Replace the if switch with a lambda and a for loop
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1 changed files with 8 additions and 14 deletions
20
httping.py
20
httping.py
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@ -26,28 +26,21 @@ max_ping = datetime.timedelta(milliseconds = 1000) # in seconds
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targets = ["https://www.google.de", "https://www.bing.com", "https://www.wikipedia.org"]
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max_ping_in_ms = max_ping.total_seconds() * 1000
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in_bin = lambda x, bin: x >= bin[0] and x <= bin[1]
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class Themes:
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# Themes are from http://colorbrewer2.org/
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purple_green = ["#762a83", "#9970ab","#c2a5cf","#a6dba0","#5aae61","#1b7837"]
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red_green = ["#d73027", "#fc8d59","#fee08b","#d9ef8b","#91cf60","#1a9850"]
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original = ["#acacac","#ff0101","#cc673b","#ce8458","#6bbb15","#0ed812"]
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selected_colors = red_green
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generate_bins = lambda min_val, max_val, step_width = 2: [[x, x + step_width - 1] for x in range(min_val, max_val, step_width)]
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bins = generate_bins(0, int(max_ping_in_ms), int(max_ping_in_ms / (len(selected_colors) - 1)))
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def colorize(response_time):
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# panda's "cut" functon would be an alternative here, but this would be overkill, to include numpy just for this
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if response_time < max_ping_in_ms / 5:
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return Themes.selected_colors[5]
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elif response_time >= max_ping_in_ms / 5 and response_time < 2 * max_ping_in_ms / 5:
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return Themes.selected_colors[4]
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elif response_time >= 2 * max_ping_in_ms / 5 and response_time < 3 * max_ping_in_ms / 5:
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return Themes.selected_colors[3]
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elif response_time >= 3 * max_ping_in_ms / 5 and response_time < 4 * max_ping_in_ms / 5:
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return Themes.selected_colors[2]
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elif response_time >= 4 * max_ping_in_ms / 5 and response_time < max_ping_in_ms:
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return Themes.selected_colors[1]
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else:
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for index, bin in enumerate(Themes.bins):
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if in_bin(response_time, bin):
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return Themes.selected_colors[len(Themes.selected_colors) - 1 - index]
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return Themes.selected_colors[0]
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def httping(targets):
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@ -59,6 +52,7 @@ def httping(targets):
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print(str(ex), file=sys.stderr)
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responses[target] = None
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response_times = [value for key, value in responses.items() if isinstance(value, float)]
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if len(response_times) > 1:
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return responses, statistics.median(response_times), statistics.stdev(response_times)
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elif len(response_times) > 0:
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