def control_c(_signal, _frame):
signal.signal(signal.SIGINT, signal.SIG_IGN)
db.commit()
ver = {28: "0", 26: "1", 24: "2", 22: "3", 20: "4", 10: "5"}
ver_level = log.level
print '\n\nYou pressed Ctrl+C!'
print 'q) quit'
print 'v) change verbosity level:', ver.get(ver_level, ver_level)
print 'd) enter debug mode'
print 'c) continue execution'
key = ask(" Choose:", ["q", "v", "d", "c"])
if key == "q":
raise KeyboardInterrupt
elif key == "d":
signal.signal(signal.SIGALRM, debug)
signal.alarm(1)
return
elif key == "v":
vl = ask("new level", sorted(ver.values()))
new_level = sorted(ver.keys(), reverse=True)[int(vl)]
log.setLevel(new_level)
elif key == "d":
import pdb
pdb.set_trace()
signal.signal(signal.SIGINT, control_c)
def control_c(_signal, _frame):
signal.signal(signal.SIGINT, signal.SIG_IGN)
db.commit()
ver = {28: "0", 26: "1", 24: "2", 22: "3", 20: "4", 10: "5"}
ver_level = log.level
print '\n\nYou pressed Ctrl+C!'
print 'q) quit'
print 'v) change verbosity level:', ver.get(ver_level, ver_level)
print 'd) enter debug mode'
print 'c) continue execution'
key = ask(" Choose:", ["q", "v", "d", "c"])
if key == "q":
raise KeyboardInterrupt
elif key == "d":
signal.signal(signal.SIGALRM, debug)
signal.alarm(1)
return
elif key == "v":
vl = ask("new level", sorted(ver.values()))
new_level = sorted(ver.keys(), reverse=True)[int(vl)]
log.setLevel(new_level)
elif key == "d":
import pdb
pdb.set_trace()
signal.signal(signal.SIGINT, control_c)
def schedule(workflow_task_processor, pending_tasks, schedule_time, execution, debug, norender):
# Adjust debug mode
if debug == "all":
log.setLevel(10)
pending_tasks = set(pending_tasks)
## ===================================
## INITIALIZE BASIC VARS
execution, run_detached = execution
thread2tasks = defaultdict(list)
for task in pending_tasks:
thread2tasks[task.configid].append(task)
expected_threads = set(thread2tasks.keys())
past_threads = {}
thread_errors = defaultdict(list)
## END OF VARS AND SHORTCUTS
## ===================================
cores_total = GLOBALS["_max_cores"]
if cores_total > 0:
job_queue = Queue()
back_launcher = Process(target=background_job_launcher,
args=(job_queue, run_detached,
GLOBALS["launch_time"], cores_total))
back_launcher.start()
else:
job_queue = None
back_launcher = None
GLOBALS["_background_scheduler"] = back_launcher
GLOBALS["_job_queue"] = job_queue
# Captures Ctrl-C for debuging DEBUG
#signal.signal(signal.SIGINT, control_c)
last_report_time = None
BUG = set()
try:
# Enters into task scheduling
while pending_tasks:
wtime = schedule_time
# ask SGE for running jobs
if execution == "sge":
sgeid2jobs = db.get_sge_tasks()
qstat_jobs = sge.qstat()
else:
qstat_jobs = None
# Show summary of pending tasks per thread
thread2tasks = defaultdict(list)
for task in pending_tasks:
thread2tasks[task.configid].append(task)
set_logindent(0)
log.log(28, "@@13: Updating tasks status:@@1: (%s)" % (ctime()))
info_lines = []
for tid, tlist in thread2tasks.iteritems():
threadname = GLOBALS[tid]["_name"]
sizelist = ["%s" %getattr(_ts, "size", "?") for _ts in tlist]
info = "Thread @@13:%s@@1:: pending tasks: @@8:%s@@1: of sizes: %s" %(
threadname, len(tlist), ', '.join(sizelist))
info_lines.append(info)
for line in info_lines:
log.log(28, line)
if GLOBALS["email"] and last_report_time is None:
last_report_time = time()
send_mail(GLOBALS["email"], "Your NPR process has started", '\n'.join(info_lines))
## ================================
## CHECK AND UPDATE CURRENT TASKS
checked_tasks = set()
check_start_time = time()
to_add_tasks = set()
GLOBALS["cached_status"] = {}
for task in sorted(pending_tasks, sort_tasks):
# Avoids endless periods without new job submissions
elapsed_time = time() - check_start_time
#if not back_launcher and pending_tasks and \
# elapsed_time > schedule_time * 2:
# log.log(26, "@@8:Interrupting task checks to schedule new jobs@@1:")
# db.commit()
# wtime = launch_jobs(sorted(pending_tasks, sort_tasks),
# execution, run_detached)
# check_start_time = time()
# Enter debuging mode if necessary
if debug and log.level > 10 and task.taskid.startswith(debug):
log.setLevel(10)
log.debug("ENTERING IN DEBUGGING MODE")
thread2tasks[task.configid].append(task)
# Update tasks and job statuses
if task.taskid not in checked_tasks:
try:
show_task_info(task)
task.status = task.get_status(qstat_jobs)
db.dataconn.commit()
if back_launcher and task.status not in set("DE"):
for j, cmd in task.iter_waiting_jobs():
j.status = "Q"
GLOBALS["cached_status"][j.jobid] = "Q"
if j.jobid not in BUG:
if not os.path.exists(j.jobdir):
os.makedirs(j.jobdir)
for ifile, outpath in j.input_files.iteritems():
try:
_tid, _did = ifile.split(".")
