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Allow indexing to continue even if there's an issue parsing a particular org file (#430)

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* Allow indexing to continue even if there's an issue parsing a particular org file
* Use approximation in pytorch comparison in text_search UT, skip additional file parser errors for org files
* Change error of expected failure
This commit is contained in:
sabaimran
2023-08-14 14:56:33 +00:00
committed by GitHub
parent 7b907add77
commit 0ea901c7c1
2 changed files with 16 additions and 10 deletions
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5
tests/test_text_search.py
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@@ -5,7 +5,6 @@ import os
# External Packages
import pytest
import torch
from khoj.utils.config import SearchModels
# Internal Packages
@@ -28,7 +27,7 @@ def test_text_search_setup_with_missing_file_raises_error(
# Act
# Generate notes embeddings during asymmetric setup
with pytest.raises(FileNotFoundError):
with pytest.raises(ValueError, match=r"^No valid entries found in specified files:*"):
text_search.setup(OrgToJsonl, org_config_with_only_new_file, search_config.asymmetric, regenerate=True)
@@ -281,7 +280,7 @@ def compare_index(initial_notes_model, final_notes_model):
# verify new entry embedding appended to embeddings tensor, without disrupting order or content of existing embeddings
for index in range(len(initial_notes_model.corpus_embeddings)):
if not torch.equal(final_notes_model.corpus_embeddings[index], initial_notes_model.corpus_embeddings[index]):
if not initial_notes_model.corpus_embeddings[index].allclose(final_notes_model.corpus_embeddings[index]):
mismatched_embeddings.append(index)
error_details = ""