From 823342188de9fc251e65eab41149a6b886c86e10 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 10 Dec 2024 17:11:11 -0500 Subject: [PATCH] Cleanup factory methods (#1482) * cleanup factory methods to have similar design pattern across codebase * add semversioner file * cleanup logging factory * update developer guide * add comment * typo fix * cleanup reporter terminology * renmae reporter to logger * fix comments * update comment * instantiate factory classes correctly and update index api callback parameter --------- Co-authored-by: Alonso Guevara --- .../patch-20241209064913440349.json | 4 + DEVELOPING.md | 48 +- docs/config/env_vars.md | 2 +- graphrag/api/index.py | 24 +- graphrag/api/prompt_tune.py | 28 +- graphrag/api/query.py | 18 +- graphrag/cache/factory.py | 66 +- graphrag/cache/json_pipeline_cache.py | 2 +- graphrag/callbacks/factory.py | 4 +- .../callbacks/progress_workflow_callbacks.py | 12 +- graphrag/cli/index.py | 45 +- graphrag/cli/initialize.py | 9 +- graphrag/cli/main.py | 18 +- graphrag/cli/prompt_tune.py | 8 +- graphrag/cli/query.py | 45 +- graphrag/config/init_content.py | 2 +- graphrag/index/config/cache.py | 2 +- graphrag/index/input/csv.py | 4 +- graphrag/index/input/factory.py | 8 +- graphrag/index/input/text.py | 4 +- .../index/operations/embed_text/embed_text.py | 2 +- graphrag/index/run/run.py | 56 +- graphrag/index/run/workflow.py | 4 +- graphrag/index/update/incremental_index.py | 22 +- graphrag/index/validate_config.py | 14 +- graphrag/{logging => logger}/__init__.py | 2 +- graphrag/{logging => logger}/base.py | 24 +- graphrag/{logging => logger}/console.py | 12 +- graphrag/logger/factory.py | 43 + graphrag/{logging => logger}/null_progress.py | 20 +- .../{logging => logger}/print_progress.py | 26 +- graphrag/{logging => logger}/rich_progress.py | 28 +- graphrag/logger/types.py | 22 + graphrag/logging/factory.py | 36 - graphrag/logging/types.py | 18 - graphrag/model/__init__.py | 2 +- graphrag/prompt_tune/loader/input.py | 6 +- graphrag/prompts/index/__init__.py | 2 +- graphrag/prompts/query/__init__.py | 2 +- graphrag/query/llm/oai/base.py | 8 +- graphrag/query/llm/oai/chat_openai.py | 6 +- graphrag/query/llm/oai/embedding.py | 6 +- graphrag/storage/blob_pipeline_storage.py | 12 +- graphrag/storage/factory.py | 61 +- graphrag/storage/file_pipeline_storage.py | 17 +- graphrag/storage/pipeline_storage.py | 4 +- graphrag/utils/storage.py | 2 +- graphrag/vector_stores/factory.py | 9 +- poetry.lock | 1578 +++++++++-------- pyproject.toml | 2 - tests/smoke/test_fixtures.py | 2 +- 51 files changed, 1249 insertions(+), 1152 deletions(-) create mode 100644 .semversioner/next-release/patch-20241209064913440349.json rename graphrag/{logging => logger}/__init__.py (63%) rename graphrag/{logging => logger}/base.py (72%) rename graphrag/{logging => logger}/console.py (73%) create mode 100644 graphrag/logger/factory.py rename graphrag/{logging => logger}/null_progress.py (61%) rename graphrag/{logging => logger}/print_progress.py (62%) rename graphrag/{logging => logger}/rich_progress.py (87%) create mode 100644 graphrag/logger/types.py delete mode 100644 graphrag/logging/factory.py delete mode 100644 graphrag/logging/types.py diff --git a/.semversioner/next-release/patch-20241209064913440349.json b/.semversioner/next-release/patch-20241209064913440349.json new file mode 100644 index 0000000000..b6a4b8c72b --- /dev/null +++ b/.semversioner/next-release/patch-20241209064913440349.json @@ -0,0 +1,4 @@ +{ + "type": "patch", + "description": "cleanup and refactor factory classes." +} diff --git a/DEVELOPING.md b/DEVELOPING.md index dde17fbbaa..be018e0583 100644 --- a/DEVELOPING.md +++ b/DEVELOPING.md @@ -10,24 +10,56 @@ # Getting Started ## Install Dependencies - -```sh -# Install Python dependencies. +```shell +# install python dependencies poetry install ``` -## Executing the Indexing Engine - -```sh +## Execute the indexing engine +```shell poetry run poe index <...args> ``` -## Executing Queries +## Execute prompt tuning +```shell +poetry run poe prompt_tune <...args> +``` -```sh +## Execute Queries +```shell poetry run poe query <...args> ``` +## Repository Structure +An overview of the repository's top-level folder structure is provided below, detailing the overall design and purpose. +We leverage a factory design pattern where possible, enabling a variety of implementations for each core component of graphrag. + +```shell +graphrag +├── api # library API definitions +├── cache # cache module supporting several options +│   └─ factory.py # └─ main entrypoint to create a cache +├── callbacks # a collection of commonly used callback functions +├── cli # library CLI +│   └─ main.py # └─ primary CLI entrypoint +├── config # configuration management +├── index # indexing engine +| └─ run/run.py # main entrypoint to build an index +├── llm # generic llm interfaces +├── logger # logger module supporting several options +│   └─ factory.py # └─ main entrypoint to create a logger +├── model # data model definitions associated with the knowledge graph +├── prompt_tune # prompt tuning module +├── prompts # a collection of all the system prompts used by graphrag +├── query # query engine +├── storage # storage module supporting several options +│   └─ factory.py # └─ main entrypoint to create/load a storage endpoint +├── utils # helper functions used throughout the library +└── vector_stores # vector store module containing a few options + └─ factory.py # └─ main entrypoint to create a vector store +``` +Where appropriate, the factories expose a registration method for users to provide their own custom implementations if desired. + ## Versioning We use [semversioner](https://github.com/raulgomis/semversioner) to automate and enforce semantic versioning in the release process. Our CI/CD pipeline checks that all PR's include a json file generated by semversioner. When submitting a PR, please run: diff --git a/docs/config/env_vars.md b/docs/config/env_vars.md index 8474d6f46b..4529dcdf4a 100644 --- a/docs/config/env_vars.md +++ b/docs/config/env_vars.md @@ -156,7 +156,7 @@ This section controls the storage mechanism used by the pipeline used for export | Parameter | Description | Type | Required or Optional | Default | | ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- | -| `GRAPHRAG_STORAGE_TYPE` | The type of reporter to use. Options are `file`, `memory`, or `blob` | `str` | optional | `file` | +| `GRAPHRAG_STORAGE_TYPE` | The type of storage to use. Options are `file`, `memory`, or `blob` | `str` | optional | `file` | | `GRAPHRAG_STORAGE_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://.blob.core.windows.net` | `str` | optional | None | | `GRAPHRAG_STORAGE_CONNECTION_STRING` | The Azure Storage connection string to use when in `blob` mode. | `str` | optional | None | | `GRAPHRAG_STORAGE_CONTAINER_NAME` | The Azure Storage container name to use when in `blob` mode. | `str` | optional | None | diff --git a/graphrag/api/index.py b/graphrag/api/index.py index b24e4f8dc7..d12afc06da 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -17,7 +17,7 @@ from graphrag.index.create_pipeline_config import create_pipeline_config from graphrag.index.run import run_pipeline_with_config from graphrag.index.typing import PipelineRunResult -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger async def build_index( @@ -26,7 +26,7 @@ async def build_index( is_resume_run: bool = False, memory_profile: bool = False, callbacks: list[WorkflowCallbacks] | None = None, - progress_reporter: ProgressReporter | None = None, + progress_logger: ProgressLogger | None = None, ) -> list[PipelineRunResult]: """Run the pipeline with the given configuration. @@ -42,8 +42,8 @@ async def build_index( Whether to enable memory profiling. callbacks : list[WorkflowCallbacks] | None default=None A list of callbacks to register. - progress_reporter : ProgressReporter | None default=None - The progress reporter. + progress_logger : ProgressLogger | None default=None + The progress logger. Returns ------- @@ -60,10 +60,10 @@ async def build_index( pipeline_cache = ( NoopPipelineCache() if config.cache.type == CacheType.none is None else None ) + # create a pipeline reporter and add to any additional callbacks # TODO: remove the type ignore once the new config engine has been refactored - callbacks = ( - [create_pipeline_reporter(config.reporting, None)] if config.reporting else None # type: ignore - ) # type: ignore + callbacks = callbacks or [] + callbacks.append(create_pipeline_reporter(config.reporting, None)) # type: ignore outputs: list[PipelineRunResult] = [] async for output in run_pipeline_with_config( pipeline_config, @@ -71,15 +71,15 @@ async def build_index( memory_profile=memory_profile, cache=pipeline_cache, callbacks=callbacks, - progress_reporter=progress_reporter, + logger=progress_logger, is_resume_run=is_resume_run, is_update_run=is_update_run, ): outputs.append(output) - if progress_reporter: + if progress_logger: if output.errors and len(output.errors) > 0: - progress_reporter.error(output.workflow) + progress_logger.error(output.workflow) else: - progress_reporter.success(output.workflow) - progress_reporter.info(str(output.result)) + progress_logger.success(output.workflow) + progress_logger.info(str(output.result)) return outputs diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py index 7945704a0a..9d0823e93f 100644 --- a/graphrag/api/prompt_tune.py +++ b/graphrag/api/prompt_tune.py @@ -16,7 +16,7 @@ from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.llm.load_llm import load_llm -from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.logger.print_progress import