73 lines
1.9 KiB
Python
73 lines
1.9 KiB
Python
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import argparse
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import json
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from datetime import datetime
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import pygal
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PNG_OUTPUT = 'mem_usage.png'
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def parse_args():
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parser = argparse.ArgumentParser(
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description=("Render for docker stats memory usage")
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)
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parser.add_argument('stats', type=str, help="Path to stats file")
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parser.add_argument('--web', '-w', action='store_true',
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help="Render in web browser instead of svg")
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args = parser.parse_args()
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return args.stats, args.web
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def name_from_field(field: str) -> str :
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if field.startswith("onlyoffice-"):
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return "onlyoffice"
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return field.split("_")[0]
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def main():
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stats_fn, web_render = parse_args()
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data = load_data(stats_fn)
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render(data, web_render)
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def load_data(stats_fn: str):
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with open(stats_fn) as stats_f:
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data = json.load(stats_f)
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data_dict = {name_from_field(field): [0]*len(data) for field in data[0]}
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print("Found", len(data), "points")
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for t_i, stat in enumerate(data):
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for field in stat:
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if field == "date": # date
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data_dict[field][t_i] = datetime.strptime(stat[field], "%Y-%m-%dT%H:%M:%S%z")
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else: # float
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value = stat[field].split(" ")[0]
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value = value.replace("MiB", "e3")
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data_dict[name_from_field(field)][t_i] += float(value) / 1000 # values are in MiB
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return data_dict
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def render(data: dict, web_render:bool=False):
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bar_chart = pygal.StackedBar(height=400)
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bar_chart.x_labels = data["date"]
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for k in data:
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if k == "date":
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continue
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#if "db" in k or "database" in k or "mysql" in k or "mongo" in k or "postgre" in k:
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# continue
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bar_chart.add(k, data[k])
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if web_render:
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bar_chart.render_in_browser()
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else:
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bar_chart.render_to_png(PNG_OUTPUT)
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print("Image generated in:", PNG_OUTPUT)
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if __name__ == "__main__":
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main()
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