Remove hard coding of wf details from cleanup functions

CHANGELOG.rst

@@ -7,6 +7,14 @@ Change Log
 ------
 
 
+3.2.0
+=====
+
+* refactor of cleanup.py to get info about accepted workflow versions and run times from db and remove hard coded array
+* updated find_and_release notebook to utilize this - not backward compatible
+* corrected small bug in delete_wfr function that failed to cleanup errored or duplicated workflow runs on user submitted files as they are not outputs of wfrs
+
+
 3.1.1
 =====
 

functions/cleanup.py

@@ -1,63 +1,33 @@
 from dcicutils import ff_utils
 from datetime import datetime
 
-# accepted workflows
-# workflow name, accepted revision numbers (0 if none), accetable run time (hours)
-workflow_details = [
-    # TODO: take this info from foursight
-    # common ones
-    ['md5', ['0.0.4', '0.2.6'], 12],
-    ['fastqc-0-11-4-1', ['0.2.0'], 50],
-    ['fastqc', ['v1', 'v2'], 50],
-    # 4dn ones
-    ['bwa-mem', ['0.2.6'], 50],
-    ['pairsqc-single', ['0.2.5', '0.2.6'], 100],
-    ['hi-c-processing-bam', ['0.2.6'], 50],
-    ['hi-c-processing-pairs', ['0.2.6', '0.2.7'], 200],
-    ['hi-c-processing-pairs-nore', ['0.2.6'], 200],
-    ['hi-c-processing-pairs-nonorm', ['0.2.6'], 200],
-    ['hi-c-processing-pairs-nore-nonorm', ['0.2.6'], 200],
-    ['imargi-processing-fastq', ["1.1.1_dcic_4"], 200],
-    ['imargi-processing-bam', ["1.1.1_dcic_4"], 200],
-    ['imargi-processing-pairs', ["1.1.1_dcic_4"], 200],
-    ['repliseq-parta', ['v13.1', 'v14', 'v16', 'v16.1'], 200],
-    ['bedGraphToBigWig', ['v4'], 24],
-    ['bedtobeddb', ['v2', 'v3'], 24],
-    ['encode-chipseq-aln-chip', ['1.1.1', '2.1.6'], 200],
-    ['encode-chipseq-aln-ctl', ['1.1.1','2.1.6'], 200],
-    ['encode-chipseq-postaln', ['1.1.1','2.1.6'], 200],
-    ['encode-atacseq-aln', ['1.1.1'], 200],
-    ['encode-atacseq-postaln', ['1.1.1'], 200],
-    ['mergebed', ['v1'], 200],
-    ['merge-fastq', ['v1'], 200],
-    ['bamqc', ['v2', 'v3'], 200],
-    ['encode-rnaseq-stranded', ['1.1'], 200],
-    ['encode-rnaseq-unstranded', ['1.1'], 200],
-    ['rna-strandedness', ['v2'], 200],
-    ['fastq-first-line', ['v2'], 200],
-    ['re_checker_workflow', ['v1.1', 'v1.2'], 200],
-    ['mad_qc_workflow', ['1.1_dcic_2'], 200],
-    ['insulation-scores-and-boundaries-caller', ['v1'], 200],
-    ['compartments-caller', ['v1.2'], 200],
-    ['mcoolQC', ['v1'], 200],
-    # cgap ones
-    ['workflow_bwa-mem_no_unzip-check', ['v9', 'v10', 'v11', 'v12', 'v13'], 48],
-    ['workflow_add-readgroups-check', ['v9', 'v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_merge-bam-check', ['v9', 'v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_picard-MarkDuplicates-check', ['v9', 'v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_sort-bam-check', ['v9', 'v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_gatk-BaseRecalibrator', ['v9', 'v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_gatk-ApplyBQSR-check', ['v9', 'v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_index-sorted-bam', ['v9'], 12],
-    ['workflow_gatk-HaplotypeCaller', ['v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_gatk-CombineGVCFs', ['v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_gatk-GenotypeGVCFs-check', ['v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_gatk-VQSR-check', ['v10', 'v11', 'v12', 'v13'], 12],
-    ['workflow_qcboard-bam', ['v9'], 12],
-    ['workflow_cram2fastq', ['v12', 'v13'], 12],
-]
 
