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#!/usr/bin/env python3
import argparse
import json
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(description="Plot interactive histogram using a malt json output file")
parser.add_argument("malt_output_file", help="path to malt output file", type=str)
parser.add_argument("-e", "--export", help="export to csv", action="store_true")
def main():
args = parser.parse_args()
with open(args.malt_output_file, "r") as f:
res = json.load(f)
if args.export:
with open(args.malt_output_file.replace("json", "csv"), "w") as f:
print("Size", "Amount", file=f)
for size, amount in res["memStats"]["sizeMap"].items():
print(size, amount, file=f)
else:
sizes = []
sizes_smaller_4K = []
sizes_smaller_32K = []
sizes_bigger_32K = []
for size, amount in res["memStats"]["sizeMap"].items():
size = int(size)
sizes += [int(size)] * amount
if size < 4096:
sizes_smaller_4K += [int(size)] * amount
if size < 32000:
sizes_smaller_32K += [int(size)] * amount
else:
sizes_bigger_32K += [int(size)] * amount
plt.figure(0)
plt.hist(sizes_smaller_4K, 200)
plt.title("Sizes smaller than 4K")
plt.figure(1)
plt.hist(sizes_smaller_32K, 200)
plt.title("Sizes smaller than 32K")
plt.figure(2)
plt.hist(sizes_bigger_32K, 200)
plt.title("Sizes bigger than 32K")
plt.figure(3)
plt.hist(sizes, 200)
plt.title("All sizes")
plt.show()
if __name__ == "__main__":
main()
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