def gather():
util.debug("Gathering result")
job_results = results
paths.ensure(job_results)
#aazj00103_05.075_v1_3.bz2 zj001.fasta zj001.psipred_ss2
#aazj00109_05.075_v1_3.bz2 zj001.psipred
aa_pattern = "aa"+name+"(03|09)\_05\.075\_v1\_3$"
patterns = [aa_pattern]
for suf in [".fasta", ".psipred", ".psipred_ss2"]:
patterns.append(name+suf)
try:
for pattern in patterns:
print "Pattern ",pattern
match = paths.find(pattern, scr_job)
if not match:
raise "Missing file"
for path in match:
if pattern == aa_pattern:
print "Filtering Columns %s" % path
for line in fileinput.input(path, inplace=1):
print " "+line[:47].strip()
fileinput.close()
print "Path ", path
file = paths.getFile(path)
dest = paths.join(job_results, file)
util.copy(path, job_results)
if pattern == aa_pattern:
util.system("bzip2 %s" % dest)
except:
paths.removerf(job_results)
raise
def gather():
util.debug("Gathering result")
job_results = results
paths.ensure(job_results)
#aazj00103_05.075_v1_3.bz2 zj001.fasta zj001.psipred_ss2
#aazj00109_05.075_v1_3.bz2 zj001.psipred
aa_pattern = "aa" + name + "(03|09)\_05\.075\_v1\_3$"
patterns = [aa_pattern]
for suf in [".fasta", ".psipred", ".psipred_ss2"]:
patterns.append(name + suf)
try:
for pattern in patterns:
print "Pattern ", pattern
match = paths.find(pattern, scr_job)
if not match:
raise "Missing file"
for path in match:
if pattern == aa_pattern:
print "Filtering Columns %s" % path
for line in fileinput.input(path, inplace=1):
print " " + line[:47].strip()
fileinput.close()
print "Path ", path
file = paths.getFile(path)
dest = paths.join(job_results, file)
util.copy(path, job_results)
if pattern == aa_pattern:
util.system("bzip2 %s" % dest)
except:
paths.removerf(job_results)
raise
def replicate_fasta():
global scr_fasta
file = paths.getFile(fasta_file)
scr_fasta = paths.join(scr_job, file)
if not paths.exists(scr_fasta):
util.debug("Replicating fasta file")
util.copy(fasta_file, scr_fasta)
paths.existsOrFail(scr_fasta)
def replicate_fasta():
global scr_fasta
file = paths.getFile(fasta_file)
scr_fasta = paths.join(scr_job, file)
if not paths.exists(scr_fasta):
util.debug("Replicating fasta file")
util.copy(fasta_file, scr_fasta)
paths.existsOrFail(scr_fasta)
def gather():
global code, task_id
utilities.debug("Gathering result")
paths.ensure(results_dir)
# Contents of results directory (3' library, 9' library, fasta, psipred, and psipred_ss2 files). EG:
#aazj00103_05.075_v1_3.bz2 zj001.fasta zj001.psipred_ss2
#aazj00109_05.075_v1_3.bz2 zj001.psipred
# Set "patterns" for results files.
aa_pattern = "aa"+code+task_id+"(03|09)\_05\.075\_v1\_3$"
patterns = [aa_pattern]
for suf in [".fasta", ".psipred", ".psipred_ss2"]:
patterns.append(code+task_id+suf)
try:
for pattern in patterns:
print "Pattern ",pattern
# Find the results file in scr_job_dir
match = paths.find(pattern, scr_job_dir)
# If a results file matching pattern is not found in the scr_jobs_dir, raise exception.
if not match:
raise "Missing file"
# Copy all results files in scr_job_dir to results_dir.
for path in match:
# If the results file is a frag library, format the frag library file.
if pattern == aa_pattern:
