Source code for

import datetime as dt
import logging
import os
import sys
import time

from functools import partial

import bokeh
import numpy as np
import pandas as pd
import param

from bokeh.models import HoverTool
from bokeh.plotting import ColumnDataSource, figure

from ..config import config
from ..models import terminal # noqa
from ..pane import Bokeh, HTML
from ..layout import Accordion, Column, Row, Tabs, FlexBox
from ..template import FastListTemplate
from ..widgets import MultiSelect, Terminal, TextInput
from ..widgets.indicators import Trend
from .logging import (
from .notebook import push_notebook
from .profile import profiling_tabs
from .server import set_curdoc
from .state import state

    import psutil
    process = psutil.Process(os.getpid())
except Exception:
    process = None

log_sessions = []

[docs]class LogFilter(logging.Filter):
[docs] def filter(self, record): if 'Session ' not in record.msg: return True session_id = record.args[0] if session_id in log_sessions: return False elif session_id not in session_filter.options: session_filter.options = session_filter.options + [session_id] if session_filter.value and session_id not in session_filter.value: return False if name_filter.value and name_filter.value not in return False return True
[docs]class Data(param.Parameterized): data = param.List()
[docs]class LogDataHandler(logging.StreamHandler): def __init__(self, data): super().__init__() self._data = data
[docs] def emit(self, record): if 'Session ' not in record.msg: return self._data.param.trigger('data')
# Set up logging data = Data() log_data_handler = LogDataHandler(data) log_handler = logging.StreamHandler() log_handler.setLevel('DEBUG') panel_logger.addHandler(log_handler) panel_logger.addHandler(log_data_handler) log_filter = LogFilter() log_handler.addFilter(log_filter) log_data_handler.addFilter(log_filter) formatter = logging.Formatter('%(asctime)s %(levelname)s: %(name)s - %(message)s') log_handler.setFormatter(formatter) log_terminal = Terminal(sizing_mode='stretch_both', min_height=400) log_handler.setStream(log_terminal) session_filter = MultiSelect(name='Filter by session', options=[]) name_filter = TextInput(name='Filter by component') EVENT_TYPES = { 'initializing': 'MediumSeaGreen', 'destroyed': 'red', 'rendering': 'Orange', 'processing': 'DodgerBlue', 'periodic': 'Violet', 'logging': 'white' } def get_timeline(doc=None): sessions = [] # Configure plot p = figure( y_range=list(sessions), x_axis_type='datetime', sizing_mode='stretch_both' ) cds = ColumnDataSource(data={ 'x0': [], 'x1': [], 'y0': [], 'y1': [], 'msg': [], 'session': [], 'color': [], 'line_color': [], 'type': [] }) p.yaxis.axis_label = 'Sessions' p.quad( left='x0', right='x1', top='y1', bottom='y0', source=cds, line_color='line_color', fill_color='color', alpha=0.7, legend_field='type' ) p.legend.location = "top_left" p.add_tools(HoverTool( tooltips=[ ('Start', '@x0{%F %T}'), ('End', '@x1{%F %T}'), ('Session', '@session'), ('Message', '@msg'), ], formatters={'@x0': 'datetime', '@x1': 'datetime'} )) def update_cds(new, nb=False): sid = str(new.args[0]) if sid not in sessions: sessions.append(sid) if 'finished processing events' in new.msg: msg = new.getMessage() etype = 'processing' try: index =['msg'].index(msg.replace('finished processing', 'received')) except Exception: return patch = { 'x1': [(index, new.created*1000)], 'color': [(index, EVENT_TYPES[etype])], 'type': [(index, etype)], 'msg': [(index, msg.replace('finished processing', 'processed'))] } cds.patch(patch) elif new.msg == LOG_SESSION_CREATED: index =['msg'].index(LOG_SESSION_LAUNCHING % sid) etype = 'initializing' patch = { 'x1': [(index, new.created*1000)], 'color': [(index, EVENT_TYPES[etype])], 'type': [(index, etype)], 'msg': [(index, f'Session {sid} initializing')] } cds.patch(patch) elif 'finished executing periodic callback' in new.msg: etype = 'periodic' msg = new.getMessage() index =['msg'].index(msg.replace('finished executing', 'executing')) patch = { 'x1': [(index, new.created*1000)], 'color': [(index, EVENT_TYPES[etype])], 'type': [(index, etype)] } cds.patch(patch) elif new.msg.endswith('rendered'): try: index =['msg'].index(f'Session {sid} initializing') x0 =['x1'][index] except ValueError: x0 = new.created*1000 etype = 'rendering' event = { 'x0': [x0], 'x1': [new.created*1000], 'y0': [(sid, -.25)], 'y1': [(sid, .25)], 'session': [sid], 'msg': [new.getMessage().replace('rendered', 'rendering')], 'color': [EVENT_TYPES[etype]], 'line_color': ['black'], 'type': [etype] } else: msg = new.getMessage() line_color = 'black' if msg.startswith('Session %s logged' % sid): etype = 'logging' line_color = EVENT_TYPES.get(etype) elif msg.startswith(LOG_SESSION_DESTROYED % sid): etype = 'destroyed' line_color = EVENT_TYPES.get(etype) elif 'executing periodic callback' in msg: etype = 'periodic' line_color = EVENT_TYPES.get(etype) else: etype = 'processing' event = { 