Exemple #1
0
def setupTreemapEnv():
    def local_render_to_response(*args, **kwargs):
        from django.template import loader
        from django.http import HttpResponse

        httpresponse_kwargs = {'mimetype': kwargs.pop('mimetype', None)}
        hr = HttpResponse(
            loader.render_to_string(*args, **kwargs), **httpresponse_kwargs)

        if hasattr(args[1], 'dicts'):
            hr.request_context = args[1].dicts

        return hr

    django.shortcuts.render_to_response = local_render_to_response

    instance = make_instance(is_public=True)

    make_user_with_default_role(instance, 'jim')
    commander = make_commander_user(instance, 'commander')
    make_apprentice_user(instance, 'apprentice')

    n1geom = MultiPolygon(Polygon(
        ((0, 0), (100, 0), (100, 100), (0, 100), (0, 0))))

    n2geom = MultiPolygon(
        Polygon(((0, 101), (101, 101), (101, 200), (0, 200), (0, 101))))

    n1 = Boundary(name="n1", category='blah', sort_order=4, geom=n1geom)
    n2 = Boundary(name="n2", category='blah', sort_order=4, geom=n2geom)

    n1.save()
    n2.save()

    s1 = Species(otm_code="s1", genus="testus1", species="specieius1",
                 cultivar='', instance=instance)
    s2 = Species(otm_code="s2", genus="testus2", species="specieius2",
                 cultivar='', instance=instance)
    s3 = Species(otm_code="s3", genus="testus2", species="specieius3",
                 cultivar='', instance=instance)

    s1.native_status = True
    s1.fall_conspicuous = True
    s1.flower_conspicuous = True
    s1.palatable_human = True

    s2.native_status = True
    s2.fall_conspicuous = False
    s2.flower_conspicuous = True
    s2.palatable_human = False
    s2.wildlife_value = True

    s3.wildlife_value = True

    s1.save_with_user(commander)
    s2.save_with_user(commander)
    s3.save_with_user(commander)

    return instance
Exemple #2
0
def setupTreemapEnv():
    settings.GEOSERVER_GEO_LAYER = ""
    settings.GEOSERVER_GEO_STYLE = ""
    settings.GEOSERVER_URL = ""

    def local_render_to_response(*args, **kwargs):
        from django.template import loader, RequestContext
        from django.http import HttpResponse

        httpresponse_kwargs = {"mimetype": kwargs.pop("mimetype", None)}
        hr = HttpResponse(loader.render_to_string(*args, **kwargs), **httpresponse_kwargs)

        if hasattr(args[1], "dicts"):
            hr.request_context = args[1].dicts

        return hr

    django.shortcuts.render_to_response = local_render_to_response

    r1 = ReputationAction(name="edit verified", description="blah")
    r2 = ReputationAction(name="edit tree", description="blah")
    r3 = ReputationAction(name="Administrative Action", description="blah")
    r4 = ReputationAction(name="add tree", description="blah")
    r5 = ReputationAction(name="edit plot", description="blah")
    r6 = ReputationAction(name="add plot", description="blah")
    r7 = ReputationAction(name="add stewardship", description="blah")
    r8 = ReputationAction(name="remove stewardship", description="blah")

    for r in [r1, r2, r3, r4, r5, r6, r7, r8]:
        r.save()

    bv = BenefitValues(
        co2=0.02,
        pm10=9.41,
        area="InlandValleys",
        electricity=0.1166,
        voc=4.69,
        ozone=5.0032,
        natural_gas=1.25278,
        nox=12.79,
        stormwater=0.0078,
        sox=3.72,
        bvoc=4.96,
    )

    bv.save()

    dbh = "[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]"
    dbh2 = "[2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]"

    rsrc1 = Resource(meta_species="BDM OTHER", region="NoEastXXX")
    rsrc2 = Resource(meta_species="BDL OTHER", region="NoEastXXX")

    rsrc1.save()
    rsrc2.save()

    u = User.objects.filter(username="******")

    if u:
        u = u[0]
    else:
        u = User.objects.create_user("jim", "*****@*****.**", "jim")
        u.is_staff = True
        u.is_superuser = True
        u.save()
        up = UserProfile(user=u)
        up.save()
        u.reputation = Reputation(user=u)
        u.reputation.save()

