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Add support for batched analysis? #80

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50 changes: 45 additions & 5 deletions fast_graphrag/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,24 +4,35 @@

from dataclasses import dataclass, field
from typing import Type
import logging

from fast_graphrag._llm import DefaultEmbeddingService, DefaultLLMService
from fast_graphrag._llm._base import BaseEmbeddingService
from fast_graphrag._llm._llm_openai import BaseLLMService
from fast_graphrag._policies._base import BaseGraphUpsertPolicy
from fast_graphrag._policies._batch_graph_upsert import (
EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM_BatchAsync,
EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM_PreparePrompts,
NodeUpsertPolicy_SummarizeDescription_BatchAsync,
NodeUpsertPolicy_SummarizeDescription_PreparePrompts,
)
from fast_graphrag._policies._graph_upsert import (
DefaultGraphUpsertPolicy,
EdgeUpsertPolicy_UpsertIfValidNodes,
EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM,
NodeUpsertPolicy_SummarizeDescription,
)
from fast_graphrag._policies._ranking import RankingPolicy_TopK, RankingPolicy_WithThreshold
from fast_graphrag._policies._ranking import (
RankingPolicy_TopK,
RankingPolicy_WithThreshold,
)
from fast_graphrag._services import (
BaseChunkingService,
BaseInformationExtractionService,
BaseStateManagerService,
DefaultChunkingService,
DefaultInformationExtractionService,
BatchInformationExtractionService,
DefaultStateManagerService,
)
from fast_graphrag._storage import (
Expand All @@ -32,7 +43,15 @@
DefaultVectorStorageConfig,
)
from fast_graphrag._storage._namespace import Workspace
from fast_graphrag._types import TChunk, TEmbedding, TEntity, THash, TId, TIndex, TRelation
from fast_graphrag._types import (
TChunk,
TEmbedding,
TEntity,
THash,
TId,
TIndex,
TRelation,
)

from ._graphrag import BaseGraphRAG, QueryParam

Expand All @@ -49,6 +68,9 @@ class Config:
information_extraction_service_cls: Type[BaseInformationExtractionService[TChunk, TEntity, TRelation, TId]] = (
field(default=DefaultInformationExtractionService)
)
batch_information_extraction_service_cls: Type[
BaseInformationExtractionService[TChunk, TEntity, TRelation, TId]
] = field(default=BatchInformationExtractionService)
information_extraction_upsert_policy: BaseGraphUpsertPolicy[TEntity, TRelation, TId] = field(
default_factory=lambda: DefaultGraphUpsertPolicy(
config=NodeUpsertPolicy_SummarizeDescription.Config(),
Expand All @@ -67,9 +89,7 @@ class Config:
default_factory=lambda: DefaultGraphStorage(DefaultGraphStorageConfig(node_cls=TEntity, edge_cls=TRelation))
)
entity_storage: DefaultVectorStorage[TIndex, TEmbedding] = field(
default_factory=lambda: DefaultVectorStorage(
DefaultVectorStorageConfig()
)
default_factory=lambda: DefaultVectorStorage(DefaultVectorStorageConfig())
)
chunk_storage: DefaultIndexedKeyValueStorage[THash, TChunk] = field(
default_factory=lambda: DefaultIndexedKeyValueStorage(None)
Expand All @@ -87,9 +107,21 @@ class Config:
node_upsert_policy: NodeUpsertPolicy_SummarizeDescription = field(
default_factory=lambda: NodeUpsertPolicy_SummarizeDescription()
)
batch_node_upsert_policy: NodeUpsertPolicy_SummarizeDescription_BatchAsync = field(
default_factory=lambda: NodeUpsertPolicy_SummarizeDescription_BatchAsync()
)
batch_node_upsert_prompt_policy: NodeUpsertPolicy_SummarizeDescription_PreparePrompts() = field(
default_factory=lambda: NodeUpsertPolicy_SummarizeDescription_PreparePrompts()
)
edge_upsert_policy: EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM = field(
default_factory=lambda: EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM()
)
batch_edge_upsert_policy: EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM_BatchAsync = field(
default_factory=lambda: EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM_BatchAsync()
)
batch_edge_upsert_prompt_policy: EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM_PreparePrompts = field(
default_factory=lambda: EdgeUpsertPolicy_UpsertValidAndMergeSimilarByLLM_PreparePrompts()
)

def __post_init__(self):
"""Initialize the GraphRAG Config class."""
Expand All @@ -105,6 +137,9 @@ def __post_init__(self):
self.information_extraction_service = self.config.information_extraction_service_cls(
graph_upsert=self.config.information_extraction_upsert_policy
)
self.batch_information_extraction_service = self.config.batch_information_extraction_service_cls(
graph_upsert=self.config.information_extraction_upsert_policy
)
self.state_manager = self.config.state_manager_cls(
workspace=Workspace.new(self.working_dir, keep_n=self.n_checkpoints),
embedding_service=self.embedding_service,
Expand All @@ -114,5 +149,10 @@ def __post_init__(self):
entity_ranking_policy=self.config.entity_ranking_policy,
chunk_ranking_policy=self.config.chunk_ranking_policy,
node_upsert_policy=self.config.node_upsert_policy,
batch_node_upsert_policy=self.config.batch_node_upsert_policy,
batch_node_upsert_prompt_policy=self.config.batch_node_upsert_prompt_policy,
edge_upsert_policy=self.config.edge_upsert_policy,
batch_edge_upsert_policy=self.config.batch_edge_upsert_policy,
batch_edge_upsert_prompt_policy=self.config.batch_edge_upsert_prompt_policy,
)
logging.basicConfig(filename="graphrag2.log", level=logging.DEBUG)
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