Add file of each entry to entry dict in org_to_jsonl converter

- This will help filter query to org content type using file filter
- Do not explicitly specify items being extracted from json of each
  entry in text_search as all text search content types do not have
  file being set in jsonl converters
This commit is contained in:
Debanjum Singh Solanky 2022-09-05 01:57:17 +03:00
parent 7e083d3e96
commit 7606724dbc
3 changed files with 16 additions and 16 deletions

View file

@ -28,10 +28,10 @@ def org_to_jsonl(org_files, org_file_filter, output_file):
org_files = get_org_files(org_files, org_file_filter)
# Extract Entries from specified Org files
entries = extract_org_entries(org_files)
entries, file_to_entries = extract_org_entries(org_files)
# Process Each Entry from All Notes Files
jsonl_data = convert_org_entries_to_jsonl(entries)
jsonl_data = convert_org_entries_to_jsonl(entries, file_to_entries)
# Compress JSONL formatted Data
if output_file.suffix == ".gz":
@ -66,18 +66,19 @@ def get_org_files(org_files=None, org_file_filter=None):
def extract_org_entries(org_files):
"Extract entries from specified Org files"
entries = []
entry_to_file_map = []
for org_file in org_files:
entries.extend(
orgnode.makelist(
str(org_file)))
org_file_entries = orgnode.makelist(str(org_file))
entry_to_file_map += [org_file]*len(org_file_entries)
entries.extend(org_file_entries)
return entries
return entries, entry_to_file_map
def convert_org_entries_to_jsonl(entries) -> str:
def convert_org_entries_to_jsonl(entries, entry_to_file_map) -> str:
"Convert each Org-Mode entries to JSON and collate as JSONL"
jsonl = ''
for entry in entries:
for entry_id, entry in enumerate(entries):
entry_dict = dict()
# Ignore title notes i.e notes with just headings and empty body
@ -106,6 +107,7 @@ def convert_org_entries_to_jsonl(entries) -> str:
if entry_dict:
entry_dict["raw"] = f'{entry}'
entry_dict["file"] = f'{entry_to_file_map[entry_id]}'
# Convert Dictionary to JSON and Append to JSONL string
jsonl += f'{json.dumps(entry_dict, ensure_ascii=False)}\n'

View file

@ -52,9 +52,7 @@ def initialize_model(search_config: TextSearchConfig):
def extract_entries(jsonl_file):
"Load entries from compressed jsonl"
return [{'compiled': f'{entry["compiled"]}', 'raw': f'{entry["raw"]}'}
for entry
in load_jsonl(jsonl_file)]
return load_jsonl(jsonl_file)
def compute_embeddings(entries, bi_encoder, embeddings_file, regenerate=False):
@ -83,7 +81,7 @@ def query(raw_query: str, model: TextSearchModel, rank_results=False):
for filter in filters_in_query:
query, entries, corpus_embeddings = filter.apply(query, entries, corpus_embeddings)
end = time.time()
logger.debug(f"Filter Time: {end - start:.3f} seconds")
logger.debug(f"Total Filter Time: {end - start:.3f} seconds")
if entries is None or len(entries) == 0:
return [], []

View file

@ -21,10 +21,10 @@ def test_entry_with_empty_body_line_to_jsonl(tmp_path):
# Act
# Extract Entries from specified Org files
entries = extract_org_entries(org_files=[orgfile])
entries, entry_to_file_map = extract_org_entries(org_files=[orgfile])
# Process Each Entry from All Notes Files
jsonl_data = convert_org_entries_to_jsonl(entries)
jsonl_data = convert_org_entries_to_jsonl(entries, entry_to_file_map)
# Assert
assert is_none_or_empty(jsonl_data)
@ -43,10 +43,10 @@ def test_entry_with_body_to_jsonl(tmp_path):
# Act
# Extract Entries from specified Org files
entries = extract_org_entries(org_files=[orgfile])
entries, entry_to_file_map = extract_org_entries(org_files=[orgfile])
# Process Each Entry from All Notes Files
jsonl_string = convert_org_entries_to_jsonl(entries)
jsonl_string = convert_org_entries_to_jsonl(entries, entry_to_file_map)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert