From 99aea5226eabd024cdfa766737574e3958528230 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Mon, 5 Jan 2026 16:35:14 -0800 Subject: [PATCH 01/30] Update input factory to match other factories --- .../graphrag_cache/cache_factory.py | 2 +- packages/graphrag/graphrag/config/enums.py | 4 +- .../config/models/graph_rag_config.py | 2 +- .../graphrag/config/models/input_config.py | 8 +- packages/graphrag/graphrag/index/input/csv.py | 4 +- .../graphrag/graphrag/index/input/factory.py | 26 ------ .../graphrag/index/input/input_reader.py | 40 ++++++--- .../index/input/input_reader_factory.py | 82 +++++++++++++++++++ .../graphrag/graphrag/index/input/json.py | 4 +- .../graphrag/graphrag/index/input/text.py | 2 +- .../graphrag/graphrag/index/input/util.py | 24 +++--- .../index/workflows/load_input_documents.py | 9 +- .../index/workflows/load_update_documents.py | 7 +- .../graphrag/prompt_tune/loader/input.py | 7 +- tests/unit/indexing/input/test_csv_loader.py | 33 +++----- tests/unit/indexing/input/test_json_loader.py | 37 +++------ tests/unit/indexing/input/test_txt_loader.py | 23 ++---- tests/verbs/test_create_community_reports.py | 9 +- 18 files changed, 176 insertions(+), 147 deletions(-) delete mode 100644 packages/graphrag/graphrag/index/input/factory.py create mode 100644 packages/graphrag/graphrag/index/input/input_reader_factory.py diff --git a/packages/graphrag-cache/graphrag_cache/cache_factory.py b/packages/graphrag-cache/graphrag_cache/cache_factory.py index f8bbd65dcc..6e4bc32813 100644 --- a/packages/graphrag-cache/graphrag_cache/cache_factory.py +++ b/packages/graphrag-cache/graphrag_cache/cache_factory.py @@ -26,7 +26,7 @@ def register_cache( cache_initializer: Callable[..., Cache], scope: ServiceScope = "transient", ) -> None: - """Register a custom storage implementation. + """Register a custom cache implementation. Args ---- diff --git a/packages/graphrag/graphrag/config/enums.py b/packages/graphrag/graphrag/config/enums.py index 4835763afc..a5b6b74ab2 100644 --- a/packages/graphrag/graphrag/config/enums.py +++ b/packages/graphrag/graphrag/config/enums.py @@ -5,7 +5,7 @@ from __future__ import annotations -from enum import Enum +from enum import Enum, StrEnum class CacheType(str, Enum): @@ -27,7 +27,7 @@ def __repr__(self): return f'"{self.value}"' -class InputFileType(str, Enum): +class InputFileType(StrEnum): """The input file type for the pipeline.""" csv = "csv" diff --git a/packages/graphrag/graphrag/config/models/graph_rag_config.py b/packages/graphrag/graphrag/config/models/graph_rag_config.py index 162fe12567..9a1ac89b17 100644 --- a/packages/graphrag/graphrag/config/models/graph_rag_config.py +++ b/packages/graphrag/graphrag/config/models/graph_rag_config.py @@ -113,7 +113,7 @@ def _validate_input_pattern(self) -> None: if self.input.file_type == defs.InputFileType.text: self.input.file_pattern = ".*\\.txt$" else: - self.input.file_pattern = f".*\\.{self.input.file_type.value}$" + self.input.file_pattern = f".*\\.{self.input.file_type}$" def _validate_input_base_dir(self) -> None: """Validate the input base directory.""" diff --git a/packages/graphrag/graphrag/config/models/input_config.py b/packages/graphrag/graphrag/config/models/input_config.py index c3c30f6302..e3ebb9cd4c 100644 --- a/packages/graphrag/graphrag/config/models/input_config.py +++ b/packages/graphrag/graphrag/config/models/input_config.py @@ -4,23 +4,25 @@ """Parameterization settings for the default configuration.""" from graphrag_storage import StorageConfig -from pydantic import BaseModel, Field +from pydantic import BaseModel, ConfigDict, Field import graphrag.config.defaults as defs from graphrag.config.defaults import graphrag_config_defaults -from graphrag.config.enums import InputFileType class InputConfig(BaseModel): """The default configuration section for Input.""" + model_config = ConfigDict(extra="allow") + """Allow extra fields to support custom cache implementations.""" + storage: StorageConfig = Field( description="The storage configuration to use for reading input documents.", default=StorageConfig( base_dir=graphrag_config_defaults.input.storage.base_dir, ), ) - file_type: InputFileType = Field( + file_type: str = Field( description="The input file type to use.", default=graphrag_config_defaults.input.file_type, ) diff --git a/packages/graphrag/graphrag/index/input/csv.py b/packages/graphrag/graphrag/index/input/csv.py index 810ffdd03c..39a2937e47 100644 --- a/packages/graphrag/graphrag/index/input/csv.py +++ b/packages/graphrag/graphrag/index/input/csv.py @@ -28,8 +28,8 @@ async def read_file(self, path: str) -> pd.DataFrame: - output - DataFrame with a row for each document in the file. """ buffer = BytesIO(await self._storage.get(path, as_bytes=True)) - data = pd.read_csv(buffer, encoding=self._config.encoding) - data = process_data_columns(data, self._config, path) + data = pd.read_csv(buffer, encoding=self._encoding) + data = process_data_columns(data, path, self._text_column, self._title_column) creation_date = await self._storage.get_creation_date(path) data["creation_date"] = data.apply(lambda _: creation_date, axis=1) return data diff --git a/packages/graphrag/graphrag/index/input/factory.py b/packages/graphrag/graphrag/index/input/factory.py deleted file mode 100644 index bc3b8112c8..0000000000 --- a/packages/graphrag/graphrag/index/input/factory.py +++ /dev/null @@ -1,26 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing 'InputReaderFactory' model.""" - -import logging - -from graphrag_common.factory import Factory - -from graphrag.config.enums import InputFileType -from graphrag.index.input.csv import CSVFileReader -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.json import JSONFileReader -from graphrag.index.input.text import TextFileReader - -logger = logging.getLogger(__name__) - - -class InputReaderFactory(Factory[InputReader]): - """Factory for creating Input Reader instances.""" - - -input_reader_factory = InputReaderFactory() -input_reader_factory.register(InputFileType.text, TextFileReader) -input_reader_factory.register(InputFileType.csv, CSVFileReader) -input_reader_factory.register(InputFileType.json, JSONFileReader) diff --git a/packages/graphrag/graphrag/index/input/input_reader.py b/packages/graphrag/graphrag/index/input/input_reader.py index 18dc713dfd..cf0f397bce 100644 --- a/packages/graphrag/graphrag/index/input/input_reader.py +++ b/packages/graphrag/graphrag/index/input/input_reader.py @@ -15,25 +15,39 @@ if TYPE_CHECKING: from graphrag_storage import Storage - from graphrag.config.models.input_config import InputConfig - logger = logging.getLogger(__name__) class InputReader(metaclass=ABCMeta): """Provide a cache interface for the pipeline.""" - def __init__(self, storage: Storage, config: InputConfig, **kwargs): + def __init__( + self, + storage: Storage, + file_type: str, + file_pattern: str, + encoding: str = "utf-8", + text_column: str | None = None, + title_column: str | None = None, + metadata: list[str] | None = None, + **kwargs, + ): self._storage = storage - self._config = config + self._file_type = file_type + self._file_pattern = file_pattern + self._encoding = encoding + self._text_column = text_column + self._title_column = title_column + self._metadata = metadata async def read_files(self) -> pd.DataFrame: """Load files from storage and apply a loader function based on file type. Process metadata on the results if needed.""" - files = list(self._storage.find(re.compile(self._config.file_pattern))) + files = list(self._storage.find(re.compile(self._file_pattern))) if len(files) == 0: - msg = f"No {self._config.file_type} files found in {self._config.storage.base_dir}" - raise ValueError(msg) + msg = f"No {self._file_type} files found in storage" # TODO: use a storage __str__ to define it per impl + logger.warning(msg) + files = [] files_loaded = [] @@ -47,19 +61,19 @@ async def read_files(self) -> pd.DataFrame: logger.info( "Found %d %s files, loading %d", len(files), - self._config.file_type, + self._file_type, len(files_loaded), ) result = pd.concat(files_loaded) total_files_log = ( - f"Total number of unfiltered {self._config.file_type} rows: {len(result)}" + f"Total number of unfiltered {self._file_type} rows: {len(result)}" ) logger.info(total_files_log) # Convert metadata columns to strings and collapse them into a JSON object - if self._config.metadata: - if all(col in result.columns for col in self._config.metadata): + if self._metadata: + if all(col in result.columns for col in self._metadata): # Collapse the metadata columns into a single JSON object column - result["metadata"] = result[self._config.metadata].apply( + result["metadata"] = result[self._metadata].apply( lambda row: row.to_dict(), axis=1 ) else: @@ -68,7 +82,7 @@ async def read_files(self) -> pd.DataFrame: ) raise ValueError(value_error_msg) - result[self._config.metadata] = result[self._config.metadata].astype(str) + result[self._metadata] = result[self._metadata].astype(str) return result diff --git a/packages/graphrag/graphrag/index/input/input_reader_factory.py b/packages/graphrag/graphrag/index/input/input_reader_factory.py new file mode 100644 index 0000000000..a548ad479e --- /dev/null +++ b/packages/graphrag/graphrag/index/input/input_reader_factory.py @@ -0,0 +1,82 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'InputReaderFactory' model.""" + +import logging +from collections.abc import Callable + +from graphrag_common.factory import Factory +from graphrag_common.factory.factory import ServiceScope +from graphrag_storage.storage import Storage + +from graphrag.config.enums import InputFileType +from graphrag.config.models.input_config import InputConfig +from graphrag.index.input.input_reader import InputReader + +logger = logging.getLogger(__name__) + + +class InputReaderFactory(Factory[InputReader]): + """Factory for creating Input Reader instances.""" + + +input_reader_factory = InputReaderFactory() + + +def register_input_reader( + input_reader_type: str, + input_reader_initializer: Callable[..., InputReader], + scope: ServiceScope = "transient", +) -> None: + """Register a custom input reader implementation. + + Args + ---- + - input_reader_type: str + The input reader id to register. + - input_reader_initializer: Callable[..., InputReader] + The input reader initializer to register. + """ + input_reader_factory.register(input_reader_type, input_reader_initializer, scope) + + +def create_input_reader(config: InputConfig, storage: Storage) -> InputReader: + """Create an input reader implementation based on the given configuration. + + Args + ---- + - config: InputConfig + The input reader configuration to use. + - storage: Storage | None + The storage implementation to use for reading the files. + + Returns + ------- + InputReader + The created input reader implementation. + """ + config_model = config.model_dump() + input_strategy = config.file_type + + if input_strategy not in input_reader_factory: + match input_strategy: + case InputFileType.csv: + from graphrag.index.input.csv import CSVFileReader + + register_input_reader(InputFileType.csv, CSVFileReader) + case InputFileType.text: + from graphrag.index.input.text import TextFileReader + + register_input_reader(InputFileType.text, TextFileReader) + case InputFileType.json: + from graphrag.index.input.json import JSONFileReader + + register_input_reader(InputFileType.json, JSONFileReader) + case _: + msg = f"InputConfig.file_type '{input_strategy}' is not registered in the InputReaderFactory. Registered types: {', '.join(input_reader_factory.keys())}." + raise ValueError(msg) + + config_model["storage"] = storage + + return input_reader_factory.create(input_strategy, init_args=config_model) diff --git a/packages/graphrag/graphrag/index/input/json.py b/packages/graphrag/graphrag/index/input/json.py index e9e1a7ab04..84bd01daf6 100644 --- a/packages/graphrag/graphrag/index/input/json.py +++ b/packages/graphrag/graphrag/index/input/json.py @@ -27,12 +27,12 @@ async def read_file(self, path: str) -> pd.DataFrame: ------- - output - DataFrame with a row for each document in the file. """ - text = await self._storage.get(path, encoding=self._config.encoding) + text = await self._storage.get(path, encoding=self._encoding) as_json = json.loads(text) # json file could just be a single object, or an array of objects rows = as_json if isinstance(as_json, list) else [as_json] data = pd.DataFrame(rows) - data = process_data_columns(data, self._config, path) + data = process_data_columns(data, path, self._text_column, self._title_column) creation_date = await self._storage.get_creation_date(path) data["creation_date"] = data.apply(lambda _: creation_date, axis=1) diff --git a/packages/graphrag/graphrag/index/input/text.py b/packages/graphrag/graphrag/index/input/text.py index f9e2d7779e..83193ce767 100644 --- a/packages/graphrag/graphrag/index/input/text.py +++ b/packages/graphrag/graphrag/index/input/text.py @@ -27,7 +27,7 @@ async def read_file(self, path: str) -> pd.DataFrame: ------- - output - DataFrame with a row for each document in the file. """ - text = await self._storage.get(path, encoding=self._config.encoding) + text = await self._storage.get(path, encoding=self._encoding) new_item = {"text": text} new_item["id"] = gen_sha512_hash(new_item, new_item.keys()) new_item["title"] = str(Path(path).name) diff --git a/packages/graphrag/graphrag/index/input/util.py b/packages/graphrag/graphrag/index/input/util.py index 2780909167..e663f07b22 100644 --- a/packages/graphrag/graphrag/index/input/util.py +++ b/packages/graphrag/graphrag/index/input/util.py @@ -7,40 +7,40 @@ import pandas as pd -from graphrag.config.models.input_config import InputConfig from graphrag.index.utils.hashing import gen_sha512_hash logger = logging.getLogger(__name__) def process_data_columns( - documents: pd.DataFrame, config: InputConfig, path: str + documents: pd.DataFrame, + path: str, + text_column: str | None, + title_column: str | None, ) -> pd.DataFrame: """Process configured data columns of a DataFrame.""" if "id" not in documents.columns: documents["id"] = documents.apply( lambda x: gen_sha512_hash(x, x.keys()), axis=1 ) - if config.text_column is not None and "text" not in documents.columns: - if config.text_column not in documents.columns: + if text_column is not None and "text" not in documents.columns: + if text_column not in documents.columns: logger.warning( "text_column %s not found in csv file %s", - config.text_column, + text_column, path, ) else: - documents["text"] = documents.apply(lambda x: x[config.text_column], axis=1) - if config.title_column is not None: - if config.title_column not in documents.columns: + documents["text"] = documents.apply(lambda x: x[text_column], axis=1) + if title_column is not None: + if title_column not in documents.columns: logger.warning( "title_column %s not found in csv file %s", - config.title_column, + title_column, path, ) else: - documents["title"] = documents.apply( - lambda x: x[config.title_column], axis=1 - ) + documents["title"] = documents.apply(lambda x: x[title_column], axis=1) else: documents["title"] = documents.apply(lambda _: path, axis=1) return documents diff --git a/packages/graphrag/graphrag/index/workflows/load_input_documents.py b/packages/graphrag/graphrag/index/workflows/load_input_documents.py index 228ca4d0c4..0a1b6fad14 100644 --- a/packages/graphrag/graphrag/index/workflows/load_input_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_input_documents.py @@ -8,8 +8,10 @@ import pandas as pd from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.factory import InputReaderFactory from graphrag.index.input.input_reader import InputReader +from graphrag.index.input.input_reader_factory import ( + create_input_reader, +) from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import write_table_to_storage @@ -22,10 +24,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Load and parse input documents into a standard format.""" - input_reader = InputReaderFactory().create( - config.input.file_type, - {"storage": context.input_storage, "config": config.input}, - ) + input_reader = create_input_reader(config.input, context.input_storage) output = await load_input_documents(input_reader) diff --git a/packages/graphrag/graphrag/index/workflows/load_update_documents.py b/packages/graphrag/graphrag/index/workflows/load_update_documents.py index e68471eae7..ab29b2a98a 100644 --- a/packages/graphrag/graphrag/index/workflows/load_update_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_update_documents.py @@ -9,8 +9,8 @@ from graphrag_storage import Storage from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.factory import InputReaderFactory from graphrag.index.input.input_reader import InputReader +from graphrag.index.input.input_reader_factory import create_input_reader from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.index.update.incremental_index import get_delta_docs @@ -24,10 +24,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Load and parse update-only input documents into a standard format.""" - input_reader = InputReaderFactory().create( - config.input.file_type, - {"storage": context.input_storage, "config": config.input}, - ) + input_reader = create_input_reader(config.input, context.input_storage) output = await load_update_documents( input_reader, context.previous_storage, diff --git a/packages/graphrag/graphrag/prompt_tune/loader/input.py b/packages/graphrag/graphrag/prompt_tune/loader/input.py index 556f1dd615..c17ea918e5 100644 --- a/packages/graphrag/graphrag/prompt_tune/loader/input.py +++ b/packages/graphrag/graphrag/prompt_tune/loader/input.py @@ -13,7 +13,7 @@ from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.factory import InputReaderFactory +from graphrag.index.input.input_reader_factory import create_input_reader from graphrag.index.operations.embed_text.run_embed_text import ( run_embed_text, ) @@ -64,10 +64,7 @@ async def load_docs_in_chunks( ) tokenizer = get_tokenizer(embeddings_llm_settings) input_storage = create_storage(config.input.storage) - input_reader = InputReaderFactory().create( - config.input.file_type, - {"storage": input_storage, "config": config.input}, - ) + input_reader = create_input_reader(config.input, input_storage) dataset = await input_reader.read_files() chunk_config = config.chunks chunks_df = create_base_text_units( diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index b0dc645e1b..938ce4ca3a 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -3,7 +3,9 @@ from graphrag.config.enums import InputFileType from graphrag.config.models.input_config import InputConfig -from graphrag.index.input.factory import InputReaderFactory +from graphrag.index.input.input_reader_factory import ( + create_input_reader, +) from graphrag_storage import StorageConfig, create_storage @@ -16,11 +18,8 @@ async def test_csv_loader_one_file(): file_pattern=".*\\.csv$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (2, 4) assert documents["title"].iloc[0] == "input.csv" @@ -35,11 +34,8 @@ async def test_csv_loader_one_file_with_title(): title_column="title", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (2, 4) assert documents["title"].iloc[0] == "Hello" @@ -55,12 +51,8 @@ async def test_csv_loader_one_file_with_metadata(): metadata=["title"], ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) - print(documents) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (2, 5) assert documents["metadata"][0] == {"title": "Hello"} @@ -74,9 +66,6 @@ async def test_csv_loader_multiple_files(): file_pattern=".*\\.csv$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (4, 4) diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index 3959096b1c..d5cb00445a 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -3,7 +3,7 @@ from graphrag.config.enums import InputFileType from graphrag.config.models.input_config import InputConfig -from graphrag.index.input.factory import InputReaderFactory +from graphrag.index.input.input_reader_factory import create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -16,11 +16,8 @@ async def test_json_loader_one_file_one_object(): file_pattern=".*\\.json$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (1, 4) assert documents["title"].iloc[0] == "input.json" @@ -34,11 +31,8 @@ async def test_json_loader_one_file_multiple_objects(): file_pattern=".*\\.json$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() print(documents) assert documents.shape == (3, 4) assert documents["title"].iloc[0] == "input.json" @@ -54,11 +48,8 @@ async def test_json_loader_one_file_with_title(): title_column="title", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (1, 4) assert documents["title"].iloc[0] == "Hello" @@ -74,11 +65,8 @@ async def test_json_loader_one_file_with_metadata(): metadata=["title"], ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (1, 5) assert documents["metadata"][0] == {"title": "Hello"} @@ -92,9 +80,6 @@ async def test_json_loader_multiple_files(): file_pattern=".*\\.json$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (4, 4) diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_txt_loader.py index 57ded82507..0395741de5 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_txt_loader.py @@ -3,7 +3,7 @@ from graphrag.config.enums import InputFileType from graphrag.config.models.input_config import InputConfig -from graphrag.index.input.factory import InputReaderFactory +from graphrag.index.input.input_reader_factory import create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -16,11 +16,8 @@ async def test_txt_loader_one_file(): file_pattern=".*\\.txt$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (1, 4) assert documents["title"].iloc[0] == "input.txt" @@ -35,11 +32,8 @@ async def test_txt_loader_one_file_with_metadata(): metadata=["title"], ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (1, 5) # unlike csv, we cannot set the title to anything other than the filename assert documents["metadata"][0] == {"title": "input.txt"} @@ -54,9 +48,6 @@ async def test_txt_loader_multiple_files(): file_pattern=".*\\.txt$", ) storage = create_storage(config.storage) - documents = ( - await InputReaderFactory() - .create(config.file_type, {"storage": storage, "config": config}) - .read_files() - ) + reader = create_input_reader(config, storage) + documents = await reader.read_files() assert documents.shape == (2, 4) diff --git a/tests/verbs/test_create_community_reports.py b/tests/verbs/test_create_community_reports.py index 561f54108b..d479120ce2 100644 --- a/tests/verbs/test_create_community_reports.py +++ b/tests/verbs/test_create_community_reports.py @@ -4,15 +4,14 @@ from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.data_model.schemas import COMMUNITY_REPORTS_FINAL_COLUMNS -from graphrag.index.workflows.create_community_reports import ( - run_workflow, -) -from graphrag.utils.storage import load_table_from_storage - from graphrag.index.operations.summarize_communities.community_reports_extractor import ( CommunityReportResponse, FindingModel, ) +from graphrag.index.workflows.create_community_reports import ( + run_workflow, +) +from graphrag.utils.storage import load_table_from_storage from .util import ( DEFAULT_MODEL_CONFIG, From efaaa1f1d019ff0a525391b104c60a574545ea96 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Mon, 5 Jan 2026 17:49:39 -0800 Subject: [PATCH 02/30] Move input config alongside input readers --- docs/examples_notebooks/api_overview.ipynb | 5 ++- docs/examples_notebooks/input_documents.ipynb | 5 ++- packages/graphrag/graphrag/cli/index.py | 6 ++-- packages/graphrag/graphrag/config/defaults.py | 4 +-- packages/graphrag/graphrag/config/enums.py | 34 +------------------ .../config/models/graph_rag_config.py | 4 +-- .../models => index/input}/input_config.py | 4 +-- .../graphrag/index/input/input_file_type.py | 21 ++++++++++++ .../index/input/input_reader_factory.py | 16 ++++----- tests/unit/config/utils.py | 2 +- tests/unit/indexing/input/test_csv_loader.py | 12 +++---- tests/unit/indexing/input/test_json_loader.py | 14 ++++---- tests/unit/indexing/input/test_txt_loader.py | 10 +++--- unified-search-app/app/app_logic.py | 3 +- 14 files changed, 64 insertions(+), 76 deletions(-) rename packages/graphrag/graphrag/{config/models => index/input}/input_config.py (93%) create mode 100644 packages/graphrag/graphrag/index/input/input_file_type.py diff --git a/docs/examples_notebooks/api_overview.ipynb b/docs/examples_notebooks/api_overview.ipynb index abcd7832fc..2a0c0f15de 100644 --- a/docs/examples_notebooks/api_overview.ipynb +++ b/docs/examples_notebooks/api_overview.ipynb @@ -28,11 +28,10 @@ "from pathlib import Path\n", "from pprint import pprint\n", "\n", + "import graphrag.api as api\n", "import pandas as pd\n", "from graphrag.config.load_config import load_config\n", - "from graphrag.index.typing.pipeline_run_result import PipelineRunResult\n", - "\n", - "import graphrag.api as api" + "from graphrag.index.typing.pipeline_run_result import PipelineRunResult" ] }, { diff --git a/docs/examples_notebooks/input_documents.ipynb b/docs/examples_notebooks/input_documents.ipynb index 505c0fe1f3..5657770eaf 100644 --- a/docs/examples_notebooks/input_documents.ipynb +++ b/docs/examples_notebooks/input_documents.ipynb @@ -30,11 +30,10 @@ "from pathlib import Path\n", "from pprint import pprint\n", "\n", + "import graphrag.api as api\n", "import pandas as pd\n", "from graphrag.config.load_config import load_config\n", - "from graphrag.index.typing.pipeline_run_result import PipelineRunResult\n", - "\n", - "import graphrag.api as api" + "from graphrag.index.typing.pipeline_run_result import PipelineRunResult" ] }, { diff --git a/packages/graphrag/graphrag/cli/index.py b/packages/graphrag/graphrag/cli/index.py index 60b724ea98..94a40cde48 100644 --- a/packages/graphrag/graphrag/cli/index.py +++ b/packages/graphrag/graphrag/cli/index.py @@ -9,9 +9,11 @@ import warnings from pathlib import Path +from graphrag_cache.cache_type import CacheType + import graphrag.api as api from graphrag.callbacks.console_workflow_callbacks import ConsoleWorkflowCallbacks -from graphrag.config.enums import CacheType, IndexingMethod +from graphrag.config.enums import IndexingMethod from graphrag.config.load_config import load_config from graphrag.index.validate_config import validate_config_names from graphrag.utils.cli import redact @@ -102,7 +104,7 @@ def _run_index( ) if not cache: - config.cache.type = CacheType.none + config.cache.type = CacheType.Noop if not skip_validation: validate_config_names(config) diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index e330c82449..2edf1f9044 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -15,12 +15,12 @@ AsyncType, AuthType, ChunkStrategyType, - InputFileType, ModelType, NounPhraseExtractorType, ReportingType, VectorStoreType, ) +from graphrag.index.input.input_file_type import InputFileType from graphrag.index.operations.build_noun_graph.np_extractors.stop_words import ( EN_STOP_WORDS, ) @@ -241,7 +241,7 @@ class InputDefaults: """Default values for input.""" storage: InputStorageDefaults = field(default_factory=InputStorageDefaults) - file_type: ClassVar[InputFileType] = InputFileType.text + file_type: ClassVar[InputFileType] = InputFileType.Text encoding: str = "utf-8" file_pattern: str = "" text_column: str = "text" diff --git a/packages/graphrag/graphrag/config/enums.py b/packages/graphrag/graphrag/config/enums.py index a5b6b74ab2..b615e5475b 100644 --- a/packages/graphrag/graphrag/config/enums.py +++ b/packages/graphrag/graphrag/config/enums.py @@ -5,7 +5,7 @@ from __future__ import annotations -from enum import Enum, StrEnum +from enum import Enum class CacheType(str, Enum): @@ -27,38 +27,6 @@ def __repr__(self): return f'"{self.value}"' -class InputFileType(StrEnum): - """The input file type for the pipeline.""" - - csv = "csv" - """The CSV input type.""" - text = "text" - """The text input type.""" - json = "json" - """The JSON input type.""" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - -class StorageType(str, Enum): - """The output type for the pipeline.""" - - file = "file" - """The file output type.""" - memory = "memory" - """The memory output type.""" - blob = "blob" - """The blob output type.""" - cosmosdb = "cosmosdb" - """The cosmosdb output type""" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - class VectorStoreType(str, Enum): """The supported vector store types.""" diff --git a/packages/graphrag/graphrag/config/models/graph_rag_config.py b/packages/graphrag/graphrag/config/models/graph_rag_config.py index 9a1ac89b17..10a2f41d5c 100644 --- a/packages/graphrag/graphrag/config/models/graph_rag_config.py +++ b/packages/graphrag/graphrag/config/models/graph_rag_config.py @@ -24,7 +24,6 @@ from graphrag.config.models.extract_graph_config import ExtractGraphConfig from graphrag.config.models.extract_graph_nlp_config import ExtractGraphNLPConfig from graphrag.config.models.global_search_config import GlobalSearchConfig -from graphrag.config.models.input_config import InputConfig from graphrag.config.models.language_model_config import LanguageModelConfig from graphrag.config.models.local_search_config import LocalSearchConfig from graphrag.config.models.prune_graph_config import PruneGraphConfig @@ -34,6 +33,7 @@ SummarizeDescriptionsConfig, ) from graphrag.config.models.vector_store_config import VectorStoreConfig +from graphrag.index.input.input_config import InputConfig from graphrag.language_model.providers.litellm.services.rate_limiter.rate_limiter_factory import ( RateLimiterFactory, ) @@ -110,7 +110,7 @@ def _validate_rate_limiter_services(self) -> None: def _validate_input_pattern(self) -> None: """Validate the input file pattern based on the specified type.""" if len(self.input.file_pattern) == 0: - if self.input.file_type == defs.InputFileType.text: + if self.input.file_type == defs.InputFileType.Text: self.input.file_pattern = ".*\\.txt$" else: self.input.file_pattern = f".*\\.{self.input.file_type}$" diff --git a/packages/graphrag/graphrag/config/models/input_config.py b/packages/graphrag/graphrag/index/input/input_config.py similarity index 93% rename from packages/graphrag/graphrag/config/models/input_config.py rename to packages/graphrag/graphrag/index/input/input_config.py index e3ebb9cd4c..7a86075fc9 100644 --- a/packages/graphrag/graphrag/config/models/input_config.py +++ b/packages/graphrag/graphrag/index/input/input_config.py @@ -14,7 +14,7 @@ class InputConfig(BaseModel): """The default configuration section for Input.""" model_config = ConfigDict(extra="allow") - """Allow extra fields to support custom cache implementations.""" + """Allow extra fields to support custom reader implementations.""" storage: StorageConfig = Field( description="The storage configuration to use for reading input documents.", @@ -34,7 +34,7 @@ class InputConfig(BaseModel): description="The input file pattern to use.", default=graphrag_config_defaults.input.file_pattern, ) - text_column: str = Field( + text_column: str | None = Field( description="The input text column to use.", default=graphrag_config_defaults.input.text_column, ) diff --git a/packages/graphrag/graphrag/index/input/input_file_type.py b/packages/graphrag/graphrag/index/input/input_file_type.py new file mode 100644 index 0000000000..3996eee36e --- /dev/null +++ b/packages/graphrag/graphrag/index/input/input_file_type.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing input file type enum.""" + +from enum import StrEnum + + +class InputFileType(StrEnum): + """The input file type for the pipeline.""" + + Csv = "csv" + """The CSV input type.""" + Text = "text" + """The text input type.""" + Json = "json" + """The JSON input type.""" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' diff --git a/packages/graphrag/graphrag/index/input/input_reader_factory.py b/packages/graphrag/graphrag/index/input/input_reader_factory.py index a548ad479e..e0b391d7eb 100644 --- a/packages/graphrag/graphrag/index/input/input_reader_factory.py +++ b/packages/graphrag/graphrag/index/input/input_reader_factory.py @@ -10,8 +10,8 @@ from graphrag_common.factory.factory import ServiceScope from graphrag_storage.storage import Storage -from graphrag.config.enums import InputFileType -from graphrag.config.models.input_config import InputConfig +from graphrag.index.input.input_config import InputConfig +from graphrag.index.input.input_file_type import InputFileType from graphrag.index.input.input_reader import InputReader logger = logging.getLogger(__name__) @@ -61,18 +61,18 @@ def create_input_reader(config: InputConfig, storage: Storage) -> InputReader: if input_strategy not in input_reader_factory: match input_strategy: - case InputFileType.csv: + case InputFileType.Csv: from graphrag.index.input.csv import CSVFileReader - register_input_reader(InputFileType.csv, CSVFileReader) - case InputFileType.text: + register_input_reader(InputFileType.Csv, CSVFileReader) + case InputFileType.Text: from graphrag.index.input.text import TextFileReader - register_input_reader(InputFileType.text, TextFileReader) - case InputFileType.json: + register_input_reader(InputFileType.Text, TextFileReader) + case InputFileType.Json: from graphrag.index.input.json import JSONFileReader - register_input_reader(InputFileType.json, JSONFileReader) + register_input_reader(InputFileType.Json, JSONFileReader) case _: msg = f"InputConfig.file_type '{input_strategy}' is not registered in the InputReaderFactory. Registered types: {', '.join(input_reader_factory.keys())}." raise ValueError(msg) diff --git a/tests/unit/config/utils.py b/tests/unit/config/utils.py index 1315907e59..3f50527541 100644 --- a/tests/unit/config/utils.py +++ b/tests/unit/config/utils.py @@ -18,7 +18,6 @@ ) from graphrag.config.models.global_search_config import GlobalSearchConfig from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.config.models.input_config import InputConfig from graphrag.config.models.language_model_config import LanguageModelConfig from graphrag.config.models.local_search_config import LocalSearchConfig from graphrag.config.models.prune_graph_config import PruneGraphConfig @@ -28,6 +27,7 @@ SummarizeDescriptionsConfig, ) from graphrag.config.models.vector_store_config import VectorStoreConfig +from graphrag.index.input.input_config import InputConfig from graphrag_cache import CacheConfig from graphrag_storage import StorageConfig from pydantic import BaseModel diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index 938ce4ca3a..f4c1c3cf94 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -1,8 +1,8 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.config.enums import InputFileType -from graphrag.config.models.input_config import InputConfig +from graphrag.index.input.input_config import InputConfig +from graphrag.index.input.input_file_type import InputFileType from graphrag.index.input.input_reader_factory import ( create_input_reader, ) @@ -14,7 +14,7 @@ async def test_csv_loader_one_file(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-csv", ), - file_type=InputFileType.csv, + file_type=InputFileType.Csv, file_pattern=".*\\.csv$", ) storage = create_storage(config.storage) @@ -29,7 +29,7 @@ async def test_csv_loader_one_file_with_title(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-csv", ), - file_type=InputFileType.csv, + file_type=InputFileType.Csv, file_pattern=".*\\.csv$", title_column="title", ) @@ -45,7 +45,7 @@ async def test_csv_loader_one_file_with_metadata(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-csv", ), - file_type=InputFileType.csv, + file_type=InputFileType.Csv, file_pattern=".*\\.csv$", title_column="title", metadata=["title"], @@ -62,7 +62,7 @@ async def test_csv_loader_multiple_files(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/multiple-csvs", ), - file_type=InputFileType.csv, + file_type=InputFileType.Csv, file_pattern=".*\\.csv$", ) storage = create_storage(config.storage) diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index d5cb00445a..d604ca9cc8 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -1,8 +1,8 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.config.enums import InputFileType -from graphrag.config.models.input_config import InputConfig +from graphrag.index.input.input_config import InputConfig +from graphrag.index.input.input_file_type import InputFileType from graphrag.index.input.input_reader_factory import create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -12,7 +12,7 @@ async def test_json_loader_one_file_one_object(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-one-object", ), - file_type=InputFileType.json, + file_type=InputFileType.Json, file_pattern=".*\\.json$", ) storage = create_storage(config.storage) @@ -27,7 +27,7 @@ async def test_json_loader_one_file_multiple_objects(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-multiple-objects", ), - file_type=InputFileType.json, + file_type=InputFileType.Json, file_pattern=".*\\.json$", ) storage = create_storage(config.storage) @@ -43,7 +43,7 @@ async def test_json_loader_one_file_with_title(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-one-object", ), - file_type=InputFileType.json, + file_type=InputFileType.Json, file_pattern=".*\\.json$", title_column="title", ) @@ -59,7 +59,7 @@ async def test_json_loader_one_file_with_metadata(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-one-object", ), - file_type=InputFileType.json, + file_type=InputFileType.Json, file_pattern=".*\\.json$", title_column="title", metadata=["title"], @@ -76,7 +76,7 @@ async def test_json_loader_multiple_files(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/multiple-jsons", ), - file_type=InputFileType.json, + file_type=InputFileType.Json, file_pattern=".*\\.json$", ) storage = create_storage(config.storage) diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_txt_loader.py index 0395741de5..67d0764656 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_txt_loader.py @@ -1,8 +1,8 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.config.enums import InputFileType -from graphrag.config.models.input_config import InputConfig +from graphrag.index.input.input_config import InputConfig +from graphrag.index.input.input_file_type import InputFileType from graphrag.index.input.input_reader_factory import create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -12,7 +12,7 @@ async def test_txt_loader_one_file(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-txt", ), - file_type=InputFileType.text, + file_type=InputFileType.Text, file_pattern=".*\\.txt$", ) storage = create_storage(config.storage) @@ -27,7 +27,7 @@ async def test_txt_loader_one_file_with_metadata(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-txt", ), - file_type=InputFileType.text, + file_type=InputFileType.Text, file_pattern=".*\\.txt$", metadata=["title"], ) @@ -44,7 +44,7 @@ async def test_txt_loader_multiple_files(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/multiple-txts", ), - file_type=InputFileType.text, + file_type=InputFileType.Text, file_pattern=".*\\.txt$", ) storage = create_storage(config.storage) diff --git a/unified-search-app/app/app_logic.py b/unified-search-app/app/app_logic.py index a573b9daa5..dc64e0e77c 100644 --- a/unified-search-app/app/app_logic.py +++ b/unified-search-app/app/app_logic.py @@ -7,6 +7,7 @@ import logging from typing import TYPE_CHECKING +import graphrag.api as api import streamlit as st from knowledge_loader.data_sources.loader import ( create_datasource, @@ -17,8 +18,6 @@ from state.session_variables import SessionVariables from ui.search import display_search_result -import graphrag.api as api - if TYPE_CHECKING: import pandas as pd From 2b893840c0f0c144f2287c93fb07ee08520c8400 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 10:11:38 -0800 Subject: [PATCH 03/30] Move file pattern logic into InputReader --- packages/graphrag/graphrag/config/defaults.py | 2 +- .../graphrag/config/models/graph_rag_config.py | 9 --------- .../graphrag/graphrag/index/input/input_config.py | 2 +- .../graphrag/graphrag/index/input/input_reader.py | 13 +++++++++++-- 4 files changed, 13 insertions(+), 13 deletions(-) diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index 2edf1f9044..8aa22642c3 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -243,7 +243,7 @@ class InputDefaults: storage: InputStorageDefaults = field(default_factory=InputStorageDefaults) file_type: ClassVar[InputFileType] = InputFileType.Text encoding: str = "utf-8" - file_pattern: str = "" + file_pattern: None = None text_column: str = "text" title_column: None = None metadata: None = None diff --git a/packages/graphrag/graphrag/config/models/graph_rag_config.py b/packages/graphrag/graphrag/config/models/graph_rag_config.py index 10a2f41d5c..6656d3abe1 100644 --- a/packages/graphrag/graphrag/config/models/graph_rag_config.py +++ b/packages/graphrag/graphrag/config/models/graph_rag_config.py @@ -107,14 +107,6 @@ def _validate_rate_limiter_services(self) -> None: ) """The input configuration.""" - def _validate_input_pattern(self) -> None: - """Validate the input file pattern based on the specified type.""" - if len(self.input.file_pattern) == 0: - if self.input.file_type == defs.InputFileType.Text: - self.input.file_pattern = ".*\\.txt$" - else: - self.input.file_pattern = f".*\\.{self.input.file_type}$" - def _validate_input_base_dir(self) -> None: """Validate the input base directory.""" if self.input.storage.type == StorageType.File: @@ -312,7 +304,6 @@ def get_language_model_config(self, model_id: str) -> LanguageModelConfig: @model_validator(mode="after") def _validate_model(self): """Validate the model configuration.""" - self._validate_input_pattern() self._validate_input_base_dir() self._validate_reporting_base_dir() self._validate_output_base_dir() diff --git a/packages/graphrag/graphrag/index/input/input_config.py b/packages/graphrag/graphrag/index/input/input_config.py index 7a86075fc9..5e8fb3d9b2 100644 --- a/packages/graphrag/graphrag/index/input/input_config.py +++ b/packages/graphrag/graphrag/index/input/input_config.py @@ -30,7 +30,7 @@ class InputConfig(BaseModel): description="The input file encoding to use.", default=defs.graphrag_config_defaults.input.encoding, ) - file_pattern: str = Field( + file_pattern: str | None = Field( description="The input file pattern to use.", default=graphrag_config_defaults.input.file_pattern, ) diff --git a/packages/graphrag/graphrag/index/input/input_reader.py b/packages/graphrag/graphrag/index/input/input_reader.py index cf0f397bce..5f4ecde4ba 100644 --- a/packages/graphrag/graphrag/index/input/input_reader.py +++ b/packages/graphrag/graphrag/index/input/input_reader.py @@ -25,8 +25,8 @@ def __init__( self, storage: Storage, file_type: str, - file_pattern: str, encoding: str = "utf-8", + file_pattern: str | None = None, text_column: str | None = None, title_column: str | None = None, metadata: list[str] | None = None, @@ -34,12 +34,21 @@ def __init__( ): self._storage = storage self._file_type = file_type - self._file_pattern = file_pattern self._encoding = encoding self._text_column = text_column self._title_column = title_column self._metadata = metadata + # built-in readers set a default pattern if none is provided + # this is usually just the file type itself, e.g., the file extension + pattern = ( + file_pattern if file_pattern is not None else f".*\\.{self._file_type}$" + ) + if file_pattern is None and self._file_type == "text": + pattern = ".*\\.txt$" + + self._file_pattern = pattern + async def read_files(self) -> pd.DataFrame: """Load files from storage and apply a loader function based on file type. Process metadata on the results if needed.""" files = list(self._storage.find(re.compile(self._file_pattern))) From c73263d02ca6e94777894ce060b871fe0d33ce09 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 10:13:36 -0800 Subject: [PATCH 04/30] Set encoding default --- packages/graphrag/graphrag/config/defaults.py | 2 +- packages/graphrag/graphrag/index/input/input_config.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index 8aa22642c3..336af0dad1 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -242,7 +242,7 @@ class InputDefaults: storage: InputStorageDefaults = field(default_factory=InputStorageDefaults) file_type: ClassVar[InputFileType] = InputFileType.Text - encoding: str = "utf-8" + encoding: str | None = None file_pattern: None = None text_column: str = "text" title_column: None = None diff --git a/packages/graphrag/graphrag/index/input/input_config.py b/packages/graphrag/graphrag/index/input/input_config.py index 5e8fb3d9b2..51b8890a9d 100644 --- a/packages/graphrag/graphrag/index/input/input_config.py +++ b/packages/graphrag/graphrag/index/input/input_config.py @@ -26,7 +26,7 @@ class InputConfig(BaseModel): description="The input file type to use.", default=graphrag_config_defaults.input.file_type, ) - encoding: str = Field( + encoding: str | None = Field( description="The input file encoding to use.", default=defs.graphrag_config_defaults.input.encoding, ) From b2656128284226a563d339e541a4880c7c0a02d4 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 10:51:37 -0800 Subject: [PATCH 05/30] Clean up optional column configs --- packages/graphrag/graphrag/config/defaults.py | 3 +- packages/graphrag/graphrag/index/input/csv.py | 4 ++- .../graphrag/index/input/input_config.py | 10 ++++-- .../graphrag/index/input/input_reader.py | 7 ++-- .../graphrag/graphrag/index/input/json.py | 4 ++- .../graphrag/graphrag/index/input/util.py | 34 ++++++++----------- 6 files changed, 33 insertions(+), 29 deletions(-) diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index 336af0dad1..a5a4828440 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -244,8 +244,9 @@ class InputDefaults: file_type: ClassVar[InputFileType] = InputFileType.Text encoding: str | None = None file_pattern: None = None - text_column: str = "text" + id_column: None = None title_column: None = None + text_column: None = None metadata: None = None diff --git a/packages/graphrag/graphrag/index/input/csv.py b/packages/graphrag/graphrag/index/input/csv.py index 39a2937e47..f4403faa30 100644 --- a/packages/graphrag/graphrag/index/input/csv.py +++ b/packages/graphrag/graphrag/index/input/csv.py @@ -29,7 +29,9 @@ async def read_file(self, path: str) -> pd.DataFrame: """ buffer = BytesIO(await self._storage.get(path, as_bytes=True)) data = pd.read_csv(buffer, encoding=self._encoding) - data = process_data_columns(data, path, self._text_column, self._title_column) + data = process_data_columns( + data, path, self._id_column, self._title_column, self._text_column + ) creation_date = await self._storage.get_creation_date(path) data["creation_date"] = data.apply(lambda _: creation_date, axis=1) return data diff --git a/packages/graphrag/graphrag/index/input/input_config.py b/packages/graphrag/graphrag/index/input/input_config.py index 51b8890a9d..72b26ccb46 100644 --- a/packages/graphrag/graphrag/index/input/input_config.py +++ b/packages/graphrag/graphrag/index/input/input_config.py @@ -34,14 +34,18 @@ class InputConfig(BaseModel): description="The input file pattern to use.", default=graphrag_config_defaults.input.file_pattern, ) - text_column: str | None = Field( - description="The input text column to use.", - default=graphrag_config_defaults.input.text_column, + id_column: str | None = Field( + description="The input ID column to use.", + default=graphrag_config_defaults.input.id_column, ) title_column: str | None = Field( description="The input title column to use.", default=graphrag_config_defaults.input.title_column, ) + text_column: str | None = Field( + description="The input text column to use.", + default=graphrag_config_defaults.input.text_column, + ) metadata: list[str] | None = Field( description="The document attribute columns to use.", default=graphrag_config_defaults.input.metadata, diff --git a/packages/graphrag/graphrag/index/input/input_reader.py b/packages/graphrag/graphrag/index/input/input_reader.py index 5f4ecde4ba..7a70bc25a1 100644 --- a/packages/graphrag/graphrag/index/input/input_reader.py +++ b/packages/graphrag/graphrag/index/input/input_reader.py @@ -27,16 +27,18 @@ def __init__( file_type: str, encoding: str = "utf-8", file_pattern: str | None = None, - text_column: str | None = None, + id_column: str | None = None, title_column: str | None = None, + text_column: str = "text", metadata: list[str] | None = None, **kwargs, ): self._storage = storage self._file_type = file_type self._encoding = encoding - self._text_column = text_column + self._id_column = id_column self._title_column = title_column + self._text_column = text_column self._metadata = metadata # built-in readers set a default pattern if none is provided @@ -52,7 +54,6 @@ def __init__( async def read_files(self) -> pd.DataFrame: """Load files from storage and apply a loader function based on file type. Process metadata on the results if needed.""" files = list(self._storage.find(re.compile(self._file_pattern))) - if len(files) == 0: msg = f"No {self._file_type} files found in storage" # TODO: use a storage __str__ to define it per impl logger.warning(msg) diff --git a/packages/graphrag/graphrag/index/input/json.py b/packages/graphrag/graphrag/index/input/json.py index 84bd01daf6..ebabcba627 100644 --- a/packages/graphrag/graphrag/index/input/json.py +++ b/packages/graphrag/graphrag/index/input/json.py @@ -32,7 +32,9 @@ async def read_file(self, path: str) -> pd.DataFrame: # json file could just be a single object, or an array of objects rows = as_json if isinstance(as_json, list) else [as_json] data = pd.DataFrame(rows) - data = process_data_columns(data, path, self._text_column, self._title_column) + data = process_data_columns( + data, path, self._id_column, self._title_column, self._text_column + ) creation_date = await self._storage.get_creation_date(path) data["creation_date"] = data.apply(lambda _: creation_date, axis=1) diff --git a/packages/graphrag/graphrag/index/input/util.py b/packages/graphrag/graphrag/index/input/util.py index e663f07b22..868ce10e72 100644 --- a/packages/graphrag/graphrag/index/input/util.py +++ b/packages/graphrag/graphrag/index/input/util.py @@ -15,32 +15,26 @@ def process_data_columns( documents: pd.DataFrame, path: str, - text_column: str | None, - title_column: str | None, + id_column: str | None = None, + title_column: str | None = None, + text_column: str = "text", ) -> pd.DataFrame: """Process configured data columns of a DataFrame.""" - if "id" not in documents.columns: + # id is optional - generate from harvest from df or hash from text + if id_column is not None: + documents["id"] = documents.apply(lambda x: x[id_column], axis=1) + else: documents["id"] = documents.apply( lambda x: gen_sha512_hash(x, x.keys()), axis=1 ) - if text_column is not None and "text" not in documents.columns: - if text_column not in documents.columns: - logger.warning( - "text_column %s not found in csv file %s", - text_column, - path, - ) - else: - documents["text"] = documents.apply(lambda x: x[text_column], axis=1) + + # title is optional - harvest from df or use filename if title_column is not None: - if title_column not in documents.columns: - logger.warning( - "title_column %s not found in csv file %s", - title_column, - path, - ) - else: - documents["title"] = documents.apply(lambda x: x[title_column], axis=1) + documents["title"] = documents.apply(lambda x: x[title_column], axis=1) else: documents["title"] = documents.apply(lambda _: path, axis=1) + + # text column is required - harvest from df + documents["text"] = documents.apply(lambda x: x[text_column], axis=1) + return documents From f066080ef0291145f0648925f014129ce7ac831b Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 13:03:04 -0800 Subject: [PATCH 06/30] Combine structured data extraction --- packages/graphrag/graphrag/index/input/csv.py | 12 +--- .../graphrag/graphrag/index/input/json.py | 13 +--- .../index/input/structured_file_reader.py | 59 +++++++++++++++++++ 3 files changed, 65 insertions(+), 19 deletions(-) create mode 100644 packages/graphrag/graphrag/index/input/structured_file_reader.py diff --git a/packages/graphrag/graphrag/index/input/csv.py b/packages/graphrag/graphrag/index/input/csv.py index f4403faa30..77501f81e0 100644 --- a/packages/graphrag/graphrag/index/input/csv.py +++ b/packages/graphrag/graphrag/index/input/csv.py @@ -8,13 +8,12 @@ import pandas as pd -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.util import process_data_columns +from graphrag.index.input.structured_file_reader import StructuredFileReader logger = logging.getLogger(__name__) -class CSVFileReader(InputReader): +class CSVFileReader(StructuredFileReader): """Reader implementation for csv files.""" async def read_file(self, path: str) -> pd.DataFrame: @@ -29,9 +28,4 @@ async def read_file(self, path: str) -> pd.DataFrame: """ buffer = BytesIO(await self._storage.get(path, as_bytes=True)) data = pd.read_csv(buffer, encoding=self._encoding) - data = process_data_columns( - data, path, self._id_column, self._title_column, self._text_column - ) - creation_date = await self._storage.get_creation_date(path) - data["creation_date"] = data.apply(lambda _: creation_date, axis=1) - return data + return await self.process_data_columns(data, path) diff --git a/packages/graphrag/graphrag/index/input/json.py b/packages/graphrag/graphrag/index/input/json.py index ebabcba627..564d6d9ed9 100644 --- a/packages/graphrag/graphrag/index/input/json.py +++ b/packages/graphrag/graphrag/index/input/json.py @@ -8,13 +8,12 @@ import pandas as pd -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.util import process_data_columns +from graphrag.index.input.structured_file_reader import StructuredFileReader logger = logging.getLogger(__name__) -class JSONFileReader(InputReader): +class JSONFileReader(StructuredFileReader): """Reader implementation for json files.""" async def read_file(self, path: str) -> pd.DataFrame: @@ -32,10 +31,4 @@ async def read_file(self, path: str) -> pd.DataFrame: # json file could just be a single object, or an array of objects rows = as_json if isinstance(as_json, list) else [as_json] data = pd.DataFrame(rows) - data = process_data_columns( - data, path, self._id_column, self._title_column, self._text_column - ) - creation_date = await self._storage.get_creation_date(path) - data["creation_date"] = data.apply(lambda _: creation_date, axis=1) - - return data + return await self.process_data_columns(data, path) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py new file mode 100644 index 0000000000..e8c80020a4 --- /dev/null +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -0,0 +1,59 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'CSVFileReader' model.""" + +import logging + +import pandas as pd + +from graphrag.index.input.input_reader import InputReader +from graphrag.index.utils.hashing import gen_sha512_hash + +logger = logging.getLogger(__name__) + + +class StructuredFileReader(InputReader): + """Base reader implementation for structured files such as csv and json.""" + + def __init__( + self, + id_column: str | None = None, + title_column: str | None = None, + text_column: str = "text", + **kwargs, + ): + super().__init__(**kwargs) + self._id_column = id_column + self._title_column = title_column + self._text_column = text_column + + async def process_data_columns( + self, + documents: pd.DataFrame, + path: str, + ) -> pd.DataFrame: + """Process configured data columns of a DataFrame.""" + # id is optional - generate from harvest from df or hash from text + if self._id_column is not None: + documents["id"] = documents.apply(lambda x: x[self._id_column], axis=1) + else: + documents["id"] = documents.apply( + lambda x: gen_sha512_hash(x, x.keys()), axis=1 + ) + + # title is optional - harvest from df or use filename + if self._title_column is not None: + documents["title"] = documents.apply( + lambda x: x[self._title_column], axis=1 + ) + else: + documents["title"] = documents.apply(lambda _: path, axis=1) + + # text column is required - harvest from df + documents["text"] = documents.apply(lambda x: x[self._text_column], axis=1) + + creation_date = await self._storage.get_creation_date(path) + documents["creation_date"] = documents.apply(lambda _: creation_date, axis=1) + + return documents From 2b83d661f9a60627186d7196df96c2145b3f7f55 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 14:18:57 -0800 Subject: [PATCH 07/30] Remove pandas from input loading --- packages/graphrag/graphrag/index/input/csv.py | 14 ++--- .../graphrag/index/input/input_reader.py | 51 +++++++++---------- .../graphrag/graphrag/index/input/json.py | 8 ++- .../index/input/structured_file_reader.py | 49 +++++++++--------- .../graphrag/graphrag/index/input/text.py | 17 ++++--- .../graphrag/index/input/text_document.py | 23 +++++++++ .../index/workflows/load_input_documents.py | 2 +- .../index/workflows/load_update_documents.py | 2 +- .../graphrag/prompt_tune/loader/input.py | 2 +- tests/unit/indexing/input/test_csv_loader.py | 15 +++--- tests/unit/indexing/input/test_json_loader.py | 20 ++++---- tests/unit/indexing/input/test_txt_loader.py | 11 ++-- 12 files changed, 117 insertions(+), 97 deletions(-) create mode 100644 packages/graphrag/graphrag/index/input/text_document.py diff --git a/packages/graphrag/graphrag/index/input/csv.py b/packages/graphrag/graphrag/index/input/csv.py index 77501f81e0..c70e19e293 100644 --- a/packages/graphrag/graphrag/index/input/csv.py +++ b/packages/graphrag/graphrag/index/input/csv.py @@ -3,12 +3,11 @@ """A module containing 'CSVFileReader' model.""" +import csv import logging -from io import BytesIO - -import pandas as pd from graphrag.index.input.structured_file_reader import StructuredFileReader +from graphrag.index.input.text_document import TextDocument logger = logging.getLogger(__name__) @@ -16,7 +15,7 @@ class CSVFileReader(StructuredFileReader): """Reader implementation for csv files.""" - async def read_file(self, path: str) -> pd.DataFrame: + async def read_file(self, path: str) -> list[TextDocument]: """Read a csv file into a DataFrame of documents. Args: @@ -26,6 +25,7 @@ async def read_file(self, path: str) -> pd.DataFrame: ------- - output - DataFrame with a row for each document in the file. """ - buffer = BytesIO(await self._storage.get(path, as_bytes=True)) - data = pd.read_csv(buffer, encoding=self._encoding) - return await self.process_data_columns(data, path) + file = await self._storage.get(path) + + reader = csv.DictReader(file.splitlines()) + return await self.process_data_columns(list(reader), path) diff --git a/packages/graphrag/graphrag/index/input/input_reader.py b/packages/graphrag/graphrag/index/input/input_reader.py index 7a70bc25a1..1b7dcf97fd 100644 --- a/packages/graphrag/graphrag/index/input/input_reader.py +++ b/packages/graphrag/graphrag/index/input/input_reader.py @@ -8,13 +8,14 @@ import logging import re from abc import ABCMeta, abstractmethod +from dataclasses import asdict from typing import TYPE_CHECKING -import pandas as pd - if TYPE_CHECKING: from graphrag_storage import Storage + from graphrag.index.input.text_document import TextDocument + logger = logging.getLogger(__name__) @@ -51,7 +52,7 @@ def __init__( self._file_pattern = pattern - async def read_files(self) -> pd.DataFrame: + async def read_files(self) -> list[TextDocument]: """Load files from storage and apply a loader function based on file type. Process metadata on the results if needed.""" files = list(self._storage.find(re.compile(self._file_pattern))) if len(files) == 0: @@ -59,11 +60,22 @@ async def read_files(self) -> pd.DataFrame: logger.warning(msg) files = [] - files_loaded = [] + documents: list[TextDocument] = [] for file in files: try: - files_loaded.append(await self.read_file(file)) + file_documents = await self.read_file(file) + + if self._metadata: + for document in file_documents: + # Collapse the metadata columns into a single JSON object column + document.metadata = { + k: v + for k, v in asdict(document).items() + if k in self._metadata + } + + documents.extend(file_documents) except Exception as e: # noqa: BLE001 (catching Exception is fine here) logger.warning("Warning! Error loading file %s. Skipping...", file) logger.warning("Error: %s", e) @@ -72,38 +84,23 @@ async def read_files(self) -> pd.DataFrame: "Found %d %s files, loading %d", len(files), self._file_type, - len(files_loaded), + len(documents), ) - result = pd.concat(files_loaded) total_files_log = ( - f"Total number of unfiltered {self._file_type} rows: {len(result)}" + f"Total number of unfiltered {self._file_type} rows: {len(documents)}" ) logger.info(total_files_log) - # Convert metadata columns to strings and collapse them into a JSON object - if self._metadata: - if all(col in result.columns for col in self._metadata): - # Collapse the metadata columns into a single JSON object column - result["metadata"] = result[self._metadata].apply( - lambda row: row.to_dict(), axis=1 - ) - else: - value_error_msg = ( - "One or more metadata columns not found in the DataFrame." - ) - raise ValueError(value_error_msg) - - result[self._metadata] = result[self._metadata].astype(str) - - return result + + return documents @abstractmethod - async def read_file(self, path: str) -> pd.DataFrame: - """Read a file into a DataFrame of documents. + async def read_file(self, path: str) -> list[TextDocument]: + """Read a file into a list of documents. Args: - path - The path to read the file from. Returns ------- - - output - DataFrame with a row for each document in the file. + - output - List with an entry for each document in the file. """ diff --git a/packages/graphrag/graphrag/index/input/json.py b/packages/graphrag/graphrag/index/input/json.py index 564d6d9ed9..6f7d68844f 100644 --- a/packages/graphrag/graphrag/index/input/json.py +++ b/packages/graphrag/graphrag/index/input/json.py @@ -6,9 +6,8 @@ import json import logging -import pandas as pd - from graphrag.index.input.structured_file_reader import StructuredFileReader +from graphrag.index.input.text_document import TextDocument logger = logging.getLogger(__name__) @@ -16,7 +15,7 @@ class JSONFileReader(StructuredFileReader): """Reader implementation for json files.""" - async def read_file(self, path: str) -> pd.DataFrame: + async def read_file(self, path: str) -> list[TextDocument]: """Read a JSON file into a DataFrame of documents. Args: @@ -30,5 +29,4 @@ async def read_file(self, path: str) -> pd.DataFrame: as_json = json.loads(text) # json file could just be a single object, or an array of objects rows = as_json if isinstance(as_json, list) else [as_json] - data = pd.DataFrame(rows) - return await self.process_data_columns(data, path) + return await self.process_data_columns(rows, path) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py index e8c80020a4..6cb3cfa765 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -4,10 +4,10 @@ """A module containing 'CSVFileReader' model.""" import logging - -import pandas as pd +from typing import Any from graphrag.index.input.input_reader import InputReader +from graphrag.index.input.text_document import TextDocument from graphrag.index.utils.hashing import gen_sha512_hash logger = logging.getLogger(__name__) @@ -30,30 +30,29 @@ def __init__( async def process_data_columns( self, - documents: pd.DataFrame, + rows: list[dict[str, Any]], path: str, - ) -> pd.DataFrame: - """Process configured data columns of a DataFrame.""" - # id is optional - generate from harvest from df or hash from text - if self._id_column is not None: - documents["id"] = documents.apply(lambda x: x[self._id_column], axis=1) - else: - documents["id"] = documents.apply( - lambda x: gen_sha512_hash(x, x.keys()), axis=1 + ) -> list[TextDocument]: + """Process configured data columns from a list of loaded dicts.""" + documents = [] + for row in rows: + # text column is required - harvest from dict + text = row[self._text_column] + # id is optional - generate from harvest from dict or hash from text + id = ( + row[self._id_column] + if self._id_column + else gen_sha512_hash({"text": text}, ["text"]) ) - - # title is optional - harvest from df or use filename - if self._title_column is not None: - documents["title"] = documents.apply( - lambda x: x[self._title_column], axis=1 + # title is optional - harvest from dict or use filename + title = row[self._title_column] if self._title_column else str(path) + creation_date = await self._storage.get_creation_date(path) + documents.append( + TextDocument( + id=id, + title=title, + text=text, + creation_date=creation_date, + ) ) - else: - documents["title"] = documents.apply(lambda _: path, axis=1) - - # text column is required - harvest from df - documents["text"] = documents.apply(lambda x: x[self._text_column], axis=1) - - creation_date = await self._storage.get_creation_date(path) - documents["creation_date"] = documents.apply(lambda _: creation_date, axis=1) - return documents diff --git a/packages/graphrag/graphrag/index/input/text.py b/packages/graphrag/graphrag/index/input/text.py index 83193ce767..a688e7c202 100644 --- a/packages/graphrag/graphrag/index/input/text.py +++ b/packages/graphrag/graphrag/index/input/text.py @@ -6,9 +6,8 @@ import logging from pathlib import Path -import pandas as pd - from graphrag.index.input.input_reader import InputReader +from graphrag.index.input.text_document import TextDocument from graphrag.index.utils.hashing import gen_sha512_hash logger = logging.getLogger(__name__) @@ -17,7 +16,7 @@ class TextFileReader(InputReader): """Reader implementation for text files.""" - async def read_file(self, path: str) -> pd.DataFrame: + async def read_file(self, path: str) -> list[TextDocument]: """Read a text file into a DataFrame of documents. Args: @@ -28,8 +27,10 @@ async def read_file(self, path: str) -> pd.DataFrame: - output - DataFrame with a row for each document in the file. """ text = await self._storage.get(path, encoding=self._encoding) - new_item = {"text": text} - new_item["id"] = gen_sha512_hash(new_item, new_item.keys()) - new_item["title"] = str(Path(path).name) - new_item["creation_date"] = await self._storage.get_creation_date(path) - return pd.DataFrame([new_item]) + document = TextDocument( + id=gen_sha512_hash({"text": text}, ["text"]), + title=str(Path(path).name), + text=text, + creation_date=await self._storage.get_creation_date(path), + ) + return [document] diff --git a/packages/graphrag/graphrag/index/input/text_document.py b/packages/graphrag/graphrag/index/input/text_document.py new file mode 100644 index 0000000000..dd1557e463 --- /dev/null +++ b/packages/graphrag/graphrag/index/input/text_document.py @@ -0,0 +1,23 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""TextDocument dataclass.""" + +from dataclasses import dataclass +from typing import Any + + +@dataclass +class TextDocument: + """The TextDocument holds relevant content for GraphRAG indexing.""" + + id: str + """Unique identifier for the document.""" + text: str + """The main text content of the document.""" + title: str + """The title of the document.""" + creation_date: str + """The creation date of the document, ISO-8601 format.""" + metadata: dict[str, Any] | None = None + """Additional metadata associated with the document.""" diff --git a/packages/graphrag/graphrag/index/workflows/load_input_documents.py b/packages/graphrag/graphrag/index/workflows/load_input_documents.py index 0a1b6fad14..7038e3b67e 100644 --- a/packages/graphrag/graphrag/index/workflows/load_input_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_input_documents.py @@ -38,4 +38,4 @@ async def run_workflow( async def load_input_documents(input_reader: InputReader) -> pd.DataFrame: """Load and parse input documents into a standard format.""" - return await input_reader.read_files() + return pd.DataFrame(await input_reader.read_files()) diff --git a/packages/graphrag/graphrag/index/workflows/load_update_documents.py b/packages/graphrag/graphrag/index/workflows/load_update_documents.py index ab29b2a98a..4ccd96548b 100644 --- a/packages/graphrag/graphrag/index/workflows/load_update_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_update_documents.py @@ -47,7 +47,7 @@ async def load_update_documents( previous_storage: Storage, ) -> pd.DataFrame: """Load and parse update-only input documents into a standard format.""" - input_documents = await input_reader.read_files() + input_documents = pd.DataFrame(await input_reader.read_files()) # previous storage is the output of the previous run # we'll use this to diff the input from the prior delta_documents = await get_delta_docs(input_documents, previous_storage) diff --git a/packages/graphrag/graphrag/prompt_tune/loader/input.py b/packages/graphrag/graphrag/prompt_tune/loader/input.py index c17ea918e5..4381e84281 100644 --- a/packages/graphrag/graphrag/prompt_tune/loader/input.py +++ b/packages/graphrag/graphrag/prompt_tune/loader/input.py @@ -68,7 +68,7 @@ async def load_docs_in_chunks( dataset = await input_reader.read_files() chunk_config = config.chunks chunks_df = create_base_text_units( - documents=dataset, + documents=pd.DataFrame(dataset), callbacks=NoopWorkflowCallbacks(), size=chunk_size, overlap=overlap, diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index f4c1c3cf94..c153f82eb9 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -20,8 +20,9 @@ async def test_csv_loader_one_file(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (2, 4) - assert documents["title"].iloc[0] == "input.csv" + assert len(documents) == 2 + assert documents[0].title == "input.csv" + assert documents[0].metadata is None async def test_csv_loader_one_file_with_title(): @@ -36,8 +37,8 @@ async def test_csv_loader_one_file_with_title(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (2, 4) - assert documents["title"].iloc[0] == "Hello" + assert len(documents) == 2 + assert documents[0].title == "Hello" async def test_csv_loader_one_file_with_metadata(): @@ -53,8 +54,8 @@ async def test_csv_loader_one_file_with_metadata(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (2, 5) - assert documents["metadata"][0] == {"title": "Hello"} + assert len(documents) == 2 + assert documents[0].metadata == {"title": "Hello"} async def test_csv_loader_multiple_files(): @@ -68,4 +69,4 @@ async def test_csv_loader_multiple_files(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (4, 4) + assert len(documents) == 4 diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index d604ca9cc8..cb4e6cd41b 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -18,8 +18,9 @@ async def test_json_loader_one_file_one_object(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (1, 4) - assert documents["title"].iloc[0] == "input.json" + assert len(documents) == 1 + assert documents[0].title == "input.json" + assert documents[0].metadata is None async def test_json_loader_one_file_multiple_objects(): @@ -33,9 +34,8 @@ async def test_json_loader_one_file_multiple_objects(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - print(documents) - assert documents.shape == (3, 4) - assert documents["title"].iloc[0] == "input.json" + assert len(documents) == 3 + assert documents[0].title == "input.json" async def test_json_loader_one_file_with_title(): @@ -50,8 +50,8 @@ async def test_json_loader_one_file_with_title(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (1, 4) - assert documents["title"].iloc[0] == "Hello" + assert len(documents) == 1 + assert documents[0].title == "Hello" async def test_json_loader_one_file_with_metadata(): @@ -67,8 +67,8 @@ async def test_json_loader_one_file_with_metadata(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (1, 5) - assert documents["metadata"][0] == {"title": "Hello"} + assert len(documents) == 1 + assert documents[0].metadata == {"title": "Hello"} async def test_json_loader_multiple_files(): @@ -82,4 +82,4 @@ async def test_json_loader_multiple_files(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (4, 4) + assert len(documents) == 4 diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_txt_loader.py index 67d0764656..c630142e39 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_txt_loader.py @@ -18,8 +18,9 @@ async def test_txt_loader_one_file(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (1, 4) - assert documents["title"].iloc[0] == "input.txt" + assert len(documents) == 1 + assert documents[0].title == "input.txt" + assert documents[0].metadata is None async def test_txt_loader_one_file_with_metadata(): @@ -34,9 +35,9 @@ async def test_txt_loader_one_file_with_metadata(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (1, 5) + assert len(documents) == 1 # unlike csv, we cannot set the title to anything other than the filename - assert documents["metadata"][0] == {"title": "input.txt"} + assert documents[0].metadata == {"title": "input.txt"} async def test_txt_loader_multiple_files(): @@ -50,4 +51,4 @@ async def test_txt_loader_multiple_files(): storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() - assert documents.shape == (2, 4) + assert len(documents) == 2 From a03df1b3508f364c94b03f9c1bbb473c8d6b4bd8 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 14:29:11 -0800 Subject: [PATCH 08/30] Throw if empty documents --- .../graphrag/index/workflows/load_input_documents.