from __future__ import absolute_import

from datetime import date

from django.contrib.gis.geos import GEOSGeometry, Point, MultiPoint
from django.contrib.gis.db.models import Collect, Count, Extent, F, Union
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.tests.utils import mysql, oracle, no_mysql, no_oracle, no_spatialite
from django.test import TestCase

from .models import City, Location, DirectoryEntry, Parcel, Book, Author, Article


class RelatedGeoModelTest(TestCase):

    def test02_select_related(self):
        "Testing `select_related` on geographic models (see #7126)."
        qs1 = City.objects.all()
        qs2 = City.objects.select_related()
        qs3 = City.objects.select_related('location')

        # Reference data for what's in the fixtures.
        cities = (
            ('Aurora', 'TX', -97.516111, 33.058333),
            ('Roswell', 'NM', -104.528056, 33.387222),
            ('Kecksburg', 'PA',  -79.460734, 40.18476),
        )

        for qs in (qs1, qs2, qs3):
            for ref, c in zip(cities, qs):
                nm, st, lon, lat = ref
                self.assertEqual(nm, c.name)
                self.assertEqual(st, c.state)
                self.assertEqual(Point(lon, lat), c.location.point)

    @no_mysql
    def test03_transform_related(self):
        "Testing the `transform` GeoQuerySet method on related geographic models."
        # All the transformations are to state plane coordinate systems using
        # US Survey Feet (thus a tolerance of 0 implies error w/in 1 survey foot).
        tol = 0

        def check_pnt(ref, pnt):
            self.assertAlmostEqual(ref.x, pnt.x, tol)
            self.assertAlmostEqual(ref.y, pnt.y, tol)
            self.assertEqual(ref.srid, pnt.srid)

        # Each city transformed to the SRID of their state plane coordinate system.
        transformed = (('Kecksburg', 2272, 'POINT(1490553.98959621 314792.131023984)'),
                       ('Roswell', 2257, 'POINT(481902.189077221 868477.766629735)'),
                       ('Aurora', 2276, 'POINT(2269923.2484839 7069381.28722222)'),
                       )

        for name, srid, wkt in transformed:
            # Doing this implicitly sets `select_related` select the location.
            # TODO: Fix why this breaks on Oracle.
            qs = list(City.objects.filter(name=name).transform(srid, field_name='location__point'))
            check_pnt(GEOSGeometry(wkt, srid), qs[0].location.point)

    @no_mysql
    @no_spatialite
    def test04a_related_extent_aggregate(self):
        "Testing the `extent` GeoQuerySet aggregates on related geographic models."
        # This combines the Extent and Union aggregates into one query
        aggs = City.objects.aggregate(Extent('location__point'))

        # One for all locations, one that excludes New Mexico (Roswell).
        all_extent = (-104.528056, 29.763374, -79.460734, 40.18476)
        txpa_extent = (-97.516111, 29.763374, -79.460734, 40.18476)
        e1 = City.objects.extent(field_name='location__point')
        e2 = City.objects.exclude(state='NM').extent(field_name='location__point')
        e3 = aggs['location__point__extent']

        # The tolerance value is to four decimal places because of differences
        # between the Oracle and PostGIS spatial backends on the extent calculation.
        tol = 4
        for ref, e in [(all_extent, e1), (txpa_extent, e2), (all_extent, e3)]:
            for ref_val, e_val in zip(ref, e): self.assertAlmostEqual(ref_val, e_val, tol)

    @no_mysql
    def test04b_related_union_aggregate(self):
        "Testing the `unionagg` GeoQuerySet aggregates on related geographic models."
        # This combines the Extent and Union aggregates into one query
        aggs = City.objects.aggregate(Union('location__point'))

        # These are the points that are components of the aggregate geographic
        # union that is returned.  Each point # corresponds to City PK.
        p1 = Point(-104.528056, 33.387222)
        p2 = Point(-97.516111, 33.058333)
        p3 = Point(-79.460734, 40.18476)
        p4 = Point(-96.801611, 32.782057)
        p5 = Point(-95.363151, 29.763374)

        # Creating the reference union geometry depending on the spatial backend,
        # as Oracle will have a different internal ordering of the component
        # geometries than PostGIS.  The second union aggregate is for a union
        # query that includes limiting information in the WHERE clause (in other
        # words a `.filter()` precedes the call to `.unionagg()`).
        if oracle:
            ref_u1 = MultiPoint(p4, p5, p3, p1, p2, srid=4326)
            ref_u2 = MultiPoint(p3, p2, srid=4326)
        else:
            # Looks like PostGIS points by longitude value.
            ref_u1 = MultiPoint(p1, p2, p4, p5, p3, srid=4326)
            ref_u2 = MultiPoint(p2, p3, srid=4326)

