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test_executor_context_set_emits.py
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import pytest
import unittest
from exasol_udf_mock_python.column import Column
from exasol_udf_mock_python.group import Group
from exasol_udf_mock_python.mock_exa_environment import MockExaEnvironment
from exasol_udf_mock_python.mock_meta_data import MockMetaData
from exasol_udf_mock_python.udf_mock_executor import UDFMockExecutor
def test_next_and_emit():
def udf_wrapper():
def run(ctx):
while True:
ctx.emit(ctx.t)
if not ctx.next():
return
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (5,), (6,)])], exa)
assert result == [Group([(1,), (5,), (6,)])]
def test_emit_single_column_none():
def udf_wrapper():
def run(ctx):
ctx.emit(None)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (5,), (6,)])], exa)
assert result == [Group([(None,)])]
def test_emit_multi_column_none():
def udf_wrapper():
def run(ctx):
ctx.emit(None, None)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t1", int, "INTEGER"),
Column("t2", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (5,), (6,)])], exa)
assert result == [Group([(None, None)])]
def test_next_emit_reset():
def udf_wrapper():
def run(ctx):
while True:
ctx.emit(ctx.t)
if not ctx.next():
break
ctx.reset()
while True:
ctx.emit(ctx.t + 1)
if not ctx.next():
break
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (5,), (6,)])], exa)
assert result == [Group([(1,), (5,), (6,), (2,), (6,), (7,)])]
def test_next_reset_combined():
def udf_wrapper():
def run(ctx):
for i in range(2):
ctx.emit(ctx.t)
if not ctx.next():
break
ctx.next(reset=True)
for i in range(2):
ctx.emit(ctx.t + 1)
if not ctx.next():
break
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (5,), (6,)])], exa)
assert result == [Group([(1,), (5,), (2,), (6,)])]
def test_get_dataframe_all():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows='all')
ctx.emit(df)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (5,), (6,)])], exa)
assert result == [Group([(1,), (5,), (6,)])]
def test_get_dataframe_iter():
def udf_wrapper():
def run(ctx):
while True:
df = ctx.get_dataframe(num_rows=2)
if df is None:
return
else:
ctx.emit(df)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
assert result == [Group([(1,), (2,), (3,), (4,), (5,), (6,)])]
def test_get_dataframe_iter_next():
def udf_wrapper():
def run(ctx):
while True:
df = ctx.get_dataframe(num_rows=2)
if df is None:
return
else:
ctx.emit(df)
ctx.next()
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
assert result == [Group([(1,), (2,), (4,), (5,)])]
def test_get_dataframe_num_rows_1():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=1)
ctx.emit(df)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
assert result == [Group([(1,), ])]
def test_get_dataframe_num_rows_0():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=0)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(RuntimeError) as excinfo:
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_get_dataframe_num_rows_float():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=1.5)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(RuntimeError) as excinfo:
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_get_dataframe_num_rows_None():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=None)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(RuntimeError) as excinfo:
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_get_dataframe_num_rows_negative():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=-1)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(RuntimeError) as excinfo:
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_get_dataframe_start_col_None():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=10, start_col=None)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(RuntimeError) as excinfo:
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_get_dataframe_start_col_negative():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=10, start_col=-1)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(RuntimeError) as excinfo:
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_get_dataframe_start_col_0():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=1, start_col=0)
ctx.emit(df)
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
assert result == [Group([(1,), ])]
def test_get_dataframe_start_col_positive():
def udf_wrapper():
def run(ctx):
df = ctx.get_dataframe(num_rows=1, start_col=1)
ctx.emit(df)
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[
Column("t1", int, "INTEGER"),
Column("t2", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
executor = UDFMockExecutor()
exa = MockExaEnvironment(meta)
