgis/postgis:13-3.4-alpine
ports:
- ${DB_PORT:-5432}:5432
volumes:
- ./sql_scripts:/docker-entrypoint-initdb.d
command: ["/bin/sh", "-c", "bash /docker-entrypoint-initdb.d/waitForFiles.sh"]
environment:
POSTGRES_DB: topology_exposure_db
POSTGRES_USER: ${DB_USERNAME:-topology_exposure_user}
POSTGRES_PASSWORD: ${DB_PASSWORD:-dbpassword}
restart: always
# depends_on:
# - pgsql-schema-generator
deploy:
resources:
reservations:
cpus: '1'
memory: 1G
limits:
cpus: '6'
memory: 3G

topology-exposure-inventory:
container_name: topology-exposure-inventory
image: o-ran-sc/smo-teiv-exposure:latest
ports:
- 31074:8080
# Uncomment for debug
# - 5005:5005
# environment:
# JAVA_TOOL_OPTIONS: -agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005
depends_on:
- dbpostgresql
# Uncomment the following line if topology-exposure-inventory is trying to connect to dbpostgresql before it is ready
# command: ["/bin/sh", "-c", "sleep 30 && java -jar topology-exposure-inventory-app.jar"]
deploy:
resources:
reservations:
cpus: '2'
memory: 2G
limits:
cpus: '3'
memory: 3G

topology-ingestion-inventory:
container_name: topology-ingestion-inventory
image: o-ran-sc/smo-teiv-ingestion:latest
depends_on:
- dbpostgresql
# Uncomment the following line if topology-ingestion-inventory is trying to connect to dbpostgresql before it is ready
# command: ["/bin/sh", "-c", "sleep 30 && java -jar topology-exposure-inventory-app.jar"]
deploy:
resources:
reservations:
cpus: '2'
memory: 2G
limits:
cpus: '3'
memory: 3G

zookeeper:
image: confluentinc/cp-zookeeper:6.2.1
container_name: zookeeper
ports:
- '2181:2181'
environment:
ZOOKEEPER_CLIENT_PORT: 2181

kafka:
image: confluentinc/cp-kafka:7.6.1
container_name: kafka
ports:
- '9093:9093'
depends_on:
- zookeeper
environment:
KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka:9092,OUTSIDE://localhost:9093
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_BROKER_ID: 1
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

kafka2:
image: confluentinc/cp-kafka:7.6.1
container_name: kafka2
depends_on:
- zookeeper
environment:
KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka2:9094
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_BROKER_ID: 2
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

kafka3:
image: confluentinc/cp-kafka:7.6.1
container_name: kafka3
depends_on:
- zookeeper
environment:
KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka3:9096
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_BROKER_ID: 3
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

To execute this docker-compose script simply navigate to the directory containing the script and execute:

docker-compose up -d

Sample scripts to pre-load the TEIV registry with some sample models/schemas/data are also available in the 'docker-compose/' directory in the repo mentioned above. The scripts are run automatically when using "docker-compose up"

Release M - Run in Docker

M Release images

Run using docker-compose