Add kibana tool in the docker compose file(#10525) (#10526)

### What problem does this PR solve?

add kibana tool in the docker compose file(#10525)

### Type of change


- [x] New Feature (non-breaking change which adds functionality)

Co-authored-by: virgilwong <hyhvirgil@gmail.com>
This commit is contained in:
YngvarHuang
2025-10-14 09:38:47 +08:00
committed by GitHub
parent 9e73f799b2
commit aaae938f54
2 changed files with 31 additions and 2 deletions

View File

@ -37,9 +37,12 @@ OPENSEARCH_PASSWORD=infini_rag_flow_OS_01
# The port used to expose the Kibana service to the host machine,
# allowing EXTERNAL access to the service running inside the Docker container.
# To enable kibana, you need to:
# 1. Ensure that COMPOSE_PROFILES includes kibana, for example: COMPOSE_PROFILES=${DOC_ENGINE},kibana
# 2. Comment out or delete the following configurations of the es service in docker-compose-base.yml: xpack.security.enabled、xpack.security.http.ssl.enabled、xpack.security.transport.ssl.enabled (for details: https://www.elastic.co/docs/deploy-manage/security/self-auto-setup#stack-existing-settings-detected)
# 3. Adjust the es.hosts in conf/service_config.yaml or docker/service_conf.yaml.template to 'https://localhost:1200'
# 4. After the startup is successful, in the es container, execute the command to generate the kibana token: `bin/elasticsearch-create-enrollment-token -s kibana`, then you can use kibana normally
KIBANA_PORT=6601
KIBANA_USER=rag_flow
KIBANA_PASSWORD=infini_rag_flow
# The maximum amount of the memory, in bytes, that a specific Docker container can use while running.
# Update it according to the available memory in the host machine.

View File

@ -207,6 +207,30 @@ services:
start_period: 10s
kibana:
container_name: ragflow-kibana
profiles:
- kibana
image: kibana:${STACK_VERSION}
ports:
- ${KIBANA_PORT-5601}:5601
env_file: .env
environment:
- TZ=${TIMEZONE}
volumes:
- kibana_data:/usr/share/kibana/data
depends_on:
es01:
condition: service_started
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:5601/api/status"]
interval: 10s
timeout: 10s
retries: 120
networks:
- ragflow
restart: on-failure
volumes:
esdata01:
@ -221,6 +245,8 @@ volumes:
driver: local
redis_data:
driver: local
kibana_data:
driver: local
networks:
ragflow: