mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-07-25 01:40:22 +00:00
f13443054a
* Adding dummy generator implementation * Adding tutorial to try the model * Committing current non working code * Committing current update where we need to call generate function directly and need to convert embedding to tensor way * Addressing review comments. * Refactoring finder, and implementing rag_generator class. * Refined the implementation of RAGGenerator and now it is in clean shape * Renaming RAGGenerator to RAGenerator * Reverting change from finder.py and addressing review comments * Remove support for RagSequenceForGeneration * Utilizing embed_passage function from DensePassageRetriever * Adding sample test data to verify generator output * Updating testing script * Updating testing script * Fixing bug related to top_k * Updating latest farm dependency * Comment out farm dependency * Reverting changes from TransformersReader * Adding transformers dataset to compare transformers and haystack generator implementation * Using generator_encoder instead of question_encoder to generate context_input_ids * Adding workaround to install FARM dependency from master branch * Removing unnecessary changes * Fixing generator test * Removing transformers datasets * Fixing generator test * Some cleanup and updating TODO comments * Adding tutorial notebook * Updating tutorials with comments * Explicitly passing token model in RAG test * Addressing review comments * Fixing notebook * Refactoring tests to reduce memory footprint * Split generator tests in separate ci step and before running it reclaim memory by terminating containers * Moving tika dependent test to separate dir * Remove unwanted code * Brining reader under session scope * Farm is now session object hence restoring changes from default value * Updating assert for pdf converter * Dummy commit to trigger CI flow * REducing memory footprint required for generator tests * Fixing mypy issues * Marking test with tika and elasticsearch markers. Reverting changes in CI and pytest splits * reducing changes * Fixing CI * changing elastic search ci * Fixing test error * Disabling return of embedding * Marking generator test as well * Refactoring tutorials * Increasing ES memory to 750M * Trying another fix for ES CI * Reverting CI changes * Splitting tests in CI * Generator and non-generator markers split * Adding pytest.ini to add markers and enable strict-markers option * Reducing elastic search container memory * Simplifying generator test by using documents with embedding directly * Bump up farm to 0.5.0
18 lines
579 B
Python
18 lines
579 B
Python
import pytest
|
|
|
|
from haystack.preprocessor import utils
|
|
from haystack.preprocessor.cleaning import clean_wiki_text
|
|
|
|
|
|
@pytest.mark.tika
|
|
def test_convert_files_to_dicts(xpdf_fixture):
|
|
documents = utils.convert_files_to_dicts(dir_path="samples", clean_func=clean_wiki_text, split_paragraphs=True)
|
|
assert documents and len(documents) > 0
|
|
|
|
|
|
@pytest.mark.tika
|
|
def test_tika_convert_files_to_dicts(tika_fixture):
|
|
documents = utils.tika_convert_files_to_dicts(dir_path="samples", clean_func=clean_wiki_text, split_paragraphs=True)
|
|
assert documents and len(documents) > 0
|
|
|