-workflow_names = [i[0] for i in workflow_details]
+# function to get workflow_details info from db
+# initial datastructure that is the same as that to get info for foursight is transformed
+# into the format used in the cleanup functions
+# workflow name, accepted revision numbers (0 if none), accetable run time (hours)
+def get_workflow_details(my_auth):
+    wf_details = {}
+    wf_query = "search/?type=Workflow&tags=current&tags=accepted&field=max_runtime" \
+        "&app_name!=No value&app_version!=No value&field=app_name&field=app_version"
+    workflows = ff_utils.search_metadata(wf_query, my_auth)
+    for wf in workflows:
+        app_name = wf.get('app_name')
+        app_version = wf.get('app_version')
+        run_time = wf.get('max_runtime', 0)
+        wf_details.setdefault(app_name, {})
+        wf_details[app_name].setdefault('accepted_versions', []).append(app_version)
+        wf_details[app_name].setdefault('run_time', run_time)
+        # for unexpected case of different wf items with same app_name having
+        # different run times - use max value
+        if run_time > wf_details[app_name].get('run_time'):
+            wf_details[app_name]['run_time'] = run_time
+    # here is the transformation
+    # workflow_details = []
+    # for wfname, wf_info in wf_details.items():
+    #    workflow_details.append((wfname, wf_info.get('accepted_versions'), [], wf_info.get('run_time')))
+    return [(wfname, wf_details[wfname].get('accepted_versions', []), wf_details[wfname].get('run_time'))
+            for wfname in wf_details.keys()]
 
 
 def fetch_pf_associated(pf_id_or_dict, my_key):
@@ -116,19 +86,14 @@ def get_wfr_report(wfrs):
         # skip all style awsem runs
         try:
             wfr_type_base, wfr_version = wfr_type.strip().split(' ')
-        except:
+        except Exception:
             continue
         time_info = time_info.strip('on').strip()
         try:
             wfr_time = datetime.strptime(time_info, '%Y-%m-%d %H:%M:%S.%f')
         except ValueError:
             wfr_time = datetime.strptime(time_info, '%Y-%m-%d %H:%M:%S')
         run_hours = (datetime.utcnow() - wfr_time).total_seconds() / 3600
-        # try:
-        #     wfr_time = datetime.strptime(wfr_data['date_created'], '%Y-%m-%dT%H:%M:%S.%f+00:00')
-        # except ValueError:  # if it was exact second, no fraction is in value
-        #     print("wfr time bingo", wfr_uuid)
-        #     wfr_time = datetime.strptime(wfr_data['date_created'], '%Y-%m-%dT%H:%M:%S+00:00')
         output_files = wfr_data.get('output_files', None)
         output_uuids = []
         qc_uuids = []
@@ -158,7 +123,7 @@ def get_wfr_report(wfrs):
     return wfr_report
 
 
-def delete_wfrs(file_resp, my_key, delete=False, stash=None):
+def delete_wfrs(file_resp, my_key, workflow_details, delete=False, stash=None):
     # file_resp in embedded frame
     # stash: all related wfrs for file_resp
     deleted_wfrs = []  # reports WorkflowRun items deleted by this function
@@ -170,16 +135,13 @@ def delete_wfrs(file_resp, my_key, delete=False, stash=None):
     # do not delete output wfrs of control files
     output_wfrs = file_resp.get('workflow_run_outputs')
     if not output_wfrs:
-        if file_type == 'files-processed':
-            # user submtted processed files
-            return
-        else:
-            # raw files:
-            pass
+        # user submitted and raw files generally lack wfr_outputs but they can still have
+        # duplicate and errored runs so changed return (for file_processed) to pass for all
+        pass
     else:
         output_wfr = output_wfrs[0]
         wfr_type, _ = output_wfr['display_title'].split(' run ')
-        if wfr_type in ['encode-chipseq-aln-ctl 1.1.1', 'encode-chipseq-aln-ctl 2.1.6'] :
+        if wfr_type in ['encode-chipseq-aln-ctl 1.1.1', 'encode-chipseq-aln-ctl 2.1.6']:
             print('skipping control file for wfr check', file_resp['accession'])
             return
 
@@ -221,6 +183,7 @@ def _delete_action(wfr_to_del):
         return
 
     # CLEAN UP IF FILE IS DELETED
+    workflow_names = [wfinfo[0] for wfinfo in workflow_details]
     if file_resp['status'] == 'deleted':
         if file_resp.get('quality_metric'):
             if delete: