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"""Test our public REST API."""
from typing import Iterable, Optional, Type
import pytest
from fastapi.testclient import TestClient
from pytest_mock import MockerFixture
from .config import CONFIG
from .data.dataset import (
Column,
Dataset,
DatasetManifest,
SelectRowsSchemaResult,
SelectRowsSchemaUDF,
)
from .data.dataset_duckdb import DatasetDuckDB
from .data.dataset_test_utils import TEST_DATASET_NAME, TEST_NAMESPACE, enriched_item, make_dataset
from .router_dataset import (
SelectRowsOptions,
SelectRowsResponse,
SelectRowsSchemaOptions,
WebManifest,
)
from .schema import UUID_COLUMN, Field, Item, RichData, field, schema
from .server import app
from .signals.signal import TextSignal, clear_signal_registry, register_signal
client = TestClient(app)
DATASET_CLASSES = [DatasetDuckDB]
TEST_DATA: list[Item] = [{
UUID_COLUMN: '1',
'erased': False,
'people': [{
'name': 'A',
'zipcode': 0,
'locations': [{
'city': 'city1',
'state': 'state1'
}, {
'city': 'city2',
'state': 'state2'
}]
}]
}, {
UUID_COLUMN: '2',
'erased': True,
'people': [{
'name': 'B',
'zipcode': 1,
'locations': [{
'city': 'city3',
'state': 'state3'
}, {
'city': 'city4'
}, {
'city': 'city5'
}]
}, {
'name': 'C',
'zipcode': 2,
'locations': [{
'city': 'city1',
'state': 'state1'
}]
}]
}, {
UUID_COLUMN: '3',
'erased': True,
}]
@pytest.fixture(scope='module', autouse=True)
def setup_teardown() -> Iterable[None]:
# Setup.
register_signal(LengthSignal)
# Unit test runs.
yield
# Teardown.
clear_signal_registry()
@pytest.fixture(scope='module', autouse=True, params=DATASET_CLASSES)
def test_data(tmp_path_factory: pytest.TempPathFactory, module_mocker: MockerFixture,
request: pytest.FixtureRequest) -> None:
tmp_path = tmp_path_factory.mktemp('data')
module_mocker.patch.dict(CONFIG, {'LILAC_DATA_PATH': str(tmp_path)})
dataset_cls: Type[Dataset] = request.param
make_dataset(dataset_cls, tmp_path, TEST_DATA)
def test_get_manifest() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}'
response = client.get(url)
assert response.status_code == 200
assert WebManifest.parse_obj(response.json()) == WebManifest(
dataset_manifest=DatasetManifest(
namespace=TEST_NAMESPACE,
dataset_name=TEST_DATASET_NAME,
data_schema=schema({
UUID_COLUMN: 'string',
'erased': 'boolean',
'people': [{
'name': 'string',
'zipcode': 'int32',
'locations': [{
'city': 'string',
'state': 'string'
}]
}]
}),
num_items=3))
def test_select_rows_no_options() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}/select_rows'
options = SelectRowsOptions()
response = client.post(url, json=options.dict())
assert response.status_code == 200
assert SelectRowsResponse.parse_obj(response.json()) == SelectRowsResponse(
rows=TEST_DATA, total_num_rows=3)
def test_select_rows_with_cols_and_limit() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}/select_rows'
options = SelectRowsOptions(
columns=[('people', '*', 'zipcode'), ('people', '*', 'locations', '*', 'city')],
limit=1,
offset=1)
response = client.post(url, json=options.dict())
assert response.status_code == 200
assert SelectRowsResponse.parse_obj(response.json()) == SelectRowsResponse(
rows=[{
UUID_COLUMN: '2',
'people.*.zipcode': [1, 2],
'people.*.locations.*.city': [['city3', 'city4', 'city5'], ['city1']]
}],
total_num_rows=3)
def test_select_rows_with_cols_and_combine() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}/select_rows'
