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109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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from __future__ import annotations
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from pathlib import Path
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from unittest.mock import MagicMock
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import pytest
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from data_designer.config.models import (
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ChatCompletionInferenceParams,
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EmbeddingInferenceParams,
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ImageInferenceParams,
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ModelConfig,
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)
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from data_designer.engine.model_provider import ModelProvider, ModelProviderRegistry
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from data_designer.engine.models.clients.base import ModelClient
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from data_designer.engine.models.factory import create_model_registry
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from data_designer.engine.models.registry import ModelRegistry
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from data_designer.engine.secret_resolver import SecretsFileResolver
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from data_designer.engine.testing import StubMCPFacade, StubMCPRegistry
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@pytest.fixture
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def stub_secrets_resolver() -> SecretsFileResolver:
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module_path = Path(__file__).parent
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return SecretsFileResolver(module_path / "stub_secrets.json")
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@pytest.fixture
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def stub_model_provider_registry() -> ModelProviderRegistry:
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return ModelProviderRegistry(
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providers=[
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ModelProvider(
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name="stub-model-provider",
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endpoint="https://api.example.com/v1",
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provider_type="openai",
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api_key="STUB_API_KEY",
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)
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]
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)
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@pytest.fixture
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def stub_model_configs() -> list[ModelConfig]:
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return [
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ModelConfig(
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alias="stub-text",
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model="stub-model-text",
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provider="stub-model-provider",
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inference_parameters=ChatCompletionInferenceParams(
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temperature=0.80, top_p=0.95, max_tokens=100, max_parallel_requests=10, timeout=100
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),
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),
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ModelConfig(
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alias="stub-reasoning",
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model="stub-model-reasoning",
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provider="stub-model-provider",
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inference_parameters=ChatCompletionInferenceParams(
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temperature=0.80, top_p=0.95, max_tokens=100, max_parallel_requests=10, timeout=100
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),
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),
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ModelConfig(
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alias="stub-embedding",
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model="stub-model-embedding",
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provider="stub-model-provider",
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inference_parameters=EmbeddingInferenceParams(
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dimensions=100,
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),
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),
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ModelConfig(
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alias="stub-image",
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model="stub-model-image",
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provider="stub-model-provider",
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inference_parameters=ImageInferenceParams(),
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),
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]
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@pytest.fixture
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def stub_model_registry(
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stub_model_configs: list[ModelConfig],
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stub_secrets_resolver: SecretsFileResolver,
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stub_model_provider_registry: ModelProviderRegistry,
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) -> ModelRegistry:
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return create_model_registry(
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model_configs=stub_model_configs,
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secret_resolver=stub_secrets_resolver,
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model_provider_registry=stub_model_provider_registry,
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)
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@pytest.fixture
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def stub_model_client() -> MagicMock:
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"""Mock ModelClient for testing ModelFacade without a real HTTP adapter."""
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return MagicMock(spec=ModelClient)
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@pytest.fixture
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def stub_mcp_facade_for_model() -> StubMCPFacade:
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"""Default stub MCP facade with max_tool_call_turns=3."""
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return StubMCPFacade()
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@pytest.fixture
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def stub_mcp_registry_for_model(stub_mcp_facade_for_model: StubMCPFacade) -> StubMCPRegistry:
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"""Default stub MCP registry."""
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return StubMCPRegistry(stub_mcp_facade_for_model)
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