PrintProgressLogger from graphrag.prompt_tune.defaults import MAX_TOKEN_COUNT from graphrag.prompt_tune.generator.community_report_rating import ( generate_community_report_rating, @@ -80,7 +80,7 @@ async def generate_indexing_prompts( ------- tuple[str, str, str]: entity extraction prompt, entity summarization prompt, community summarization prompt """ - reporter = PrintProgressReporter("") + logger = PrintProgressLogger("") # Retrieve documents doc_list = await load_docs_in_chunks( @@ -88,7 +88,7 @@ async def generate_indexing_prompts( config=config, limit=limit, select_method=selection_method, - reporter=reporter, + logger=logger, chunk_size=chunk_size, n_subset_max=n_subset_max, k=k, @@ -103,25 +103,25 @@ async def generate_indexing_prompts( ) if not domain: - reporter.info("Generating domain...") + logger.info("Generating domain...") domain = await generate_domain(llm, doc_list) - reporter.info(f"Generated domain: {domain}") + logger.info(f"Generated domain: {domain}") # noqa if not language: - reporter.info("Detecting language...") + logger.info("Detecting language...") language = await detect_language(llm, doc_list) - reporter.info("Generating persona...") + logger.info("Generating persona...") persona = await generate_persona(llm, domain) - reporter.info("Generating community report ranking description...") + logger.info("Generating community report ranking description...") community_report_ranking = await generate_community_report_rating( llm, domain=domain, persona=persona, docs=doc_list ) entity_types = None if discover_entity_types: - reporter.info("Generating entity types...") + logger.info("Generating entity types...") entity_types = await generate_entity_types( llm, domain=domain, @@ -130,7 +130,7 @@ async def generate_indexing_prompts( json_mode=config.llm.model_supports_json or False, ) - reporter.info("Generating entity relationship examples...") + logger.info("Generating entity relationship examples...") examples = await generate_entity_relationship_examples( llm, persona=persona, @@ -140,7 +140,7 @@ async def generate_indexing_prompts( json_mode=False, # config.llm.model_supports_json should be used, but these prompts are used in non-json mode by the index engine ) - reporter.info("Generating entity extraction prompt...") + logger.info("Generating entity extraction prompt...") entity_extraction_prompt = create_entity_extraction_prompt( entity_types=entity_types, docs=doc_list, @@ -152,18 +152,18 @@ async def generate_indexing_prompts( min_examples_required=min_examples_required, ) - reporter.info("Generating entity summarization prompt...") + logger.info("Generating entity summarization prompt...") entity_summarization_prompt = create_entity_summarization_prompt( persona=persona, language=language, ) - reporter.info("Generating community reporter role...") + logger.info("Generating community reporter role...") community_reporter_role = await generate_community_reporter_role( llm, domain=domain, persona=persona, docs=doc_list ) - reporter.info("Generating community summarization prompt...") + logger.info("Generating community summarization prompt...") community_summarization_prompt = create_community_summarization_prompt( persona=persona, role=community_reporter_role, diff --git a/graphrag/api/query.py b/graphrag/api/query.py index 1b6a92a3e6..1f5899a646 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -19,7 +19,7 @@ from collections.abc import AsyncGenerator from pathlib import Path -from typing import Any +from typing import TYPE_CHECKING, Any import pandas as pd from pydantic import validate_call @@ -29,7 +29,7 @@ community_full_content_embedding, entity_description_embedding, ) -from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.logger.print_progress import PrintProgressLogger from graphrag.query.factory import ( get_drift_search_engine, get_global_search_engine, @@ -44,13 +44,15 @@ read_indexer_reports, read_indexer_text_units, ) -from graphrag.query.structured_search.base import SearchResult # noqa: TC001 from graphrag.utils.cli import redact from graphrag.utils.embeddings import create_collection_name from graphrag.vector_stores.base import BaseVectorStore from graphrag.vector_stores.factory import VectorStoreFactory -reporter = PrintProgressReporter("") +if TYPE_CHECKING: + from graphrag.query.structured_search.base import SearchResult + +logger = PrintProgressLogger("") @validate_call(config={"arbitrary_types_allowed": True}) @@ -241,7 +243,7 @@ async def local_search( TODO: Document any exceptions to expect. """ vector_store_args = config.embeddings.vector_store - reporter.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore + logger.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore # noqa description_embedding_store = _get_embedding_store( config_args=vector_store_args, # type: ignore @@ -307,7 +309,7 @@ async def local_search_streaming( TODO: Document any exceptions to expect. """ vector_store_args = config.embeddings.vector_store - reporter.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore + logger.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore # noqa description_embedding_store = _get_embedding_store( config_args=vector_store_args, # type: ignore @@ -380,7 +382,7 @@ async def drift_search( TODO: Document any exceptions to expect. """ vector_store_args = config.embeddings.vector_store - reporter.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore + logger.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore # noqa description_embedding_store = _get_embedding_store( config_args=vector_store_args, # type: ignore @@ -430,7 +432,7 @@ def _get_embedding_store( collection_name = create_collection_name( config_args.get("container_name", "default"), embedding_name ) - embedding_store = VectorStoreFactory.get_vector_store( + embedding_store = VectorStoreFactory().create_vector_store( vector_store_type=vector_store_type, kwargs={**config_args, "collection_name": collection_name}, ) diff --git a/graphrag/cache/factory.py b/graphrag/cache/factory.py index 91a598c2d8..90f91a73b6 100644 --- a/graphrag/cache/factory.py +++ b/graphrag/cache/factory.py @@ -5,7 +5,7 @@ from __future__ import annotations -from typing import TYPE_CHECKING, cast +from typing import TYPE_CHECKING, ClassVar from graphrag.config.enums import CacheType from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage @@ -13,41 +13,45 @@ if TYPE_CHECKING: from graphrag.cache.pipeline_cache import PipelineCache - from graphrag.index.config.cache import ( - PipelineBlobCacheConfig, - PipelineCacheConfig, - PipelineFileCacheConfig, - ) from graphrag.cache.json_pipeline_cache import JsonPipelineCache from graphrag.cache.memory_pipeline_cache import InMemoryCache from graphrag.cache.noop_pipeline_cache import NoopPipelineCache -def create_cache( - config: PipelineCacheConfig | None, root_dir: str | None -) -> PipelineCache: - """Create a cache from the given config.""" - if config is None: - return NoopPipelineCache() +class CacheFactory: + """A factory class for cache implementations. - match config.type: - case CacheType.none: + Includes a method for users to register a custom cache implementation. + """ + + cache_types: ClassVar[dict[str, type]] = {} + + @classmethod + def register(cls, cache_type: str, cache: type): + """Register a custom cache implementation.""" + cls.cache_types[cache_type] = cache + + @classmethod + def create_cache( + cls, cache_type: CacheType | str | None, root_dir: str, kwargs: dict + ) -> PipelineCache: + """Create or get a cache from the provided type.""" + if not cache_type: return NoopPipelineCache() - case CacheType.memory: - return InMemoryCache() - case CacheType.file: - config = cast("PipelineFileCacheConfig", config) - storage = FilePipelineStorage(root_dir).child(config.base_dir) - return JsonPipelineCache(storage) - case CacheType.blob: - config = cast("PipelineBlobCacheConfig", config) - storage = BlobPipelineStorage( - config.connection_string, - config.container_name, - storage_account_blob_url=config.storage_account_blob_url, - ).child(config.base_dir) - return JsonPipelineCache(storage) - case _: - msg = f"Unknown cache type: {config.type}" - raise ValueError(msg) + match cache_type: + case CacheType.none: + return NoopPipelineCache() + case CacheType.memory: + return InMemoryCache() + case CacheType.file: + return JsonPipelineCache( + FilePipelineStorage(root_dir=root_dir).child(kwargs["base_dir"]) + ) + case CacheType.blob: + return JsonPipelineCache(BlobPipelineStorage(**kwargs)) + case _: + if cache_type in cls.cache_types: + return cls.cache_types[cache_type](**kwargs) + msg = f"Unknown cache type: {cache_type}" + raise ValueError(msg) diff --git a/graphrag/cache/json_pipeline_cache.py b/graphrag/cache/json_pipeline_cache.py index 8993e04f3b..84cd180c52 100644 --- a/graphrag/cache/json_pipeline_cache.py +++ b/graphrag/cache/json_pipeline_cache.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing 'FilePipelineCache' model.""" +"""A module containing 'JsonPipelineCache' model.""" import json from typing import Any diff --git a/graphrag/callbacks/factory.py b/graphrag/callbacks/factory.py index 0290a9b2a5..26b33b713b 100644 --- a/graphrag/callbacks/factory.py +++ b/graphrag/callbacks/factory.