class Process(Entity):
"Process (instance of Processtype) executed producing ouputs from inputs."
_URI = 'processes'
_PREFIX = 'prc'
type = EntityDescriptor('type', Processtype)
date_run = StringDescriptor('date-run')
technician = EntityDescriptor('technician', Researcher)
protocol_name = StringDescriptor('protocol-name')
input_output_maps = InputOutputMapList()
udf = UdfDictionaryDescriptor()
udt = UdtDictionaryDescriptor()
files = EntityListDescriptor(nsmap('file:file'), File)
process_parameter = StringDescriptor('process-parameter')
instrument = EntityDescriptor('instrument', Instrument)
# process_parameters XXX
def outputs_per_input(self,
inart,
ResultFile=False,
SharedResultFile=False,
Analyte=False):
"""Getting all the output artifacts related to a particual input artifact"""
inouts = [
io for io in self.input_output_maps if io[0]['limsid'] == inart
]
if ResultFile:
inouts = [
io for io in inouts if io[1]['output-type'] == 'ResultFile'
]
elif SharedResultFile:
inouts = [
io for io in inouts
if io[1]['output-type'] == 'SharedResultFile'
]
elif Analyte:
inouts = [io for io in inouts if io[1]['output-type'] == 'Analyte']
outs = [io[1]['uri'] for io in inouts]
return outs
def input_per_sample(self, sample):
"""gettiung all the input artifacts dereved from the specifyed sample"""
ins_all = self.all_inputs()
ins = []
for inp in ins_all:
for samp in inp.samples:
if samp.name == sample and inp not in ins:
ins.append(inp)
return ins
def all_inputs(self, unique=True, resolve=False):
"""Retrieving all input artifacts from input_output_maps
if unique is true, no duplicates are returned.
"""
# if the process has no input, that is not standard and we want to know about it
try:
ids = [io[0]['limsid'] for io in self.input_output_maps]
except TypeError:
logger.error("Process ", self, " has no input artifacts")
raise TypeError
if unique:
ids = list(frozenset(ids))
if resolve:
return self.lims.get_batch(
[Artifact(self.lims, id=id) for id in ids if id is not None])
else:
return [Artifact(self.lims, id=id) for id in ids if id is not None]
def all_outputs(self, unique=True, resolve=False):
"""Retrieving all output artifacts from input_output_maps
if unique is true, no duplicates are returned.
"""
# Given how ids is structured, io[1] might be None : some process don't have an output.
ids = [
io[1]['limsid'] for io in self.input_output_maps
if io[1] is not None
]
if unique:
ids = list(frozenset(ids))
if resolve:
return self.lims.get_batch(
[Artifact(self.lims, id=id) for id in ids if id is not None])
else:
return [Artifact(self.lims, id=id) for id in ids if id is not None]
def shared_result_files(self):
"""Retreve all resultfiles of output-generation-type PerAllInputs."""
artifacts = self.all_outputs(unique=True)
return [a for a in artifacts if a.output_type == 'SharedResultFile']
def result_files(self):
"""Retreve all resultfiles of output-generation-type perInput."""
artifacts = self.all_outputs(unique=True)
return [a for a in artifacts if a.output_type == 'ResultFile']
def analytes(self):
"""Retreving the output Analytes of the process, if existing.
If the process is not producing any output analytes, the input
analytes are returned. Input/Output is returned as a information string.
Makes aggregate processes and normal processes look the same."""
info = 'Output'
artifacts = self.all_outputs(unique=True)
analytes = [a for a in artifacts if a.type == 'Analyte']
if len(analytes) == 0:
artifacts = self.all_inputs(unique=True)
analytes = [a for a in artifacts if a.type == 'Analyte']
info = 'Input'
return analytes, info
def parent_processes(self):
"""Retrieving all parent processes through the input artifacts"""
return [i_a.parent_process for i_a in self.all_inputs(unique=True)]
def output_containers(self):
"""Retrieve all unique output containers"""
cs = []
for o_a in self.all_outputs(unique=True):
if o_a.container:
cs.append(o_a.container)
return list(frozenset(cs))
@property
def step(self):
"""Retrive the Step coresponding to this process. They share the same id"""
return Step(self.lims, id=self.id)
class StepDetails(Entity):
"""Detail associated with a step"""
input_output_maps = InputOutputMapList('input-output-maps')
udf = UdfDictionaryDescriptor('fields')
udt = UdtDictionaryDescriptor('fields')