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70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
#!/usr/bin/env python3
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#
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# export_graph.py
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#
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# This source file is part of the FoundationDB open source project
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#
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# Copyright 2013-2024 Apple Inc. and the FoundationDB project authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import json
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import matplotlib.pyplot as plt
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import argparse
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import ddsketch_calc as dd
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# setup cmdline args
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parser = argparse.ArgumentParser(description="Graphs DDSketch distribution")
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parser.add_argument(
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"-t", "--txn", help="Transaction type (ex: g8ui)", required=True, type=str
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)
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parser.add_argument("--file", help="Path to ddsketch json", required=True, type=str)
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parser.add_argument("--title", help="Title for the graph", required=False, type=str)
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parser.add_argument("--savefig", help="Will save the plot to a file if set", type=str)
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parser.add_argument("--op", help="Which OP to plot (casing matters)", type=str)
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args = parser.parse_args()
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# Opening JSON file
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f = open(args.file)
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data = json.load(f)
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# parse json and init sketch
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buckets = data[args.t][args.op]["buckets"]
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error = data[args.t][args.op]["errorGuarantee"]
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sketch = dd.DDSketch(error)
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# trim the tails of the distribution
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ls = [i for i, e in enumerate(buckets) if e != 0]
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actual_data = buckets[ls[0] : ls[-1] + 1]
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indices = range(ls[0], ls[-1] + 1)
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actual_indices = [sketch.getValue(i) for i in indices]
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# configure the x-axis to make more sense
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fig, ax = plt.subplots()
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ax.ticklabel_format(useOffset=False, style="plain")
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plt.plot(actual_indices, actual_data)
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plt.xlabel("Latency (in us)")
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plt.ylabel("Frequency count")
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plt_title = "Title"
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if args.title is not None:
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plt_title = args.title
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plt.title(plt_title)
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plt.xlim([actual_indices[0], actual_indices[-1]])
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if args.savefig is not None:
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plt.savefig(args.savefig, format="png")
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else:
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plt.show()
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