haystack/test/test_finder.py

41 lines
2.0 KiB
Python
Raw Normal View History

2020-04-27 12:54:12 -07:00
from haystack import Finder
from haystack.database.sql import SQLDocumentStore
from haystack.reader.transformers import TransformersReader
from haystack.retriever.tfidf import TfidfRetriever
def test_finder_get_answers():
test_docs = [
{"name": "testing the finder 1", "text": "testing the finder with pyhton unit test 1", "meta": {"test": "test"}},
{"name": "testing the finder 2", "text": "testing the finder with pyhton unit test 2", "meta": {"test": "test"}},
{"name": "testing the finder 3", "text": "testing the finder with pyhton unit test 3", "meta": {"test": "test"}}
2020-04-27 12:54:12 -07:00
]
document_store = SQLDocumentStore(url="sqlite:///qa_test.db")
document_store.write_documents(test_docs)
retriever = TfidfRetriever(document_store=document_store)
reader = TransformersReader(model="distilbert-base-uncased-distilled-squad",
tokenizer="distilbert-base-uncased", use_gpu=-1)
finder = Finder(reader, retriever)
prediction = finder.get_answers(question="testing finder", top_k_retriever=10,
top_k_reader=5)
assert prediction is not None
def test_finder_get_answers_single_result():
test_docs = [
{"name": "testing the finder 1", "text": "testing the finder with pyhton unit test 1"},
{"name": "testing the finder 2", "text": "testing the finder with pyhton unit test 2"},
{"name": "testing the finder 3", "text": "testing the finder with pyhton unit test 3"}
]
document_store = SQLDocumentStore(url="sqlite:///qa_test.db")
document_store.write_documents(test_docs)
retriever = TfidfRetriever(document_store=document_store)
reader = TransformersReader(model="distilbert-base-uncased-distilled-squad",
tokenizer="distilbert-base-uncased", use_gpu=-1)
finder = Finder(reader, retriever)
prediction = finder.get_answers(question="testing finder", top_k_retriever=1,
top_k_reader=1)
assert prediction is not None