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import support |
import support |
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support.initthuban() |
support.initthuban() |
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from Thuban.Model.load import load_session |
from Thuban.Model.load import load_session, parse_color |
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from Thuban.Model.session import Session |
from Thuban.Model.session import Session |
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from Thuban.Model.map import Map |
from Thuban.Model.map import Map |
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from Thuban.Model.layer import Layer |
from Thuban.Model.layer import Layer |
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from Thuban.Model.proj import Projection |
from Thuban.Model.proj import Projection |
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from Thuban.Model.color import Color |
from Thuban.Model.color import Color |
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from Thuban.Model.table import FIELDTYPE_INT, FIELDTYPE_DOUBLE, FIELDTYPE_STRING |
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from Thuban.Model.classification import ClassGroupProperties, ClassGroupRange,\ |
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ClassGroupSingleton, ClassGroupDefault |
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def filenames_equal(name1, name2): |
def filenames_equal(name1, name2): |
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"""Return true if the filenames name1 and name2 are equal. |
"""Return true if the filenames name1 and name2 are equal. |
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eq(layer.GetClassification().GetDefaultFill(), Color.Transparent) |
eq(layer.GetClassification().GetDefaultFill(), Color.Transparent) |
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eq(layer.GetClassification().GetDefaultLineColor().hex(), "#000000") |
eq(layer.GetClassification().GetDefaultLineColor().hex(), "#000000") |
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self.session.Destroy() |
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self.session = None |
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def testClassification(self): |
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"""Load a session with a map and classified layers.""" |
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eq = self.assertEquals |
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session = load_session("../Data/iceland_sample_test.thuban") |
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self.session = session |
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map = self.session.Maps()[0] # only one map in the sample |
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layers = map.Layers() |
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eq(len(layers), 3) |
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expected = (("political", 0, |
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[("default", (), "", |
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("#000000", 1, "#c0c0c0"))]), |
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("roads-line", 5, |
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[("default", (), "", |
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("#000000", 1, "None")), |
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("range", (0.001, 0.3996), "short roads", |
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("#ffffff", 1, "#ffffff")), |
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("range", (0.3996, 0.7982), "less short", |
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("#ccf4cc", 1, "#ccf4cc")), |
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("range", (0.7982, 1.1968), "bit longer", |
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("#99ea99", 1, "#99ea99")), |
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("range", (1.1968, 1.5954), "where's the end?", |
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("#66e066", 1, "#66e066")), |
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("range", (1.5954, 1.994), "long roads", |
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("#33d633", 1, "#33d633"))]), |
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("something else", 6, |
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[("default", (), "", |
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("#000000", 1, "None")), |
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("single", ("BUILDING"), "", |
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("#0000ff", 1, "#0000ff")), |
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("single", ("FARM"), "", |
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("#00aaff", 1, "#00aaff")), |
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("single", ("HUT"), "", |
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("#00ffaa", 1, "#00ffaa")), |
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("single", ("LIGHTHOUSE"), "", |
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("#00ff00", 1, "#00ff00")), |
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("single", ("OTHER/UNKNOWN"), "", |
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("#aaff00", 1, "#aaff00")), |
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("single", ("RUINS"), "", |
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("#ffaa00", 1, "#ffaa00"))])) |
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eq(len(layers), len(expected)) |
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TITLE = 0 |
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NUM_GROUPS = 1 |
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CLASSES = 2 |
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GROUP_TYPE = 0 |
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GROUP_DATA = 1 |
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GROUP_LABEL = 2 |
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GROUP_PROPS = 3 |
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for layer, data in zip(layers, expected): |
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eq(layer.Title(), data[TITLE]) |
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clazz = layer.GetClassification() |
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eq(clazz.GetNumGroups(), data[NUM_GROUPS]) |
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eq(clazz.GetNumGroups() + 1, len(data[CLASSES])) |
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i = 0 |
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for group in clazz: |
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props = ClassGroupProperties() |
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props.SetLineColor( |
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parse_color(data[CLASSES][i][GROUP_PROPS][0])) |
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props.SetLineWidth(data[CLASSES][i][GROUP_PROPS][1]) |
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props.SetFill( |
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parse_color(data[CLASSES][i][GROUP_PROPS][2])) |
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if data[CLASSES][i][GROUP_TYPE] == "default": |
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g = ClassGroupDefault(props, data[CLASSES][i][GROUP_LABEL]) |
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elif data[CLASSES][i][GROUP_TYPE] == "range": |
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g = ClassGroupRange(data[CLASSES][i][GROUP_DATA][0], |
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data[CLASSES][i][GROUP_DATA][1], |
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props, data[CLASSES][i][GROUP_LABEL]) |
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elif data[CLASSES][i][GROUP_TYPE] == "single": |
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g = ClassGroupSingleton(data[CLASSES][i][GROUP_DATA], |
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props, data[CLASSES][i][GROUP_LABEL]) |
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eq(group, g) |
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i += 1 |
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if __name__ == "__main__": |
if __name__ == "__main__": |
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unittest.main() |
unittest.main() |
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