def run_hgap_prepare(input_files, output_files, options):
"""Generate a config-file from options.
"""
say('options to run_hgap_prepare:\n{}'.format(pprint.pformat(options)))
i_subreadset_fn, = input_files
o_hgap_cfg_fn, o_logging_cfg_fn, o_log_fn = output_files
run_dir = os.path.dirname(o_hgap_cfg_fn)
symlink(os.path.join(run_dir, 'stderr'), o_log_fn)
# This will be the cfg we pass to hgap_run.
all_cfg = collections.defaultdict(lambda: collections.defaultdict(str))
# Get grid options, for job-distribution.
update_for_grid(all_cfg, run_dir)
# Set some other falcon options, based on hgap options.
update_falcon(all_cfg)
# Override from pbsmrtpipe config/preset.xml.
all_cfg[OPTION_SECTION_FALCON]['genome_size'] = options[
TASK_HGAP_GENOME_LENGTH].strip()
all_cfg[OPTION_SECTION_FALCON]['length_cutoff'] = options[
TASK_HGAP_SEED_LENGTH_CUTOFF].strip()
all_cfg[OPTION_SECTION_FALCON]['seed_coverage'] = options[
TASK_HGAP_SEED_COVERAGE].strip()
cfg_json = options[TASK_HGAP_OPTIONS].strip()
if not cfg_json:
cfg_json = '{}'
override_cfg = json.loads(stricter_json(cfg_json))
update2(all_cfg, override_cfg)
# Get options from pbsmrtpipe.
pbsmrtpipe_opts = get_pbsmrtpipe_opts(run_dir)
if OPTION_SECTION_PBSMRTPIPE not in all_cfg:
all_cfg[OPTION_SECTION_PBSMRTPIPE] = dict()
pbsmrtpipe_opts.update(all_cfg[OPTION_SECTION_PBSMRTPIPE])
all_cfg[OPTION_SECTION_PBSMRTPIPE] = pbsmrtpipe_opts
# Dump all_cfg.
say('Dumping to {}'.format(repr(o_hgap_cfg_fn)))
dump_as_json(all_cfg, open(o_hgap_cfg_fn, 'w'))
# Get logging cfg.
logging_cfg = DEFAULT_LOGGING_CFG
# Dump logging cfg.
say('Dumping to {}'.format(repr(o_logging_cfg_fn)))
dump_as_json(logging_cfg, open(o_logging_cfg_fn, 'w'))
def run_hgap_prepare(input_files, output_files, options):
"""Generate a config-file from options.
"""
say('options to run_hgap_prepare:\n{}'.format(pprint.pformat(options)))
i_subreadset_fn, = input_files
o_hgap_cfg_fn, o_logging_cfg_fn, o_log_fn = output_files
run_dir = os.path.dirname(o_hgap_cfg_fn)
symlink(os.path.join(run_dir, 'stderr'), o_log_fn)
# This will be the cfg we pass to hgap_run.
all_cfg = collections.defaultdict(lambda: collections.defaultdict(str))
# Get grid options, for job-distribution.
update_for_grid(all_cfg, run_dir)
# Set some other falcon options, based on hgap options.
update_falcon(all_cfg)
# Override from pbsmrtpipe config/preset.xml.
all_cfg[OPTION_SECTION_FALCON]['genome_size'] = options[TASK_HGAP_GENOME_LENGTH].strip()
all_cfg[OPTION_SECTION_FALCON]['length_cutoff'] = options[TASK_HGAP_SEED_LENGTH_CUTOFF].strip()
all_cfg[OPTION_SECTION_FALCON]['seed_coverage'] = options[TASK_HGAP_SEED_COVERAGE].strip()
cfg_json = options[TASK_HGAP_OPTIONS].strip()
if not cfg_json:
cfg_json = '{}'
override_cfg = json.loads(stricter_json(cfg_json))
update2(all_cfg, override_cfg)
update_pwatcher(all_cfg)
# Get options from pbsmrtpipe.
pbsmrtpipe_opts = get_pbsmrtpipe_opts(run_dir)
if OPTION_SECTION_PBSMRTPIPE not in all_cfg:
all_cfg[OPTION_SECTION_PBSMRTPIPE] = dict()
pbsmrtpipe_opts.update(all_cfg[OPTION_SECTION_PBSMRTPIPE])
