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* ci: Simplify Python code with ruff rules SIM * Revert #5828 * ruff --select=I --fix haystack/modeling/infer.py --------- Co-authored-by: Massimiliano Pippi <mpippi@gmail.com>
627 lines
28 KiB
Python
627 lines
28 KiB
Python
# mypy: disable_error_code = "empty-body, override, union-attr"
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from typing import Dict, List, Optional, Union, Generator
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import os
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from pathlib import Path
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from textwrap import dedent
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from unittest import mock
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from unittest.mock import MagicMock, Mock
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import numpy as np
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import pandas as pd
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import pytest
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from fastapi.testclient import TestClient
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import posthog
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from haystack import Document, Answer, Pipeline, TableCell
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import haystack
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from haystack.nodes import BaseReader, BaseRetriever
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from haystack.document_stores import BaseDocumentStore
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from haystack.errors import PipelineSchemaError
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from haystack.schema import Label, FilterType
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from haystack.nodes.file_converter import BaseConverter
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from rest_api.pipeline import _load_pipeline
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from rest_api.utils import get_app
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# Disable telemetry reports when running tests
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posthog.disabled = True
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TEST_QUERY = "Who made the PDF specification?"
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def test_doc_store_error_for_indexing_pipelines(caplog):
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.in-memory-haystack-pipeline.yml"
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p, _ = _load_pipeline(yaml_pipeline_path, "indexing")
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assert isinstance(p, Pipeline)
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assert "will not work as expected" in caplog.text
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def test_single_worker_doc_store_success_for_query_pipelines():
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.in-memory-haystack-pipeline.yml"
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p, _ = _load_pipeline(yaml_pipeline_path, "query")
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assert isinstance(p, Pipeline)
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def test_check_error_for_pipeline_not_found():
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.in-memory-haystack-pipeline.yml"
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p, _ = _load_pipeline(yaml_pipeline_path, "ThisPipelineDoesntExist")
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assert p is None
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def test_overwrite_params_with_env_variables_when_no_params_in_pipeline_yaml(monkeypatch):
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.docstore-no-params-pipeline.yml"
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monkeypatch.setenv("INMEMORYDOCUMENTSTORE_PARAMS_INDEX", "custom_index")
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_, document_store = _load_pipeline(yaml_pipeline_path, None)
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assert document_store.index == "custom_index"
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def test_bad_yaml_pipeline_configuration_error():
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.bogus_pipeline.yml"
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with pytest.raises(PipelineSchemaError) as excinfo:
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_load_pipeline(yaml_pipeline_path, None)
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assert "MyOwnDocumentStore" in str(excinfo.value)
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class MockReader(BaseReader):
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outgoing_edges = 1
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def predict(self, query: str, documents: List[Document], top_k: Optional[int] = None):
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return {"query": query, "no_ans_gap": None, "answers": [Answer(answer="Adobe Systems")]}
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def predict_batch(
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self,
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queries: List[str],
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documents: Union[List[Document], List[List[Document]]],
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top_k: Optional[int] = None,
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batch_size: Optional[int] = None,
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):
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pass
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class MockRetriever(BaseRetriever):
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outgoing_edges = 1
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def __init__(self, document_store: BaseDocumentStore):
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super().__init__()
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self.document_store = document_store
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def retrieve(
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self,
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query: str,
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filters: Optional[FilterType] = None,
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top_k: Optional[int] = None,
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index: Optional[str] = None,
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headers: Optional[Dict[str, str]] = None,
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scale_score=True,
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) -> List[Document]:
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if filters and not isinstance(filters, dict):
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raise ValueError("You can't do this!")
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return self.document_store.get_all_documents(filters=filters)
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def retrieve_batch(
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self,
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queries: List[str],
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filters: Optional[Union[FilterType, List[Optional[FilterType]]]] = None,
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top_k: Optional[int] = None,
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index: Optional[str] = None,
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headers: Optional[Dict[str, str]] = None,
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batch_size: Optional[int] = None,
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scale_score=True,
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):
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pass
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class MockPDFToTextConverter(BaseConverter):
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mocker = MagicMock()
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def convert(self, *args, **kwargs):
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self.mocker.convert(*args, **kwargs)
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return []
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class MockDocumentStore(BaseDocumentStore):
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mocker = MagicMock()
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def write_documents(self, *args, **kwargs):
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pass
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def get_all_documents(self, *args, **kwargs) -> List[Document]:
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self.mocker.get_all_documents(*args, **kwargs)
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return [
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Document(
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content=dedent(
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"""\
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History and standardization
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Format (PDF) Adobe Systems made the PDF specification available free of
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charge in 1993. In the early years PDF was popular mainly in desktop
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publishing workflows, and competed with a variety of formats such as DjVu,
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Envoy, Common Ground Digital Paper, Farallon Replica and even Adobe's
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own PostScript format. PDF was a proprietary format controlled by Adobe
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until it was released as an open standard on July 1, 2008, and published by
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the International Organization for Standardization as ISO 32000-1:2008, at
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which time control of the specification passed to an ISO Committee of
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volunteer industry experts."""
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),
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meta={"name": "test.txt", "test_key": "test_value", "test_index": "1"},
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),
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Document(
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content=dedent(
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"""\
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In 2008, Adobe published a Public Patent License
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to ISO 32000-1 granting royalty-free rights for all patents owned by Adobe
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that are necessary to make, use, sell, and distribute PDF-compliant
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implementations. PDF 1.7, the sixth edition of the PDF specification that
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became ISO 32000-1, includes some proprietary technologies defined only by
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Adobe, such as Adobe XML Forms Architecture (XFA) and JavaScript
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extension for Acrobat, which are referenced by ISO 32000-1 as normative
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and indispensable for the full implementation of the ISO 32000-1
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specification. These proprietary technologies are not standardized and their
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specification is published only on Adobe's website. Many of them are also not
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supported by popular third-party implementations of PDF."""
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),
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meta={"name": "test.txt", "test_key": "test_value", "test_index": "2"},
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),
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]
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def get_all_documents_generator(self, *args, **kwargs) -> Generator[Document, None, None]:
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pass
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def get_all_labels(self, *args, **kwargs) -> List[Label]:
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return self.mocker.get_all_labels(*args, **kwargs)
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def get_document_by_id(self, *args, **kwargs) -> Optional[Document]:
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pass
