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Mccalluc/remove old bits #195
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root_label, | ||
client=docker.from_env(), | ||
pem=None, | ||
ssh_username=None | ||
): | ||
""" | ||
:param string data_dir: Only needed if input is passed as file. |
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remove param comment
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done
tests/test_docker_utils.py
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'container_input_path': '/usr/share/nginx/html/index.html' | ||
}).url | ||
self.assert_loads_eventually(url, '{"foo": "bar"}') | ||
# TODO: We're no longer writing the input straight to disk: |
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If you're getting to it soon, no worries but if not on immediate radar shift to an issue.
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Filed #196
* Add engine_version var and set default to 10.4; We are targeting the latest available Postgres engine version provided by AWS RDS at the moment * Specify exact Postresql versions to target for Aws and Vagrant deployments; When specifying `manage_package_repo`, setting version to `10.4` will fail. Postgres version schem has changed and specifying 10 will fetch the latest point release. * Specify Travis addons, packages, and envvar for postgres-10 * I think we can still use the standard port * Remove unnecessary commands Ref: #3047, refinery-platform/django_docker_engine#195 * Remove `docker` from services as Travis-CI provides this already nowadays * Remove redundant declaration of postgresql service * Specify PGPORT as global build envvar * Use default postgres port on Travis * Remove neo4j service declaration * Add known workaround to be able to use the default PostgreSQL port on Travis-CI; See: travis-ci/travis-ci#8537 (comment) * Use older postgres auth config * Specify PostgreSQL 10 in postgresql.pp [skip ci] * specify `manage_package_repo` in AWS `::postgresql::globals` as well [skip ci] * Add rds_engine_version as a temporary configurable, and set default to 10.5; PostgreSQL 10.5 is the current latest AWS supported engine at the moment of typing this * Replace `rds_engine_version` variable with hardcoded value * Specify postgres 10 in aws.sh script * Remove postgresql-client library installation
When this began there were three ways of providing input: The environment variables INPUT_JSON and INPUT_JSON_URL, but a third option was writing directly to a mounted file system. We never used this in production, and it added a lot of complexity to the code base.