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import json |
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import sys |
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import numpy as np |
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from collections import Counter |
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import matplotlib as mpl |
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import matplotlib.pyplot as plt |
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files = sys.argv[1:] |
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def retrieve_day_to_num_signups(file): |
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with open(file, "r") as f: |
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json_file = json.load(f) |
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list_of_days = [x["time"].split("T")[0] for x in json_file] |
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return Counter(list_of_days) |
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files = {f.split()[0].split("user-access-report-")[-1]: f for f in files} |
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counters = {file: retrieve_day_to_num_signups(path) for file, path in files.items()} |
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total_counters = {file: np.cumsum(list(counters[file].values())) for file in files.keys()} |
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max_size = max([c.shape[0] for c in list(total_counters.values())]) |
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time_axis = np.arange(0, max_size) |
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plot_counters = {} |
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for k, v in total_counters.items(): |
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plot_counters[k] = np.zeros(max_size, dtype=np.int32) |
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if not v.shape[0] == max_size: |
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plot_counters[k][-v.shape[0]:] = v |
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else: |
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plot_counters[k] = v |
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fig, ax = plt.subplots() |
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for file in files.keys(): |
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ax.plot(time_axis, plot_counters[file], label=file) |
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ax.set_xlabel("day since launch (on 23/08)") |
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ax.set_ylabel("number of requsets") |
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ax.set_title("Acces requests comparision") |
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ax.legend() |
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plt.savefig("access_requests.png") |
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