def test_it_throws_for_unconvertable_matches(self):
with pytest.raises(ValueError):
cast_to_type(
"mystr",
"test_col",
{
"StorageDescriptor": {
"Columns": [{
"Name": "test_col",
"Type": "int"
}]
}
},
)
def test_it_throws_for_unknown_col(self):
with pytest.raises(ValueError):
cast_to_type(
"mystr",
"doesnt_exist",
{
"StorageDescriptor": {
"Columns": [{
"Name": "test_col",
"Type": "string"
}]
}
},
)
def test_it_throws_for_unsupported_col_types(self):
with pytest.raises(ValueError) as e:
cast_to_type(
"2.56",
"test_col",
{
"StorageDescriptor": {
"Columns": [{
"Name": "test_col",
"Type": "decimal"
}]
}
},
)
assert (e.value.args[0] ==
"Column test_col is not a supported column type for querying")
def test_it_converts_supported_types_when_nested_in_struct(self):
column_type = "struct<type:int,x:map<string,struct<a:int>>,info:struct<user_id:int,name:string>>"
table = {
"StorageDescriptor": {
"Columns": [{
"Name": "user",
"Type": column_type
}]
}
}
for scenario in [
{
"value": "john_doe",
"id": "user.info.name",
"expected": "john_doe"
},
{
"value": "1234567890",
"id": "user.info.user_id",
"expected": 1234567890
},
{
"value": "1",
"id": "user.type",
"expected": 1
},
]:
res = cast_to_type(scenario["value"], scenario["id"], table)
assert res == scenario["expected"]
def test_it_throws_for_unsupported_complex_nested_types(self):
for scenario in [
"array<x:int>",
"array<struct<x:int>>",
"struct<a:array<struct<a:int,x:int>>>",
"array<struct<a:int,b:struct<x:int>>>",
"struct<a:map<string,struct<x:int>>>",
"map<string,struct<x:int>>",
]:
with pytest.raises(ValueError):
cast_to_type(
123,
"user.x",
{
"StorageDescriptor": {
"Columns": [{
"Name": "user",
"Type": scenario
}]
}
},
)
def test_it_converts_supported_types(self):
for scenario in [
{
"value": "m",
"type": "char",
"expected": "m"
},
{
"value": "mystr",
"type": "string",
"expected": "mystr"
},
{
"value": "mystr",
"type": "varchar",
"expected": "mystr"
},
{
"value": "2",
"type": "bigint",
"expected": 2
},
{
"value": "2",
"type": "int",
"expected": 2
},
{
"value": "2",
"type": "smallint",
"expected": 2
},
{
"value": "2",
"type": "tinyint",
"expected": 2
},
{
"value": "2.23",
"type": "double",
"expected": 2.23
},
{
"value": "2.23",
"type": "float",
"expected": 2.23
},
]:
res = cast_to_type(
scenario["value"],
"test_col",
{
"StorageDescriptor": {
"Columns": [{
"Name": "test_col",
"Type": scenario["type"]
}]
}
},
)
assert res == scenario["expected"]