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/packages/graphrag/graphrag/index/workflows/load_input_documents.py b/packages/graphrag/graphrag/index/workflows/load_input_documents.py index 7038e3b67e..55f503a941 100644 --- a/packages/graphrag/graphrag/index/workflows/load_input_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_input_documents.py @@ -28,6 +28,11 @@ async def run_workflow( output = await load_input_documents(input_reader) + if len(output) == 0: + msg = "No input documents found." + logger.error(msg) + raise ValueError(msg) + logger.info("Final # of rows loaded: %s", len(output)) context.stats.num_documents = len(output) From 8b45208ba90f2cf42431c22b756123fea4c6a0af Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 14:59:49 -0800 Subject: [PATCH 09/30] Add json lines (jsonl) input support --- packages/graphrag/graphrag/index/input/csv.py | 4 +- .../graphrag/index/input/input_file_type.py | 2 + .../index/input/input_reader_factory.py | 4 ++ .../graphrag/graphrag/index/input/json.py | 4 +- .../graphrag/graphrag/index/input/jsonl.py | 32 +++++++++++ .../index/input/structured_file_reader.py | 6 ++- .../indexing/input/data/one-jsonl/input.jsonl | 3 ++ tests/unit/indexing/input/test_csv_loader.py | 5 +- tests/unit/indexing/input/test_json_loader.py | 9 ++-- .../unit/indexing/input/test_jsonl_loader.py | 53 +++++++++++++++++++ 10 files changed, 106 insertions(+), 16 deletions(-) create mode 100644 packages/graphrag/graphrag/index/input/jsonl.py create mode 100644 tests/unit/indexing/input/data/one-jsonl/input.jsonl create mode 100644 tests/unit/indexing/input/test_jsonl_loader.py diff --git a/packages/graphrag/graphrag/index/input/csv.py b/packages/graphrag/graphrag/index/input/csv.py index c70e19e293..e5830984a3 100644 --- a/packages/graphrag/graphrag/index/input/csv.py +++ b/packages/graphrag/graphrag/index/input/csv.py @@ -16,14 +16,14 @@ class CSVFileReader(StructuredFileReader): """Reader implementation for csv files.""" async def read_file(self, path: str) -> list[TextDocument]: - """Read a csv file into a DataFrame of documents. + """Read a csv file into a list of documents. Args: - path - The path to read the file from. Returns ------- - - output - DataFrame with a row for each document in the file. + - output - list with a TextDocument for each row in the file. """ file = await self._storage.get(path) diff --git a/packages/graphrag/graphrag/index/input/input_file_type.py b/packages/graphrag/graphrag/index/input/input_file_type.py index 3996eee36e..704ff05d5c 100644 --- a/packages/graphrag/graphrag/index/input/input_file_type.py +++ b/packages/graphrag/graphrag/index/input/input_file_type.py @@ -15,6 +15,8 @@ class InputFileType(StrEnum): """The text input type.""" Json = "json" """The JSON input type.""" + JsonLines = "jsonl" + """The JSON Lines input type.""" def __repr__(self): """Get a string representation.""" diff --git a/packages/graphrag/graphrag/index/input/input_reader_factory.py b/packages/graphrag/graphrag/index/input/input_reader_factory.py index e0b391d7eb..ccd16bf21c 100644 --- a/packages/graphrag/graphrag/index/input/input_reader_factory.py +++ b/packages/graphrag/graphrag/index/input/input_reader_factory.py @@ -73,6 +73,10 @@ def create_input_reader(config: InputConfig, storage: Storage) -> InputReader: from graphrag.index.input.json import JSONFileReader register_input_reader(InputFileType.Json, JSONFileReader) + case InputFileType.JsonLines: + from graphrag.index.input.jsonl import JSONLinesFileReader + + register_input_reader(InputFileType.JsonLines, JSONLinesFileReader) case _: msg = f"InputConfig.file_type '{input_strategy}' is not registered in the InputReaderFactory. Registered types: {', '.join(input_reader_factory.keys())}." raise ValueError(msg) diff --git a/packages/graphrag/graphrag/index/input/json.py b/packages/graphrag/graphrag/index/input/json.py index 6f7d68844f..ef13b260fc 100644 --- a/packages/graphrag/graphrag/index/input/json.py +++ b/packages/graphrag/graphrag/index/input/json.py @@ -16,14 +16,14 @@ class JSONFileReader(StructuredFileReader): """Reader implementation for json files.""" async def read_file(self, path: str) -> list[TextDocument]: - """Read a JSON file into a DataFrame of documents. + """Read a JSON file into a list of documents. Args: - path - The path to read the file from. Returns ------- - - output - DataFrame with a row for each document in the file. + - output - list with a TextDocument for each row in the file. """ text = await self._storage.get(path, encoding=self._encoding) as_json = json.loads(text) diff --git a/packages/graphrag/graphrag/index/input/jsonl.py b/packages/graphrag/graphrag/index/input/jsonl.py new file mode 100644 index 0000000000..a3a3a929a5 --- /dev/null +++ b/packages/graphrag/graphrag/index/input/jsonl.py @@ -0,0 +1,32 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'JSONFileReader' model.""" + +import json +import logging + +from graphrag.index.input.structured_file_reader import StructuredFileReader +from graphrag.index.input.text_document import TextDocument + +logger = logging.getLogger(__name__) + + +class JSONLinesFileReader(StructuredFileReader): + """Reader implementation for json files.""" + + async def read_file(self, path: str) -> list[TextDocument]: + """Read a JSON lines file into a list of documents. + + This differs from standard JSON files in that each line is a separate JSON object. + + Args: + - path - The path to read the file from. + + Returns + ------- + - output - list with a TextDocument for each row in the file. + """ + text = await self._storage.get(path, encoding=self._encoding) + rows = [json.loads(line) for line in text.splitlines()] + return await self.process_data_columns(rows, path) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py index 6cb3cfa765..f761cab6cd 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -35,7 +35,7 @@ async def process_data_columns( ) -> list[TextDocument]: """Process configured data columns from a list of loaded dicts.""" documents = [] - for row in rows: + for index, row in enumerate(rows): # text column is required - harvest from dict text = row[self._text_column] # id is optional - generate from harvest from dict or hash from text @@ -45,7 +45,9 @@ async def process_data_columns( else gen_sha512_hash({"text": text}, ["text"]) ) # title is optional - harvest from dict or use filename - title = row[self._title_column] if self._title_column else str(path) + title = ( + row[self._title_column] if self._title_column else f"{path} ({index})" + ) creation_date = await self._storage.get_creation_date(path) documents.append( TextDocument( diff --git a/tests/unit/indexing/input/data/one-jsonl/input.jsonl b/tests/unit/indexing/input/data/one-jsonl/input.jsonl new file mode 100644 index 0000000000..2866aed408 --- /dev/null +++ b/tests/unit/indexing/input/data/one-jsonl/input.jsonl @@ -0,0 +1,3 @@ +{ "title": "Hello", "text": "Hi how are you today?"} +{ "title": "Goodbye", "text": "I'm outta here"} +{ "title": "Adios", "text": "See you later"} \ No newline at end of file diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index c153f82eb9..440dd18f00 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -21,7 +21,7 @@ async def test_csv_loader_one_file(): reader = create_input_reader(config, storage) documents = await reader.read_files() assert len(documents) == 2 - assert documents[0].title == "input.csv" + assert documents[0].title == "input.csv (0)" assert documents[0].metadata is None @@ -31,7 +31,6 @@ async def test_csv_loader_one_file_with_title(): base_dir="tests/unit/indexing/input/data/one-csv", ), file_type=InputFileType.Csv, - file_pattern=".*\\.csv$", title_column="title", ) storage = create_storage(config.storage) @@ -47,7 +46,6 @@ async def test_csv_loader_one_file_with_metadata(): base_dir="tests/unit/indexing/input/data/one-csv", ), file_type=InputFileType.Csv, - file_pattern=".*\\.csv$", title_column="title", metadata=["title"], ) @@ -64,7 +62,6 @@ async def test_csv_loader_multiple_files(): base_dir="tests/unit/indexing/input/data/multiple-csvs", ), file_type=InputFileType.Csv, - file_pattern=".*\\.csv$", ) storage = create_storage(config.storage) reader = create_input_reader(config, storage) diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index cb4e6cd41b..7de1e8434f 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -19,7 +19,7 @@ async def test_json_loader_one_file_one_object(): reader = create_input_reader(config, storage) documents = await reader.read_files() assert len(documents) == 1 - assert documents[0].title == "input.json" + assert documents[0].title == "input.json (0)" assert documents[0].metadata is None @@ -29,13 +29,13 @@ async def test_json_loader_one_file_multiple_objects(): base_dir="tests/unit/indexing/input/data/one-json-multiple-objects", ), file_type=InputFileType.Json, - file_pattern=".*\\.json$", ) storage = create_storage(config.storage) reader = create_input_reader(config, storage) documents = await reader.read_files() assert len(documents) == 3 - assert documents[0].title == "input.json" + assert documents[0].title == "input.json (0)" + assert documents[1].title == "input.json (1)" async def test_json_loader_one_file_with_title(): @@ -44,7 +44,6 @@ async def test_json_loader_one_file_with_title(): base_dir="tests/unit/indexing/input/data/one-json-one-object", ), file_type=InputFileType.Json, - file_pattern=".*\\.json$", title_column="title", ) storage = create_storage(config.storage) @@ -60,7 +59,6 @@ async def test_json_loader_one_file_with_metadata(): base_dir="tests/unit/indexing/input/data/one-json-one-object", ), file_type=InputFileType.Json, - file_pattern=".*\\.json$", title_column="title", metadata=["title"], ) @@ -77,7 +75,6 @@ async def test_json_loader_multiple_files(): base_dir="tests/unit/indexing/input/data/multiple-jsons", ), file_type=InputFileType.Json, - file_pattern=".*\\.json$", ) storage = create_storage(config.storage) reader = create_input_reader(config, storage) diff --git a/tests/unit/indexing/input/test_jsonl_loader.py b/tests/unit/indexing/input/test_jsonl_loader.py new file mode 100644 index 0000000000..a41c467b18 --- /dev/null +++ b/tests/unit/indexing/input/test_jsonl_loader.py @@ -0,0 +1,53 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.input.input_config import InputConfig +from graphrag.index.input.input_file_type import InputFileType +from graphrag.index.input.input_reader_factory import create_input_reader +from graphrag_storage import StorageConfig, create_storage + + +async def test_jsonl_loader_one_file_multiple_objects(): + config = InputConfig( + storage=StorageConfig( + base_dir="tests/unit/indexing/input/data/one-jsonl", + ), + file_type=InputFileType.JsonLines, + file_pattern=".*\\.jsonl$", + ) + storage = create_storage(config.storage) + reader = create_input_reader(config, storage) + documents = await reader.read_files() + assert len(documents) == 3 + assert documents[0].title == "input.jsonl (0)" + + +async def test_jsonl_loader_one_file_with_title(): + config = InputConfig( + storage=StorageConfig( + base_dir="tests/unit/indexing/input/data/one-jsonl", + ), + file_type=InputFileType.JsonLines, + title_column="title", + ) + storage = create_storage(config.storage) + reader = create_input_reader(config, storage) + documents = await reader.read_files() + assert len(documents) == 3 + assert documents[0].title == "Hello" + + +async def test_jsonl_loader_one_file_with_metadata(): + config = InputConfig( + storage=StorageConfig( + base_dir="tests/unit/indexing/input/data/one-jsonl", + ), + file_type=InputFileType.JsonLines, + title_column="title", + metadata=["title"], + ) + storage = create_storage(config.storage) + reader = create_input_reader(config, storage) + documents = await reader.read_files() + assert len(documents) == 3 + assert documents[0].metadata == {"title": "Hello"} From 6ac0b582ed27089a68c1e168e68d40cda9c4f395 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 15:39:58 -0800 Subject: [PATCH 10/30] Store raw data --- .../graphrag/graphrag/index/input/structured_file_reader.py | 1 + packages/graphrag/graphrag/index/input/text.py | 1 + packages/graphrag/graphrag/index/input/text_document.py | 2 ++ 3 files changed, 4 insertions(+) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py index f761cab6cd..f5c8154a05 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -55,6 +55,7 @@ async def process_data_columns( title=title, text=text, creation_date=creation_date, + raw_data=row, ) ) return documents diff --git a/packages/graphrag/graphrag/index/input/text.py b/packages/graphrag/graphrag/index/input/text.py index a688e7c202..d9ec843217 100644 --- a/packages/graphrag/graphrag/index/input/text.py +++ b/packages/graphrag/graphrag/index/input/text.py @@ -32,5 +32,6 @@ async def read_file(self, path: str) -> list[TextDocument]: title=str(Path(path).name), text=text, creation_date=await self._storage.get_creation_date(path), + raw_data={}, ) return [document] diff --git a/packages/graphrag/graphrag/index/input/text_document.py b/packages/graphrag/graphrag/index/input/text_document.py index dd1557e463..5d11bab864 100644 --- a/packages/graphrag/graphrag/index/input/text_document.py +++ b/packages/graphrag/graphrag/index/input/text_document.py @@ -19,5 +19,7 @@ class TextDocument: """The title of the document.""" creation_date: str """The creation date of the document, ISO-8601 format.""" + raw_data: dict[str, Any] + """Raw data from source document.""" metadata: dict[str, Any] | None = None """Additional metadata associated with the document.""" From fb9a92464b4528a318493fa67875580a08fa9387 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 15:48:06 -0800 Subject: [PATCH 11/30] Fix merge imports --- packages/graphrag/graphrag/config/enums.py | 19 ------------------- .../config/models/graph_rag_config.py | 5 ++--- 2 files changed, 2 insertions(+), 22 deletions(-) diff --git a/packages/graphrag/graphrag/config/enums.py b/packages/graphrag/graphrag/config/enums.py index b1c9e32065..9685ebb07b 100644 --- a/packages/graphrag/graphrag/config/enums.py +++ b/packages/graphrag/graphrag/config/enums.py @@ -8,25 +8,6 @@ from enum import Enum -class CacheType(str, Enum): - """The cache configuration type for the pipeline.""" - - file = "file" - """The file cache configuration type.""" - memory = "memory" - """The memory cache configuration type.""" - none = "none" - """The none cache configuration type.""" - blob = "blob" - """The blob cache configuration type.""" - cosmosdb = "cosmosdb" - """The cosmosdb cache configuration type""" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - class VectorStoreType(str, Enum): """The supported vector store types.""" diff --git a/packages/graphrag/graphrag/config/models/graph_rag_config.py b/packages/graphrag/graphrag/config/models/graph_rag_config.py index bae40d0fad..ca00eb7327 100644 --- a/packages/graphrag/graphrag/config/models/graph_rag_config.py +++ b/packages/graphrag/graphrag/config/models/graph_rag_config.py @@ -12,9 +12,8 @@ from graphrag_storage import StorageConfig, StorageType from pydantic import BaseModel, Field, model_validator -import graphrag.config.defaults as defs from graphrag.config.defaults import graphrag_config_defaults -from graphrag.config.enums import VectorStoreType +from graphrag.config.enums import ReportingType, VectorStoreType from graphrag.config.models.basic_search_config import BasicSearchConfig from graphrag.config.models.cluster_graph_config import ClusterGraphConfig from graphrag.config.models.community_reports_config import CommunityReportsConfig @@ -176,7 +175,7 @@ def _validate_update_index_output_base_dir(self) -> None: def _validate_reporting_base_dir(self) -> None: """Validate the reporting base directory.""" - if self.reporting.type == defs.ReportingType.file: + if self.reporting.type == ReportingType.file: if self.reporting.base_dir.strip() == "": msg = "Reporting base directory is required for file reporting. Please rerun `graphrag init` and set the reporting configuration." raise ValueError(msg) From e2395e97ba86ccf9c6431a1e2302c59f9c1fa55d Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 16:45:29 -0800 Subject: [PATCH 12/30] Move metadata handling entirely to chunking --- .../graphrag_chunking/add_metadata.py | 2 +- .../graphrag_chunking/chunking_config.py | 6 +-- packages/graphrag/graphrag/config/defaults.py | 3 +- .../graphrag/index/input/input_config.py | 4 -- .../graphrag/index/input/input_reader.py | 22 +--------- .../graphrag/graphrag/index/input/text.py | 2 +- .../graphrag/index/input/text_document.py | 27 +++++++++++-- .../graphrag/graphrag/index/input/util.py | 40 ------------------- .../index/workflows/create_base_text_units.py | 18 ++++++--- tests/unit/config/utils.py | 1 - tests/unit/indexing/input/test_csv_loader.py | 22 +++------- tests/unit/indexing/input/test_json_loader.py | 21 ++-------- .../unit/indexing/input/test_jsonl_loader.py | 21 +++------- tests/unit/indexing/input/test_txt_loader.py | 19 +-------- tests/verbs/test_create_base_text_units.py | 6 +-- tests/verbs/test_create_final_documents.py | 5 --- tests/verbs/util.py | 11 +---- 17 files changed, 61 insertions(+), 169 deletions(-) delete mode 100644 packages/graphrag/graphrag/index/input/util.py diff --git a/packages/graphrag-chunking/graphrag_chunking/add_metadata.py b/packages/graphrag-chunking/graphrag_chunking/add_metadata.py index 3b02994d4c..79203b3ce4 100644 --- a/packages/graphrag-chunking/graphrag_chunking/add_metadata.py +++ b/packages/graphrag-chunking/graphrag_chunking/add_metadata.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing 'prepend_metadata' function.""" +"""A module containing 'add_metadata' function.""" def add_metadata( diff --git a/packages/graphrag-chunking/graphrag_chunking/chunking_config.py b/packages/graphrag-chunking/graphrag_chunking/chunking_config.py index 1bb5b84e44..69db1260a1 100644 --- a/packages/graphrag-chunking/graphrag_chunking/chunking_config.py +++ b/packages/graphrag-chunking/graphrag_chunking/chunking_config.py @@ -30,7 +30,7 @@ class ChunkingConfig(BaseModel): description="The chunk overlap to use.", default=100, ) - prepend_metadata: bool = Field( - description="Prepend metadata into each chunk.", - default=False, + prepend_metadata: list[str] | None = Field( + description="Metadata fields from the source document to prepend on each chunk.", + default=None, ) diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index 7f3321d335..dc2a857c78 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -64,7 +64,7 @@ class ChunkingDefaults: size: int = 1200 overlap: int = 100 encoding_model: str = ENCODING_MODEL - prepend_metadata: bool = False + prepend_metadata: None = None @dataclass @@ -243,7 +243,6 @@ class InputDefaults: id_column: None = None title_column: None = None text_column: None = None - metadata: None = None @dataclass diff --git a/packages/graphrag/graphrag/index/input/input_config.py b/packages/graphrag/graphrag/index/input/input_config.py index 72b26ccb46..a378df1a01 100644 --- a/packages/graphrag/graphrag/index/input/input_config.py +++ b/packages/graphrag/graphrag/index/input/input_config.py @@ -46,7 +46,3 @@ class InputConfig(BaseModel): description="The input text column to use.", default=graphrag_config_defaults.input.text_column, ) - metadata: list[str] | None = Field( - description="The document attribute columns to use.", - default=graphrag_config_defaults.input.metadata, - ) diff --git a/packages/graphrag/graphrag/index/input/input_reader.py b/packages/graphrag/graphrag/index/input/input_reader.py index 1b7dcf97fd..246e768b06 100644 --- a/packages/graphrag/graphrag/index/input/input_reader.py +++ b/packages/graphrag/graphrag/index/input/input_reader.py @@ -8,7 +8,6 @@ import logging import re from abc import ABCMeta, abstractmethod -from dataclasses import asdict from typing import TYPE_CHECKING if TYPE_CHECKING: @@ -28,19 +27,11 @@ def __init__( file_type: str, encoding: str = "utf-8", file_pattern: str | None = None, - id_column: str | None = None, - title_column: str | None = None, - text_column: str = "text", - metadata: list[str] | None = None, **kwargs, ): self._storage = storage self._file_type = file_type self._encoding = encoding - self._id_column = id_column - self._title_column = title_column - self._text_column = text_column - self._metadata = metadata # built-in readers set a default pattern if none is provided # this is usually just the file type itself, e.g., the file extension @@ -64,18 +55,7 @@ async def read_files(self) -> list[TextDocument]: for file in files: try: - file_documents = await self.read_file(file) - - if self._metadata: - for document in file_documents: - # Collapse the metadata columns into a single JSON object column - document.metadata = { - k: v - for k, v in asdict(document).items() - if k in self._metadata - } - - documents.extend(file_documents) + documents.extend(await self.read_file(file)) except Exception as e: # noqa: BLE001 (catching Exception is fine here) logger.warning("Warning! Error loading file %s. Skipping...", file) logger.warning("Error: %s", e) diff --git a/packages/graphrag/graphrag/index/input/text.py b/packages/graphrag/graphrag/index/input/text.py index d9ec843217..d5d14e1c4a 100644 --- a/packages/graphrag/graphrag/index/input/text.py +++ b/packages/graphrag/graphrag/index/input/text.py @@ -32,6 +32,6 @@ async def read_file(self, path: str) -> list[TextDocument]: title=str(Path(path).name), text=text, creation_date=await self._storage.get_creation_date(path), - raw_data={}, + raw_data=None, ) return [document] diff --git a/packages/graphrag/graphrag/index/input/text_document.py b/packages/graphrag/graphrag/index/input/text_document.py index 5d11bab864..691393f71f 100644 --- a/packages/graphrag/graphrag/index/input/text_document.py +++ b/packages/graphrag/graphrag/index/input/text_document.py @@ -19,7 +19,28 @@ class TextDocument: """The title of the document.""" creation_date: str """The creation date of the document, ISO-8601 format.""" - raw_data: dict[str, Any] + raw_data: dict[str, Any] | None = None """Raw data from source document.""" - metadata: dict[str, Any] | None = None - """Additional metadata associated with the document.""" + + def pluck_metadata(self, fields: list[str]) -> dict[str, Any]: + """Extract metadata fields from a TextDocument. + + This takes a two step approach for flexibility: + 1. If the field is one of the standard text document fields (id, title, text, creation_date), just grab it directly. This accommodates unstructured text for example, which just has the standard fields. + 2. Otherwise. try to extract it from the raw_data dict. This allows users to specify any column from the original input file. + + If a field does not exist in either location, we'll throw because that means the user config is incorrect. + """ + metadata = {} + for field in fields: + if field in ["id", "title", "text", "creation_date"]: + value = getattr(self, field) + else: + raw = self.raw_data or {} + if field not in raw: + msg = f"Metadata field '{field}' not found in TextDocument standard fields or raw_data. Please check your configuration." + raise ValueError(msg) + value = raw.get(field, None) + if value is not None: + metadata[field] = value + return metadata diff --git a/packages/graphrag/graphrag/index/input/util.py b/packages/graphrag/graphrag/index/input/util.py deleted file mode 100644 index 868ce10e72..0000000000 --- a/packages/graphrag/graphrag/index/input/util.py +++ /dev/null @@ -1,40 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Shared column processing for structured input files.""" - -import logging - -import pandas as pd - -from graphrag.index.utils.hashing import gen_sha512_hash - -logger = logging.getLogger(__name__) - - -def process_data_columns( - documents: pd.DataFrame, - path: str, - id_column: str | None = None, - title_column: str | None = None, - text_column: str = "text", -) -> pd.DataFrame: - """Process configured data columns of a DataFrame.""" - # id is optional - generate from harvest from df or hash from text - if id_column is not None: - documents["id"] = documents.apply(lambda x: x[id_column], axis=1) - else: - documents["id"] = documents.apply( - lambda x: gen_sha512_hash(x, x.keys()), axis=1 - ) - - # title is optional - harvest from df or use filename - if title_column is not None: - documents["title"] = documents.apply(lambda x: x[title_column], axis=1) - else: - documents["title"] = documents.apply(lambda _: path, axis=1) - - # text column is required - harvest from df - documents["text"] = documents.apply(lambda x: x[text_column], axis=1) - - return documents diff --git a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py index fce186e0c6..df933b521c 100644 --- a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py +++ b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py @@ -3,7 +3,6 @@ """A module containing run_workflow method definition.""" -import json import logging from typing import Any, cast @@ -14,6 +13,7 @@ from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.input.text_document import TextDocument from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.index.utils.hashing import gen_sha512_hash @@ -54,7 +54,7 @@ def create_base_text_units( callbacks: WorkflowCallbacks, tokenizer: Tokenizer, chunker: Chunker, - prepend_metadata: bool | None = False, + prepend_metadata: list[str] | None = None, ) -> pd.DataFrame: """All the steps to transform base text_units.""" documents.sort_values(by=["id"], ascending=[True], inplace=True) @@ -68,9 +68,17 @@ def create_base_text_units( def chunker_with_logging(row: pd.Series, row_index: int) -> Any: row["chunks"] = [chunk.text for chunk in chunker.chunk(row["text"])] - metadata = row.get("metadata", None) - if prepend_metadata and metadata is not None: - metadata = json.loads(metadata) if isinstance(metadata, str) else metadata + if prepend_metadata: + # create a standard text document for metadata plucking + # ignore any additional fields in case the input dataframe has extra columns + document = TextDocument( + id=row["id"], + title=row["title"], + text=row["text"], + creation_date=row["creation_date"], + raw_data=row.get("raw_data", None), + ) + metadata = document.pluck_metadata(prepend_metadata) row["chunks"] = [ add_metadata(chunk, metadata, line_delimiter=".