result = executor.run([Group([(1, -1), (2, -2), (3, -3), (4, -4)])], exa)
assert result == [Group([(-1,), ])]
def test_emit_tuple_exception():
def udf_wrapper():
def run(ctx):
while True:
ctx.emit((1,))
executor = UDFMockExecutor()
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=[Column("t", int, "INTEGER")],
output_type="EMITS",
output_columns=[Column("t", int, "INTEGER")]
)
exa = MockExaEnvironment(meta)
with pytest.raises(TypeError):
result = executor.run([Group([(1,), (2,), (3,), (4,), (5,), (6,)])], exa)
def test_access_variadic_inputs():
def udf_wrapper():
def run(ctx):
ctx.emit(ctx[0])
ctx.emit(ctx[1])
ctx.emit(ctx["2"])
input_columns = [Column("0", int, "INTEGER"),
Column("1", int, "INTEGER"),
Column("2", int, "INTEGER")]
output_columns = [Column("o1", int, "INTEGER")]
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=input_columns,
output_type="EMITS",
output_columns=output_columns,
is_variadic_input=True)
input_data = [(1, 2, 3), (4, 5, 6)]
exa = MockExaEnvironment(meta)
executor = UDFMockExecutor()
result = executor.run([Group(input_data)], exa)
for i, group in enumerate(result):
result_row = group.rows
assert len(result_row) == len(input_columns)
for j in range(len(result_row)):
assert len(result_row[j]) == len(output_columns)
assert input_data[i][j] == result_row[j][0]
def test_access_non_variadic_inputs():
def udf_wrapper():
def run(ctx):
ctx.emit(ctx[0])
ctx.emit(ctx[1])
ctx.emit(ctx["t3"])
ctx.emit(ctx["4"])
input_columns = [Column("t1", int, "INTEGER"),
Column("t2", int, "INTEGER"),
Column("t3", int, "INTEGER"),
Column("4", int, "INTEGER")]
output_columns = [Column("o1", int, "INTEGER")]
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=input_columns,
output_type="EMITS",
output_columns=output_columns,
is_variadic_input=False)
input_data = [(1, 2, 3, 4), (5, 6, 7, 8)]
exa = MockExaEnvironment(meta)
executor = UDFMockExecutor()
result = executor.run([Group(input_data)], exa)
for i, group in enumerate(result):
result_row = group.rows
assert len(result_row) == len(input_columns)
for j in range(len(result_row)):
assert len(result_row[j]) == len(output_columns)
assert input_data[i][j] == result_row[j][0]
class InvalidTestsForVariadicInputs(unittest.TestCase):
def test_access_variadic_inputs_by_name(self):
def udf_wrapper():
def run(ctx):
ctx.emit(ctx.t1)
input_columns = [Column("1", int, "INTEGER")]
output_columns = [Column("o1", int, "INTEGER")]
with self.assertRaises(AssertionError):
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=input_columns,
output_type="EMITS",
output_columns=output_columns,
is_variadic_input=True)
def test_invalid_variadic_input_columns_name(self):
def udf_wrapper():
def run(ctx):
ctx.emit(ctx[0])
invalid_input_columns_list = [
[Column("t1", int, "INTEGER")],
[Column("1", int, "INTEGER"), Column("3", int, "INTEGER")]
]
for input_columns in invalid_input_columns_list:
output_columns = [Column("o1", int, "INTEGER")]
with self.assertRaises(AssertionError):
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=input_columns,
output_type="EMITS",
output_columns=output_columns,
is_variadic_input=True)
input_data = [(1,)]
exa = MockExaEnvironment(meta)
executor = UDFMockExecutor()
result = executor.run([Group(input_data)], exa)
class InvalidTestsForNonVariadicInputs(unittest.TestCase):
def test_invalid_access_to_inputs(self):
def udf_wrapper():
def run(ctx):
ctx.emit(ctx["1"])
input_columns = [Column("t1", int, "INTEGER")]
output_columns = [Column("o1", int, "INTEGER")]
with self.assertRaises(RuntimeError):
meta = MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=input_columns,
output_type="EMITS",
output_columns=output_columns,
is_variadic_input=False)
input_data = [(1,)]
exa = MockExaEnvironment(meta)
executor = UDFMockExecutor()
result = executor.run([Group(input_data)], exa)
class InvalidTestsForUDFTypes(unittest.TestCase):
def test_invalid_input_types(self):
def udf_wrapper():
def run(ctx):
ctx.emit(ctx.t1)
input_columns = [Column("1", int, "INTEGER")]
output_columns = [Column("o1", int, "INTEGER")]
for input_type in ["SETS", "SCALARS", "INVALID"]:
with self.assertRaises(AssertionError):
MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type=input_type,
input_columns=input_columns,
output_type="EMITS",
output_columns=output_columns,
is_variadic_input=True)
def test_invalid_output_types(self):
def udf_wrapper():
def run(ctx):
ctx.emit(ctx.t1)
input_columns = [Column("1", int, "INTEGER")]
output_columns = [Column("o1", int, "INTEGER")]
for output_types in ["EMIT", "RETURN", "INVALID"]:
with self.assertRaises(AssertionError):
MockMetaData(
script_code_wrapper_function=udf_wrapper,
input_type="SET",
input_columns=input_columns,
output_type=output_types,
output_columns=output_columns,
is_variadic_input=True)