Fix a bunch of module comments and function visibility

packages/graphrag-cache/graphrag_cache/json_cache.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing 'JsonPipelineCache' model."""
+"""A module containing 'JsonCache' model."""
 
 import json
 from typing import Any

packages/graphrag/graphrag/callbacks/workflow_callbacks_manager.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing the WorkflowCallbacks registry."""
+"""A module containing 'WorkflowCallbacksManager' model."""
 
 from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks
 from graphrag.index.typing.pipeline_run_result import PipelineRunResult

packages/graphrag/graphrag/index/input/csv.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing load method definition."""
+"""A module containing 'CSVFileReader' model."""
 
 import logging
 from io import BytesIO

packages/graphrag/graphrag/index/input/factory.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing create_input method definition."""
+"""A module containing 'InputReaderFactory' model."""
 
 import logging
 

packages/graphrag/graphrag/index/input/input_reader.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing 'PipelineCache' model."""
+"""A module containing 'InputReader' model."""
 
 from __future__ import annotations
 

packages/graphrag/graphrag/index/input/json.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing load method definition."""
+"""A module containing 'JSONFileReader' model."""
 
 import json
 import logging

packages/graphrag/graphrag/index/input/text.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing load method definition."""
+"""A module containing 'TextFileReader' model."""
 
 import logging
 from pathlib import Path

packages/graphrag/graphrag/index/operations/chunk_text/chunk_text.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing _get_num_total, chunk, run_strategy and load_strategy methods definitions."""
+"""A module containing chunk_text method definitions."""
 
 from typing import Any, cast
 
@@ -54,7 +54,7 @@ def chunk_text(
     strategy: sentence
     ```
     """
-    strategy_exec = load_strategy(strategy)
+    strategy_exec = _load_strategy(strategy)
 
     num_total = _get_num_total(input, column)
     tick = progress_ticker(callbacks.progress, num_total)
@@ -67,7 +67,7 @@ def chunk_text(
         input.apply(
             cast(
                 "Any",
-                lambda x: run_strategy(
+                lambda x: _run_strategy(
                     strategy_exec,
                     x[column],
                     config,
@@ -79,7 +79,7 @@ def chunk_text(
     )
 
 
-def run_strategy(
+def _run_strategy(
     strategy_exec: ChunkStrategy,
     input: ChunkInput,
     config: ChunkingConfig,
@@ -111,7 +111,7 @@ def run_strategy(
     return results
 
 
-def load_strategy(strategy: ChunkStrategyType) -> ChunkStrategy:
+def _load_strategy(strategy: ChunkStrategyType) -> ChunkStrategy:
     """Load strategy method definition."""
     match strategy:
         case ChunkStrategyType.tokens:

packages/graphrag/graphrag/index/operations/chunk_text/strategies.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing chunk strategies."""
+"""A module containing run_tokens and run_sentences methods."""
 
 from collections.abc import Iterable
 

packages/graphrag/graphrag/index/operations/cluster_graph.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing cluster_graph, apply_clustering methods definition."""
+"""A module containing cluster_graph method definition."""
 
 import logging
 

packages/graphrag/graphrag/index/operations/compute_degree.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing create_graph definition."""
+"""A module containing compute_degree method definition."""
 
 import networkx as nx
 import pandas as pd

packages/graphrag/graphrag/index/operations/compute_edge_combined_degree.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing compute_edge_combined_degree methods definition."""
+"""A module containing compute_edge_combined_degree method definition."""
 
 from typing import cast
 

packages/graphrag/graphrag/index/operations/embed_text/embed_text.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing embed_text, load_strategy and create_row_from_embedding_data methods definition."""
+"""A module containing embed_text method definition."""
 
 import logging
 

packages/graphrag/graphrag/index/operations/embed_text/run_embed_text.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing run method definition."""
+"""A module containing 'TextEmbeddingResult' model and run_embed_text method definition."""
 
 import asyncio
 import logging

packages/graphrag/graphrag/index/operations/extract_graph/extract_graph.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing entity_extract methods."""
+"""A module containing extract_graph method."""
 