\n") for chunk in row["chunks"] diff --git a/tests/unit/config/utils.py b/tests/unit/config/utils.py index 79774a11ec..b54e465dd4 100644 --- a/tests/unit/config/utils.py +++ b/tests/unit/config/utils.py @@ -149,7 +149,6 @@ def assert_input_configs(actual: InputConfig, expected: InputConfig) -> None: assert actual.file_pattern == expected.file_pattern assert actual.text_column == expected.text_column assert actual.title_column == expected.title_column - assert actual.metadata == expected.metadata def assert_text_embedding_configs( diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index 440dd18f00..fba94d6196 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -22,7 +22,11 @@ async def test_csv_loader_one_file(): documents = await reader.read_files() assert len(documents) == 2 assert documents[0].title == "input.csv (0)" - assert documents[0].metadata is None + assert documents[0].raw_data == { + "title": "Hello", + "text": "Hi how are you today?", + } + assert documents[1].title == "input.csv (1)" async def test_csv_loader_one_file_with_title(): @@ -40,22 +44,6 @@ async def test_csv_loader_one_file_with_title(): assert documents[0].title == "Hello" -async def test_csv_loader_one_file_with_metadata(): - config = InputConfig( - storage=StorageConfig( - base_dir="tests/unit/indexing/input/data/one-csv", - ), - file_type=InputFileType.Csv, - title_column="title", - metadata=["title"], - ) - storage = create_storage(config.storage) - reader = create_input_reader(config, storage) - documents = await reader.read_files() - assert len(documents) == 2 - assert documents[0].metadata == {"title": "Hello"} - - async def test_csv_loader_multiple_files(): config = InputConfig( storage=StorageConfig( diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index 7de1e8434f..ad3a25f022 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -20,7 +20,10 @@ async def test_json_loader_one_file_one_object(): documents = await reader.read_files() assert len(documents) == 1 assert documents[0].title == "input.json (0)" - assert documents[0].metadata is None + assert documents[0].raw_data == { + "title": "Hello", + "text": "Hi how are you today?", + } async def test_json_loader_one_file_multiple_objects(): @@ -53,22 +56,6 @@ async def test_json_loader_one_file_with_title(): assert documents[0].title == "Hello" -async def test_json_loader_one_file_with_metadata(): - config = InputConfig( - storage=StorageConfig( - base_dir="tests/unit/indexing/input/data/one-json-one-object", - ), - file_type=InputFileType.Json, - title_column="title", - metadata=["title"], - ) - storage = create_storage(config.storage) - reader = create_input_reader(config, storage) - documents = await reader.read_files() - assert len(documents) == 1 - assert documents[0].metadata == {"title": "Hello"} - - async def test_json_loader_multiple_files(): config = InputConfig( storage=StorageConfig( diff --git a/tests/unit/indexing/input/test_jsonl_loader.py b/tests/unit/indexing/input/test_jsonl_loader.py index a41c467b18..3293693875 100644 --- a/tests/unit/indexing/input/test_jsonl_loader.py +++ b/tests/unit/indexing/input/test_jsonl_loader.py @@ -20,6 +20,11 @@ async def test_jsonl_loader_one_file_multiple_objects(): documents = await reader.read_files() assert len(documents) == 3 assert documents[0].title == "input.jsonl (0)" + assert documents[0].raw_data == { + "title": "Hello", + "text": "Hi how are you today?", + } + assert documents[1].title == "input.jsonl (1)" async def test_jsonl_loader_one_file_with_title(): @@ -35,19 +40,3 @@ async def test_jsonl_loader_one_file_with_title(): documents = await reader.read_files() assert len(documents) == 3 assert documents[0].title == "Hello" - - -async def test_jsonl_loader_one_file_with_metadata(): - config = InputConfig( - storage=StorageConfig( - base_dir="tests/unit/indexing/input/data/one-jsonl", - ), - file_type=InputFileType.JsonLines, - title_column="title", - metadata=["title"], - ) - storage = create_storage(config.storage) - reader = create_input_reader(config, storage) - documents = await reader.read_files() - assert len(documents) == 3 - assert documents[0].metadata == {"title": "Hello"} diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_txt_loader.py index c630142e39..0190876c65 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_txt_loader.py @@ -20,24 +20,7 @@ async def test_txt_loader_one_file(): documents = await reader.read_files() assert len(documents) == 1 assert documents[0].title == "input.txt" - assert documents[0].metadata is None - - -async def test_txt_loader_one_file_with_metadata(): - config = InputConfig( - storage=StorageConfig( - base_dir="tests/unit/indexing/input/data/one-txt", - ), - file_type=InputFileType.Text, - file_pattern=".*\\.txt$", - metadata=["title"], - ) - storage = create_storage(config.storage) - reader = create_input_reader(config, storage) - documents = await reader.read_files() - assert len(documents) == 1 - # unlike csv, we cannot set the title to anything other than the filename - assert documents[0].metadata == {"title": "input.txt"} + assert documents[0].raw_data is None async def test_txt_loader_multiple_files(): diff --git a/tests/verbs/test_create_base_text_units.py b/tests/verbs/test_create_base_text_units.py index 89018e1609..7939919a5f 100644 --- a/tests/verbs/test_create_base_text_units.py +++ b/tests/verbs/test_create_base_text_units.py @@ -10,7 +10,6 @@ compare_outputs, create_test_context, load_test_table, - update_document_metadata, ) @@ -34,10 +33,7 @@ async def test_create_base_text_units_metadata(): context = await create_test_context() config = GraphRagConfig(models=DEFAULT_MODEL_CONFIG) # type: ignore - config.input.metadata = ["title"] - config.chunking.prepend_metadata = True - - await update_document_metadata(config.input.metadata, context) + config.chunking.prepend_metadata = ["title"] await run_workflow(config, context) diff --git a/tests/verbs/test_create_final_documents.py b/tests/verbs/test_create_final_documents.py index 05f4b60691..c2c2725688 100644 --- a/tests/verbs/test_create_final_documents.py +++ b/tests/verbs/test_create_final_documents.py @@ -13,7 +13,6 @@ compare_outputs, create_test_context, load_test_table, - update_document_metadata, ) @@ -42,10 +41,6 @@ async def test_create_final_documents_with_metadata_column(): ) config = GraphRagConfig(models=DEFAULT_MODEL_CONFIG) # type: ignore - config.input.metadata = ["title"] - - # simulate the metadata construction during initial input loading - await update_document_metadata(config.input.metadata, context) expected = await load_table_from_storage("documents", context.output_storage) diff --git a/tests/verbs/util.py b/tests/verbs/util.py index 6dc6667210..e025dde65d 100644 --- a/tests/verbs/util.py +++ b/tests/verbs/util.py @@ -5,7 +5,7 @@ import pandas as pd from graphrag.index.run.utils import create_run_context from graphrag.index.typing.context import PipelineRunContext -from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +from graphrag.utils.storage import write_table_to_storage from pandas.testing import assert_series_equal pd.set_option("display.max_columns", None) @@ -87,12 +87,3 @@ def compare_outputs( print("Actual:") print(actual[column]) raise - - -async def update_document_metadata(metadata: list[str], context: PipelineRunContext): - """Takes the default documents and adds the configured metadata columns for later parsing by the text units and final documents workflows.""" - documents = await load_table_from_storage("documents", context.output_storage) - documents["metadata"] = documents[metadata].apply(lambda row: row.to_dict(), axis=1) - await write_table_to_storage( - documents, "documents", context.output_storage - ) # write to the runtime context storage only From 36b7be72f1bd5c60996ef9011715032c1d1676f7 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Tue, 6 Jan 2026 16:48:14 -0800 Subject: [PATCH 13/30] Nicer automatic title --- .../graphrag/graphrag/index/input/structured_file_reader.py | 5 ++--- tests/unit/indexing/input/test_json_loader.py | 2 +- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py index f5c8154a05..9e8475b402 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -45,9 +45,8 @@ async def process_data_columns( else gen_sha512_hash({"text": text}, ["text"]) ) # title is optional - harvest from dict or use filename - title = ( - row[self._title_column] if self._title_column else f"{path} ({index})" - ) + num = f" ({index})" if len(rows) > 1 else "" + title = row[self._title_column] if self._title_column else f"{path}{num}" creation_date = await self._storage.get_creation_date(path) documents.append( TextDocument( diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index ad3a25f022..d8fc2b9512 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -19,7 +19,7 @@ async def test_json_loader_one_file_one_object(): reader = create_input_reader(config, storage) documents = await reader.read_files() assert len(documents) == 1 - assert documents[0].title == "input.json (0)" + assert documents[0].title == "input.json" assert documents[0].raw_data == { "title": "Hello", "text": "Hi how are you today?", From 9d161bdd9ffd54bcb6e654c3748a3b4bccfbdbde Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Wed, 7 Jan 2026 14:10:48 -0800 Subject: [PATCH 14/30] Typo --- .../graphrag/graphrag/index/input/structured_file_reader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py index 9e8475b402..274f89dcd8 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -38,7 +38,7 @@ async def process_data_columns( for index, row in enumerate(rows): # text column is required - harvest from dict text = row[self._text_column] - # id is optional - generate from harvest from dict or hash from text + # id is optional - harvest from dict or hash from text id = ( row[self._id_column] if self._id_column From 164c5e1188b9bea3b5ff15edb76767045bf6c7fb Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Wed, 7 Jan 2026 16:21:21 -0800 Subject: [PATCH 15/30] Add get_property utility for nested dictionary access with dot notation --- .../graphrag/index/input/get_property.py | 36 +++++++++ .../graphrag/index/input/text_document.py | 15 +++- .../unit/indexing/input/test_text_document.py | 76 +++++++++++++++++++ 3 files changed, 123 insertions(+), 4 deletions(-) create mode 100644 packages/graphrag/graphrag/index/input/get_property.py create mode 100644 tests/unit/indexing/input/test_text_document.py diff --git a/packages/graphrag/graphrag/index/input/get_property.py b/packages/graphrag/graphrag/index/input/get_property.py new file mode 100644 index 0000000000..8c82d69885 --- /dev/null +++ b/packages/graphrag/graphrag/index/input/get_property.py @@ -0,0 +1,36 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utility for retrieving properties from nested dictionaries.""" + +from typing import Any + + +def get_property(data: dict[str, Any], path: str) -> Any: + """Retrieve a property from a dictionary using dot notation. + + Parameters + ---------- + data : dict[str, Any] + The dictionary to retrieve the property from. + path : str + A dot-separated string representing the path to the property (e.g., "foo.bar.baz"). + + Returns + ------- + Any + The value at the specified path. + + Raises + ------ + KeyError + If the path does not exist in the dictionary. + """ + keys = path.split(".") + current = data + for key in keys: + if not isinstance(current, dict) or key not in current: + msg = f"Property '{path}' not found" + raise KeyError(msg) + current = current[key] + return current diff --git a/packages/graphrag/graphrag/index/input/text_document.py b/packages/graphrag/graphrag/index/input/text_document.py index 691393f71f..472d36ec08 100644 --- a/packages/graphrag/graphrag/index/input/text_document.py +++ b/packages/graphrag/graphrag/index/input/text_document.py @@ -3,9 +3,14 @@ """TextDocument dataclass.""" +import logging from dataclasses import dataclass from typing import Any +from graphrag.index.input.get_property import get_property + +logger = logging.getLogger(__name__) + @dataclass class TextDocument: @@ -37,10 +42,12 @@ def pluck_metadata(self, fields: list[str]) -> dict[str, Any]: value = getattr(self, field) else: raw = self.raw_data or {} - if field not in raw: - msg = f"Metadata field '{field}' not found in TextDocument standard fields or raw_data. Please check your configuration." - raise ValueError(msg) - value = raw.get(field, None) + value = get_property(raw, field) + if value is None: + logger.warning( + "Metadata field '%s' not found in TextDocument standard fields or raw_data. Please check your configuration.", + field, + ) if value is not None: metadata[field] = value return metadata diff --git a/tests/unit/indexing/input/test_text_document.py b/tests/unit/indexing/input/test_text_document.py new file mode 100644 index 0000000000..6d1ff877c0 --- /dev/null +++ b/tests/unit/indexing/input/test_text_document.py @@ -0,0 +1,76 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +import pytest +from graphrag.index.input.get_property import get_property + + +def test_get_property_single_level(): + data = {"foo": "bar"} + assert get_property(data, "foo") == "bar" + + +def test_get_property_two_levels(): + data = {"foo": {"bar": "baz"}} + assert get_property(data, "foo.bar") == "baz" + + +def test_get_property_three_levels(): + data = {"a": {"b": {"c": "value"}}} + assert get_property(data, "a.b.c") == "value" + + +def test_get_property_returns_dict(): + data = {"foo": {"bar": {"baz": "qux"}}} + result = get_property(data, "foo.bar") + assert result == {"baz": "qux"} + + +def test_get_property_missing_key_raises(): + data = {"foo": "bar"} + with pytest.raises(KeyError): + get_property(data, "missing") + + +def test_get_property_missing_nested_key_raises(): + data = {"foo": {"bar": "baz"}} + with pytest.raises(KeyError): + get_property(data, "foo.missing") + + +def test_get_property_non_dict_intermediate_raises(): + data = {"foo": "bar"} + with pytest.raises(KeyError): + get_property(data, "foo.bar") + + +def test_get_property_empty_dict_raises(): + data = {} + with pytest.raises(KeyError): + get_property(data, "foo") + + +def test_get_property_with_none_value(): + data = {"foo": None} + assert get_property(data, "foo") is None + + +def test_get_property_with_list_value(): + data = {"foo": [1, 2, 3]} + assert get_property(data, "foo") == [1, 2, 3] + + +def test_get_property_list_intermediate_raises(): + data = {"foo": [{"bar": "baz"}]} + with pytest.raises(KeyError): + get_property(data, "foo.bar") + + +def test_get_property_numeric_value(): + data = {"count": 42} + assert get_property(data, "count") == 42 + + +def test_get_property_boolean_value(): + data = {"enabled": True} + assert get_property(data, "enabled") is True From 868fde1c22bb9d9b146c6064613426d7f531b6f4 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Wed, 7 Jan 2026 16:22:00 -0800 Subject: [PATCH 16/30] Update structured_file_reader to use get_property utility --- .../graphrag/index/input/structured_file_reader.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag/graphrag/index/input/structured_file_reader.py index 274f89dcd8..14df809281 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag/graphrag/index/input/structured_file_reader.py @@ -6,6 +6,7 @@ import logging from typing import Any +from graphrag.index.input.get_property import get_property from graphrag.index.input.input_reader import InputReader from graphrag.index.input.text_document import TextDocument from graphrag.index.utils.hashing import gen_sha512_hash @@ -37,16 +38,20 @@ async def process_data_columns( documents = [] for index, row in enumerate(rows): # text column is required - harvest from dict - text = row[self._text_column] + text = get_property(row, self._text_column) # id is optional - harvest from dict or hash from text id = ( - row[self._id_column] + get_property(row, self._id_column) if self._id_column else gen_sha512_hash({"text": text}, ["text"]) ) # title is optional - harvest from dict or use filename num = f" ({index})" if len(rows) > 1 else "" - title = row[self._title_column] if self._title_column else f"{path}{num}" + title = ( + get_property(row, self._title_column) + if self._title_column + else f"{path}{num}" + ) creation_date = await self._storage.get_creation_date(path) documents.append( TextDocument( From e8e316f29105cf0dde9e912ed837ab715856fa11 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Wed, 7 Jan 2026 16:40:18 -0800 Subject: [PATCH 17/30] Extract input module into new graphrag-input monorepo package - Create new graphrag-input package with input loading utilities - Move InputConfig, InputFileType, InputReader, TextDocument, and file readers (CSV, JSON, JSONL, Text) - Add get_property utility for nested dictionary access with dot notation - Include hashing utility for document ID generation - Update all imports throughout codebase to use graphrag_input - Add package to workspace configuration and release tasks - Remove old graphrag.index.input module --- packages/graphrag-input/README.md | 36 ++++++++++++++++ .../graphrag-input/graphrag_input/__init__.py | 20 +++++++++ .../graphrag_input}/csv.py | 4 +- .../graphrag_input}/get_property.py | 0 .../graphrag-input/graphrag_input/hashing.py | 27 ++++++++++++ .../graphrag_input}/input_config.py | 19 ++++---- .../graphrag_input}/input_file_type.py | 0 .../graphrag_input}/input_reader.py | 2 +- .../graphrag_input}/input_reader_factory.py | 14 +++--- .../graphrag_input}/json.py | 4 +- .../graphrag_input}/jsonl.py | 8 ++-- .../graphrag_input}/structured_file_reader.py | 10 ++--- .../graphrag_input}/text.py | 6 +-- .../graphrag_input}/text_document.py | 2 +- packages/graphrag-input/pyproject.toml | 43 +++++++++++++++++++ packages/graphrag/graphrag/config/defaults.py | 2 +- .../config/models/graph_rag_config.py | 2 +- .../graphrag/graphrag/index/input/__init__.py | 4 -- .../index/workflows/create_base_text_units.py | 2 +- .../index/workflows/load_input_documents.py | 5 +-- .../index/workflows/load_update_documents.py | 4 +- .../graphrag/prompt_tune/loader/input.py | 2 +- packages/graphrag/pyproject.toml | 1 + pyproject.toml | 3 ++ tests/unit/config/utils.py | 2 +- tests/unit/indexing/input/test_csv_loader.py | 6 +-- tests/unit/indexing/input/test_json_loader.py | 4 +- .../unit/indexing/input/test_jsonl_loader.py | 4 +- .../unit/indexing/input/test_text_document.py | 2 +- tests/unit/indexing/input/test_txt_loader.py | 4 +- uv.lock | 20 +++++++++ 31 files changed, 196 insertions(+), 66 deletions(-) create mode 100644 packages/graphrag-input/README.md create mode 100644 packages/graphrag-input/graphrag_input/__init__.py rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/csv.py (84%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/get_property.py (100%) create mode 100644 packages/graphrag-input/graphrag_input/hashing.py rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/input_config.py (66%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/input_file_type.py (100%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/input_reader.py (97%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/input_reader_factory.py (84%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/json.py (86%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/jsonl.py (77%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/structured_file_reader.py (87%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/text.py (84%) rename packages/{graphrag/graphrag/index/input => graphrag-input/graphrag_input}/text_document.py (97%) create mode 100644 packages/graphrag-input/pyproject.toml delete mode 100644 packages/graphrag/graphrag/index/input/__init__.py diff --git a/packages/graphrag-input/README.md b/packages/graphrag-input/README.md new file mode 100644 index 0000000000..74c40a9255 --- /dev/null +++ b/packages/graphrag-input/README.md @@ -0,0 +1,36 @@ +# GraphRAG Inputs + +This package provides input document loading utilities for GraphRAG, supporting multiple file formats including CSV, JSON, JSON Lines, and plain text. + +## Supported File Types + +- **CSV** - Tabular data with configurable column mappings +- **JSON** - JSON files with configurable property paths +- **JSON Lines** - Line-delimited JSON records +- **Text** - Plain text files + +## Examples + +Basic usage with the factory: +```python +from graphrag_input import create_input_reader, InputConfig, InputFileType +from graphrag_storage import StorageConfig, create_storage + +config = InputConfig( + storage=StorageConfig(base_dir="./input"), + file_type=InputFileType.Csv, + text_column="content", + title_column="title", +) +storage = create_storage(config.storage) +reader = create_input_reader(config, storage) +documents = await reader.read_files() +``` + +Using dot notation for nested properties: +```python +from graphrag_input import get_property + +data = {"user": {"profile": {"name": "Alice"}}} +name = get_property(data, "user.profile.name") # Returns "Alice" +``` diff --git a/packages/graphrag-input/graphrag_input/__init__.py b/packages/graphrag-input/graphrag_input/__init__.py new file mode 100644 index 0000000000..4ed9048f85 --- /dev/null +++ b/packages/graphrag-input/graphrag_input/__init__.py @@ -0,0 +1,20 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG input document loading package.""" + +from graphrag_input.get_property import get_property +from graphrag_input.input_config import InputConfig +from graphrag_input.input_file_type import InputFileType +from graphrag_input.input_reader import InputReader +from graphrag_input.input_reader_factory import create_input_reader +from graphrag_input.text_document import TextDocument + +__all__ = [ + "InputConfig", + "InputFileType", + "InputReader", + "TextDocument", + "create_input_reader", + "get_property", +] diff --git a/packages/graphrag/graphrag/index/input/csv.py b/packages/graphrag-input/graphrag_input/csv.py similarity index 84% rename from packages/graphrag/graphrag/index/input/csv.py rename to packages/graphrag-input/graphrag_input/csv.py index e5830984a3..bcef1abe04 100644 --- a/packages/graphrag/graphrag/index/input/csv.py +++ b/packages/graphrag-input/graphrag_input/csv.py @@ -6,8 +6,8 @@ import csv import logging -from graphrag.index.input.structured_file_reader import StructuredFileReader -from graphrag.index.input.text_document import TextDocument +from graphrag_input.structured_file_reader import StructuredFileReader +from graphrag_input.text_document import TextDocument logger = logging.getLogger(__name__) diff --git a/packages/graphrag/graphrag/index/input/get_property.py b/packages/graphrag-input/graphrag_input/get_property.py similarity index 100% rename from packages/graphrag/graphrag/index/input/get_property.py rename to packages/graphrag-input/graphrag_input/get_property.py diff --git a/packages/graphrag-input/graphrag_input/hashing.py b/packages/graphrag-input/graphrag_input/hashing.py new file mode 100644 index 0000000000..915824cd9f --- /dev/null +++ b/packages/graphrag-input/graphrag_input/hashing.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Hashing utilities.""" + +from collections.abc import Iterable +from hashlib import sha512 +from typing import Any + + +def gen_sha512_hash(item: dict[str, Any], hashcode: Iterable[str]) -> str: + """Generate a SHA512 hash. + + Parameters + ---------- + item : dict[str, Any] + The dictionary containing values to hash. + hashcode : Iterable[str] + The keys to include in the hash. + + Returns + ------- + str + The SHA512 hash as a hexadecimal string. + """ + hashed = "".join([str(item[column]) for column in hashcode]) + return f"{sha512(hashed.encode('utf-8'), usedforsecurity=False).hexdigest()}" diff --git a/packages/graphrag/graphrag/index/input/input_config.py b/packages/graphrag-input/graphrag_input/input_config.py similarity index 66% rename from packages/graphrag/graphrag/index/input/input_config.py rename to packages/graphrag-input/graphrag_input/input_config.py index a378df1a01..0059e3f6ce 100644 --- a/packages/graphrag/graphrag/index/input/input_config.py +++ b/packages/graphrag-input/graphrag_input/input_config.py @@ -6,8 +6,7 @@ from graphrag_storage import StorageConfig from pydantic import BaseModel, ConfigDict, Field -import graphrag.config.defaults as defs -from graphrag.config.defaults import graphrag_config_defaults +from graphrag_input.input_file_type import InputFileType class InputConfig(BaseModel): @@ -18,31 +17,29 @@ class InputConfig(BaseModel): storage: StorageConfig = Field( description="The storage configuration to use for reading input documents.", - default=StorageConfig( - base_dir=graphrag_config_defaults.input.storage.base_dir, - ), + default_factory=lambda: StorageConfig(base_dir="input"), ) file_type: str = Field( description="The input file type to use.", - default=graphrag_config_defaults.input.file_type, + default=InputFileType.Text, ) encoding: str | None = Field( description="The input file encoding to use.", - default=defs.graphrag_config_defaults.input.encoding, + default=None, ) file_pattern: str | None = Field( description="The input file pattern to use.", - default=graphrag_config_defaults.input.file_pattern, + default=None, ) id_column: str | None = Field( description="The input ID column to use.", - default=graphrag_config_defaults.input.id_column, + default=None, ) title_column: str | None = Field( description="The input title column to use.", - default=graphrag_config_defaults.input.title_column, + default=None, ) text_column: str | None = Field( description="The input text column to use.", - default=graphrag_config_defaults.input.text_column, + default=None, ) diff --git a/packages/graphrag/graphrag/index/input/input_file_type.py b/packages/graphrag-input/graphrag_input/input_file_type.py similarity index 100% rename from packages/graphrag/graphrag/index/input/input_file_type.py rename to packages/graphrag-input/graphrag_input/input_file_type.py diff --git a/packages/graphrag/graphrag/index/input/input_reader.py b/packages/graphrag-input/graphrag_input/input_reader.py similarity index 97% rename from packages/graphrag/graphrag/index/input/input_reader.py rename to packages/graphrag-input/graphrag_input/input_reader.py index 246e768b06..3533608f66 100644 --- a/packages/graphrag/graphrag/index/input/input_reader.py +++ b/packages/graphrag-input/graphrag_input/input_reader.py @@ -13,7 +13,7 @@ if TYPE_CHECKING: from graphrag_storage import Storage - from graphrag.index.input.text_document import TextDocument + from graphrag_input.text_document import TextDocument logger = logging.getLogger(__name__) diff --git a/packages/graphrag/graphrag/index/input/input_reader_factory.py b/packages/graphrag-input/graphrag_input/input_reader_factory.py similarity index 84% rename from packages/graphrag/graphrag/index/input/input_reader_factory.py rename to packages/graphrag-input/graphrag_input/input_reader_factory.py index ccd16bf21c..4dd1bde78b 100644 --- a/packages/graphrag/graphrag/index/input/input_reader_factory.py +++ b/packages/graphrag-input/graphrag_input/input_reader_factory.py @@ -10,9 +10,9 @@ from graphrag_common.factory.factory import ServiceScope from graphrag_storage.storage import Storage -from graphrag.index.input.input_config import InputConfig -from graphrag.index.input.input_file_type import InputFileType -from graphrag.index.input.input_reader import InputReader +from graphrag_input.input_config