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, panel_extension as extension
from ..depends import bind
from ..layout import (
    Accordion, Column, FlexBox, Row, Tabs,
from ..pane import HTML, Bokeh
from ..template import FastListTemplate
from ..widgets import (
    Button, MultiSelect, Tabulator, 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


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_id] + session_filter.options 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')
class _LogTabulator(Tabulator): _update_defaults = { "theme": "midnight", "layout": "fit_data_stretch", "show_index": False, "sorters": [{'field': 'datetime', 'dir': 'dsc'}], "disabled": True, "pagination": "local", "page_size": 18, } def __init__(self, **params): params["value"] = self._create_frame() params = {**self._update_defaults, **params} super().__init__(**params) @staticmethod def _create_frame(data=None): columns=["datetime", "level", "app", "session", "message"] if data is None: return pd.DataFrame(columns=columns) else: return pd.Series(data, index=columns) def write(self, log): # Example of a log message: # '2022-07-13 14:38:04,803 INFO: - Session 140255299576448 launching\n' try: s = log.strip().split(" ") datetime = f"{s[0]} {s[1]}" level = s[2][:-1] app = s[3] session = int(s[6]) message = " ".join(s[7:]) df = self._create_frame([datetime, level, app, session, message]), follow=False) except Exception: pass # Set up logging data = Data() log_data_handler = LogDataHandler(data) log_handler = logging.StreamHandler() log_handler.setLevel(config.admin_log_level) 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 = _LogTabulator(sizing_mode='stretch_both', min_height=400) log_handler.setStream(log_terminal) session_filter = MultiSelect(name='Filter by session', options=[]) message_filter = TextInput(name='Filter by message') level_filter = MultiSelect(name="Filter by level", options=["DEBUG", "INFO", "WARNING", "ERROR"]) app_filter = TextInput(name='Filter by app') def _textinput_filter(df, pattern, column): if not pattern or df.empty: return df return df[df[column].str.contains(pattern)].copy() log_terminal.add_filter(level_filter, 'level') log_terminal.add_filter(bind(_textinput_filter, pattern=app_filter, column='app')) log_terminal.add_filter(session_filter, 'session') log_terminal.add_filter(bind(_textinput_filter, pattern=message_filter, column='message')) def _clear_log_filters(*events): level_filter.value = [] app_filter.value = "" session_filter.value = [] message_filter.value = "" reset_filter = Button(name="Clear filters") reset_filter.on_click(_clear_log_filters) download_filename, download_button = log_terminal.download_menu( text_kwargs={'name': 'Enter filename for logfile', 'value': 'log.csv'}, button_kwargs={'name': 'Download logfile'} ) 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 try: update_cds(record) except Exception: pass 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_process(): import psutil if os.getpid() in PROCESSES: process = PROCESSES[os.getpid()] else: PROCESSES[os.getpid()] = process = psutil.Process(os.getpid()) return process def get_mem(): return pd.DataFrame([(time.time(), get_process().memory_info().rss/1024/1024)], columns=['time', 'memory']) def get_cpu(): return pd.DataFrame([(time.time(), get_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_stats(): stats_cb = state.add_periodic_callback(update_stats, period=1000, start=False) stats_cb.log = False stats_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() try: import psutil # noqa except Exception: layout.append(info) return layout else: layout.extend([*get_process_info(), info]) return layout def log_component(): # Without this tabulator is empty after reload of website log_terminal.param.trigger("value") return Column( Accordion( ('Filters & Download', Row( level_filter, app_filter, session_filter, message_filter, Column( download_filename, download_button, reset_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_template(doc): extension('tabulator', 'terminal') log_sessions.append(id(doc)) def _remove_log_session(session_context): log_sessions.remove(id(doc)) doc.on_session_destroyed(_remove_log_session) # Add and remove admin panel app from log sessions list # 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()) ]) tabs.extend([ (name, plugin()) for name, plugin in config.admin_plugins ]) template.main.append(tabs) return template def admin_panel(doc): with set_curdoc(doc): template = admin_template(doc) template.server_doc(doc) return doc