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Create a pipeline reporter.""" +"""Create a pipeline logger.""" from pathlib import Path from typing import cast @@ -22,7 +22,7 @@ def create_pipeline_reporter( config: PipelineReportingConfig | None, root_dir: str | None ) -> WorkflowCallbacks: - """Create a reporter for the given pipeline config.""" + """Create a logger for the given pipeline config.""" config = config or PipelineFileReportingConfig(base_dir="logs") match config.type: diff --git a/graphrag/callbacks/progress_workflow_callbacks.py b/graphrag/callbacks/progress_workflow_callbacks.py index d4c9407a58..9fda1e0c06 100644 --- a/graphrag/callbacks/progress_workflow_callbacks.py +++ b/graphrag/callbacks/progress_workflow_callbacks.py @@ -7,16 +7,16 @@ from datashaper import ExecutionNode, NoopWorkflowCallbacks, Progress, TableContainer -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger class ProgressWorkflowCallbacks(NoopWorkflowCallbacks): - """A callbackmanager that delegates to a ProgressReporter.""" + """A callbackmanager that delegates to a ProgressLogger.""" - _root_progress: ProgressReporter - _progress_stack: list[ProgressReporter] + _root_progress: ProgressLogger + _progress_stack: list[ProgressLogger] - def __init__(self, progress: ProgressReporter) -> None: + def __init__(self, progress: ProgressLogger) -> None: """Create a new ProgressWorkflowCallbacks.""" self._progress = progress self._progress_stack = [progress] @@ -28,7 +28,7 @@ def _push(self, name: str) -> None: self._progress_stack.append(self._latest.child(name)) @property - def _latest(self) -> ProgressReporter: + def _latest(self) -> ProgressLogger: return self._progress_stack[-1] def on_workflow_start(self, name: str, instance: object) -> None: diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index 3e03ab5afc..260161b98e 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""CLI implementation of index subcommand.""" +"""CLI implementation of the index subcommand.""" import asyncio import logging @@ -16,9 +16,8 @@ from graphrag.config.logging import enable_logging_with_config from graphrag.config.resolve_path import resolve_paths from graphrag.index.validate_config import validate_config_names -from graphrag.logging.base import ProgressReporter -from graphrag.logging.factory import create_progress_reporter -from graphrag.logging.types import ReporterType +from graphrag.logger.base import ProgressLogger +from graphrag.logger.factory import LoggerFactory, LoggerType from graphrag.utils.cli import redact # Ignore warnings from numba @@ -27,35 +26,35 @@ log = logging.getLogger(__name__) -def _logger(reporter: ProgressReporter): +def _logger(logger: ProgressLogger): def info(msg: str, verbose: bool = False): log.info(msg) if verbose: - reporter.info(msg) + logger.info(msg) def error(msg: str, verbose: bool = False): log.error(msg) if verbose: - reporter.error(msg) + logger.error(msg) def success(msg: str, verbose: bool = False): log.info(msg) if verbose: - reporter.success(msg) + logger.success(msg) return info, error, success -def _register_signal_handlers(reporter: ProgressReporter): +def _register_signal_handlers(logger: ProgressLogger): import signal def handle_signal(signum, _): # Handle the signal here - reporter.info(f"Received signal {signum}, exiting...") - reporter.dispose() + logger.info(f"Received signal {signum}, exiting...") # noqa: G004 + logger.dispose() for task in asyncio.all_tasks(): task.cancel() - reporter.info("All tasks cancelled. Exiting...") + logger.info("All tasks cancelled. Exiting...") # Register signal handlers for SIGINT and SIGHUP signal.signal(signal.SIGINT, handle_signal) @@ -70,7 +69,7 @@ def index_cli( resume: str | None, memprofile: bool, cache: bool, - reporter: ReporterType, + logger: LoggerType, config_filepath: Path | None, dry_run: bool, skip_validation: bool, @@ -85,7 +84,7 @@ def index_cli( resume=resume, memprofile=memprofile, cache=cache, - reporter=reporter, + logger=logger, dry_run=dry_run, skip_validation=skip_validation, output_dir=output_dir, @@ -97,7 +96,7 @@ def update_cli( verbose: bool, memprofile: bool, cache: bool, - reporter: ReporterType, + logger: LoggerType, config_filepath: Path | None, skip_validation: bool, output_dir: Path | None, @@ -121,7 +120,7 @@ def update_cli( resume=False, memprofile=memprofile, cache=cache, - reporter=reporter, + logger=logger, dry_run=False, skip_validation=skip_validation, output_dir=output_dir, @@ -134,13 +133,13 @@ def _run_index( resume, memprofile, cache, - reporter, + logger, dry_run, skip_validation, output_dir, ): - progress_reporter = create_progress_reporter(reporter) - info, error, success = _logger(progress_reporter) + progress_logger = LoggerFactory().create_logger(logger) + info, error, success = _logger(progress_logger) run_id = resume or time.strftime("%Y%m%d-%H%M%S") config.storage.base_dir = str(output_dir) if output_dir else config.storage.base_dir @@ -162,7 +161,7 @@ def _run_index( ) if skip_validation: - validate_config_names(progress_reporter, config) + validate_config_names(progress_logger, config) info(f"Starting pipeline run for: {run_id}, {dry_run=}", verbose) info( @@ -174,7 +173,7 @@ def _run_index( info("Dry run complete, exiting...", True) sys.exit(0) - _register_signal_handlers(progress_reporter) + _register_signal_handlers(progress_logger) outputs = asyncio.run( api.build_index( @@ -182,14 +181,14 @@ def _run_index( run_id=run_id, is_resume_run=bool(resume), memory_profile=memprofile, - progress_reporter=progress_reporter, + progress_logger=progress_logger, ) ) encountered_errors = any( output.errors and len(output.errors) > 0 for output in outputs ) - progress_reporter.stop() + progress_logger.stop() if encountered_errors: error( "Errors occurred during the pipeline run, see logs for more details.", True diff --git a/graphrag/cli/initialize.py b/graphrag/cli/initialize.py index 7d2bba7ef8..c7ce4326e8 100644 --- a/graphrag/cli/initialize.py +++ b/graphrag/cli/initialize.py @@ -1,13 +1,12 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""CLI implementation of initialization subcommand.""" +"""CLI implementation of the initialization subcommand.""" from pathlib import Path from graphrag.config.init_content import INIT_DOTENV, INIT_YAML -from graphrag.logging.factory import create_progress_reporter -from graphrag.logging.types import ReporterType +from graphrag.logger.factory import LoggerFactory, LoggerType from graphrag.prompts.index.claim_extraction import CLAIM_EXTRACTION_PROMPT from graphrag.prompts.index.community_report import ( COMMUNITY_REPORT_PROMPT, @@ -28,8 +27,8 @@ def initialize_project_at(path: Path) -> None: """Initialize the project at the given path.""" - progress_reporter = create_progress_reporter(ReporterType.RICH) - progress_reporter.info(f"Initializing project at {path}") + progress_logger = LoggerFactory().create_logger(LoggerType.RICH) + progress_logger.info(f"Initializing project at {path}") # noqa: G004 root = Path(path) if not root.exists(): root.mkdir(parents=True, exist_ok=True) diff --git a/graphrag/cli/main.py b/graphrag/cli/main.py index 416b325bac..445741fe0f 100644 --- a/graphrag/cli/main.py +++ b/graphrag/cli/main.py @@ -12,7 +12,7 @@ import typer -from graphrag.logging.types import ReporterType +from graphrag.logger.types import LoggerType from graphrag.prompt_tune.defaults import ( MAX_TOKEN_COUNT, MIN_CHUNK_SIZE, @@ -145,9 +145,9 @@ def _index_cli( resume: Annotated[ str | None, typer.Option(help="Resume a given indexing run") ] = None, - reporter: Annotated[ - ReporterType, typer.Option(help="The progress reporter to use.") - ] = ReporterType.RICH, + logger: Annotated[ + LoggerType, typer.Option(help="The progress logger to use.") + ] = LoggerType.RICH, dry_run: Annotated[ bool, typer.Option( @@ -180,7 +180,7 @@ def _index_cli( resume=resume, memprofile=memprofile, cache=cache, - reporter=ReporterType(reporter), + logger=LoggerType(logger), config_filepath=config, dry_run=dry_run, skip_validation=skip_validation, @@ -212,9 +212,9 @@ def _update_cli( memprofile: Annotated[ bool, typer.Option(help="Run the indexing pipeline with memory profiling") ] = False, - reporter: Annotated[ - ReporterType, typer.Option(help="The progress reporter to use.") - ] = ReporterType.RICH, + logger: Annotated[ + LoggerType, typer.Option(help="The progress logger to use.") + ] = LoggerType.RICH, cache: Annotated[bool, typer.Option(help="Use LLM cache.")] = True, skip_validation: Annotated[ bool, @@ -244,7 +244,7 @@ def _update_cli( verbose=verbose, memprofile=memprofile, cache=cache, - reporter=ReporterType(reporter), + logger=LoggerType(logger), config_filepath=config, skip_validation=skip_validation, output_dir=output, diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index feaa08c32a..6170402c5f 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -1,13 +1,13 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""CLI implementation of prompt-tune subcommand.""" +"""CLI implementation of the prompt-tune subcommand.""" from pathlib import Path import graphrag.api as api from graphrag.config.load_config import load_config -from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.logger.print_progress import PrintProgressLogger from graphrag.prompt_tune.generator.community_report_summarization import ( COMMUNITY_SUMMARIZATION_FILENAME, ) @@ -52,7 +52,7 @@ async def prompt_tune( - k: The number of documents to select when using auto selection method. - min_examples_required: The minimum number of examples required for entity extraction prompts. """ - reporter = PrintProgressReporter("") + logger = PrintProgressLogger("") root_path = Path(root).resolve() graph_config = load_config(root_path, config) @@ -73,7 +73,7 @@ async def prompt_tune( output_path = output.resolve() if output_path: - reporter.info(f"Writing prompts to {output_path}") + logger.info(f"Writing prompts to {output_path}") # noqa: G004 output_path.mkdir(parents=True, exist_ok=True) entity_extraction_prompt_path = output_path / ENTITY_EXTRACTION_FILENAME entity_summarization_prompt_path = output_path / ENTITY_SUMMARIZATION_FILENAME diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 1bf185a76e..6193db3a95 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""CLI implementation of query subcommand.""" +"""CLI implementation of the query subcommand.""" import asyncio import sys @@ -14,11 +14,11 @@ from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.config.resolve_path import resolve_paths from graphrag.index.create_pipeline_config import create_pipeline_config -from graphrag.logging.print_progress import PrintProgressReporter -from graphrag.storage.factory import create_storage +from graphrag.logger.print_progress import PrintProgressLogger +from graphrag.storage.factory import StorageFactory from graphrag.utils.storage import load_table_from_storage -reporter = PrintProgressReporter("") +logger = PrintProgressLogger("") def run_global_search( @@ -40,9 +40,9 @@ def run_global_search( config.storage.base_dir = str(data_dir) if data_dir else config.storage.base_dir resolve_paths(config) - dataframe_dict = _resolve_parquet_files( + dataframe_dict = _resolve_output_files( config=config, - parquet_list=[ + output_list=[ "create_final_nodes.parquet", "create_final_entities.parquet", "create_final_communities.parquet", @@ -100,7 +100,7 @@ async def run_streaming_search(): query=query, ) ) - reporter.success(f"Global Search Response:\n{response}") + logger.success(f"Global Search Response:\n{response}") # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -124,9 +124,9 @@ def run_local_search( config.storage.base_dir = str(data_dir) if data_dir else config.storage.base_dir resolve_paths(config) - dataframe_dict = _resolve_parquet_files( + dataframe_dict = _resolve_output_files( config=config, - parquet_list=[ + output_list=[ "create_final_nodes.parquet", "create_final_community_reports.parquet", "create_final_text_units.parquet", @@ -191,7 +191,7 @@ async def run_streaming_search(): query=query, ) ) - reporter.success(f"Local Search Response:\n{response}") + logger.success(f"Local Search Response:\n{response}") # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -214,9 +214,9 @@ def run_drift_search( config.storage.base_dir = str(data_dir) if data_dir else config.storage.base_dir resolve_paths(config) - dataframe_dict = _resolve_parquet_files( + dataframe_dict = _resolve_output_files( config=config, - parquet_list=[ + output_list=[ "create_final_nodes.parquet", "create_final_community_reports.parquet", "create_final_text_units.parquet", @@ -250,30 +250,33 @@ def run_drift_search( query=query, ) ) - reporter.success(f"DRIFT Search Response:\n{response}") + logger.success(f"DRIFT Search Response:\n{response}") # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. # TODO: Map/Reduce Drift Search answer to a single response return response, context_data -def _resolve_parquet_files( +def _resolve_output_files( config: GraphRagConfig, - parquet_list: list[str], + output_list: list[str], optional_list: list[str] | None = None, ) -> dict[str, pd.DataFrame]: - """Read parquet files to a dataframe dict.""" + """Read indexing output files to a dataframe dict.""" dataframe_dict = {} pipeline_config = create_pipeline_config(config) - storage_obj = create_storage(pipeline_config.storage) # type: ignore - for parquet_file in parquet_list: - df_key = parquet_file.split(".")[0] + storage_config = pipeline_config.storage.model_dump() # type: ignore + storage_obj = StorageFactory().create_storage( + storage_type=storage_config["type"], kwargs=storage_config + ) + for output_file in output_list: + df_key = output_file.split(".")[0] df_value = asyncio.run( - load_table_from_storage(name=parquet_file, storage=storage_obj) + load_table_from_storage(name=output_file, storage=storage_obj) ) dataframe_dict[df_key] = df_value - # for optional parquet files, set the dict entry to None instead of erroring out if it does not exist + # for optional output files, set the dict entry to None instead of erroring out if it does not exist if optional_list: for optional_file in optional_list: file_exists = asyncio.run(storage_obj.has(optional_file)) diff --git a/graphrag/config/init_content.py b/graphrag/config/init_content.py index cc26452598..d34e6ea88b 100644 --- a/graphrag/config/init_content.py +++ b/graphrag/config/init_content.py @@ -33,7 +33,7 @@ embeddings: async_mode: {defs.ASYNC_MODE.value} # or asyncio - vector_store:{defs.VECTOR_STORE} + vector_store: {defs.VECTOR_STORE} llm: api_key: ${{GRAPHRAG_API_KEY}} type: {defs.EMBEDDING_TYPE.value} # or azure_openai_embedding diff --git a/graphrag/index/config/cache.py b/graphrag/index/config/cache.py index 497efd97a5..62d485d107 100644 --- a/graphrag/index/config/cache.py +++ b/graphrag/index/config/cache.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig' and 'PipelineMemoryCacheConfig' models.""" +"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig', 'PipelineMemoryCacheConfig', 'PipelineBlobCacheConfig' models.""" from __future__ import annotations diff --git a/graphrag/index/input/csv.py b/graphrag/index/input/csv.py index f2dd825cc4..ce1fa20bfd 100644 --- a/graphrag/index/input/csv.py +++ b/graphrag/index/input/csv.py @@ -12,7 +12,7 @@ from graphrag.index.config.input import PipelineCSVInputConfig, PipelineInputConfig from graphrag.index.utils.hashing import gen_sha512_hash -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -24,7 +24,7 @@ async def load( config: PipelineInputConfig, - progress: ProgressReporter | None, + progress: ProgressLogger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load csv inputs from a directory.""" diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index 11ebc18d0d..d51b6bf264 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -17,8 +17,8 @@ from graphrag.index.input.csv import load as load_csv from graphrag.index.input.text import input_type as text from graphrag.index.input.text import load as load_text -from graphrag.logging.base import ProgressReporter -from graphrag.logging.null_progress import NullProgressReporter +from graphrag.logger.base import ProgressLogger +from graphrag.logger.null_progress import NullProgressLogger from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage from graphrag.storage.file_pipeline_storage import FilePipelineStorage @@ -31,13 +31,13 @@ async def create_input( config: PipelineInputConfig | InputConfig, - progress_reporter: ProgressReporter | None = None, + progress_reporter: ProgressLogger | None = None, root_dir: str | None = None, ) -> pd.DataFrame: """Instantiate input data for a pipeline.""" root_dir = root_dir or "" log.info("loading input from root_dir=%s", config.base_dir) - progress_reporter = progress_reporter or NullProgressReporter() + progress_reporter = progress_reporter or NullProgressLogger() match config.type: case InputType.blob: diff --git a/graphrag/index/input/text.py b/graphrag/index/input/text.py index e32baaa7b6..e4eca320f4 100644 --- a/graphrag/index/input/text.py +++ b/graphrag/index/input/text.py @@ -12,7 +12,7 @@ from graphrag.index.config.input import PipelineInputConfig from graphrag.index.utils.hashing import gen_sha512_hash -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage DEFAULT_FILE_PATTERN = re.compile( @@ -24,7 +24,7 @@ async def load( config: PipelineInputConfig, - progress: ProgressReporter | None, + progress: ProgressLogger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load text inputs from a directory.""" diff --git a/graphrag/index/operations/embed_text/embed_text.py b/graphrag/index/operations/embed_text/embed_text.py index 06964ebd3f..f335802c5f 100644 --- a/graphrag/index/operations/embed_text/embed_text.py +++ b/graphrag/index/operations/embed_text/embed_text.py @@ -217,7 +217,7 @@ def _create_vector_store( if collection_name: vector_store_config.update({"collection_name": collection_name}) - vector_store = VectorStoreFactory.get_vector_store( + vector_store = VectorStoreFactory().create_vector_store( vector_store_type, kwargs=vector_store_config ) diff --git a/graphrag/index/run/run.py b/graphrag/index/run/run.py index c251c73164..aab7342be0 100644 --- a/graphrag/index/run/run.py +++ b/graphrag/index/run/run.py @@ -8,21 +8,18 @@ import time import traceback from collections.abc import AsyncIterable -from pathlib import Path from typing import cast import pandas as pd from datashaper import NoopVerbCallbacks, WorkflowCallbacks -from graphrag.cache.factory import create_cache +from graphrag.cache.factory import CacheFactory from graphrag.cache.pipeline_cache import PipelineCache from graphrag.callbacks.console_workflow_callbacks import ConsoleWorkflowCallbacks -from graphrag.index.config.cache import PipelineMemoryCacheConfig from graphrag.index.config.pipeline import ( PipelineConfig, PipelineWorkflowReference, ) -from graphrag.index.config.storage import PipelineFileStorageConfig from graphrag.index.config.workflow import PipelineWorkflowStep from graphrag.index.exporter import ParquetExporter from graphrag.index.input.factory import create_input @@ -51,9 +48,9 @@ WorkflowDefinitions, load_workflows, ) -from graphrag.logging.base import ProgressReporter -from graphrag.logging.null_progress import NullProgressReporter -from graphrag.storage.factory import create_storage +from graphrag.logger.base import ProgressLogger +from graphrag.logger.null_progress import NullProgressLogger +from graphrag.storage.factory import StorageFactory from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -67,7 +64,7 @@ async def run_pipeline_with_config( update_index_storage: PipelineStorage | None = None, cache: PipelineCache | None = None, callbacks: list[WorkflowCallbacks] | None = None, - progress_reporter: ProgressReporter | None = None, + logger: ProgressLogger | None = None, input_post_process_steps: list[PipelineWorkflowStep] | None = None, additional_verbs: VerbDefinitions | None = None, additional_workflows: WorkflowDefinitions | None = None, @@ -85,7 +82,7 @@ async def run_pipeline_with_config( - dataset - The dataset to run the pipeline on (this overrides the config) - storage - The storage to use for the pipeline (this overrides the config) - cache - The cache to use for the pipeline (this overrides the config) - - reporter - The reporter to use for the pipeline (this overrides the config) + - logger - The logger to use for the pipeline (this overrides the config) - input_post_process_steps - The post process steps to run on the input data (this overrides the config) - additional_verbs - The custom verbs to use for the pipeline. - additional_workflows - The custom workflows to use for the pipeline. @@ -102,23 +99,32 @@ async def run_pipeline_with_config( config = _apply_substitutions(config, run_id) root_dir = config.root_dir or "" - progress_reporter = progress_reporter or NullProgressReporter() - storage = storage = create_storage(config.storage) # type: ignore + progress_logger = logger or NullProgressLogger() + storage_config = config.storage.model_dump() # type: ignore + storage = storage or StorageFactory().create_storage( + storage_type=storage_config["type"], # type: ignore + kwargs=storage_config, + ) if is_update_run: - # TODO: remove the default choice (PipelineFileStorageConfig) once the new config system enforces a correct update-index-storage config when used. - update_index_storage = update_index_storage or create_storage( - config.update_index_storage - or PipelineFileStorageConfig(base_dir=str(Path(root_dir) / "output")) + update_storage_config = config.update_index_storage.model_dump() # type: ignore + update_index_storage = update_index_storage or StorageFactory().create_storage( + storage_type=update_storage_config["type"], # type: ignore + kwargs=update_storage_config, ) - # TODO: remove the default choice (PipelineMemoryCacheConfig) when the new config system guarantees the existence of a cache config - cache = cache or create_cache(config.cache or PipelineMemoryCacheConfig(), root_dir) + # TODO: remove the type ignore when the new config system guarantees the existence of a cache config + cache_config = config.cache.model_dump() # type: ignore + cache = cache or CacheFactory().create_cache( + cache_type=cache_config["type"], # type: ignore + root_dir=root_dir, + kwargs=cache_config, + ) # TODO: remove the type ignore when the new config system guarantees the existence of an input config dataset = ( dataset if dataset is not None - else await create_input(config.input, progress_reporter, root_dir) # type: ignore + else await create_input(config.input, progress_logger, root_dir) # type: ignore ) post_process_steps = input_post_process_steps or _create_postprocess_steps( @@ -148,12 +154,12 @@ async def run_pipeline_with_config( memory_profile=memory_profile, additional_verbs=additional_verbs, additional_workflows=additional_workflows, - progress_reporter=progress_reporter, + progress_logger=progress_logger, is_resume_run=False, ): tables_dict[table.workflow] = table.result - progress_reporter.success("Finished running workflows on new documents.") + progress_logger.success("Finished running workflows on new documents.") await update_dataframe_outputs( dataframe_dict=tables_dict, storage=storage, @@ -161,7 +167,7 @@ async def run_pipeline_with_config( config=config, cache=cache, callbacks=NoopVerbCallbacks(), - progress_reporter=progress_reporter, + progress_logger=progress_logger, ) else: @@ -175,7 +181,7 @@ async def run_pipeline_with_config( memory_profile=memory_profile, additional_verbs=additional_verbs, additional_workflows=additional_workflows, - progress_reporter=progress_reporter, + progress_logger=progress_logger, is_resume_run=is_resume_run, ): yield table @@ -187,7 +193,7 @@ async def run_pipeline( storage: PipelineStorage | None = None, cache: PipelineCache | None = None, callbacks: list[WorkflowCallbacks] | None = None, - progress_reporter: ProgressReporter | None = None, + progress_logger: ProgressLogger | None = None, input_post_process_steps: list[PipelineWorkflowStep] | None = None, additional_verbs: VerbDefinitions | None = None, additional_workflows: WorkflowDefinitions | None = None, @@ -206,7 +212,7 @@ async def run_pipeline( These must exist after any post process steps are run if there are any! - storage - The storage to use for the pipeline - cache - The cache to use for the pipeline - - reporter - The reporter to use for the pipeline + - progress_logger - The logger to use for the pipeline - input_post_process_steps - The post process steps to run on the input data - additional_verbs - The custom verbs to use for the pipeline - additional_workflows - The custom workflows to use for the pipeline @@ -216,7 +222,7 @@ async def run_pipeline( """ start_time = time.time() - progress_reporter = progress_reporter or NullProgressReporter() + progress_reporter = progress_logger or NullProgressLogger() callbacks = callbacks or [ConsoleWorkflowCallbacks()] callback_chain = _create_callback_chain(callbacks, progress_reporter) context = create_run_context(storage=storage, cache=cache, stats=None) diff --git a/graphrag/index/run/workflow.py b/graphrag/index/run/workflow.py index ff80d7723e..4379f36b7f 100644 --- a/graphrag/index/run/workflow.py +++ b/graphrag/index/run/workflow.py @@ -21,7 +21,7 @@ from graphrag.index.exporter import ParquetExporter from graphrag.index.run.profiling import _write_workflow_stats from graphrag.index.typing import PipelineRunResult -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.storage import load_table_from_storage @@ -68,7 +68,7 @@ async def _export_workflow_output( def _create_callback_chain( - callbacks: list[WorkflowCallbacks] | None, progress: ProgressReporter | None + callbacks: list[WorkflowCallbacks] | None, progress: ProgressLogger | None ) -> WorkflowCallbacks: """Create a callback manager that encompasses multiple callbacks.""" manager = WorkflowCallbacksManager() diff --git a/graphrag/index/update/incremental_index.py b/graphrag/index/update/incremental_index.py index 04d4d8d19e..05da47f01d 100644 --- a/graphrag/index/update/incremental_index.py +++ b/graphrag/index/update/incremental_index.py @@ -23,7 +23,7 @@ _run_entity_summarization, ) from graphrag.index.update.relationships import _update_and_merge_relationships -from graphrag.logging.print_progress import ProgressReporter +from graphrag.logger.print_progress import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.storage import load_table_from_storage @@ -85,7 +85,7 @@ async def update_dataframe_outputs( config: PipelineConfig, cache: PipelineCache, callbacks: VerbCallbacks, - progress_reporter: ProgressReporter, + progress_logger: ProgressLogger, ) -> None: """Update the mergeable outputs. @@ -96,25 +96,25 @@ async def update_dataframe_outputs( storage : PipelineStorage The storage used to store the dataframes. """ - progress_reporter.info("Updating Final Documents") + progress_logger.info("Updating Final Documents") final_documents_df = await _concat_dataframes( "create_final_documents", dataframe_dict, storage, update_storage ) # Update entities and merge them - progress_reporter.info("Updating Final Entities") + progress_logger.info("Updating Final Entities") merged_entities_df, entity_id_mapping = await _update_entities( dataframe_dict, storage, update_storage, config, cache, callbacks ) # Update relationships with the entities id mapping - progress_reporter.info("Updating Final Relationships") + progress_logger.info("Updating Final Relationships") merged_relationships_df = await _update_relationships( dataframe_dict, storage, update_storage ) # Update and merge final text units - progress_reporter.info("Updating Final Text Units") + progress_logger.info("Updating Final Text Units") merged_text_units = await _update_text_units( dataframe_dict, storage, update_storage, entity_id_mapping ) @@ -124,23 +124,23 @@ async def update_dataframe_outputs( await storage.has("create_final_covariates.parquet") and "create_final_covariates" in dataframe_dict ): - progress_reporter.info("Updating Final Covariates") + progress_logger.info("Updating Final Covariates") await _update_covariates(dataframe_dict, storage, update_storage) # Merge final nodes and update community ids - progress_reporter.info("Updating Final Nodes") + progress_logger.info("Updating Final Nodes") _, community_id_mapping = await _update_nodes( dataframe_dict, storage, update_storage, merged_entities_df ) # Merge final communities - progress_reporter.info("Updating Final Communities") + progress_logger.info("Updating Final Communities") await _update_communities( dataframe_dict, storage, update_storage, community_id_mapping ) # Merge community reports - progress_reporter.info("Updating Final Community Reports") + progress_logger.info("Updating Final Community Reports") merged_community_reports = await _update_community_reports( dataframe_dict, storage, update_storage, community_id_mapping ) @@ -151,7 +151,7 @@ async def update_dataframe_outputs( ) # Generate text embeddings - progress_reporter.info("Updating Text Embeddings") + progress_logger.info("Updating Text Embeddings") await generate_text_embeddings( final_documents=final_documents_df, final_relationships=merged_relationships_df, diff --git a/graphrag/index/validate_config.py b/graphrag/index/validate_config.py index 4ea6a56299..07e4638fc3 100644 --- a/graphrag/index/validate_config.py +++ b/graphrag/index/validate_config.py @@ -10,12 +10,10 @@ from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.llm.load_llm import load_llm, load_llm_embeddings -from graphrag.logging.print_progress import ProgressReporter +from graphrag.logger.print_progress import ProgressLogger -def validate_config_names( - reporter: ProgressReporter, parameters: GraphRagConfig -) -> None: +def validate_config_names(logger: ProgressLogger, parameters: GraphRagConfig) -> None: """Validate config file for LLM deployment name typos.""" # Validate Chat LLM configs llm = load_llm( @@ -26,9 +24,9 @@ def validate_config_names( ) try: asyncio.run(llm("This is an LLM connectivity test. Say Hello World")) - reporter.success("LLM Config Params Validated") + logger.success("LLM Config Params Validated") except Exception as e: # noqa: BLE001 - reporter.error(f"LLM configuration error detected. Exiting...