import InputConfig +from graphrag_input.input_file_type import InputFileType +from graphrag_input.input_reader import InputReader logger = logging.getLogger(__name__) @@ -62,19 +62,19 @@ def create_input_reader(config: InputConfig, storage: Storage) -> InputReader: if input_strategy not in input_reader_factory: match input_strategy: case InputFileType.Csv: - from graphrag.index.input.csv import CSVFileReader + from graphrag_input.csv import CSVFileReader register_input_reader(InputFileType.Csv, CSVFileReader) case InputFileType.Text: - from graphrag.index.input.text import TextFileReader + from graphrag_input.text import TextFileReader register_input_reader(InputFileType.Text, TextFileReader) case InputFileType.Json: - from graphrag.index.input.json import JSONFileReader + from graphrag_input.json import JSONFileReader register_input_reader(InputFileType.Json, JSONFileReader) case InputFileType.JsonLines: - from graphrag.index.input.jsonl import JSONLinesFileReader + from graphrag_input.jsonl import JSONLinesFileReader register_input_reader(InputFileType.JsonLines, JSONLinesFileReader) case _: diff --git a/packages/graphrag/graphrag/index/input/json.py b/packages/graphrag-input/graphrag_input/json.py similarity index 86% rename from packages/graphrag/graphrag/index/input/json.py rename to packages/graphrag-input/graphrag_input/json.py index ef13b260fc..fbbd5defc8 100644 --- a/packages/graphrag/graphrag/index/input/json.py +++ b/packages/graphrag-input/graphrag_input/json.py @@ -6,8 +6,8 @@ import json import logging -from graphrag.index.input.structured_file_reader import StructuredFileReader -from graphrag.index.input.text_document import TextDocument +from graphrag_input.structured_file_reader import StructuredFileReader +from graphrag_input.text_document import TextDocument logger = logging.getLogger(__name__) diff --git a/packages/graphrag/graphrag/index/input/jsonl.py b/packages/graphrag-input/graphrag_input/jsonl.py similarity index 77% rename from packages/graphrag/graphrag/index/input/jsonl.py rename to packages/graphrag-input/graphrag_input/jsonl.py index a3a3a929a5..9fce1a6e1d 100644 --- a/packages/graphrag/graphrag/index/input/jsonl.py +++ b/packages/graphrag-input/graphrag_input/jsonl.py @@ -1,19 +1,19 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing 'JSONFileReader' model.""" +"""A module containing 'JSONLinesFileReader' model.""" import json import logging -from graphrag.index.input.structured_file_reader import StructuredFileReader -from graphrag.index.input.text_document import TextDocument +from graphrag_input.structured_file_reader import StructuredFileReader +from graphrag_input.text_document import TextDocument logger = logging.getLogger(__name__) class JSONLinesFileReader(StructuredFileReader): - """Reader implementation for json files.""" + """Reader implementation for json lines files.""" async def read_file(self, path: str) -> list[TextDocument]: """Read a JSON lines file into a list of documents. diff --git a/packages/graphrag/graphrag/index/input/structured_file_reader.py b/packages/graphrag-input/graphrag_input/structured_file_reader.py similarity index 87% rename from packages/graphrag/graphrag/index/input/structured_file_reader.py rename to packages/graphrag-input/graphrag_input/structured_file_reader.py index 14df809281..45628ff94d 100644 --- a/packages/graphrag/graphrag/index/input/structured_file_reader.py +++ b/packages/graphrag-input/graphrag_input/structured_file_reader.py @@ -1,15 +1,15 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing 'CSVFileReader' model.""" +"""A module containing 'StructuredFileReader' model.""" import logging from typing import Any -from graphrag.index.input.get_property import get_property -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.text_document import TextDocument -from graphrag.index.utils.hashing import gen_sha512_hash +from graphrag_input.get_property import get_property +from graphrag_input.hashing import gen_sha512_hash +from graphrag_input.input_reader import InputReader +from graphrag_input.text_document import TextDocument logger = logging.getLogger(__name__) diff --git a/packages/graphrag/graphrag/index/input/text.py b/packages/graphrag-input/graphrag_input/text.py similarity index 84% rename from packages/graphrag/graphrag/index/input/text.py rename to packages/graphrag-input/graphrag_input/text.py index d5d14e1c4a..2db71d43c3 100644 --- a/packages/graphrag/graphrag/index/input/text.py +++ b/packages/graphrag-input/graphrag_input/text.py @@ -6,9 +6,9 @@ import logging from pathlib import Path -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.text_document import TextDocument -from graphrag.index.utils.hashing import gen_sha512_hash +from graphrag_input.hashing import gen_sha512_hash +from graphrag_input.input_reader import InputReader +from graphrag_input.text_document import TextDocument logger = logging.getLogger(__name__) diff --git a/packages/graphrag/graphrag/index/input/text_document.py b/packages/graphrag-input/graphrag_input/text_document.py similarity index 97% rename from packages/graphrag/graphrag/index/input/text_document.py rename to packages/graphrag-input/graphrag_input/text_document.py index 472d36ec08..67b2286a32 100644 --- a/packages/graphrag/graphrag/index/input/text_document.py +++ b/packages/graphrag-input/graphrag_input/text_document.py @@ -7,7 +7,7 @@ from dataclasses import dataclass from typing import Any -from graphrag.index.input.get_property import get_property +from graphrag_input.get_property import get_property logger = logging.getLogger(__name__) diff --git a/packages/graphrag-input/pyproject.toml b/packages/graphrag-input/pyproject.toml new file mode 100644 index 0000000000..36914a2cff --- /dev/null +++ b/packages/graphrag-input/pyproject.toml @@ -0,0 +1,43 @@ +[project] +name = "graphrag-input" +version = "2.7.0" +description = "Input document loading utilities for GraphRAG" +authors = [ + {name = "Alonso Guevara Fernández", email = "alonsog@microsoft.com"}, + {name = "Andrés Morales Esquivel", email = "andresmor@microsoft.com"}, + {name = "Chris Trevino", email = "chtrevin@microsoft.com"}, + {name = "David Tittsworth", email = "datittsw@microsoft.com"}, + {name = "Dayenne de Souza", email = "ddesouza@microsoft.com"}, + {name = "Derek Worthen", email = "deworthe@microsoft.com"}, + {name = "Gaudy Blanco Meneses", email = "gaudyb@microsoft.com"}, + {name = "Ha Trinh", email = "trinhha@microsoft.com"}, + {name = "Jonathan Larson", email = "jolarso@microsoft.com"}, + {name = "Josh Bradley", email = "joshbradley@microsoft.com"}, + {name = "Kate Lytvynets", email = "kalytv@microsoft.com"}, + {name = "Kenny Zhang", email = "zhangken@microsoft.com"}, + {name = "Mónica Carvajal"}, + {name = "Nathan Evans", email = "naevans@microsoft.com"}, + {name = "Rodrigo Racanicci", email = "rracanicci@microsoft.com"}, + {name = "Sarah Smith", email = "smithsarah@microsoft.com"}, +] +license = {text = "MIT"} +readme = "README.md" +requires-python = ">=3.11,<3.14" +classifiers = [ + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", +] +dependencies = [ + "graphrag-common==2.7.0", + "graphrag-storage==2.7.0", + "pydantic~=2.10", +] + +[project.urls] +Source = "https://github.com/microsoft/graphrag" + +[build-system] +requires = ["hatchling>=1.27.0,<2.0.0"] +build-backend = "hatchling.build" diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index dc2a857c78..6fbd94e1df 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -9,6 +9,7 @@ from graphrag_cache import CacheType from graphrag_chunking.chunk_strategy_type import ChunkerType +from graphrag_input import InputFileType from graphrag_storage import StorageType from graphrag.config.embeddings import default_embeddings @@ -20,7 +21,6 @@ ReportingType, VectorStoreType, ) -from graphrag.index.input.input_file_type import InputFileType from graphrag.index.operations.build_noun_graph.np_extractors.stop_words import ( EN_STOP_WORDS, ) diff --git a/packages/graphrag/graphrag/config/models/graph_rag_config.py b/packages/graphrag/graphrag/config/models/graph_rag_config.py index ca00eb7327..a856d233ab 100644 --- a/packages/graphrag/graphrag/config/models/graph_rag_config.py +++ b/packages/graphrag/graphrag/config/models/graph_rag_config.py @@ -9,6 +9,7 @@ from devtools import pformat from graphrag_cache import CacheConfig from graphrag_chunking.chunking_config import ChunkingConfig +from graphrag_input import InputConfig from graphrag_storage import StorageConfig, StorageType from pydantic import BaseModel, Field, model_validator @@ -32,7 +33,6 @@ SummarizeDescriptionsConfig, ) from graphrag.config.models.vector_store_config import VectorStoreConfig -from graphrag.index.input.input_config import InputConfig from graphrag.language_model.providers.litellm.services.rate_limiter.rate_limiter_factory import ( RateLimiterFactory, ) diff --git a/packages/graphrag/graphrag/index/input/__init__.py b/packages/graphrag/graphrag/index/input/__init__.py deleted file mode 100644 index 15177c91db..0000000000 --- a/packages/graphrag/graphrag/index/input/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine input package root.""" diff --git a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py index df933b521c..0723327b7a 100644 --- a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py +++ b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py @@ -10,10 +10,10 @@ from graphrag_chunking.add_metadata import add_metadata from graphrag_chunking.chunker import Chunker from graphrag_chunking.chunker_factory import create_chunker +from graphrag_input import TextDocument from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.text_document import TextDocument from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.index.utils.hashing import gen_sha512_hash diff --git a/packages/graphrag/graphrag/index/workflows/load_input_documents.py b/packages/graphrag/graphrag/index/workflows/load_input_documents.py index 55f503a941..1fa01827e6 100644 --- a/packages/graphrag/graphrag/index/workflows/load_input_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_input_documents.py @@ -6,12 +6,9 @@ import logging import pandas as pd +from graphrag_input import InputReader, create_input_reader from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.input_reader_factory import ( - create_input_reader, -) from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import write_table_to_storage diff --git a/packages/graphrag/graphrag/index/workflows/load_update_documents.py b/packages/graphrag/graphrag/index/workflows/load_update_documents.py index 4ccd96548b..1cab6cabfe 100644 --- a/packages/graphrag/graphrag/index/workflows/load_update_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_update_documents.py @@ -6,11 +6,11 @@ import logging import pandas as pd +from graphrag_input.input_reader import InputReader +from graphrag_input.input_reader_factory import create_input_reader from graphrag_storage import Storage from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.input_reader import InputReader -from graphrag.index.input.input_reader_factory import create_input_reader from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.index.update.incremental_index import get_delta_docs diff --git a/packages/graphrag/graphrag/prompt_tune/loader/input.py b/packages/graphrag/graphrag/prompt_tune/loader/input.py index 46a956793c..edda2457e3 100644 --- a/packages/graphrag/graphrag/prompt_tune/loader/input.py +++ b/packages/graphrag/graphrag/prompt_tune/loader/input.py @@ -10,11 +10,11 @@ import pandas as pd from graphrag_cache.noop_cache import NoopCache from graphrag_chunking.chunker_factory import create_chunker +from graphrag_input import create_input_reader from graphrag_storage import create_storage from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input.input_reader_factory import create_input_reader from graphrag.index.operations.embed_text.run_embed_text import ( run_embed_text, ) diff --git a/packages/graphrag/pyproject.toml b/packages/graphrag/pyproject.toml index 5c2cb687d7..769634bcb3 100644 --- a/packages/graphrag/pyproject.toml +++ b/packages/graphrag/pyproject.toml @@ -41,6 +41,7 @@ dependencies = [ "environs~=11.0", "graphrag-cache==2.7.0", "graphrag-common==2.7.0", + "graphrag-input==2.7.0", "graphrag-storage==2.7.0", "graspologic-native~=1.2", "json-repair~=0.30", diff --git a/pyproject.toml b/pyproject.toml index 1f4ab1d8c7..b2ec49f4c1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,6 +55,7 @@ members = ["packages/*"] [tool.uv.sources] graphrag-chunking = { workspace = true } graphrag-common = { workspace = true } +graphrag-input = { workspace = true } graphrag-storage = { workspace = true } graphrag-cache = { workspace = true } @@ -75,6 +76,7 @@ _semversioner_update_graphrag_chunking_toml_version = "update-toml update --file _semversioner_update_graphrag_common_toml_version = "update-toml update --file packages/graphrag-common/pyproject.toml --path project.version --value $(uv run semversioner current-version)" _semversioner_update_graphrag_storage_toml_version = "update-toml update --file packages/graphrag-storage/pyproject.toml --path project.version --value $(uv run semversioner current-version)" _semversioner_update_graphrag_cache_toml_version = "update-toml update --file packages/graphrag-cache/pyproject.toml --path project.version --value $(uv run semversioner current-version)" +_semversioner_update_graphrag_input_toml_version = "update-toml update --file packages/graphrag-input/pyproject.toml --path project.version --value $(uv run semversioner current-version)" _semversioner_update_workspace_dependency_versions = "python -m scripts.update_workspace_dependency_versions" semversioner_add = "semversioner add-change" coverage_report = 'coverage report --omit "**/tests/**" --show-missing' @@ -110,6 +112,7 @@ sequence = [ '_semversioner_update_graphrag_toml_version', '_semversioner_update_graphrag_common_toml_version', '_semversioner_update_graphrag_chunking_toml_version', + '_semversioner_update_graphrag_input_toml_version', '_semversioner_update_graphrag_storage_toml_version', '_semversioner_update_graphrag_cache_toml_version', '_semversioner_update_workspace_dependency_versions', diff --git a/tests/unit/config/utils.py b/tests/unit/config/utils.py index b54e465dd4..3b4cfea0bc 100644 --- a/tests/unit/config/utils.py +++ b/tests/unit/config/utils.py @@ -26,9 +26,9 @@ SummarizeDescriptionsConfig, ) from graphrag.config.models.vector_store_config import VectorStoreConfig -from graphrag.index.input.input_config import InputConfig from graphrag_cache import CacheConfig from graphrag_chunking.chunking_config import ChunkingConfig +from graphrag_input import InputConfig from graphrag_storage import StorageConfig from pydantic import BaseModel diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index fba94d6196..b57d6e7fa3 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -1,11 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.index.input.input_config import InputConfig -from graphrag.index.input.input_file_type import InputFileType -from graphrag.index.input.input_reader_factory import ( - create_input_reader, -) +from graphrag_input import InputConfig, InputFileType, create_input_reader from graphrag_storage import StorageConfig, create_storage diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index d8fc2b9512..b70228e739 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -1,9 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.index.input.input_config import InputConfig -from graphrag.index.input.input_file_type import InputFileType -from graphrag.index.input.input_reader_factory import create_input_reader +from graphrag_input import InputConfig, InputFileType, create_input_reader from graphrag_storage import StorageConfig, create_storage diff --git a/tests/unit/indexing/input/test_jsonl_loader.py b/tests/unit/indexing/input/test_jsonl_loader.py index 3293693875..81deaa8b52 100644 --- a/tests/unit/indexing/input/test_jsonl_loader.py +++ b/tests/unit/indexing/input/test_jsonl_loader.py @@ -1,9 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.index.input.input_config import InputConfig -from graphrag.index.input.input_file_type import InputFileType -from graphrag.index.input.input_reader_factory import create_input_reader +from graphrag_input import InputConfig, InputFileType, create_input_reader from graphrag_storage import StorageConfig, create_storage diff --git a/tests/unit/indexing/input/test_text_document.py b/tests/unit/indexing/input/test_text_document.py index 6d1ff877c0..d71c515bf5 100644 --- a/tests/unit/indexing/input/test_text_document.py +++ b/tests/unit/indexing/input/test_text_document.py @@ -2,7 +2,7 @@ # Licensed under the MIT License import pytest -from graphrag.index.input.get_property import get_property +from graphrag_input import get_property def test_get_property_single_level(): diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_txt_loader.py index 0190876c65..f649d60841 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_txt_loader.py @@ -1,9 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.index.input.input_config import InputConfig -from graphrag.index.input.input_file_type import InputFileType -from graphrag.index.input.input_reader_factory import create_input_reader +from graphrag_input import InputConfig, InputFileType, create_input_reader from graphrag_storage import StorageConfig, create_storage diff --git a/uv.lock b/uv.lock index 94c8626cc5..95da3c7031 100644 --- a/uv.lock +++ b/uv.lock @@ -12,6 +12,7 @@ members = [ "graphrag-cache", "graphrag-chunking", "graphrag-common", + "graphrag-input", "graphrag-monorepo", "graphrag-storage", ] @@ -854,6 +855,7 @@ dependencies = [ { name = "fastuuid" }, { name = "graphrag-cache" }, { name = "graphrag-common" }, + { name = "graphrag-input" }, { name = "graphrag-storage" }, { name = "graspologic-native" }, { name = "json-repair" }, @@ -887,6 +889,7 @@ requires-dist = [ { name = "fastuuid", specifier = "~=0.13" }, { name = "graphrag-cache", editable = "packages/graphrag-cache" }, { name = "graphrag-common", editable = "packages/graphrag-common" }, + { name = "graphrag-input", editable = "packages/graphrag-input" }, { name = "graphrag-storage", editable = "packages/graphrag-storage" }, { name = "graspologic-native", specifier = "~=1.2" }, { name = "json-repair", specifier = "~=0.30" }, @@ -952,6 +955,23 @@ requires-dist = [ { name = "pyyaml", specifier = "~=6.0" }, ] +[[package]] +name = "graphrag-input" +version = "2.7.0" +source = { editable = "packages/graphrag-input" } +dependencies = [ + { name = "graphrag-common" }, + { name = "graphrag-storage" }, + { name = "pydantic" }, +] + +[package.metadata] +requires-dist = [ + { name = "graphrag-common", editable = "packages/graphrag-common" }, + { name = "graphrag-storage", editable = "packages/graphrag-storage" }, + { name = "pydantic", specifier = "~=2.10" }, +] + [[package]] name = "graphrag-monorepo" version = "0.0.0" From 39125b2b132aa62fae815afc8bee7917abbff319 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Wed, 7 Jan 2026 17:43:34 -0800 Subject: [PATCH 18/30] Rename ChunkResult to TextChunk and add transformer support - Rename chunk_result.py to text_chunk.py with ChunkResult -> TextChunk - Add 'original' field to TextChunk to track pre-transform text - Add optional transform callback to chunker.chunk() method - Add add_metadata transformer for prepending metadata to chunks - Update create_chunk_results to apply transforms and populate original - Update sentence_chunker and token_chunker with transform support - Refactor create_base_text_units to use new transformer pattern - Rename pluck_metadata to get/collect methods on TextDocument --- .../graphrag_chunking/add_metadata.py | 19 ---------- .../graphrag_chunking/chunk_result.py | 17 --------- .../graphrag_chunking/chunker.py | 7 +++- .../graphrag_chunking/create_chunk_results.py | 16 ++++---- .../graphrag_chunking/sentence_chunker.py | 10 +++-- .../graphrag_chunking/text_chunk.py | 29 ++++++++++++++ .../graphrag_chunking/token_chunker.py | 8 ++-- .../graphrag_chunking/transformers.py | 25 ++++++++++++ .../graphrag_input/text_document.py | 38 +++++++++++-------- .../index/workflows/create_base_text_units.py | 20 +++++----- tests/unit/chunking/test_prepend_metadata.py | 17 +++++---- 11 files changed, 122 insertions(+), 84 deletions(-) delete mode 100644 packages/graphrag-chunking/graphrag_chunking/add_metadata.py delete mode 100644 packages/graphrag-chunking/graphrag_chunking/chunk_result.py create mode 100644 packages/graphrag-chunking/graphrag_chunking/text_chunk.py create mode 100644 packages/graphrag-chunking/graphrag_chunking/transformers.py diff --git a/packages/graphrag-chunking/graphrag_chunking/add_metadata.py b/packages/graphrag-chunking/graphrag_chunking/add_metadata.py deleted file mode 100644 index 79203b3ce4..0000000000 --- a/packages/graphrag-chunking/graphrag_chunking/add_metadata.py +++ /dev/null @@ -1,19 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing 'add_metadata' function.""" - - -def add_metadata( - text: str, - metadata: dict, - delimiter: str = ": ", - line_delimiter: str = "\n", - append: bool = False, -) -> str: - """Add metadata to the given text, prepending by default. This utility writes the dict as rows of key/value pairs.""" - metadata_str = ( - line_delimiter.join(f"{k}{delimiter}{v}" for k, v in metadata.items()) - + line_delimiter - ) - return text + metadata_str if append else metadata_str + text diff --git a/packages/graphrag-chunking/graphrag_chunking/chunk_result.py b/packages/graphrag-chunking/graphrag_chunking/chunk_result.py deleted file mode 100644 index d9b3177511..0000000000 --- a/packages/graphrag-chunking/graphrag_chunking/chunk_result.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The ChunkResult dataclass.""" - -from dataclasses import dataclass - - -@dataclass -class ChunkResult: - """Result of chunking a document.""" - - text: str - index: int - start_char: int - end_char: int - token_count: int | None = None diff --git a/packages/graphrag-chunking/graphrag_chunking/chunker.py b/packages/graphrag-chunking/graphrag_chunking/chunker.py index 552b28a8a8..3e44ce46f4 100644 --- a/packages/graphrag-chunking/graphrag_chunking/chunker.py +++ b/packages/graphrag-chunking/graphrag_chunking/chunker.py @@ -4,9 +4,10 @@ """A module containing the 'Chunker' class.""" from abc import ABC, abstractmethod +from collections.abc import Callable from typing import Any -from graphrag_chunking.chunk_result import ChunkResult +from graphrag_chunking.text_chunk import TextChunk class Chunker(ABC): @@ -17,5 +18,7 @@ def __init__(self, **kwargs: Any) -> None: """Create a chunker instance.""" @abstractmethod - def chunk(self, text: str) -> list[ChunkResult]: + def chunk( + self, text: str, transform: Callable[[str], str] | None = None + ) -> list[TextChunk]: """Chunk method definition.""" diff --git a/packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py b/packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py index 3eb15befff..780de6a0bc 100644 --- a/packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py +++ b/packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py @@ -5,26 +5,28 @@ from collections.abc import Callable -from graphrag_chunking.chunk_result import ChunkResult +from graphrag_chunking.text_chunk import TextChunk def create_chunk_results( chunks: list[str], + transform: Callable[[str], str] | None = None, encode: Callable[[str], list[int]] | None = None, -) -> list[ChunkResult]: - """Create chunk results from a list of text chunks. The index assignments are 0-based and assume chunks we not stripped relative to the source text.""" +) -> list[TextChunk]: + """Create chunk results from a list of text chunks. The index assignments are 0-based and assume chunks were not stripped relative to the source text.""" results = [] start_char = 0 for index, chunk in enumerate(chunks): end_char = start_char + len(chunk) - 1 # 0-based indices - chunk = ChunkResult( - text=chunk, + result = TextChunk( + original=chunk, + text=transform(chunk) if transform else chunk, index=index, start_char=start_char, end_char=end_char, ) if encode: - chunk.token_count = len(encode(chunk.text)) - results.append(chunk) + result.token_count = len(encode(result.text)) + results.append(result) start_char = end_char + 1 return results diff --git a/packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py b/packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py index 91e68ccaf2..42d8a9a211 100644 --- a/packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py +++ b/packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py @@ -9,9 +9,9 @@ import nltk from graphrag_chunking.bootstrap_nltk import bootstrap -from graphrag_chunking.chunk_result import ChunkResult from graphrag_chunking.chunker import Chunker from graphrag_chunking.create_chunk_results import create_chunk_results +from graphrag_chunking.text_chunk import TextChunk class SentenceChunker(Chunker): @@ -24,10 +24,14 @@ def __init__( self._encode = encode bootstrap() - def chunk(self, text) -> list[ChunkResult]: + def chunk( + self, text: str, transform: Callable[[str], str] | None = None + ) -> list[TextChunk]: """Chunk the text into sentence-based chunks.""" sentences = nltk.sent_tokenize(text.strip()) - results = create_chunk_results(sentences, encode=self._encode) + results = create_chunk_results( + sentences, transform=transform, encode=self._encode + ) # nltk sentence tokenizer may trim whitespace, so we need to adjust start/end chars for index, result in enumerate(results): txt = result.text diff --git a/packages/graphrag-chunking/graphrag_chunking/text_chunk.py b/packages/graphrag-chunking/graphrag_chunking/text_chunk.py new file mode 100644 index 0000000000..876832f734 --- /dev/null +++ b/packages/graphrag-chunking/graphrag_chunking/text_chunk.py @@ -0,0 +1,29 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The TextChunk dataclass.""" + +from dataclasses import dataclass + + +@dataclass +class TextChunk: + """Result of chunking a document.""" + + original: str + """Raw original text chunk before any transformation.""" + + text: str + """The final text content of this chunk.""" + + index: int + """Zero-based index of this chunk within the source document.""" + + start_char: int + """Character index where the raw chunk text begins in the source document.""" + + end_char: int + """Character index where the raw chunk text ends in the source document.""" + + token_count: int | None = None + """Number of tokens in the final chunk text, if computed.""" diff --git a/packages/graphrag-chunking/graphrag_chunking/token_chunker.py b/packages/graphrag-chunking/graphrag_chunking/token_chunker.py index 9a5e8ecfb0..41921a0415 100644 --- a/packages/graphrag-chunking/graphrag_chunking/token_chunker.py +++ b/packages/graphrag-chunking/graphrag_chunking/token_chunker.py @@ -6,9 +6,9 @@ from collections.abc import Callable from typing import Any -from graphrag_chunking.chunk_result import ChunkResult from graphrag_chunking.chunker import Chunker from graphrag_chunking.create_chunk_results import create_chunk_results +from graphrag_chunking.text_chunk import TextChunk class TokenChunker(Chunker): @@ -28,7 +28,9 @@ def __init__( self._encode = encode self._decode = decode - def chunk(self, text: str) -> list[ChunkResult]: + def chunk( + self, text: str, transform: Callable[[str], str] | None = None + ) -> list[TextChunk]: """Chunk the text into token-based chunks.""" chunks = split_text_on_tokens( text, @@ -37,7 +39,7 @@ def chunk(self, text: str) -> list[ChunkResult]: encode=self._encode, decode=self._decode, ) - return create_chunk_results(chunks, encode=self._encode) + return create_chunk_results(chunks, transform=transform, encode=self._encode) def split_text_on_tokens( diff --git a/packages/graphrag-chunking/graphrag_chunking/transformers.py b/packages/graphrag-chunking/graphrag_chunking/transformers.py new file mode 100644 index 0000000000..5d6f11e0e6 --- /dev/null +++ b/packages/graphrag-chunking/graphrag_chunking/transformers.