_did = int(_did)
except (IndexError, ValueError):
dataid = ifile
else:
dataid = db.get_dataid(_tid, _did)
if not outpath:
outfile = pjoin(GLOBALS["input_dir"], ifile)
else:
outfile = pjoin(outpath, ifile)
if not os.path.exists(outfile):
open(outfile, "w").write(db.get_data(dataid))
log.log(24, " @@8:Queueing @@1: %s from %s" %(j, task))
if execution:
job_queue.put([j.jobid, j.cores, cmd, j.status_file])
BUG.add(j.jobid)
update_task_states_recursively(task)
db.commit()
checked_tasks.add(task.taskid)
except TaskError, e:
log.error("Errors found in %s" %task)
import traceback
traceback.print_exc()
if GLOBALS["email"]:
threadname = GLOBALS[task.configid]["_name"]
send_mail(GLOBALS["email"], "Errors found in %s!" %threadname,
'\n'.join(map(str, [task, e.value, e.msg])))
pending_tasks.discard(task)
thread_errors[task.configid].append([task, e.value, e.msg])
continue
else:
# Set temporary Queued state to avoids launching
# jobs from clones
task.status = "Q"
if log.level < 24:
show_task_info(task)
if task.status == "D":
#db.commit()
show_task_info(task)
logindent(3)
# Log commands of every task
if 'cmd_log_file' not in GLOBALS[task.configid]:
GLOBALS[task.configid]['cmd_log_file'] = pjoin(GLOBALS[task.configid]["_outpath"], "cmd.log")
O = open(GLOBALS[task.configid]['cmd_log_file'], "w")
O.close()
cmd_lines = get_cmd_log(task)
CMD_LOG = open(GLOBALS[task.configid]['cmd_log_file'], "a")
print >>CMD_LOG, task
for c in cmd_lines:
print >>CMD_LOG, ' '+'\t'.join(map(str, c))
CMD_LOG.close()
#
try:
#wkname = GLOBALS[task.configid]['_name']
create_tasks = workflow_task_processor(task, task.target_wkname)
except TaskError, e:
log.error("Errors found in %s" %task)
pending_tasks.discard(task)
thread_errors[task.configid].append([task, e.value, e.msg])
continue
else:
logindent(-3)
to_add_tasks.update(create_tasks)
pending_tasks.discard(task)
elif task.status == "E":
log.error("task contains errors: %s " %task)
log.error("Errors found in %s")
pending_tasks.discard(task)
thread_errors[task.configid].append([task, None, "Found (E) task status"])
def process_task(task, wkname, npr_conf, nodeid2info):
cogconf, cogclass = npr_conf.cog_selector
concatconf, concatclass = npr_conf.alg_concatenator
treebuilderconf, treebuilderclass = npr_conf.tree_builder
splitterconf, splitterclass = npr_conf.tree_splitter
threadid, nodeid, seqtype, ttype = (task.threadid, task.nodeid,
task.seqtype, task.ttype)
cladeid, targets, outgroups = db.get_node_info(threadid, nodeid)
if not treebuilderclass or task.size < 4:
