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Added a draft implementation of the preprocessor chain.

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ilya-kolchinsky 2025-03-05 17:17:17 +01:00
parent 16764a2f06
commit b981181b25
7 changed files with 180 additions and 46 deletions
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28
llama_stack/providers/inline/tool_runtime/rag/memory.py
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@ -18,7 +18,12 @@ from llama_stack.apis.common.content_types import (
TextContentItem,
)
from llama_stack.apis.inference import Inference
from llama_stack.apis.preprocessing import Preprocessing, PreprocessingDataFormat, PreprocessingInput
from llama_stack.apis.preprocessing import (
Preprocessing,
PreprocessingDataFormat,
PreprocessorChainElement,
PreprocessorInput,
)
from llama_stack.apis.tools import (
RAGDocument,
RAGQueryConfig,
@ -67,17 +72,16 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
vector_db_id: str,
chunk_size_in_tokens: int = 512,
) -> None:
preprocessing_inputs = [self._rag_document_to_preprocessing_input(d) for d in documents]
conversion_response = await self.preprocessing_api.preprocess(
preprocessor_id="builtin::basic", preprocessor_inputs=preprocessing_inputs
preprocessor_inputs = [self._rag_document_to_preprocessor_input(d) for d in documents]
preprocessor_chain = [
PreprocessorChainElement(preprocessor_id="builtin::basic"),
PreprocessorChainElement(preprocessor_id="builtin::chunking"),
]
preprocessor_response = await self.preprocessing_api.chain_preprocess(
preprocessors=preprocessor_chain, preprocessor_inputs=preprocessor_inputs
)
converted_inputs = conversion_response.results
chunking_response = await self.preprocessing_api.preprocess(
preprocessor_id="builtin::chunking", preprocessor_inputs=converted_inputs
)
chunks = chunking_response.results
chunks = preprocessor_response.results
if not chunks:
return
@ -197,13 +201,13 @@ class MemoryToolRuntimeImpl(ToolsProtocolPrivate, ToolRuntime, RAGToolRuntime):
)
@staticmethod
def _rag_document_to_preprocessing_input(document: RAGDocument) -> PreprocessingInput:
def _rag_document_to_preprocessor_input(document: RAGDocument) -> PreprocessorInput:
if document.mime_type == "application/pdf":
preprocessor_input_format = PreprocessingDataFormat.pdf
else:
preprocessor_input_format = None
return PreprocessingInput(
return PreprocessorInput(
preprocessor_input_id=document.document_id,
preprocessor_input_format=preprocessor_input_format,
path_or_content=document.content,