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def get_document_count(self, *args, **kwargs) -> int:
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pass
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def query_by_embedding(self, *args, **kwargs) -> List[Document]:
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pass
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def get_label_count(self, *args, **kwargs) -> int:
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pass
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def write_labels(self, *args, **kwargs):
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self.mocker.write_labels(*args, **kwargs)
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def delete_documents(self, *args, **kwargs):
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self.mocker.delete_documents(*args, **kwargs)
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def delete_labels(self, *args, **kwargs):
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self.mocker.delete_labels(*args, **kwargs)
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def delete_index(self, index: str):
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pass
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def _create_document_field_map(self) -> Dict:
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pass
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def get_documents_by_id(self, *args, **kwargs) -> List[Document]:
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pass
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def update_document_meta(self, *args, **kwargs):
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pass
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@pytest.fixture(scope="function")
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def feedback():
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"""
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Some test functions change the content of the `feedback` dictionary, let's keep
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the default "function" scope so we don't need to deepcopy the dict each time
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"""
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return {
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"id": "123",
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"query": "Who made the PDF specification?",
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"document": {
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"content": "A sample PDF file\n\nHistory and standardization\nFormat (PDF) Adobe Systems made the PDF specification available free of charge in 1993. In the early years PDF was popular mainly in desktop publishing workflows, and competed with a variety of formats such as DjVu, Envoy, Common Ground Digital Paper, Farallon Replica and even Adobe's own PostScript format. PDF was a proprietary format controlled by Adobe until it was released as an open standard on July 1, 2008, and published by the International Organization for Standardization as ISO 32000-1:2008, at which time control of the specification passed to an ISO Committee of volunteer industry experts. In 2008, Adobe published a Public Patent License to ISO 32000-1 granting royalty-free rights for all patents owned by Adobe that are necessary to make, use, sell, and distribute PDF-compliant implementations. PDF 1.7, the sixth edition of the PDF specification that became ISO 32000-1, includes some proprietary technologies defined only by Adobe, such as Adobe XML Forms Architecture (XFA) and JavaScript extension for Acrobat, which are referenced by ISO 32000-1 as normative and indispensable for the full implementation of the ISO 32000-1 specification. These proprietary technologies are not standardized and their specification is published only on Adobes website. Many of them are also not supported by popular third-party implementations of PDF. Column 1",
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"content_type": "text",
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"score": None,
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"id": "fc18c987a8312e72a47fb1524f230bb0",
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"meta": {},
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"embedding": [0.1, 0.2, 0.3],
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},
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"answer": {
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"answer": "Adobe Systems",
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"type": "extractive",
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"context": "A sample PDF file\n\nHistory and standardization\nFormat (PDF) Adobe Systems made the PDF specification available free of charge in 1993. In the early ye",
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"offsets_in_context": [{"start": 60, "end": 73}],
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"offsets_in_document": [{"start": 60, "end": 73}],
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"document_ids": ["fc18c987a8312e72a47fb1524f230bb0"],
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"meta": {},
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"score": None,
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},
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"is_correct_answer": True,
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"is_correct_document": True,
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"origin": "user-feedback",
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"pipeline_id": "some-123",
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}
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@pytest.fixture
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def client(tmp_path):