        u1 = City.objects.unionagg(field_name='location__point')
        u2 = City.objects.exclude(name__in=('Roswell', 'Houston', 'Dallas', 'Fort Worth')).unionagg(field_name='location__point')
        u3 = aggs['location__point__union']

        self.assertEqual(ref_u1, u1)
        self.assertEqual(ref_u2, u2)
        self.assertEqual(ref_u1, u3)

    def test05_select_related_fk_to_subclass(self):
        "Testing that calling select_related on a query over a model with an FK to a model subclass works"
        # Regression test for #9752.
        l = list(DirectoryEntry.objects.all().select_related())

    def test06_f_expressions(self):
        "Testing F() expressions on GeometryFields."
        # Constructing a dummy parcel border and getting the City instance for
        # assigning the FK.
        b1 = GEOSGeometry('POLYGON((-97.501205 33.052520,-97.501205 33.052576,-97.501150 33.052576,-97.501150 33.052520,-97.501205 33.052520))', srid=4326)
        pcity = City.objects.get(name='Aurora')

        # First parcel has incorrect center point that is equal to the City;
        # it also has a second border that is different from the first as a
        # 100ft buffer around the City.
        c1 = pcity.location.point
        c2 = c1.transform(2276, clone=True)
        b2 = c2.buffer(100)
        p1 = Parcel.objects.create(name='P1', city=pcity, center1=c1, center2=c2, border1=b1, border2=b2)

        # Now creating a second Parcel where the borders are the same, just
        # in different coordinate systems.  The center points are also the
        # same (but in different coordinate systems), and this time they
        # actually correspond to the centroid of the border.
        c1 = b1.centroid
        c2 = c1.transform(2276, clone=True)
        p2 = Parcel.objects.create(name='P2', city=pcity, center1=c1, center2=c2, border1=b1, border2=b1)

        # Should return the second Parcel, which has the center within the
        # border.
        qs = Parcel.objects.filter(center1__within=F('border1'))
        self.assertEqual(1, len(qs))
        self.assertEqual('P2', qs[0].name)

        if not mysql:
            # This time center2 is in a different coordinate system and needs
            # to be wrapped in transformation SQL.
            qs = Parcel.objects.filter(center2__within=F('border1'))
            self.assertEqual(1, len(qs))
            self.assertEqual('P2', qs[0].name)

        # Should return the first Parcel, which has the center point equal
        # to the point in the City ForeignKey.
        qs = Parcel.objects.filter(center1=F('city__location__point'))
        self.assertEqual(1, len(qs))
        self.assertEqual('P1', qs[0].name)

        if not mysql:
            # This time the city column should be wrapped in transformation SQL.
            qs = Parcel.objects.filter(border2__contains=F('city__location__point'))
            self.assertEqual(1, len(qs))
            self.assertEqual('P1', qs[0].name)

    def test07_values(self):
        "Testing values() and values_list() and GeoQuerySets."
        # GeoQuerySet and GeoValuesQuerySet, and GeoValuesListQuerySet respectively.
        gqs = Location.objects.all()
        gvqs = Location.objects.values()
        gvlqs = Location.objects.values_list()

        # Incrementing through each of the models, dictionaries, and tuples
        # returned by the different types of GeoQuerySets.
        for m, d, t in zip(gqs, gvqs, gvlqs):
            # The values should be Geometry objects and not raw strings returned
            # by the spatial database.
            self.assertTrue(isinstance(d['point'], Geometry))
            self.assertTrue(isinstance(t[1], Geometry))
            self.assertEqual(m.point, d['point'])
            self.assertEqual(m.point, t[1])

    def test08_defer_only(self):
        "Testing defer() and only() on Geographic models."
        qs = Location.objects.all()
        def_qs = Location.objects.defer('point')
        for loc, def_loc in zip(qs, def_qs):
            self.assertEqual(loc.point, def_loc.point)

    def test09_pk_relations(self):
        "Ensuring correct primary key column is selected across relations. See #10757."
        # The expected ID values -- notice the last two location IDs
        # are out of order.  Dallas and Houston have location IDs that differ
        # from their PKs -- this is done to ensure that the related location
        # ID column is selected instead of ID column for the city.
        city_ids = (1, 2, 3, 4, 5)
        loc_ids = (1, 2, 3, 5, 4)
        ids_qs = City.objects.order_by('id').values('id', 'location__id')
        for val_dict, c_id, l_id in zip(ids_qs, city_ids, loc_ids):
            self.assertEqual(val_dict['id'], c_id)
            self.assertEqual(val_dict['location__id'], l_id)

    def test10_combine(self):
        "Testing the combination of two GeoQuerySets.  See #10807."
        buf1 = City.objects.get(name='Aurora').location.point.buffer(0.1)
        buf2 = City.objects.get(name='Kecksburg').location.point.buffer(0.1)
        qs1 = City.objects.filter(location__point__within=buf1)
        qs2 = City.objects.filter(location__point__within=buf2)
        combined = qs1 | qs2
        names = [c.name for c in combined]
        self.assertEqual(2, len(names))
        self.assertTrue('Aurora' in names)
        self.assertTrue('Kecksburg' in names)

    def test11_geoquery_pickle(self):
        "Ensuring GeoQuery objects are unpickled correctly.  See #10839."
        import pickle
        from django.contrib.gis.db.models.sql import GeoQuery
        qs = City.objects.all()
        q_str = pickle.dumps(qs.query)
        q = pickle.loads(q_str)
        self.assertEqual(GeoQuery, q.__class__)

