def test_step_row_search_with_name():
source = Resource("data/transform.csv")
target = transform(
source,
steps=[
steps.row_search(regex=r"^f.*", field_name="name"),
],
)
assert target.schema == {
"fields": [
{
"name": "id",
"type": "integer"
},
{
"name": "name",
"type": "string"
},
{
"name": "population",
"type": "integer"
},
]
}
assert target.read_rows() == [
{
"id": 2,
"name": "france",
"population": 66
},
]
def test_step_row_search_with_name():
source = Resource(path="data/transform.csv")
source.infer()
target = transform(
source,
steps=[
steps.row_search(regex=r"^f.*", field_name="name"),
],
)
assert target.schema == source.schema
assert target.read_rows() == [
{"id": 2, "name": "france", "population": 66},
]
def test_step_row_search_with_negate():
source = Resource(path="data/transform.csv")
source.infer()
target = transform(
source,
steps=[
steps.row_search(regex=r"^f.*", negate=True),
],
)
assert target.schema == source.schema
assert target.read_rows() == [
{"id": 1, "name": "germany", "population": 83},
{"id": 3, "name": "spain", "population": 47},
]
def test_step_row_search_with_negate():
source = Resource("data/transform.csv")
target = transform(
source,
steps=[
steps.row_search(regex=r"^f.*", negate=True),
],
)
assert target.schema == {
"fields": [
{
"name": "id",
"type": "integer"
},
{
"name": "name",
"type": "string"
},
{
"name": "population",
"type": "integer"
},
]
}
assert target.read_rows() == [
{
"id": 1,
"name": "germany",
"population": 83
},
{
"id": 3,
"name": "spain",
"population": 47
},
]