# Allows to dump algs in workflows with no tree tasks or if tree
# inference does not make sense given the number of sequences. DummyTree
# will produce a fake fully collapsed newick tree.
treebuilderclass = DummyTree
if outgroups and len(outgroups) > 1:
constrain_id = nodeid
else:
constrain_id = None
node_info = nodeid2info[nodeid]
conf = GLOBALS[task.configid]
new_tasks = []
if ttype == "cog_selector":
# Generates a md5 id based on the genetree configuration workflow used
# for the concat alg task. If something changes, concat alg will change
# and the associated tree will be rebuilt
config_blocks = set([wkname])
for key, value in conf[wkname].iteritems():
if isinstance(value, list) or isinstance(value, tuple) \
or isinstance(value, set):
for elem in value:
config_blocks.add(elem[1:]) if isinstance(
elem, str) and elem.startswith("@") else None
elif isinstance(value, str):
config_blocks.add(value[1:]) if value.startswith("@") else None
config_checksum = md5(''.join([
"[%s]\n%s" % (x, dict_string(conf[x]))
for x in sorted(config_blocks)
]))
# THIS PART HAS BEEN MOVED TO COG_SELECTOR TASK
# Check that current selection of cogs will cover all target and
# outgroup species
#cog_hard_limit = int(conf[concatconf]["_max_cogs"])
#sp_repr = defaultdict(int)
#for co in task.raw_cogs[:cog_hard_limit]:
# for sp, seq in co:
# sp_repr[sp] += 1
#missing_sp = (targets | outgroups) - set(sp_repr.keys())
#if missing_sp:
# raise TaskError("missing species under current cog selection: %s" %missing_sp)
#else:
# log.log(28, "Analysis of current COG selection:")
# for sp, ncogs in sorted(sp_repr.items(), key=lambda x:x[1]):
# log.log(28, " % 30s species present in % 6d COGs" %(sp, ncogs))
# register concat alignment task. NodeId associated to concat_alg tasks
# and all its children jobs should take into account cog information and
# not only species and outgroups included.
concat_job = concatclass(task.cogs, seqtype, conf, concatconf,
config_checksum)
db.add_node(threadid, concat_job.nodeid, cladeid, targets, outgroups)
# Register Tree constrains
constrain_tree = "(%s, (%s));" % (','.join(
sorted(outgroups)), ','.join(sorted(targets)))
_outs = "\n".join(map(lambda name: ">%s\n0" % name, sorted(outgroups)))
_tars = "\n".join(map(lambda name: ">%s\n1" % name, sorted(targets)))
constrain_alg = '\n'.join([_outs, _tars])
db.add_task_data(concat_job.nodeid, DATATYPES.constrain_tree,
constrain_tree)
db.add_task_data(concat_job.nodeid, DATATYPES.constrain_alg,
constrain_alg)
db.dataconn.commit() # since the creation of some Task objects
# may require this info, I need to commit
# right now.
concat_job.size = task.size
new_tasks.append(concat_job)
elif ttype == "concat_alg":
# register tree for concat alignment, using constraint tree if
# necessary
alg_id = db.get_dataid(task.taskid, DATATYPES.concat_alg_phylip)
try:
parts_id = db.get_dataid(task.taskid, DATATYPES.model_partitions)
except ValueError:
parts_id = None
nodeid2info[nodeid]["size"] = task.size
nodeid2info[nodeid]["target_seqs"] = targets
nodeid2info[nodeid]["out_seqs"] = outgroups
tree_task = treebuilderclass(nodeid,
alg_id,
constrain_id,
None,
seqtype,
conf,
treebuilderconf,
parts_id=parts_id)
tree_task.size = task.size
new_tasks.append(tree_task)
elif ttype == "tree":
merger_task = splitterclass(nodeid, seqtype, task.tree_file, conf,
splitterconf)
merger_task.size = task.size
new_tasks.append(merger_task)
elif ttype == "treemerger":
# Lets merge with main tree
if not task.task_tree:
task.finish()
log.log(24, "Saving task tree...")
annotate_node(task.task_tree, task)
db.update_node(nid=task.nodeid,
runid=task.threadid,
newick=db.encode(task.task_tree))
db.commit()
if not isinstance(treebuilderclass,
DummyTree) and npr_conf.max_iters > 1:
current_iter = get_iternumber(threadid)
if npr_conf.max_iters and current_iter >= npr_conf.max_iters:
log.warning("Maximum number of iterations reached!")
