fixes issue encountered during testing.

qp_klp/Protocol.py

@@ -118,8 +118,10 @@ def convert_raw_to_fastq(self):
         if 'TellReadJob' not in self.skip_steps:
             job.run(callback=self.job_callback)
 
-        self.pipeline.get_sample_ids()
-        failed_samples = []
+        # audit the results to determine which samples failed to convert
+        # properly. Append these to the failed-samples report and also
+        # return the list directly to the caller.
+        failed_samples = job.audit()
         if hasattr(self, 'fsr'):
             # NB 16S does not require a failed samples report and
             # it is not performed by SPP.
@@ -130,32 +132,35 @@ def convert_raw_to_fastq(self):
     def generate_sequence_counts(self):
         config = self.pipeline.get_software_configuration('tell-seq')
 
+        files_to_count_path = join(self.pipeline.output_path,
+                                   'files_to_count.txt')
+
+        with open(files_to_count_path, 'w') as f:
+            for root, _, files in walk(self.raw_fastq_files_path):
+                for _file in files:
+                    if self._determine_orientation(_file) in ['R1', 'R2']:
+                        print(join(root, _file), file=f)
+
         job = SeqCountsJob(self.pipeline.run_dir,
                            self.pipeline.output_path,
-                           self.pipeline.input_file_path,
                            config['queue'],
                            config['nodes'],
                            config['wallclock_time_in_minutes'],
                            config['normcount_mem_limit'],
                            config['modules_to_load'],
                            self.master_qiita_job_id,
-                           '',
-                           config['integrate_script_path'],
-                           self.pipeline.qiita_job_id)
+                           config['job_max_array_length'],
+                           files_to_count_path,
+                           self.pipeline.get_sample_sheet_path(),
+                           cores_per_task=config['tellread_cores'])
 
         if 'SeqCountsJob' not in self.skip_steps:
             job.run(callback=self.job_callback)
 
-        # audit the results to determine which samples failed to convert
-        # properly. Append these to the failed-samples report and also
-        # return the list directly to the caller.
-        failed_samples = job.audit_me(self.pipeline.get_sample_ids())
-        if hasattr(self, 'fsr'):
-            # NB 16S does not require a failed samples report and
-            # it is not performed by SPP.
-            self.fsr.write(failed_samples, job.__class__.__name__)
-
-        return failed_samples
+        # Do not add an entry to fsr because w/respect to counting, either
+        # all jobs are going to fail or none are going to fail. It's not
+        # likely that we're going to fail to count sequences for only some
+        # of the samples.
 
     def integrate_results(self):
         config = self.pipeline.get_software_configuration('tell-seq')
@@ -173,7 +178,6 @@ def integrate_results(self):
                              config['integrate_mem_limit'],
                              config['modules_to_load'],
                              self.master_qiita_job_id,
-                             "foo",
                              config['integrate_script_path'],
                              # NB: sample_index_list used may vary
                              # from project to project in the future.
@@ -224,7 +228,7 @@ def integrate_results(self):
         # audit the results to determine which samples failed to convert
         # properly. Append these to the failed-samples report and also
         # return the list directly to the caller.
-        failed_samples = job.audit_me(self.pipeline.get_sample_ids())
+        failed_samples = job.audit()
 
         if hasattr(self, 'fsr'):
             # NB 16S does not require a failed samples report and

qp_klp/TellseqMetagenomicWorkflow.py

@@ -101,10 +101,10 @@ def execute_pipeline(self):
         # This means fsr reports will be accurate even on restarts.
         self.convert_raw_to_fastq()
 
-        self.generate_sequence_counts()
-
         self.integrate_results()
 
+        self.generate_sequence_counts()
+
         self.update_status("Performing quality control", 2, 9)
         self.quality_control()
 

qp_klp/Workflows.py

@@ -584,6 +584,40 @@ def get_samples_in_qiita(cls, qclient, qiita_id):
 
         return (samples, tids)
 