 import logging
 
@@ -35,7 +35,7 @@ async def extract_graph(
         nonlocal num_started
         text = row[text_column]
         id = row[id_column]
-        result = await run_extract_graph(
+        result = await _run_extract_graph(
             text=text,
             source_id=id,
             entity_types=entity_types,
@@ -68,7 +68,7 @@ async def extract_graph(
     return (entities, relationships)
 
 
-async def run_extract_graph(
+async def _run_extract_graph(
     text: str,
     source_id: str,
     entity_types: list[str],

packages/graphrag/graphrag/index/operations/graph_to_dataframes.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing create_graph definition."""
+"""A module containing graph_to_dataframes method definition."""
 
 import networkx as nx
 import pandas as pd

packages/graphrag/graphrag/index/operations/summarize_communities/build_mixed_context.py

@@ -1,6 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
-"""A module containing the build_mixed_context method definition."""
+
+"""A module containing build_mixed_context method definition."""
 
 import pandas as pd
 

packages/graphrag/graphrag/index/operations/summarize_communities/summarize_communities.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing create_community_reports and load_strategy methods definition."""
+"""A module containing summarize_communities method definition."""
 
 import logging
 from collections.abc import Callable

packages/graphrag/graphrag/index/operations/summarize_descriptions/description_summary_extractor.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing 'GraphExtractionResult' and 'GraphExtractor' models."""
+"""A module containing 'SummarizationResult' and 'SummarizeExtractor' models."""
 
 import json
 from dataclasses import dataclass

packages/graphrag/graphrag/index/text_splitting/text_splitting.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing the 'Tokenizer', 'TextSplitter', 'NoopTextSplitter' and 'TokenTextSplitter' models."""
+"""A module containing 'TokenChunkerOptions', 'TextSplitter', 'NoopTextSplitter', 'TokenTextSplitter', 'split_single_text_on_tokens', and 'split_multiple_texts_on_tokens'."""
 
 import logging
 from abc import ABC, abstractmethod

packages/graphrag/graphrag/index/utils/derive_from_rows.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""Apply a generic transform function to each row in a table."""
+"""A module containing derive_from_rows, derive_from_rows_asyncio_threads, and derive_from_rows_asyncio methods."""
 
 import asyncio
 import inspect
@@ -55,9 +55,6 @@ async def derive_from_rows(
             raise ValueError(msg)
 
 
-"""A module containing the derive_from_rows_async method."""
-
-
 async def derive_from_rows_asyncio_threads(
     input: pd.DataFrame,
     transform: Callable[[pd.Series], Awaitable[ItemType]],
@@ -88,9 +85,6 @@ async def derive_from_rows_asyncio_threads(
     )
 
 
-"""A module containing the derive_from_rows_async method."""
-
-
 async def derive_from_rows_asyncio(
     input: pd.DataFrame,
     transform: Callable[[pd.Series], Awaitable[ItemType]],

tests/mock_provider.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2025 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing mock model provider definitions."""
+"""A module containing 'MockChatLLM' and 'MockEmbeddingLLM' models."""
 
 from collections.abc import AsyncGenerator, Generator
 from typing import Any

tests/unit/indexing/operations/chunk_text/test_chunk_text.py

@@ -10,9 +10,9 @@ import pytest
 from graphrag.config.enums import ChunkStrategyType
 from graphrag.index.operations.chunk_text.chunk_text import (
     _get_num_total,
+    _load_strategy,
+    _run_strategy,
     chunk_text,
-    load_strategy,
-    run_strategy,
 )
 from graphrag.index.operations.chunk_text.typing import (
     TextChunk,
@@ -36,7 +36,7 @@ def test_get_num_total_array():
 def test_load_strategy_tokens():
     strategy_type = ChunkStrategyType.tokens
 
-    strategy_loaded = load_strategy(strategy_type)
+    strategy_loaded = _load_strategy(strategy_type)
 
     assert strategy_loaded.__name__ == "run_tokens"
 
