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https://github.com/trustgraph-ai/trustgraph.git
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- Paginate heavy Cassandra reads (triples, graph/document embeddings) using synchronous session.execute() in run_in_executor with fetch_size paging, preventing materialization hang on large result sets - Fix document stream endpoint to use workspace-scoped librarian queues - Add decoder error handling for PDF/OCR/unstructured processors - Add WebSocket mux guards for missing auth fields - Add null check in librarian document streaming - Rewrite get_document_content CLI to stream via librarian - Add Poppler dependency to unstructured container
69 lines
2 KiB
Python
69 lines
2 KiB
Python
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import asyncio
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import uuid
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import logging
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from . librarian import LibrarianRequestor
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from ... schema import librarian_request_queue, librarian_response_queue
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# Module logger
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logger = logging.getLogger(__name__)
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class DocumentStreamExport:
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def __init__(self, backend):
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self.backend = backend
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async def process(self, data, error, ok, request):
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workspace = request.query.get("workspace", "default")
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document_id = request.query.get("document-id")
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chunk_size = int(request.query.get("chunk-size", 1024 * 1024))
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if not document_id:
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return await error("Missing required parameter: document-id")
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response = await ok()
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uid = str(uuid.uuid4())
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lr = LibrarianRequestor(
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backend=self.backend,
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consumer="api-gateway-doc-stream-" + uid,
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subscriber="api-gateway-doc-stream-" + uid,
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request_queue=f"{librarian_request_queue}:{workspace}",
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response_queue=f"{librarian_response_queue}:{workspace}",
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)
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try:
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await lr.start()
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async def responder(resp, fin):
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if "content" in resp:
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content = resp["content"]
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# Content is base64 encoded, write as-is for client to decode
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# Or decode here and write raw bytes
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import base64
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chunk_data = base64.b64decode(content)
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await response.write(chunk_data)
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await lr.process(
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{
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"operation": "stream-document",
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"workspace": workspace,
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"document-id": document_id,
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"chunk-size": chunk_size,
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},
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responder
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)
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except Exception as e:
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logger.error(f"Document stream exception: {e}", exc_info=True)
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finally:
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await lr.stop()
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await response.write_eof()
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return response
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