A skeleton for creating an OpenRefine reconciliation service via a docker container (originally based on OpenRefine/reconciliation_service_skeleton and also drawing inspiration from OpenRefine Style Reconciliation Containers
To run the container using a CSV based reconciliation file `/path/to/myfile.csv', with column name Searchval for the column to fuzzily match against and Idval as the id value:
docker run --name reconpy -p 5001:5000 -d -v /path/to:/tmp/import -e RECONFILE=myfile.csv -e SEARCHCOL=Searchval -e IDCOL=Idval psychemedia/recon-py
If you are running in
boot2docker find the IP address using
boot2docker ip (eg 192.168.59.103) and then preview the reconciliation service endpoint at
See OpenRefine/reconciliation_service_skeleton for additional ideas about how to further use the service, including constructing your own reconciliation servie containers.