def test_launch_analysis(mock_analyze, mock_update, mock_get_engine):
mock_get_engine.return_value = {
'best_practice_analysis': 'wgs_germline',
'status': 'OPEN'
}
project = NGIProject('S.One_20_01', 'dir_P123', 'P123', '/some/path')
launch_analysis([project])
mock_analyze.assert_called_once()
def process_demultiplexed_flowcells(demux_fcid_dirs,
restrict_to_projects=None,
restrict_to_samples=None,
restart_failed_jobs=False,
restart_finished_jobs=False,
restart_running_jobs=False,
fallback_libprep=None,
keep_existing_data=False,
no_qc=False,
quiet=False,
manual=False,
config=None,
config_file_path=None,
generate_bqsr_bam=False):
"""Sort demultiplexed Illumina flowcells into projects and launch their analysis.
:param list demux_fcid_dirs: The CASAVA-produced demux directory/directories.
:param list restrict_to_projects: A list of projects; analysis will be
restricted to these. Optional.
:param list restrict_to_samples: A list of samples; analysis will be
restricted to these. Optional.
:param bool restart_failed_jobs: Restart jobs marked as "FAILED" in Charon.
:param bool restart_finished_jobs: Restart jobs marked as "DONE" in Charon.
:param bool restart_running_jobs: Restart jobs marked as running in Charon
:param str fallback_libprep: If libprep cannot be determined, use this value if supplied (default None)
:param bool keep_existing_data: Keep existing analysis data when launching new jobs
:param bool quiet: Don't send notification emails; added to config
:param bool manual: This is being run from a user script; added to config
:param dict config: The parsed NGI configuration file; optional.
:param str config_file_path: The path to the NGI configuration file; optional.
"""
if not restrict_to_projects: restrict_to_projects = []
if not restrict_to_samples: restrict_to_samples = []
projects_to_analyze = organize_projects_from_flowcell(
demux_fcid_dirs=demux_fcid_dirs,
restrict_to_projects=restrict_to_projects,
restrict_to_samples=restrict_to_samples,
fallback_libprep=fallback_libprep,
quiet=quiet,
config=config)
for project in projects_to_analyze:
if UPPSALA_PROJECT_RE.match(project.project_id):
LOG.info(
'Creating Charon records for Uppsala project "{}" if they '
'are missing'.format(project))
create_charon_entries_from_project(project,
sequencing_facility="NGI-U")
launch_analysis(projects_to_analyze,
restart_failed_jobs,
restart_finished_jobs,
restart_running_jobs,
keep_existing_data=keep_existing_data,
no_qc=no_qc,
config=config,
generate_bqsr_bam=generate_bqsr_bam)
def process_demultiplexed_flowcells(demux_fcid_dirs, restrict_to_projects=None,
restrict_to_samples=None, restart_failed_jobs=False,
restart_finished_jobs=False, restart_running_jobs=False,
config=None, config_file_path=None, quiet=False, manual=False):
"""Sort demultiplexed Illumina flowcells into projects and launch their analysis.
:param list demux_fcid_dirs: The CASAVA-produced demux directory/directories.
:param list restrict_to_projects: A list of projects; analysis will be
restricted to these. Optional.
:param list restrict_to_samples: A list of samples; analysis will be
restricted to these. Optional.
:param bool restart_failed_jobs: Restart jobs marked as "FAILED" in Charon.
:param bool restart_finished_jobs: Restart jobs marked as "DONE" in Charon.
:param dict config: The parsed NGI configuration file; optional.
:param str config_file_path: The path to the NGI configuration file; optional.
