khoj/tests/test_org_to_entries.py

import json
import os

from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.fs_syncer import get_org_files
from khoj.utils.helpers import is_none_or_empty
from khoj.utils.rawconfig import Entry, 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():
    "Ensure entries with compiled words exceeding max_words are split."
    # Arrange
    tmp_path = "/tmp/test.org"
    entry = f"""*** Heading
    \t\r
    Body Line
    """
    data = {
        f"{tmp_path}": entry,
    }
    expected_heading = f"* Path: {tmp_path}\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