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A collection of useful built-in transformers you can use for chunking.""" + +from collections.abc import Callable +from typing import Any + + +def add_metadata( + metadata: dict[str, Any], + delimiter: str = ": ", + line_delimiter: str = "\n", + append: bool = False, +) -> Callable[[str], str]: + """Add metadata to the given text, prepending by default. This utility writes the dict as rows of key/value pairs.""" + + def transformer(text: str) -> str: + metadata_str = ( + line_delimiter.join(f"{k}{delimiter}{v}" for k, v in metadata.items()) + + line_delimiter + ) + return text + metadata_str if append else metadata_str + text + + return transformer diff --git a/packages/graphrag-input/graphrag_input/text_document.py b/packages/graphrag-input/graphrag_input/text_document.py index 67b2286a32..a771f30d43 100644 --- a/packages/graphrag-input/graphrag_input/text_document.py +++ b/packages/graphrag-input/graphrag_input/text_document.py @@ -27,27 +27,33 @@ class TextDocument: raw_data: dict[str, Any] | None = None """Raw data from source document.""" - def pluck_metadata(self, fields: list[str]) -> dict[str, Any]: - """Extract metadata fields from a TextDocument. + def get(self, field: str, default_value: Any = None) -> Any: + """ + Get a single field from the TextDocument. + + Functions like the get method on a dictionary, returning default_value if the field is not found. + + Supports nested fields using dot notation. This takes a two step approach for flexibility: 1. If the field is one of the standard text document fields (id, title, text, creation_date), just grab it directly. This accommodates unstructured text for example, which just has the standard fields. 2. Otherwise. try to extract it from the raw_data dict. This allows users to specify any column from the original input file. - If a field does not exist in either location, we'll throw because that means the user config is incorrect. """ - metadata = {} + if field in ["id", "title", "text", "creation_date"]: + return getattr(self, field) + + raw = self.raw_data or {} + try: + return get_property(raw, field) + except KeyError: + return default_value + + def collect(self, fields: list[str]) -> dict[str, Any]: + """Extract data fields from a TextDocument into a dict.""" + data = {} for field in fields: - if field in ["id", "title", "text", "creation_date"]: - value = getattr(self, field) - else: - raw = self.raw_data or {} - value = get_property(raw, field) - if value is None: - logger.warning( - "Metadata field '%s' not found in TextDocument standard fields or raw_data. Please check your configuration.", - field, - ) + value = self.get(field) if value is not None: - metadata[field] = value - return metadata + data[field] = value + return data diff --git a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py index 0723327b7a..c14129b47f 100644 --- a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py +++ b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py @@ -7,9 +7,9 @@ from typing import Any, cast import pandas as pd -from graphrag_chunking.add_metadata import add_metadata from graphrag_chunking.chunker import Chunker from graphrag_chunking.chunker_factory import create_chunker +from graphrag_chunking.transformers import add_metadata from graphrag_input import TextDocument from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks @@ -66,8 +66,6 @@ def create_base_text_units( logger.info("Starting chunking process for %d documents", total_rows) def chunker_with_logging(row: pd.Series, row_index: int) -> Any: - row["chunks"] = [chunk.text for chunk in chunker.chunk(row["text"])] - if prepend_metadata: # create a standard text document for metadata plucking # ignore any additional fields in case the input dataframe has extra columns @@ -76,13 +74,17 @@ def chunker_with_logging(row: pd.Series, row_index: int) -> Any: title=row["title"], text=row["text"], creation_date=row["creation_date"], - raw_data=row.get("raw_data", None), + raw_data=row["raw_data"], ) - metadata = document.pluck_metadata(prepend_metadata) - row["chunks"] = [ - add_metadata(chunk, metadata, line_delimiter=".\n") - for chunk in row["chunks"] - ] + metadata = document.collect(prepend_metadata) + transformer = add_metadata(metadata=metadata, line_delimiter=".\n") # delim with . for back-compat older indexes + else: + transformer = None + + row["chunks"] = [ + chunk.text for chunk in chunker.chunk(row["text"], transform=transformer) + ] + tick() logger.info("chunker progress: %d/%d", row_index + 1, total_rows) return row diff --git a/tests/unit/chunking/test_prepend_metadata.py b/tests/unit/chunking/test_prepend_metadata.py index 99f99c3093..74f5a698e5 100644 --- a/tests/unit/chunking/test_prepend_metadata.py +++ b/tests/unit/chunking/test_prepend_metadata.py @@ -1,14 +1,15 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag_chunking.add_metadata import add_metadata +from graphrag_chunking.transformers import add_metadata def test_add_metadata_one_row(): """Test prepending metadata to chunks""" chunks = ["This is a test.", "Another sentence."] metadata = {"message": "hello"} - results = [add_metadata(chunk, metadata) for chunk in chunks] + transformer = add_metadata(metadata) + results = [transformer(chunk) for chunk in chunks] assert results[0] == "message: hello\nThis is a test." assert results[1] == "message: hello\nAnother sentence." @@ -17,7 +18,8 @@ def test_add_metadata_one_row_append(): """Test prepending metadata to chunks""" chunks = ["This is a test.", "Another sentence."] metadata = {"message": "hello"} - results = [add_metadata(chunk, metadata, append=True) for chunk in chunks] + transformer = add_metadata(metadata, append=True) + results = [transformer(chunk) for chunk in chunks] assert results[0] == "This is a test.message: hello\n" assert results[1] == "Another sentence.message: hello\n" @@ -26,7 +28,8 @@ def test_add_metadata_multiple_rows(): """Test prepending metadata to chunks""" chunks = ["This is a test.", "Another sentence."] metadata = {"message": "hello", "tag": "first"} - results = [add_metadata(chunk, metadata) for chunk in chunks] + transformer = add_metadata(metadata) + results = [transformer(chunk) for chunk in chunks] assert results[0] == "message: hello\ntag: first\nThis is a test." assert results[1] == "message: hello\ntag: first\nAnother sentence." @@ -35,9 +38,7 @@ def test_add_metadata_custom_delimiters(): """Test prepending metadata to chunks""" chunks = ["This is a test.", "Another sentence."] metadata = {"message": "hello", "tag": "first"} - results = [ - add_metadata(chunk, metadata, delimiter="-", line_delimiter="_") - for chunk in chunks - ] + transformer = add_metadata(metadata, delimiter="-", line_delimiter="_") + results = [transformer(chunk) for chunk in chunks] assert results[0] == "message-hello_tag-first_This is a test." assert results[1] == "message-hello_tag-first_Another sentence." From 2f6d075b9758dcb9baefa508537a912ad2de15d3 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Thu, 8 Jan 2026 12:13:11 -0800 Subject: [PATCH 19/30] Back-compat comment --- .../graphrag/index/workflows/create_base_text_units.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py index c14129b47f..1b1d9b48a9 100644 --- a/packages/graphrag/graphrag/index/workflows/create_base_text_units.py +++ b/packages/graphrag/graphrag/index/workflows/create_base_text_units.py @@ -77,7 +77,9 @@ def chunker_with_logging(row: pd.Series, row_index: int) -> Any: raw_data=row["raw_data"], ) metadata = document.collect(prepend_metadata) - transformer = add_metadata(metadata=metadata, line_delimiter=".\n") # delim with . for back-compat older indexes + transformer = add_metadata( + metadata=metadata, line_delimiter=".\n" + ) # delim with . for back-compat older indexes else: transformer = None From a671aa4fe478354014e3599e35624d9aacb2ed9a Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Thu, 8 Jan 2026 15:41:28 -0800 Subject: [PATCH 20/30] Align input config type name with other factory configs --- docs/config/yaml.md | 4 ++-- docs/index/inputs.md | 4 ++-- packages/graphrag-input/README.md | 4 ++-- .../graphrag-input/graphrag_input/__init__.py | 4 ++-- packages/graphrag-input/graphrag_input/csv.py | 6 +++++ .../graphrag_input/input_config.py | 6 ++--- .../graphrag_input/input_reader.py | 19 ++++------------ .../graphrag_input/input_reader_factory.py | 22 +++++++++---------- .../{input_file_type.py => input_type.py} | 2 +- .../graphrag-input/graphrag_input/json.py | 6 +++++ .../graphrag-input/graphrag_input/jsonl.py | 6 +++++ .../graphrag-input/graphrag_input/text.py | 6 +++++ packages/graphrag/graphrag/config/defaults.py | 4 ++-- .../graphrag/graphrag/config/init_content.py | 2 +- tests/fixtures/azure/config.json | 2 +- tests/fixtures/azure/settings.yml | 2 +- tests/fixtures/min-csv/config.json | 2 +- tests/fixtures/min-csv/settings.yml | 2 +- tests/fixtures/text/config.json | 2 +- tests/smoke/test_fixtures.py | 6 ++--- tests/unit/config/utils.py | 2 +- tests/unit/indexing/input/test_csv_loader.py | 8 +++---- tests/unit/indexing/input/test_json_loader.py | 10 ++++----- .../unit/indexing/input/test_jsonl_loader.py | 6 ++--- tests/unit/indexing/input/test_txt_loader.py | 6 ++--- 25 files changed, 78 insertions(+), 65 deletions(-) rename packages/graphrag-input/graphrag_input/{input_file_type.py => input_type.py} (94%) diff --git a/docs/config/yaml.md b/docs/config/yaml.md index 10973fd211..1885db1fe5 100644 --- a/docs/config/yaml.md +++ b/docs/config/yaml.md @@ -87,9 +87,9 @@ Our pipeline can ingest .csv, .txt, or .json data from an input location. See th - `container_name` **str** - (blob/cosmosdb only) The Azure Storage container name. - `storage_account_blob_url` **str** - (blob only) The storage account blob URL to use. - `cosmosdb_account_blob_url` **str** - (cosmosdb only) The CosmosDB account blob URL to use. -- `file_type` **text|csv|json** - The type of input data to load. Default is `text` +- `type` **text|csv|json** - The type of input data to load. Default is `text` - `encoding` **str** - The encoding of the input file. Default is `utf-8` -- `file_pattern` **str** - A regex to match input files. Default is `.*\.csv$`, `.*\.txt$`, or `.*\.json$` depending on the specified `file_type`, but you can customize it if needed. +- `file_pattern` **str** - A regex to match input files. Default is `.*\.csv$`, `.*\.txt$`, or `.*\.json$` depending on the specified `type`, but you can customize it if needed. - `text_column` **str** - (CSV/JSON only) The text column name. If unset we expect a column named `text`. - `title_column` **str** - (CSV/JSON only) The title column name, filename will be used if unset. - `metadata` **list[str]** - (CSV/JSON only) The additional document attributes fields to keep. diff --git a/docs/index/inputs.md b/docs/index/inputs.md index 7f34370a70..458306bf49 100644 --- a/docs/index/inputs.md +++ b/docs/index/inputs.md @@ -116,7 +116,7 @@ settings.yaml ```yaml input: - file_type: text + type: text metadata: [title] chunks: @@ -194,7 +194,7 @@ settings.yaml ```yaml input: - file_type: json + type: json title_column: headline text_column: content diff --git a/packages/graphrag-input/README.md b/packages/graphrag-input/README.md index 74c40a9255..35ab13e18d 100644 --- a/packages/graphrag-input/README.md +++ b/packages/graphrag-input/README.md @@ -13,12 +13,12 @@ This package provides input document loading utilities for GraphRAG, supporting Basic usage with the factory: ```python -from graphrag_input import create_input_reader, InputConfig, InputFileType +from graphrag_input import create_input_reader, InputConfig, InputType from graphrag_storage import StorageConfig, create_storage config = InputConfig( storage=StorageConfig(base_dir="./input"), - file_type=InputFileType.Csv, + type=InputType.Csv, text_column="content", title_column="title", ) diff --git a/packages/graphrag-input/graphrag_input/__init__.py b/packages/graphrag-input/graphrag_input/__init__.py index 4ed9048f85..e742d7f06b 100644 --- a/packages/graphrag-input/graphrag_input/__init__.py +++ b/packages/graphrag-input/graphrag_input/__init__.py @@ -5,15 +5,15 @@ from graphrag_input.get_property import get_property from graphrag_input.input_config import InputConfig -from graphrag_input.input_file_type import InputFileType from graphrag_input.input_reader import InputReader from graphrag_input.input_reader_factory import create_input_reader +from graphrag_input.input_type import InputType from graphrag_input.text_document import TextDocument __all__ = [ "InputConfig", - "InputFileType", "InputReader", + "InputType", "TextDocument", "create_input_reader", "get_property", diff --git a/packages/graphrag-input/graphrag_input/csv.py b/packages/graphrag-input/graphrag_input/csv.py index bcef1abe04..22c8f180b2 100644 --- a/packages/graphrag-input/graphrag_input/csv.py +++ b/packages/graphrag-input/graphrag_input/csv.py @@ -15,6 +15,12 @@ class CSVFileReader(StructuredFileReader): """Reader implementation for csv files.""" + def __init__(self, file_pattern: str | None = None, **kwargs): + super().__init__( + file_pattern=file_pattern if file_pattern is not None else ".*\\.csv$", + **kwargs, + ) + async def read_file(self, path: str) -> list[TextDocument]: """Read a csv file into a list of documents. diff --git a/packages/graphrag-input/graphrag_input/input_config.py b/packages/graphrag-input/graphrag_input/input_config.py index 0059e3f6ce..0d6c25a896 100644 --- a/packages/graphrag-input/graphrag_input/input_config.py +++ b/packages/graphrag-input/graphrag_input/input_config.py @@ -6,7 +6,7 @@ from graphrag_storage import StorageConfig from pydantic import BaseModel, ConfigDict, Field -from graphrag_input.input_file_type import InputFileType +from graphrag_input.input_type import InputType class InputConfig(BaseModel): @@ -19,9 +19,9 @@ class InputConfig(BaseModel): description="The storage configuration to use for reading input documents.", default_factory=lambda: StorageConfig(base_dir="input"), ) - file_type: str = Field( + type: str = Field( description="The input file type to use.", - default=InputFileType.Text, + default=InputType.Text, ) encoding: str | None = Field( description="The input file encoding to use.", diff --git a/packages/graphrag-input/graphrag_input/input_reader.py b/packages/graphrag-input/graphrag_input/input_reader.py index 3533608f66..d2175d8228 100644 --- a/packages/graphrag-input/graphrag_input/input_reader.py +++ b/packages/graphrag-input/graphrag_input/input_reader.py @@ -24,30 +24,19 @@ class InputReader(metaclass=ABCMeta): def __init__( self, storage: Storage, - file_type: str, encoding: str = "utf-8", file_pattern: str | None = None, **kwargs, ): self._storage = storage - self._file_type = file_type self._encoding = encoding - - # built-in readers set a default pattern if none is provided - # this is usually just the file type itself, e.g., the file extension - pattern = ( - file_pattern if file_pattern is not None else f".*\\.{self._file_type}$" - ) - if file_pattern is None and self._file_type == "text": - pattern = ".*\\.txt$" - - self._file_pattern = pattern + self._file_pattern = file_pattern async def read_files(self) -> list[TextDocument]: """Load files from storage and apply a loader function based on file type. Process metadata on the results if needed.""" files = list(self._storage.find(re.compile(self._file_pattern))) if len(files) == 0: - msg = f"No {self._file_type} files found in storage" # TODO: use a storage __str__ to define it per impl + msg = f"No {self._file_pattern} matches found in storage" logger.warning(msg) files = [] @@ -63,11 +52,11 @@ async def read_files(self) -> list[TextDocument]: logger.info( "Found %d %s files, loading %d", len(files), - self._file_type, + self._file_pattern, len(documents), ) total_files_log = ( - f"Total number of unfiltered {self._file_type} rows: {len(documents)}" + f"Total number of unfiltered {self._file_pattern} rows: {len(documents)}" ) logger.info(total_files_log) diff --git a/packages/graphrag-input/graphrag_input/input_reader_factory.py b/packages/graphrag-input/graphrag_input/input_reader_factory.py index 4dd1bde78b..ba42084694 100644 --- a/packages/graphrag-input/graphrag_input/input_reader_factory.py +++ b/packages/graphrag-input/graphrag_input/input_reader_factory.py @@ -11,8 +11,8 @@ from graphrag_storage.storage import Storage from graphrag_input.input_config import InputConfig -from graphrag_input.input_file_type import InputFileType from graphrag_input.input_reader import InputReader +from graphrag_input.input_type import InputType logger = logging.getLogger(__name__) @@ -57,28 +57,28 @@ def create_input_reader(config: InputConfig, storage: Storage) -> InputReader: The created input reader implementation. """ config_model = config.model_dump() - input_strategy = config.file_type + input_strategy = config.type if input_strategy not in input_reader_factory: match input_strategy: - case InputFileType.Csv: + case InputType.Csv: from graphrag_input.csv import CSVFileReader - register_input_reader(InputFileType.Csv, CSVFileReader) - case InputFileType.Text: + register_input_reader(InputType.Csv, CSVFileReader) + case InputType.Text: from graphrag_input.text import TextFileReader - register_input_reader(InputFileType.Text, TextFileReader) - case InputFileType.Json: + register_input_reader(InputType.Text, TextFileReader) + case InputType.Json: from graphrag_input.json import JSONFileReader - register_input_reader(InputFileType.Json, JSONFileReader) - case InputFileType.JsonLines: + register_input_reader(InputType.Json, JSONFileReader) + case InputType.JsonLines: from graphrag_input.jsonl import JSONLinesFileReader - register_input_reader(InputFileType.JsonLines, JSONLinesFileReader) + register_input_reader(InputType.JsonLines, JSONLinesFileReader) case _: - msg = f"InputConfig.file_type '{input_strategy}' is not registered in the InputReaderFactory. Registered types: {', '.join(input_reader_factory.keys())}." + msg = f"InputConfig.type '{input_strategy}' is not registered in the InputReaderFactory. Registered types: {', '.join(input_reader_factory.keys())}." raise ValueError(msg) config_model["storage"] = storage diff --git a/packages/graphrag-input/graphrag_input/input_file_type.py b/packages/graphrag-input/graphrag_input/input_type.py similarity index 94% rename from packages/graphrag-input/graphrag_input/input_file_type.py rename to packages/graphrag-input/graphrag_input/input_type.py index 704ff05d5c..8c59b086cd 100644 --- a/packages/graphrag-input/graphrag_input/input_file_type.py +++ b/packages/graphrag-input/graphrag_input/input_type.py @@ -6,7 +6,7 @@ from enum import StrEnum -class InputFileType(StrEnum): +class InputType(StrEnum): """The input file type for the pipeline.""" Csv = "csv" diff --git a/packages/graphrag-input/graphrag_input/json.py b/packages/graphrag-input/graphrag_input/json.py index fbbd5defc8..1e4bdefe8d 100644 --- a/packages/graphrag-input/graphrag_input/json.py +++ b/packages/graphrag-input/graphrag_input/json.py @@ -15,6 +15,12 @@ class JSONFileReader(StructuredFileReader): """Reader implementation for json files.""" + def __init__(self, file_pattern: str | None = None, **kwargs): + super().__init__( + file_pattern=file_pattern if file_pattern is not None else ".*\\.json$", + **kwargs, + ) + async def read_file(self, path: str) -> list[TextDocument]: """Read a JSON file into a list of documents. diff --git a/packages/graphrag-input/graphrag_input/jsonl.py b/packages/graphrag-input/graphrag_input/jsonl.py index 9fce1a6e1d..f038aafaa5 100644 --- a/packages/graphrag-input/graphrag_input/jsonl.py +++ b/packages/graphrag-input/graphrag_input/jsonl.py @@ -15,6 +15,12 @@ class JSONLinesFileReader(StructuredFileReader): """Reader implementation for json lines files.""" + def __init__(self, file_pattern: str | None = None, **kwargs): + super().__init__( + file_pattern=file_pattern if file_pattern is not None else ".*\\.jsonl$", + **kwargs, + ) + async def read_file(self, path: str) -> list[TextDocument]: """Read a JSON lines file into a list of documents. diff --git a/packages/graphrag-input/graphrag_input/text.py b/packages/graphrag-input/graphrag_input/text.py index 2db71d43c3..43269723e6 100644 --- a/packages/graphrag-input/graphrag_input/text.py +++ b/packages/graphrag-input/graphrag_input/text.py @@ -16,6 +16,12 @@ class TextFileReader(InputReader): """Reader implementation for text files.""" + def __init__(self, file_pattern: str | None = None, **kwargs): + super().__init__( + file_pattern=file_pattern if file_pattern is not None else ".