@@ -44,7 +44,7 @@ def test_load_strategy_tokens():
 def test_load_strategy_sentence():
     strategy_type = ChunkStrategyType.sentence
 
-    strategy_loaded = load_strategy(strategy_type)
+    strategy_loaded = _load_strategy(strategy_type)
 
     assert strategy_loaded.__name__ == "run_sentences"
 
@@ -55,7 +55,7 @@ def test_load_strategy_none():
     with pytest.raises(
         ValueError, match="Unknown strategy: <enum 'ChunkStrategyType'>"
     ):
-        load_strategy(strategy_type)  # type: ignore
+        _load_strategy(strategy_type)  # type: ignore
 
 
 def test_run_strategy_str():
@@ -71,7 +71,7 @@ def test_run_strategy_str():
         )
     ]
 
-    runned = run_strategy(strategy_mocked, input, config, tick)
+    runned = _run_strategy(strategy_mocked, input, config, tick)
     assert runned == ["text test for run strategy"]
 
 
@@ -93,7 +93,7 @@ def test_run_strategy_arr_str():
         "use for strategy",
     ]
 
-    runned = run_strategy(strategy_mocked, input, config, tick)
+    runned = _run_strategy(strategy_mocked, input, config, tick)
     assert runned == expected
 
 
@@ -123,7 +123,7 @@ def test_run_strategy_arr_tuple():
         ),
     ]
 
-    runned = run_strategy(strategy_mocked, input, config, tick)
+    runned = _run_strategy(strategy_mocked, input, config, tick)
     assert runned == expected
 
 
@@ -153,12 +153,12 @@ def test_run_strategy_arr_tuple_same_doc():
         ),
     ]
 
-    runned = run_strategy(strategy_mocked, input, config, tick)
+    runned = _run_strategy(strategy_mocked, input, config, tick)
     assert runned == expected
 
 
-@mock.patch("graphrag.index.operations.chunk_text.chunk_text.load_strategy")
-@mock.patch("graphrag.index.operations.chunk_text.chunk_text.run_strategy")
+@mock.patch("graphrag.index.operations.chunk_text.chunk_text._load_strategy")
+@mock.patch("graphrag.index.operations.chunk_text.chunk_text._run_strategy")
 @mock.patch("graphrag.index.operations.chunk_text.chunk_text.progress_ticker")
 def test_chunk_text(mock_progress_ticker, mock_run_strategy, mock_load_strategy):
     input_data = pd.DataFrame({"name": ["The Shining"]})

tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py

@@ -2,7 +2,7 @@
 # Licensed under the MIT License
 import unittest
 
-from graphrag.index.operations.extract_graph.extract_graph import run_extract_graph
+from graphrag.index.operations.extract_graph.extract_graph import _run_extract_graph
 from graphrag.prompts.index.extract_graph import GRAPH_EXTRACTION_PROMPT
 
 from tests.unit.indexing.verbs.helpers.mock_llm import create_mock_llm
@@ -22,7 +22,7 @@ SIMPLE_EXTRACTION_RESPONSE = """
 
 class TestRunChain(unittest.IsolatedAsyncioTestCase):
     async def test_run_extract_graph_single_document_correct_entities_returned(self):
-        entities_df, _ = await run_extract_graph(
+        entities_df, _ = await _run_extract_graph(
             text="test_text",
             source_id="1",
             entity_types=["person"],
@@ -39,7 +39,7 @@ class TestRunChain(unittest.IsolatedAsyncioTestCase):
         )
 
     async def test_run_extract_graph_single_document_correct_edges_returned(self):
-        _, relationships_df = await run_extract_graph(
+        _, relationships_df = await _run_extract_graph(
             text="test_text",
             source_id="1",
             entity_types=["person"],
@@ -61,7 +61,7 @@ class TestRunChain(unittest.IsolatedAsyncioTestCase):
         }
 
     async def test_run_extract_graph_single_document_source_ids_mapped(self):
-        entities_df, relationships_df = await run_extract_graph(
+        entities_df, relationships_df = await _run_extract_graph(
             text="test_text",
             source_id="1",
             entity_types=["person"],