all_cfg[OPTION_SECTION_PBSMRTPIPE] = pbsmrtpipe_opts
# Dump all_cfg.
say('Dumping to {}'.format(repr(o_hgap_cfg_fn)))
dump_as_json(all_cfg, open(o_hgap_cfg_fn, 'w'))
# Get logging cfg.
logging_cfg = DEFAULT_LOGGING_CFG
# Dump logging cfg.
say('Dumping to {}'.format(repr(o_logging_cfg_fn)))
dump_as_json(logging_cfg, open(o_logging_cfg_fn, 'w'))
def run_falcon_build_rdb(input_files, output_files):
print("output_files: %s" % (repr(output_files)))
cwd = os.getcwd()
odir = os.path.realpath(os.path.abspath(os.path.dirname(output_files[0])))
if True: # debug
if cwd != odir:
raise Exception("%r != %r" % (cwd, odir))
i_json_config_fn, i_fofn_fn = input_files
print("output_files: %s" % repr(output_files))
run_daligner_jobs_fn, raw_reads_db_fn, job_done_fn = output_files
config = _get_config_from_json_fileobj(open(i_json_config_fn))
script_fn = os.path.join(odir, "prepare_rdb.sh") # implies run-dir too
# job_done_fn = os.path.join(odir, 'job.done') # not needed in pbsmrtpipe today tho
support.build_rdb(i_fofn_fn, config, job_done_fn, script_fn, run_daligner_jobs_fn)
run_cmd("bash %s" % script_fn, sys.stdout, sys.stderr, shell=False)
job_descs = falcon_kit.functional.get_daligner_job_descriptions(open(run_daligner_jobs_fn), "raw_reads")
# We do not bother to calculate 'single' b/c this is only a sanity-check.
if not job_descs:
raise Exception("No daligner jobs generated in '%s' by '%s'." % (run_daligner_jobs_fn, script_fn))
symlink("raw_reads.db", raw_reads_db_fn)
return 0
def symlink_dazzdb(actualdir, db_prefix):
"""Symlink elements of dazzler db.
For now, 3 files.
"""
symlink(os.path.join(actualdir, '.%s.bps'%db_prefix))
symlink(os.path.join(actualdir, '.%s.idx'%db_prefix))
symlink(os.path.join(actualdir, '%s.db'%db_prefix))
def run_hgap(input_files, output_files, tmpdir):
i_cfg_fn, i_logging_fn, i_subreadset_fn = input_files
o_contigset_fn, o_preass_json_fn, o_polass_json_fn, o_log_fn, = output_files
# Update the logging-cfg with our log-file.
logging_cfg = json.loads(open(i_logging_fn).read())
logging_cfg['handlers']['handler_file_all']['filename'] = o_log_fn
logging_fn = 'logging.json'
with open(logging_fn, 'w') as ofs:
ofs.write(json.dumps(logging_cfg))
# Update the cfg with our subreadset. (Inside hgap_run?)
# Run pypeflow.hgap.main.
cmd = 'TMPDIR={tmpdir} python -m pbfalcon.cli.hgap_run --logging {logging_fn} {i_cfg_fn}'.format(
**locals())
system(cmd)
# Write Reports
with open('run-falcon/0-rawreads/pre_assembly_stats.json'
) as stats_ifs: # by convention
with open(o_preass_json_fn, 'w') as report_ofs:
report_preassembly.write_report_from_stats(stats_ifs, report_ofs)
# Symlink expected outputs, by convention.
symlink('run-gc-gather/contigset.xml', o_contigset_fn)
symlink('run-polished-assembly-report/polished_assembly_report.json',
o_polass_json_fn)
return 0
def run_falcon_build_rdb(input_files, output_files):
print('output_files: %s' % (repr(output_files)))
cwd = os.getcwd()
odir = os.path.realpath(os.path.abspath(os.path.dirname(output_files[0])))
if True: #debug
if cwd != odir:
raise Exception('%r != %r' % (cwd, odir))
i_json_config_fn, i_fofn_fn = input_files
print('output_files: %s' % repr(output_files))
run_daligner_jobs_fn, raw_reads_db_fn, job_done_fn = output_files
config = _get_config_from_json_fileobj(open(i_json_config_fn))
script_fn = os.path.join(odir, 'prepare_rdb.sh') # implies run-dir too
#job_done_fn = os.path.join(odir, 'job.done') # not needed in pbsmrtpipe today tho
support.build_rdb(i_fofn_fn, config, job_done_fn, script_fn,
run_daligner_jobs_fn)
run_cmd('bash %s' % script_fn, sys.stdout, sys.stderr, shell=False)
job_descs = falcon_kit.functional.get_daligner_job_descriptions(
open(run_daligner_jobs_fn), 'raw_reads')
