curl -H "Content-Type: application/json" -X POST -d '{"hash": "ABC", "output": [ { "filteredCodes": [ { "code": "118932009", "codeSystem": "SNOMEDCT_US" }, { "code": "13644009", "codeSystem": "SNOMEDCT_US" }, { "code": "280136002", "codeSystem": "SNOMEDCT_US" } ] } ] }' http://localhost:5000/loupe_query
curl localhost:5000/loupe_query/ABC
curl localhost:5000/loinc_code/9970-5
The JSON response will include the long name for the LOINC term as well as the system the term belongs to.
After cloning into the git repository, first run this command:
docker build -t p3000/mongo-proxy:latest .
Then, run the following command to start the container:
docker run -d -e DB="mongodb://username:password@host.example.com:27017" -p 3060:5000 p3000/mongo-proxy:latest
A live instance is currently deployed at http://mongo-proxy.healthcreek.org, physically running on docker01.healthcreek.org at ASU BMI. The command string is only slightly different. Before starting for the first time, data needs to be loaded into the database by starting a container with a non-default command string that will exit after data have finished loading. For example:
docker run -it --rm -e "DB=mongo://admin:the_password@db01.healthcreek.org" p3000/mongo-proxy:latest python create_loinc_db.py
After successfully loading data, you may start the default application as a daemon:
docker run -d -p 3060:5000 --name mongo-proxy --restart unless-stopped -e "DB=mongo://admin:the_password@db01.healthcreek.org" p3000/mongo-proxy:latest
Now, you should be able to connect to the API through the browser at localhost:3060.