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yaml_pipeline_path = Path(__file__).parent.resolve() / "samples" / "test.haystack-pipeline.yml"
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os.environ["PIPELINE_YAML_PATH"] = str(yaml_pipeline_path)
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os.environ["INDEXING_PIPELINE_NAME"] = "test-indexing"
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os.environ["QUERY_PIPELINE_NAME"] = "test-query"
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os.environ["FILE_UPLOAD_PATH"] = str(tmp_path)
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app = get_app()
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client = TestClient(app)
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MockDocumentStore.mocker.reset_mock()
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MockPDFToTextConverter.mocker.reset_mock()
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return client
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def test_get_all_documents(client):
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response = client.post(url="/documents/get_by_filters", data='{"filters": {}}')
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assert response.status_code == 200
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# Ensure `get_all_documents` was called with the expected `filters` param
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MockDocumentStore.mocker.get_all_documents.assert_called_with(filters={}, index=None)
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# Ensure results are part of the response body
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response_json = response.json()
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assert len(response_json) == 2
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def test_get_documents_with_filters(client):
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response = client.post(url="/documents/get_by_filters", data='{"filters": {"test_index": ["2"]}}')
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assert response.status_code == 200
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# Ensure `get_all_documents` was called with the expected `filters` param
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MockDocumentStore.mocker.get_all_documents.assert_called_with(filters={"test_index": ["2"]}, index=None)
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def test_delete_all_documents(client):
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response = client.post(url="/documents/delete_by_filters", data='{"filters": {}}')
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assert response.status_code == 200
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# Ensure `delete_documents` was called on the Document Store instance
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MockDocumentStore.mocker.delete_documents.assert_called_with(filters={}, index=None)
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def test_delete_documents_with_filters(client):
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response = client.post(url="/documents/delete_by_filters", data='{"filters": {"test_index": ["1"]}}')
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assert response.status_code == 200
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# Ensure `delete_documents` was called on the Document Store instance with the same params
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MockDocumentStore.mocker.delete_documents.assert_called_with(filters={"test_index": ["1"]}, index=None)
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def test_file_upload(client):
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file_to_upload = {"files": (Path(__file__).parent / "samples" / "pdf" / "sample_pdf_1.pdf").open("rb")}
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response = client.post(url="/file-upload", files=file_to_upload, data={"meta": '{"test_key": "test_value"}'})
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assert response.status_code == 200
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# Ensure the `convert` method was called with the right keyword params
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_, kwargs = MockPDFToTextConverter.mocker.convert.call_args
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# Files are renamed with random prefix like 83f4c1f5b2bd43f2af35923b9408076b_sample_pdf_1.pdf
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# so we just ensure the original file name is contained in the converted file name
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assert "sample_pdf_1.pdf" in str(kwargs["file_path"])
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assert kwargs["meta"]["test_key"] == "test_value"
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def test_file_upload_with_no_meta(client):
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file_to_upload = {"files": (Path(__file__).parent / "samples" / "pdf" / "sample_pdf_1.pdf").open("rb")}
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response = client.post(url="/file-upload", files=file_to_upload, data={})
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assert response.status_code == 200
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# Ensure the `convert` method was called with the right keyword params
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_, kwargs = MockPDFToTextConverter.mocker.convert.call_args
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assert kwargs["meta"] == {"name": "sample_pdf_1.pdf"}
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def test_file_upload_with_empty_meta(client):
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file_to_upload = {"files": (Path(__file__).parent / "samples" / "pdf" / "sample_pdf_1.pdf").open("rb")}