'x0': [new.created*1000], 'x1': [new.created*1000], 'y0': [(sid, -.25)], 'y1': [(sid, .25)], 'session': [sid], 'msg': [msg], 'color': [EVENT_TYPES[etype]], 'line_color': [line_color], 'type': [etype] } if p.y_range.factors != sessions: p.y_range.factors = list(sessions) if nb: push_notebook(bk_pane) for record in update_cds(record) def schedule_cds_update(event): new =[-1] if doc: doc.add_next_tick_callback(partial(update_cds, new)) else: update_cds(new, nb=True) watcher =, 'data') if doc: def _unwatch_data(session_context): log_data_handler._data.param.unwatch(watcher) doc.on_session_destroyed(_unwatch_data) bk_pane = Bokeh(p) return bk_pane def get_version_info(): from panel import __version__ return HTML(f""" <h4> Panel Server running on following versions: </h4> <code> Python {sys.version.split('|')[0]}</br> Panel: {__version__}</br> Bokeh: {bokeh.__version__}</br> Param: {param.__version__}</br> </code>""", width=300, height=300, margin=(0, 5)) def get_mem(): return pd.DataFrame([(time.time(), process.memory_info().rss/1024/1024)], columns=['time', 'memory']) def get_cpu(): return pd.DataFrame([(time.time(), process.cpu_percent())], columns=['time', 'cpu']) def get_process_info(): memory = Trend( data=get_mem(), plot_x='time', plot_y='memory', plot_type='step', title='Memory Usage (MB)', width=300, height=300 ) cpu = Trend( data=get_cpu(), plot_x='time', plot_y='cpu', plot_type='step', title='CPU Usage (%)', width=300, height=300 ) def update_memory(): def update_cpu(): mem_cb = state.add_periodic_callback(update_memory, period=1000, start=False) cpu_cb = state.add_periodic_callback(update_cpu, period=1000, start=False) mem_cb.log = False cpu_cb.log = False mem_cb.start() cpu_cb.start() return memory, cpu def get_session_data(): durations, renders, sessions = [], [], [] session_info = state.session_info['sessions'] for i, session in enumerate(session_info.values()): is_live = session['ended'] is None live = sum([ 1 for s in session_info.values() if s['launched'] < session['launched'] and (not s['ended'] or s['ended'] > session['launched']) ]) + 1 if session['rendered'] is not None: renders.append(session['rendered']-session['started']) if not is_live: durations.append(session['ended']-session['launched']) duration = np.mean(durations) if durations else 0 render = np.mean(renders) if renders else 0 sessions.append((session['launched'], live, i+1, render, duration)) if not sessions: i = -1 duration = 0 render = 0 now = live = sum([ 1 for s in session_info.values() if s['launched'] < now and (not s['ended'] or s['ended'] > now) ]) sessions.append((now, live, i+1, render, duration)) return pd.DataFrame(sessions, columns=['time', 'live', 'total', 'render', 'duration']) def get_session_info(doc=None): df = get_session_data() total = Trend( data=df[['time', 'total']], plot_x='time', plot_y='total', plot_type='step', title='Total Sessions', width=300, height=300 ) active = Trend( data=df[['time', 'live']], plot_x='time', plot_y='live', plot_type='step', title='Active Sessions', width=300, height=300 ) render = Trend( data=df[['time', 'render']], plot_x='time', plot_y='render', plot_type='step', title='Avg. Time to Render (s)', width=300, height=300 ) duration = Trend( data=df[['time', 'duration']], plot_x='time', plot_y='duration', plot_type='step', title='Avg. Session Duration (s)', width=300, height=300 ) # Set up callbacks def update_session_info(event): df = get_session_data() for trend in (total, active, render, duration): = df[[trend.plot_x, trend.plot_y]] watcher =, 'session_info') if doc: def _unwatch_session_info(session_context): state.param.unwatch(watcher) doc.on_session_destroyed(_unwatch_session_info) return total, active, render, duration def get_overview(doc=None): layout = FlexBox(*get_session_info(doc), margin=0, sizing_mode='stretch_width') info = get_version_info() if process is None: layout.append(info) return layout layout.extend([*get_process_info(), info]) return layout def log_component(): return Column( Accordion( ('Filters', Row( session_filter, name_filter, sizing_mode='stretch_width' )), active=[], active_header_background='#444444', header_background='#333333', sizing_mode='stretch_width' ), log_terminal, sizing_mode='stretch_both' ) def admin_panel(doc): # Add and remove admin panel app from log sessions list log_sessions.append(id(doc)) def _remove_log_session(session_context): log_sessions.remove(id(doc)) doc.on_session_destroyed(_remove_log_session) # Set up admin panel template = FastListTemplate(title='Admin Panel', theme='dark') tabs = Tabs( ('Overview', get_overview(doc)), ('Timeline', get_timeline(doc)), margin=0, sizing_mode='stretch_both' ) if config.profiler: tabs.append( ('Launch Profiling', profiling_tabs(state, r'^\/.*', None)) ) tabs.extend([ ('User Profiling', profiling_tabs(state, None, r'^\/.*')), ('Logs', log_component()) ]) template.main.append(tabs) with set_curdoc(doc): template.server_doc(doc) return doc