+    @classmethod
+    def _determine_orientation(cls, file_name):
+        # aka forward, reverse, and indexed reads
+        orientations = ['R1', 'R2', 'I1', 'I2']
+
+        results = []
+
+        # assume orientation is always present in the file's name.
+        # assume that it is of one of the four forms above.
+        # assume that it is always the right-most occurance of the four
+        # orientations above.
+        # assume that orientation is encapsulated with either '_' or '.'
+        # e.g.: '_R1_', '.I2.'.
+        # assume users can and will include any or all of the four
+        # orientation as part of their filenames as well. e.g.:
+        # ABC_7_04_1776_R1_SRE_S3_L007_R2_001.trimmed.fastq.gz
+        for o in orientations:
+            variations = [f"_{o}_", f".{o}."]
+            for v in variations:
+                # rfind searches from the end of the string, rather than
+                # its beginning. It returns the position in the string
+                # where the substring begins.
+                results.append((file_name.rfind(v), o))
+
+        # the orientation will be the substring found with the maximum
+        # found value for pos. That is, it will be the substring that
+        # begins at the rightest most position in the file name.
+        results.sort(reverse=True)
+
+        pos, orientation = results[0]
+
+        # if no orientations were found, then return None.
+        return None if pos == -1 else orientation
+
     def _get_postqc_fastq_files(self, out_dir, project):
         af = None
         sub_folders = ['amplicon', 'filtered_sequences', 'trimmed_sequences']
@@ -599,11 +633,13 @@ def _get_postqc_fastq_files(self, out_dir, project):
                  'raw_reverse_seqs': []}
 
         for fastq_file in af:
-            if '_I1_' in fastq_file or '_I2_' in fastq_file:
+            _, file_name = split(fastq_file)
+            orientation = self._determine_orientation(file_name)
+            if orientation in ['I1', 'I2']:
                 files['raw_barcodes'].append(fastq_file)
-            elif '_R1_' in fastq_file:
+            elif orientation == 'R1':
                 files['raw_forward_seqs'].append(fastq_file)
-            elif '_R2_' in fastq_file:
+            elif orientation == 'R2':
                 files['raw_reverse_seqs'].append(fastq_file)
             else:
                 raise ValueError(f"Unrecognized file: {fastq_file}")

qp_klp/klp.py

@@ -106,6 +106,14 @@ def sequence_processing_pipeline(qclient, job_id, parameters, out_dir):
         user_input_file = parameters.pop('sample_sheet')
         lane_number = parameters.pop('lane_number')
 
+        if {'body', 'content_type', 'filename'} != set(user_input_file):
+            return False, None, ("This doesn't appear to be a valid sample "
+                                 "sheet or mapping file; please review.")
+        uif_path = out_path(user_input_file['filename'].replace(' ', '_'))
+        # save raw data to file
+        with open(uif_path, 'w') as f:
+            f.write(user_input_file['body'])
+
         # the run_identifier must be saved because it is not always preserved
         # in a dependable location downstream. The user input file must be
         # saved because it is always a unique name and it cannot be guaranteed
@@ -114,15 +122,7 @@ def sequence_processing_pipeline(qclient, job_id, parameters, out_dir):
         # the user_input file on the first run.
         restart_file_path = out_path('restart_me')
         with open(restart_file_path, 'w') as f:
-            f.write(f"{run_identifier}\n{user_input_file}")
-
-        if {'body', 'content_type', 'filename'} != set(user_input_file):
-            return False, None, ("This doesn't appear to be a valid sample "
-                                 "sheet or mapping file; please review.")
-        uif_path = out_path(user_input_file['filename'].replace(' ', '_'))
-        # save raw data to file
-        with open(uif_path, 'w') as f:
-            f.write(user_input_file['body'])
+            f.write(f"{run_identifier}\n{uif_path}")
 
     final_results_path = out_path('final_results')
     makedirs(final_results_path, exist_ok=True)