print "Filtering Columns of file %s" % path
# fileinput.input opens a file for iteration. Defining inplace=1 allows to given file to be
# altered "in place": file is backed up, and stdout is then directed to the file.
# Filters the file: writes " " + first 47 chars of the line. (Specific formatting).
for line in fileinput.input(path, inplace=1):
print " "+line[:47].strip()
fileinput.close()
print "Path ", path
# Copy the result file to results_dir.
utilities.copy(path, results_dir)
# If the results file is a frag library, bzip it in the results_dir.
if pattern == aa_pattern:
dest = paths.join(results_dir, paths.getFile(path))
utilities.system("bzip2 %s" % dest)
# If gathering the results files fails, delete the results_dir and exit.
except:
paths.removerf(results_dir)
raise
def gather():
global code, task_id
utilities.debug("Gathering result")
paths.ensure(results_dir)
# Contents of results directory (3' library, 9' library, fasta, psipred, and psipred_ss2 files). EG:
#aazj00103_05.075_v1_3.bz2 zj001.fasta zj001.psipred_ss2
#aazj00109_05.075_v1_3.bz2 zj001.psipred
# Set "patterns" for results files.
aa_pattern = "aa" + code + task_id + "(03|09)\_05\.075\_v1\_3$"
patterns = [aa_pattern]
for suf in [".fasta", ".psipred", ".psipred_ss2"]:
patterns.append(code + task_id + suf)
try:
for pattern in patterns:
print "Pattern ", pattern
# Find the results file in scr_job_dir
match = paths.find(pattern, scr_job_dir)
# If a results file matching pattern is not found in the scr_jobs_dir, raise exception.
if not match:
raise "Missing file"
# Copy all results files in scr_job_dir to results_dir.
for path in match:
# If the results file is a frag library, format the frag library file.
if pattern == aa_pattern:
print "Filtering Columns of file %s" % path
# fileinput.input opens a file for iteration. Defining inplace=1 allows to given file to be
# altered "in place": file is backed up, and stdout is then directed to the file.
# Filters the file: writes " " + first 47 chars of the line. (Specific formatting).
for line in fileinput.input(path, inplace=1):
print " " + line[:47].strip()
fileinput.close()
print "Path ", path
# Copy the result file to results_dir.
utilities.copy(path, results_dir)
# If the results file is a frag library, bzip it in the results_dir.
if pattern == aa_pattern:
dest = paths.join(results_dir, paths.getFile(path))
utilities.system("bzip2 %s" % dest)
# If gathering the results files fails, delete the results_dir and exit.
except:
paths.removerf(results_dir)
raise
def runScript(no_homs=False):
# Script requires the following environment variables
# BLAST_DIR
# NR_DIR
# NNMAKE_DIR - the BLOSUM score matrices
# PSIPRED_DIR
# NNMAKE_DIR
# JUFO_DIR
# SAM_DIR
# SAM_2ND_DIR - SAM Secondary Structure Prediction
utilities.debug("Running fragmentation script")
env = {
'BLAST_DIR':'%s/blast' % tools_dir,
'NR_DIR':'%s/db/nr' % scr_dir,
'NNMAKEDB_DIR':'%s/db/nnmake_database' % scr_dir,
'NNMAKE_SHORT_DIR':'%s/nnmake' % tools_dir,
'PSIPRED_DIR':'%s/psipred' % tools_dir,
'JUFO_DIR':'%s/jufo' % tools_dir,
'SAM_DIR':'%s/sam' % tools_dir,
'SAM_2ND_DIR':'%s/sam.predict-2nd' % tools_dir
}
for key in env :
# Check if all paths given in env exist.
paths.existsOrFail(env[key])
# os.environ is the system environment. New env. vars. can be set by adding to it.
os.environ[key] = env[key]
script = paths.join(home, "scripts", frag_script)
if no_homs:
script = "%s -nohoms" % script
fasta = paths.getFile(fasta_file)
cmd = "cd %s && %s -verbose -nosam %s" % (scr_job_dir, script, fasta)
#cmd = "cd %s && %s -verbose %s" % (scr_job_dir, script, fasta)
utilities.system(cmd)
def runScript(no_homs=False):
# Script requires the following environment variables
# BLAST_DIR
# NR_DIR
# NNMAKE_DIR - the BLOSUM score matrices
# PSIPRED_DIR
# NNMAKE_DIR
# JUFO_DIR
# SAM_DIR
# SAM_2ND_DIR - SAM Secondary Structure Prediction
utilities.debug("Running fragmentation script")
env = {
'BLAST_DIR': '%s/blast' % tools_dir,
'NR_DIR': '%s/db/nr' % scr_dir,
'NNMAKEDB_DIR': '%s/db/nnmake_database' % scr_dir,
'NNMAKE_SHORT_DIR': '%s/nnmake' % tools_dir,
'PSIPRED_DIR': '%s/psipred' % tools_dir,
'JUFO_DIR': '%s/jufo' % tools_dir,
'SAM_DIR': '%s/sam' % tools_dir,
'SAM_2ND_DIR': '%s/sam.predict-2nd' % tools_dir
}
for key in env:
