Remove meta clone everywhere for improved resume stability

CHANGELOG.md

@@ -34,6 +34,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - [#313](https://github.com/nf-core/taxprofiler/pull/304) Fix pipeline not providing error when database sheet does not have a header (♥ to @noah472 for reporting, fix by @jfy133)
 - [#330](https://github.com/nf-core/taxprofiler/pull/330) Added better tagging to allow disambiguation of Kraken2 steps of Kraken2 vs Bracken (♥ to @MajoroMask for requesting, added by @jfy133)
 - [#334](https://github.com/nf-core/taxprofiler/pull/334) Increase the memory of the FALCO process to 4GB (fix by @LilyAnderssonLee)
+- Improved meta map stability for more robust pipeline resuming (fix by @jfy133)
 
 ### `Dependencies`
 

subworkflows/local/profiling.nf

@@ -64,7 +64,6 @@ workflow PROFILING {
 
     if ( params.run_malt ) {
 
-
         // MALT: We groupTuple to have all samples in one channel for MALT as database
         // loading takes a long time, so we only want to run it once per database
         ch_input_for_malt =  ch_input_for_profiling.malt
@@ -75,17 +74,12 @@ workflow PROFILING {
                     // as we don't run run on a per-sample basis due to huge datbaases
                     // so all samples are in one run and so sample-specific metadata
                     // unnecessary. Set as database name to prevent `null` job ID and prefix.
-                    def temp_meta = [ id: meta.db_name ]
+                    def temp_meta = [ id: db_meta.db_name ]
+                    def new_meta = db_meta + temp_meta
 
                     // Extend database parameters to specify whether to save alignments or not
-                    def new_db_meta = db_meta.clone()
                     def sam_format = params.malt_save_reads ? ' --alignments ./ -za false' : ""
-                    new_db_meta.db_params = db_meta.db_params + sam_format
-
-                    // Combine reduced sample metadata with updated database parameters metadata,
-                    // make sure id is db_name for publishing purposes.
-                    def new_meta = temp_meta + new_db_meta
-                    new_meta.id = new_meta.db_name
+                    new_meta.db_params = db_meta.db_params + sam_format
 
                     [ new_meta, reads, db ]
 
@@ -106,9 +100,8 @@ workflow PROFILING {
                                             // re-extract meta from file names, use filename without rma to
                                             // ensure we keep paired-end information in downstream filenames
                                             // when no pair-merging
-                                            def meta_new = meta.clone()
-                                            meta_new['db_name'] = meta.id
-                                            meta_new['id'] = rma.baseName
+                                            def meta_new = meta + [db_name: meta.id, id: rma.baseName]
+
                                         [ meta_new, rma ]
                                 }
 
@@ -127,16 +120,15 @@ workflow PROFILING {
         ch_input_for_kraken2 = ch_input_for_profiling.kraken2
                                 .map {
                                     meta, reads, db_meta, db ->
-                                        def db_meta_new = db_meta.clone()
 
-                                        // Only take second element if one exists
-                                        def parsed_params = db_meta_new['db_params'].split(";")
+                                        // Only take first element if one exists
+                                        def parsed_params = db_meta['db_params'].split(";")
                                         if ( parsed_params.size() == 2 ) {
-                                            db_meta_new['db_params'] = parsed_params[0]
+                                            db_meta_new = db_meta + [db_params: parsed_params[0]]
                                         } else if ( parsed_params.size() == 0 ) {
-                                            db_meta_new['db_params'] = ""
+                                            db_meta_new = db_meta + [db_params: ""]
                                         } else {
-                                            db_meta_new['db_params'] = parsed_params[0]
+                                            db_meta_new = db_meta + [db_params: parsed_params[0]]
                                         }
 
                                     [ meta, reads, db_meta_new, db ]
@@ -186,18 +178,24 @@ workflow PROFILING {
             .map {
 
                 key, meta, reads, db_meta, db ->
-                    def db_meta_new = db_meta.clone()
+
+                    // // Have to make a completely fresh copy here as otherwise
+                    // // was getting db_param loss due to upstream meta parsing at
+                    // // kraken2 input channel manipulation step
+                    def db_meta_keys = db_meta.keySet()
+                    def db_meta_new = db_meta.subMap(db_meta_keys)
 
                     // Have to pick second element if using bracken, as first element
                     // contains kraken parameters
                     if ( db_meta.tool == 'bracken' ) {
 
                         // Only take second element if one exists
-                        def parsed_params = db_meta_new['db_params'].split(";")
+                        def parsed_params = db_meta['db_params'].split(";")
+
                         if ( parsed_params.size() == 2 ) {
-                            db_meta_new['db_params'] =  parsed_params[1]
+                            db_meta_new = db_meta + [ db_params: parsed_params[1] ]
                         } else {
-                            db_meta_new['db_params'] = ""
+                            db_meta_new = db_meta + [ db_params: "" ]
                         }
 
                     } else {

subworkflows/local/shortread_fastp.nf

@@ -28,8 +28,7 @@ workflow SHORTREAD_FASTP {
         ch_fastp_reads_prepped_pe = FASTP_PAIRED.out.reads_merged
                                         .map {
                                             meta, reads ->
-                                                def meta_new = meta.clone()
-                                                meta_new['single_end'] = true
+                                                def meta_new = meta + [single_end: true]
                                                 [ meta_new, [ reads ].flatten() ]
                                         }
 

workflows/taxprofiler.nf

@@ -209,8 +209,7 @@ workflow TAXPROFILER {
             .mix( ch_longreads_hostremoved )
             .map {
                 meta, reads ->
-                    def meta_new = meta.clone()
-                    meta_new.remove('run_accession')
+                    def meta_new = meta - meta.subMap('run_accession')
                     [ meta_new, reads ]
             }
             .groupTuple()