UrlsController

The Controller's Application receives requests coming from the Workers , constructs an assignments-list with data received from a database and returns the list to the workers.
Then, it receives the "WorkerReports", it requests the full-texts from the workers, in batches, and uploads them on the S3-Object-Store. Finally, it writes the related reports, along with the updated file-locations into the database.

It can also process Bulk-Import requests, from compatible data sources, in which case it receives the full-text files immediately, without offloading crawling jobs to Workers.

For interacting with the database we use Impala.

BulkImport API:

• "bulkImportFullTexts" endpoint: http://<IP>:<PORT>/api/bulkImportFullTexts?provenance=<provenance>&bulkImportDir=<bulkImportDir>&shouldDeleteFilesOnFinish={true|false}
  This endpoint loads the right configuration with the help of the "provenance" parameter, delegates the processing to a background thread and returns a message with useful information, including the "reportFileID", which can be used at any moment to request a report about the progress of the bulk-import procedure. The processing job starts running after 30-60 minutes and processes the full-texts files inside the given directory, in the following way: it generates the OpenAIRE-IDs, uploads the files to the S3 Object Store, generates and stores the "payload" records in the database. If it is specified, it removes the successfully imported full-texts from the directory.
• "getBulkImportReport" endpoint: http://<IP>:<PORT>/api/getBulkImportReport?id=<reportFileID>
  This endpoint returns the bulkImport report, which corresponds to the given reportFileID, in JSON format.
  
  

Statistics API:

• "getNumberOfAllPayloads" endpoint: http://<IP>:<PORT>/api/stats/getNumberOfAllPayloads
  This endpoint returns the total number of payloads existing in the database, independently of the way they were aggregated. This includes the payloads created by other pieces of software, before the PDF-Aggregation-Service was created.
• "getNumberOfPayloadsAggregatedByService" endpoint: http://<IP>:<PORT>/api/stats/getNumberOfPayloadsAggregatedByService
  This endpoint returns the number of payloads aggregated by the PDF-Aggregated-Service itself. It excludes the payloads aggregated by other methods, by applying a Date-filter for the records created in 2021 or later.
• "getNumberOfPayloadsForDatasource" endpoint: http://<IP>:<PORT>/api/stats/getNumberOfPayloadsForDatasource?datasourceId=<givenDatasourceId>
  This endpoint returns the number of payloads which belong to the datasource specified by the given datasourceID.
• "getNumberOfRecordsInspected" endpoint: http://<IP>:<PORT>/api/stats/getNumberOfRecordsInspected
  This endpoint returns the number of records inspected by the PDF-Aggregation-Service.
  
  

Shutdown Service API:

• "shutdownService" endpoint: http://<IP>:<PORT>/api/shutdownService
  This endpoint sends "shutdownWorker" requests to all the Workers which are actively participating in the Service. The Workers will shut down after finishing their work-in-progress and all full-texts have been either transferred to the Controller or deleted, in case an error has appeared.
  Once the Workers are about to shut down, they send a "shutdownReport" to the Controller. A scheduling task runs in the Controller, every 2 hours, and if the user has specified that the Controller must shut down and all the Workers participating in the Service have shutdown, then it gently shuts down the Controller.
• "cancelShutdownService" endpoint: http://<IP>:<PORT>/api/cancelShutdownService
  This endpoint specifies that the Controller will not shut down, and sends "cancelShutdownWorker" requests to all the Workers which are actively participating in the Service (have not shut down yet), so that they can continue to request assignments.
  
  

To install and run the application:

• Run git clone and then cd UrlsController.
• Set the preferable values inside the application.yml file.
• Execute the installAndRun.sh script which builds and runs the app.
  If you want to just run the app, then run the script with the argument "1": ./installAndRun.sh 1.
  If you want to build and run the app on a Docker Container, then run the script with the argument "0" followed by the argument "1": ./installAndRun.sh 0 1.
  
  

Implementation notes:

• For transferring the full-text files, we use Facebook's Zstandard compression algorithm, which brings very big benefits in compression rate and speed.
• The uploaded full-text files follow this naming-scheme: "datasourceID/recordID::fileHash.pdf"