khoj/tests/test_org_to_entries.py

241 lines
7.4 KiB
Python

# Standard Packages
import json
import os
# Internal Packages
from khoj.processor.org_mode.org_to_entries import OrgToEntries
from khoj.processor.text_to_entries import TextToEntries
from khoj.utils.helpers import is_none_or_empty
from khoj.utils.rawconfig import Entry
from khoj.utils.fs_syncer import get_org_files
from khoj.utils.rawconfig import TextContentConfig
def test_configure_heading_entry_to_jsonl(tmp_path):
"""Ensure entries with empty body are ignored, unless explicitly configured to index heading entries.
Property drawers not considered Body. Ignore control characters for evaluating if Body empty."""
# Arrange
entry = f"""*** Heading
:PROPERTIES:
:ID: 42-42-42
:END:
\t \r
"""
data = {
f"{tmp_path}": entry,
}
for index_heading_entries in [True, False]:
# Act
# Extract entries into jsonl from specified Org files
jsonl_string = OrgToEntries.convert_org_entries_to_jsonl(
OrgToEntries.convert_org_nodes_to_entries(
*OrgToEntries.extract_org_entries(org_files=data), index_heading_entries=index_heading_entries
)
)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
if index_heading_entries:
# Entry with empty body indexed when index_heading_entries set to True
assert len(jsonl_data) == 1
else:
# Entry with empty body ignored when index_heading_entries set to False
assert is_none_or_empty(jsonl_data)
def test_entry_split_when_exceeds_max_words(tmp_path):
"Ensure entries with compiled words exceeding max_words are split."
# Arrange
entry = f"""*** Heading
\t\r
Body Line
"""
data = {
f"{tmp_path}": entry,
}
expected_heading = f"* {tmp_path.stem}\n** Heading"
# Act
# Extract Entries from specified Org files
entries, entry_to_file_map = OrgToEntries.extract_org_entries(org_files=data)
# Split each entry from specified Org files by max words
jsonl_string = OrgToEntries.convert_org_entries_to_jsonl(
TextToEntries.split_entries_by_max_tokens(
OrgToEntries.convert_org_nodes_to_entries(entries, entry_to_file_map), max_tokens=4
)
)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 2
# Ensure compiled entries split by max_words start with entry heading (for search context)
assert all([entry["compiled"].startswith(expected_heading) for entry in jsonl_data])
def test_entry_split_drops_large_words():
"Ensure entries drops words larger than specified max word length from compiled version."
# Arrange
entry_text = f"""*** Heading
\t\r
Body Line 1
"""
entry = Entry(raw=entry_text, compiled=entry_text)
# Act
# Split entry by max words and drop words larger than max word length
processed_entry = TextToEntries.split_entries_by_max_tokens([entry], max_word_length=5)[0]
# Assert
# "Heading" dropped from compiled version because its over the set max word limit
assert len(processed_entry.compiled.split()) == len(entry_text.split()) - 1
def test_entry_with_body_to_jsonl(tmp_path):
"Ensure entries with valid body text are loaded."
# Arrange
entry = f"""*** Heading
:PROPERTIES:
:ID: 42-42-42
:END:
\t\r
Body Line 1
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Org files
entries, entry_to_file_map = OrgToEntries.extract_org_entries(org_files=data)
# Process Each Entry from All Notes Files
jsonl_string = OrgToEntries.convert_org_entries_to_jsonl(
OrgToEntries.convert_org_nodes_to_entries(entries, entry_to_file_map)
)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 1
def test_file_with_entry_after_intro_text_to_jsonl(tmp_path):
"Ensure intro text before any headings is indexed."
# Arrange
entry = f"""
Intro text
* Entry Heading
entry body
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Org files
entry_nodes, file_to_entries = OrgToEntries.extract_org_entries(org_files=data)
# Process Each Entry from All Notes Files
entries = OrgToEntries.convert_org_nodes_to_entries(entry_nodes, file_to_entries)
jsonl_string = OrgToEntries.convert_org_entries_to_jsonl(entries)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 2
def test_file_with_no_headings_to_jsonl(tmp_path):
"Ensure files with no heading, only body text are loaded."
# Arrange
entry = f"""
- Bullet point 1
- Bullet point 2
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Org files
entry_nodes, file_to_entries = OrgToEntries.extract_org_entries(org_files=data)
# Process Each Entry from All Notes Files
entries = OrgToEntries.convert_org_nodes_to_entries(entry_nodes, file_to_entries)
jsonl_string = OrgToEntries.convert_org_entries_to_jsonl(entries)
jsonl_data = [json.loads(json_string) for json_string in jsonl_string.splitlines()]
# Assert
assert len(jsonl_data) == 1
def test_get_org_files(tmp_path):
"Ensure Org files specified via input-filter, input-files extracted"
# Arrange
# Include via input-filter globs
group1_file1 = create_file(tmp_path, filename="group1-file1.org")
group1_file2 = create_file(tmp_path, filename="group1-file2.org")
group2_file1 = create_file(tmp_path, filename="group2-file1.org")
group2_file2 = create_file(tmp_path, filename="group2-file2.org")
# Include via input-file field
orgfile1 = create_file(tmp_path, filename="orgfile1.org")
# Not included by any filter
create_file(tmp_path, filename="orgfile2.org")
create_file(tmp_path, filename="text1.txt")
expected_files = set(
[
os.path.join(tmp_path, file.name)
for file in [group1_file1, group1_file2, group2_file1, group2_file2, orgfile1]
]
)
# Setup input-files, input-filters
input_files = [tmp_path / "orgfile1.org"]
input_filter = [tmp_path / "group1*.org", tmp_path / "group2*.org"]
org_config = TextContentConfig(
input_files=input_files,
input_filter=[str(filter) for filter in input_filter],
compressed_jsonl=tmp_path / "test.jsonl",
embeddings_file=tmp_path / "test_embeddings.jsonl",
)
# Act
extracted_org_files = get_org_files(org_config)
# Assert
assert len(extracted_org_files) == 5
assert set(extracted_org_files.keys()) == expected_files
def test_extract_entries_with_different_level_headings(tmp_path):
"Extract org entries with different level headings."
# Arrange
entry = f"""
* Heading 1
** Heading 2
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Org files
entries, _ = OrgToEntries.extract_org_entries(org_files=data)
# Assert
assert len(entries) == 2
assert f"{entries[0]}".startswith("* Heading 1")
assert f"{entries[1]}".startswith("** Heading 2")
# Helper Functions
def create_file(tmp_path, entry=None, filename="test.org"):
org_file = tmp_path / filename
org_file.touch()
if entry:
org_file.write_text(entry)
return org_file