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response = client.post(url="/file-upload", files=file_to_upload, data={"meta": ""})
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assert response.status_code == 200
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# Ensure the `convert` method was called with the right keyword params
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_, kwargs = MockPDFToTextConverter.mocker.convert.call_args
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assert kwargs["meta"] == {"name": "sample_pdf_1.pdf"}
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def test_file_upload_with_wrong_meta(client):
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file_to_upload = {"files": (Path(__file__).parent / "samples" / "pdf" / "sample_pdf_1.pdf").open("rb")}
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response = client.post(url="/file-upload", files=file_to_upload, data={"meta": "1"})
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assert response.status_code == 500
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# Ensure the `convert` method was never called
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MockPDFToTextConverter.mocker.convert.assert_not_called()
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def test_file_upload_cleanup_after_indexing(client):
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# mock the upload path to use a dedicated temp folder
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with mock.patch("rest_api.controller.file_upload.FILE_UPLOAD_PATH", os.environ.get("FILE_UPLOAD_PATH")):
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file_to_upload = {"files": (Path(__file__).parent / "samples" / "pdf" / "sample_pdf_1.pdf").open("rb")}
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response = client.post(url="/file-upload", files=file_to_upload, data={})
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assert response.status_code == 200
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# ensure upload folder is empty
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uploaded_files = os.listdir(os.environ.get("FILE_UPLOAD_PATH"))
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assert len(uploaded_files) == 0
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def test_file_upload_keep_files_after_indexing(client):
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# mock the upload path to use a dedicated temp folder
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with mock.patch("rest_api.controller.file_upload.FILE_UPLOAD_PATH", os.environ.get("FILE_UPLOAD_PATH")):
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file_to_upload = {"files": (Path(__file__).parent / "samples" / "pdf" / "sample_pdf_1.pdf").open("rb")}
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response = client.post(url="/file-upload", files=file_to_upload, params={"keep_files": "true"})
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assert response.status_code == 200
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# ensure original file was kept
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uploaded_files = os.listdir(os.environ.get("FILE_UPLOAD_PATH"))
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assert len(uploaded_files) == 1
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def test_query_with_no_filter(client):
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with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
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# `run` must return a dictionary containing a `query` key
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mocked_pipeline.run.return_value = {"query": TEST_QUERY}
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response = client.post(url="/query", json={"query": TEST_QUERY})
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assert response.status_code == 200
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# Ensure `run` was called with the expected parameters
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mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params={}, debug=False)
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def test_query_with_one_filter(client):
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params = {"TestRetriever": {"filters": {"test_key": ["test_value"]}}}
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with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
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# `run` must return a dictionary containing a `query` key
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mocked_pipeline.run.return_value = {"query": TEST_QUERY}
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response = client.post(url="/query", json={"query": TEST_QUERY, "params": params})
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assert response.status_code == 200
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# Ensure `run` was called with the expected parameters
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mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params=params, debug=False)
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def test_query_with_one_global_filter(client):
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params = {"filters": {"test_key": ["test_value"]}}
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with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
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# `run` must return a dictionary containing a `query` key
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mocked_pipeline.run.return_value = {"query": TEST_QUERY}
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response = client.post(url="/query", json={"query": TEST_QUERY, "params": params})
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assert response.status_code == 200