"""
if not restrict_to_projects: restrict_to_projects = []
if not restrict_to_samples: restrict_to_samples = []
demux_fcid_dirs_set = set(demux_fcid_dirs)
# Sort/copy each raw demux FC into project/sample/fcid format -- "analysis-ready"
projects_to_analyze = dict()
for demux_fcid_dir in demux_fcid_dirs_set:
demux_fcid_dir = os.path.abspath(demux_fcid_dir)
# These will be a bunch of Project objects each containing Samples, FCIDs, lists of fastq files
projects_to_analyze = setup_analysis_directory_structure(demux_fcid_dir,
projects_to_analyze,
restrict_to_projects,
restrict_to_samples,
create_files=True,
config=config,
quiet=quiet)
if not projects_to_analyze:
if restrict_to_projects:
error_message = ("No projects found to process: the specified flowcells "
"({fcid_dirs}) do not contain the specified project(s) "
"({restrict_to_projects}) or there was an error "
"gathering required information.").format(
fcid_dirs=",".join(demux_fcid_dirs_set),
restrict_to_projects=",".join(restrict_to_projects))
else:
error_message = ("No projects found to process in flowcells {} "
"or there was an error gathering required "
"information.".format(",".join(demux_fcid_dirs_set)))
raise RuntimeError(error_message)
else:
projects_to_analyze = projects_to_analyze.values()
for project in projects_to_analyze:
if UPPSALA_PROJECT_RE.match(project.project_id):
LOG.info('Creating Charon records for Uppsala project "{}" if they '
'are missing'.format(project))
create_charon_entries_from_project(project, sequencing_facility="NGI-U")
launch_analysis(projects_to_analyze, restart_failed_jobs, restart_finished_jobs,
restart_running_jobs, config=config)
def test_launch_analysis(self, process_tracking_mock,
charon_session_classes_mock,
charon_session_launchers_mock):
charon_classes_mock = charon_session_classes_mock.return_value
charon_classes_mock.project_get.return_value = {
"best_practice_analysis":
list(self.config["analysis"]["best_practice_analysis"].keys())[0]
}
charon_launchers_mock = charon_session_launchers_mock.return_value
charon_launchers_mock.project_get.return_value = {"status": "OPEN"}
with mock.patch("ngi_pipeline.engines.sarek.analyze") as analyze_mock:
project_obj = self.projects[0]
launch_analysis([project_obj], config=self.config, no_qc=True)
process_tracking_mock.assert_called_once()
analyze_mock.assert_called_once()
called_args = analyze_mock.call_args[0]
self.assertEqual(project_obj, called_args[0].project)
def process_demultiplexed_flowcells(demux_fcid_dirs, restrict_to_projects=None,
restrict_to_samples=None, restart_failed_jobs=False,
restart_finished_jobs=False, restart_running_jobs=False,
fallback_libprep=None, keep_existing_data=False, no_qc=False,
quiet=False, manual=False, config=None, config_file_path=None,
generate_bqsr_bam=False):
"""Sort demultiplexed Illumina flowcells into projects and launch their analysis.
:param list demux_fcid_dirs: The CASAVA-produced demux directory/directories.
:param list restrict_to_projects: A list of projects; analysis will be
restricted to these. Optional.
:param list restrict_to_samples: A list of samples; analysis will be
restricted to these. Optional.
:param bool restart_failed_jobs: Restart jobs marked as "FAILED" in Charon.
:param bool restart_finished_jobs: Restart jobs marked as "DONE" in Charon.
:param bool restart_running_jobs: Restart jobs marked as running in Charon
:param str fallback_libprep: If libprep cannot be determined, use this value if supplied (default None)
:param bool keep_existing_data: Keep existing analysis data when launching new jobs
:param bool quiet: Don't send notification emails; added to config
:param bool manual: This is being run from a user script; added to config
:param dict config: The parsed NGI configuration file; optional.
:param str config_file_path: The path to the NGI configuration file; optional.