qp_klp/tests/test_workflows.py

@@ -12,6 +12,7 @@
 from os import environ, remove, getcwd
 import re
 from qp_klp.WorkflowFactory import WorkflowFactory
+from qp_klp.Workflows import Workflow
 from metapool import load_sample_sheet
 from collections import defaultdict
 from random import randint
@@ -890,3 +891,45 @@ def open_job_script(script_path):
         exp = open_job_script("qp_klp/tests/data/tellread_test.sbatch")
 
         self.assertEqual(obs, exp)
+
+    def test_foo(self):
+        test_names = [
+            # single additional occurance: R1
+            ("ABC_7_04_1776_R1_SRE_S3_L007_R1_001.trimmed.fastq.gz", "R1"),
+            ("ABC_7_04_1776_R1_SRE_S3_L007_R2_001.trimmed.fastq.gz", "R2"),
+            ("ABC_7_04_1776_R1_SRE_S3_L007_I1_001.trimmed.fastq.gz", "I1"),
+            ("ABC_7_04_1776_R1_SRE_S3_L007_I2_001.trimmed.fastq.gz", "I2"),
+
+            # test w/dots.
+            ("ABC_7_04_1776.R1.SRE_S3_L007.R1.001.trimmed.fastq.gz", "R1"),
+            ("ABC_7_04_1776.R1.SRE_S3_L007.R2.001.trimmed.fastq.gz", "R2"),
+            ("ABC_7_04_1776.R1.SRE_S3_L007.I1.001.trimmed.fastq.gz", "I1"),
+            ("ABC_7_04_1776.R1.SRE_S3_L007.I2.001.trimmed.fastq.gz", "I2"),
+
+            # single additional occurance: R2
+            ("ABC_7_04_1776_R2_SRE_S3_L007_R1_001.trimmed.fastq.gz", "R1"),
+            ("ABC_7_04_1776_R2_SRE_S3_L007_R2_001.trimmed.fastq.gz", "R2"),
+            ("ABC_7_04_1776_R2_SRE_S3_L007_I1_001.trimmed.fastq.gz", "I1"),
+            ("ABC_7_04_1776_R2_SRE_S3_L007_I2_001.trimmed.fastq.gz", "I2"),
+
+            # single additional occurance: In
+            ("ABC_7_04_1776_I2_SRE_S3_L007_R1_001.trimmed.fastq.gz", "R1"),
+            ("ABC_7_04_1776_I1_SRE_S3_L007_R2_001.trimmed.fastq.gz", "R2"),
+            ("ABC_7_04_1776_I2_SRE_S3_L007_I1_001.trimmed.fastq.gz", "I1"),
+            ("ABC_7_04_1776_I1_SRE_S3_L007_I2_001.trimmed.fastq.gz", "I2"),
+
+            # no additional occurances
+            ("ABC_7_04_1776_SRE_S3_L007_R1_001.trimmed.fastq.gz", "R1"),
+            ("ABC_7_04_1776_SRE_S3_L007_R2_001.trimmed.fastq.gz", "R2"),
+            ("ABC_7_04_1776_SRE_S3_L007_I1_001.trimmed.fastq.gz", "I1"),
+            ("ABC_7_04_1776_SRE_S3_L007_I2_001.trimmed.fastq.gz", "I2"),
+
+            # two additional occurances
+            ("ABC_7_04_1776_I2_SRE.R1.S3_L007_R1_001.trimmed.fastq.gz", "R1"),
+            ("ABC_7_04_1776_I1_SRE.R1.S3_L007_R2_001.trimmed.fastq.gz", "R2"),
+            ("ABC_7_04_1776_I2_SRE.R1.S3_L007_I1_001.trimmed.fastq.gz", "I1"),
+            ("ABC_7_04_1776_I1_SRE.R1.S3_L007_I2_001.trimmed.fastq.gz", "I2"),
+        ]
+
+        for file_name, exp in test_names:
+            self.assertEqual(Workflow._determine_orientation(file_name), exp)