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https://github.com/trustgraph-ai/trustgraph.git
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0e2db095e3
* - Added docker-compose-storage.yaml, just the infrastructure bits - Tidied storage invocation * Util, sits on chunker output and reports histogram of chunk sizes
100 lines
2.2 KiB
Python
Executable file
100 lines
2.2 KiB
Python
Executable file
#!/usr/bin/env python3
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"""
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Accepts entity/vector pairs and writes them to a Milvus store.
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"""
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from trustgraph.schema import Chunk
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from trustgraph.schema import chunk_ingest_queue
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from trustgraph.log_level import LogLevel
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from trustgraph.base import Consumer
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from threading import Thread, Lock
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import time
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module = "test-chunk-size"
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default_input_queue = chunk_ingest_queue
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default_subscriber = module
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default_store_uri = 'http://localhost:19530'
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class Processor(Consumer):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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subscriber = params.get("subscriber", default_subscriber)
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width = params.get("width", 200)
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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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"subscriber": subscriber,
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"input_schema": Chunk,
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}
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)
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self.sizes = {}
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self.width = width
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self.lock = Lock()
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Thread(target=self.report).start()
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def report(self):
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while True:
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time.sleep(1)
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print()
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with self.lock:
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tot = 0
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for i in range(0, 20000, self.width):
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k = (i, i + self.width)
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if k in self.sizes:
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print(f"{i:5d} ..{i+self.width:5d}: {self.sizes[k]}")
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tot += self.sizes[k]
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print(f"{'Total':13s}: {tot}")
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def handle(self, msg):
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v = msg.value()
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chunk = v.chunk.decode("utf-8")
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l = len(chunk)
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low = int(l / self.width) * self.width
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high = low + self.width
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key = (low, high)
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with self.lock:
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if key not in self.sizes:
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self.sizes[key] = 0
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self.sizes[key] += 1
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@staticmethod
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def add_args(parser):
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Consumer.add_args(
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parser, default_input_queue, default_subscriber,
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)
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parser.add_argument(
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'--width',
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type=int,
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default=200,
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help=f'Histogram width (default: 200)',
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)
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def run():
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Processor.start(module, __doc__)
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run()
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