mirror of
https://github.com/trustgraph-ai/trustgraph.git
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a9197d11ee
- Keeps processing in different flows separate so that data can go to different stores / collections etc. - Potentially supports different processing flows - Tidies the processing API with common base-classes for e.g. LLMs, and automatic configuration of 'clients' to use the right queue names in a flow
424 lines
12 KiB
Python
Executable file
424 lines
12 KiB
Python
Executable file
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"""
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Librarian service, manages documents in collections
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"""
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from functools import partial
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import asyncio
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import threading
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import queue
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import base64
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from pulsar.schema import JsonSchema
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from .. schema import LibrarianRequest, LibrarianResponse, Error
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from .. schema import librarian_request_queue, librarian_response_queue
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from .. schema import GraphEmbeddings
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from .. schema import graph_embeddings_store_queue
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from .. schema import Triples
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from .. schema import triples_store_queue
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from .. schema import DocumentEmbeddings
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from .. schema import document_embeddings_store_queue
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from .. schema import Document, Metadata
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from .. schema import document_ingest_queue
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from .. schema import TextDocument, Metadata
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from .. schema import text_ingest_queue
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from .. base import Publisher
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from .. base import Subscriber
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from .. log_level import LogLevel
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from .. base import ConsumerProducer
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from .. exceptions import RequestError
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from . librarian import Librarian
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module = "librarian"
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default_input_queue = librarian_request_queue
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default_output_queue = librarian_response_queue
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default_subscriber = module
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default_minio_host = "minio:9000"
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default_minio_access_key = "minioadmin"
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default_minio_secret_key = "minioadmin"
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default_cassandra_host = "cassandra"
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bucket_name = "library"
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# FIXME: How to ensure this doesn't conflict with other usage?
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keyspace = "librarian"
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class Processor(ConsumerProducer):
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def __init__(self, **params):
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self.running = True
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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minio_host = params.get("minio_host", default_minio_host)
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minio_access_key = params.get(
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"minio_access_key",
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default_minio_access_key
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)
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minio_secret_key = params.get(
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"minio_secret_key",
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default_minio_secret_key
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)
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cassandra_host = params.get("cassandra_host", default_cassandra_host)
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cassandra_user = params.get("cassandra_user")
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cassandra_password = params.get("cassandra_password")
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triples_queue = params.get("triples_queue")
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graph_embeddings_queue = params.get("graph_embeddings_queue")
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document_embeddings_queue = params.get("document_embeddings_queue")
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document_load_queue = params.get("document_load_queue")
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text_load_queue = params.get("text_load_queue")
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": LibrarianRequest,
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"output_schema": LibrarianResponse,
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"minio_host": minio_host,
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"minio_access_key": minio_access_key,
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"cassandra_host": cassandra_host,
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"cassandra_user": cassandra_user,
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}
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)
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self.document_load = Publisher(
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self.client, document_load_queue, JsonSchema(Document),
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)
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self.text_load = Publisher(
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self.client, text_load_queue, JsonSchema(TextDocument),
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)
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self.triples_brk = Subscriber(
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self.client, triples_store_queue,
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"librarian", "librarian",
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schema=JsonSchema(Triples),
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)
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self.graph_embeddings_brk = Subscriber(
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self.client, graph_embeddings_store_queue,
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"librarian", "librarian",
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schema=JsonSchema(GraphEmbeddings),
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)
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self.document_embeddings_brk = Subscriber(
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self.client, document_embeddings_store_queue,
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"librarian", "librarian",
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schema=JsonSchema(DocumentEmbeddings),
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)
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self.triples_reader = threading.Thread(
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target=self.receive_triples
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)
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self.graph_embeddings_reader = threading.Thread(
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target=self.receive_graph_embeddings
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)
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self.document_embeddings_reader = threading.Thread(
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target=self.receive_document_embeddings
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)
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self.librarian = Librarian(
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cassandra_host = cassandra_host.split(","),
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cassandra_user = cassandra_user,
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cassandra_password = cassandra_password,
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minio_host = minio_host,
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minio_access_key = minio_access_key,
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minio_secret_key = minio_secret_key,
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bucket_name = bucket_name,
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keyspace = keyspace,
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load_document = self.load_document,
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load_text = self.load_text,
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)
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print("Initialised.", flush=True)
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async def start(self):
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self.document_load.start()
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self.text_load.start()
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self.triples_brk.start()
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self.graph_embeddings_brk.start()
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self.document_embeddings_brk.start()
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self.triples_sub = self.triples_brk.subscribe_all("x")
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self.graph_embeddings_sub = self.graph_embeddings_brk.subscribe_all("x")
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self.document_embeddings_sub = self.document_embeddings_brk.subscribe_all("x")
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self.triples_reader.start()
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self.graph_embeddings_reader.start()
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self.document_embeddings_reader.start()
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def __del__(self):
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self.running = False
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if hasattr(self, "document_load"):
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self.document_load.stop()
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self.document_load.join()
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if hasattr(self, "text_load"):
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self.text_load.stop()
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self.text_load.join()
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if hasattr(self, "triples_sub"):
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self.triples_sub.unsubscribe_all("x")
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if hasattr(self, "graph_embeddings_sub"):
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self.graph_embeddings_sub.unsubscribe_all("x")
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if hasattr(self, "document_embeddings_sub"):
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self.document_embeddings_sub.unsubscribe_all("x")
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if hasattr(self, "triples_brk"):
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self.triples_brk.stop()
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self.triples_brk.join()
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if hasattr(self, "graph_embeddings_brk"):
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self.graph_embeddings_brk.stop()
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self.graph_embeddings_brk.join()
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if hasattr(self, "document_embeddings_brk"):
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self.document_embeddings_brk.stop()
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self.document_embeddings_brk.join()
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def receive_triples(self):
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while self.running:
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try:
