source: coopr.opt/trunk/coopr/opt/base/solver.py @ 1918

Last change on this file since 1918 was 1918, checked in by wehart, 10 years ago

Rework of the SolverResults? object, to provide for a more explicit
definition of solver results, and to support loading of
solver results from YAML-formated data.

File size: 7.7 KB
Line 
1#  _________________________________________________________________________
2#
3#  Coopr: A COmmon Optimization Python Repository
4#  Copyright (c) 2008 Sandia Corporation.
5#  This software is distributed under the BSD License.
6#  Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
7#  the U.S. Government retains certain rights in this software.
8#  For more information, see the Coopr README.txt file.
9#  _________________________________________________________________________
10
11__all__ = ['ISolverRegistration', 'SolverRegistration',
12            'IOptSolver', 'OptSolver', 'SolverFactory']
13
14import os
15import sys
16from convert import convert_problem
17from formats import ResultsFormat, ProblemFormat
18import results
19from coopr.opt.results import SolverResults, SolverStatus
20
21from pyutilib.enum import Enum
22from pyutilib.plugin.core import *
23from pyutilib.plugin.config import *
24import pyutilib.common
25import pyutilib.misc
26
27
28class ISolverRegistration(Interface):
29    """An interface for accessing"""
30
31    def create(self, name=None):
32        """Create a solver, optionally specifying the name"""
33
34    def type(self):
35        """The type of solver supported by this service"""
36
37
38class SolverRegistration(Plugin):
39
40    implements(ISolverRegistration)
41
42    def __init__(self, type, cls):
43        self.name = type
44        self._type = type
45        self._cls = cls
46
47    def type(self):
48        return self._type
49
50    def create(self, **kwds):
51        return self._cls(**kwds)
52
53
54def SolverFactory(solver_name=None, **kwds):
55    ep = ExtensionPoint(ISolverRegistration)
56    if solver_name is None:
57        names = map(lambda x:x.name, ep())
58        names.sort()
59        return names
60    service = ep.service(solver_name)
61    if service is None:
62        ##print "Unknown solver=" + solver_name + " - no plugin registered for this solver type"
63        return None
64    else:
65        return ep.service(solver_name).create(**kwds)
66
67
68class IOptSolver(Interface):
69    """Interface class for creating optimization solvers"""
70
71    def available(self, exception_flag=True):
72        """Determine if this optimizer is available."""
73
74    def solve(self, *args, **kwds):
75        """Perform optimization and return an SolverResults object."""
76
77    def reset(self):
78        """Reset the state of an optimizer"""
79
80    def set_options(self, istr):
81        """Set the options in the optimizer from a string."""
82
83
84class OptSolver(ManagedPlugin):
85    """A generic optimization solver"""
86
87    implements(IOptSolver)
88
89    def __init__(self, **kwds):
90        """ Constructor """
91        ManagedPlugin.__init__(self,**kwds)
92        #
93        # The 'type' is the class type of the solver instance
94        #
95        if "type" in kwds:
96            self.type = kwds["type"]
97        else:                           #pragma:nocover
98            raise PluginError, "Expected option 'type' for OptSolver constructor"
99        #
100        # The 'name' is either the class type of the solver instance, or a
101        # assigned name.
102        #
103        if "name" in kwds:
104            self.name = kwds["name"]
105        else:
106            self.name = self.type
107        if "doc" in kwds:
108            self._doc = kwds["doc"]
109        else:
110            if self.type is None:           # pragma:nocover
111                self._doc = ""
112            elif self.name == self.type:
113                self._doc = "%s OptSolver" % self.name
114            else:
115                self._doc = "%s OptSolver (type %s)" % (self.name,self.type)
116        declare_option("options", cls=DictOption, section=self.name, doc=self._doc)
117        if 'options' in kwds:
118            for key in kwds['options']:
119                setattr(self.options,key,kwds['options'][key])
120        self._symbol_map=None
121        self._problem_format=None
122        self._results_format=None
123        self._valid_problem_formats=[]
124        self._valid_result_formats={}
125        self.results_reader=None
126        self.problem=None
127        self._assert_available=False
128
129    def available(self, exception_flag=True):
130        """ True if the solver is available """
131        if self._assert_available:
132            return True
133        tmp = self.enabled()
134        if exception_flag and not tmp:
135            raise pyutilib.common.ApplicationError, "OptSolver plugin %s is disabled" % self.name
136        return tmp
137
138    def solve(self, *args, **kwds):
139        """ Solve the problem """
140        self._presolve(*args, **kwds)
141        self._apply_solver()
142        result = self._postsolve()
143        result.symbol_map = self._symbol_map
144        return result
145
146    def _presolve(self, *args, **kwds):
147        self.available()
148        self._timelimit=None
149        self.tee=None
150        for key in kwds:
151          if key == "pformat":
152             self._problem_format=kwds[key]
153          elif key == "rformat":
154             self._results_format=kwds[key]
155          elif key == "logfile":
156             self.log_file=kwds[key]
157          elif key == "solnfile":
158             self.soln_file=kwds[key]
159          elif key == "timelimit":
160             self._timelimit=kwds[key]
161          elif key == "tee":
162             self.tee=kwds[key]
163          elif key == "options":
164             self.set_options(kwds[key])
165          elif key == "available":
166             self._assert_available=True
167          else:
168             raise ValueError, "Unknown option="+key+" for solver="+self.type
169
170        (self._problem_files,self._problem_format,self._symbol_map) = self._convert_problem(args, self._problem_format, self._valid_problem_formats)
171        if self._results_format is None:
172           self._results_format= self._default_results_format(self._problem_format)
173        #
174        # Disabling this check for now.  A solver doesn't have just _one_ results format.
175        #
176        #if self._results_format not in self._valid_result_formats[self._problem_format]:
177        #   raise ValueError, "Results format `"+str(self._results_format)+"' cannot be used with problem format `"+str(self._problem_format)+"' in solver "+self.name
178        if self._results_format == ResultsFormat.log:
179            self.results_reader = None
180        else:
181            self.results_reader = results.ReaderFactory(self._results_format)
182
183    def _apply_solver(self):
184        """The routine that performs the solve"""
185        raise NotImplementedError       #pragma:nocover
186       
187    def _postsolve(self):
188        """The routine that does solve post-processing"""
189        return self.results
190       
191    def _convert_problem(self, args, pformat, valid_pformats):
192        #
193        # If the problem is not None, then we assume that it has already
194        # been appropriately defined.  Either it's a string name of the
195        # problem we want to solve, or its a functor object that we can
196        # evaluate directly.
197        #
198        if self.problem is not None:
199           return (self.problem,ProblemFormat.colin_optproblem,None)
200        #
201        # Otherwise, we try to convert the object explicitly.
202        #
203        return convert_problem(args, pformat, valid_pformats)
204
205    def _default_results_format(self, prob_format):
206        """Returns the default results format for different problem
207            formats.
208        """
209        return ResultsFormat.results
210
211    def reset(self):
212        """
213        Reset the state of the solver
214        """
215        pass
216
217    def set_options(self, istr):
218        istr = istr.strip()
219        if istr is '':
220            return
221        tokens = pyutilib.misc.quote_split('[ ]+',istr)
222        for token in tokens:
223            index = token.find('=')
224            if index is -1:
225                raise ValueError, "Solver options must have the form option=value"
226            try:
227                val = eval(token[(index+1):])
228            except:
229                val = token[(index+1):]
230            setattr(self.options, token[:index], val)
231           
232           
233   
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