问题
I've been looking for a way to use **kwargs or *argv with argparse. I will from hard code to a dynamic way.
Here is my hard code and a example how I will use it.
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument("-r",
"--range",
dest="r",
nargs=8,
help="AddRange Parameters")
parser.add_argument("-p",
"--parameters",
dest="p",
nargs=8,
help="SetDefaults as Parameters")
parser.add_argument("-r",
"--range",
dest="r",
nargs=8,
help="AddRange Parameters")
return parser
"""Create a Template for a Job"""
def create_Template(temp3_,temp_tournsize,temp_popsize,temp0_,temp1_,temp_ngen,temp_run,tmpverb):
#single GA job
logging.basicConfig(level=logging.DEBUG)
template = job.JobTemplate(runGASimple)
print tmpverb
template.setDefaults(temp3=temp3_, tournsize=temp_tournsize, popSize=temp_popsize, temp0=temp0_, temp1=temp1_, ngen=temp_ngen, number_of_runs=temp_run, verbose=tmpverb)
return template
"""Run a simple Job"""
def ajob_run(template):
ajob = job.Job(template)
ajob.run()
pass
"""change Default params with AddRange"""
def add_Range(var_temp0,var_start,var_end,var_stepSize,var_temp1,var_start2,var_end2,var_stepSize2,tmp_template):
jobCreator = job.JobCreator()
#jobCreator.addRange('temp0', start=0.0, end=1.0, stepSize=0.1)
jobCreator.addRange(var_temp0, start= var_start, end=var_end, stepSize=var_stepSize)
#jobCreator.addRange('temp1', start=0.0, end=1.0, stepSize=0.1)
jobCreator.addRange(var_temp1, start=var_start2, end=var_end2, stepSize=var_stepSize2)
# all other params will take defaults
jobs = jobCreator.generateJobs(tmp_template)
return jobs
"""Create a Batchjob from Jobs"""
def batch_Job(tmp_jobs):
batchJob = job.BatchJob(tmp_jobs, 5)
return batchJob
if (__name__ == "__main__"):
args = get_parser().parse_args()
if (args.p and args.r):
print 'AddRange with Parameters Input Start:'
temp = create_Template(float(args.p[0]),int(args.p[1]),int(args.p[2]),float(args.p[3]),float(args.p[4]),int(args.p[5]),int(args.p[6]),ast.literal_eval(args.p[7]))
tmpjobs = add_Range(args.r[0],float(args.r[1]),float(args.r[2]),float(args.r[3]),args.r[4],float(args.r[5]),float(args.r[6]),float(args.r[7]),temp)
results = batch_Job(tmpjobs)
print 'AddRange with Parameters Input Ende.'
elif (args.p):
print 'Parameters Input Start:'
ajob_run(create_Template(
float(args.p[0]),
int(args.p[1]),
int(args.p[2]),
float(args.p[3]),
float(args.p[4]),
int(args.p[5]),
int(args.p[6]),
ast.literal_eval(args.p[7])))
print 'Parameters Input Ende.'
CLI.py -p 0.8 20 20 0.5 0.5 20 1 False
Then came a long output with results from a framework.
My method expected this. The variable names can be change in the future.
template.setDefaults(mux=0.8, tournsize=20, rangeSize=20, temp0=0.5, temp1=0.5, ngen=20, number_of_runs=1, verbose=False)
jobCreator.addRange('temp0', start=0.0, end=1.0, tournStep=0.1)
jobCreator.addRange('temp1', start=0.0, end=1.0, turns=4)
An will change it like this:
setDefaults(**kwargs)
addRange(paraName,**kwargs)
I expect this:
CLI.py -p temp0=1 temp1=0.4 ....temp6=8 ... -r temp0 start=0 end=1 tournStep=0.1
or
CLI.py -p hn0=1 bn1=0.4 ....tp6=8 ... -r temp1 start=0 end=1 turns=4
then convert variablenames with the input to:
setDefaults()
and
addRange()
But I need the argparse, because i will build a command line interface.
I have forgot some details about a other method:
"""change Default params with AddSpecific"""
def add_Specific(tmp_template,paraName,*params):
jobCreator = job.JobCreator()
#jobCreator.addSpecific('temp0', 0.1,0.2,0.3,0.4,....,0.7,...)
jobCreator.addRange(paraName, params)
# all other params will take defaults
jobs = jobCreator.generateJobs(tmp_template)
return jobs
Is that the correct way?
回答1:
Here, parameters argument will have a list of 8 pairs, for example:
CLI.py -p argname1=v1 ... argname8=v8
(obviously argnameN should be the argument names of the desired function).
You can then easily turn args.p (which is ['argname1=v1', ... 'argname8=v8']) into a dictionary:
def convert_value(v):
try:
return float(v) if '.' in v else int(v)
except ValueError:
# v is not a number
return v
params = dict([convert_value(n) for n in pair.split('=')] for pair in args.p)
and pass it to your function:
"""Create a Template for a Job"""
def create_Template(params):
#single GA job
logging.basicConfig(level=logging.DEBUG)
template = job.JobTemplate(runGASimple)
print tmpverb
template.setDefaults(**params)
return template
You can do the same with your range argument by creating two distinct range argument:
"""change Default params with AddRange"""
def add_Range(var_1, var_2, tmp_template):
jobCreator = job.JobCreator()
#jobCreator.addRange('temp0', start=0.0, end=1.0, stepSize=0.1)
jobCreator.addRange(**var_1)
#jobCreator.addRange('temp1', start=0.0, end=1.0, stepSize=0.1)
jobCreator.addRange(**var_2)
# all other params will take defaults
jobs = jobCreator.generateJobs(tmp_template)
回答2:
PLease pay attention at the Gall's answer - it might simplify your code dramatically. And regarding dynamic "argparse" please try this:
#!/usr/bin/env python
from __future__ import print_function
from __future__ import unicode_literals
import argparse
args_d = {
'-r': {
'flags': ['-r', '--range'],
'nargs': 8,
'help': 'AddRange Parameters',
'dest': 'r'
},
'-p': {
'flags': ['-p', '--parameters'],
'nargs': 8,
'help': 'SetDefaults as Parameters',
'dest': 'p'
}
}
def setup_parser(args_d):
parser = argparse.ArgumentParser()
for k,v in args_d.items():
if 'flags' in v:
flags = v['flags']
del v['flags']
parser.add_argument(*flags, **v)
return parser
if __name__ == "__main__":
args = setup_parser(args_d).parse_args()
print(args)
You would still have to generate the dictionary dynamically. You can try to use the "inspect" module for that...
来源：https://stackoverflow.com/questions/35129953/argparse-how-pass-to-a-method-with-kwargs-or-argv