Fix comments, use minimal test case, regenerate test index, merge debug logs

- Remove property drawer from test entry for max_words splitting test
  - Property drawer is not required for the test
  - Keep minimal test case to reduce chance for confusion
This commit is contained in:
Debanjum Singh Solanky 2022-12-25 21:45:40 -03:00
parent b283650991
commit 24676f95d8
3 changed files with 7 additions and 10 deletions

View file

@ -150,16 +150,16 @@ def query(raw_query: str, model: TextSearchModel, rank_results=False):
end = time.time()
logger.debug(f"Rank Time: {end - start:.3f} seconds on device: {state.device}")
# Deduplicate entries by raw entry text
# Required because entries are split by max_word count supported by ML model. This results in duplicate hits, entries
# Deduplicate entries by raw entry text before showing to users
# Compiled entries are split by max tokens supported by ML models.
# This can result in duplicate hits, entries shown to user.
start = time.time()
seen, original_hits_count = set(), len(hits)
hits = [hit for hit in hits
if entries[hit['corpus_id']].raw not in seen and not seen.add(entries[hit['corpus_id']].raw)]
duplicate_hits = original_hits_count - len(hits)
end = time.time()
logger.debug(f"Removed {duplicate_hits} Duplicate Hits")
logger.debug(f"Deduplication Time: {end - start:.3f} seconds")
logger.debug(f"Deduplication Time: {end - start:.3f} seconds. Removed {duplicate_hits} duplicates")
return hits, entries

View file

@ -40,9 +40,6 @@ def test_entry_split_when_exceeds_max_words(tmp_path):
"Ensure entries with compiled words exceeding max_words are split."
# Arrange
entry = f'''*** Heading
:PROPERTIES:
:ID: 42-42-42
:END:
\t\r
Body Line 1
'''
@ -52,7 +49,7 @@ def test_entry_split_when_exceeds_max_words(tmp_path):
# Extract Entries from specified Org files
entries, entry_to_file_map = OrgToJsonl.extract_org_entries(org_files=[orgfile])
# Split Each Entry from specified Org files by Max Words
# Split each entry from specified Org files by max words
jsonl_string = OrgToJsonl.convert_org_entries_to_jsonl(
TextToJsonl.split_entries_by_max_tokens(
OrgToJsonl.convert_org_nodes_to_entries(entries, entry_to_file_map),

View file

@ -83,7 +83,7 @@ def test_asymmetric_search(content_config: ContentConfig, search_config: SearchC
# ----------------------------------------------------------------------------------------------------
def test_entry_chunking_by_max_tokens(content_config: ContentConfig, search_config: SearchConfig):
# Arrange
initial_notes_model= text_search.setup(OrgToJsonl, content_config.org, search_config.asymmetric, regenerate=False)
initial_notes_model= text_search.setup(OrgToJsonl, content_config.org, search_config.asymmetric, regenerate=True)
assert len(initial_notes_model.entries) == 10
assert len(initial_notes_model.corpus_embeddings) == 10
@ -91,7 +91,7 @@ def test_entry_chunking_by_max_tokens(content_config: ContentConfig, search_conf
file_to_add_on_reload = Path(content_config.org.input_filter[0]).parent / "entry_exceeding_max_tokens.org"
content_config.org.input_files = [f'{file_to_add_on_reload}']
# Append Org-Mode Entry with size exceeding max token limit to new Org File in Config
# Insert org-mode entry with size exceeding max token limit to new org file
max_tokens = 256
with open(file_to_add_on_reload, "w") as f:
f.write(f"* Entry more than {max_tokens} words\n")