def collect_files_for_sample_analysis(project_obj, sample_obj,
restart_finished_jobs=False):
"""This function finds all data files relating to a sample and
follows a preset decision path to decide which of them to include in
a sample-level analysis. This can include fastq files, bam files, and
alignment-qc-level files.
"""
### FASTQ
# Access the filesystem to determine what fastq files are available
# For each file, validate it.
# This funtion goes into Charon and finds all valid libpreps and seqruns,
# dvs libpreps for which 'qc' != "FAILED"
# and seqruns for which 'alignment_status' != "DONE"
valid_libprep_seqruns = get_valid_seqruns_for_sample(project_id=project_obj.project_id,
sample_id=sample_obj.name,
include_failed_libpreps=False,
include_done_seqruns=restart_finished_jobs)
if not valid_libprep_seqruns: LOG.error("Notify user or whatever. I don't know.")
# Now we find all fastq files that are available and validate them against
# the group compiled in the previous step (get_valid_seqruns_for_sample)
# We're going to recreate NGIProject/NGISample/NGILibraryPrep/NGISeqrun objects here
sample_data_directory = os.path.join(project_obj.base_path, "DATA",
project_obj.dirname, sample_obj.dirname)
fastq_files_on_filesystem = fastq_files_under_dir(sample_data_directory, realpath=False)
if not fastq_files_on_filesystem: LOG.error("TODO raise an error or something")
fastq_files_to_analyze = []
# Create a new NGIProject object (the old one could still be in use elsewhere)
# Fix this later I've been coding for too long
proj_obj = NGIProject(project_obj.name, project_obj.dirname,
project_obj.project_id, project_obj.base_path)
sample_obj = proj_obj.add_sample(sample_obj.name, sample_obj.dirname)
for fastq_path in fastq_files_on_filesystem:
base_path, fastq = os.path.split(fastq_path)
if not fastq:
base_path, fastq = os.path.split(base_path) # Handles trailing slash
base_path, fs_seqrun_name = os.path.split(base_path)
base_path, fs_libprep_name = os.path.split(base_path)
if fs_libprep_name not in valid_libprep_seqruns.keys():
# Invalid library prep, skip this fastq file
continue
elif fs_seqrun_name not in valid_libprep_seqruns.get(fs_libprep_name, []):
continue
else:
libprep_obj = sample_obj.add_libprep(name=fs_libprep_name, dirname=fs_libprep_name)
seqrun_obj = libprep_obj.add_seqrun(name=fs_seqrun_name, dirname=fs_seqrun_name)
seqrun_obj.add_fastq_files(fastq)
### BAM / ALIGNMENT QC
# Access the filesystem to determine which alignment (bam) files are available.
# If there are any, add them to the list of files to include in the new analysis.
# Include alignment qc files.
project_analysis_dir = os.path.join(project_obj.base_path, "ANALYSIS", project_obj.dirname)
project_aln_dir = os.path.join(project_analysis_dir, "01_raw_alignments")
project_alnqc_dir = os.path.join(project_analysis_dir, "02_preliminary_alignment_qc")
sample_analysis_file_pattern = "{sample_name}.*.{sample_name}.*".format(sample_name=sample_obj.name)
aln_files_to_copy = glob.glob(os.path.join(project_aln_dir, sample_analysis_file_pattern))
qc_files_to_copy = glob.glob(os.path.join(project_alnqc_dir, sample_analysis_file_pattern))
return (proj_obj, aln_files_to_copy, qc_files_to_copy)
def collect_files_for_sample_analysis(project_obj, sample_obj,
restart_finished_jobs=False,
status_field="alignment_status"):
"""This function finds all data files relating to a sample and
follows a preset decision path to decide which of them to include in
a sample-level analysis. This can include fastq files, bam files, and
alignment-qc-level files.
Doesn't modify existing project or sample objects; returns new copies.
:param NGIProject project_obj: The NGIProject object to process
:param NGISample sample_obj: The NGISample object to process
:param bool restart_finished_jobs: Include jobs marked as "DONE" (default False)
:param str status_field: Which Charon status field to check (alignment, genotype)
:returns: A new NGIProject object, a list of alignment and qc files
:rtype: NGIProject, list, list
:raises ValueError: If there are no valid libpreps, seqruns, or fastq files
"""