# Check if all paths given in env exist.
paths.existsOrFail(env[key])
# os.environ is the system environment. New env. vars. can be set by adding to it.
os.environ[key] = env[key]
script = paths.join(home, "scripts", frag_script)
if no_homs:
script = "%s -nohoms" % script
fasta = paths.getFile(fasta_file)
cmd = "cd %s && %s -verbose -nosam %s" % (scr_job_dir, script, fasta)
#cmd = "cd %s && %s -verbose %s" % (scr_job_dir, script, fasta)
utilities.system(cmd)
def runScript():
# Script requires the following environment variables
# BLAST_DIR
# NR_DIR
# NNMAKE_DIR - the BLOSUM score matrices
# PSIPRED_DIR
# NNMAKE_DIR
# JUFO_DIR
# SAM_DIR
# SAM_2ND_DIR - SAM Secondary Structure Prediction
util.debug("Running fragmentation script")
env = {
'BLAST_DIR':'%s/blast' % shareware,
'NR_DIR':'%s/db/nr' % scr,
'NNMAKEDB_DIR':'%s/db/nnmake_database' % scr,
'NNMAKE_SHORT_DIR':'%s/nnmake' % shareware,
'PSIPRED_DIR':'%s/psipred' % shareware,
'JUFO_DIR':'%s/jufo' % shareware,
'SAM_DIR':'%s/sam' % shareware,
'SAM_2ND_DIR':'%s/sam.predict-2nd' % shareware
}
for key in env :
# Make sure all paths in 'env' exist in the system.
paths.existsOrFail(env[key])
# Put 'env' values into the system environment.
os.environ[key] = env[key]
script = paths.join(home, "scripts", pl_script)
if no_homs:
script = "%s -nohoms" % script
fasta = paths.getFile(scr_fasta)
cmd = "cd %s && %s -verbose -nosam %s" % (scr_job, script, fasta)
#cmd = "cd %s && %s -verbose %s" % (scr_job, script, fasta)
util.system(cmd)
def runScript():
# Script requires the following environment variables
# BLAST_DIR
# NR_DIR
# NNMAKE_DIR - the BLOSUM score matrices
# PSIPRED_DIR
# NNMAKE_DIR
# JUFO_DIR
# SAM_DIR
# SAM_2ND_DIR - SAM Secondary Structure Prediction
util.debug("Running fragmentation script")
env = {
'BLAST_DIR': '%s/blast' % shareware,
'NR_DIR': '%s/db/nr' % scr,
'NNMAKEDB_DIR': '%s/db/nnmake_database' % scr,
'NNMAKE_SHORT_DIR': '%s/nnmake' % shareware,
'PSIPRED_DIR': '%s/psipred' % shareware,
'JUFO_DIR': '%s/jufo' % shareware,
'SAM_DIR': '%s/sam' % shareware,
'SAM_2ND_DIR': '%s/sam.predict-2nd' % shareware
}
for key in env:
# Make sure all paths in 'env' exist in the system.
paths.existsOrFail(env[key])
# Put 'env' values into the system environment.
os.environ[key] = env[key]
script = paths.join(home, "scripts", pl_script)
if no_homs:
script = "%s -nohoms" % script
fasta = paths.getFile(scr_fasta)
cmd = "cd %s && %s -verbose -nosam %s" % (scr_job, script, fasta)
#cmd = "cd %s && %s -verbose %s" % (scr_job, script, fasta)
util.system(cmd)
def main():
global code, task_id, fasta_file, results_dir, scr_dir, scr_job_dir_dir, home, tools_dir
# Create a parser and add command-line options.
parser = OptionParser(usage=usage_str)
set_options(parser)
# Parse command-line options and arguments (does automatically on sys.argv[1:]).
(options, args) = parser.parse_args()
# Parse required positional arguments (stored in args via parse_args()).
parse_positional_args(args, parser)
# If task_id is specified, set to a 3-digit integer. If not, try to grab task_id from PBS env. var.
if (options.task_id):
task_id = '%(#)03d' % {"#": options.task_id}
else:
try:
task_id = '%(#)03d' % {"#": int(os.environ['PBS_ARRAYID'])-1}
except:
raise Exception("No Task ID specified or in system.")