\n{e}") + logger.error(f"LLM configuration error detected. Exiting...\n{e}") # noqa sys.exit(1) # Validate Embeddings LLM configs @@ -40,7 +38,7 @@ def validate_config_names( ) try: asyncio.run(embed_llm(["This is an LLM Embedding Test String"])) - reporter.success("Embedding LLM Config Params Validated") + logger.success("Embedding LLM Config Params Validated") except Exception as e: # noqa: BLE001 - reporter.error(f"Embedding LLM configuration error detected. Exiting...\n{e}") + logger.error(f"Embedding LLM configuration error detected. Exiting...\n{e}") # noqa sys.exit(1) diff --git a/graphrag/logging/__init__.py b/graphrag/logger/__init__.py similarity index 63% rename from graphrag/logging/__init__.py rename to graphrag/logger/__init__.py index 9f5fe0de3a..d209b11266 100644 --- a/graphrag/logging/__init__.py +++ b/graphrag/logger/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Logging utilities and implementations.""" +"""Logger utilities and implementations.""" diff --git a/graphrag/logging/base.py b/graphrag/logger/base.py similarity index 72% rename from graphrag/logging/base.py rename to graphrag/logger/base.py index 3afb69aaba..b730668e87 100644 --- a/graphrag/logging/base.py +++ b/graphrag/logger/base.py @@ -10,24 +10,24 @@ class StatusLogger(ABC): - """Provides a way to report status updates from the pipeline.""" + """Provides a way to log status updates from the pipeline.""" @abstractmethod def error(self, message: str, details: dict[str, Any] | None = None): - """Report an error.""" + """Log an error.""" @abstractmethod def warning(self, message: str, details: dict[str, Any] | None = None): - """Report a warning.""" + """Log a warning.""" @abstractmethod def log(self, message: str, details: dict[str, Any] | None = None): """Report a log.""" -class ProgressReporter(ABC): +class ProgressLogger(ABC): """ - Abstract base class for progress reporters. + Abstract base class for progress loggers. This is used to report workflow processing progress via mechanisms like progress-bars. """ @@ -38,10 +38,10 @@ def __call__(self, update: Progress): @abstractmethod def dispose(self): - """Dispose of the progress reporter.""" + """Dispose of the progress logger.""" @abstractmethod - def child(self, prefix: str, transient=True) -> "ProgressReporter": + def child(self, prefix: str, transient=True) -> "ProgressLogger": """Create a child progress bar.""" @abstractmethod @@ -50,20 +50,20 @@ def force_refresh(self) -> None: @abstractmethod def stop(self) -> None: - """Stop the progress reporter.""" + """Stop the progress logger.""" @abstractmethod def error(self, message: str) -> None: - """Report an error.""" + """Log an error.""" @abstractmethod def warning(self, message: str) -> None: - """Report a warning.""" + """Log a warning.""" @abstractmethod def info(self, message: str) -> None: - """Report information.""" + """Log information.""" @abstractmethod def success(self, message: str) -> None: - """Report success.""" + """Log success.""" diff --git a/graphrag/logging/console.py b/graphrag/logger/console.py similarity index 73% rename from graphrag/logging/console.py rename to graphrag/logger/console.py index e42269e645..3388ba77b2 100644 --- a/graphrag/logging/console.py +++ b/graphrag/logger/console.py @@ -1,26 +1,26 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Console Reporter.""" +"""Console Log.""" from typing import Any -from graphrag.logging.base import StatusLogger +from graphrag.logger.base import StatusLogger class ConsoleReporter(StatusLogger): - """A reporter that writes to a console.""" + """A logger that writes to a console.""" def error(self, message: str, details: dict[str, Any] | None = None): - """Report an error.""" + """Log an error.""" print(message, details) # noqa T201 def warning(self, message: str, details: dict[str, Any] | None = None): - """Report a warning.""" + """Log a warning.""" _print_warning(message) def log(self, message: str, details: dict[str, Any] | None = None): - """Report a log.""" + """Log a log.""" print(message, details) # noqa T201 diff --git a/graphrag/logger/factory.py b/graphrag/logger/factory.py new file mode 100644 index 0000000000..ef394e2dd9 --- /dev/null +++ b/graphrag/logger/factory.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Factory functions for creating loggers.""" + +from typing import ClassVar + +from graphrag.logger.base import ProgressLogger +from graphrag.logger.null_progress import NullProgressLogger +from graphrag.logger.print_progress import PrintProgressLogger +from graphrag.logger.rich_progress import RichProgressLogger +from graphrag.logger.types import LoggerType + + +class LoggerFactory: + """A factory class for loggers.""" + + logger_types: ClassVar[dict[str, type]] = {} + + @classmethod + def register(cls, logger_type: str, logger: type): + """Register a custom logger implementation.""" + cls.logger_types[logger_type] = logger + + @classmethod + def create_logger( + cls, logger_type: LoggerType | str, kwargs: dict | None = None + ) -> ProgressLogger: + """Create a logger based on the provided type.""" + if kwargs is None: + kwargs = {} + match logger_type: + case LoggerType.RICH: + return RichProgressLogger("GraphRAG Indexer ") + case LoggerType.PRINT: + return PrintProgressLogger("GraphRAG Indexer ") + case LoggerType.NONE: + return NullProgressLogger() + case _: + if logger_type in cls.logger_types: + return cls.logger_types[logger_type](**kwargs) + # default to null logger if no other logger is found + return NullProgressLogger() diff --git a/graphrag/logging/null_progress.py b/graphrag/logger/null_progress.py similarity index 61% rename from graphrag/logging/null_progress.py rename to graphrag/logger/null_progress.py index 4d46400170..ee4fef096d 100644 --- a/graphrag/logging/null_progress.py +++ b/graphrag/logger/null_progress.py @@ -3,19 +3,19 @@ """Null Progress Reporter.""" -from graphrag.logging.base import Progress, ProgressReporter +from graphrag.logger.base import Progress, ProgressLogger -class NullProgressReporter(ProgressReporter): - """A progress reporter that does nothing.""" +class NullProgressLogger(ProgressLogger): + """A progress logger that does nothing.""" def __call__(self, update: Progress) -> None: """Update progress.""" def dispose(self) -> None: - """Dispose of the progress reporter.""" + """Dispose of the progress logger.""" - def child(self, prefix: str, transient: bool = True) -> ProgressReporter: + def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress bar.""" return self @@ -23,16 +23,16 @@ def force_refresh(self) -> None: """Force a refresh.""" def stop(self) -> None: - """Stop the progress reporter.""" + """Stop the progress logger.""" def error(self, message: str) -> None: - """Report an error.""" + """Log an error.""" def warning(self, message: str) -> None: - """Report a warning.""" + """Log a warning.""" def info(self, message: str) -> None: - """Report information.""" + """Log information.""" def success(self, message: str) -> None: - """Report success.""" + """Log success.""" diff --git a/graphrag/logging/print_progress.py b/graphrag/logger/print_progress.py similarity index 62% rename from graphrag/logging/print_progress.py rename to graphrag/logger/print_progress.py index 20c45dd38b..39514c0c19 100644 --- a/graphrag/logging/print_progress.py +++ b/graphrag/logger/print_progress.py @@ -1,18 +1,18 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Print Progress Reporter.""" +"""Print Progress Logger.""" -from graphrag.logging.base import Progress, ProgressReporter +from graphrag.logger.base import Progress, ProgressLogger -class PrintProgressReporter(ProgressReporter): - """A progress reporter that does nothing.""" +class PrintProgressLogger(ProgressLogger): + """A progress logger that prints progress to stdout.""" prefix: str def __init__(self, prefix: str): - """Create a new progress reporter.""" + """Create a new progress logger.""" self.prefix = prefix print(f"\n{self.prefix}", end="") # noqa T201 @@ -21,30 +21,30 @@ def __call__(self, update: Progress) -> None: print(".", end="") # noqa T201 def dispose(self) -> None: - """Dispose of the progress reporter.""" + """Dispose of the progress logger.""" - def child(self, prefix: str, transient: bool = True) -> "ProgressReporter": + def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress bar.""" - return PrintProgressReporter(prefix) + return PrintProgressLogger(prefix) def stop(self) -> None: - """Stop the progress reporter.""" + """Stop the progress logger.""" def force_refresh(self) -> None: """Force a refresh.""" def error(self, message: str) -> None: - """Report an error.""" + """Log an error.""" print(f"\n{self.prefix}ERROR: {message}") # noqa T201 def warning(self, message: str) -> None: - """Report a warning.""" + """Log a warning.""" print(f"\n{self.prefix}WARNING: {message}") # noqa T201 def info(self, message: str) -> None: - """Report information.""" + """Log information.""" print(f"\n{self.prefix}INFO: {message}") # noqa T201 def success(self, message: str) -> None: - """Report success.""" + """Log success.""" print(f"\n{self.prefix}SUCCESS: {message}") # noqa T201 diff --git a/graphrag/logging/rich_progress.py b/graphrag/logger/rich_progress.py similarity index 87% rename from graphrag/logging/rich_progress.py rename to graphrag/logger/rich_progress.py index f83261dbd6..22145d12df 100644 --- a/graphrag/logging/rich_progress.py +++ b/graphrag/logger/rich_progress.