### FASTQ
# Access the filesystem to determine what fastq files are available
# For each file, validate it.
# This funtion goes into Charon and finds all valid libpreps and seqruns,
# dvs libpreps for which 'qc' != "FAILED"
# and seqruns for which 'alignment_status' != "DONE"
valid_libprep_seqruns = \
get_valid_seqruns_for_sample(project_id=project_obj.project_id,
sample_id=sample_obj.name,
include_failed_libpreps=False,
include_done_seqruns=restart_finished_jobs,
status_field=status_field)
if not valid_libprep_seqruns:
raise ValueError('No valid libpreps/seqruns found for project/sample '
'"{}/{}"'.format(project_obj, sample_obj))
# Now we find all fastq files that are available and validate them against
# the group compiled in the previous step (get_valid_seqruns_for_sample)
# We're going to recreate NGIProject/NGISample/NGILibraryPrep/NGISeqrun objects here
sample_data_directory = os.path.join(project_obj.base_path, "DATA",
project_obj.dirname, sample_obj.dirname)
fastq_files_on_filesystem = fastq_files_under_dir(sample_data_directory, realpath=False)
if not fastq_files_on_filesystem:
raise ValueError('No valid fastq files found for project/sample '
'{}/{}'.format(project_obj, sample_obj))
# Create a new NGIProject object (the old one could still be in use elsewhere)
proj_obj = NGIProject(project_obj.name, project_obj.dirname,
project_obj.project_id, project_obj.base_path)
sample_obj = proj_obj.add_sample(sample_obj.name, sample_obj.dirname)
for fastq_path in fastq_files_on_filesystem:
base_path, fastq = os.path.split(fastq_path)
if not fastq:
base_path, fastq = os.path.split(base_path) # Handles trailing slash
base_path, fs_seqrun_name = os.path.split(base_path)
base_path, fs_libprep_name = os.path.split(base_path)
if fs_libprep_name not in valid_libprep_seqruns.keys():
# Invalid library prep, skip this fastq file
continue
elif fs_seqrun_name not in valid_libprep_seqruns.get(fs_libprep_name, []):
continue
else:
libprep_obj = sample_obj.add_libprep(name=fs_libprep_name, dirname=fs_libprep_name)
seqrun_obj = libprep_obj.add_seqrun(name=fs_seqrun_name, dirname=fs_seqrun_name)
seqrun_obj.add_fastq_files(fastq)
### EXISTING DATA
# If we still have data here at this point, we'll copy it over. If we had
# decided to scrap it, it would have been deleted already.
files_to_copy = find_previous_sample_analyses(proj_obj, sample_obj)
return (proj_obj, files_to_copy)
def collect_files_for_sample_analysis(project_obj,
sample_obj,
restart_finished_jobs=False,
status_field="alignment_status"):
"""This function finds all data files relating to a sample and
follows a preset decision path to decide which of them to include in
a sample-level analysis. This can include fastq files, bam files, and
alignment-qc-level files.
Doesn't modify existing project or sample objects; returns new copies.
:param NGIProject project_obj: The NGIProject object to process
:param NGISample sample_obj: The NGISample object to process
:param bool restart_finished_jobs: Include jobs marked as "DONE" (default False)
:param str status_field: Which Charon status field to check (alignment, genotype)
:returns: A new NGIProject object, a list of alignment and qc files
:rtype: NGIProject, list, list
:raises ValueError: If there are no valid libpreps, seqruns, or fastq files
"""
### FASTQ
# Access the filesystem to determine what fastq files are available
# For each file, validate it.
# This funtion goes into Charon and finds all valid libpreps and seqruns,
# dvs libpreps for which 'qc' != "FAILED"
# and seqruns for which 'alignment_status' != "DONE"
valid_libprep_seqruns = \
get_valid_seqruns_for_sample(project_id=project_obj.project_id,
sample_id=sample_obj.name,
include_failed_libpreps=False,
include_done_seqruns=restart_finished_jobs,
status_field=status_field)
if not valid_libprep_seqruns:
raise ValueError('No valid libpreps/seqruns found for project/sample '
'"{}/{}"'.format(project_obj, sample_obj))
# Now we find all fastq files that are available and validate them against
# the group compiled in the previous step (get_valid_seqruns_for_sample)
# We're going to recreate NGIProject/NGISample/NGILibraryPrep/NGISeqrun objects here
sample_data_directory = os.path.join(project_obj.base_path, "DATA",
project_obj.dirname,
sample_obj.dirname)
fastq_files_on_filesystem = fastq_files_under_dir(sample_data_directory,
realpath=False)
if not fastq_files_on_filesystem:
raise ValueError('No valid fastq files found for project/sample '
'{}/{}'.format(project_obj, sample_obj))
# Create a new NGIProject object (the old one could still be in use elsewhere)
proj_obj = NGIProject(project_obj.name, project_obj.dirname,
project_obj.project_id, project_obj.base_path)
sample_obj = proj_obj.add_sample(sample_obj.name, sample_obj.dirname)
for fastq_path in fastq_files_on_filesystem:
base_path, fastq = os.path.split(fastq_path)
if not fastq:
base_path, fastq = os.path.split(
base_path) # Handles trailing slash
base_path, fs_seqrun_name = os.path.split(base_path)
base_path, fs_libprep_name = os.path.split(base_path)
if fs_libprep_name not in valid_libprep_seqruns.keys():
# Invalid library prep, skip this fastq file
continue
elif fs_seqrun_name not in valid_libprep_seqruns.get(
fs_libprep_name, []):
continue
else:
libprep_obj = sample_obj.add_libprep(name=fs_libprep_name,
dirname=fs_libprep_name)
seqrun_obj = libprep_obj.add_seqrun(name=fs_seqrun_name,
dirname=fs_seqrun_name)
seqrun_obj.add_fastq_files(fastq)
