flowchart LR
subgraph Internet
    D[Client]
end

subgraph DOCKER [Docker]

  D --> N{"Load Balancer <br/> (Nginx)"}

  N <==> B[Next.js server]
  N <==> C["<div style='padding: 0rem 1rem;'>api <br/> (koa) </div>  "]

  C <==> R
  C <==> G
  G <==> I

  subgraph Cache
    style Cache margin-top: 100
        R[("<div style='padding: 0rem 0.5rem;'>Redis </div>  ")]
  end

    subgraph Blacklab
    style Blacklab margin-top: 100
        G[("<div style='padding: 0rem 1rem;'>blacklab <br/> (apache lucene) </div> ")]
  end

  subgraph Indexes
    style Indexes margin-top: 100
        I["<div style='padding: 0rem 1rem;'>Indexes <br/> (by Indexer) </div>  "]
  end
end

The user only needs to put the tei files into corpus-backend/blacklab/indexer/tei-data/ and it will be automatically written into the database by the pre-written script indexer.sh when running docker-compose.

We assume here that you are familiar with the BlackLab indexing process; see indexing with BlackLab to learn more.

git clone [email protected]:Retr0327/corpus-frontend.git
git clone [email protected]:Retr0327/corpus-backend.git

Hence, the project strucutre should look like this:

corpus-frontend\        
 |-- public\              # some static files
 |-- src\                 # source files
 |-- ...
corpus-backend\
 |-- deployment\          # deployment folder
 |-- src\                 # source files
 |-- ...

For corpus-frontend, please create a .env.local file:

NEXT_PUBLIC_API_URL=http://localhost:3000/service/api/v1
NEXT_PUBLIC_EXTERNAL_API_URL=http://api:3000/service/api/v1

As for corpus-backend, please create a .env file:

BLACKLAB_URL="http://blacklab:8080/blacklab-server"

• in development mode:

  docker-compose -f docker-compose.dev.yml up

• in production mode:

  docker-compose up

Remember to run the command in the backend folder!

If you have any suggestion or question, please do not hesitate to email me at [email protected]