# We do not bother to calculate 'single' b/c this is only a sanity-check.
if not job_descs:
raise Exception("No daligner jobs generated in '%s' by '%s'." %
(run_daligner_jobs_fn, script_fn))
symlink('raw_reads.db', raw_reads_db_fn)
return 0
def create_merge_tasks(i_fofn_fn, run_jobs_fn, wd, db_prefix, config):
#merge_scripts = bash.scripts_merge(config, db_prefix, run_jobs_fn)
tasks = {} # pid -> (merge_params, cons_params)
mjob_data = {}
with open(run_jobs_fn) as f:
for l in f:
l = l.strip().split()
if l[0] not in ("LAsort", "LAmerge", "mv"):
continue
if l[0] == "LAsort":
# We now run this part w/ daligner, but we still need
# a small script for some book-keeping.
p_id = int(l[2].split(".")[1])
mjob_data.setdefault(p_id, [])
#mjob_data[p_id].append( " ".join(l) ) # Already done w/ daligner!
if l[0] == "LAmerge":
l2 = l[2].split(".")
if l2[1][0] == "L":
p_id = int(l[2].split(".")[2])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
else:
p_id = int(l[2].split(".")[1])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
if l[0] == "mv":
l2 = l[1].split(".")
if l2[1][0] == "L":
p_id = int(l[1].split(".")[2])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
else:
p_id = int(l[1].split(".")[1])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
# Could be L1.* or preads.*
re_las = re.compile(r'\.(\d*)(\.\d*)?\.las$')
for p_id in mjob_data:
s_data = mjob_data[p_id]
support.make_dirs("%s/preads" % (wd))
support.make_dirs("%s/las_files" % (wd))
merge_subdir = "m_%05d" % p_id
merge_dir = os.path.join(wd, merge_subdir)
support.make_dirs(merge_dir)
#merge_script_file = os.path.abspath( "%s/m_%05d/m_%05d.sh" % (wd, p_id, p_id) )
merge_script = StringIO.StringIO()
with cd(merge_dir):
print("i_fofn_fn=%r" % i_fofn_fn)
# Since we could be in the gather-task-dir, instead of globbing,
# we will read the fofn.
for fn in open(i_fofn_fn).read().splitlines():
basename = os.path.basename(fn)
mo = re_las.search(basename)
if not mo:
continue
left_block = int(mo.group(1))
if left_block != p_id:
# By convention, m_00005 merges L1.5.*.las, etc.
continue
symlink(fn)
for l in s_data:
print >> merge_script, l
las_bfn = '%s.%d.las' % (db_prefix, p_id)
#print >> merge_script, 'echo %s >| %s' %(las_bfn, merged_las_fofn_bfn)
#job_done = makePypeLocalFile(os.path.abspath( "%s/m_%05d/m_%05d_done" % (wd, p_id, p_id) ))
parameters = {
"script": merge_script.getvalue(),
"merge_subdir": merge_subdir,
"config": config
}
merge_task = parameters
fasta_bfn = "out.%05d.fasta" % p_id
out_file_fn = os.path.abspath("%s/preads/%s" % (wd, fasta_bfn))
#out_done = makePypeLocalFile(os.path.abspath( "%s/preads/c_%05d_done" % (wd, p_id) ))
parameters = {
"db_fn": '{}/{}'.format(os.getcwd(), db_prefix),
"las_fn":
'{}/{}/{}'.format(os.getcwd(), merge_subdir,
las_bfn), # assuming merge ran in merge_dir
"out_file_fn": out_file_fn,
#"out_done": out_done,
"config": config
}
cons_task = parameters
tasks[p_id] = (merge_task, cons_task, las_bfn, fasta_bfn)
return tasks
def run_hgap(input_files, output_files, tmpdir):