*\\.txt$", + **kwargs, + ) + async def read_file(self, path: str) -> list[TextDocument]: """Read a text file into a DataFrame of documents. diff --git a/packages/graphrag/graphrag/config/defaults.py b/packages/graphrag/graphrag/config/defaults.py index 6fbd94e1df..573989effa 100644 --- a/packages/graphrag/graphrag/config/defaults.py +++ b/packages/graphrag/graphrag/config/defaults.py @@ -9,7 +9,7 @@ from graphrag_cache import CacheType from graphrag_chunking.chunk_strategy_type import ChunkerType -from graphrag_input import InputFileType +from graphrag_input import InputType from graphrag_storage import StorageType from graphrag.config.embeddings import default_embeddings @@ -237,7 +237,7 @@ class InputDefaults: """Default values for input.""" storage: InputStorageDefaults = field(default_factory=InputStorageDefaults) - file_type: ClassVar[InputFileType] = InputFileType.Text + type: ClassVar[InputType] = InputType.Text encoding: str | None = None file_pattern: None = None id_column: None = None diff --git a/packages/graphrag/graphrag/config/init_content.py b/packages/graphrag/graphrag/config/init_content.py index 086228bf55..e038d03075 100644 --- a/packages/graphrag/graphrag/config/init_content.py +++ b/packages/graphrag/graphrag/config/init_content.py @@ -52,7 +52,7 @@ storage: type: {graphrag_config_defaults.input.storage.type} # [file, blob, cosmosdb] base_dir: "{graphrag_config_defaults.input.storage.base_dir}" - file_type: {graphrag_config_defaults.input.file_type.value} # [csv, text, json] + type: {graphrag_config_defaults.input.type.value} # [csv, text, json] chunking: type: {graphrag_config_defaults.chunking.type} diff --git a/tests/fixtures/azure/config.json b/tests/fixtures/azure/config.json index 91d9fc51d0..774228d0ad 100644 --- a/tests/fixtures/azure/config.json +++ b/tests/fixtures/azure/config.json @@ -1,6 +1,6 @@ { "input_path": "./tests/fixtures/azure", - "input_file_type": "text", + "input_type": "text", "index_method": "standard", "workflow_config": { "skip_assert": true, diff --git a/tests/fixtures/azure/settings.yml b/tests/fixtures/azure/settings.yml index 80ba02e56b..b220786d88 100644 --- a/tests/fixtures/azure/settings.yml +++ b/tests/fixtures/azure/settings.yml @@ -14,7 +14,7 @@ input: connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING} container_name: azurefixture base_dir: input - file_type: text + type: text cache: diff --git a/tests/fixtures/min-csv/config.json b/tests/fixtures/min-csv/config.json index 88d38f1e61..3fa7641fa4 100644 --- a/tests/fixtures/min-csv/config.json +++ b/tests/fixtures/min-csv/config.json @@ -1,6 +1,6 @@ { "input_path": "./tests/fixtures/min-csv", - "input_file_type": "text", + "input_type": "text", "index_method": "standard", "workflow_config": { "load_input_documents": { diff --git a/tests/fixtures/min-csv/settings.yml b/tests/fixtures/min-csv/settings.yml index 82066e753c..16748bb792 100644 --- a/tests/fixtures/min-csv/settings.yml +++ b/tests/fixtures/min-csv/settings.yml @@ -35,7 +35,7 @@ vector_store: overwrite: True input: - file_type: csv + type: csv snapshots: embeddings: true \ No newline at end of file diff --git a/tests/fixtures/text/config.json b/tests/fixtures/text/config.json index 6248a08044..71756da365 100644 --- a/tests/fixtures/text/config.json +++ b/tests/fixtures/text/config.json @@ -1,6 +1,6 @@ { "input_path": "./tests/fixtures/text", - "input_file_type": "text", + "input_type": "text", "index_method": "fast", "workflow_config": { "load_input_documents": { diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py index 53205c7c09..7d43b0140a 100644 --- a/tests/smoke/test_fixtures.py +++ b/tests/smoke/test_fixtures.py @@ -126,7 +126,7 @@ class TestIndexer: def __run_indexer( self, root: Path, - input_file_type: str, + input_type: str, index_method: str, ): command = [ @@ -232,7 +232,7 @@ def __run_query(self, root: Path, query_config: dict[str, str]): def test_fixture( self, input_path: str, - input_file_type: str, + input_type: str, index_method: str, workflow_config: dict[str, dict[str, Any]], query_config: list[dict[str, str]], @@ -248,7 +248,7 @@ def test_fixture( dispose = asyncio.run(prepare_azurite_data(input_path, azure)) print("running indexer") - self.__run_indexer(root, input_file_type, index_method) + self.__run_indexer(root, input_type, index_method) print("indexer complete") if dispose is not None: diff --git a/tests/unit/config/utils.py b/tests/unit/config/utils.py index 3b4cfea0bc..8511a71706 100644 --- a/tests/unit/config/utils.py +++ b/tests/unit/config/utils.py @@ -144,7 +144,7 @@ def assert_cache_configs(actual: CacheConfig, expected: CacheConfig) -> None: def assert_input_configs(actual: InputConfig, expected: InputConfig) -> None: assert_storage_config(actual.storage, expected.storage) - assert actual.file_type == expected.file_type + assert actual.type == expected.type assert actual.encoding == expected.encoding assert actual.file_pattern == expected.file_pattern assert actual.text_column == expected.text_column diff --git a/tests/unit/indexing/input/test_csv_loader.py b/tests/unit/indexing/input/test_csv_loader.py index b57d6e7fa3..857302bbf0 100644 --- a/tests/unit/indexing/input/test_csv_loader.py +++ b/tests/unit/indexing/input/test_csv_loader.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag_input import InputConfig, InputFileType, create_input_reader +from graphrag_input import InputConfig, InputType, create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -10,7 +10,7 @@ async def test_csv_loader_one_file(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-csv", ), - file_type=InputFileType.Csv, + type=InputType.Csv, file_pattern=".*\\.csv$", ) storage = create_storage(config.storage) @@ -30,7 +30,7 @@ async def test_csv_loader_one_file_with_title(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-csv", ), - file_type=InputFileType.Csv, + type=InputType.Csv, title_column="title", ) storage = create_storage(config.storage) @@ -45,7 +45,7 @@ async def test_csv_loader_multiple_files(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/multiple-csvs", ), - file_type=InputFileType.Csv, + type=InputType.Csv, ) storage = create_storage(config.storage) reader = create_input_reader(config, storage) diff --git a/tests/unit/indexing/input/test_json_loader.py b/tests/unit/indexing/input/test_json_loader.py index b70228e739..ead2ae13f1 100644 --- a/tests/unit/indexing/input/test_json_loader.py +++ b/tests/unit/indexing/input/test_json_loader.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag_input import InputConfig, InputFileType, create_input_reader +from graphrag_input import InputConfig, InputType, create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -10,7 +10,7 @@ async def test_json_loader_one_file_one_object(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-one-object", ), - file_type=InputFileType.Json, + type=InputType.Json, file_pattern=".*\\.json$", ) storage = create_storage(config.storage) @@ -29,7 +29,7 @@ async def test_json_loader_one_file_multiple_objects(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-multiple-objects", ), - file_type=InputFileType.Json, + type=InputType.Json, ) storage = create_storage(config.storage) reader = create_input_reader(config, storage) @@ -44,7 +44,7 @@ async def test_json_loader_one_file_with_title(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-json-one-object", ), - file_type=InputFileType.Json, + type=InputType.Json, title_column="title", ) storage = create_storage(config.storage) @@ -59,7 +59,7 @@ async def test_json_loader_multiple_files(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/multiple-jsons", ), - file_type=InputFileType.Json, + type=InputType.Json, ) storage = create_storage(config.storage) reader = create_input_reader(config, storage) diff --git a/tests/unit/indexing/input/test_jsonl_loader.py b/tests/unit/indexing/input/test_jsonl_loader.py index 81deaa8b52..0a1e090cbc 100644 --- a/tests/unit/indexing/input/test_jsonl_loader.py +++ b/tests/unit/indexing/input/test_jsonl_loader.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag_input import InputConfig, InputFileType, create_input_reader +from graphrag_input import InputConfig, InputType, create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -10,7 +10,7 @@ async def test_jsonl_loader_one_file_multiple_objects(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-jsonl", ), - file_type=InputFileType.JsonLines, + type=InputType.JsonLines, file_pattern=".*\\.jsonl$", ) storage = create_storage(config.storage) @@ -30,7 +30,7 @@ async def test_jsonl_loader_one_file_with_title(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-jsonl", ), - file_type=InputFileType.JsonLines, + type=InputType.JsonLines, title_column="title", ) storage = create_storage(config.storage) diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_txt_loader.py index f649d60841..f3ff14f180 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_txt_loader.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag_input import InputConfig, InputFileType, create_input_reader +from graphrag_input import InputConfig, InputType, create_input_reader from graphrag_storage import StorageConfig, create_storage @@ -10,7 +10,7 @@ async def test_txt_loader_one_file(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/one-txt", ), - file_type=InputFileType.Text, + type=InputType.Text, file_pattern=".*\\.txt$", ) storage = create_storage(config.storage) @@ -26,7 +26,7 @@ async def test_txt_loader_multiple_files(): storage=StorageConfig( base_dir="tests/unit/indexing/input/data/multiple-txts", ), - file_type=InputFileType.Text, + type=InputType.Text, file_pattern=".*\\.txt$", ) storage = create_storage(config.storage) From 6d5076aa51bbf23e2406d5e568ed7981e855ffb6 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Fri, 9 Jan 2026 11:54:59 -0800 Subject: [PATCH 21/30] Add MarkItDown support --- packages/graphrag-cache/pyproject.toml | 4 +- packages/graphrag-input/README.md | 40 +- .../graphrag_input/input_reader_factory.py | 4 + .../graphrag_input/input_type.py | 2 + .../graphrag_input/markitdown.py | 55 ++ .../graphrag-input/graphrag_input/text.py | 4 +- packages/graphrag-input/pyproject.toml | 1 + .../index/workflows/load_input_documents.py | 2 +- .../indexing/input/data/one-html/input.html | 8 + .../indexing/input/test_markitdown_loader.py | 25 + ...test_txt_loader.py => test_text_loader.py} | 4 +- uv.lock | 669 +++++++++++++++++- 12 files changed, 803 insertions(+), 15 deletions(-) create mode 100644 packages/graphrag-input/graphrag_input/markitdown.py create mode 100644 tests/unit/indexing/input/data/one-html/input.html create mode 100644 tests/unit/indexing/input/test_markitdown_loader.py rename tests/unit/indexing/input/{test_txt_loader.py => test_text_loader.py} (92%) diff --git a/packages/graphrag-cache/pyproject.toml b/packages/graphrag-cache/pyproject.toml index e87f5d81e0..69b79de36b 100644 --- a/packages/graphrag-cache/pyproject.toml +++ b/packages/graphrag-cache/pyproject.toml @@ -23,12 +23,12 @@ authors = [ license = "MIT" readme = "README.md" license-files = ["LICENSE"] -requires-python = ">=3.10,<3.13" +requires-python = ">=3.11,<3.14" classifiers = [ "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", ] dependencies = [ "graphrag-common==2.7.0", diff --git a/packages/graphrag-input/README.md b/packages/graphrag-input/README.md index 35ab13e18d..34d18a0cfb 100644 --- a/packages/graphrag-input/README.md +++ b/packages/graphrag-input/README.md @@ -4,11 +4,19 @@ This package provides input document loading utilities for GraphRAG, supporting ## Supported File Types +The following four standard file formats are supported out of the box: + - **CSV** - Tabular data with configurable column mappings - **JSON** - JSON files with configurable property paths - **JSON Lines** - Line-delimited JSON records - **Text** - Plain text files +### Markitdown Support + +Additionally, we support the `InputType.MarkItDown` format, which uses the [MarkItDown](https://github.com/microsoft/markitdown) library to import any supported file type. The MarkItDown converter can handle a wide variety of file formats including Office documents, PDFs, HTML, and more. + +**Note:** Additional optional dependencies may need to be installed depending on the file type you're processing. The choice of converter is determined by MarkItDowns's processing logic, which primarily uses the file extension to select the appropriate converter. Please refer to the [MarkItDown repository](https://github.com/microsoft/markitdown) for installation instructions and detailed information about supported formats. + ## Examples Basic usage with the factory: @@ -27,7 +35,37 @@ reader = create_input_reader(config, storage) documents = await reader.read_files() ``` -Using dot notation for nested properties: +Import a pdf with MarkItDown: + +```bash +pip install 'markitdown[pdf]' # required dependency for pdf processing +``` + +```python +from graphrag_input import create_input_reader, InputConfig, InputType +from graphrag_storage import StorageConfig, create_storage + +config = InputConfig( + storage=StorageConfig(base_dir="./input"), + type=InputType.MarkitDown, + file_pattern=".*\\.pdf$" +) +storage = create_storage(config.storage) +reader = create_input_reader(config, storage) +documents = await reader.read_files() +``` + +YAML config example for above: +```yaml +input: + storage: + type: file + base_dir: "input" + type: markitdown + file_pattern: ".*\\.pdf$$" +``` + +Note that when specifying column names for data extraction, we can handle nested objects (e.g., in JSON) with dot notation: ```python from graphrag_input import get_property diff --git a/packages/graphrag-input/graphrag_input/input_reader_factory.py b/packages/graphrag-input/graphrag_input/input_reader_factory.py index ba42084694..825665fa9d 100644 --- a/packages/graphrag-input/graphrag_input/input_reader_factory.py +++ b/packages/graphrag-input/graphrag_input/input_reader_factory.py @@ -77,6 +77,10 @@ def create_input_reader(config: InputConfig, storage: Storage) -> InputReader: from graphrag_input.jsonl import JSONLinesFileReader register_input_reader(InputType.JsonLines, JSONLinesFileReader) + case InputType.MarkItDown: + from graphrag_input.markitdown import MarkItDownFileReader + + register_input_reader(InputType.MarkItDown, MarkItDownFileReader) case _: msg = f"InputConfig.type '{input_strategy}' is not registered in the InputReaderFactory. Registered types: {', '.join(input_reader_factory.keys())}." raise ValueError(msg) diff --git a/packages/graphrag-input/graphrag_input/input_type.py b/packages/graphrag-input/graphrag_input/input_type.py index 8c59b086cd..39d0559c8e 100644 --- a/packages/graphrag-input/graphrag_input/input_type.py +++ b/packages/graphrag-input/graphrag_input/input_type.py @@ -17,6 +17,8 @@ class InputType(StrEnum): """The JSON input type.""" JsonLines = "jsonl" """The JSON Lines input type.""" + MarkItDown = "markitdown" + """The MarkItDown input type.""" def __repr__(self): """Get a string representation.""" diff --git a/packages/graphrag-input/graphrag_input/markitdown.py b/packages/graphrag-input/graphrag_input/markitdown.py new file mode 100644 index 0000000000..20b34c4b5d --- /dev/null +++ b/packages/graphrag-input/graphrag_input/markitdown.py @@ -0,0 +1,55 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'TextFileReader' model.""" + +import logging +from io import BytesIO +from pathlib import Path + +from markitdown import MarkItDown, StreamInfo + +from graphrag_input.hashing import gen_sha512_hash +from graphrag_input.input_reader import InputReader +from graphrag_input.text_document import TextDocument + +logger = logging.getLogger(__name__) + + +class MarkItDownFileReader(InputReader): + """Reader implementation for any file type supported by markitdown. + + https://github.com/microsoft/markitdown + """ + + def __init__(self, file_pattern: str | None = None, **kwargs): + super().__init__( + file_pattern=file_pattern if file_pattern is not None else ".*\\.txt$", + **kwargs, + ) + + async def read_file(self, path: str) -> list[TextDocument]: + """Read a text file into a DataFrame of documents. + + Args: + - path - The path to read the file from. + + Returns + ------- + - output - list with a TextDocument for each row in the file. + """ + bytes = await self._storage.get(path, encoding=self._encoding, as_bytes=True) + md = MarkItDown(enable_plugins=False) + result = md.convert_stream( + BytesIO(bytes), stream_info=StreamInfo(extension=Path(path).suffix) + ) + text = result.markdown + + document = TextDocument( + id=gen_sha512_hash({"text": text}, ["text"]), + title=result.title if result.title else str(Path(path).name), + text=text, + creation_date=await self._storage.get_creation_date(path), + raw_data=None, + ) + return [document] diff --git a/packages/graphrag-input/graphrag_input/text.py b/packages/graphrag-input/graphrag_input/text.py index 43269723e6..5d42924181 100644 --- a/packages/graphrag-input/graphrag_input/text.py +++ b/packages/graphrag-input/graphrag_input/text.py @@ -23,14 +23,14 @@ def __init__(self, file_pattern: str | None = None, **kwargs): ) async def read_file(self, path: str) -> list[TextDocument]: - """Read a text file into a DataFrame of documents. + """Read a text file into a list of documents. Args: - path - The path to read the file from. Returns ------- - - output - DataFrame with a row for each document in the file. + - output - list with a TextDocument for each row in the file. """ text = await self._storage.get(path, encoding=self._encoding) document = TextDocument( diff --git a/packages/graphrag-input/pyproject.toml b/packages/graphrag-input/pyproject.toml index 36914a2cff..0a7d6b269f 100644 --- a/packages/graphrag-input/pyproject.toml +++ b/packages/graphrag-input/pyproject.toml @@ -33,6 +33,7 @@ dependencies = [ "graphrag-common==2.7.0", "graphrag-storage==2.7.0", "pydantic~=2.10", + "markitdown~=0.1.0" ] [project.urls] diff --git a/packages/graphrag/graphrag/index/workflows/load_input_documents.py b/packages/graphrag/graphrag/index/workflows/load_input_documents.py index 1fa01827e6..0a5aa65454 100644 --- a/packages/graphrag/graphrag/index/workflows/load_input_documents.py +++ b/packages/graphrag/graphrag/index/workflows/load_input_documents.py @@ -26,7 +26,7 @@ async def run_workflow( output = await load_input_documents(input_reader) if len(output) == 0: - msg = "No input documents found." + msg = "Error reading documents, please see logs." logger.error(msg) raise ValueError(msg) diff --git a/tests/unit/indexing/input/data/one-html/input.html b/tests/unit/indexing/input/data/one-html/input.html new file mode 100644 index 0000000000..dbf8badc70 --- /dev/null +++ b/tests/unit/indexing/input/data/one-html/input.html @@ -0,0 +1,8 @@ + + +Test + + +Hi how are you today? + + \ No newline at end of file diff --git a/tests/unit/indexing/input/test_markitdown_loader.py b/tests/unit/indexing/input/test_markitdown_loader.py new file mode 100644 index 0000000000..846d7f00d0 --- /dev/null +++ b/tests/unit/indexing/input/test_markitdown_loader.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag_input import InputConfig, InputType, create_input_reader +from graphrag_storage import StorageConfig, create_storage + + +# these tests just confirm we can load files with MarkItDown, +# and use html specifically because it requires no additional dependency installation +async def test_markitdown_loader_one_file(): + config = InputConfig( + storage=StorageConfig( + base_dir="tests/unit/indexing/input/data/one-html", + ), + type=InputType.MarkItDown, + file_pattern=".*\\.html$", + ) + storage = create_storage(config.storage) + reader = create_input_reader(config, storage) + documents = await reader.read_files() + assert len(documents) == 1 + # markitdown will extract the title and body from the HTML if present and clean them + assert documents[0].title == "Test" + assert documents[0].text == "Hi how are you today?" + assert documents[0].raw_data is None \ No newline at end of file diff --git a/tests/unit/indexing/input/test_txt_loader.py b/tests/unit/indexing/input/test_text_loader.py similarity index 92% rename from tests/unit/indexing/input/test_txt_loader.py rename to tests/unit/indexing/input/test_text_loader.py index f3ff14f180..2ed2c8bcf0 100644 --- a/tests/unit/indexing/input/test_txt_loader.py +++ b/tests/unit/indexing/input/test_text_loader.py @@ -5,7 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22/30] Remove pattern default from MarkItDown reader --- packages/graphrag-input/graphrag_input/markitdown.py | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/packages/graphrag-input/graphrag_input/markitdown.py b/packages/graphrag-input/graphrag_input/markitdown.py index 20b34c4b5d..a1b5be5e41 100644 --- a/packages/graphrag-input/graphrag_input/markitdown.py +++ b/packages/graphrag-input/graphrag_input/markitdown.py @@ -21,13 +21,7 @@ class MarkItDownFileReader(InputReader): https://github.com/microsoft/markitdown """ - - def __init__(self, file_pattern: str | None = None, **kwargs): - super().__init__( - file_pattern=file_pattern if file_pattern is not None else ".*\\.txt$", - **kwargs, - ) - + async def read_file(self, path: str) -> list[TextDocument]: """Read a text file into a DataFrame of documents. From e19501d9370514d69d3a926c54add555641a133f Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Fri, 9 Jan 2026 11:57:06 -0800 Subject: [PATCH 23/30] Remove plugins flag (implicit disabled) --- packages/graphrag-input/graphrag_input/markitdown.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/graphrag-input/graphrag_input/markitdown.py b/packages/graphrag-input/graphrag_input/markitdown.py index a1b5be5e41..466a2ebdd9 100644 --- a/packages/graphrag-input/graphrag_input/markitdown.py +++ b/packages/graphrag-input/graphrag_input/markitdown.py @@ -21,7 +21,7 @@ class MarkItDownFileReader(InputReader): https://github.com/microsoft/markitdown """ - + async def read_file(self, path: str) -> list[TextDocument]: """Read a text file into a DataFrame of documents. @@ -33,7 +33,7 @@ async def read_file(self, path: str) -> list[TextDocument]: - output - list with a TextDocument for each row in the file. """ bytes = await self._storage.get(path, encoding=self._encoding, as_bytes=True) - md = MarkItDown(enable_plugins=False) + md = MarkItDown() result = md.convert_stream( BytesIO(bytes), stream_info=StreamInfo(extension=Path(path).suffix) ) From 6fba8d005a0fbeae15ba854f4186cae0f193cc08 Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Fri, 9 Jan 2026 12:02:35 -0800 Subject: [PATCH 24/30] Format --- tests/unit/indexing/input/test_markitdown_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/unit/indexing/input/test_markitdown_loader.py b/tests/unit/indexing/input/test_markitdown_loader.py index 846d7f00d0..d6755d41c4 100644 --- a/tests/unit/indexing/input/test_markitdown_loader.py +++ b/tests/unit/indexing/input/test_markitdown_loader.py @@ -22,4 +22,4 @@ async def test_markitdown_loader_one_file(): # markitdown will extract the title and body from the HTML if present and clean them assert documents[0].title == "Test" assert documents[0].text == "Hi how are you today?" - assert documents[0].raw_data is None \ No newline at end of file + assert documents[0].raw_data is None From c974970e839d1a91ed2802b417d4334d8ee9e4fb Mon Sep 17 00:00:00 2001 From: Nathan Evans Date: Fri, 9 Jan 2026 15:33:18 -0800 Subject: [PATCH 25/30] Update verb tests --- .../graphrag/graphrag/data_model/schemas.py | 4 ++-- .../graphrag/index/operations/prune_graph.py | 3 ++- .../index/workflows/create_final_documents.py | 3 --- .../graphrag/index/workflows/prune_graph.py | 1 + tests/unit/chunking/test_chunker.py | 2 +- tests/verbs/data/communities.parquet | Bin 39880 -> 71503 bytes tests/verbs/data/community_reports.parquet | Bin 334388 -> 894887 bytes tests/verbs/data/covariates.parquet | Bin 70374 -> 137091 bytes tests/verbs/data/documents.parquet | Bin 126826 -> 125443 bytes tests/verbs/data/entities.parquet | Bin 60987 -> 119565 bytes tests/verbs/data/relationships.parquet | Bin 73213 -> 126576 bytes tests/verbs/data/text_units.parquet | Bin 163602 -> 202236 bytes tests/verbs/data/text_units_metadata.parquet | Bin 163313 -> 0 bytes ...text_units_metadata_included_chunk.parquet | Bin 163634 -> 0 bytes tests/verbs/test_create_base_text_units.py | 21 +++++++----------- tests/verbs/test_create_final_documents.py | 19 ---------------- tests/verbs/test_prune_graph.py | 2 +- 17 files changed, 15 insertions(+), 40 deletions(-) delete mode 100644 tests/verbs/data/text_units_metadata.parquet delete mode 100644 tests/verbs/data/text_units_metadata_included_chunk.parquet diff --git a/packages/graphrag/graphrag/data_model/schemas.py b/packages/graphrag/graphrag/data_model/schemas.py index 93ede46191..c0926b9bb7 100644 --- a/packages/graphrag/graphrag/data_model/schemas.py +++ b/packages/graphrag/graphrag/data_model/schemas.py @@ -64,7 +64,7 @@ N_TOKENS = "n_tokens" CREATION_DATE = "creation_date" -METADATA = "metadata" +RAW_DATA = "raw_data" # the following lists define the final content and ordering of columns in the data model parquet outputs ENTITIES_FINAL_COLUMNS = [ @@ -155,5 +155,5 @@ TEXT, TEXT_UNIT_IDS, CREATION_DATE, - METADATA, + RAW_DATA, ] diff --git a/packages/graphrag/graphrag/index/operations/prune_graph.py b/packages/graphrag/graphrag/index/operations/prune_graph.py index 6eb6b60065..11a5335b4e 100644 --- a/packages/graphrag/graphrag/index/operations/prune_graph.py +++ b/packages/graphrag/graphrag/index/operations/prune_graph.py @@ -50,7 +50,8 @@ def prune_graph( graph.remove_nodes_from([ node for node, data in graph.nodes(data=True) - if data[schemas.NODE_FREQUENCY] < min_node_freq + if schemas.NODE_FREQUENCY not in data + or data[schemas.NODE_FREQUENCY] < min_node_freq ]) if max_node_freq_std is not None: upper_threshold = _get_upper_threshold_by_std( diff --git a/packages/graphrag/graphrag/index/workflows/create_final_documents.py b/packages/graphrag/graphrag/index/workflows/create_final_documents.py index f12560bab6..3b86b59620 100644 --- a/packages/graphrag/graphrag/index/workflows/create_final_documents.py +++ b/packages/graphrag/graphrag/index/workflows/create_final_documents.py @@ -67,7 +67,4 @@ def create_final_documents( rejoined["id"] = rejoined["id"].astype(str) rejoined["human_readable_id"] = rejoined.index - if "metadata" not in rejoined.columns: - rejoined["metadata"] = pd.Series(dtype="object") - return rejoined.loc[:, DOCUMENTS_FINAL_COLUMNS] diff --git a/packages/graphrag/graphrag/index/workflows/prune_graph.py b/packages/graphrag/graphrag/index/workflows/prune_graph.py index da4e2bc835..5653eef49b 100644 --- a/packages/graphrag/graphrag/index/workflows/prune_graph.py +++ b/packages/graphrag/graphrag/index/workflows/prune_graph.py @@ -58,6 +58,7 @@ def prune_graph( """Prune a full graph based on graph statistics.""" # create a temporary graph to prune, then turn it back into dataframes graph = create_graph(relationships, edge_attr=["weight"], nodes=entities) + pruned = prune_graph_operation( graph, min_node_freq=pruning_config.min_node_freq, diff --git a/tests/unit/chunking/test_chunker.py b/tests/unit/chunking/test_chunker.py index 4dbefa4cf3..dd68b0ab6f 100644 --- a/tests/unit/chunking/test_chunker.py +++ b/tests/unit/chunking/test_chunker.py @@ -27,7 +27,7 @@ def setup_method(self, method): bootstrap() def test_basic_functionality(self): - 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