mirror of
https://github.com/ENSL/ensl_hlds.git
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74 lines
1.8 KiB
Python
Executable file
74 lines
1.8 KiB
Python
Executable file
#!/usr/bin/env python3
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import rHLDS, yaml, re, time, os, argparse
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from datetime import datetime
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from bokeh.plotting import figure, output_file, show
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#from bokeh.charts import Area, show, output_file, defaults
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#from bokeh.layouts import row
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#defaults.width = 1024
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#defaults.height = 1024
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def write_data(filename):
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# Default port 27015
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srv = rHLDS.Console(host=os.environ['RCON_HOST'], port=os.environ['RCON_PORT'], password=os.environ['RCON_PASSWORD'])
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srv.connect()
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timestamp = time.time()
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file1 = open(filename, "a+")
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try:
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while True:
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data = srv.execute("stats")
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fps = re.search('(\d+.?\d*)(\d+.?\d*\s*)(\d+.?\d*\s*)(\d+.?\d*\s*)(\d+.?\d*\s*)(\d+.?\d*\s*)(\d+.?\d*\s*)', data).group(7)
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if fps:
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file1.write("%d,%s\n" % (time.time(), fps))
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print(fps + " ", end='')
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time.sleep(5)
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except:
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pass
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file1.close()
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srv.disconnect()
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# Read data
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def read_data(filename):
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file1 = open(filename, "r")
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fps_time = []
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fps_data = []
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while True:
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line = file1.readline()
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if not line: break
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time = re.search('(\d+),(\d+).(\d*)', line).group(1)
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fps = re.search('(\d+),(\d+)', line).group(2)
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if fps and time:
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print('time: ' + time)
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print('fps: ' + fps)
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fps_time.append(datetime.fromtimestamp(int(time)))
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fps_data.append(fps)
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# output to static HTML file
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output_file("%s.html" % filename)
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# create a new plot with a title and axis labels
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p = figure(title="hlds_linux stats", x_axis_label='time', y_axis_label='FPS', x_axis_type="datetime", width=1600)
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# add a line renderer with legend and line thickness
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p.line(fps_time, fps_data, legend="FPS", line_width=2)
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# show the results
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show(p)
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filename = "data.%d" % time.time()
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parser = argparse.ArgumentParser()
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parser.add_argument("--file", help="Use the given file")
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args = parser.parse_args()
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if not args.file:
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write_data(filename)
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else:
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filename = args.file
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read_data(filename)
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