dev

Author: andrewm4894

.idea/misc.xml

@@ -0,0 +1,89 @@
+
+import requests
+import pandas as pd
+import numpy as np
+from netdata_pandas.data import get_data
+import matplotlib.pyplot as plt
+import streamlit as st
+from collections import OrderedDict
+from urllib.parse import urlparse
+import re
+
+
+def parse_netdata_url(url):
+    if url.startswith('http'):
+        url_parsed = urlparse(url)
+        url_dict = {
+            'host': url_parsed.hostname,
+            'port': url_parsed.port,
+            'host:port': f'{url_parsed.hostname}:{url_parsed.port}' if url_parsed.port else url_parsed.hostname,
+            'fragments': {frag.split('=')[0]: frag.split('=')[1] for frag in url_parsed.fragment.split(';') if '=' in frag}
+        }
+    else:
+        url_dict = {
+            'fragments': {frag.split('=')[0]: frag.split('=')[1] for frag in url.split(';') if
+                          '=' in frag}
+        }
+
+    if 'after' in url_dict['fragments']:
+        url_dict['after_long'] = int(int(url_dict['fragments']['after']))
+        url_dict['after'] = int(int(url_dict['fragments']['after']) / 1000)
+    if 'before' in url_dict['fragments']:
+        url_dict['before_long'] = int(int(url_dict['fragments']['before']))
+        url_dict['before'] = int(int(url_dict['fragments']['before']) / 1000)
+
+    if 'highlight_after' in url_dict['fragments']:
+        url_dict['highlight_after_long'] = int(int(url_dict['fragments']['highlight_after']))
+        url_dict['highlight_after'] = int(int(url_dict['fragments']['highlight_after']) / 1000)
+    if 'highlight_before' in url_dict['fragments']:
+        url_dict['highlight_before_long'] = int(int(url_dict['fragments']['highlight_before']))
+        url_dict['highlight_before'] = int(int(url_dict['fragments']['highlight_before']) / 1000)
+
+    child_host = re.search('/host/(.*?)/', url)
+    child_host = child_host.group(1) if child_host else None
+    print(child_host)
+    if child_host:
+        url_dict['child_host'] = child_host
+        url_dict['host:port'] = url_dict['host:port'] + f'/host/{child_host}'
+
+    return url_dict
+
+
+netdata_url = st.text_input('netdata_agent_dashboard_url', value='http://london.my-netdata.io/#after=-900000;before=0;=undefined;theme=slate;utc=Europe%2FLondon')
+
+
+url_dict = parse_netdata_url(netdata_url)
+host = url_dict['host:port']
+after = int(url_dict['fragments'].get('after', '-900000'))//1000
+before = int(url_dict['fragments'].get('before', '0'))//1000
+highlight_after = int(url_dict['fragments'].get('highlight_after', '0'))//1000
+highlight_before = int(url_dict['fragments'].get('highlight_before', '0'))//1000
+
+after = highlight_after if highlight_after > 0 else after
+before = highlight_before if highlight_before > 0 else before
+
+print(highlight_after)
+print(highlight_before)
+print(after)
+print(before)
+
+url_weights = f"http://{host}/api/v1/weights?after={after}&before={before}&options=raw"
+print(url_weights)
+
+weights_data = requests.get(url_weights).json()
+
+data = OrderedDict()
+for context in weights_data['contexts']:
+    context_key = f"{context}: {round(weights_data['contexts'][context]['weight'],2)}"
+    data[context_key] = dict()
+    for chart in weights_data['contexts'][context]['charts']:
+        chart_key = f"{chart}: {round(weights_data['contexts'][context]['charts'][chart]['weight'],2)}"
+        data[context_key][chart_key] = dict()
+        for dim in weights_data['contexts'][context]['charts'][chart]['dimensions']:
+            dim_key = dim
+            data[context_key][chart_key][dim_key] = round(weights_data['contexts'][context]['charts'][chart]['dimensions'][dim], 2)
+
+st.json(
+    data,
+    expanded=False
+)