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European Cache Registry


A middleware between FGAS and ODS Registries and BDR.

This application fetches data from FGAS/ODS and BDR, runs a fuzzy matching algorithm between the new companies (called Undertakings) that were imported from the specific registries and the old companies (called Companies) that used BDR for reporting before switching to FGAS/ODS registries.

Matching is a two-step process, since the fuzzy matching algorithm results have to be verified by a authenticated user.

  • A matching command is run which creates link objects for matching Undertaking - Company pairs - this command can also be configured to verify all undertakings from a domain or undertakings for which the algorithm cannot find a match.
  • An authenticated user can verify the link created by the matching algorithm. If a mistake was made, the link can be unverified.
  • An authenticated user can make a manual connection between an Undertaking and a Company, without a prior matching link.

Travis Coverage Docker


Installing the application

  1. Clone the repository:

    git clone cd european.cache.registry
  2. Customize env files:

    cp .secret.example .secret vim .secret cp docker/init.sql.example docker/init.sql vim docker/init.sql
  3. Start application stack:

    docker-compose pull docker-compose up -d docker-compose logs
  4. Run tests:

    docker exec -it sh pip install -r requirements-dev.txt py.test --cov=cache_registry testsuite
  5. Type: http://localhost:5000

Upgrading the application

  1. Get the latest version of source code:

    cd european.cache.registry git pull origin master
  2. Update the application stack, all services should be “Up”:

    docker-compose up -d docker-compose ps

Development instructions

  1. Customize docker orchestration for local development:

    cp docker-compose.override.yml

By default, it builds a local image for app service and maps the project directory inside the app container.

You can add a fixed port number instead the floating one by specifying it under the ports directive (e.g. “5000:5000” instead of “5000”).

  1. Start stack, all services should be “Up” :

    docker-compose up -d docker-compose ps
  2. Check application logs:

    docker-compose logs
  3. When the image is modified you should update the stack:

    docker-compose down -v #optional step for droping all containers and volumes docker-compose up -d --build


  • Please make sure that DEBUG=True in .secret

  • Update docker-compose.override.yml file app section with the following so that is not executed:

      entrypoint: ["/usr/bin/tail", "-f", "/dev/null"]
  • Attach to docker container and start the server in debug mode:

      docker exec -it sh   python ./ runserver -h -p 5000

Data import

  • Copy the test database in ecr.db container and import into postgres:

      docker cp ecr.sql ecr.db:ecr.sql   docker exec -it ecr.db bash   psql ecr -U ecr < ecr.sql

Syncronise with FGAS/ODS Portal

  • Fetch the latest data from a test server:

      docker exec bash -c "python ./ sync fgases -d 500"   python ./ sync fgases [-d 30]   python ./ sync ods [-d 30]
  • In order to sync BDR collections title with the cache server’s corresponding undertakings name:

      docker exec bash -c "./ sync sync_collections_title"
  • For syncing bdr without SSL verification, set the following switch in settings:

      HTTPS_VERIFY = False

For patching the company data, set PATCH_COMPANIES to a dictionary containing values to be updated. Use the company external id as a key.

For patching user access, set PATCH_USERS to a list of users to be added to a company. Use the company external id as a key.


  • Modify the fuzzy matching algorithm percent value (how much should old and new be alike):

      FUZZ_LIMIT = 75
  • List domains, separated by commas, on which matching should be run:

  • List domains, separated by commas, on which matching shouldn’t be run

  • Specify if on companies with a certain domain and no match found by the algorithm should be auto-verified(!This company should also be declared in MANUAL_VERIFY_ALL_COMPANIES):


! Make sure you don’t live a comma between the domains (FGAS,ODS not FGAS, ODS)

  • Run matching algorithm:

      docker exec bash -c "python ./ run"
  • Cleanup all existing links made by the matching command, verified or not:

      docker exec bash -c "python ./ flush"
  • Verify link made by the matching algorithm:

      docker exec bash -c
      "python ./ verify {undertaking_id} {oldcompany_id}"
  • Unverify link made by the matching algorithm and already verified:

      docker exec bash -c
      "python ./ unverify {undertaking_id} {domain}"
  • Manually connect undertaking and old company on a certain domain, without creating a matching link like the algorithm does:

      docker exec bash -c
      "python ./ manual {undertaking_id} {domain} {oldcompany_id}"


  1. Run tests:

    docker exec -it sh pip install -r requirements-dev.txt py.test --cov=cache_registry testsuite
  2. Generate a coverage report:

    py.test --cov-report html --cov=cache_registry testsuite

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