#  ___________________________________________________________________________
#
#  Pyomo: Python Optimization Modeling Objects
#  Copyright 2017 National Technology and Engineering Solutions of Sandia, LLC
#  Under the terms of Contract DE-NA0003525 with National Technology and 
#  Engineering Solutions of Sandia, LLC, the U.S. Government retains certain 
#  rights in this software.
#  This software is distributed under the 3-clause BSD License.
#  ___________________________________________________________________________

#
# Test transformations for linear duality
#

from filecmp import cmp
import os
from os.path import abspath, dirname, normpath, join
currdir = dirname(abspath(__file__))
exdir = normpath(join(currdir, '..', '..', '..', 'examples', 'bilevel'))

import pyomo.common.unittest as unittest

from pyomo.common.dependencies import yaml, yaml_available, yaml_load_args
import pyomo.opt
import pyomo.scripting.pyomo_main as pyomo_main
from pyomo.scripting.util import cleanup
import pyomo.environ

solvers = pyomo.opt.check_available_solvers('cplex', 'glpk')


class CommonTests:

    solve = True

    def run_bilevel(self, *_args, **kwds):
        if self.solve:
            args = ['solve']
            if 'solver' in kwds:
                _solver = kwds.get('solver', 'glpk')
                args.append('--solver=bilevel_ld')
                args.append('--solver-options="solver=%s"' % _solver)
            args.append('--save-results=result.yml')
            args.append('--results-format=yaml')
        else:
            args = ['convert']
        if 'preprocess' in kwds:
            # args.append('--solver=glpk')
            pp = kwds['preprocess']
            if pp == 'linear_dual':
                args.append('--transform=bilevel.linear_dual')
        args.append('-c')

        # These were being ignored by the solvers for this package,
        # which now causes a helpful error message.
        # I've manually inserted them into those tests that need them to pass
        # (which is where they also get used)
        # args.append('--symbolic-solver-labels')
        # args.append('--file-determinism=2')

        if False:
            args.append('--stream-solver')
            args.append('--tempdir='+currdir)
            args.append('--keepfiles')
            args.append('--logging=debug')

        args = args + list(_args)
        _cwd = os.getcwd()

        print('***')
        # print(' '.join(args))
        try:
            os.chdir(currdir)
            output = pyomo_main.main(args)
        except SystemExit:
            output = None
        except:
            output = None
            raise
        finally:
            os.chdir(_cwd)
        cleanup()
        print('***')
        return output

    def check(self, problem, solver):
        pass

    def referenceFile(self, problem, solver):
        return join(currdir, problem+'.txt')

    def getObjective(self, fname):
        FILE = open(fname)
        data = yaml.load(FILE, **yaml_load_args)
        FILE.close()
        solutions = data.get('Solution', [])
        ans = []
        for x in solutions:
            ans.append(x.get('Objective', {}))
        return ans

    def updateDocStrings(self):
        for key in dir(self):
            if key.startswith('test'):
                getattr(self, key).__doc__ = " (%s)" % getattr(self, key).__name__

    def test_t5(self):
        self.problem = 'test_t5'
        self.run_bilevel(join(exdir, 't5.py'))
        self.check('t5', 'linear_dual')

    def test_t1(self):
        self.problem = 'test_t1'
        self.run_bilevel(join(exdir, 't1.py'))
        self.check('t1', 'linear_dual')

    def Xtest_t2(self):
        self.problem='test_t2'
        self.run_bilevel( join(exdir,'t2.py'))
        self.check( 't2', 'linear_dual' )


class Reformulate(unittest.TestCase, CommonTests):

    solve = False

    def tearDown(self):
        if os.path.exists(os.path.join(currdir, 'result.yml')):
            os.remove(os.path.join(currdir, 'result.yml'))

    def run_bilevel(self,  *args, **kwds):
        args = list(args)
        args.append('--output='+self.problem+'_result.lp')
        args.append('--symbolic-solver-labels')
        args.append('--file-determinism=2')
        kwds['preprocess'] = 'linear_dual'
        CommonTests.run_bilevel(self, *args, **kwds)

    def referenceFile(self, problem, solver):
        return join(currdir, problem+"_"+solver+'.lp')

    def check(self, problem, solver):
        _out = join(currdir,self.problem+'_result.lp')
        _log = self.referenceFile(problem,solver)
        self.assertTrue(cmp(_out, _log),
                        msg="Files %s and %s differ" % (_log, _out))


class Solver(unittest.TestCase):

    def tearDown(self):
        if os.path.exists(os.path.join(currdir,'result.yml')):
            os.remove(os.path.join(currdir,'result.yml'))

    def check(self, problem, solver):
        refObj = self.getObjective(self.referenceFile(problem,solver))
        ansObj = self.getObjective(join(currdir,'result.yml'))
        self.assertEqual(len(refObj), len(ansObj))
        for i in range(len(refObj)):
            self.assertEqual(len(refObj[i]), len(ansObj[i]))
            for key,val in refObj[i].items():
                #self.assertEqual(val['Id'], ansObj[i].get(key,None)['Id'])
                self.assertAlmostEqual(val['Value'], ansObj[i].get(key,None)['Value'], places=3)


@unittest.skipIf(not yaml_available, "YAML is not available")
@unittest.skipIf(not 'glpk' in solvers, "The 'glpk' executable is not available")
class Solve_GLPK(Solver, CommonTests):

    def run_bilevel(self,  *args, **kwds):
        kwds['solver'] = 'glpk'
        CommonTests.run_bilevel(self, *args, **kwds)


@unittest.skipIf(not yaml_available, "YAML is not available")
@unittest.skipIf(not 'cplex' in solvers, "The 'cplex' executable is not available")
class Solve_CPLEX(Solver, CommonTests):

    def run_bilevel(self,  *args, **kwds):
        kwds['solver'] = 'cplex'
        CommonTests.run_bilevel(self, *args, **kwds)


if __name__ == "__main__":
    unittest.main()
