Python docker_links is a kiss python module which helps to list linked containers inner containers.
You can use it with ENTRYPOINT script to generate configuration.
We have some containers described in docker-compose.yml
# Here some dummies containers
test1:
image: busybox
command: sleep 30
expose:
- 800
- 8001/udp
environment:
FOO: bar
test2:
image: busybox
command: sleep 30
expose:
- 800/udp
- 8001
test3:
image: busybox
command: sleep 30
environment:
FOO: bar
# Here our container that embed docker_links.py linked
# with dummies containers
dockerlinks:
build: .
dockerfile: Dockerfile.py3
command: python docker_links.py
links:
- test1
- test2
- test3Start them
$ docker-compose build && docker-compose up dockerlinksWe should get formated json with informations about linked containers.
{
"172.17.0.2": {
"environment": {
"FOO": "bar",
"affinity:container": "=a5601d5d225a3e57ea295c7646468067dd1859d4b2ee4574b5bf5542ed372e59"
},
"names": [
"d778f6ef9371",
"pythondockertools_test3_1",
"test3",
"test3_1"
],
"ports": {}
},
"172.17.0.3": {
"environment": {
"affinity:container": "=78393f27c629fc426af5837a11d30720c8af7a5e029eb173b394f207e7e4701c"
},
"names": [
"5fc12cf7b49e",
"pythondockertools_test2_1",
"test2",
"test2_1"
],
"ports": {
"800": {
"protocol": "tcp"
},
"8001": {
"protocol": "tcp"
}
}
},
"172.17.0.4": {
"environment": {
"FOO": "bar",
"affinity:container": "=6a31a66a1aafcd607763dcd916b81b4385a3baf4354c044345255c3eb0bce925"
},
"names": [
"d32fc2303721",
"pythondockertools_test1_1",
"test1",
"test1_1"
],
"ports": {
"800": {
"protocol": "tcp"
},
"8001": {
"protocol": "udp"
}
}
}
}from docker_links import DockerLinks
links = DockerLinks()
print(links.links())You'll get a dictionary with all linked containers
{'172.17.0.2': {'environment': {'affinity:container': '=6a31a66a1aafcd607763dcd916b81b4385a3baf4354c044345255c3eb0bce925', 'FOO': 'bar'}, 'ports': {'800': {'protocol': 'tcp'}, '8001': {'protocol': 'udp'}}, 'names': ['d32fc2303721', 'pythondockertools_test1_1', 'test1', 'test1_1']}, '172.17.0.3': {'environment': {'affinity:container': '=78393f27c629fc426af5837a11d30720c8af7a5e029eb173b394f207e7e4701c'}, 'ports': {'800': {'protocol': 'tcp'}, '8001': {'protocol': 'tcp'}}, 'names': ['5fc12cf7b49e', 'pythondockertools_test2_1', 'test2', 'test2_1']}, '172.17.0.5': {'environment': {'affinity:container': '=a5601d5d225a3e57ea295c7646468067dd1859d4b2ee4574b5bf5542ed372e59', 'FOO': 'bar'}, 'ports': {}, 'names': ['d778f6ef9371', 'pythondockertools_test3_1', 'test3', 'test3_1']}}You call also get a pretty print json formating
from docker_links import DockerLinks
links = DockerLinks()
print(links.to_json())or filter links
from docker_links import DockerLinks
links = DockerLinks()
print(links.links('test1', 'test2')) # It also works with container uidTo run tests, ensure that docker-compose is installed and run
docker-compose build && docker-compose up testpython2 testpython3