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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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31
llama_stack/providers/inline/preprocessing/basic/basic.py
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@ -14,10 +14,11 @@ from llama_stack.apis.preprocessing import (
Preprocessing,
PreprocessingDataFormat,
PreprocessingDataType,
PreprocessingInput,
PreprocessingResponse,
Preprocessor,
PreprocessorChain,
PreprocessorInput,
PreprocessorOptions,
PreprocessorResponse,
)
from llama_stack.providers.datatypes import PreprocessorsProtocolPrivate
from llama_stack.providers.inline.preprocessing.basic.config import InlineBasicPreprocessorConfig
@ -29,14 +30,14 @@ log = logging.getLogger(__name__)
class InclineBasicPreprocessorImpl(Preprocessing, PreprocessorsProtocolPrivate):
# this preprocessor can either receive documents (text or binary) or document URIs
INPUT_TYPES = [
input_types = [
PreprocessingDataType.binary_document,
PreprocessingDataType.raw_text_document,
PreprocessingDataType.document_uri,
]
# this preprocessor optionally retrieves the documents and converts them into plain text
OUTPUT_TYPES = [PreprocessingDataType.raw_text_document]
output_types = [PreprocessingDataType.raw_text_document]
URL_VALIDATION_PATTERN = re.compile("^(https?://|file://|data:)")
@ -54,9 +55,9 @@ class InclineBasicPreprocessorImpl(Preprocessing, PreprocessorsProtocolPrivate):
async def preprocess(
self,
preprocessor_id: str,
preprocessor_inputs: List[PreprocessingInput],
preprocessor_inputs: List[PreprocessorInput],
options: Optional[PreprocessorOptions] = None,
) -> PreprocessingResponse:
) -> PreprocessorResponse:
results = []
for inp in preprocessor_inputs:
@ -87,10 +88,18 @@ class InclineBasicPreprocessorImpl(Preprocessing, PreprocessorsProtocolPrivate):
results.append(document)
return PreprocessingResponse(status=True, results=results)
return PreprocessorResponse(status=True, results=results)
async def chain_preprocess(
self,
preprocessors: PreprocessorChain,
preprocessor_inputs: List[PreprocessorInput],
is_rag_chain: Optional[bool] = False,
) -> PreprocessorResponse:
return await self.preprocess(preprocessor_id="", preprocessor_inputs=preprocessor_inputs)
@staticmethod
async def _resolve_input_type(preprocessor_input: PreprocessingInput) -> PreprocessingDataType:
async def _resolve_input_type(preprocessor_input: PreprocessorInput) -> PreprocessingDataType:
if preprocessor_input.preprocessor_input_type is not None:
return preprocessor_input.preprocessor_input_type
@ -104,7 +113,7 @@ class InclineBasicPreprocessorImpl(Preprocessing, PreprocessorsProtocolPrivate):
return PreprocessingDataType.raw_text_document
@staticmethod
async def _fetch_document(preprocessor_input: PreprocessingInput) -> str | None:
async def _fetch_document(preprocessor_input: PreprocessorInput) -> str | None:
if isinstance(preprocessor_input.path_or_content, str):
url = preprocessor_input.path_or_content
if not InclineBasicPreprocessorImpl.URL_VALIDATION_PATTERN.match(url):
@ -125,7 +134,3 @@ class InclineBasicPreprocessorImpl(Preprocessing, PreprocessorsProtocolPrivate):
r = await client.get(url)
return r.content if preprocessor_input.preprocessor_input_format == PreprocessingDataFormat.pdf else r.text
@staticmethod
def is_pdf(preprocessor_input: PreprocessingInput):
return