i_cfg_fn, i_logging_fn, i_subreadset_fn = input_files
o_preads_fasta_fn, \
o_polished_fasta_fn, o_polished_fastq_fn, o_polished_csv_fn, \
o_aligned_subreads_fn, o_alignment_summary_gff_fn, o_unmapped_subreads_txt_fn, \
o_contigset_fn, o_preass_json_fn, o_polass_json_fn, o_log_fn, = output_files
# Update the logging-cfg with our log-file.
logging_cfg = json.loads(open(i_logging_fn).read())
logging_cfg['handlers']['handler_file_all']['filename'] = o_log_fn
logging_fn = 'logging.json'
with open(logging_fn, 'w') as ofs:
ofs.write(json.dumps(logging_cfg))
# Update the cfg with our subreadset. (Inside hgap_run?)
# Run pypeflow.hgap.main.
cmd = 'TMPDIR={tmpdir} python -m pbfalcon.cli.hgap_run --logging {logging_fn} {i_cfg_fn}'.format(
**locals())
system(cmd)
# Write Reports
with open('run-falcon/0-rawreads/report/pre_assembly_stats.json'
) as stats_ifs: # by convention
with open(o_preass_json_fn, 'w') as report_ofs:
report_preassembly.write_report_from_stats(stats_ifs, report_ofs)
# Symlink expected outputs, by convention.
symlink('run-falcon/1-preads_ovl/db2falcon/preads4falcon.fasta',
o_preads_fasta_fn)
symlink('run-gc-gather/contigset.fasta', o_polished_fasta_fn)
symlink('run-gc-gather/gathered.fastq', o_polished_fastq_fn)
symlink('run-polished-assembly-report/polished_coverage_vs_quality.csv',
o_polished_csv_fn)
symlink('run-polished-assembly-report/alignment.summary.gff',
o_alignment_summary_gff_fn)
symlink('run-pbalign_gather/aligned.subreads.alignmentset.xml',
o_aligned_subreads_fn)
symlink('run-pbalign_gather/unmapped.txt', o_unmapped_subreads_txt_fn)
symlink('run-gc-gather/contigset.xml', o_contigset_fn)
symlink('run-polished-assembly-report/polished_assembly_report.json',
o_polass_json_fn)
return 0
def run_hgap(input_files, output_files, tmpdir):
i_cfg_fn, i_logging_fn, i_subreadset_fn = input_files
o_preads_fasta_fn, o_polished_fasta_fn, o_polished_fastq_fn, o_polished_csv_fn, o_aligned_subreads_fn, o_alignment_summary_gff_fn, o_unmapped_subreads_txt_fn, o_contigset_fn, o_preass_json_fn, o_polass_json_fn, o_log_fn, = (
output_files
)
# Update the logging-cfg with our log-file.
logging_cfg = json.loads(open(i_logging_fn).read())
logging_cfg["handlers"]["handler_file_all"]["filename"] = o_log_fn
logging_fn = "logging.json"
with open(logging_fn, "w") as ofs:
ofs.write(json.dumps(logging_cfg))
# Update the cfg with our subreadset. (Inside hgap_run?)
# Run pypeflow.hgap.main.
cmd = "TMPDIR={tmpdir} python -m pbfalcon.cli.hgap_run --logging {logging_fn} {i_cfg_fn}".format(**locals())
system(cmd)
# Write Reports
with open("run-falcon/0-rawreads/report/pre_assembly_stats.json") as stats_ifs: # by convention
with open(o_preass_json_fn, "w") as report_ofs:
report_preassembly.write_report_from_stats(stats_ifs, report_ofs)
