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66a545fc6d
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: GareArc <garethcxy@dify.ai>
131 lines
4.3 KiB
Python
131 lines
4.3 KiB
Python
from inspect import unwrap
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from pytest_mock import MockerFixture
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from enums.deployment_edition import DeploymentEdition
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from services.feature_service import (
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FeatureModel,
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LicenseLimitationModel,
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LicenseModel,
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LicenseStatus,
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LimitationModel,
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SystemFeatureModel,
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)
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class TestFeatureApi:
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def test_get_tenant_features_success(self, mocker: MockerFixture):
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from controllers.console.feature import FeatureApi
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features = FeatureModel(
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knowledge_rate_limit=42,
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vector_space=LimitationModel(size=1, limit=2),
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)
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get_features = mocker.patch("controllers.console.feature.FeatureService.get_features")
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get_features.return_value = features
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api = FeatureApi()
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raw_get = unwrap(FeatureApi.get)
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result = raw_get(api, "tenant_123")
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expected = features.model_dump()
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expected.pop("vector_space")
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assert result == expected
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get_features.assert_called_once_with("tenant_123", exclude_vector_space=True)
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class TestFeatureVectorSpaceApi:
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def test_get_vector_space_success(self, mocker: MockerFixture):
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from controllers.console.feature import FeatureVectorSpaceApi
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get_vector_space = mocker.patch("controllers.console.feature.FeatureService.get_vector_space")
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get_vector_space.return_value = LimitationModel(size=5120, limit=20480)
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api = FeatureVectorSpaceApi()
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raw_get = unwrap(FeatureVectorSpaceApi.get)
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result = raw_get(api, "tenant_123")
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assert result == {"size": 5120, "limit": 20480}
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get_vector_space.assert_called_once_with("tenant_123")
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class TestTrialModelsApi:
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def test_get_trial_models_success(self, mocker: MockerFixture):
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from controllers.console.feature import TrialModelsApi
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get_trial_models = mocker.patch("controllers.console.feature.FeatureService.get_trial_models")
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get_trial_models.return_value = ["langgenius/openai/openai"]
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api = TrialModelsApi()
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raw_get = unwrap(TrialModelsApi.get)
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result = raw_get(api)
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assert result == {"trial_models": ["langgenius/openai/openai"]}
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get_trial_models.assert_called_once_with()
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class TestAppDslVersionApi:
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def test_get_app_dsl_version_success(self, mocker: MockerFixture):
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from controllers.console.feature import AppDslVersionApi
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get_app_dsl_version = mocker.patch("controllers.console.feature.FeatureService.get_app_dsl_version")
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get_app_dsl_version.return_value = "0.6.0"
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api = AppDslVersionApi()
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result = api.get()
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assert result == {"app_dsl_version": "0.6.0"}
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get_app_dsl_version.assert_called_once_with()
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class TestSystemFeatureApi:
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def test_get_system_features_public(self, mocker: MockerFixture):
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"""The public endpoint returns system features without any authentication input."""
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from controllers.console.feature import SystemFeatureApi
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system_features = SystemFeatureModel(
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deployment_edition=DeploymentEdition.COMMUNITY,
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is_allow_register=True,
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enable_learn_app=True,
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)
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get_system_features = mocker.patch(
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"controllers.console.feature.FeatureService.get_system_features",
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return_value=system_features,
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)
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api = SystemFeatureApi()
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result = api.get()
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assert result == system_features.model_dump()
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assert result["enable_learn_app"] is True
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assert result["license"] == {"status": LicenseStatus.NONE}
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get_system_features.assert_called_once_with()
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class TestSystemFeatureLicenseApi:
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def test_get_license_success(self, mocker: MockerFixture):
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from controllers.console.feature import SystemFeatureLicenseApi
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license_model = LicenseModel(
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status=LicenseStatus.ACTIVE,
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expired_at="2025-12-31",
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seats=LicenseLimitationModel(enabled=True, limit=5, size=2),
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)
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get_license = mocker.patch(
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"controllers.console.feature.FeatureService.get_license",
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return_value=license_model,
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)
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api = SystemFeatureLicenseApi()
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raw_get = unwrap(SystemFeatureLicenseApi.get)
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result = raw_get(api)
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assert result == license_model.model_dump()
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assert result["seats"] == {"enabled": True, "limit": 5, "size": 2}
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get_license.assert_called_once_with()
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