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from dataclasses import dataclass, replace
from typing import Callable
import pytest
from databricks.bundles.core import Location, Resources, Severity
from databricks.bundles.core._bundle import Bundle
from databricks.bundles.core._resource import Resource
from databricks.bundles.core._resource_mutator import (
ResourceMutator,
job_mutator,
pipeline_mutator,
schema_mutator,
volume_mutator,
)
from databricks.bundles.core._resource_type import _ResourceType
from databricks.bundles.jobs._models.job import Job
from databricks.bundles.pipelines._models.pipeline import Pipeline
from databricks.bundles.schemas._models.schema import Schema
from databricks.bundles.volumes._models.volume import Volume
@dataclass(kw_only=True)
class TestCase:
add_resource: Callable
dict_example: dict
dataclass_example: Resource
mutator: Callable
resource_types = {tpe.resource_type: tpe for tpe in _ResourceType.all()}
test_cases = [
(
TestCase(
add_resource=Resources.add_job,
dict_example={"name": "My job"},
dataclass_example=Job(name="My job"),
mutator=job_mutator,
),
resource_types[Job],
),
(
TestCase(
add_resource=Resources.add_pipeline,
dict_example={"name": "My pipeline"},
dataclass_example=Pipeline(name="My pipeline"),
mutator=pipeline_mutator,
),
resource_types[Pipeline],
),
(
TestCase(
add_resource=Resources.add_volume,
dict_example={
"name": "My Volume",
"catalog_name": "my_catalog",
"schema_name": "my_schema",
},
dataclass_example=Volume(
catalog_name="my_catalog",
name="My Volume",
schema_name="my_schema",
),
mutator=volume_mutator,
),
resource_types[Volume],
),
(
TestCase(
add_resource=Resources.add_schema,
dict_example={"catalog_name": "my_catalog", "name": "my_schema"},
dataclass_example=Schema(catalog_name="my_catalog", name="my_schema"),
mutator=schema_mutator,
),
resource_types[Schema],
),
]
test_case_ids = [tpe.plural_name for _, tpe in test_cases]
def test_has_all_test_cases():
for tpe in _ResourceType.all():
found = False
for _, test_case_tpe in test_cases:
if test_case_tpe == tpe:
found = True
break
assert found, f"Missing test case for '{tpe.plural_name}'"
# Job-specific tests are left to self-test and give more readable examples
def test_add_job():
resources = Resources()
resources.add_job("my_job", Job(name="My job"))
assert resources.jobs == {"my_job": Job(name="My job")}
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_resource_type(tc: TestCase, tpe: _ResourceType):
resources = Resources()
tc.add_resource(
resources,
**{
"resource_name": "my_resource",
tpe.singular_name: tc.dict_example,
},
)
resource_dict = getattr(resources, tpe.plural_name)
assert resource_dict == {"my_resource": tc.dataclass_example}
def test_add_job_dict():
resources = Resources()
resources.add_job("my_job", {"name": "My job"})
assert resources.jobs == {"my_job": Job(name="My job")}
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_resource_type_dict(tc: TestCase, tpe: _ResourceType):
resources = Resources()
tc.add_resource(
resources,
**{
"resource_name": "my_resource",
tpe.singular_name: tc.dict_example,
},
)
resource_dict = getattr(resources, tpe.plural_name)
assert resource_dict == {"my_resource": tc.dataclass_example}
def test_add_job_location():
resources = Resources()
location = Location(file="my_file", line=1, column=2)
resources.add_job("my_job", Job(name="My job"), location=location)
assert resources._locations == {("resources", "jobs", "my_job"): location}
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_resource_type_location(tc: TestCase, tpe: _ResourceType):
resources = Resources()
location = Location(file="my_file", line=1, column=2)
tc.add_resource(
resources,
**{
"resource_name": "my_resource",
tpe.singular_name: tc.dict_example,
"location": location,
},
)
assert resources._locations == {
("resources", tpe.plural_name, "my_resource"): location
}
def test_add_job_location_automatic():
resources = Resources()
resources.add_job("my_job", Job(name="My job"))
assert resources._locations.keys() == {("resources", "jobs", "my_job")}
[location] = resources._locations.values()
assert location.file == __file__
assert location.line and location.line > 0
assert location.column and location.column > 0
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_resource_type_location_automatic(tc: TestCase, tpe: _ResourceType):
resources = Resources()
tc.add_resource(
resources,
**{
"resource_name": "my_resource",
tpe.singular_name: tc.dict_example,
},
)
assert resources._locations.keys() == {
("resources", tpe.plural_name, "my_resource")
}
[location] = resources._locations.values()
assert location.file == __file__
assert location.line and location.line > 0
assert location.column and location.column > 0
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_resource(tc: TestCase, tpe: _ResourceType):
resources = Resources()
resources.add_resource("my_resource", tc.dataclass_example)
resources_dict = getattr(resources, tpe.plural_name)
assert resources_dict == {"my_resource": tc.dataclass_example}
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_resources(tc: TestCase, tpe: _ResourceType):
resources_1 = Resources()
resources_2 = Resources()
resources_2.add_resource("my_resource", tc.dataclass_example)
resources_1.add_resources(resources_2)
resources_dict = getattr(resources_1, tpe.plural_name)
assert resources_dict == {"my_resource": tc.dataclass_example}
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_mutator(tc: TestCase, tpe: _ResourceType):
@tc.mutator
def my_func(bundle, resource):
return resource
bundle = Bundle(target="default")
assert isinstance(my_func, ResourceMutator)
assert tc.mutator.__name__ == tpe.singular_name + "_mutator"
assert my_func.resource_type == tpe.resource_type
assert my_func.function(bundle, tc.dataclass_example) is tc.dataclass_example
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_mutator_export(tc: TestCase, tpe: _ResourceType):
import databricks.bundles.core
assert tc.mutator.__name__ in databricks.bundles.core.__all__, (
"mutator is not in databricks.bundles.core.__all__"
)
@pytest.mark.parametrize("tc,tpe", test_cases, ids=test_case_ids)
def test_add_duplicate_resource(tc: TestCase, tpe: _ResourceType):
resources = Resources()
copy_1 = replace(tc.dataclass_example)
copy_2 = replace(tc.dataclass_example)
resources.add_resource("my_resource", copy_1)
resources.add_resource("my_resource", copy_2)
# it's important not to override resources, because, for instance, they can come from YAML
resources_dict = getattr(resources, tpe.plural_name)
assert resources_dict["my_resource"] is copy_1
assert resources_dict["my_resource"] is not copy_2
assert len(resources.diagnostics.items) == 1
[item] = resources.diagnostics.items
assert item.severity == Severity.ERROR
assert (
item.summary
== f"Duplicate resource name 'my_resource' for a {tpe.singular_name}. Resource names must be unique."
)
def test_add_diagnostics_error():
resources = Resources()
resources.add_diagnostic_error("Error message")
assert len(resources.diagnostics.items) == 1
[item] = resources.diagnostics.items
assert item.severity == Severity.ERROR
assert item.summary == "Error message"
def test_add_diagnostics_warning():
resources = Resources()
resources.add_diagnostic_warning("Error message")
assert len(resources.diagnostics.items) == 1
[item] = resources.diagnostics.items
assert item.severity == Severity.WARNING
assert item.summary == "Error message"