112 lines
3.4 KiB
Python
112 lines
3.4 KiB
Python
import logging
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import os
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import tempfile
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from pathlib import Path
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from typing import TYPE_CHECKING, Any
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# Prevent tests from loading user's local haiku.rag.yaml by setting env var
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# to an empty config file BEFORE any haiku.rag imports.
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# This ensures tests always use default config values.
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_test_config_dir = tempfile.mkdtemp()
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_test_config_path = Path(_test_config_dir) / "test-defaults.yaml"
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_test_config_path.write_text("{}") # Empty YAML = use all defaults
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os.environ["HAIKU_RAG_CONFIG_PATH"] = str(_test_config_path)
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import pydantic_ai.models # noqa: E402
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import pytest # noqa: E402
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import yaml # noqa: E402
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from datasets import Dataset, load_dataset, load_from_disk # noqa: E402
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if TYPE_CHECKING:
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from vcr import VCR
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pydantic_ai.models.ALLOW_MODEL_REQUESTS = False
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logging.getLogger("vcr.cassette").setLevel(logging.WARNING)
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@pytest.fixture(scope="session")
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def qa_corpus() -> Dataset:
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ds_path = Path(__file__).parent / "data" / "dataset"
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ds_path.mkdir(parents=True, exist_ok=True)
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try:
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ds: Dataset = load_from_disk(ds_path) # type: ignore
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return ds
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except FileNotFoundError:
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ds: Dataset = load_dataset("ServiceNow/repliqa")["repliqa_3"] # type: ignore
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corpus = ds.filter(lambda doc: doc["document_topic"] == "News Stories")
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corpus.save_to_disk(ds_path)
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return corpus
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@pytest.fixture
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def temp_db_path():
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"""Create a temporary database path for testing.
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Note: Tests that need a database should use HaikuRAG with create=True.
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"""
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with tempfile.TemporaryDirectory() as temp_dir:
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yield Path(temp_dir) / "test.lancedb"
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@pytest.fixture
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def temp_yaml_config(tmp_path, monkeypatch):
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"""Create a temporary YAML config file for testing.
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This fixture creates a config file in a temp directory and sets
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the environment variable so config.py will load it.
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"""
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config_file = tmp_path / "test-config.yaml"
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config_data = {
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"environment": "production",
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"storage": {
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"data_dir": "",
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"monitor_directories": [],
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"vacuum_retention_seconds": 60,
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},
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"embeddings": {
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"model": {
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"provider": "ollama",
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"name": "qwen3-embedding:4b",
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"vector_dim": 2560,
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}
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},
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"qa": {"model": {"provider": "ollama", "name": "gpt-oss"}},
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}
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with open(config_file, "w") as f:
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yaml.dump(config_data, f)
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# Set env var so config loader will find it
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monkeypatch.setenv("HAIKU_RAG_CONFIG_PATH", str(config_file))
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yield config_file
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@pytest.fixture
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def allow_model_requests():
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with pydantic_ai.models.override_allow_model_requests(True):
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yield
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@pytest.fixture(autouse=True)
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def set_mock_api_keys(monkeypatch):
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"""Set mock API keys for providers that require them during initialization."""
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if not os.getenv("OPENAI_API_KEY"):
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monkeypatch.setenv("OPENAI_API_KEY", "sk-mock-key-for-vcr-playback")
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if not os.getenv("ANTHROPIC_API_KEY"):
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monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-mock-key-for-vcr-playback")
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def pytest_recording_configure(config: Any, vcr: "VCR"):
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from . import json_body_serializer
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vcr.register_serializer("yaml", json_body_serializer)
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@pytest.fixture(scope="module")
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def vcr_config():
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return {
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"ignore_localhost": False,
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"filter_headers": ["authorization", "x-api-key"],
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"decode_compressed_response": True,
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}
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