    amy_filter_result = User.objects.filter(username="******")
    if not amy_filter_result:
        amy = User.objects.create_user("amy", "*****@*****.**", "amy")
    else:
        amy = amy_filter_result[0]
        amy.is_staff = False
        amy.is_superuser = False
        amy.save()
        amy_profile = UserProfile(user=amy)
        amy_profile.save()
        amy.reputation = Reputation(user=amy)
        amy.reputation.save()

    olivia_filter_result = User.objects.filter(username="******")
    if not amy_filter_result:
        olivia = User.objects.create_user("olivia", "*****@*****.**", "olivia")
    else:
        olivia = olivia_filter_result[0]
        olivia.is_staff = False
        olivia.is_superuser = False
        olivia.save()
        olivia_profile = UserProfile(user=olivia)
        olivia_profile.save()
        olivia.reputation = Reputation(user=olivia)
        olivia.reputation.save()

    n1geom = MultiPolygon(Polygon(((0, 0), (100, 0), (100, 100), (0, 100), (0, 0))))
    n2geom = MultiPolygon(Polygon(((0, 101), (101, 101), (101, 200), (0, 200), (0, 101))))

    n1 = Neighborhood(name="n1", region_id=2, city="c1", state="PA", county="PAC", geometry=n1geom)
    n2 = Neighborhood(name="n2", region_id=2, city="c2", state="NY", county="NYC", geometry=n2geom)

    n1.save()
    n2.save()

    z1geom = MultiPolygon(Polygon(((0, 0), (100, 0), (100, 100), (0, 100), (0, 0))))
    z2geom = MultiPolygon(Polygon(((0, 100), (100, 100), (100, 200), (0, 200), (0, 100))))

    z1 = ZipCode(zip="19107", geometry=z1geom)
    z2 = ZipCode(zip="10001", geometry=z2geom)

    z1.save()
    z2.save()

    exgeom1 = MultiPolygon(Polygon(((0, 0), (25, 0), (25, 25), (0, 25), (0, 0))))
    ex1 = ExclusionMask(geometry=exgeom1, type="building")

    ex1.save()

    agn1 = AggregateNeighborhood(
        annual_stormwater_management=0.0,
        annual_electricity_conserved=0.0,
        annual_energy_conserved=0.0,
        annual_natural_gas_conserved=0.0,
        annual_air_quality_improvement=0.0,
        annual_co2_sequestered=0.0,
        annual_co2_avoided=0.0,
        annual_co2_reduced=0.0,
        total_co2_stored=0.0,
        annual_ozone=0.0,
        annual_nox=0.0,
        annual_pm10=0.0,
        annual_sox=0.0,
        annual_voc=0.0,
        annual_bvoc=0.0,
        total_trees=0,
        total_plots=0,
        location=n1,
    )

    agn2 = AggregateNeighborhood(
        annual_stormwater_management=0.0,
        annual_electricity_conserved=0.0,
        annual_energy_conserved=0.0,
        annual_natural_gas_conserved=0.0,
        annual_air_quality_improvement=0.0,
        annual_co2_sequestered=0.0,
        annual_co2_avoided=0.0,
        annual_co2_reduced=0.0,
        total_co2_stored=0.0,
        annual_ozone=0.0,
        annual_nox=0.0,
        annual_pm10=0.0,
        annual_sox=0.0,
        annual_voc=0.0,
        annual_bvoc=0.0,
        total_trees=0,
        total_plots=0,
        location=n2,
    )

    agn1.save()
    agn2.save()

    s1 = Species(symbol="s1", genus="testus1", species="specieius1", cultivar_name="", family="", alternate_symbol="a1")
    s2 = Species(symbol="s2", genus="testus2", species="specieius2", cultivar_name="", family="", alternate_symbol="a2")
    s3 = Species(symbol="s3", genus="testus2", species="specieius3", cultivar_name="", family="", alternate_symbol="a3")

    s1.native_status = "True"
    s1.fall_conspicuous = True
    s1.flower_conspicuous = True
    s1.palatable_human = True

    s2.native_status = "True"
    s2.fall_conspicuous = False
    s2.flower_conspicuous = True
    s2.palatable_human = False
    s2.wildlife_value = True

    s3.wildlife_value = True

    s1.save()
    s2.save()
    s3.save()

    s1.resource.add(rsrc1)
    s2.resource.add(rsrc2)
    s3.resource.add(rsrc2)

    ie = ImportEvent(file_name="site_add")
    ie.save()
def setupTreemapEnv():
    def local_render_to_response(*args, **kwargs):
        from django.template import loader
        from django.http import HttpResponse