"""
if not restrict_to_projects: restrict_to_projects = []
if not restrict_to_samples: restrict_to_samples = []
projects_to_analyze = organize_projects_from_flowcell(demux_fcid_dirs=demux_fcid_dirs,
restrict_to_projects=restrict_to_projects,
restrict_to_samples=restrict_to_samples,
fallback_libprep=fallback_libprep,
quiet=quiet, config=config)
for project in projects_to_analyze:
if UPPSALA_PROJECT_RE.match(project.project_id):
LOG.info('Creating Charon records for Uppsala project "{}" if they '
'are missing'.format(project))
create_charon_entries_from_project(project, sequencing_facility="NGI-U")
launch_analysis(projects_to_analyze, restart_failed_jobs, restart_finished_jobs,
restart_running_jobs, keep_existing_data=keep_existing_data,
no_qc=no_qc, config=config, generate_bqsr_bam=generate_bqsr_bam)
## Analyze Project
if 'analyze_project_dirs' in args:
for analyze_project_dir in args.analyze_project_dirs:
try:
project_dir = locate_project(analyze_project_dir)
except ValueError as e:
LOG.error(e)
continue
project_obj = \
recreate_project_from_filesystem(project_dir=project_dir,
restrict_to_samples=args.restrict_to_samples)
launchers.launch_analysis(
[project_obj],
restart_failed_jobs=args.restart_failed_jobs,
restart_finished_jobs=args.restart_finished_jobs,
restart_running_jobs=args.restart_running_jobs,
no_qc=args.no_qc,
quiet=args.quiet,
manual=True)
## QC Project
elif 'qc_project_dirs' in args:
for qc_project_dir in args.qc_project_dirs:
project = recreate_project_from_filesystem(
project_dir=qc_project_dir,
restrict_to_samples=args.restrict_to_samples)
if not project.samples:
LOG.info('No samples found for project {} (path {})'.format(
project.project_id, qc_project_dir))
for sample in project:
qc_ngi.launchers.analyze(project, sample, quiet=args.quiet)
def process_demultiplexed_flowcells(demux_fcid_dirs,
restrict_to_projects=None,
restrict_to_samples=None,
restart_failed_jobs=False,
restart_finished_jobs=False,
restart_running_jobs=False,
config=None,
config_file_path=None,
quiet=False,
manual=False):
"""Sort demultiplexed Illumina flowcells into projects and launch their analysis.
:param list demux_fcid_dirs: The CASAVA-produced demux directory/directories.
:param list restrict_to_projects: A list of projects; analysis will be
restricted to these. Optional.
:param list restrict_to_samples: A list of samples; analysis will be
restricted to these. Optional.
:param bool restart_failed_jobs: Restart jobs marked as "FAILED" in Charon.
:param bool restart_finished_jobs: Restart jobs marked as "DONE" in Charon.
:param dict config: The parsed NGI configuration file; optional.
:param str config_file_path: The path to the NGI configuration file; optional.
"""
if not restrict_to_projects: restrict_to_projects = []
if not restrict_to_samples: restrict_to_samples = []
demux_fcid_dirs_set = set(demux_fcid_dirs)
# Sort/copy each raw demux FC into project/sample/fcid format -- "analysis-ready"
projects_to_analyze = dict()
for demux_fcid_dir in demux_fcid_dirs_set:
demux_fcid_dir = os.path.abspath(demux_fcid_dir)
# These will be a bunch of Project objects each containing Samples, FCIDs, lists of fastq files
projects_to_analyze = setup_analysis_directory_structure(
demux_fcid_dir,
projects_to_analyze,
restrict_to_projects,
restrict_to_samples,
create_files=True,
config=config,
quiet=quiet)
if not projects_to_analyze:
if restrict_to_projects:
error_message = (
"No projects found to process: the specified flowcells "
"({fcid_dirs}) do not contain the specified project(s) "
"({restrict_to_projects}) or there was an error "
"gathering required information.").format(
fcid_dirs=",".join(demux_fcid_dirs_set),
restrict_to_projects=",".join(restrict_to_projects))
else:
error_message = ("No projects found to process in flowcells {} "
"or there was an error gathering required "
"information.".format(