# Symlink expected outputs, by convention.
symlink("run-falcon/1-preads_ovl/db2falcon/preads4falcon.fasta", o_preads_fasta_fn)
symlink("run-gc-gather/contigset.fasta", o_polished_fasta_fn)
symlink("run-gc-gather/gathered.fastq", o_polished_fastq_fn)
symlink("run-polished-assembly-report/polished_coverage_vs_quality.csv", o_polished_csv_fn)
symlink("run-polished-assembly-report/alignment.summary.gff", o_alignment_summary_gff_fn)
symlink("run-pbalign_gather/aligned.subreads.alignmentset.xml", o_aligned_subreads_fn)
symlink("run-pbalign_gather/unmapped.txt", o_unmapped_subreads_txt_fn)
symlink("run-gc-gather/contigset.xml", o_contigset_fn)
symlink("run-polished-assembly-report/polished_assembly_report.json", o_polass_json_fn)
return 0
def create_merge_tasks(i_fofn_fn, run_jobs_fn, wd, db_prefix, config):
# merge_scripts = bash.scripts_merge(config, db_prefix, run_jobs_fn)
tasks = {} # pid -> (merge_params, cons_params)
mjob_data = {}
with open(run_jobs_fn) as f:
for l in f:
l = l.strip().split()
if l[0] not in ("LAsort", "LAmerge", "mv"):
continue
if l[0] == "LAsort":
# We now run this part w/ daligner, but we still need
# a small script for some book-keeping.
p_id = int(l[2].split(".")[1])
mjob_data.setdefault(p_id, [])
# mjob_data[p_id].append( " ".join(l) ) # Already done w/ daligner!
if l[0] == "LAmerge":
l2 = l[2].split(".")
if l2[1][0] == "L":
p_id = int(l[2].split(".")[2])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
else:
p_id = int(l[2].split(".")[1])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
if l[0] == "mv":
l2 = l[1].split(".")
if l2[1][0] == "L":
p_id = int(l[1].split(".")[2])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
else:
p_id = int(l[1].split(".")[1])
mjob_data.setdefault(p_id, [])
mjob_data[p_id].append(" ".join(l))
# Could be L1.* or preads.*
re_las = re.compile(r"\.(\d*)(\.\d*)?\.las$")
for p_id in mjob_data:
s_data = mjob_data[p_id]
support.make_dirs("%s/preads" % (wd))
support.make_dirs("%s/las_files" % (wd))
merge_subdir = "m_%05d" % p_id
merge_dir = os.path.join(wd, merge_subdir)
support.make_dirs(merge_dir)
# merge_script_file = os.path.abspath( "%s/m_%05d/m_%05d.sh" % (wd, p_id, p_id) )
merge_script = StringIO.StringIO()
with cd(merge_dir):
print("i_fofn_fn=%r" % i_fofn_fn)
# Since we could be in the gather-task-dir, instead of globbing,
# we will read the fofn.
for fn in open(i_fofn_fn).read().splitlines():
basename = os.path.basename(fn)
mo = re_las.search(basename)
if not mo:
continue
left_block = int(mo.group(1))
if left_block != p_id:
# By convention, m_00005 merges L1.5.*.las, etc.
continue
symlink(fn)
for l in s_data:
print >> merge_script, l
las_bfn = "%s.%d.las" % (db_prefix, p_id)
# print >> merge_script, 'echo %s >| %s' %(las_bfn, merged_las_fofn_bfn)
# job_done = makePypeLocalFile(os.path.abspath( "%s/m_%05d/m_%05d_done" % (wd, p_id, p_id) ))
parameters = {"script": merge_script.getvalue(), "merge_subdir": merge_subdir, "config": config}
merge_task = parameters
fasta_bfn = "out.%05d.fasta" % p_id
out_file_fn = os.path.abspath("%s/preads/%s" % (wd, fasta_bfn))
# out_done = makePypeLocalFile(os.path.abspath( "%s/preads/c_%05d_done" % (wd, p_id) ))
parameters = {
"db_fn": "{}/{}".format(os.getcwd(), db_prefix),
"las_fn": "{}/{}/{}".format(os.getcwd(), merge_subdir, las_bfn), # assuming merge ran in merge_dir
"out_file_fn": out_file_fn,
# "out_done": out_done,
"config": config,
}
cons_task = parameters
tasks[p_id] = (merge_task, cons_task, las_bfn, fasta_bfn)
# tasks <- dict{p_id: (merge_task, cons_task, las_bfn, fasta_bfn)}, where
# p_id is an integer, e.g., 1
# merge_task <- dict{'merge_dir': 'm_00001', 'script'='LAmerge -v raw_reads.1 L1.1.1 L1.1.2 L1.1.3', 'script_fn': x}
# cons_task <- dict{'db_fn':x, 'las_fn':x, 'out_file_fn':x, 'config':config}
# las_bfn, e.g. raw_reads.1.las
# fasta_bfn, e.g., out.00001.fasta
return tasks