        httpresponse_kwargs = {'mimetype': kwargs.pop('mimetype', None)}
        hr = HttpResponse(loader.render_to_string(*args, **kwargs),
                          **httpresponse_kwargs)

        if hasattr(args[1], 'dicts'):
            hr.request_context = args[1].dicts

        return hr

    django.shortcuts.render_to_response = local_render_to_response

    instance = make_instance(is_public=True)

    make_user_with_default_role(instance, 'jim')
    commander = make_commander_user(instance, 'commander')
    make_apprentice_user(instance, 'apprentice')

    n1geom = MultiPolygon(
        Polygon(((0, 0), (100, 0), (100, 100), (0, 100), (0, 0))))

    n2geom = MultiPolygon(
        Polygon(((0, 101), (101, 101), (101, 200), (0, 200), (0, 101))))

    n1 = Boundary(name="n1", category='blah', sort_order=4, geom=n1geom)
    n2 = Boundary(name="n2", category='blah', sort_order=4, geom=n2geom)

    n1.save()
    n2.save()

    s1 = Species(otm_code="s1",
                 genus="testus1",
                 species="specieius1",
                 cultivar='',
                 instance=instance)
    s2 = Species(otm_code="s2",
                 genus="testus2",
                 species="specieius2",
                 cultivar='',
                 instance=instance)
    s3 = Species(otm_code="s3",
                 genus="testus2",
                 species="specieius3",
                 cultivar='',
                 instance=instance)

    s1.native_status = True
    s1.fall_conspicuous = True
    s1.flower_conspicuous = True
    s1.palatable_human = True

    s2.native_status = True
    s2.fall_conspicuous = False
    s2.flower_conspicuous = True
    s2.palatable_human = False
    s2.wildlife_value = True

    s3.wildlife_value = True

    s1.save_with_user(commander)
    s2.save_with_user(commander)
    s3.save_with_user(commander)

    return instance
Exemple #4
0
def setupTreemapEnv():
    settings.GEOSERVER_GEO_LAYER = ""
    settings.GEOSERVER_GEO_STYLE = ""
    settings.GEOSERVER_URL = ""

    def local_render_to_response(*args, **kwargs):
        from django.template import loader, RequestContext
        from django.http import HttpResponse

        httpresponse_kwargs = {'mimetype': kwargs.pop('mimetype', None)}
        hr = HttpResponse(loader.render_to_string(*args, **kwargs),
                          **httpresponse_kwargs)

        if hasattr(args[1], 'dicts'):
            hr.request_context = args[1].dicts

        return hr

    django.shortcuts.render_to_response = local_render_to_response

    r1 = ReputationAction(name="edit verified", description="blah")
    r2 = ReputationAction(name="edit tree", description="blah")
    r3 = ReputationAction(name="Administrative Action", description="blah")
    r4 = ReputationAction(name="add tree", description="blah")
    r5 = ReputationAction(name="edit plot", description="blah")
    r6 = ReputationAction(name="add plot", description="blah")
    r7 = ReputationAction(name="add stewardship", description="blah")
    r8 = ReputationAction(name="remove stewardship", description="blah")

    for r in [r1, r2, r3, r4, r5, r6, r7, r8]:
        r.save()

    bv = BenefitValues(co2=0.02,
                       pm10=9.41,
                       area="InlandValleys",
                       electricity=0.1166,
                       voc=4.69,
                       ozone=5.0032,
                       natural_gas=1.25278,
                       nox=12.79,
                       stormwater=0.0078,
                       sox=3.72,
                       bvoc=4.96)

    bv.save()

    dbh = "[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]"
    dbh2 = "[2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]"

    rsrc1 = Resource(meta_species="BDM OTHER", region="NoEastXXX")
    rsrc2 = Resource(meta_species="BDL OTHER", region="NoEastXXX")

    rsrc1.save()
    rsrc2.save()

    u = User.objects.filter(username="******")

    if u:
        u = u[0]
    else:
        u = User.objects.create_user("jim", "*****@*****.**", "jim")
        u.is_staff = True
        u.is_superuser = True
        u.save()
        up = UserProfile(user=u)
        up.save()
        u.reputation = Reputation(user=u)
        u.reputation.save()

    amy_filter_result = User.objects.filter(username="******")
    if not amy_filter_result:
        amy = User.objects.create_user("amy", "*****@*****.**", "amy")
    else:
        amy = amy_filter_result[0]
        amy.is_staff = False
        amy.is_superuser = False
        amy.save()
        amy_profile = UserProfile(user=amy)
        amy_profile.save()
        amy.reputation = Reputation(user=amy)
        amy.reputation.save()

