from .. import contiguity as c
from ..weights import W
from .. import util
from ...common import pandas
from ...io.fileio import FileIO as ps_open
from ...io import geotable as pdio

from ... import examples as pysal_examples
import unittest as ut
import numpy as np

PANDAS_EXTINCT = pandas is None
try:
    import geopandas
    GEOPANDAS_EXTINCT = False
except ImportError:
    GEOPANDAS_EXTINCT = True

class Contiguity_Mixin(object):
    polygon_path = pysal_examples.get_path('columbus.shp')
    point_path = pysal_examples.get_path('baltim.shp')
    f = ps_open(polygon_path) # our file handler
    polygons = f.read() # our iterable
    f.seek(0) #go back to head of file
    cls = object # class constructor
    known_wi = None #index of known w entry to compare
    known_w = dict() #actual w entry
    known_name = known_wi
    known_namedw = known_w
    idVariable = None # id variable from file or column

    def setUp(self):
        self.__dict__.update({k:v for k,v in list(Contiguity_Mixin.__dict__.items())
            if not k.startswith('_')})
    
    def runTest(self):
        pass 

    def test_init(self):
        # basic
        w = self.cls(self.polygons)
        self.assertEqual(w[self.known_wi], self.known_w)

        # sparse
        #w = self.cls(self.polygons, sparse=True)
        #srowvec = ws.sparse[self.known_wi].todense().tolist()[0]
        #this_w = {i:k for i,k in enumerate(srowvec) if k>0}
        #self.assertEqual(this_w, self.known_w)
        #ids = ps.weights2.utils.get_ids(self.polygon_path, self.idVariable)

        # named
        ids = util.get_ids(self.polygon_path, self.idVariable)
        w = self.cls(self.polygons, ids = ids)
        self.assertEqual(w[self.known_name], self.known_namedw)

    def test_from_iterable(self):
        w = self.cls.from_iterable(self.f)
        self.f.seek(0)
        self.assertEqual(w[self.known_wi], self.known_w)
        
    def test_from_shapefile(self):
        # basic
        w = self.cls.from_shapefile(self.polygon_path)
        self.assertEqual(w[self.known_wi], self.known_w)

        # sparse
        ws = self.cls.from_shapefile(self.polygon_path, sparse=True)
        srowvec = ws.sparse[self.known_wi].todense().tolist()[0]
        this_w = {i:k for i,k in enumerate(srowvec) if k>0}
        self.assertEqual(this_w, self.known_w)

        # named
        w = self.cls.from_shapefile(self.polygon_path, idVariable=self.idVariable)
        self.assertEqual(w[self.known_name], self.known_namedw)

    def test_from_array(self):
        # test named, sparse from point array
        pass 

    @ut.skipIf(PANDAS_EXTINCT, 'Missing pandas')
    def test_from_dataframe(self):
        # basic
        df = pdio.read_files(self.polygon_path)
        w = self.cls.from_dataframe(df)
        self.assertEqual(w[self.known_wi], self.known_w)

        # named geometry
        df.rename(columns={'geometry':'the_geom'}, inplace=True)
        w = self.cls.from_dataframe(df, geom_col = 'the_geom')
        self.assertEqual(w[self.known_wi], self.known_w)

        # named geometry + named obs
        w = self.cls.from_dataframe(df, geom_col='the_geom', idVariable=self.idVariable)
        self.assertEqual(w[self.known_name], self.known_namedw)


class Test_Queen(ut.TestCase, Contiguity_Mixin):
    def setUp(self):
        Contiguity_Mixin.setUp(self)
        
        self.known_wi = 4
        self.known_w  = {2: 1.0, 3: 1.0, 5: 1.0, 7: 1.0,
                             8: 1.0, 10: 1.0, 14: 1.0, 15: 1.0}
        self.cls = c.Queen
        self.idVariable = 'POLYID'
        self.known_name = 5
        self.known_namedw = {k+1:v for k,v in list(self.known_w.items())}

    @ut.skipIf(GEOPANDAS_EXTINCT, 'Missing Geopandas')
    def test_linestrings(self):
        import geopandas 
        eberly = geopandas.read_file(pysal_examples.get_path("eberly_net.shp")).iloc[0:8]
        eberly_w = {0: [1,2,3],
                    1: [0,4],
                    2: [0,3,4,5],
                    3: [0,2,7],
                    4: [1,2,5],
                    5: [2,4,6],
                    6: [5],
                    7: [3]}
        eberly_w = W(neighbors=eberly_w).sparse.toarray()
        computed = self.cls.from_dataframe(eberly).sparse.toarray()
        np.testing.assert_array_equal(eberly_w, computed)

class Test_Rook(ut.TestCase, Contiguity_Mixin):
    def setUp(self):
        Contiguity_Mixin.setUp(self)
        
        self.known_w = {2: 1.0, 3: 1.0, 5: 1.0, 7: 1.0, 
                             8: 1.0, 10: 1.0, 14: 1.0}
        self.known_wi = 4
        self.cls = c.Rook
        self.idVariable = 'POLYID'
        self.known_name = 5
        self.known_namedw = {k+1:v for k,v in list(self.known_w.items())}

class Test_Voronoi(ut.TestCase):
    def test_voronoiW(self):
        np.random.seed(12345)
        points = np.random.random((5,2))*10 + 10
        w = c.Voronoi(points)
        self.assertEqual(w.n, 5)
        self.assertEqual(w.neighbors, {0: [1, 2, 3, 4],
                                        1: [0, 2], 2: [0, 1, 4],
                                        3: [0, 4], 4: [0, 2, 3]})

q = ut.TestLoader().loadTestsFromTestCase(Test_Queen)
r = ut.TestLoader().loadTestsFromTestCase(Test_Rook)
suite = ut.TestSuite([q, r])
if __name__ == '__main__':
    runner = ut.TextTestRunner()
    runner.run(suite)
