def handle_output(self,job):
#import resultHandle
files = []
for f in job["output_files"]:
output_filename = f
outputfile = mig.get_file(output_filename, f)
log(self.logfile, "Retrieved output file for job "+job["id"],self.debug_mode)
#print "opening ", destDir+filepath, "to", destDir
files.append(outputfile)
return files
def download_result(job):
dl_files = []
result_files = job["result_files"]
for f in result_files:
if mig.path_exists(f):
dl = mig.get_file(f)
dl_files.append(dl)
#else:
# return []
return dl_files
def main():
"""
Executes the bash file test_executable.sh in a grid job.
Afterwards, the result is downloaded and printed to screen.
"""
# mig.debug_mode_on() # uncomment to enable debug print outs
# mig.local_mode_on() # uncomment to enable local mode execution
mig.test_connection() # Check if we can connect to the MiG server
# The program we want to execute on the grid
executable_file = "test_executable.sh"
# The shell command to execute on the grid resource
cmd = "./test_executable.sh > out.txt"
# Create and submit the grid job
job_id = mig.create_job(cmd,
output_files=["out.txt"],
executables=[executable_file])
print "\nJob (ID : %s) submitted. \n\n" % job_id
# Wait for the job to finish while monitoring the status
polling_frequency = 10 # seconds
while not mig.job_finished(job_id):
job_info = mig.job_info(job_id) # get an info dictionary
print 'Grid job : %(ID)s \t %(STATUS)s ' % job_info
time.sleep(polling_frequency) # wait a while before polling again
# Download the result file and print
output_file = mig.get_file("out.txt")
f = open(output_file)
print "Output file (%s) contains :\n %s \n\n" % (output_file,
str(f.readlines()))
f.close()
# Clean up
os.remove(output_file) # remove locally
mig.remove(output_file) # remove on the MiG server
print "Output (" + output_file + ") deleted."
def main():
"""
Run five grid jobs executing the bash file parameter_sweet_script.sh with different input arguments.
When a job has finished executing, the corresponding output file is downloaded.
Finally, the output contents are printed.
"""
# mig.debug_mode_on() # uncomment to enable debug print outs
# mig.local_mode_on() # uncomment to enable local mode execution
mig.test_connection() # Check if we can connect to the MiG server
input_values = range(5) # Input parameters
# The program we want to execute on grid resources
executable_file = "parameter_sweep_script.sh"
print "\nStarting grid jobs:\n"
jobs = []
for i in input_values: # Start a job for each input
output_file = "output%s.txt" % i # The output file name
# The shell command to start the script on the resource
cmd = "./parameter_sweep_script.sh %i > %s" % (i, output_file)
# Run the job resources on any vgrid
resource_requirements = {"VGRID": "ANY"}
# Start the grid job
job_id = mig.create_job(cmd,
output_files=[output_file],
executables=[executable_file],
resource_specifications=resource_requirements)
jobs.append((job_id, output_file))
print "Job (ID : %s) submitted." % job_id
print "\n\n"
print "Monitor job status...\n" # Now we wait for results
finished_jobs = []
while len(finished_jobs) < len(jobs):
for id, output_file in jobs:
job_info = mig.job_info(id) # get an info dictionary
print 'Grid job : %(ID)s \t %(STATUS)s ' % job_info
if mig.job_finished(id) and id not in finished_jobs:
# Download the output file from the server
mig.get_file(output_file)
finished_jobs.append(id)
mig.remove(
output_file) # clean up the result file on the server
time.sleep(10) # Wait a few seconds before trying again
print "\n\n"
print "All jobs finished."
# Clean up the result files and print out the contents
print "Cleaning up."
output_lines = []
for _, output_file in jobs:
fh = open(output_file)
output_lines.append(" ".join(fh.readlines()))
fh.close()
os.remove(output_file)
print "Output file (" + output_file + ") deleted."
print "\n\nOutput contents : \n\n%s\n" % "\n".join(output_lines)
def main():
"""
Find edit distance value between entries in a reference file. First, divide the file into smaller blocks
and create a grid job for each. levenshtein.py is used to process each input block.
When a job has finished executing, the corresponding output file is downloaded.
"""
# mig.debug_mode_on() # uncomment to enable debug print outs
# mig.local_mode_on() # uncomment to enable local mode execution
reference_file = "ref1000.txt"
# The reference blocks. One for each job we want to run.
block_files = create_blocks(reference_file, block_size=200)
# These are static input files for each job.
levenshtein_files = [
"Levenshtein_ucs4.so", "Levenshtein_ucs2.so", "levenshtein.py",
"Levenshtein_i686.so"
]
resource_requirements = {}
resource_requirements[
"RUNTIMEENVIRONMENT"] = "PYTHON-2" # we need python on the resource
resource_requirements["VGRID"] = "ANY"
jobs = []
# Start a grid job for each block file
for block_file in block_files:
output_file = block_file.strip(".txt") + "_output.txt"
cmd = "$PYTHON levenshtein.py %s > %s" % (block_file, output_file)
input_files = []
input_files.extend(levenshtein_files)
input_files.append(block_file)
job_id = mig.create_job(cmd,
input_files=input_files,
output_files=output_file,
resource_specifications=resource_requirements)
jobs.append((job_id, output_file))
print "started job %s" % job_id
jobs_done = 0
# now wait for the results
while len(jobs):
print "Checking job status. jobs done : %i." % jobs_done
try:
for job_id, result_file in jobs:
print "Checking job %s." % job_id
if mig.job_finished(job_id):
if not os.path.exists("output"):
os.mkdir("output")
mig.get_file(result_file, "output/" + result_file)
jobs.remove((job_id, result_file))
jobs_done += 1
print "Job done. Downloaded result file %s." % result_file
time.sleep(10) # wait a little before polling
except KeyboardInterrupt:
job_ids = [x[0] for x in jobs]
mig.cancel_jobs(job_ids)
print "Cancelled jobs."
break