### EXISTING DATA
# If we still have data here at this point, we'll copy it over. If we had
# decided to scrap it, it would have been deleted already.
files_to_copy = find_previous_sample_analyses(proj_obj, sample_obj)
return (proj_obj, files_to_copy)
def collect_files_for_sample_analysis(project_obj,
sample_obj,
restart_finished_jobs=False):
"""This function finds all data files relating to a sample and
follows a preset decision path to decide which of them to include in
a sample-level analysis. This can include fastq files, bam files, and
alignment-qc-level files.
"""
### FASTQ
# Access the filesystem to determine what fastq files are available
# For each file, validate it.
# This funtion goes into Charon and finds all valid libpreps and seqruns,
# dvs libpreps for which 'qc' != "FAILED"
# and seqruns for which 'alignment_status' != "DONE"
valid_libprep_seqruns = get_valid_seqruns_for_sample(
project_id=project_obj.project_id,
sample_id=sample_obj.name,
include_failed_libpreps=False,
include_done_seqruns=restart_finished_jobs)
if not valid_libprep_seqruns:
LOG.error("Notify user or whatever. I don't know.")
# Now we find all fastq files that are available and validate them against
# the group compiled in the previous step (get_valid_seqruns_for_sample)
# We're going to recreate NGIProject/NGISample/NGILibraryPrep/NGISeqrun objects here
sample_data_directory = os.path.join(project_obj.base_path, "DATA",
project_obj.dirname,
sample_obj.dirname)
fastq_files_on_filesystem = fastq_files_under_dir(sample_data_directory,
realpath=False)
if not fastq_files_on_filesystem:
LOG.error("TODO raise an error or something")
fastq_files_to_analyze = []
# Create a new NGIProject object (the old one could still be in use elsewhere)
# Fix this later I've been coding for too long
proj_obj = NGIProject(project_obj.name, project_obj.dirname,
project_obj.project_id, project_obj.base_path)
sample_obj = proj_obj.add_sample(sample_obj.name, sample_obj.dirname)
for fastq_path in fastq_files_on_filesystem:
base_path, fastq = os.path.split(fastq_path)
if not fastq:
base_path, fastq = os.path.split(
base_path) # Handles trailing slash
base_path, fs_seqrun_name = os.path.split(base_path)
base_path, fs_libprep_name = os.path.split(base_path)
if fs_libprep_name not in valid_libprep_seqruns.keys():
# Invalid library prep, skip this fastq file
continue
elif fs_seqrun_name not in valid_libprep_seqruns.get(
fs_libprep_name, []):
continue
else:
libprep_obj = sample_obj.add_libprep(name=fs_libprep_name,
dirname=fs_libprep_name)
seqrun_obj = libprep_obj.add_seqrun(name=fs_seqrun_name,
dirname=fs_seqrun_name)
seqrun_obj.add_fastq_files(fastq)
### BAM / ALIGNMENT QC
# Access the filesystem to determine which alignment (bam) files are available.
# If there are any, add them to the list of files to include in the new analysis.
# Include alignment qc files.
project_analysis_dir = os.path.join(project_obj.base_path, "ANALYSIS",
project_obj.dirname)
project_aln_dir = os.path.join(project_analysis_dir, "01_raw_alignments")
project_alnqc_dir = os.path.join(project_analysis_dir,
"02_preliminary_alignment_qc")
sample_analysis_file_pattern = "{sample_name}.*.{sample_name}.*".format(
sample_name=sample_obj.name)
aln_files_to_copy = glob.glob(
os.path.join(project_aln_dir, sample_analysis_file_pattern))
qc_files_to_copy = glob.glob(
os.path.join(project_alnqc_dir, sample_analysis_file_pattern))
return (proj_obj, aln_files_to_copy, qc_files_to_copy)