else:
# Add new nodes
source_seqtype = "aa" if "aa" in GLOBALS["seqtypes"] else "nt"
ttree, mtree = task.task_tree, task.main_tree
log.log(26, "Processing tree: %s seqs, %s outgroups",
len(targets), len(outgroups))
target_cladeids = None
if tobool(conf[splitterconf].get("_find_ncbi_targets", False)):
tcopy = mtree.copy()
ncbi.connect_database()
tax2name, tax2track = ncbi.annotate_tree_with_taxa(
tcopy, None)
#tax2name, tax2track = ncbi.annotate_tree_with_taxa(tcopy, "fake") # for testing sptree example
n2content = tcopy.get_cached_content()
broken_branches, broken_clades, broken_clade_sizes, tax2name = ncbi.get_broken_branches(
tcopy, n2content)
log.log(
28, 'restricting NPR to broken clades: ' + colorify(
', '.join(
map(lambda x: "%s" % tax2name[x],
broken_clades)), "wr"))
target_cladeids = set()
for branch in broken_branches:
print branch.get_ascii(attributes=['spname', 'taxid'],
compact=True)
print map(lambda x: "%s" % tax2name[x],
broken_branches[branch])
target_cladeids.add(branch.cladeid)
for node, seqs, outs, wkname in get_next_npr_node(
task.configid, ttree, task.out_seqs, mtree, None,
npr_conf,
target_cladeids): # None is to avoid alg checks
log.log(24, "Adding new node: %s seqs, %s outgroups",
len(seqs), len(outs))
new_task_node = cogclass(seqs, outs, source_seqtype, conf,
cogconf)
new_task_node.target_wkname = wkname
new_tasks.append(new_task_node)
db.add_node(threadid, new_task_node.nodeid,
new_task_node.cladeid, new_task_node.targets,
new_task_node.outgroups)
return new_tasks
#else:
# treemerge_task = TreeSplitter(nodeid, seqtype, task.tree_file, main_tree, conf)
treemerge_task.size = task.size
new_tasks.append(treemerge_task)
elif ttype == "treemerger":
if not task.task_tree:
task.finish()
log.log(24, "Saving task tree...")
annotate_node(task.task_tree, task)
db.update_node(nid=task.nodeid,
runid=task.threadid,
newick=db.encode(task.task_tree))
db.commit()
if not isinstance(treebuilderclass, DummyTree) and npr_conf.max_iters > 1:
current_iter = get_iternumber(threadid)
if npr_conf.max_iters and current_iter >= npr_conf.max_iters:
log.warning("Maximum number of iterations reached!")
else:
# Add new nodes
source_seqtype = "aa" if "aa" in GLOBALS["seqtypes"] else "nt"
ttree, mtree = task.task_tree, task.main_tree
log.log(26, "Processing tree: %s seqs, %s outgroups",
len(target_seqs), len(out_seqs))
alg_path = node_info.get("clean_alg_path", node_info["alg_path"])
for node, seqs, outs, wkname in get_next_npr_node(threadid, ttree,
task.out_seqs, mtree,
alg_path, npr_conf):
def process_task(task, wkname, npr_conf, nodeid2info):
cogconf, cogclass = npr_conf.cog_selector
concatconf, concatclass = npr_conf.alg_concatenator
treebuilderconf, treebuilderclass = npr_conf.tree_builder
splitterconf, splitterclass = npr_conf.tree_splitter
threadid, nodeid, seqtype, ttype = (task.threadid, task.nodeid, task.seqtype, task.ttype)
cladeid, targets, outgroups = db.get_node_info(threadid, nodeid)
if not treebuilderclass or task.size < 4:
