def __init__(self, *args, **kwargs):
super(Job, self).__init__(*args, **kwargs)
self.input = kwargs.setdefault('inputfiles', {})
self.output = kwargs.setdefault('outputfiles', {})
self.filenames = joindicts(self.input, self.output)
self.variables = kwargs.setdefault('variables', {})
kwargs.setdefault('startdir', None)
kwargs.setdefault('stagedir', None)
self.queuingsystem = 'Local'
def __init__(self,*args,**kwargs):
super(Job,self).__init__(*args,**kwargs)
self.input = kwargs.setdefault('inputfiles',{})
self.output = kwargs.setdefault('outputfiles',{})
self.filenames = joindicts(self.input,self.output)
self.variables = kwargs.setdefault('variables',{})
kwargs.setdefault('startdir',None)
kwargs.setdefault('stagedir',None)
self.queuingsystem = 'Local'
def __init__(self, *args, **kwargs):
"""Set up SGE job.
:Arguments:
inputfiles
dict of input files (with relative path to startdir);
globs are not supported.
outputfiles
dict of result files or glob patterns (relative to
stagedir == relative to startdir)
variables
key/value pairs that can be used in the script as
Job.variables[key]
startdir
path to the directory where the input can be found
(must be nfs-mounted on node)
stagedir
local scratch directory on node; all input files are copied
there. The default should be ok.
JOB_NAME
unique identifier (only set this if this NOT submitted through
the Gridengine queuing system AND if the files should be copied
to a scratch disk (i.e. staging proceeds as it would for a
SGE-submitted job).)
SGE_TASK_ID
fake a task id (use with JOB_NAME)
"""
self.__MODE__ = "init" # current state, for self.msg
super(Job, self).__init__(*args, **kwargs)
self.input = kwargs.setdefault('inputfiles', {})
self.output = kwargs.setdefault('outputfiles', {})
self.variables = kwargs.setdefault('variables', {})
# where we find input files and copy back results
self.startdir = self.startdir_name(kwargs.setdefault('startdir', None))
# local directory on node
self.stagedir = self.stagedir_name(kwargs.setdefault('stagedir', None))
# normalized filenames (always under stagedir)
self.filenames = {
k: pathjoin(self.stagedir, path, refdir=self.startdir)
for k, path in joindicts(self.input, self.output).items()
}
self.statusmessage()
def __init__(self,*args,**kwargs):
"""Set up SGE job.
:Arguments:
inputfiles
dict of input files (with relative path to startdir);
globs are not supported.
outputfiles
dict of result files or glob patterns (relative to
stagedir == relative to startdir)
variables
key/value pairs that can be used in the script as
Job.variables[key]
startdir
path to the directory where the input can be found
(must be nfs-mounted on node)
stagedir
local scratch directory on node; all input files are copied
there. The default should be ok.
JOB_NAME
unique identifier (only set this if this NOT submitted through
the Gridengine queuing system AND if the files should be copied
to a scratch disk (i.e. staging proceeds as it would for a
SGE-submitted job).)
SGE_TASK_ID
fake a task id (use with JOB_NAME)
"""
self.__MODE__ = "init" # current state, for self.msg
super(Job,self).__init__(*args,**kwargs)
self.input = kwargs.setdefault('inputfiles',{})
self.output = kwargs.setdefault('outputfiles',{})
self.variables = kwargs.setdefault('variables',{})
# where we find input files and copy back results
self.startdir = self.startdir_name(kwargs.setdefault('startdir',None))
# local directory on node
self.stagedir = self.stagedir_name(kwargs.setdefault('stagedir',None))
# normalized filenames (always under stagedir)
self.filenames = dict([
(k,pathjoin(self.stagedir,path,refdir=self.startdir))
for k,path in joindicts(self.input,self.output).items()] )
self.statusmessage()
def __init__(self, *args, **kwargs):
"""Set up the Job:
job = Job(inputfiles=dict(...),outputfiles=dict(...),variables=dict(...),**kwargs)
inputfiles and outputfiles are dictionaries with arbitrary
keys; each item is a path to a file relative to the startdir
(which by default is the directory from which the SGE job
starts --- use the #$ -cwd flag!). If the files are not
relative to the start dir then new directories are constructed
under the stage dir; in this instance it uis important that
the user script ONLY uses the filenames in self.filenames:
These have the proper paths of the local (staged) files for
the script to operate on.
With
job.stage()
inputfiles are copied to the stagedir on the node's scratch
dir and sub directories are created as necessary; directories
mentioned as part of the outputfiles are created, too.
job.unstage()
copies back all files mentioned in output files (again, use
directories as part of the path as necessary) and create the
directories in the startdir if needed. For the outputfiles one
can also use shell-style glob patterns, e.g. outfiles =
{'all_dcd': '*.dcd', 'last_data':'*[5-9].dat'}
Sensible defaults are automatically selected for startdir
(cwd) and stagedir (/scratch/USER/JOB_NAME.JOB_ID).
If the script is not run through SGE (i.e. the environment
variable JOB_NAME is not set) then the script is run without
staging; this is pretty much equivalent to using
from staging.Local import Job
:Input:
inputfiles dict of input files (with relative path to startdir);
globs are not supported.
outputfiles dict of result files or glob patterns (relative to
stagedir == relative to startdir)
variables key/value pairs that can be used in the script as
Job.variables[key]
startdir path to the directory where the input can be found
(must be nfs-mounted on node)
stagedir local scratch directory on node; all input files are copied
there. The default should be ok.
JOB_NAME unique identifier (only set this if this NOT submitted through
the Gridengine queuing system AND if the files should be copied
to a scratch disk (i.e. staging proceeds as it would for a
SGE-submitted job).)
SGE_TASK_ID fake a task id (use with JOB_NAME)
:Attributes:
input inputfiles dict (relative to startdir or absolute)
output outputfiles dict (relative to startdir or absolute, can contain globs)
filenames merged dict of input and output, pointing to *staged* files
variables variables dict
:Methods:
stage() setup job on the nodes in stagedir
unstage() retrieve results to startdir
cleanup() remove all files on the node (rm -rf stagedir)
"""
self.__MODE__ = "init" # current state, for self.msg
super(Job, self).__init__(*args, **kwargs)
self.input = kwargs.setdefault('inputfiles', {})
self.output = kwargs.setdefault('outputfiles', {})
self.variables = kwargs.setdefault('variables', {})
# where we find input files and copy back results
self.startdir = self.startdir_name(kwargs.setdefault('startdir', None))
# local directory on node
self.stagedir = self.stagedir_name(kwargs.setdefault('stagedir', None))
# normalized filenames (always under stagedir)
self.filenames = dict([
(k, pathjoin(self.stagedir, path, refdir=self.startdir))
for k, path in joindicts(self.input, self.output).items()
])
self.statusmessage()
