MedCo Technical Documentation
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    • Command-Line Interface (CLI)
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  • For Developers
    • Local Development Deployment
    • System Architecture
    • Description of the default test data
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    • Release a new version
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    • MedCo Live Demo Tutorial
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  • MedCo Stack Deployment (except Glowing Bear)
  • Deploy new docker image of a running service
  • Glowing Bear Deployment
  • Test the deployment

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  1. For Developers

Local Development Deployment

Deployment profile dev-local-3nodes.

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Last updated 4 years ago

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This deployment profile comes with default pre-generated keys and password. It is not meant to contain any real data nor be used in production. If you wish to do so, use instead the deployment profile.

This deployment profile deploys 3 MedCo nodes on a single machine for development purposes. It is meant to be used only on your local machine, i.e. localhost. The tags of the docker images used are all dev, i.e. the ones built from the development version of the different source codes. They are available either through Docker Hub, or built locally from the sources of each component.

MedCo Stack Deployment (except Glowing Bear)

First step is to clone the medco repository with the correct branch. This example gets the data in the home directory of the current user, but that can be of course changed.

cd ~
git clone -b dev https://github.com/ldsec/medco.git

Next step is to build the docker images defined in the medco repository:

cd ~/medco/deployments/dev-local-3nodes
make build

Note that this will build the docker images defined locally. Because those are development versions, there is no guarantee that they will work at any point in time.

Next step is to run the nodes. They will run simultaneously, and the logs of the running containers will maintain the console captive. No configuration changes are needed in this scenario before running the nodes. To run them:

$ make up

Wait some time for the initialization of the containers to be done (up to the message: “i2b2-medco-srv… - Started x of y services (z services are lazy, passive or on-demand)”), this can take up to 10 minutes. For the subsequent runs, the startup will be faster.

Deploy new docker image of a running service

In order to deploy new code in the running deployment, it is enough to stop and start again the running container(s). Example:

make stop
make up

To confirm that a new version of the image has been deployed, Docker will output in the console "Recreating container ...".

Glowing Bear Deployment

First step is to clone the glowing-bear-medco repository with the correct branch.

cd ~
git clone -b dev https://github.com/ldsec/glowing-bear-medco.git

Glowing Bear is deployed separately for development, as we use its convenient live development server:

cd ~/glowing-bear-medco/deployment
./dev-server.sh

Note that the first run will take a significant time in order to build everything.

In order to stop the containers, simply hit Ctrl+C in all the active windows.

Test the deployment

make load_test_data

In order to test that the development deployment of MedCo is working, access Glowing Bear in your web browser at http://localhost:4200/glowing-bear/ and use the default credentials specified in . If you are new to Glowing Bear you can watch the video. You can also use the to perform tests.

By default MedCo loads a specific test data, refer to for expected results to queries. To load a dataset, follow the guide . To load some additional test data by performing a simple data loading you can execute the following:

Network Deployment (network)
Description of the default test data
Loading Data
Glowing Bear user interface walkthrough
CLI client
Keycloak user management