# If properties file is specified, print usage and exit (not supported).
if (options.properties_file):
print "Specifying a properties file not currently supported. See usage."
parser.print_help()
sys.exit(1)
# REPLACE THIS with getting fasta file to work on from tasks.pickle. How?
# Replace '%s' in input fasta_file with code+task_id.
try:
fasta_file = fasta_file.replace("%s", code+task_id)
except:
print "Error: fasta_file {0} does not contain required \%s.".format(fasta_file)
raise
# Set results_dir to format: <results_dir>/<code>/<code>+<task_id>
results_dir = os.path.join(results_dir, code, code+task_id)
# Set job scratch directory to format: <scr_dir>/job/<code>+<task_id>
scr_job_dir = os.path.join(scr_dir, "job", code+task_id)
# TODO: Get rid of all this scr_fasta stuff, and just do the copy (see notes).
# Set scr_fasta to <scr_job_dir><fasta_file filename only>
scr_fasta = os.path.join(scr_job_dir, paths.getFile(fasta_file))
# Sets home to CWD and tools_dir to CWD/tools. Hardcoded.
# TODO: when make_fragments.local is incorporated, no tools will be used this way (instead, they'll all come from the Env.)
home = os.getcwd()
tools_dir = paths.join(home, "tools")
# Run main fragmenting functionality.
try:
# Copy fasta input to scratch dir
replicate()
# Run fragment making script
runScript(no_homs = options.nohoms)
# Copy results to results dir
gather()
finally:
if (options.cleanup):
cleanup()
utilities.debug("FINISHED!")
def main():
global code, task_id, fasta_file, results_dir, scr_dir, scr_job_dir_dir, home, tools_dir
# Create a parser and add command-line options.
parser = OptionParser(usage=usage_str)
set_options(parser)
# Parse command-line options and arguments (does automatically on sys.argv[1:]).
(options, args) = parser.parse_args()
# Parse required positional arguments (stored in args via parse_args()).
parse_positional_args(args, parser)
# If task_id is specified, set to a 3-digit integer. If not, try to grab task_id from PBS env. var.
if (options.task_id):
task_id = '%(#)03d' % {"#": options.task_id}
else:
try:
task_id = '%(#)03d' % {"#": int(os.environ['PBS_ARRAYID']) - 1}
except:
raise Exception("No Task ID specified or in system.")
# If properties file is specified, print usage and exit (not supported).
if (options.properties_file):
print "Specifying a properties file not currently supported. See usage."
parser.print_help()
sys.exit(1)
# REPLACE THIS with getting fasta file to work on from tasks.pickle. How?
# Replace '%s' in input fasta_file with code+task_id.
try:
fasta_file = fasta_file.replace("%s", code + task_id)
except:
print "Error: fasta_file {0} does not contain required \%s.".format(
fasta_file)
raise
# Set results_dir to format: <results_dir>/<code>/<code>+<task_id>
results_dir = os.path.join(results_dir, code, code + task_id)
# Set job scratch directory to format: <scr_dir>/job/<code>+<task_id>
scr_job_dir = os.path.join(scr_dir, "job", code + task_id)
# TODO: Get rid of all this scr_fasta stuff, and just do the copy (see notes).
# Set scr_fasta to <scr_job_dir><fasta_file filename only>
scr_fasta = os.path.join(scr_job_dir, paths.getFile(fasta_file))
# Sets home to CWD and tools_dir to CWD/tools. Hardcoded.
# TODO: when make_fragments.local is incorporated, no tools will be used this way (instead, they'll all come from the Env.)
home = os.getcwd()
tools_dir = paths.join(home, "tools")
# Run main fragmenting functionality.
try:
# Copy fasta input to scratch dir
replicate()
# Run fragment making script
runScript(no_homs=options.nohoms)
# Copy results to results dir
gather()
finally:
if (options.cleanup):
cleanup()
utilities.debug("FINISHED!")
