# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import json import tempfile import requests from prefix_data_generator.hasher import hashes_to_texts from prefix_data_generator.synthesizer import Synthesizer # download the mooncake trace file mooncake_trace_permalink = "https://raw.githubusercontent.com/kvcache-ai/Mooncake/f09c501b2a5d73e4d60cdeb612d7d0d54e1ec228/mooncake_trace.jsonl" with tempfile.NamedTemporaryFile(delete=False, suffix=".jsonl", mode="w+b") as tmp_file: response = requests.get(mooncake_trace_permalink) tmp_file.write(response.content) trace_file = tmp_file.name # create the synthesizer synthesizer = Synthesizer( dataset_file=trace_file, block_size=512, # it has to be this, as determined by the mooncake trace speedup_ratio=2, # the requests will be sent twice as fast prefix_root_multiplier=4, # will generate 4 separate prefix roots prefix_len_multiplier=4, # prefix lengths 4 times as long prompt_len_multiplier=0.5, # shorten prompt lengths to make prefix ratio even larger ) # generate requests requests_synth = synthesizer.synthesize_requests( num_requests=100, input_len_filter=( 16384 - 1000 ), # this is what most model defaults to, leaving some room for outpputs ) # convert the hashes into random texts (lorem ipsum), respecting the prefix structure tokenizer = "deepseek-ai/DeepSeek-R1-Distill-Llama-8B" input_texts = hashes_to_texts( tokenizer=tokenizer, hash_ids_list=[req["hash_ids"] for req in requests_synth], input_lengths=[req["input_length"] for req in requests_synth], block_size=512, ) for i, req in enumerate(requests_synth): req["input_text"] = input_texts[i] del req["hash_ids"] output_file = "synthesized_requests.jsonl" with open("synthesized_requests.jsonl", "w") as f: for req in requests_synth: f.write(json.dumps(req) + "\n") print(f"Saved {len(requests_synth)} requests to {output_file}")