# Allows to dump algs in workflows with no tree tasks or if tree
# inference does not make sense given the number of sequences. DummyTree
# will produce a fake fully collapsed newick tree.
treebuilderclass = DummyTree
if outgroups and len(outgroups) > 1:
constrain_id = nodeid
else:
constrain_id = None
node_info = nodeid2info[nodeid]
conf = GLOBALS[task.configid]
new_tasks = []
if ttype == "cog_selector":
# Generates a md5 id based on the genetree configuration workflow used
# for the concat alg task. If something changes, concat alg will change
# and the associated tree will be rebuilt
config_blocks = set([wkname])
for key, value in conf[wkname].iteritems():
if isinstance(value, list) or isinstance(value, tuple) or isinstance(value, set):
for elem in value:
config_blocks.add(elem[1:]) if isinstance(elem, str) and elem.startswith("@") else None
elif isinstance(value, str):
config_blocks.add(value[1:]) if value.startswith("@") else None
config_checksum = md5("".join(["[%s]\n%s" % (x, dict_string(conf[x])) for x in sorted(config_blocks)]))
# THIS PART HAS BEEN MOVED TO COG_SELECTOR TASK
# Check that current selection of cogs will cover all target and
# outgroup species
# cog_hard_limit = int(conf[concatconf]["_max_cogs"])
# sp_repr = defaultdict(int)
# for co in task.raw_cogs[:cog_hard_limit]:
# for sp, seq in co:
# sp_repr[sp] += 1
# missing_sp = (targets | outgroups) - set(sp_repr.keys())
# if missing_sp:
# raise TaskError("missing species under current cog selection: %s" %missing_sp)
# else:
# log.log(28, "Analysis of current COG selection:")
# for sp, ncogs in sorted(sp_repr.items(), key=lambda x:x[1]):
# log.log(28, " % 30s species present in % 6d COGs" %(sp, ncogs))
# register concat alignment task. NodeId associated to concat_alg tasks
# and all its children jobs should take into account cog information and
# not only species and outgroups included.
concat_job = concatclass(task.cogs, seqtype, conf, concatconf, config_checksum)
db.add_node(threadid, concat_job.nodeid, cladeid, targets, outgroups)
# Register Tree constrains
constrain_tree = "(%s, (%s));" % (",".join(sorted(outgroups)), ",".join(sorted(targets)))
_outs = "\n".join(map(lambda name: ">%s\n0" % name, sorted(outgroups)))
_tars = "\n".join(map(lambda name: ">%s\n1" % name, sorted(targets)))
constrain_alg = "\n".join([_outs, _tars])
db.add_task_data(concat_job.nodeid, DATATYPES.constrain_tree, constrain_tree)
db.add_task_data(concat_job.nodeid, DATATYPES.constrain_alg, constrain_alg)
db.dataconn.commit() # since the creation of some Task objects
# may require this info, I need to commit
# right now.
concat_job.size = task.size
new_tasks.append(concat_job)
elif ttype == "concat_alg":
# register tree for concat alignment, using constraint tree if
# necessary
alg_id = db.get_dataid(task.taskid, DATATYPES.concat_alg_phylip)
try:
parts_id = db.get_dataid(task.taskid, DATATYPES.model_partitions)
except ValueError:
parts_id = None
nodeid2info[nodeid]["size"] = task.size
nodeid2info[nodeid]["target_seqs"] = targets
nodeid2info[nodeid]["out_seqs"] = outgroups
tree_task = treebuilderclass(
nodeid, alg_id, constrain_id, None, seqtype, conf, treebuilderconf, parts_id=parts_id
)
tree_task.size = task.size
new_tasks.append(tree_task)
elif ttype == "tree":
merger_task = splitterclass(nodeid, seqtype, task.tree_file, conf, splitterconf)
merger_task.size = task.size
new_tasks.append(merger_task)
elif ttype == "treemerger":
# Lets merge with main tree
if not task.task_tree:
task.finish()
log.log(24, "Saving task tree...")
annotate_node(task.task_tree, task)
db.update_node(nid=task.nodeid, runid=task.threadid, newick=db.encode(task.task_tree))
db.commit()
if not isinstance(treebuilderclass, DummyTree) and npr_conf.max_iters > 1:
current_iter = get_iternumber(threadid)
if npr_conf.max_iters and current_iter >= npr_conf.max_iters:
log.warning("Maximum number of iterations reached!")