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Rich-based progress reporter for CLI use.""" +"""Rich-based progress logger for CLI use.""" # Print iterations progress import asyncio @@ -13,12 +13,12 @@ from rich.spinner import Spinner from rich.tree import Tree -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger # https://stackoverflow.com/a/34325723 -class RichProgressReporter(ProgressReporter): - """A rich-based progress reporter for CLI use.""" +class RichProgressLogger(ProgressLogger): + """A rich-based progress logger for CLI use.""" _console: Console _group: Group @@ -32,7 +32,7 @@ class RichProgressReporter(ProgressReporter): _last_refresh: float = 0 def dispose(self) -> None: - """Dispose of the progress reporter.""" + """Dispose of the progress logger.""" self._disposing = True self._live.stop() @@ -59,10 +59,10 @@ def live(self) -> Live: def __init__( self, prefix: str, - parent: "RichProgressReporter | None" = None, + parent: "RichProgressLogger | None" = None, transient: bool = True, ) -> None: - """Create a new rich-based progress reporter.""" + """Create a new rich-based progress logger.""" self._prefix = prefix if parent is None: @@ -115,27 +115,27 @@ def force_refresh(self) -> None: self.live.refresh() def stop(self) -> None: - """Stop the progress reporter.""" + """Stop the progress logger.""" self._live.stop() - def child(self, prefix: str, transient: bool = True) -> ProgressReporter: + def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress bar.""" - return RichProgressReporter(parent=self, prefix=prefix, transient=transient) + return RichProgressLogger(parent=self, prefix=prefix, transient=transient) def error(self, message: str) -> None: - """Report an error.""" + """Log an error.""" self._console.print(f"❌ [red]{message}[/red]") def warning(self, message: str) -> None: - """Report a warning.""" + """Log a warning.""" self._console.print(f"⚠️ [yellow]{message}[/yellow]") def success(self, message: str) -> None: - """Report success.""" + """Log success.""" self._console.print(f"🚀 [green]{message}[/green]") def info(self, message: str) -> None: - """Report information.""" + """Log information.""" self._console.print(message) def __call__(self, progress_update: DSProgress) -> None: diff --git a/graphrag/logger/types.py b/graphrag/logger/types.py new file mode 100644 index 0000000000..928211b972 --- /dev/null +++ b/graphrag/logger/types.py @@ -0,0 +1,22 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Logging types. + +This module defines the types of loggers that can be used. +""" + +from enum import Enum + + +# Note: Code in this module was not included in the factory module because it negatively impacts the CLI experience. +class LoggerType(str, Enum): + """The type of logger to use.""" + + RICH = "rich" + PRINT = "print" + NONE = "none" + + def __str__(self): + """Return a string representation of the enum value.""" + return self.value diff --git a/graphrag/logging/factory.py b/graphrag/logging/factory.py deleted file mode 100644 index 9deefb3207..0000000000 --- a/graphrag/logging/factory.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Factory functions for creating loggers.""" - -from graphrag.logging.base import ProgressReporter -from graphrag.logging.null_progress import NullProgressReporter -from graphrag.logging.print_progress import PrintProgressReporter -from graphrag.logging.rich_progress import RichProgressReporter -from graphrag.logging.types import ReporterType - - -def create_progress_reporter( - reporter_type: ReporterType = ReporterType.NONE, -) -> ProgressReporter: - """Load a progress reporter. - - Parameters - ---------- - reporter_type : {"rich", "print", "none"}, default=rich - The type of progress reporter to load. - - Returns - ------- - ProgressReporter - """ - match reporter_type: - case ReporterType.RICH: - return RichProgressReporter("GraphRAG Indexer ") - case ReporterType.PRINT: - return PrintProgressReporter("GraphRAG Indexer ") - case ReporterType.NONE: - return NullProgressReporter() - case _: - msg = f"Invalid progress reporter type: {reporter_type}" - raise ValueError(msg) diff --git a/graphrag/logging/types.py b/graphrag/logging/types.py deleted file mode 100644 index d852a47e8d..0000000000 --- a/graphrag/logging/types.py +++ /dev/null @@ -1,18 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Types for status reporting.""" - -from enum import Enum - - -class ReporterType(str, Enum): - """The type of reporter to use.""" - - RICH = "rich" - PRINT = "print" - NONE = "none" - - def __str__(self): - """Return the string representation of the enum value.""" - return self.value diff --git a/graphrag/model/__init__.py b/graphrag/model/__init__.py index 6523d9d916..3c0de524cd 100644 --- a/graphrag/model/__init__.py +++ b/graphrag/model/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""GraphRAG knowledge model package root.""" +"""Knowledge model package.""" diff --git a/graphrag/prompt_tune/loader/input.py b/graphrag/prompt_tune/loader/input.py index bbf9c5b17d..0a1bdbe7ae 100644 --- a/graphrag/prompt_tune/loader/input.py +++ b/graphrag/prompt_tune/loader/input.py @@ -15,7 +15,7 @@ from graphrag.index.input.factory import create_input from graphrag.index.llm.load_llm import load_llm_embeddings from graphrag.index.operations.chunk_text import chunk_text -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger from graphrag.prompt_tune.defaults import ( MIN_CHUNK_OVERLAP, MIN_CHUNK_SIZE, @@ -54,7 +54,7 @@ async def load_docs_in_chunks( config: GraphRagConfig, select_method: DocSelectionType, limit: int, - reporter: ProgressReporter, + logger: ProgressLogger, chunk_size: int = MIN_CHUNK_SIZE, n_subset_max: int = N_SUBSET_MAX, k: int = K, @@ -64,7 +64,7 @@ async def load_docs_in_chunks( config.embeddings.resolved_strategy()["llm"] ) - dataset = await create_input(config.input, reporter, root) + dataset = await create_input(config.input, logger, root) # covert to text units chunk_strategy = config.chunks.resolved_strategy(defs.ENCODING_MODEL) diff --git a/graphrag/prompts/index/__init__.py b/graphrag/prompts/index/__init__.py index 6377063bb6..f7216c03af 100644 --- a/graphrag/prompts/index/__init__.py +++ b/graphrag/prompts/index/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""All prompts for indexing.""" +"""All prompts for the indexing engine.""" diff --git a/graphrag/prompts/query/__init__.py b/graphrag/prompts/query/__init__.py index 79ebce00d8..8e8ef1e872 100644 --- a/graphrag/prompts/query/__init__.py +++ b/graphrag/prompts/query/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""All prompts for query.""" +"""All prompts for the query engine.""" diff --git a/graphrag/query/llm/oai/base.py b/graphrag/query/llm/oai/base.py index 0bdea9c1b3..5c9e3d78f2 100644 --- a/graphrag/query/llm/oai/base.py +++ b/graphrag/query/llm/oai/base.py @@ -8,8 +8,8 @@ from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI -from graphrag.logging.base import StatusLogger -from graphrag.logging.console import ConsoleReporter +from graphrag.logger.base import StatusLogger +from graphrag.logger.console import ConsoleReporter from graphrag.query.llm.base import BaseTextEmbedding from graphrag.query.llm.oai.typing import OpenaiApiType @@ -101,7 +101,7 @@ def __init__( organization: str | None = None, max_retries: int = 10, request_timeout: float = 180.0, - reporter: StatusLogger | None = None, + logger: StatusLogger | None = None, ): self.api_key = api_key self.azure_ad_token_provider = azure_ad_token_provider @@ -112,7 +112,7 @@ def __init__( self.organization = organization self.max_retries = max_retries self.request_timeout = request_timeout - self.reporter = reporter or ConsoleReporter() + self.logger = logger or ConsoleReporter() try: # Create OpenAI sync and async clients diff --git a/graphrag/query/llm/oai/chat_openai.py b/graphrag/query/llm/oai/chat_openai.py index 8daadd750b..ad626a3974 100644 --- a/graphrag/query/llm/oai/chat_openai.py +++ b/graphrag/query/llm/oai/chat_openai.py @@ -15,7 +15,7 @@ wait_exponential_jitter, ) -from graphrag.logging.base import StatusLogger +from graphrag.logger.base import StatusLogger from graphrag.query.llm.base import BaseLLM, BaseLLMCallback from graphrag.query.llm.oai.base import OpenAILLMImpl from graphrag.query.llm.oai.typing import ( @@ -42,7 +42,7 @@ def __init__( max_retries: int = 10, request_timeout: float = 180.0, retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore - reporter: StatusLogger | None = None, + logger: StatusLogger | None = None, ): OpenAILLMImpl.