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viper-data-collection

This is a backend to collect and benchmark user programs and metadata (with consent) from Viper verifiers and frontends for future evaluation. It consists of a PostgresQL database run in a Docker container to store the data and a webserver to submit programs and post queries about stored data.

Prerequisites:

Setup

On Server

  • Clone this repository recursively: git clone --recursive https://github.com/viperproject/viper-data-collection
  • Make sure all files in bash_scripts are marked executable.
  • Run sbt compile
  • Set up port forwarding from localhost:WEBSERVER_LOCAL_PORT (can be found in util/Config) to your desired outbound port to be able to access the API.

Code to modify

For programs to be submitted to your instance, change the following files:

  • Silver: In viper.silver.utility.ProgramSubmitter change val API_HOST in the trait ProgramSubmitter to http://server_ip:outbound_port. This implementation is used by Silicon, Carbon, ViperServer, Gobra and Nagini.

  • Prusti: In prusti_utils::program_submitter change const API_HOST to http://server_ip:outbound_port.

  • vdc-query-frontend: In queryFrontend.Config change val API_HOST to http://server_ip:outbound_port.

Usage

Running Backend

Running ./run.sh will start the Docker database container and the API webserver.

Submitting Programs

User programs will only be submitted with their consent. To submit their programs, users have to explicitly pass a flag in the respective frontend:

  • Silicon, Carbon, Gobra: Add --submitForEvaluation to the command.
  • ViperServer: Pass --submitForEvaluation as a verifier option.
  • Prusti: There are different ways to pass options to Prusti, I would recommend adding the line submit_for_evaluation = true to your Prusti.toml
  • Nagini: Add --submit-for-evaluation to the command.

Querying WebAPI

To access the API, either query http://server_ip:outbound_port/query_endpoint directly, or use the pre-written queries in vdc-query-frontend/src/main/scala/queryFrontend/APIQueries, which handle correct serialization of the query data.

Database Backups

To back up the database, run bash_scripts/db_backup.sh. This will store a compressed backup in db/backups/. To restore an older version, run bash_scripts/db_restore.sh backup_filename. The file has to be found in db/backups/.

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