import sys,os
import IMP
import IMP.em
import IMP.test
import IMP.core
import IMP.atom

class Tests(IMP.test.TestCase):
    """Class to test EM correlation restraint"""

    def load_density_map(self):
        mrw = IMP.em.MRCReaderWriter()
        self.scene = IMP.em.read_map(self.get_input_file_name("1z5s_10.mrc"), mrw)
        self.scene.get_header_writable().set_resolution(10.)
        self.scene.update_voxel_size(2.0)
        self.scene.set_origin(34.0,8.0,-92.0)

    def load_protein(self,pdb_filename):
        self.m = IMP.Model()
        self.mp= IMP.atom.read_pdb(self.open_input_file(pdb_filename),
                              self.m, IMP.atom.CAlphaPDBSelector())#IMP.atom.NonWaterSelector())
        self.mps = IMP.atom.Hierarchies()
        self.mps.append(self.mp)
        self.weight_key = IMP.FloatKey("weight")
        #add radius and weight attributes
        self.particles = IMP.core.get_leaves(self.mp)
        for p in self.particles:
            p.get_particle().add_attribute(self.weight_key, 1.0)

    def setUp(self):
        """Build test model and optimizer"""
        IMP.test.TestCase.setUp(self)
        IMP.base.set_log_level(IMP.base.SILENT)
        #IMP.base.set_check_level(IMP.base.NONE)
        self.imp_model = IMP.Model()
        self.load_density_map()
        self.load_protein("1z5s_A.pdb")

    def test_local_fitting(self):
        """Check that the local rigid fitting grid search works"""
        #create a rigid body
        print "start : "
        fr=IMP.em.local_rigid_fitting_grid_search(
            self.particles,
            self.weight_key,
            self.scene,
            2,1,0.174,3)
        print "end"
        #test that if you apply the transformation on the original configuration you get the same result
        # (in rmsd and score)

        #second, test that the optimization gets you close.
        score = self.imp_model.evaluate(False)
        print fr.get_number_of_solutions()
        self.assertGreaterEqual(fr.get_number_of_solutions(), 2,
                                "not enough solutions returned")
        self.assertLess(fr.get_score(0), fr.get_score(1),
                        "solutions are not sorted")
        for i in xrange(fr.get_number_of_solutions()):
            print "score",fr.get_score(i)
            self.assertLess(fr.get_score(i), 1.0, "wrong CC values")

if __name__ == '__main__':
    IMP.test.main()