    # TODO: fix on Oracle -- get the following error because the SQL is ordered
    # by a geometry object, which Oracle apparently doesn't like:
    #  ORA-22901: cannot compare nested table or VARRAY or LOB attributes of an object type
    @no_oracle
    def test12a_count(self):
        "Testing `Count` aggregate use with the `GeoManager` on geo-fields."
        # The City, 'Fort Worth' uses the same location as Dallas.
        dallas = City.objects.get(name='Dallas')

        # Count annotation should be 2 for the Dallas location now.
        loc = Location.objects.annotate(num_cities=Count('city')).get(id=dallas.location.id)
        self.assertEqual(2, loc.num_cities)

    def test12b_count(self):
        "Testing `Count` aggregate use with the `GeoManager` on non geo-fields. See #11087."
        # Should only be one author (Trevor Paglen) returned by this query, and
        # the annotation should have 3 for the number of books, see #11087.
        # Also testing with a `GeoValuesQuerySet`, see #11489.
        qs = Author.objects.annotate(num_books=Count('books')).filter(num_books__gt=1)
        vqs = Author.objects.values('name').annotate(num_books=Count('books')).filter(num_books__gt=1)
        self.assertEqual(1, len(qs))
        self.assertEqual(3, qs[0].num_books)
        self.assertEqual(1, len(vqs))
        self.assertEqual(3, vqs[0]['num_books'])

    def test13c_count(self):
        "Testing `Count` aggregate with `.values()`.  See #15305."
        qs = Location.objects.filter(id=5).annotate(num_cities=Count('city')).values('id', 'point', 'num_cities')
        self.assertEqual(1, len(qs))
        self.assertEqual(2, qs[0]['num_cities'])
        self.assertTrue(isinstance(qs[0]['point'], GEOSGeometry))

    # TODO: The phantom model does appear on Oracle.
    @no_oracle
    def test13_select_related_null_fk(self):
        "Testing `select_related` on a nullable ForeignKey via `GeoManager`. See #11381."
        no_author = Book.objects.create(title='Without Author')
        b = Book.objects.select_related('author').get(title='Without Author')
        # Should be `None`, and not a 'dummy' model.
        self.assertEqual(None, b.author)

    @no_mysql
    @no_oracle
    @no_spatialite
    def test14_collect(self):
        "Testing the `collect` GeoQuerySet method and `Collect` aggregate."
        # Reference query:
        # SELECT AsText(ST_Collect("relatedapp_location"."point")) FROM "relatedapp_city" LEFT OUTER JOIN
        #    "relatedapp_location" ON ("relatedapp_city"."location_id" = "relatedapp_location"."id")
        #    WHERE "relatedapp_city"."state" = 'TX';
        ref_geom = GEOSGeometry('MULTIPOINT(-97.516111 33.058333,-96.801611 32.782057,-95.363151 29.763374,-96.801611 32.782057)')

        c1 = City.objects.filter(state='TX').collect(field_name='location__point')
        c2 = City.objects.filter(state='TX').aggregate(Collect('location__point'))['location__point__collect']

        for coll in (c1, c2):
            # Even though Dallas and Ft. Worth share same point, Collect doesn't
            # consolidate -- that's why 4 points in MultiPoint.
            self.assertEqual(4, len(coll))
            self.assertEqual(ref_geom, coll)

    def test15_invalid_select_related(self):
        "Testing doing select_related on the related name manager of a unique FK. See #13934."
        qs = Article.objects.select_related('author__article')
        # This triggers TypeError when `get_default_columns` has no `local_only`
        # keyword.  The TypeError is swallowed if QuerySet is actually
        # evaluated as list generation swallows TypeError in CPython.
        sql = str(qs.query)

    def test16_annotated_date_queryset(self):
        "Ensure annotated date querysets work if spatial backend is used.  See #14648."
        birth_years = [dt.year for dt in
                       list(Author.objects.annotate(num_books=Count('books')).dates('dob', 'year'))]
        birth_years.sort()
        self.assertEqual([1950, 1974], birth_years)

    # TODO: Related tests for KML, GML, and distance lookups.