__init__( self=self, @@ -55,7 +55,7 @@ def __init__( organization=organization, max_retries=max_retries, request_timeout=request_timeout, - reporter=reporter, + logger=logger, ) self.model = model self.retry_error_types = retry_error_types diff --git a/graphrag/query/llm/oai/embedding.py b/graphrag/query/llm/oai/embedding.py index 006a9588b6..b8a4dfcd38 100644 --- a/graphrag/query/llm/oai/embedding.py +++ b/graphrag/query/llm/oai/embedding.py @@ -18,7 +18,7 @@ wait_exponential_jitter, ) -from graphrag.logging.base import StatusLogger +from graphrag.logger.base import StatusLogger from graphrag.query.llm.base import BaseTextEmbedding from graphrag.query.llm.oai.base import OpenAILLMImpl from graphrag.query.llm.oai.typing import ( @@ -46,7 +46,7 @@ def __init__( max_retries: int = 10, request_timeout: float = 180.0, retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore - reporter: StatusLogger | None = None, + logger: StatusLogger | None = None, ): OpenAILLMImpl.__init__( self=self, @@ -59,7 +59,7 @@ def __init__( organization=organization, max_retries=max_retries, request_timeout=request_timeout, - reporter=reporter, + logger=logger, ) self.model = model diff --git a/graphrag/storage/blob_pipeline_storage.py b/graphrag/storage/blob_pipeline_storage.py index 560c2eb048..c7081644e8 100644 --- a/graphrag/storage/blob_pipeline_storage.py +++ b/graphrag/storage/blob_pipeline_storage.py @@ -13,7 +13,7 @@ from azure.storage.blob import BlobServiceClient from datashaper import Progress -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -32,7 +32,7 @@ def __init__( self, connection_string: str | None, container_name: str, - encoding: str | None = None, + encoding: str = "utf-8", path_prefix: str | None = None, storage_account_blob_url: str | None = None, ): @@ -50,7 +50,7 @@ def __init__( account_url=storage_account_blob_url, credential=DefaultAzureCredential(), ) - self._encoding = encoding or "utf-8" + self._encoding = encoding self._container_name = container_name self._connection_string = connection_string self._path_prefix = path_prefix or "" @@ -95,7 +95,7 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressReporter | None = None, + progress: ProgressLogger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -179,7 +179,7 @@ async def get( blob_client = container_client.get_blob_client(key) blob_data = blob_client.download_blob().readall() if not as_bytes: - coding = encoding or "utf-8" + coding = encoding or self._encoding blob_data = blob_data.decode(coding) except Exception: log.exception("Error getting key %s", key) @@ -198,7 +198,7 @@ async def set(self, key: str, value: Any, encoding: str | None = None) -> None: if isinstance(value, bytes): blob_client.upload_blob(value, overwrite=True) else: - coding = encoding or "utf-8" + coding = encoding or self._encoding blob_client.upload_blob(value.encode(coding), overwrite=True) except Exception: log.exception("Error setting key %s: %s", key) diff --git a/graphrag/storage/factory.py b/graphrag/storage/factory.py index b3efc3d5ed..d245442a75 100644 --- a/graphrag/storage/factory.py +++ b/graphrag/storage/factory.py @@ -5,7 +5,7 @@ from __future__ import annotations -from typing import TYPE_CHECKING, cast +from typing import TYPE_CHECKING, ClassVar from graphrag.config.enums import StorageType from graphrag.storage.blob_pipeline_storage import create_blob_storage @@ -13,29 +13,36 @@ from graphrag.storage.memory_pipeline_storage import MemoryPipelineStorage if TYPE_CHECKING: - from graphrag.index.config.storage import ( - PipelineBlobStorageConfig, - PipelineFileStorageConfig, - PipelineStorageConfig, - ) - - -def create_storage(config: PipelineStorageConfig): - """Create a storage object based on the config.""" - match config.type: - case StorageType.memory: - return MemoryPipelineStorage() - case StorageType.blob: - config = cast("PipelineBlobStorageConfig", config) - return create_blob_storage( - config.connection_string, - config.storage_account_blob_url, - config.container_name, - config.base_dir, - ) - case StorageType.file: - config = cast("PipelineFileStorageConfig", config) - return create_file_storage(config.base_dir) - case _: - msg = f"Unknown storage type: {config.type}" - raise ValueError(msg) + from graphrag.storage.pipeline_storage import PipelineStorage + + +class StorageFactory: + """A factory class for storage implementations. + + Includes a method for users to register a custom storage implementation. + """ + + storage_types: ClassVar[dict[str, type]] = {} + + @classmethod + def register(cls, storage_type: str, storage: type): + """Register a custom storage implementation.""" + cls.storage_types[storage_type] = storage + + @classmethod + def create_storage( + cls, storage_type: StorageType | str, kwargs: dict + ) -> PipelineStorage: + """Create or get a storage object from the provided type.""" + match storage_type: + case StorageType.blob: + return create_blob_storage(**kwargs) + case StorageType.file: + return create_file_storage(**kwargs) + case StorageType.memory: + return MemoryPipelineStorage() + case _: + if storage_type in cls.storage_types: + return cls.storage_types[storage_type](**kwargs) + msg = f"Unknown storage type: {storage_type}" + raise ValueError(msg) diff --git a/graphrag/storage/file_pipeline_storage.py b/graphrag/storage/file_pipeline_storage.py index 12c08cdc10..895616d62a 100644 --- a/graphrag/storage/file_pipeline_storage.py +++ b/graphrag/storage/file_pipeline_storage.py @@ -16,7 +16,7 @@ from aiofiles.ospath import exists from datashaper import Progress -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -28,17 +28,17 @@ class FilePipelineStorage(PipelineStorage): _root_dir: str _encoding: str - def __init__(self, root_dir: str | None = None, encoding: str | None = None): + def __init__(self, root_dir: str = "", encoding: str = "utf-8"): """Init method definition.""" - self._root_dir = root_dir or "" - self._encoding = encoding or "utf-8" + self._root_dir = root_dir + self._encoding = encoding Path(self._root_dir).mkdir(parents=True, exist_ok=True) def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressReporter | None = None, + progress: ProgressLogger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -152,10 +152,11 @@ def join_path(file_path: str, file_name: str) -> Path: return Path(file_path) / Path(file_name).parent / Path(file_name).name -def create_file_storage(out_dir: str | None) -> PipelineStorage: +def create_file_storage(**kwargs: Any) -> PipelineStorage: """Create a file based storage.""" - log.info("Creating file storage at %s", out_dir) - return FilePipelineStorage(out_dir) + base_dir = kwargs["base_dir"] + log.info("Creating file storage at %s", base_dir) + return FilePipelineStorage(root_dir=base_dir) def _create_progress_status( diff --git a/graphrag/storage/pipeline_storage.py b/graphrag/storage/pipeline_storage.py index ec67b43234..f771190e81 100644 --- a/graphrag/storage/pipeline_storage.py +++ b/graphrag/storage/pipeline_storage.py @@ -8,7 +8,7 @@ from collections.abc import Iterator from typing import Any -from graphrag.logging.base import ProgressReporter +from graphrag.logger.base import ProgressLogger class PipelineStorage(metaclass=ABCMeta): @@ -19,7 +19,7 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressReporter | None = None, + progress: ProgressLogger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: diff --git a/graphrag/utils/storage.py b/graphrag/utils/storage.py index 9c8839b33b..a28b0c4c1c 100644 --- a/graphrag/utils/storage.py +++ b/graphrag/utils/storage.py @@ -19,7 +19,7 @@ async def load_table_from_storage(name: str, storage: PipelineStorage) -> pd.Dat msg = f"Could not find {name} in storage!" raise ValueError(msg) try: - log.info("read table from storage: %s", name) + log.info("reading table from storage: %s", name) return pd.read_parquet(BytesIO(await storage.get(name, as_bytes=True))) except Exception: log.exception("error loading table from storage: %s", name) diff --git a/graphrag/vector_stores/factory.py b/graphrag/vector_stores/factory.py index 174a5c98d0..eedbefab13 100644 --- a/graphrag/vector_stores/factory.py +++ b/graphrag/vector_stores/factory.py @@ -7,6 +7,7 @@ from typing import ClassVar from graphrag.vector_stores.azure_ai_search import AzureAISearch +from graphrag.vector_stores.base import BaseVectorStore from graphrag.vector_stores.lancedb import LanceDBVectorStore @@ -24,14 +25,14 @@ class VectorStoreFactory: @classmethod def register(cls, vector_store_type: str, vector_store: type): - """Register a vector store type.""" + """Register a custom vector store implementation.""" cls.vector_store_types[vector_store_type] = vector_store @classmethod - def get_vector_store( + def create_vector_store( cls, vector_store_type: VectorStoreType | str, kwargs: dict - ) -> LanceDBVectorStore | AzureAISearch: - """Get the vector store type from a string.""" + ) -> BaseVectorStore: + """Create or get a vector store from the provided type.""" match vector_store_type: case VectorStoreType.LanceDB: return LanceDBVectorStore(**kwargs) diff --git a/poetry.lock b/poetry.lock index 7f364e763b..1676fbb6da 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,13 +13,13 @@ files = [ [[package]] name = "aiolimiter" -version = "1.2.0" +version = "1.2.1" description = "asyncio rate limiter, a leaky bucket implementation" optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "aiolimiter-1.2.0-py3-none-any.whl", hash = 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./tests/unit" test_integration = "pytest ./tests/integration" @@ -146,7 +145,6 @@ query = "python -m graphrag query" prompt_tune = "python -m graphrag prompt-tune" # Pass in a test pattern test_only = "pytest -s -k" - serve_docs = "mkdocs serve" build_docs = "mkdocs build" diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py index 89dbc82112..1f0c449753 100644 --- a/tests/smoke/test_fixtures.py +++ b/tests/smoke/test_fixtures.py @@ -137,7 +137,7 @@ def __run_indexer( "--verbose" if debug else None, "--root", root.resolve().as_posix(), - "--reporter", + "--logger", "print", ] command = [arg for arg in command if arg]