mirror of
https://github.com/MODSetter/SurfSense.git
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73 lines
2.8 KiB
Python
73 lines
2.8 KiB
Python
from app.config import config as app_config
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from app.etl_pipeline.etl_document import EtlRequest, EtlResult
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from app.etl_pipeline.exceptions import EtlServiceUnavailableError
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from app.etl_pipeline.file_classifier import FileCategory, classify_file
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from app.etl_pipeline.parsers.audio import transcribe_audio
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from app.etl_pipeline.parsers.direct_convert import convert_file_directly
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from app.etl_pipeline.parsers.plaintext import read_plaintext
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class EtlPipelineService:
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"""Single pipeline for extracting markdown from files. All callers use this."""
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async def extract(self, request: EtlRequest) -> EtlResult:
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category = classify_file(request.filename)
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if category == FileCategory.PLAINTEXT:
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content = read_plaintext(request.file_path)
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return EtlResult(
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markdown_content=content,
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etl_service="PLAINTEXT",
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content_type="plaintext",
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)
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if category == FileCategory.DIRECT_CONVERT:
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content = convert_file_directly(request.file_path, request.filename)
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return EtlResult(
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markdown_content=content,
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etl_service="DIRECT_CONVERT",
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content_type="direct_convert",
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)
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if category == FileCategory.AUDIO:
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content = await transcribe_audio(request.file_path, request.filename)
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return EtlResult(
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markdown_content=content,
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etl_service="AUDIO",
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content_type="audio",
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)
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return await self._extract_document(request)
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async def _extract_document(self, request: EtlRequest) -> EtlResult:
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etl_service = app_config.ETL_SERVICE
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if not etl_service:
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raise EtlServiceUnavailableError(
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"No ETL_SERVICE configured. "
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"Set ETL_SERVICE to UNSTRUCTURED, LLAMACLOUD, or DOCLING in your .env"
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)
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if etl_service == "DOCLING":
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from app.etl_pipeline.parsers.docling import parse_with_docling
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content = await parse_with_docling(request.file_path, request.filename)
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elif etl_service == "UNSTRUCTURED":
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from app.etl_pipeline.parsers.unstructured import parse_with_unstructured
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content = await parse_with_unstructured(request.file_path)
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elif etl_service == "LLAMACLOUD":
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from app.etl_pipeline.parsers.llamacloud import parse_with_llamacloud
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content = await parse_with_llamacloud(
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request.file_path, request.estimated_pages
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)
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else:
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raise EtlServiceUnavailableError(
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f"Unknown ETL_SERVICE: {etl_service}"
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)
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return EtlResult(
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markdown_content=content,
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etl_service=etl_service,
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content_type="document",
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)
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