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26
Dockerfile
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26
Dockerfile
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FROM python:slim
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ARG TARGETPLATFORM
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ARG BUILDPLATFORM
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LABEL authors="tebarius"
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LABEL version="0.1.0"
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LABEL description="netdata-DocRudi"
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WORKDIR /app
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COPY ./app /app/
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RUN apt-get update && \
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if [ "$TARGETPLATFORM" = "linux/arm/v7" ] || [ "$TARGETPLATFORM" = "linux/386" ]; then \
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apt-get install -y --no-install-recommends zlib1g-dev libjpeg-dev gcc; \
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fi && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN pip install --no-cache-dir --trusted-host pypi.python.org -r requirements.txt
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ENV SERVER_PORT=19998
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EXPOSE $SERVER_PORT
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CMD ["sh", "-c", "python netdata_DocRudi.py"]
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129
app/netdata_DocRudi.py
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129
app/netdata_DocRudi.py
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#!/usr/bin/env python3
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# -*- coding: utf8 -*-
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import json
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from datetime import datetime
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from urllib import request, parse, error
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import plotly.graph_objs as go
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import plotly.utils
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from flask import Flask, render_template
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from plotly.subplots import make_subplots
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from waitress import serve
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import os
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import sys
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import socket
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netdata_host = os.environ.get('NETDATA_HOST', 'http://localhost:19999')
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netdata_query_seconds = int(os.environ.get('NETDATA_QUERY_SECONDS', '200000'))
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netdata_query_points = int(os.environ.get('NETDATA_QUERY_POINTS', '3000'))
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print(type(netdata_query_points), file=sys.stderr)
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site_refresh = int(os.environ.get('SITE_REFRESH', '0'))
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server_host = socket.gethostname()
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server_ip = socket.gethostbyname(server_host)
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server_port = os.environ.get('SERVER_PORT', '19998')
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app = Flask(__name__)
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def get_docker_data(q_context, q_dimension):
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netdata_url = f"{netdata_host}/api/v2/data"
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params = {
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'group_by': 'instance',
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'scope_contexts': q_context,
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'dimensions': q_dimension,
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'format': 'json',
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'after': f'-{netdata_query_seconds}',
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'points': f'{netdata_query_points}',
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'group': 'average'
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}
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url = f"{netdata_url}?{parse.urlencode(params)}"
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with request.urlopen(url) as response:
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data = json.loads(response.read().decode())
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return data['result']
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def process_label(label):
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parts = label.split('@')[0].split('.')
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if parts and parts[0].startswith('cgroup_'):
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if parts[1] =='mem_usage':
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return f'mem_{parts[0][7:]}'
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else:
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return f'{parts[1]}_{parts[0][7:]}'
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return label
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def create_plot():
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result_data_cpu = get_docker_data('cgroup.cpu','*')
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result_data_mem_usage = get_docker_data('cgroup.mem_usage', 'ram')
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fig = make_subplots(rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.1,
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subplot_titles=('CPU-Nutzung der Docker-Container', 'Mem-Usage der Docker-Container'))
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def plot_data_function(data, row):
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if 'labels' in data and 'data' in data:
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labels = data['labels']
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plot_data = data['data']
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elif isinstance(data, list) and len(data) > 1:
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labels = data[0]
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plot_data = data[1:]
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else:
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print(f"Unerwartete Datenstruktur für Reihe {row}")
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return
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for i, label in enumerate(labels[1:], start=1): # Skip the first label (usually timestamp)
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if 'slice_system-slice' in labels[i]:
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continue
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y_values = [round(float(row[i]), 2) if row[i] is not None else None for row in plot_data]
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x_values = [datetime.fromtimestamp(row[0]) for row in plot_data]
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processed_label = process_label(label)
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trace = go.Scatter(
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x=x_values,
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y=y_values,
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mode='lines',
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name=processed_label
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)
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fig.add_trace(trace, row=row, col=1)
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plot_data_function(result_data_cpu, row=1)
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plot_data_function(result_data_mem_usage, row=2)
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# Beschriftung für oberen Graphen wenn bei make_subplots shared_xaxes=false
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# fig.update_xaxes(title_text="Zeit", tickformat='%Y-%m-%d %H:%M:%S', tickangle=0, row=1, col=1)
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fig.update_xaxes(title_text="Zeit", tickformat='%Y-%m-%d\n%H:%M:%S', tickangle=0, row=2, col=1)
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fig.update_yaxes(title_text="CPU-Nutzung (%)", tickformat='.2f', rangemode='tozero', row=1, col=1)
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fig.update_yaxes(title_text="MemUsage (MiB)", tickformat='.0f', rangemode='tozero', row=2, col=1)
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fig.update_layout(
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height=1000,
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legend_title="Container",
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margin=dict(b=100),
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showlegend=True,
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paper_bgcolor='#a1bdd6',
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plot_bgcolor='#687a8a'
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)
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return plotly.utils.PlotlyJSONEncoder().encode(fig)
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@app.route('/')
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def index():
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plot = create_plot()
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return render_template('index.html', plot=plot, netdata_host=netdata_host,
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site_refresh=site_refresh)
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def check_url(url, timeout=5):
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try:
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with request.urlopen(url, timeout=timeout):
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print(f"Die Netdata-URL {url} ist erreichbar.", file=sys.stderr)
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except error.URLError as e:
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print(f"Fehler: Die URL {url} ist nicht erreichbar.", file=sys.stderr)
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print(f"Fehlermeldung: {str(e)}", file=sys.stderr)
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sys.exit(1)
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if __name__ == '__main__':
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# app.run(host='0.0.0.0', port=19998, debug=True)
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check_url(netdata_host)
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print(f"Dashboard started at http://{server_host}:{server_port} | http://{server_ip}:{server_port}", file=sys.stderr)
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serve(app, host="0.0.0.0", port=server_port)
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13
app/requirements.txt
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13
app/requirements.txt
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blinker==1.9.0
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click==8.1.7
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colorama==0.4.6
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Flask==3.1.0
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itsdangerous==2.2.0
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Jinja2==3.1.4
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MarkupSafe==3.0.2
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packaging==24.2
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plotly==5.24.1
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tenacity==9.0.0
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Werkzeug==3.1.3
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waitress~=3.0.2
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20
app/templates/index.html
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20
app/templates/index.html
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<!DOCTYPE html>
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<html lang="de">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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{% if site_refresh > 0 %}
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<meta http-equiv="refresh" content="{{ site_refresh }}">
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{% endif %}
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<title>Docker Container CPU-Nutzung</title>
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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</head>
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<body style="background-color:#64a0d6">
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<h1>Docker Container CPU/MEM from netdata: <a href="{{ netdata_host }}" target="_blank">{{ netdata_host }}</a></h1>
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<div id="plot"></div>
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<script>
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var graphs = {{ plot | safe }};
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Plotly.plot('plot', graphs, {});
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</script>
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</body>
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</html>
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15
docker-compose.yml
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15
docker-compose.yml
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services:
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doc_rudi:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: doc_rudi
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restart: unless-stopped
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ports:
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- "19997:19997"
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environment:
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NETDATA_HOST: http://my-netdata-ip:19999 # default: http://localhost:19999
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#NETDATA_QUERY_SECONDS: 200000 # default: 200000 (last how many seconds to get from netdata)
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#NETDATA_QUERY_POINTS: 3000 # default: 3000 (how many points in a row for the query)
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#SITE_REFRESH: 0 # default: 0 (no refresh)
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#SERVER_PORT: 19998 # default: 19998 (internal Port of Server)
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