//
// Notes to End Users.
//
// The workflow should run without editing this configuration file,
// however there may be instances in which you wish to edit this
// file for compute performance or other reasons. Please see:
//
//   https://nextflow.io/docs/latest/config.html#configuration
//
// for further help editing this file.


params {
    help = false
    fastq = null
    out_dir = "output"
    samples = null
    sanitize_fastq = false
    wfversion = "v0.0.7"
    aws_image_prefix = null
    aws_queue = null
    report_name = "report"

    monochrome_logs = false
    validate_params = true
    show_hidden_params = false
    schema_ignore_params = 'show_hidden_params,validate_params,monochrome_logs,aws_queue,aws_image_prefix,wfversion'
}

manifest {
    name            = 'epi2me-labs/wf-template'
    author          = 'Oxford Nanopore Technologies'
    homePage        = 'https://github.com/epi2me-labs/wf-template'
    description     = 'Template workflow'
    mainScript      = 'main.nf'
    nextflowVersion = '>=20.10.0'
    //version       = 'v0.0.7'  // TODO: do switch to this?
}

executor {
    $local {
        cpus = 4
        memory = "8 GB"
    }
}

profiles {
    // the "standard" profile is used implicitely by nextflow
    // if no other profile is given on the CLI
    standard {
        docker {
            enabled = true
            // this ensures container is run as host user and group, but
            //    also adds host user to the within-container group
            runOptions = "--user \$(id -u):\$(id -g) --group-add 100"
        }
        process {
            withLabel:pysam {
                container = "ontresearch/wf-template:${params.wfversion}"
            }
            shell = ['/bin/bash', '-euo', 'pipefail']
        }
    }
    
    // profile using conda environments rather than docker
    // containers
    conda {
        docker {
            enabled = false
        }
        process {
            withLabel:pysam {
                conda = "${projectDir}/environment.yaml"
            }
            shell = ['/bin/bash', '-euo', 'pipefail']
        }
        conda {
             cacheDir = ""
             useMamba = true
        }
    }

    awsbatch {
        process {
            executor = 'awsbatch'
            queue = "${params.aws_queue}"
            memory = '8G'
            withLabel:pysam {
                container = "${params.aws_image_prefix}-wf-template:${params.wfversion}"
            }
            shell = ['/bin/bash', '-euo', 'pipefail']
        }
    }
    aws.region = 'eu-west-1'
    aws.batch.cliPath = '/home/ec2-user/miniconda/bin/aws'
}


timeline {
  enabled = true
  file = "${params.out_dir}/execution/timeline.html"
}
report {
  enabled = true
  file = "${params.out_dir}/execution/report.html"
}
trace {
  enabled = true
  file = "${params.out_dir}/execution/trace.txt"
}
dag {
  enabled = true
  file = "${params.out_dir}/execution/pipeline.svg"
}