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checkpoints.nf
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checkpoints.nf
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import groovy.json.JsonBuilder
process accumulateCheckpoints {
label "wf_common"
cpus 1
memory "1 GB"
input:
path data
val metadata
path definitions
output:
path "checkpoints_${task.index}.json"
val metadata
path definitions
publishDir params.out_dir, mode: 'copy', overwrite: true, pattern: "checkpoints_${task.index}.json", saveAs: { 'checkpoints.json' }
script:
// If the data list is lenth 1 then nextflow makes it not a list
def data = data instanceof List ? data: [data]
// Set-up the output file
output = "checkpoints_${task.index}.json"
// The run metadata (sample sheet)
metaJson = new JsonBuilder(metadata).toPrettyString()
// The checkpoint data
checkpoint_data = data.getAt(0)
// Our 1st checkpoint will not have a checkpoints file created
// and the length of the data array wil be 1. Any subsequent checkpoint
// will have the data followed by all of the previous checkpoint files
// we need the last.
if (data.size() > 1) {
checkpoints_file = "--checkpoints_file ${data.getAt(-1)}"
} else {
checkpoints_file = ""
}
"""
echo '${metaJson}' > metadata.json
accumulate_checkpoints.py ${output} \
--output_definitions ${definitions} \
--checkpoint_data ${checkpoint_data} \
--metadata metadata.json \
${checkpoints_file}
"""
}
///////////////////////
// Workflow checkpoints
///////////////////////
process ingressCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), val(status)
output:
path "checkpoint_info.json", emit: checkpoint
script:
def files = status == 'complete' ? [ "sample-data" : "${meta.alias}/seqs.fastq.gz",
"read-stats-per-file": "${meta.alias}/fastcat_stats/per-file-stats.tsv",
"read-stats-per-read" : "${meta.alias}/fastcat_stats/per-read-stats.tsv.gz" ] : [ ]
// make our checkpoint data
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "reads",
status: "${status}",
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process alignmentCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), path(bam, stageAs: "bam/*"), path(bai, stageAs: "bai/*")
output:
path "checkpoint_info.json", emit: checkpoint
script:
def status = bam.fileName.name != "OPTIONAL_FILE" ? "complete" : "not-met"
def files = status == 'complete' ? [ "alignment": "${bam.fileName.name}", "alignment-index": "${bai.fileName.name}" ] : [ ]
// make our checkpoint data
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "alignment",
status: status,
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process assemblyCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), path(fasta)
output:
path "checkpoint_info.json", emit: checkpoint
script:
def status = fasta.name != "OPTIONAL_FILE" ? "complete" : "not-met"
def files = status == 'complete' ? [ "assembly": "${fasta}"] : [ ]
// make our checkpoint data
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "assembly",
status: status,
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process variantCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), val(status)
output:
path "checkpoint_info.json", emit: checkpoint
script:
def files = status == 'complete' ? [ "variants": "${meta.alias}.medaka.vcf.gz" ] : [ ]
// make our checkpoint data
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "variant-calling",
status: "${status}",
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process amrCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), val(status)
output:
path "checkpoint_info.json", emit: checkpoint
script:
def files = status == 'complete' ? [ "amr": "${meta.alias}_resfinder_results", "mlst": "${meta.alias}.mlst.json" ] : [ ]
// make our checkpoint data
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "amr",
status: "${status}",
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process annotationCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), val(status)
output:
path "checkpoint_info.json", emit: checkpoint
script:
def files = status == 'complete' ? [ "annotation": "${meta.alias}.prokka.gff" ] : [ ]
// make our checkpoint data
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "annotation",
status: "${status}",
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process perSampleReportingCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
tuple val(meta), val(status)
output:
path "checkpoint_info.json", emit: checkpoint
script:
def files = status == 'complete' ? [ "per-sample-report": "${meta.alias}-isolate-report.html" ] : [ ]
def checkpoint_data = [[
sample: "${meta.alias}",
checkpoint_name: "per-sample-report",
status: "${status}",
files: files
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}
process reportingCheckpoint {
label "wf_common"
cpus 1
memory "1 GB"
input:
path report
output:
path "checkpoint_info.json", emit: checkpoint
script:
String status = 'complete'
// make our checkpoint data
def checkpoint_data = [[
sample: "",
checkpoint_name: "reporting",
status: "complete",
files: [
"workflow-report": "${report}",
"workflow-results": "results.json"]
]]
checkJson = new JsonBuilder(checkpoint_data).toPrettyString()
"""
echo '$checkJson' > checkpoint_info.json
"""
}