    olivia_filter_result = User.objects.filter(username="******")
    if not amy_filter_result:
        olivia = User.objects.create_user("olivia", "*****@*****.**",
                                          "olivia")
    else:
        olivia = olivia_filter_result[0]
        olivia.is_staff = False
        olivia.is_superuser = False
        olivia.save()
        olivia_profile = UserProfile(user=olivia)
        olivia_profile.save()
        olivia.reputation = Reputation(user=olivia)
        olivia.reputation.save()

    n1geom = MultiPolygon(
        Polygon(((0, 0), (100, 0), (100, 100), (0, 100), (0, 0))))
    n2geom = MultiPolygon(
        Polygon(((0, 101), (101, 101), (101, 200), (0, 200), (0, 101))))

    n1 = Neighborhood(name="n1",
                      region_id=2,
                      city="c1",
                      state="PA",
                      county="PAC",
                      geometry=n1geom)
    n2 = Neighborhood(name="n2",
                      region_id=2,
                      city="c2",
                      state="NY",
                      county="NYC",
                      geometry=n2geom)

    n1.save()
    n2.save()

    z1geom = MultiPolygon(
        Polygon(((0, 0), (100, 0), (100, 100), (0, 100), (0, 0))))
    z2geom = MultiPolygon(
        Polygon(((0, 100), (100, 100), (100, 200), (0, 200), (0, 100))))

    z1 = ZipCode(zip="19107", geometry=z1geom)
    z2 = ZipCode(zip="10001", geometry=z2geom)

    z1.save()
    z2.save()

    exgeom1 = MultiPolygon(
        Polygon(((0, 0), (25, 0), (25, 25), (0, 25), (0, 0))))
    ex1 = ExclusionMask(geometry=exgeom1, type="building")

    ex1.save()

    agn1 = AggregateNeighborhood(annual_stormwater_management=0.0,
                                 annual_electricity_conserved=0.0,
                                 annual_energy_conserved=0.0,
                                 annual_natural_gas_conserved=0.0,
                                 annual_air_quality_improvement=0.0,
                                 annual_co2_sequestered=0.0,
                                 annual_co2_avoided=0.0,
                                 annual_co2_reduced=0.0,
                                 total_co2_stored=0.0,
                                 annual_ozone=0.0,
                                 annual_nox=0.0,
                                 annual_pm10=0.0,
                                 annual_sox=0.0,
                                 annual_voc=0.0,
                                 annual_bvoc=0.0,
                                 total_trees=0,
                                 total_plots=0,
                                 location=n1)

    agn2 = AggregateNeighborhood(annual_stormwater_management=0.0,
                                 annual_electricity_conserved=0.0,
                                 annual_energy_conserved=0.0,
                                 annual_natural_gas_conserved=0.0,
                                 annual_air_quality_improvement=0.0,
                                 annual_co2_sequestered=0.0,
                                 annual_co2_avoided=0.0,
                                 annual_co2_reduced=0.0,
                                 total_co2_stored=0.0,
                                 annual_ozone=0.0,
                                 annual_nox=0.0,
                                 annual_pm10=0.0,
                                 annual_sox=0.0,
                                 annual_voc=0.0,
                                 annual_bvoc=0.0,
                                 total_trees=0,
                                 total_plots=0,
                                 location=n2)

    agn1.save()
    agn2.save()

    s1 = Species(symbol="s1",
                 genus="testus1",
                 species="specieius1",
                 cultivar_name='',
                 family='',
                 alternate_symbol='a1')
    s2 = Species(symbol="s2",
                 genus="testus2",
                 species="specieius2",
                 cultivar_name='',
                 family='',
                 alternate_symbol='a2')
    s3 = Species(symbol="s3",
                 genus="testus2",
                 species="specieius3",
                 cultivar_name='',
                 family='',
                 alternate_symbol='a3')

    s1.native_status = 'True'
    s1.fall_conspicuous = True
    s1.flower_conspicuous = True
    s1.palatable_human = True

    s2.native_status = 'True'
    s2.fall_conspicuous = False
    s2.flower_conspicuous = True
    s2.palatable_human = False
    s2.wildlife_value = True

    s3.wildlife_value = True

    s1.save()
    s2.save()
    s3.save()

    s1.resource.add(rsrc1)
    s2.resource.add(rsrc2)
    s3.resource.add(rsrc2)

    ie = ImportEvent(file_name='site_add')
    ie.save()