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Move chunker/librarian comms to base class
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parent
9df348489b
commit
81812ee262
2 changed files with 4 additions and 239 deletions
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@ -63,116 +63,15 @@ class Processor(ChunkingService):
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)
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)
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# Librarian client for fetching document content
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librarian_request_q = params.get(
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"librarian_request_queue", default_librarian_request_queue
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)
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librarian_response_q = params.get(
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"librarian_response_queue", default_librarian_response_queue
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)
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librarian_request_metrics = ProducerMetrics(
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processor = id, flow = None, name = "librarian-request"
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)
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self.librarian_request_producer = Producer(
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backend = self.pubsub,
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topic = librarian_request_q,
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schema = LibrarianRequest,
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metrics = librarian_request_metrics,
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)
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librarian_response_metrics = ConsumerMetrics(
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processor = id, flow = None, name = "librarian-response"
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)
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self.librarian_response_consumer = Consumer(
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taskgroup = self.taskgroup,
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backend = self.pubsub,
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flow = None,
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topic = librarian_response_q,
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subscriber = f"{id}-librarian",
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schema = LibrarianResponse,
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handler = self.on_librarian_response,
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metrics = librarian_response_metrics,
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)
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# Pending librarian requests: request_id -> asyncio.Future
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self.pending_requests = {}
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logger.info("Recursive chunker initialized")
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async def start(self):
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await super(Processor, self).start()
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await self.librarian_request_producer.start()
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await self.librarian_response_consumer.start()
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async def on_librarian_response(self, msg, consumer, flow):
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"""Handle responses from the librarian service."""
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response = msg.value()
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request_id = msg.properties().get("id")
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if request_id and request_id in self.pending_requests:
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future = self.pending_requests.pop(request_id)
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future.set_result(response)
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else:
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logger.warning(f"Received unexpected librarian response: {request_id}")
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async def fetch_document_content(self, document_id, user, timeout=120):
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"""
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Fetch document content from librarian via Pulsar.
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"""
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request_id = str(uuid.uuid4())
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request = LibrarianRequest(
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operation="get-document-content",
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document_id=document_id,
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user=user,
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)
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# Create future for response
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future = asyncio.get_event_loop().create_future()
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self.pending_requests[request_id] = future
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try:
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# Send request
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await self.librarian_request_producer.send(
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request, properties={"id": request_id}
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)
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# Wait for response
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response = await asyncio.wait_for(future, timeout=timeout)
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if response.error:
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raise RuntimeError(
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f"Librarian error: {response.error.type}: {response.error.message}"
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)
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return response.content
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except asyncio.TimeoutError:
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self.pending_requests.pop(request_id, None)
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raise RuntimeError(f"Timeout fetching document {document_id}")
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async def on_message(self, msg, consumer, flow):
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v = msg.value()
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logger.info(f"Chunking document {v.metadata.id}...")
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# Check if we need to fetch content from librarian
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if v.document_id and not v.text:
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logger.info(f"Fetching document {v.document_id} from librarian...")
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content = await self.fetch_document_content(
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document_id=v.document_id,
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user=v.metadata.user,
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)
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# Content is base64 encoded
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if isinstance(content, str):
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content = content.encode('utf-8')
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text = base64.b64decode(content).decode("utf-8")
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logger.info(f"Fetched {len(text)} characters from librarian")
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else:
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text = v.text.decode("utf-8")
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# Get text content (fetches from librarian if needed)
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text = await self.get_document_text(v)
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# Extract chunk parameters from flow (allows runtime override)
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chunk_size, chunk_overlap = await self.chunk_document(
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@ -233,18 +132,6 @@ class Processor(ChunkingService):
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help=f'Chunk overlap (default: 100)'
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)
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parser.add_argument(
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'--librarian-request-queue',
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default=default_librarian_request_queue,
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help=f'Librarian request queue (default: {default_librarian_request_queue})',
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)
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parser.add_argument(
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'--librarian-response-queue',
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default=default_librarian_response_queue,
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help=f'Librarian response queue (default: {default_librarian_response_queue})',
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)
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def run():
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Processor.launch(default_ident, __doc__)
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@ -4,27 +4,18 @@ Simple decoder, accepts text documents on input, outputs chunks from the
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as text as separate output objects.