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# Ensure `run` was called with the expected parameters
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mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params=params, debug=False)
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def test_query_with_filter_list(client):
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params = {"TestRetriever": {"filters": {"test_key": ["test_value", "another_value"]}}}
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with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
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# `run` must return a dictionary containing a `query` key
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mocked_pipeline.run.return_value = {"query": TEST_QUERY}
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response = client.post(url="/query", json={"query": TEST_QUERY, "params": params})
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assert response.status_code == 200
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# Ensure `run` was called with the expected parameters
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mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params=params, debug=False)
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def test_query_with_no_documents_and_no_answers(client):
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with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
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# `run` must return a dictionary containing a `query` key
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mocked_pipeline.run.return_value = {"query": TEST_QUERY}
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response = client.post(url="/query", json={"query": TEST_QUERY})
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assert response.status_code == 200
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response_json = response.json()
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assert response_json["documents"] == []
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assert response_json["answers"] == []
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def test_query_with_bool_in_params(client):
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"""
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Ensure items of params can be other types than dictionary, see
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https://github.com/deepset-ai/haystack/issues/2656
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"""
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with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
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# `run` must return a dictionary containing a `query` key
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mocked_pipeline.run.return_value = {"query": TEST_QUERY}
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request_body = {
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"query": TEST_QUERY,
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"params": {"debug": True, "Retriever": {"top_k": 5}, "Reader": {"top_k": 3}},
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}
|
|
response = client.post(url="/query", json=request_body)
|
|
assert response.status_code == 200
|
|
response_json = response.json()
|
|
assert response_json["documents"] == []
|
|
assert response_json["answers"] == []
|
|
|
|
|
|
def test_query_with_embeddings(client):
|
|
with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
|
|
# `run` must return a dictionary containing a `query` key
|
|
mocked_pipeline.run.return_value = {
|
|
"query": TEST_QUERY,
|
|
"documents": [
|
|
Document(
|
|
content="test",
|
|
content_type="text",
|
|
score=0.9,
|
|
meta={"test_key": "test_value"},
|
|
embedding=np.array([0.1, 0.2, 0.3]),
|
|
)
|
|
],
|
|
}
|
|
response = client.post(url="/query", json={"query": TEST_QUERY})
|
|
assert response.status_code == 200
|
|
assert len(response.json()["documents"]) == 1
|
|
assert response.json()["documents"][0]["content"] == "test"
|
|
assert response.json()["documents"][0]["content_type"] == "text"
|
|
assert response.json()["documents"][0]["embedding"] == [0.1, 0.2, 0.3]
|
|
# Ensure `run` was called with the expected parameters
|
|
mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params={}, debug=False)
|
|
|
|
|
|
def test_query_with_dataframe(client):
|
|
with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
|
|
# `run` must return a dictionary containing a `query` key
|
|
mocked_pipeline.run.return_value = {
|
|
"query": TEST_QUERY,
|
|
"documents": [
|
|
Document(
|
|
content=pd.DataFrame.from_records([{"col1": "text_1", "col2": 1}, {"col1": "text_2", "col2": 2}]),
|
|
content_type="table",
|
|
score=0.9,
|
|
meta={"test_key": "test_value"},
|
|
)
|
|
],
|
|
"answers": [
|
|
Answer(
|
|
answer="text_2",
|
|
type="extractive",
|
|
score=0.95,
|
|
context=pd.DataFrame.from_records([{"col1": "text_1", "col2": 1}, {"col1": "text_2", "col2": 2}]),
|
|
offsets_in_document=[TableCell(1, 0)],
|
|
offsets_in_context=[TableCell(1, 0)],
|
|
meta={"aggregation_operator": "NONE", "answer_cells": ["text_2"]},
|
|
)
|
|
],
|
|
}
|
|
response = client.post(url="/query", json={"query": TEST_QUERY})
|
|
assert response.status_code == 200
|
|
assert len(response.json()["documents"]) == 1
|
|
assert response.json()["documents"][0]["content"] == [["col1", "col2"], ["text_1", 1], ["text_2", 2]]
|
|
assert response.json()["documents"][0]["content_type"] == "table"
|
|
assert len(response.json()["answers"]) == 1
|
|
assert response.json()["answers"][0]["context"] == [["col1", "col2"], ["text_1", 1], ["text_2", 2]]
|
|
assert response.json()["answers"][0]["offsets_in_document"] == [{"row": 1, "col": 0}]
|
|
assert response.json()["answers"][0]["offsets_in_context"] == [{"row": 1, "col": 0}]
|
|
# Ensure `run` was called with the expected parameters
|
|
mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params={}, debug=False)
|
|
|
|
|
|
def test_query_with_prompt_node(client):
|
|
with mock.patch("rest_api.controller.search.query_pipeline") as mocked_pipeline:
|
|
# `run` must return a dictionary containing a `query` key
|
|
mocked_pipeline.run.return_value = {
|
|
"query": TEST_QUERY,
|
|
"documents": [
|
|
Document(
|
|
content="test",
|
|
content_type="text",
|
|
score=0.9,
|
|
meta={"test_key": "test_value"},
|
|
embedding=np.array([0.1, 0.2, 0.3]),
|
|
)
|
|
],
|
|
"results": ["test"],
|
|
}
|
|
response = client.post(url="/query", json={"query": TEST_QUERY})
|
|
assert response.status_code == 200
|
|
assert len(response.json()["documents"]) == 1
|
|
assert response.json()["documents"][0]["content"] == "test"
|
|
assert response.json()["documents"][0]["content_type"] == "text"
|
|
assert response.json()["documents"][0]["embedding"] == [0.1, 0.2, 0.3]
|
|
assert len(response.json()["results"]) == 1
|
|
assert response.json()["results"][0] == "test"
|
|
# Ensure `run` was called with the expected parameters
|
|
mocked_pipeline.run.assert_called_with(query=TEST_QUERY, params={}, debug=False)
|
|
|
|
|
|
def test_write_feedback(client, feedback):
|
|
response = client.post(url="/feedback", json=feedback)
|
|
assert response.status_code == 200
|
|
# Ensure `write_labels` was called on the Document Store instance passing a list
|
|
# containing only one label
|
|
args, _ = MockDocumentStore.mocker.write_labels.call_args
|
|
labels = args[0]
|
|
assert len(labels) == 1
|
|
# Ensure all the items that were in `feedback` are also part of
|
|
# the stored label (which has several more keys)
|
|
label = labels[0]
|
|
assert label == Label.from_dict(feedback)
|
|
|
|
|
|
def test_write_feedback_without_id(client, feedback):
|
|
del feedback["id"]
|
|
response = client.post(url="/feedback", json=feedback)
|
|
assert response.status_code == 200
|
|
# Ensure `write_labels` was called on the Document Store instance passing a list
|
|
# containing only one label
|
|
args, _ = MockDocumentStore.mocker.write_labels.call_args
|
|
labels = args[0]
|
|
assert len(labels) == 1
|
|
# Ensure the `id` was automatically set before storing the label
|
|
label = labels[0].to_dict()
|
|
assert label["id"]
|
|
|
|
|
|
def test_get_feedback(client, feedback):
|
|
MockDocumentStore.mocker.get_all_labels.return_value = [Label.from_dict(feedback)]
|
|
response = client.get("/feedback")
|
|
assert response.status_code == 200
|
|
assert Label.from_dict(response.json()[0]) == Label.from_dict(feedback)
|
|
MockDocumentStore.mocker.get_all_labels.assert_called_once()
|
|
|
|
|
|
def test_delete_feedback(client, monkeypatch, feedback):
|
|
# This label contains `origin=user-feedback` and should be deleted
|
|
label_to_delete = Label.from_dict(feedback)
|
|
# This other label has a different origin and should NOT be deleted
|
|
label_to_keep = Label.from_dict(feedback)
|
|
label_to_keep.id = "42"
|
|
label_to_keep.origin = "not-from-api"
|
|
|
|
# Patch the Document Store so it returns the 2 labels above
|
|
def get_all_labels(*args, **kwargs):
|
|
return [label_to_delete, label_to_keep]
|
|
|
|
monkeypatch.setattr(MockDocumentStore, "get_all_labels", get_all_labels)
|
|
|
|
# Call the API and ensure `delete_labels` was called only on the label with id=123
|
|
response = client.delete(url="/feedback")
|
|
assert response.status_code == 200
|
|
MockDocumentStore.mocker.delete_labels.assert_called_with(ids=["123"], index=None)
|
|
|
|
|
|
def test_export_feedback(client, monkeypatch, feedback):
|
|
def get_all_labels(*args, **kwargs):
|
|
return [Label.from_dict(feedback)]
|
|
|
|
monkeypatch.setattr(MockDocumentStore, "get_all_labels", get_all_labels)
|
|
|
|
feedback_urls = [
|
|
"/export-feedback?full_document_context=true",
|
|
"/export-feedback?full_document_context=false&context_size=50",
|
|
"/export-feedback?full_document_context=false&context_size=50000",
|
|
]
|
|
for url in feedback_urls:
|
|
response = client.get(url)
|
|
response_json = response.json()
|
|
context = response_json["data"][0]["paragraphs"][0]["context"]
|
|
answer_start = response_json["data"][0]["paragraphs"][0]["qas"][0]["answers"][0]["answer_start"]
|
|
answer = response_json["data"][0]["paragraphs"][0]["qas"][0]["answers"][0]["text"]
|
|
assert context[answer_start : answer_start + len(answer)] == answer
|
|
|
|
|
|
def test_get_feedback_malformed_query(client, feedback):
|
|
feedback["unexpected_field"] = "misplaced-value"
|
|
response = client.post(url="/feedback", json=feedback)
|
|
assert response.status_code == 422
|
|
|
|
|
|
def test_get_health_check(client):
|
|
with mock.patch("rest_api.controller.health.os") as os:
|
|
os.cpu_count.return_value = 4
|
|
os.getpid.return_value = int(2345)
|
|
with mock.patch("rest_api.controller.health.pynvml") as pynvml:
|
|
pynvml.nvmlDeviceGetCount.return_value = 2
|
|
pynvml.nvmlDeviceGetHandleByIndex.return_value = "device"
|
|
pynvml.nvmlDeviceGetMemoryInfo.return_value = Mock(total=34359738368)
|
|
pynvml.nvmlDeviceGetComputeRunningProcesses.return_value = [
|
|
Mock(pid=int(1234), usedGpuMemory=4000000000),
|
|
Mock(pid=int(2345), usedGpuMemory=2097152000),
|
|
Mock(pid=int(3456), usedGpuMemory=2000000000),
|
|
]
|
|
pynvml.nvmlDeviceGetUtilizationRates.return_value = Mock(gpu=45)
|
|
with mock.patch("rest_api.controller.health.psutil") as psutil:
|
|
psutil.virtual_memory.return_value = Mock(total=34359738368)
|
|
psutil.Process.return_value = Mock(
|
|
cpu_percent=Mock(return_value=200), memory_percent=Mock(return_value=75)
|
|
)
|
|
|
|
response = client.get(url="/health")
|
|
assert response.status_code == 200
|
|
assert response.json() == {
|
|
"version": haystack.__version__,
|
|
"cpu": {"used": 50.0},
|
|
"memory": {"used": 75.0},
|
|
"gpus": [
|
|
{"index": 0, "usage": {"kernel_usage": 45.0, "memory_total": 32768.0, "memory_used": 2000}},
|
|
{"index": 1, "usage": {"kernel_usage": 45.0, "memory_total": 32768.0, "memory_used": 2000}},
|
|
],
|
|
}
|