options = SelectRowsOptions(
columns=[('people', '*', 'zipcode'), ('people', '*', 'locations', '*', 'city')],
combine_columns=True)
response = client.post(url, json=options.dict())
assert response.status_code == 200
assert SelectRowsResponse.parse_obj(response.json()) == SelectRowsResponse(
rows=[{
UUID_COLUMN: '1',
'people': [{
'zipcode': 0,
'locations': [{
'city': 'city1',
}, {
'city': 'city2',
}]
}]
}, {
UUID_COLUMN: '2',
'people': [{
'zipcode': 1,
'locations': [{
'city': 'city3',
}, {
'city': 'city4'
}, {
'city': 'city5'
}]
}, {
'zipcode': 2,
'locations': [{
'city': 'city1'
}]
}]
}, {
UUID_COLUMN: '3',
'people': None
}],
total_num_rows=3)
class LengthSignal(TextSignal):
name = 'length_signal'
def fields(self) -> Field:
return field('int32')
def compute(self, data: Iterable[RichData]) -> Iterable[Optional[Item]]:
for text_content in data:
yield len(text_content) if text_content is not None else None
def test_select_rows_star_plus_udf() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}/select_rows'
udf = Column('people.*.name', alias='len', signal_udf=LengthSignal())
options = SelectRowsOptions(columns=['*', udf], combine_columns=True)
response = client.post(url, json=options.dict())
assert response.status_code == 200
assert SelectRowsResponse.parse_obj(response.json()) == SelectRowsResponse(
rows=[{
UUID_COLUMN: '1',
'erased': False,
'people': [{
'name': enriched_item('A', {'length_signal': 1}),
'zipcode': 0,
'locations': [{
'city': 'city1',
'state': 'state1'
}, {
'city': 'city2',
'state': 'state2'
}]
}]
}, {
UUID_COLUMN: '2',
'erased': True,
'people': [{
'name': enriched_item('B', {'length_signal': 1}),
'zipcode': 1,
'locations': [{
'city': 'city3',
'state': 'state3'
}, {
'city': 'city4'
}, {
'city': 'city5'
}]
}, {
'name': enriched_item('C', {'length_signal': 1}),
'zipcode': 2,
'locations': [{
'city': 'city1',
'state': 'state1'
}]
}]
}, {
UUID_COLUMN: '3',
'erased': True,
}],
total_num_rows=3)
def test_select_rows_schema_star_plus_udf() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}/select_rows_schema'
signal = LengthSignal()
udf = Column('people.*.name', alias='len', signal_udf=signal)
options = SelectRowsSchemaOptions(columns=['*', udf], combine_columns=True)
response = client.post(url, json=options.dict())
assert response.status_code == 200
assert SelectRowsSchemaResult.parse_obj(response.json()) == SelectRowsSchemaResult(
data_schema=schema({
UUID_COLUMN: 'string',
'erased': 'boolean',
'people': [{
'name': field(
'string', fields={'length_signal': field('int32', signal.dict(exclude_none=True))}),
'zipcode': 'int32',
'locations': [{
'city': 'string',
'state': 'string'
}]
}]
}),
udfs=[SelectRowsSchemaUDF(path=('people', '*', 'name', 'length_signal'), alias='len')])
def test_select_rows_schema_no_cols() -> None:
url = f'/api/v1/datasets/{TEST_NAMESPACE}/{TEST_DATASET_NAME}/select_rows_schema'
options = SelectRowsSchemaOptions(combine_columns=True)
response = client.post(url, json=options.dict())
assert response.status_code == 200
assert SelectRowsSchemaResult.parse_obj(response.json()) == SelectRowsSchemaResult(
data_schema=schema({
UUID_COLUMN: 'string',
'erased': 'boolean',
'people': [{
'name': 'string',
'zipcode': 'int32',
'locations': [{
'city': 'string',
'state': 'string'
}]
}]
}))
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