def test_client_add_dataset():
client.requests = test_add # OMG more monkey patching
ec = Client('localhost:6363')
ec.add('iris', example('iris.csv'))
assert 'iris' in ec.dshape.measure.dict
iris_data = bz_data(example('iris.csv'))
assert ec.dshape.measure.dict['iris'] == iris_data.dshape
def test_client_add_dataset():
client.requests = test_add # OMG more monkey patching
ec = Client('localhost:6363')
ec.add('iris', example('iris.csv'))
assert 'iris' in ec.dshape.measure.dict
iris_data = bz_data(example('iris.csv'))
assert ec.dshape.measure.dict['iris'] == iris_data.dshape
def test_client_add_dataset_with_args():
client.requests = test_add # OMG more monkey patching
ec = Client('localhost:6363')
ec.add('teams', 'sqlite:///' + example('teams.db'), 'teams',
primary_key='teamID')
assert 'teams' in ec.dshape.measure.dict
teams_data = bz_data('sqlite:///' + example('teams.db') + '::teams')
assert ec.dshape.measure.dict['teams'] == teams_data.dshape
def test_client_add_dataset_with_args():
client.requests = test_add # OMG more monkey patching
ec = Client('localhost:6363')
ec.add('teams',
'sqlite:///' + example('teams.db'),
'teams',
primary_key='teamID')
assert 'teams' in ec.dshape.measure.dict
teams_data = bz_data('sqlite:///' + example('teams.db') + '::teams')
assert ec.dshape.measure.dict['teams'] == teams_data.dshape
def test_expr_client_interactive():
ec = Client('localhost:6363', 'accounts')
t = Table(ec)
assert compute(t.name) == ['Alice', 'Bob']
assert (into(set, compute(by(t.name, min=t.amount.min(),
max=t.amount.max()))) ==
set([('Alice', 100, 100), ('Bob', 200, 200)]))
def to_blaze(self):
from blaze.server.client import Client
from blaze.server import from_tree
from blaze import Data
# hacky - blaze urls have `compute.json` in it, but we need to strip it off
# to feed it into the blaze client lib
c = Client(self.data_url.rsplit('compute.json', 1)[0])
d = Data(c)
return from_tree(self.expr, {':leaf': d})
def test_expr_client():
ec = Client('localhost:6363', 'accounts')
assert discover(ec) == discover(df)
t = TableSymbol('t', discover(ec))
expr = t.amount.sum()
assert compute(expr, ec) == 300
assert 'name' in t.fields
assert isinstance(t.name, Field)
assert compute(t.name, ec) == ['Alice', 'Bob']
def test_client():
c = Client('localhost:6363')
assert str(discover(c)) == str(discover(data))
t = symbol('t', discover(c))
expr = t.accounts.amount.sum()
assert compute(expr, c) == 300
assert 'name' in t.accounts.fields
assert isinstance(t.accounts.name, Field)
assert compute(t.accounts.name, c) == ['Alice', 'Bob']
import numpy as np
from bokeh.plotting import figure, show, output_server
from bokeh.transforms import image_downsample
from blaze.server.client import Client
from blaze import Data
N = 1000
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx) * np.cos(yy)
output_server("remote_image")
c = Client('http://localhost:5006')
d = Data(c)
source = image_downsample.source()
source.from_blaze(d.array, local=True)
plot = figure(
x_range=[0, 10],
y_range=[0, 10],
)
plot.image(source=source,
image="image",
x="x",
y="y",
dw="dw",
dh="dh",
palette="Spectral11",
def test_custom_expressions():
ec = Client('localhost:6363', 'accounts')
t = TableSymbol('t', discover(ec))
assert list(map(tuple, compute(CustomExpr(t), ec))) == into(list, df)
def test_client_add_dataset_failure():
client.requests = test_add # OMG more monkey patching
ec = Client('localhost:6363')
with pytest.raises(ValueError) as exc:
ec.add('iris2', example('iris.csv'), -1, bad_arg='value')
assert '422 UNPROCESSABLE ENTITY' in str(exc.value)
def test_client_cant_add_dataset():
ec = Client('localhost:6363')
with pytest.raises(ValueError) as excinfo:
ec.add('iris', example('iris.csv'))
assert "Server does not support" in str(excinfo.value)
def test_client_add_dataset_failure():
client.requests = test_add # OMG more monkey patching
ec = Client('localhost:6363')
with pytest.raises(ValueError) as exc:
ec.add('iris2', example('iris.csv'), -1, bad_arg='value')
assert '422 UNPROCESSABLE ENTITY' in str(exc.value)
def test_client_cant_add_dataset():
ec = Client('localhost:6363')
with pytest.raises(ValueError) as excinfo:
ec.add('iris', example('iris.csv'))
assert "Server does not support" in str(excinfo.value)