else:
# Add new nodes
source_seqtype = "aa" if "aa" in GLOBALS["seqtypes"] else "nt"
ttree, mtree = task.task_tree, task.main_tree
log.log(26, "Processing tree: %s seqs, %s outgroups", len(targets), len(outgroups))
target_cladeids = None
if tobool(conf[splitterconf].get("_find_ncbi_targets", False)):
tcopy = mtree.copy()
ncbi.connect_database()
tax2name, tax2track = ncbi.annotate_tree_with_taxa(tcopy, None)
# tax2name, tax2track = ncbi.annotate_tree_with_taxa(tcopy, "fake") # for testing sptree example
n2content = tcopy.get_cached_content()
broken_branches, broken_clades, broken_clade_sizes, tax2name = ncbi.get_broken_branches(
tcopy, n2content
)
log.log(
28,
"restricting NPR to broken clades: "
+ colorify(", ".join(map(lambda x: "%s" % tax2name[x], broken_clades)), "wr"),
)
target_cladeids = set()
for branch in broken_branches:
print branch.get_ascii(attributes=["spname", "taxid"], compact=True)
print map(lambda x: "%s" % tax2name[x], broken_branches[branch])
target_cladeids.add(branch.cladeid)
for node, seqs, outs, wkname in get_next_npr_node(
task.configid, ttree, task.out_seqs, mtree, None, npr_conf, target_cladeids
): # None is to avoid alg checks
log.log(24, "Adding new node: %s seqs, %s outgroups", len(seqs), len(outs))
new_task_node = cogclass(seqs, outs, source_seqtype, conf, cogconf)
new_task_node.target_wkname = wkname
new_tasks.append(new_task_node)
db.add_node(
threadid,
new_task_node.nodeid,
new_task_node.cladeid,
new_task_node.targets,
new_task_node.outgroups,
)
return new_tasks
def schedule(workflow_task_processor, pending_tasks, schedule_time, execution,
debug, norender):
# Adjust debug mode
if debug == "all":
log.setLevel(10)
pending_tasks = set(pending_tasks)
## ===================================
## INITIALIZE BASIC VARS
execution, run_detached = execution
thread2tasks = defaultdict(list)
for task in pending_tasks:
thread2tasks[task.configid].append(task)
expected_threads = set(thread2tasks.keys())
past_threads = {}
thread_errors = defaultdict(list)
## END OF VARS AND SHORTCUTS
## ===================================
cores_total = GLOBALS["_max_cores"]
if cores_total > 0:
job_queue = Queue()
back_launcher = Process(target=background_job_launcher,
args=(job_queue, run_detached,
GLOBALS["launch_time"], cores_total))
back_launcher.start()
else:
job_queue = None
back_launcher = None
GLOBALS["_background_scheduler"] = back_launcher
GLOBALS["_job_queue"] = job_queue
# Captures Ctrl-C for debuging DEBUG
#signal.signal(signal.SIGINT, control_c)
last_report_time = None
BUG = set()
try:
# Enters into task scheduling
while pending_tasks:
wtime = schedule_time
# ask SGE for running jobs
if execution == "sge":
sgeid2jobs = db.get_sge_tasks()
qstat_jobs = sge.qstat()
else:
qstat_jobs = None
# Show summary of pending tasks per thread
thread2tasks = defaultdict(list)
for task in pending_tasks:
thread2tasks[task.configid].append(task)
set_logindent(0)
log.log(28, "@@13: Updating tasks status:@@1: (%s)" % (ctime()))
info_lines = []
for tid, tlist in thread2tasks.iteritems():
threadname = GLOBALS[tid]["_name"]
sizelist = ["%s" % getattr(_ts, "size", "?") for _ts in tlist]
info = "Thread @@13:%s@@1:: pending tasks: @@8:%s@@1: of sizes: %s" % (
threadname, len(tlist), ', '.join(sizelist))
info_lines.append(info)
for line in info_lines:
log.log(28, line)
if GLOBALS["email"] and last_report_time is None:
last_report_time = time()
send_mail(GLOBALS["email"], "Your NPR process has started",
'\n'.join(info_lines))
## ================================
## CHECK AND UPDATE CURRENT TASKS
checked_tasks = set()
check_start_time = time()
to_add_tasks = set()
GLOBALS["cached_status"] = {}
for task in sorted(pending_tasks, sort_tasks):
# Avoids endless periods without new job submissions
elapsed_time = time() - check_start_time
#if not back_launcher and pending_tasks and \
# elapsed_time > schedule_time * 2:
# log.log(26, "@@8:Interrupting task checks to schedule new jobs@@1:")
# db.commit()
# wtime = launch_jobs(sorted(pending_tasks, sort_tasks),
# execution, run_detached)
# check_start_time = time()
# Enter debuging mode if necessary
if debug and log.level > 10 and task.taskid.startswith(debug):
log.setLevel(10)
log.debug("ENTERING IN DEBUGGING MODE")
thread2tasks[task.configid].append(task)
# Update tasks and job statuses
if task.taskid not in checked_tasks:
try:
show_task_info(task)
task.status = task.get_status(qstat_jobs)
db.dataconn.commit()
if back_launcher and task.status not in set("DE"):
for j, cmd in task.iter_waiting_jobs():
j.status = "Q"
GLOBALS["cached_status"][j.jobid] = "Q"
if j.jobid not in BUG:
if not os.path.exists(j.jobdir):
os.makedirs(j.jobdir)
for ifile, outpath in j.input_files.iteritems(
):
try:
_tid, _did = ifile.split(".")