",".join(demux_fcid_dirs_set)))
raise RuntimeError(error_message)
else:
projects_to_analyze = projects_to_analyze.values()
for project in projects_to_analyze:
if UPPSALA_PROJECT_RE.match(project.project_id):
LOG.info(
'Creating Charon records for Uppsala project "{}" if they '
'are missing'.format(project))
create_charon_entries_from_project(project,
sequencing_facility="NGI-U")
launch_analysis(projects_to_analyze,
restart_failed_jobs,
restart_finished_jobs,
restart_running_jobs,
config=config)
elif "analyze_project_dirs" in args:
for analyze_project_dir in args.analyze_project_dirs:
try:
project_dir = locate_project(analyze_project_dir)
except ValueError as e:
LOG.error(e)
continue
project_obj = recreate_project_from_filesystem(
project_dir=project_dir, restrict_to_samples=args.restrict_to_samples
)
launchers.launch_analysis(
[project_obj],
restart_failed_jobs=args.restart_failed_jobs,
restart_finished_jobs=args.restart_finished_jobs,
restart_running_jobs=args.restart_running_jobs,
keep_existing_data=args.keep_existing_data,
no_qc=args.no_qc,
quiet=args.quiet,
manual=True,
generate_bqsr_bam=args.generate_bqsr_bam,
)
elif "delete_proj_analysis" in args:
from ngi_pipeline.conductor.launchers import get_engine_for_bp
delete_proj_analysis_list = list(set(args.delete_proj_analysis))
for delete_proj_analysis in delete_proj_analysis_list:
if args.restrict_to_samples:
try:
project_dir = locate_project(delete_proj_analysis)
except ValueError as e:
args.restrict_to_samples,
args.restart_failed_jobs,
args.restart_finished_jobs,
args.restart_running_jobs,
quiet=args.quiet,
manual=True)
### TODO change to work with multiple projects
elif 'analyze_project_dir' in args:
project = recreate_project_from_filesystem(project_dir=args.analyze_project_dir,
restrict_to_samples=args.restrict_to_samples)
if project and os.path.split(project.base_path)[1] == "DATA":
project.base_path = os.path.split(project.base_path)[0]
launchers.launch_analysis([project],
restart_failed_jobs=args.restart_failed_jobs,
restart_finished_jobs=args.restart_finished_jobs,
restart_running_jobs=args.restart_running_jobs,
quiet=args.quiet,
manual=True)
elif 'organize_fc_dirs' in args:
if args.force_update: args.force_update = validate_force_update()
if args.delete_existing: args.delete_existing = validate_delete_existing()
if not args.restrict_to_projects: args.restrict_to_projects = []
if not args.restrict_to_samples: args.restrict_to_samples = []
organize_fc_dirs_set = set(args.organize_fc_dirs)
projects_to_analyze = dict()
## NOTE this bit of code not currently in use but could use later
#if args.already_parsed: # Starting from Project/Sample/Libprep/Seqrun tree format
# for organize_fc_dir in organize_fc_dirs_set:
# p = recreate_project_from_filesystem(organize_fc_dir,
# force_create_project=args.force_create_project)
## Analyze Project
elif 'analyze_project_dirs' in args:
for analyze_project_dir in args.analyze_project_dirs:
try:
project_dir = locate_project(analyze_project_dir)
except ValueError as e:
LOG.error(e)
continue
project_obj = \
recreate_project_from_filesystem(project_dir=project_dir,
restrict_to_samples=args.restrict_to_samples)
launchers.launch_analysis([project_obj],
restart_failed_jobs=args.restart_failed_jobs,
restart_finished_jobs=args.restart_finished_jobs,
restart_running_jobs=args.restart_running_jobs,
keep_existing_data=args.keep_existing_data,
no_qc=args.no_qc,
quiet=args.quiet,
manual=True,
generate_bqsr_bam=args.generate_bqsr_bam)
elif 'delete_proj_analysis' in args:
from ngi_pipeline.conductor.launchers import get_engine_for_bp
delete_proj_analysis_list = list(set(args.delete_proj_analysis))
for delete_proj_analysis in delete_proj_analysis_list:
if args.restrict_to_samples:
try:
project_dir = locate_project(delete_proj_analysis)
except ValueError as e:
LOG.error(e)
continue