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"""
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import asyncio
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import base64
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import logging
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import uuid
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from langchain_text_splitters import TokenTextSplitter
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from prometheus_client import Histogram
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from ... schema import TextDocument, Chunk
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from ... schema import LibrarianRequest, LibrarianResponse
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from ... schema import librarian_request_queue, librarian_response_queue
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from ... base import ChunkingService, ConsumerSpec, ProducerSpec
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from ... base import Consumer, Producer, ConsumerMetrics, ProducerMetrics
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# Module logger
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logger = logging.getLogger(__name__)
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default_ident = "chunker"
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default_librarian_request_queue = librarian_request_queue
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default_librarian_response_queue = librarian_response_queue
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class Processor(ChunkingService):
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@ -71,116 +62,15 @@ class Processor(ChunkingService):
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)
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)
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# Librarian client for fetching document content
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librarian_request_q = params.get(
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"librarian_request_queue", default_librarian_request_queue
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)
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librarian_response_q = params.get(
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"librarian_response_queue", default_librarian_response_queue
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)
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librarian_request_metrics = ProducerMetrics(
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processor = id, flow = None, name = "librarian-request"
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)
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self.librarian_request_producer = Producer(
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backend = self.pubsub,
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topic = librarian_request_q,
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schema = LibrarianRequest,
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metrics = librarian_request_metrics,
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)
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librarian_response_metrics = ConsumerMetrics(
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processor = id, flow = None, name = "librarian-response"
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)
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self.librarian_response_consumer = Consumer(
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taskgroup = self.taskgroup,
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backend = self.pubsub,
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flow = None,
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topic = librarian_response_q,
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subscriber = f"{id}-librarian",
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schema = LibrarianResponse,
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handler = self.on_librarian_response,
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metrics = librarian_response_metrics,
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)
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# Pending librarian requests: request_id -> asyncio.Future
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self.pending_requests = {}
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logger.info("Token chunker initialized")
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async def start(self):
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await super(Processor, self).start()
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await self.librarian_request_producer.start()
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await self.librarian_response_consumer.start()
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async def on_librarian_response(self, msg, consumer, flow):
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"""Handle responses from the librarian service."""
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response = msg.value()
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request_id = msg.properties().get("id")
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if request_id and request_id in self.pending_requests:
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future = self.pending_requests.pop(request_id)
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future.set_result(response)
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else:
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logger.warning(f"Received unexpected librarian response: {request_id}")
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async def fetch_document_content(self, document_id, user, timeout=120):
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"""
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Fetch document content from librarian via Pulsar.
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"""
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request_id = str(uuid.uuid4())
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request = LibrarianRequest(
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operation="get-document-content",
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document_id=document_id,
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user=user,
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)
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# Create future for response
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future = asyncio.get_event_loop().create_future()
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self.pending_requests[request_id] = future
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try:
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# Send request
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await self.librarian_request_producer.send(
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request, properties={"id": request_id}
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)
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# Wait for response
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response = await asyncio.wait_for(future, timeout=timeout)
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if response.error:
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raise RuntimeError(
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f"Librarian error: {response.error.type}: {response.error.message}"
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)
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return response.content
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except asyncio.TimeoutError:
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self.pending_requests.pop(request_id, None)
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raise RuntimeError(f"Timeout fetching document {document_id}")
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async def on_message(self, msg, consumer, flow):
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v = msg.value()
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logger.info(f"Chunking document {v.metadata.id}...")
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# Check if we need to fetch content from librarian
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if v.document_id and not v.text:
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logger.info(f"Fetching document {v.document_id} from librarian...")
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content = await self.fetch_document_content(
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document_id=v.document_id,
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user=v.metadata.user,
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)
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# Content is base64 encoded
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if isinstance(content, str):
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content = content.encode('utf-8')
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text = base64.b64decode(content).decode("utf-8")
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logger.info(f"Fetched {len(text)} characters from librarian")
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else:
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text = v.text.decode("utf-8")
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# Get text content (fetches from librarian if needed)
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text = await self.get_document_text(v)
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# Extract chunk parameters from flow (allows runtime override)
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chunk_size, chunk_overlap = await self.chunk_document(
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@ -240,18 +130,6 @@ class Processor(ChunkingService):
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help=f'Chunk overlap (default: 15)'
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)
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parser.add_argument(
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'--librarian-request-queue',
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default=default_librarian_request_queue,
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help=f'Librarian request queue (default: {default_librarian_request_queue})',
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)
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parser.add_argument(
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'--librarian-response-queue',
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default=default_librarian_response_queue,
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help=f'Librarian response queue (default: {default_librarian_response_queue})',
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)
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def run():
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Processor.launch(default_ident, __doc__)
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