_did = int(_did)
except (IndexError, ValueError):
dataid = ifile
else:
dataid = db.get_dataid(_tid, _did)
if not outpath:
outfile = pjoin(
GLOBALS["input_dir"], ifile)
else:
outfile = pjoin(outpath, ifile)
if not os.path.exists(outfile):
open(outfile, "w").write(
db.get_data(dataid))
log.log(
24, " @@8:Queueing @@1: %s from %s" %
(j, task))
if execution:
job_queue.put([
j.jobid, j.cores, cmd,
j.status_file
])
BUG.add(j.jobid)
update_task_states_recursively(task)
db.commit()
checked_tasks.add(task.taskid)
except TaskError, e:
log.error("Errors found in %s" % task)
import traceback
traceback.print_exc()
if GLOBALS["email"]:
threadname = GLOBALS[task.configid]["_name"]
send_mail(
GLOBALS["email"],
"Errors found in %s!" % threadname,
'\n'.join(map(str, [task, e.value, e.msg])))
pending_tasks.discard(task)
thread_errors[task.configid].append(
[task, e.value, e.msg])
continue
else:
# Set temporary Queued state to avoids launching
# jobs from clones
task.status = "Q"
if log.level < 24:
show_task_info(task)
if task.status == "D":
#db.commit()
show_task_info(task)
logindent(3)
# Log commands of every task
if 'cmd_log_file' not in GLOBALS[task.configid]:
GLOBALS[task.configid]['cmd_log_file'] = pjoin(
GLOBALS[task.configid]["_outpath"], "cmd.log")
O = open(GLOBALS[task.configid]['cmd_log_file'], "w")
O.close()
cmd_lines = get_cmd_log(task)
CMD_LOG = open(GLOBALS[task.configid]['cmd_log_file'], "a")
print >> CMD_LOG, task
for c in cmd_lines:
print >> CMD_LOG, ' ' + '\t'.join(map(str, c))
CMD_LOG.close()
#
try:
#wkname = GLOBALS[task.configid]['_name']
create_tasks = workflow_task_processor(
task, task.target_wkname)
except TaskError, e:
log.error("Errors found in %s" % task)
pending_tasks.discard(task)
thread_errors[task.configid].append(
[task, e.value, e.msg])
continue
else:
logindent(-3)
to_add_tasks.update(create_tasks)
pending_tasks.discard(task)
elif task.status == "E":
log.error("task contains errors: %s " % task)
log.error("Errors found in %s")
pending_tasks.discard(task)
thread_errors[task.configid].append(
[task, None, "Found (E) task status"])
#else:
# treemerge_task = TreeSplitter(nodeid, seqtype, task.tree_file, main_tree, conf)
treemerge_task.size = task.size
new_tasks.append(treemerge_task)
elif ttype == "treemerger":
if not task.task_tree:
task.finish()
log.log(24, "Saving task tree...")
annotate_node(task.task_tree, task)
db.update_node(nid=task.nodeid,
runid=task.threadid,
newick=db.encode(task.task_tree))
db.commit()
if not isinstance(treebuilderclass,
DummyTree) and npr_conf.max_iters > 1:
current_iter = get_iternumber(threadid)
if npr_conf.max_iters and current_iter >= npr_conf.max_iters:
log.warning("Maximum number of iterations reached!")
else:
# Add new nodes
source_seqtype = "aa" if "aa" in GLOBALS["seqtypes"] else "nt"
ttree, mtree = task.task_tree, task.main_tree
log.log(26, "Processing tree: %s seqs, %s outgroups",
len(target_seqs), len(out_seqs))
alg_path = node_info.get("clean_alg_path",
node_info["alg_path"])
for node, seqs, outs, wkname in get_next_npr_node(