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msg = self.triples_sub.get(timeout=1)
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except queue.Empty:
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continue
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self.librarian.handle_triples(msg)
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def receive_graph_embeddings(self):
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while self.running:
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try:
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msg = self.graph_embeddings_sub.get(timeout=1)
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except queue.Empty:
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continue
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self.librarian.handle_graph_embeddings(msg)
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def receive_document_embeddings(self):
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while self.running:
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try:
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msg = self.document_embeddings_sub.get(timeout=1)
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except queue.Empty:
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continue
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self.librarian.handle_document_embeddings(msg)
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async def load_document(self, document):
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doc = Document(
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metadata = Metadata(
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id = document.id,
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metadata = document.metadata,
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user = document.user,
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collection = document.collection
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),
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data = document.document
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)
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self.document_load.send(None, doc)
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async def load_text(self, document):
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text = base64.b64decode(document.document)
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text = text.decode("utf-8")
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doc = TextDocument(
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metadata = Metadata(
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id = document.id,
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metadata = document.metadata,
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user = document.user,
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collection = document.collection
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),
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text = text,
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)
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self.text_load.send(None, doc)
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def parse_request(self, v):
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if v.operation is None:
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raise RequestError("Null operation")
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print("op", v.operation)
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if v.operation == "add":
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if (
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v.document and v.document.id and v.document.metadata and
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v.document.document and v.document.kind
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):
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return partial(
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self.librarian.add,
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document = v.document,
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)
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else:
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raise RequestError("Invalid call")
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if v.operation == "list":
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print("list", v)
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print(v.user)
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if v.user:
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return partial(
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self.librarian.list,
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user = v.user,
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collection = v.collection,
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)
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else:
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print("BROK")
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raise RequestError("Invalid call")
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raise RequestError("Invalid operation: " + v.operation)
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async def handle(self, msg):
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v = msg.value()
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# Sender-produced ID
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id = msg.properties()["id"]
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print(f"Handling input {id}...", flush=True)
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try:
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func = self.parse_request(v)
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except RequestError as e:
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resp = LibrarianResponse(
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error = Error(
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type = "request-error",
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message = str(e),
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)
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)
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await self.send(resp, properties={"id": id})
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return
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try:
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resp = await func()
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print("->", resp)
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except RequestError as e:
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resp = LibrarianResponse(
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error = Error(
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type = "request-error",
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message = str(e),
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)
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)
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await self.send(resp, properties={"id": id})
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return
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except Exception as e:
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print("Exception:", e, flush=True)
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resp = LibrarianResponse(
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error = Error(
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type = "processing-error",
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message = "Unhandled error: " + str(e),
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)
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)
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await self.send(resp, properties={"id": id})
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return
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print("Send response..!.", flush=True)
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await self.send(resp, properties={"id": id})
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print("Done.", flush=True)
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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parser.add_argument(
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'--minio-host',
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default=default_minio_host,
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help=f'Minio hostname (default: {default_minio_host})',
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)
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parser.add_argument(
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'--minio-access-key',
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default='minioadmin',
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help='Minio access key / username '
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f'(default: {default_minio_access_key})',
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)
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parser.add_argument(
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'--minio-secret-key',
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default='minioadmin',
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help='Minio secret key / password '
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f'(default: {default_minio_access_key})',
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)
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parser.add_argument(
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'--cassandra-host',
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default="cassandra",
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help=f'Graph host (default: cassandra)'
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)
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parser.add_argument(
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'--cassandra-user',
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default=None,
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help=f'Cassandra user'
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)
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parser.add_argument(
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'--cassandra-password',
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default=None,
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help=f'Cassandra password'
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)
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parser.add_argument(
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'--triples-queue',
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default=triples_store_queue,
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help=f'Triples queue (default: {triples_store_queue})'
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)
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parser.add_argument(
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'--graph-embeddings-queue',
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default=graph_embeddings_store_queue,
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help=f'Graph embeddings queue (default: {triples_store_queue})'
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)
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parser.add_argument(
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'--document-embeddings-queue',
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default=document_embeddings_store_queue,
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help='Document embeddings queue '
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f'(default: {document_embeddings_store_queue})'
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)
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parser.add_argument(
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'--document-load-queue',
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default=document_ingest_queue,
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help='Document load queue '
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f'(default: {document_ingest_queue})'
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)
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parser.add_argument(
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'--text-load-queue',
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default=text_ingest_queue,
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help='Text ingest queue '
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f'(default: {text_ingest_queue})'
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)
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def run():
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Processor.launch(module, __doc__)
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